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Sample records for extraction method based

  1. A Robust Digital Watermark Extracting Method Based on Neural Network

    Institute of Scientific and Technical Information of China (English)

    GUOLihua; YANGShutang; LIJianhua

    2003-01-01

    Since watermark removal software, such as StirMark, has succeeded in washing watermarks away for most of the known watermarking systems, it is necessary to improve the robustness of watermarking systems. A watermark extracting method based on the error Back propagation (BP) neural network is presented in this paper, which can efficiently improve the robustness of watermarking systems. Experiments show that even if the watermarking systems are attacked by the StirMark software, the extracting method based on neural network can still efficiently extract the whole watermark information.

  2. Phase extraction based on sinusoidal extreme strip phase shifting method

    Science.gov (United States)

    Hui, Mei; Liu, Ming; Dong, Liquan; Liu, Xiaohua; Zhao, Yuejin

    2015-08-01

    Multiple synthetic aperture imaging can enlarge pupil diameter of optical systems, and increase system resolution. Multiple synthetic aperture imaging is a cutting-edge topic and research focus in recent years, which is prospectively widely applied in fields like astronomical observations and aerospace remote sensing. In order to achieve good imaging quality, synthetic aperture imaging system requires phase extraction of each sub-aperture and co-phasing of whole aperture. In the project, an in-depth study about basic principles and methods of segments phase extraction was done. The study includes: application of sinusoidal extreme strip light irradiation phase shift method to extract the central dividing line to get segment phase extraction information, and the use of interference measurement to get the aperture phase extraction calibration coefficients of spherical surface. Study about influence of sinusoidal extreme strip phase shift on phase extraction, and based on sinusoidal stripe phase shift from multiple linear light sources of the illumination reflected image, to carry out the phase shift error for inhibiting the effect in the phase extracted frame.

  3. Facial Feature Extraction Method Based on Coefficients of Variances

    Institute of Scientific and Technical Information of China (English)

    Feng-Xi Song; David Zhang; Cai-Kou Chen; Jing-Yu Yang

    2007-01-01

    Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are two popular feature ex- traction techniques in statistical pattern recognition field. Due to small sample size problem LDA cannot be directly applied to appearance-based face recognition tasks. As a consequence, a lot of LDA-based facial feature extraction techniques are proposed to deal with the problem one after the other. Nullspace Method is one of the most effective methods among them. The Nullspace Method tries to find a set of discriminant vectors which maximize the between-class scatter in the null space of the within-class scatter matrix. The calculation of its discriminant vectors will involve performing singular value decomposition on a high-dimensional matrix. It is generally memory- and time-consuming. Borrowing the key idea in Nullspace method and the concept of coefficient of variance in statistical analysis we present a novel facial feature extraction method, i.e., Discriminant based on Coefficient of Variance (DCV) in this paper. Experimental results performed on the FERET and AR face image databases demonstrate that DCV is a promising technique in comparison with Eigenfaces, Nullspace Method, and other state-of-the-art facial feature extraction methods.

  4. Spindle extraction method for ISAR image based on Radon transform

    Science.gov (United States)

    Wei, Xia; Zheng, Sheng; Zeng, Xiangyun; Zhu, Daoyuan; Xu, Gaogui

    2015-12-01

    In this paper, a method of spindle extraction of target in inverse synthetic aperture radar (ISAR) image is proposed which depends on Radon Transform. Firstly, utilizing Radon Transform to detect all straight lines which are collinear with these line segments in image. Then, using Sobel operator to detect image contour. Finally, finding all intersections of each straight line and image contour, the two intersections which have maximum distance between them is the two ends of this line segment and the longest line segment of all line segments is spindle of target. According to the proposed spindle extraction method, one hundred simulated ISAR images which are respectively rotated 0 degrees, 10 degrees, 20 degrees, 30 degrees and 40 degrees in counterclockwise are used to do experiment and the proposed method and the detection results are more close to the real spindle of target than the method based on Hough Transform .

  5. Curvelet Transform-Based Denoising Method for Doppler Frequency Extraction

    Institute of Scientific and Technical Information of China (English)

    HOU Shu-juan; WU Si-liang

    2007-01-01

    A novel image denoising method based on curvelet transform is proposed in order to improve the performance of Doppler frequency extraction in low signal-noise-ratio (SNR) environment. The echo can be represented as a gray image with spectral intensity as its gray values by time-frequency transform. And the curvelet coefficients of the image are computed. Then an adaptive soft-threshold scheme based on dual-median operation is implemented in curvelet domain. After that, the image is reconstructed by inverse curvelet transform and the Doppler curve is extracted by a curve detection scheme. Experimental results show the proposed method can improve the detection of Doppler frequency in low SNR environment.

  6. A window-based time series feature extraction method.

    Science.gov (United States)

    Katircioglu-Öztürk, Deniz; Güvenir, H Altay; Ravens, Ursula; Baykal, Nazife

    2017-08-09

    This study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and involves significantly low computational complexity thereby rendering itself useful for densely sampled and populated time series datasets. In this study, WTC is applied to a proprietary action potential (AP) time series dataset on human cardiomyocytes and three precordial leads from a publicly available electrocardiogram (ECG) dataset. This is followed by comparing WTC in terms of predictive accuracy and computational complexity with shapelet transform and fast shapelet transform (which constitutes an accelerated variant of the shapelet transform). The results indicate that WTC achieves a slightly higher classification performance with significantly lower execution time when compared to its shapelet-based alternatives. With respect to its interpretable features, WTC has a potential to enable medical experts to explore definitive common trends in novel datasets. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. CEMS using hot wet extractive method based on DOAS

    Science.gov (United States)

    Sun, Bo; Zhang, Chi; Sun, Changku

    2011-11-01

    A continuous emission monitoring system (CEMS) using hot wet extractive method based on differential optical absorption spectroscopy (DOAS) is designed. The developed system is applied to retrieving the concentration of SO2 and NOx in flue gas on-site. The flue gas is carried along a heated sample line into the sample pool at a constant temperature above the dew point. In this case, the adverse impact of water vapor on measurement accuracy is reduced greatly, and the on-line calibration is implemented. And then the flue gas is discharged from the sample pool after the measuring process is complete. The on-site applicability of the system is enhanced by using Programmable Logic Controller (PLC) to control each valve in the system during the measuring and on-line calibration process. The concentration retrieving method used in the system is based on the partial least squares (PLS) regression nonlinear method. The relationship between the known concentration and the differential absorption feature gathered by the PLS nonlinear method can be figured out after the on-line calibration process. Then the concentration measurement of SO2 and NOx can be easily implemented according to the definite relationship. The concentration retrieving method can identify the information and noise effectively, which improves the measuring accuracy of the system. SO2 with four different concentrations are measured by the system under laboratory conditions. The results proved that the full-scale error of this system is less than 2%FS.

  8. An image segmentation based method for iris feature extraction

    Institute of Scientific and Technical Information of China (English)

    XU Guang-zhu; ZHANG Zai-feng; MA Yi-de

    2008-01-01

    In this article, the local anomalistic blocks such ascrypts, furrows, and so on in the iris are initially used directly asiris features. A novel image segmentation method based onintersecting cortical model (ICM) neural network was introducedto segment these anomalistic blocks. First, the normalized irisimage was put into ICM neural network after enhancement.Second, the iris features were segmented out perfectly and wereoutput in binary image type by the ICM neural network. Finally,the fourth output pulse image produced by ICM neural networkwas chosen as the iris code for the convenience of real timeprocessing. To estimate the performance of the presentedmethod, an iris recognition platform was produced and theHamming Distance between two iris codes was computed tomeasure the dissimilarity between them. The experimentalresults in CASIA vl.0 and Bath iris image databases show thatthe proposed iris feature extraction algorithm has promisingpotential in iris recognition.

  9. A Karnaugh-Map based fingerprint minutiae extraction method

    Directory of Open Access Journals (Sweden)

    Sunil Kumar Singla

    2010-07-01

    Full Text Available Fingerprint is one of the most promising method among all the biometric techniques and has been used for thepersonal authentication for a long time because of its wide acceptance and reliability. Features (Minutiae are extracted fromthe fingerprint in question and are compared with the features already stored in the database for authentication. Crossingnumber (CN is the most commonly used minutiae extraction method for fingerprints. In this paper, a new Karnaugh-Mapbased fingerprint minutiae extraction method has been proposed and discussed. In the proposed algorithm the 8 neighborsof a pixel in a 33 window are arranged as 8 bits of a byte and corresponding hexadecimal (hex value is calculated. Thesehex values are simplified using standard Karnaugh-Map (K-map technique to obtain the minimized logical expression.Experiments conducted on the FVC2002/Db1_a database reveals that the developed method is better than the crossingnumber (CN method.

  10. A silica gel based method for extracting insect surface hydrocarbons.

    Science.gov (United States)

    Choe, Dong-Hwan; Ramírez, Santiago R; Tsutsui, Neil D

    2012-02-01

    Here, we describe a novel method for the extraction of insect cuticular hydrocarbons using silica gel, herein referred to as "silica-rubbing". This method permits the selective sampling of external hydrocarbons from insect cuticle surfaces for subsequent analysis using gas chromatography-mass spectrometry (GC-MS). The cuticular hydrocarbons are first adsorbed to silica gel particles by rubbing the cuticle of insect specimens with the materials, and then are subsequently eluted using organic solvents. We compared the cuticular hydrocarbon profiles that resulted from extractions using silica-rubbing and solvent-soaking methods in four ant and one bee species: Linepithema humile, Azteca instabilis, Camponotus floridanus, Pogonomyrmex barbatus (Hymenoptera: Formicidae), and Euglossa dilemma (Hymenoptera: Apidae). We also compared the hydrocarbon profiles of Euglossa dilemma obtained via silica-rubbing and solid phase microextraction (SPME). Comparison of hydrocarbon profiles obtained by different extraction methods indicates that silica rubbing selectively extracts the hydrocarbons that are present on the surface of the cuticular wax layer, without extracting hydrocarbons from internal glands and tissues. Due to its surface specificity, efficiency, and low cost, this new method may be useful for studying the biology of insect cuticular hydrocarbons.

  11. A hybrid method for pancreas extraction from CT image based on level set methods.

    Science.gov (United States)

    Jiang, Huiyan; Tan, Hanqing; Fujita, Hiroshi

    2013-01-01

    This paper proposes a novel semiautomatic method to extract the pancreas from abdominal CT images. Traditional level set and region growing methods that request locating initial contour near the final boundary of object have problem of leakage to nearby tissues of pancreas region. The proposed method consists of a customized fast-marching level set method which generates an optimal initial pancreas region to solve the problem that the level set method is sensitive to the initial contour location and a modified distance regularized level set method which extracts accurate pancreas. The novelty in our method is the proper selection and combination of level set methods, furthermore an energy-decrement algorithm and an energy-tune algorithm are proposed to reduce the negative impact of bonding force caused by connected tissue whose intensity is similar with pancreas. As a result, our method overcomes the shortages of oversegmentation at weak boundary and can accurately extract pancreas from CT images. The proposed method is compared to other five state-of-the-art medical image segmentation methods based on a CT image dataset which contains abdominal images from 10 patients. The evaluated results demonstrate that our method outperforms other methods by achieving higher accuracy and making less false segmentation in pancreas extraction.

  12. Apriori and N-gram Based Chinese Text Feature Extraction Method

    Institute of Scientific and Technical Information of China (English)

    王晔; 黄上腾

    2004-01-01

    A feature extraction, which means extracting the representative words from a text, is an important issue in text mining field. This paper presented a new Apriori and N-gram based Chinese text feature extraction method, and analyzed its correctness and performance. Our method solves the question that the exist extraction methods cannot find the frequent words with arbitrary length in Chinese texts. The experimental results show this method is feasible.

  13. An answer summarization method based on keyword extraction

    Directory of Open Access Journals (Sweden)

    Fan Qiaoqing

    2017-01-01

    Full Text Available In order to reduce the redundancy of answer summary generated from community q&a dataset without topic tags, we propose an answer summarization algorithm based on keyword extraction. We combine tf-idf with word vector to change the influence transferred ratio equation in TextRank. And then during summarizing, we take the ratio of the number of sentences containing any keyword to the total number of candidate sentences as an adaptive factor for AMMR. Meanwhile we reuse the scores of keywords generated by TextRank as a weight factor for sentence similarity computing. Experimental results show that the proposed answer summarization is better than the traditional MMR and AMMR.

  14. Robust Speech Recognition Method Based on Discriminative Environment Feature Extraction

    Institute of Scientific and Technical Information of China (English)

    HAN Jiqing; GAO Wen

    2001-01-01

    It is an effective approach to learn the influence of environmental parameters,such as additive noise and channel distortions, from training data for robust speech recognition.Most of the previous methods are based on maximum likelihood estimation criterion. However,these methods do not lead to a minimum error rate result. In this paper, a novel discrimina-tive learning method of environmental parameters, which is based on Minimum ClassificationError (MCE) criterion, is proposed. In the method, a simple classifier and the Generalized Probabilistic Descent (GPD) algorithm are adopted to iteratively learn the environmental parameters. Consequently, the clean speech features are estimated from the noisy speech features with the estimated environmental parameters, and then the estimations of clean speech features are utilized in the back-end HMM classifier. Experiments show that the best error rate reduction of 32.1% is obtained, tested on a task of 18 isolated confusion Korean words, relative to a conventional HMM system.

  15. Edge-Based Feature Extraction Method and Its Application to Image Retrieval

    Directory of Open Access Journals (Sweden)

    G. Ohashi

    2003-10-01

    Full Text Available We propose a novel feature extraction method for content-bases image retrieval using graphical rough sketches. The proposed method extracts features based on the shape and texture of objects. This edge-based feature extraction method functions by representing the relative positional relationship between edge pixels, and has the advantage of being shift-, scale-, and rotation-invariant. In order to verify its effectiveness, we applied the proposed method to 1,650 images obtained from the Hamamatsu-city Museum of Musical Instruments and 5,500 images obtained from Corel Photo Gallery. The results verified that the proposed method is an effective tool for achieving accurate retrieval.

  16. Biosensor method and system based on feature vector extraction

    Science.gov (United States)

    Greenbaum, Elias [Knoxville, TN; Rodriguez, Jr., Miguel; Qi, Hairong [Knoxville, TN; Wang, Xiaoling [San Jose, CA

    2012-04-17

    A method of biosensor-based detection of toxins comprises the steps of providing at least one time-dependent control signal generated by a biosensor in a gas or liquid medium, and obtaining a time-dependent biosensor signal from the biosensor in the gas or liquid medium to be monitored or analyzed for the presence of one or more toxins selected from chemical, biological or radiological agents. The time-dependent biosensor signal is processed to obtain a plurality of feature vectors using at least one of amplitude statistics and a time-frequency analysis. At least one parameter relating to toxicity of the gas or liquid medium is then determined from the feature vectors based on reference to the control signal.

  17. Evaluation of DNA Extraction Methods Suitable for PCR-based Detection and Genotyping of Clostridium botulinum

    DEFF Research Database (Denmark)

    Auricchio, Bruna; Anniballi, Fabrizio; Fiore, Alfonsina

    2013-01-01

    Sufficient quality and quantity of extracted DNA is critical to detecting and performing genotyping of Clostridium botulinum by means of PCR-based methods. An ideal extraction method has to optimize DNA yield, minimize DNA degradation, allow multiple samples to be extracted, and be efficient...... in terms of cost, time, labor, and supplies. Eleven botulinum toxin–producing clostridia strains and 25 samples (10 food, 13 clinical, and 2 environmental samples) naturally contaminated with botulinum toxin–producing clostridia were used to compare 4 DNA extraction procedures: Chelex® 100 matrix, Phenol......-Cloroform-Isoamyl alcohol, NucliSENS® magnetic extraction kit, and DNeasy® Blood & Tissue kit. Integrity, purity, and amount of amplifiable DNA were evaluated. The results show that the DNeasy® Blood & Tissue kit is the best extraction method evaluated because it provided the most pure, intact, and amplifiable DNA. However...

  18. A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery

    Science.gov (United States)

    Siddiqui, Fasahat Ullah; Teng, Shyh Wei; Awrangjeb, Mohammad; Lu, Guojun

    2016-01-01

    Existing automatic building extraction methods are not effective in extracting buildings which are small in size and have transparent roofs. The application of large area threshold prohibits detection of small buildings and the use of ground points in generating the building mask prevents detection of transparent buildings. In addition, the existing methods use numerous parameters to extract buildings in complex environments, e.g., hilly area and high vegetation. However, the empirical tuning of large number of parameters reduces the robustness of building extraction methods. This paper proposes a novel Gradient-based Building Extraction (GBE) method to address these limitations. The proposed method transforms the Light Detection And Ranging (LiDAR) height information into intensity image without interpolation of point heights and then analyses the gradient information in the image. Generally, building roof planes have a constant height change along the slope of a roof plane whereas trees have a random height change. With such an analysis, buildings of a greater range of sizes with a transparent or opaque roof can be extracted. In addition, a local colour matching approach is introduced as a post-processing stage to eliminate trees. This stage of our proposed method does not require any manual setting and all parameters are set automatically from the data. The other post processing stages including variance, point density and shadow elimination are also applied to verify the extracted buildings, where comparatively fewer empirically set parameters are used. The performance of the proposed GBE method is evaluated on two benchmark data sets by using the object and pixel based metrics (completeness, correctness and quality). Our experimental results show the effectiveness of the proposed method in eliminating trees, extracting buildings of all sizes, and extracting buildings with and without transparent roof. When compared with current state-of-the-art building

  19. A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery

    Directory of Open Access Journals (Sweden)

    Fasahat Ullah Siddiqui

    2016-07-01

    Full Text Available Existing automatic building extraction methods are not effective in extracting buildings which are small in size and have transparent roofs. The application of large area threshold prohibits detection of small buildings and the use of ground points in generating the building mask prevents detection of transparent buildings. In addition, the existing methods use numerous parameters to extract buildings in complex environments, e.g., hilly area and high vegetation. However, the empirical tuning of large number of parameters reduces the robustness of building extraction methods. This paper proposes a novel Gradient-based Building Extraction (GBE method to address these limitations. The proposed method transforms the Light Detection And Ranging (LiDAR height information into intensity image without interpolation of point heights and then analyses the gradient information in the image. Generally, building roof planes have a constant height change along the slope of a roof plane whereas trees have a random height change. With such an analysis, buildings of a greater range of sizes with a transparent or opaque roof can be extracted. In addition, a local colour matching approach is introduced as a post-processing stage to eliminate trees. This stage of our proposed method does not require any manual setting and all parameters are set automatically from the data. The other post processing stages including variance, point density and shadow elimination are also applied to verify the extracted buildings, where comparatively fewer empirically set parameters are used. The performance of the proposed GBE method is evaluated on two benchmark data sets by using the object and pixel based metrics (completeness, correctness and quality. Our experimental results show the effectiveness of the proposed method in eliminating trees, extracting buildings of all sizes, and extracting buildings with and without transparent roof. When compared with current state

  20. A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery.

    Science.gov (United States)

    Siddiqui, Fasahat Ullah; Teng, Shyh Wei; Awrangjeb, Mohammad; Lu, Guojun

    2016-07-19

    Existing automatic building extraction methods are not effective in extracting buildings which are small in size and have transparent roofs. The application of large area threshold prohibits detection of small buildings and the use of ground points in generating the building mask prevents detection of transparent buildings. In addition, the existing methods use numerous parameters to extract buildings in complex environments, e.g., hilly area and high vegetation. However, the empirical tuning of large number of parameters reduces the robustness of building extraction methods. This paper proposes a novel Gradient-based Building Extraction (GBE) method to address these limitations. The proposed method transforms the Light Detection And Ranging (LiDAR) height information into intensity image without interpolation of point heights and then analyses the gradient information in the image. Generally, building roof planes have a constant height change along the slope of a roof plane whereas trees have a random height change. With such an analysis, buildings of a greater range of sizes with a transparent or opaque roof can be extracted. In addition, a local colour matching approach is introduced as a post-processing stage to eliminate trees. This stage of our proposed method does not require any manual setting and all parameters are set automatically from the data. The other post processing stages including variance, point density and shadow elimination are also applied to verify the extracted buildings, where comparatively fewer empirically set parameters are used. The performance of the proposed GBE method is evaluated on two benchmark data sets by using the object and pixel based metrics (completeness, correctness and quality). Our experimental results show the effectiveness of the proposed method in eliminating trees, extracting buildings of all sizes, and extracting buildings with and without transparent roof. When compared with current state-of-the-art building

  1. Novel Method for Color Textures Features Extraction Based on GLCM

    Directory of Open Access Journals (Sweden)

    R. Hudec

    2007-12-01

    Full Text Available Texture is one of most popular features for image classification and retrieval. Forasmuch as grayscale textures provide enough information to solve many tasks, the color information was not utilized. But in the recent years, many researchers have begun to take color information into consideration. In the texture analysis field, many algorithms have been enhanced to process color textures and new ones have been researched. In this paper the new method for color GLCM textures and comparing with other good known methods is presented.

  2. Texture based feature extraction methods for content based medical image retrieval systems.

    Science.gov (United States)

    Ergen, Burhan; Baykara, Muhammet

    2014-01-01

    The developments of content based image retrieval (CBIR) systems used for image archiving are continued and one of the important research topics. Although some studies have been presented general image achieving, proposed CBIR systems for archiving of medical images are not very efficient. In presented study, it is examined the retrieval efficiency rate of spatial methods used for feature extraction for medical image retrieval systems. The investigated algorithms in this study depend on gray level co-occurrence matrix (GLCM), gray level run length matrix (GLRLM), and Gabor wavelet accepted as spatial methods. In the experiments, the database is built including hundreds of medical images such as brain, lung, sinus, and bone. The results obtained in this study shows that queries based on statistics obtained from GLCM are satisfied. However, it is observed that Gabor Wavelet has been the most effective and accurate method.

  3. Background Extraction Method Based on Block Histogram Analysis for Video Image

    Institute of Scientific and Technical Information of China (English)

    Li Hua; Peng Qiang

    2005-01-01

    A novel method of histogram analysis for background extraction in video image is proposed, which is derived from the pixelbased histogram analysis. Not only the statistical property of pixels between temporal frames, but also the correlation of local pixels in a single frame is exploited in this method. When carrying out histogram analysis for background extraction, the proposed method is not based on a single pixel but on a 2×2 block that has much less computational quantities and can extract a sound background image from video sequence simultaneously. A comparative experiment between the proposed method and the pixel-based histogram analysis shows that the proposed method has a faster speed in background extraction and the obtained background image is better in quantity.

  4. A Method of Road Extraction from High-resolution Remote Sensing Images Based on Shape Features

    Directory of Open Access Journals (Sweden)

    LEI Xiaoqi

    2016-02-01

    Full Text Available Road extraction from high-resolution remote sensing image is an important and difficult task.Since remote sensing images include complicated information,the methods that extract roads by spectral,texture and linear features have certain limitations.Also,many methods need human-intervention to get the road seeds(semi-automatic extraction,which have the great human-dependence and low efficiency.The road-extraction method,which uses the image segmentation based on principle of local gray consistency and integration shape features,is proposed in this paper.Firstly,the image is segmented,and then the linear and curve roads are obtained by using several object shape features,so the method that just only extract linear roads are rectified.Secondly,the step of road extraction is carried out based on the region growth,the road seeds are automatic selected and the road network is extracted.Finally,the extracted roads are regulated by combining the edge information.In experiments,the images that including the better gray uniform of road and the worse illuminated of road surface were chosen,and the results prove that the method of this study is promising.

  5. A comparison of protein extraction methods suitable for gel-based proteomic studies of aphid proteins.

    Science.gov (United States)

    Cilia, M; Fish, T; Yang, X; McLaughlin, M; Thannhauser, T W; Gray, S

    2009-09-01

    Protein extraction methods can vary widely in reproducibility and in representation of the total proteome, yet there are limited data comparing protein isolation methods. The methodical comparison of protein isolation methods is the first critical step for proteomic studies. To address this, we compared three methods for isolation, purification, and solubilization of insect proteins. The aphid Schizaphis graminum, an agricultural pest, was the source of insect tissue. Proteins were extracted using TCA in acetone (TCA-acetone), phenol, or multi-detergents in a chaotrope solution. Extracted proteins were solubilized in a multiple chaotrope solution and examined using 1-D and 2-D electrophoresis and compared directly using 2-D Difference Gel Electrophoresis (2-D DIGE). Mass spectrometry was used to identify proteins from each extraction type. We were unable to ascribe the differences in the proteins extracted to particular physical characteristics, cell location, or biological function. The TCA-acetone extraction yielded the greatest amount of protein from aphid tissues. Each extraction method isolated a unique subset of the aphid proteome. The TCA-acetone method was explored further for its quantitative reliability using 2-D DIGE. Principal component analysis showed that little of the variation in the data was a result of technical issues, thus demonstrating that the TCA-acetone extraction is a reliable method for preparing aphid proteins for a quantitative proteomics experiment. These data suggest that although the TCA-acetone method is a suitable method for quantitative aphid proteomics, a combination of extraction approaches is recommended for increasing proteome coverage when using gel-based separation techniques.

  6. Image Prediction Method with Nonlinear Control Lines Derived from Kriging Method with Extracted Feature Points Based on Morphing

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2013-01-01

    Full Text Available Method for image prediction with nonlinear control lines which are derived from extracted feature points from the previously acquired imagery data based on Kriging method and morphing method is proposed. Through comparisons between the proposed method and the conventional linear interpolation and widely used Cubic Spline interpolation methods, it is found that the proposed method is superior to the conventional methods in terms of prediction accuracy.

  7. A Fast Feature Extraction Method Based on Integer Wavelet Transform for Hyperspectral Images

    Institute of Scientific and Technical Information of China (English)

    GUYanfeng; ZHANGYe; YUShanshan

    2004-01-01

    Hyperspectral remote sensing provides high-resolution spectral data and the potential for remote discrimination between subtle differences in ground covers. However, the high-dimensional data space generated by the hyperspectral sensors creates a new challenge for conventional spectral data analysis techniques. A challenging problem in using hyperspectral data is to eliminate redundancy and preserve useful spectral information for applications. In this paper, a Fast feature extraction (FFE) method based on integer wavelet transform is proposed to extract useful features and reduce dimensionality of hyperspectral images. The FFE method can be directly used to extract useful features from spectral vector of each pixel resident in the hyperspectral images. The FFE method has two main merits: high computational efficiency and good ability to extract spectral features. In order to better testify the effectiveness and the performance of the proposed method, classification experiments of hyperspectral images are performed on two groups of AVIRIS (Airborne visible/infrared imaging spectrometer) data respectively. In addition, three existing methods for feature extraction of hyperspectral images, i.e. PCA, SPCT and Wavelet Transform, are performed on the same data for comparison with the proposed method. The experimental investigation shows that the efficiency of the FFE method for feature extraction outclasses those of the other three methods mentioned above.

  8. Intercomparison of Lab-Based Soil Water Extraction Methods for Stable Water Isotope Analysis

    Science.gov (United States)

    Pratt, D.; Orlowski, N.; McDonnell, J.

    2016-12-01

    The effect of pore water extraction technique on resultant isotopic signature is poorly understood. Here we present results of an intercomparison of five common lab-based soil water extraction techniques: high pressure mechanical squeezing, centrifugation, direct vapor equilibration, microwave extraction, and cryogenic extraction. We applied five extraction methods to two physicochemically different standard soil types (silty sand and clayey loam) that were oven-dried and rewetted with water of known isotopic composition at three different gravimetric water contents (8, 20, and 30%). We tested the null hypothisis that all extraction techniques would provide the same isotopic result independent from soil type and water content. Our results showed that the extraction technique had a significant effect on the soil water isotopic composition. Each method exhibited deviations from spiked reference water, with soil type and water content showing a secondary effect. Cryogenic extraction showed the largest deviations from the reference water, whereas mechanical squeezing and centrifugation provided the closest match to the reference water for both soil types. We also compared results for each extraction technique that produced liquid water on both an OA-ICOS and IRMS; differences between them were negligible.

  9. A New Method of Chinese Address Extraction Based on Address Tree Model

    Directory of Open Access Journals (Sweden)

    KANG Mengjun

    2015-01-01

    Full Text Available Address is a spatial location encoding method of individual geographical area. In China, address planning is relatively backward due to the rapid development of the city, resulting in the presence of large number of non-standard address. The space constrain relationship of standard address model is analyzed in this paper and a new method of standard address extraction based on the tree model is proposed, which regards topological relationship as consistent criteria of space constraints. With this method, standard address can be extracted and errors can be excluded from non-standard address. Results indicate that higher math rate can be obtained with this method.

  10. The Sorting Methods of Support Vector Clustering Based on Boundary Extraction and Category Utility

    Directory of Open Access Journals (Sweden)

    Chen Weigao

    2016-01-01

    Full Text Available According to the problems of low accuracy and high computational complexity in the classification of unknown radar signals, a method of unsupervised Support Vector Clustering (SVC based on boundary extraction and Category Utility (CU of unknown radar signals is studied. By analyzing the principle of SVC, only the boundary data of data sets contribute to the support vector extracted. Thus firstly, for reducing the data set, at the same time reducing the computational complexity, the algorithm is designed to extract the boundary data through local normal vector. Then using CU select the optimal parameters. At last distinguish different categories and get the sorting results by Cone Cluster Labelling (CCL and Depth-First Search (DFS. Through comparing the simulation results, the proposed method which is based on boundary extraction and CU is proved to have turned out quite good time effectiveness, which not only improves the accuracy of classification, but also reduces the computational complexity greatly.

  11. A method of building information extraction based on mathematical morphology and multiscale

    Science.gov (United States)

    Li, Jing-wen; Wang, Ke; Zhang, Zi-ping; Xue, Long-li; Yin, Shou-qiang; Zhou, Song

    2015-12-01

    In view of monitoring the changes of buildings on Earth's surface ,by analyzing the distribution characteristics of building in remote sensing image, combined with multi-scale in image segmentation and the advantages of mathematical morphology, this paper proposes a multi-scale combined with mathematical morphology of high resolution remote sensing image segmentation method, and uses the multiple fuzzy classification method and the shadow of auxiliary method to extract information building, With the comparison of k-means classification, and the traditional maximum likelihood classification method, the results of experiment object based on multi-scale combined with mathematical morphology of image segmentation and extraction method, can accurately extract the structure of the information is more clear classification data, provide the basis for the intelligent monitoring of earth data and theoretical support.

  12. A method for extracting urban built-up area based on RS indexes

    Science.gov (United States)

    Qin, Ruijiao; Li, Jiansong; Tang, Huijun

    2016-10-01

    Within administrative regions, urban built-up areas are vast stretches of constructed areas equipped with basic public facilit ies. Human act ivit ies most frequently take place within urban regions and the dynamic evolution of urbanization has caused profound variations in urban spatial structures. Conventional boundary extraction methods are complicated and require human intervention. This article innovatively proposes a vector method that combines a data-dimension compression index known as an Index-based Built -up Index (IBI) with aggregate analysis to extract vector boundaries of urban built-up areas automatically by setting a threshold value and the parameters for aggregate analysis. Datadimension compression technology is used to extract urban built-up areas using thematic bands (rather than original bands) to build indexes, which improves the precision of extraction. Areas ext racted by the methods above contains urban built-up areas, rural built-up areas, independent houses and fully bare areas. Aggregate analysis aggregates a certain range of non-adjacent plots into a new polygon section. This method has made it easy to analyze the spatial expansion of Wuhan city from 2003 to 2013. This method avoids cumbersome process es of outlining vector boundaries by artificial visual interpretation with a better working efficiency and reduced costs than other methods, which cannot accurately determine vector boundaries to an accurate degree by manual vector quantizat ion without depending on other data or expert knowledge. Compared with t raditional boundary extraction methods, this vector method is more efficient, precise, objective, and exquisite.

  13. Comparison of two silica-based extraction methods for DNA isolation from bones.

    Science.gov (United States)

    Rothe, Jessica; Nagy, Marion

    2016-09-01

    One of the most demanding DNA extractions is from bones and teeth due to the robustness of the material and the relatively low DNA content. The greatest challenge is due to the manifold nature of the material, which is defined by various factors, including age, storage, environmental conditions, and contamination with inhibitors. However, most published protocols do not distinguish between different types or qualities of bone material, but are described as being generally applicable. Our laboratory works with two different extraction methods based on silica membranes or the use of silica beads. We compared the amplification success of the two methods from bone samples with different qualities and in the presence of inhibitors. We found that the DNA extraction using the silica membrane method results an in higher DNA yield but also in a higher risk of co-extracting impurities, which can act as inhibitors. In contrast the silica beads method shows decreased co-extraction of inhibitors but also less DNA yield. Related to our own experiences it has to be considered that each bone material should be reviewed independently regarding the analysis and extraction method. Therefore, the most ambitious task is determining the quality of the bone material, which requires substantial experience. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  14. INVESTIGATION OF METHODS OF DNA EXTRACTION FROM PLANT ORIGIN OBJECTS AND FOODS BASED ON THEM

    Directory of Open Access Journals (Sweden)

    L. S. Dyshlyuk

    2014-01-01

    Full Text Available For the last decades modern and highly efficient methods of determining the quality and safety of food products, based on the application of the latest scientific achievements were developed in the world. A special place is given to the methods based on achievements of molecular biology and genetics. At the present stage of development in the field of assessing the quality of raw materials and processed food products much attention is given to highly accurate, sensitive and specific research methods, the method of polymerase chain reaction (PCR occupying a leading place among them. PCR is a sophisticated method that simulates the natural DNA replication and allows to detect a single specific DNA molecule in the presence of millions of other molecules. The key point in the preparation of material for PCR is the extraction of nucleic acids. The low content of DNA in plant material and the high concentration of secondary metabolites complicate the process of extraction. The key solution to this problem is highly effective method of extraction, which allows to obtain the DNA of adequate quality and purity. Comparative analysis of methods for the extraction of nucleic acids from fruit raw materials and products based on them was carried out in the study. General analysis of the experimental data allowed us to determine the most efficient method for DNA extracting. In the comparative analysis it was found out that to extract DNA from plant raw materials and food products prepared on their basis it is the most suitable to use "Sorb-GMO-A" reactants kit (set. The approach described gives us a brilliant opportunity to obtain deoxyribonucleic acid proper quality and purity.

  15. An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor

    Directory of Open Access Journals (Sweden)

    Chao Huang

    2015-01-01

    Full Text Available It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to-noise ratio. In this paper, we analyze the numerical characteristics of the low-frequency magnetic field and propose the algorithms of the fast optimization of blind source separation (FOBSS and the frequency-domain correlation extraction (FDCE. FOBSS is based on blind source separation (BSS. Signal extraction of low SNR can be implemented through FOBSS and FDCE. This signal extraction method is verified in multiple field experiments which can remove the magnetic noise by about 25 dB or more.

  16. Comparison of mobility extraction methods based on field-effect measurements for graphene

    Directory of Open Access Journals (Sweden)

    Hua Zhong

    2015-05-01

    Full Text Available Carrier mobility extraction methods for graphene based on field-effect measurements are explored and compared according to theoretical analysis and experimental results. A group of graphene devices with different channel lengths were fabricated and measured, and carrier mobility is extracted from those electrical transfer curves using three different methods. Accuracy and applicability of those methods were compared. Transfer length method (TLM can obtain accurate density dependent mobility and contact resistance at relative high carrier density based on data from a group of devices, and then can act as a standard method to verify other methods. As two of the most popular methods, direct transconductance method (DTM and fitting method (FTM can extract mobility easily based on transfer curve of a sole graphene device. DTM offers an underestimated mobility at any carrier density owing to the neglect of contact resistances, and the accuracy can be improved through fabricating field-effect transistors with long channel and good contacts. FTM assumes a constant mobility independent on carrier density, and then can obtain mobility, contact resistance and residual density stimulations through fitting a transfer curve. However, FTM tends to obtain a mobility value near Dirac point and then overestimates carrier mobility of graphene. Comparing with the DTM and FTM, TLM could offer a much more accurate and carrier density dependent mobility, that reflects the complete properties of graphene carrier mobility.

  17. A Method of SAR Target Recognition Based on Gabor Filter and Local Texture Feature Extraction

    Directory of Open Access Journals (Sweden)

    Wang Lu

    2015-12-01

    Full Text Available This paper presents a novel texture feature extraction method based on a Gabor filter and Three-Patch Local Binary Patterns (TPLBP for Synthetic Aperture Rader (SAR target recognition. First, SAR images are processed by a Gabor filter in different directions to enhance the significant features of the targets and their shadows. Then, the effective local texture features based on the Gabor filtered images are extracted by TPLBP. This not only overcomes the shortcoming of Local Binary Patterns (LBP, which cannot describe texture features for large scale neighborhoods, but also maintains the rotation invariant characteristic which alleviates the impact of the direction variations of SAR targets on recognition performance. Finally, we use an Extreme Learning Machine (ELM classifier and extract the texture features. The experimental results of MSTAR database demonstrate the effectiveness of the proposed method.

  18. [Identification of special quality eggs with NIR spectroscopy technology based on symbol entropy feature extraction method].

    Science.gov (United States)

    Zhao, Yong; Hong, Wen-Xue

    2011-11-01

    Fast, nondestructive and accurate identification of special quality eggs is an urgent problem. The present paper proposed a new feature extraction method based on symbol entropy to identify near infrared spectroscopy of special quality eggs. The authors selected normal eggs, free range eggs, selenium-enriched eggs and zinc-enriched eggs as research objects and measured the near-infrared diffuse reflectance spectra in the range of 12 000-4 000 cm(-1). Raw spectra were symbolically represented with aggregation approximation algorithm and symbolic entropy was extracted as feature vector. An error-correcting output codes multiclass support vector machine classifier was designed to identify the spectrum. Symbolic entropy feature is robust when parameter changed and the highest recognition rate reaches up to 100%. The results show that the identification method of special quality eggs using near-infrared is feasible and the symbol entropy can be used as a new feature extraction method of near-infrared spectra.

  19. An Efficient Method for Automatic Road Extraction Based on Multiple Features from LiDAR Data

    Science.gov (United States)

    Li, Y.; Hu, X.; Guan, H.; Liu, P.

    2016-06-01

    The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and smaller shadows. The elevation information and surface roughness are distinguishing features to separate roads. However, LiDAR data has some disadvantages are not beneficial to object extraction, such as the irregular distribution of point clouds and lack of clear edges of roads. For these problems, this paper proposes an automatic road centerlines extraction method which has three major steps: (1) road center point detection based on multiple feature spatial clustering for separating road points from ground points, (2) local principal component analysis with least squares fitting for extracting the primitives of road centerlines, and (3) hierarchical grouping for connecting primitives into complete roads network. Compared with MTH (consist of Mean shift algorithm, Tensor voting, and Hough transform) proposed in our previous article, this method greatly reduced the computational cost. To evaluate the proposed method, the Vaihingen data set, a benchmark testing data provided by ISPRS for "Urban Classification and 3D Building Reconstruction" project, was selected. The experimental results show that our method achieve the same performance by less time in road extraction using LiDAR data.

  20. NEW METHOD FOR WEAK FAULT FEATURE EXTRACTION BASED ON SECOND GENERATION WAVELET TRANSFORM AND ITS APPLICATION

    Institute of Scientific and Technical Information of China (English)

    Duan Chendong; He Zhengjia; Jiang Hongkai

    2004-01-01

    A new time-domain analysis method that uses second generation wavelet transform (SGWT) for weak fault feature extraction is proposed. To extract incipient fault feature, a biorthogonal wavelet with the characteristics of impact is constructed by using SGWT. Processing detail signal of SGWT with a sliding window devised on the basis of rotating operation cycle, and extracting modulus maximum from each window, fault features in time-domain are highlighted. To make further analysis on the reason of the fault, wavelet package transform based on SGWT is used to process vibration data again. Calculating the energy of each frequency-band, the energy distribution features of the signal are attained. Then taking account of the fault features and the energy distribution, the reason of the fault is worked out. An early impact-rub fault caused by axis misalignment and rotor imbalance is successfully detected by using this method in an oil refinery.

  1. Method of infusion extraction

    Science.gov (United States)

    Chang-Diaz, Franklin R. (Inventor)

    1989-01-01

    Apparatus and method of removing desirable constituents from an infusible material by infusion extraction, where a piston operating in a first chamber draws a solvent into the first chamber where it may be heated, and then moves the heated solvent into a second chamber containing the infusible material, and where infusion extraction takes place. The piston then moves the solvent containing the extract through a filter into the first chamber, leaving the extraction residue in the second chamber.

  2. A magnetic nanoparticles-based method for DNA extraction from the saliva of stroke patients

    Institute of Scientific and Technical Information of China (English)

    Li Yi; Ying Huang; Ting Wu; Jun Wu

    2013-01-01

    C677T polymorphism in the methylenetetrahydrofolate reductase (MTHFR) gene is a risk factor for stroke, suggesting that widespread detection could help to prevent stroke. DNA from 70 stroke pa-tients and 70 healthy controls was extracted from saliva using a magnetic nanoparticles-based method and from blood using conventional methods. Real-time PCR results revealed that the C677T polymorphism was genotyped by PCR using DNA extracted from both saliva and blood samples. The genotype results were confirmed by gene sequencing, and results for saliva and blood samples were consistent. The mutation TT genotype frequency was significantly higher in the stroke group than in controls. Homocysteine levels were significantly higher than controls in both TT genotype groups. Therefore, this noninvasive magnetic nanoparticles-based method using saliva samples could be used to screen for the MTHFR C677T polymorphism in target populations.

  3. A HOS-based Blind Signal Extraction Method for Chaotic MIMO Systems

    Institute of Scientific and Technical Information of China (English)

    GONG Yun-rui; HE Di; HE Chen; JIANG Ling-ge

    2008-01-01

    A novel method to extract multiple input and multiple output (MIMO) chaotic signals was pro-posed using the blind neural algorithm after transmitting in nonideal channel. The MIMO scheme with different chaotic signal generators was presented. In order to separate the chaotic source signals only by using the sensor signals at receivers, a blind neural extraction algorithm based on higher-order statistic (HOS) technique was used to recover the primary chaotic signals. Simulation results show that the proposed approach has good performance in separating the primary chaotic signals even under nonideal channel.

  4. An Extended Keyword Extraction Method

    Science.gov (United States)

    Hong, Bao; Zhen, Deng

    Among numerous Chinese keyword extraction methods, Chinese characteristics were shortly considered. This phenomenon going against the precision enhancement of the Chinese keyword extraction. An extended term frequency based method(Extended TF) is proposed in this paper which combined Chinese linguistic characteristics with basic TF method. Unary, binary and ternary grammars for the candidate keyword extraction as well as other linguistic features were all taken into account. The method establishes classification model using support vector machine. Tests show that the proposed extraction method improved key words precision and recall rate significantly. We applied the key words extracted by the extended TF method into the text file classification. Results show that the key words extracted by the proposed method contributed greatly to raising the precision of text file classification.

  5. Image quality assessment method based on nonlinear feature extraction in kernel space

    Institute of Scientific and Technical Information of China (English)

    Yong DING‡; Nan LI; Yang ZHAO; Kai HUANG

    2016-01-01

    To match human perception, extracting perceptual features effectively plays an important role in image quality assessment. In contrast to most existing methods that use linear transformations or models to represent images, we employ a complex mathematical expression of high dimensionality to reveal the statistical characteristics of the images. Furthermore, by introducing kernel methods to transform the linear problem into a nonlinear one, a full-reference image quality assessment method is proposed based on high-dimensional nonlinear feature extraction. Experiments on the LIVE, TID2008, and CSIQ databases demonstrate that nonlinear features offer competitive performance for image inherent quality representation and the proposed method achieves a promising performance that is consistent with human subjective evaluation.

  6. DSA Image Blood Vessel Skeleton Extraction Based on Anti-concentration Diffusion and Level Set Method

    Science.gov (United States)

    Xu, Jing; Wu, Jian; Feng, Daming; Cui, Zhiming

    Serious types of vascular diseases such as carotid stenosis, aneurysm and vascular malformation may lead to brain stroke, which are the third leading cause of death and the number one cause of disability. In the clinical practice of diagnosis and treatment of cerebral vascular diseases, how to do effective detection and description of the vascular structure of two-dimensional angiography sequence image that is blood vessel skeleton extraction has been a difficult study for a long time. This paper mainly discussed two-dimensional image of blood vessel skeleton extraction based on the level set method, first do the preprocessing to the DSA image, namely uses anti-concentration diffusion model for the effective enhancement and uses improved Otsu local threshold segmentation technology based on regional division for the image binarization, then vascular skeleton extraction based on GMM (Group marching method) with fast sweeping theory was actualized. Experiments show that our approach not only improved the time complexity, but also make a good extraction results.

  7. [Method for Extracting Vascular Perfusion Region Based on Ultrasound Contrast Agent].

    Science.gov (United States)

    Shan, Xin; Wen, Yingang; Lin, Tao; Zhu, Xinjian

    2015-10-01

    Vascular perfusion distribution in fibroids contrast-enhanced ultrasound images provides useful pathological and physiological information, because the extraction of the vascular perfusion area can be helpful to quantitative evaluation of uterine fibroids blood supply. The pixel gray scale in vascular perfusion area of fibroids contrast-enhanced ultrasound image sequences is different from that in other regions, and, based on this, we proposed a method of extracting vascular perfusion area of fibroids. Firstly, we denoised the image sequence, and then we used Brox optical flow method to estimate motion of two adjacent frames, based on the results of the displacement field for motion correction. Finally, we extracted vascular perfusion region from the surrounding background based on the differences in gray scale for the magnitude of the rich blood supply area and lack of blood supply area in ultrasound images sequence. The experimental results showed that the algorithm could accurately extract the vascular perfusion area, reach the precision of identification of clinical perfusion area, and only small amount of calculation was needed and the process was fairly simple.

  8. A robust infrared dim target detection method based on template filtering and saliency extraction

    Science.gov (United States)

    Wang, Wenguang; Li, Chenming; Shi, Jianing

    2015-11-01

    Dim target detection in infrared image with complex background and low signal-clutter ratio (SCR) is a significant and difficult task in the infrared target tracking system. A robust infrared dim target detection method based on template filtering and saliency extraction is proposed in this paper. The weighted gray map is obtained from the infrared image to highlight the target which is brighter than its neighbors and has weak correlation with its background. The target saliency map is then calculated by phase spectrum of Fourier Transform, so that the dim target detection could be converted to salient region extraction. The potential targets are finally extracted by combining the two maps. Moreover, position discrimination between targets in the two maps is used to exclude the false alarms and extract the targets. Experimental results on measured images indicate that our method is feasible, adaptable and robust in different backgrounds. The ROC (Receiver Operating Characteristic) curves obtained from the simulated images demonstrate the proposed method outperforms some existing typical methods in both detection rate and false alarm rate, for target detection with low SCR.

  9. An Accurate Integral Method for Vibration Signal Based on Feature Information Extraction

    Directory of Open Access Journals (Sweden)

    Yong Zhu

    2015-01-01

    Full Text Available After summarizing the advantages and disadvantages of current integral methods, a novel vibration signal integral method based on feature information extraction was proposed. This method took full advantage of the self-adaptive filter characteristic and waveform correction feature of ensemble empirical mode decomposition in dealing with nonlinear and nonstationary signals. This research merged the superiorities of kurtosis, mean square error, energy, and singular value decomposition on signal feature extraction. The values of the four indexes aforementioned were combined into a feature vector. Then, the connotative characteristic components in vibration signal were accurately extracted by Euclidean distance search, and the desired integral signals were precisely reconstructed. With this method, the interference problem of invalid signal such as trend item and noise which plague traditional methods is commendably solved. The great cumulative error from the traditional time-domain integral is effectively overcome. Moreover, the large low-frequency error from the traditional frequency-domain integral is successfully avoided. Comparing with the traditional integral methods, this method is outstanding at removing noise and retaining useful feature information and shows higher accuracy and superiority.

  10. Novel Doppler Frequency Extraction Method Based on Time-Frequency Analysis and Morphological Operation

    Institute of Scientific and Technical Information of China (English)

    HOU Shu-juan; WU Si-liang

    2006-01-01

    A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequency extraction becomes curve detection in the image-view. A set of morphological operations are used to implement curve detection. And a map fusion scheme is presented to eliminate the influence of strong direct current (DC) component of echo signal during curve detection. The radar real-life data are used to illustrate the performance of the new approach. Experimental results show that the proposed method can over come the shortcomings of piecewise-processing-based FFT method and can improve the measuring precision of miss distance.

  11. Auditory-model-based Feature Extraction Method for Mechanical Faults Diagnosis

    Institute of Scientific and Technical Information of China (English)

    LI Yungong; ZHANG Jinping; DAI Li; ZHANG Zhanyi; LIU Jie

    2010-01-01

    It is well known that the human auditory system possesses remarkable capabilities to analyze and identify signals. Therefore, it would be significant to build an auditory model based on the mechanism of human auditory systems, which may improve the effects of mechanical signal analysis and enrich the methods of mechanical faults features extraction. However the existing methods are all based on explicit senses of mathematics or physics, and have some shortages on distinguishing different faults, stability, and suppressing the disturbance noise, etc. For the purpose of improving the performances of the work of feature extraction, an auditory model, early auditory(EA) model, is introduced for the first time. This auditory model transforms time domain signal into auditory spectrum via bandpass filtering, nonlinear compressing, and lateral inhibiting by simulating the principle of the human auditory system. The EA model is developed with the Gammatone filterbank as the basilar membrane. According to the characteristics of vibration signals, a method is proposed for determining the parameter of inner hair cells model of EA model. The performance of EA model is evaluated through experiments on four rotor faults, including misalignment, rotor-to-stator rubbing, oil film whirl, and pedestal looseness. The results show that the auditory spectrum, output of EA model, can effectively distinguish different faults with satisfactory stability and has the ability to suppress the disturbance noise. Then, it is feasible to apply auditory model, as a new method, to the feature extraction for mechanical faults diagnosis with effect.

  12. A cluster-based method for marine sensitive object extraction and representation

    Science.gov (United States)

    Xue, Cunjin; Dong, Qing; Qin, Lijuan

    2015-08-01

    Within the context of global change, marine sensitive factors or Marine Essential Climate Variables have been defined by many projects, and their sensitive spatial regions and time phases play significant roles in regional sea-air interactions and better understanding of their dynamic process. In this paper, we propose a cluster-based method for marine sensitive region extraction and representation. This method includes a kernel expansion algorithm for extracting marine sensitive regions, and a field-object triple form, integration of object-oriented and field-based model, for representing marine sensitive objects. Firstly, this method recognizes ENSO-related spatial patterns using empirical orthogonal decomposition of long term marine sensitive factors and correlation analysis with multiple ENSO index. The cluster kernel, defined by statistics of spatial patterns, is initialized to carry out spatial expansion and cluster mergence with spatial neighborhoods recursively, then all the related lattices with similar behavior are merged into marine sensitive regions. After this, the Field-object triple form of is used to represent the marine sensitive objects, both with the discrete object with a precise extend and boundary, and the continuous field with variations dependent on spatial locations. Finally, the marine sensitive objects about sea surface temperature are extracted, represented and analyzed as a case of study, which proves the effectiveness and the efficiency of the proposed method.

  13. Microalgae based biorefinery: evaluation of oil extraction methods in terms of efficiency, costs, toxicity and energy in lab-scale

    Directory of Open Access Journals (Sweden)

    Ángel Darío González-Delgado

    2013-06-01

    Full Text Available Several alternatives of microalgal metabolites extraction and transformation are being studied for achieving the total utilization of this energy crop of great interest worldwide. Microalgae oil extraction is a key stage in microalgal biodiesel production chains and their efficiency affects significantly the global process efficiency. In this study, a comparison of five oil extraction methods in lab-scale was made taking as additional parameters, besides extraction efficiency, the costs of method performing, energy requirements, and toxicity of solvents used, in order to elucidate the convenience of their incorporation to a microalgae-based topology of biorefinery. Methods analyzed were Solvent extraction assisted with high speed homogenization (SHE, Continuous reflux solvent extraction (CSE, Hexane based extraction (HBE, Cyclohexane based extraction (CBE and Ethanol-hexane extraction (EHE, for this evaluation were used the microalgae strains Nannochloropsis sp., Guinardia sp., Closterium sp., Amphiprora sp. and Navicula sp., obtained from a Colombian microalgae bioprospecting. In addition, morphological response of strains to oil extraction methods was also evaluated by optic microscopy. Results shows that although there is not a unique oil extraction method which excels in all parameters evaluated, CSE, SHE and HBE appears as promising alternatives, while HBE method is shown as the more convenient for using in lab-scale and potentially scalable for implementation in a microalgae based biorefinery

  14. A new rolling bearing fault diagnosis method based on GFT impulse component extraction

    Science.gov (United States)

    Ou, Lu; Yu, Dejie; Yang, Hanjian

    2016-12-01

    Periodic impulses are vital indicators of rolling bearing faults. The extraction of impulse components from rolling bearing vibration signals is of great importance for fault diagnosis. In this paper, vibration signals are taken as the path graph signals in a manifold perspective, and the Graph Fourier Transform (GFT) of vibration signals are investigated from the graph spectrum domain, which are both introduced into the vibration signal analysis. To extract the impulse components efficiently, a new adjacency weight matrix is defined, and then the GFT of the impulse component and harmonic component in the rolling bearing vibration signals are analyzed. Furthermore, as the GFT graph spectrum of the impulse component is mainly concentrated in the high-order region, a new rolling bearing fault diagnosis method based on GFT impulse component extraction is proposed. In the proposed method, the GFT of a vibration signal is firstly performed, and its graph spectrum coefficients in the high-order region are extracted to reconstruct different impulse components. Next, the Hilbert envelope spectra of these impulse components are calculated, and the envelope spectrum values at the fault characteristic frequency are arranged in order. Furthermore, the envelope spectrum with the maximum value at the fault characteristic frequency is selected as the final result, from which the rolling bearing fault can be diagnosed. Finally, an index KR, which is the product of the kurtosis and Hilbert envelope spectrum fault feature ratio of the extracted impulse component, is put forward to measure the performance of the proposed method. Simulations and experiments are utilized to demonstrate the feasibility and effectiveness of the proposed method.

  15. A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery

    Science.gov (United States)

    Wang, Huaqing; Chen, Peng

    2009-01-01

    This paper proposes a feature extraction method based on information theory for fault diagnosis of reciprocating machinery. A method to obtain symptom parameter waves is defined in the time domain using the vibration signals, and an information wave is presented based on information theory, using the symptom parameter waves. A new way to determine the difference spectrum of envelope information waves is also derived, by which the feature spectrum can be extracted clearly and machine faults can be effectively differentiated. This paper also compares the proposed method with the conventional Hilbert-transform-based envelope detection and with a wavelet analysis technique. Practical examples of diagnosis for a rolling element bearing used in a diesel engine are provided to verify the effectiveness of the proposed method. The verification results show that the bearing faults that typically occur in rolling element bearings, such as outer-race, inner-race, and roller defects, can be effectively identified by the proposed method, while these bearing faults are difficult to detect using either of the other techniques it was compared to. PMID:22574021

  16. A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery

    Directory of Open Access Journals (Sweden)

    Huaqing Wang

    2009-04-01

    Full Text Available This paper proposes a feature extraction method based on information theory for fault diagnosis of reciprocating machinery. A method to obtain symptom parameter waves is defined in the time domain using the vibration signals, and an information wave is presented based on information theory, using the symptom parameter waves. A new way to determine the difference spectrum of envelope information waves is also derived, by which the feature spectrum can be extracted clearly and machine faults can be effectively differentiated. This paper also compares the proposed method with the conventional Hilbert-transform-based envelope detection and with a wavelet analysis technique. Practical examples of diagnosis for a rolling element bearing used in a diesel engine are provided to verify the effectiveness of the proposed method. The verification results show that the bearing faults that typically occur in rolling element bearings, such as outer-race, inner-race, and roller defects, can be effectively identified by the proposed method, while these bearing faults are difficult to detect using either of the other techniques it was compared to.

  17. Micro-motion Signature Extraction Method for Wideband Radar Based on Complex Image OMP Decomposition

    Directory of Open Access Journals (Sweden)

    Luo Ying

    2012-12-01

    Full Text Available In order to extract the micro-motion signatures in condition of Migration Through Range Cells (MTRC of micro-motional scatterers and azimuthal undersampling in wideband radar, a method based on the Orthogonal Matching Pursuit (OMP decomposition of the complex image is proposed. By making use of the amplitude and phase information of “range-slow-time image”, a set of micro-Doppler signal atoms is constructed in the complex image space. The OMP algorithm in vector space is then extend to the complex image space to obtain the micro-motion parameters. Simulations demonstrate the proposed method can extract the micro-motion signatures when MTRC of micro-motional scatterers is occurred, and can also work well when the sampling rate is lower than the Nyquist sampling rate.

  18. An efficient method of key-frame extraction based on a cluster algorithm.

    Science.gov (United States)

    Zhang, Qiang; Yu, Shao-Pei; Zhou, Dong-Sheng; Wei, Xiao-Peng

    2013-12-18

    This paper proposes a novel method of key-frame extraction for use with motion capture data. This method is based on an unsupervised cluster algorithm. First, the motion sequence is clustered into two classes by the similarity distance of the adjacent frames so that the thresholds needed in the next step can be determined adaptively. Second, a dynamic cluster algorithm called ISODATA is used to cluster all the frames and the frames nearest to the center of each class are automatically extracted as key-frames of the sequence. Unlike many other clustering techniques, the present improved cluster algorithm can automatically address different motion types without any need for specified parameters from users. The proposed method is capable of summarizing motion capture data reliably and efficiently. The present work also provides a meaningful comparison between the results of the proposed key-frame extraction technique and other previous methods. These results are evaluated in terms of metrics that measure reconstructed motion and the mean absolute error value, which are derived from the reconstructed data and the original data.

  19. A NOVEL WRAPPING CURVELET TRANSFORMATION BASED ANGULAR TEXTURE PATTERN (WCTATP EXTRACTION METHOD FOR WEED IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    D. Ashok Kumar

    2016-02-01

    Full Text Available Apparently weed is a major menace in crop production as it competes with crop for nutrients, moisture, space and light which resulting in poor growth and development of the crop and finally yield. Yield loss accounts for even more than 70% when crops are frown under unweeded condition with severe weed infestation. Weed management is the most significant process in the agricultural applications to improve the crop productivity rate and reduce the herbicide application cost. Existing weed detection techniques does not yield better performance due to the complex background, illumination variation and crop and weed overlapping in the agricultural field image. Hence, there arises a need for the development of effective weed identification technique. To overcome this drawback, this paper proposes a novel Wrapping Curvelet Transformation Based Angular Texture Pattern Extraction Method (WCTATP for weed identification. In our proposed work, Global Histogram Equalization (GHE is used improve the quality of the image and Adaptive Median Filter (AMF is used for filtering the impulse noise from the image. Plant image identification is performed using green pixel extraction and k-means clustering. Wrapping Curvelet transform is applied to the plant image. Feature extraction is performed to extract the angular texture pattern of the plant image. Particle Swarm Optimization (PSO based Differential Evolution Feature Selection (DEFS approach is applied to select the optimal features. Then, the selected features are learned and passed through an RVM based classifier to find out the weed. Edge detection and contouring is performed to identify the weed in the plant image. The Fuzzy rule-based approach is applied to detect the low, medium and high levels of the weed patchiness. From the experimental results, it is clearly observed that the accuracy of the proposed approach is higher than the existing Support Vector Machine (SVM based approaches. The proposed approach

  20. Painful Bile Extraction Methods

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    It was only in the past 20 years that countries in Asia began to search for an alternative to protect moon bears from being killed for their bile and other body parts. In the early 1980s, a new method of extracting bile from living bears was developed in North Korea. In 1983, Chinese scientists imported this technique from North Korea. According to the Animals Asia Foundation, the most original method of bile extraction is to embed a latex catheter, a narrow rubber

  1. An Efficient Feature Extraction Method Based on Entropy for Power Quality Disturbance

    Directory of Open Access Journals (Sweden)

    P. Kailasapathi

    2014-09-01

    Full Text Available This study explores the applicability of entropy defined as thermodynamic state variable introduced by German Physicists Rudolf clausius and also presents the concepts and application of said state variable as a measure of system disorganization. Later an entropy-based feature Analysis method for power quality disturbance analysis has been proposed. Feature extraction of a disturbed power signal provides information that helps to detect the responsible fault for power quality disturbance. A precise and faster feature extraction tool helps power engineers to monitor and maintain power disturbances more efficiently. Firstly, the decomposition coefficients are obtained by applying 10-level wavelet multi resolution analysis to the signals (normal, sag, swell, outage, harmonic and sag with harmonic and swell with harmonic generated by using the parametric equations. Secondly, a combined feature vector is obtained from standard deviation of these features after distinctive features for each signal are extracted by applying the energy, the Shannon entropy and the log-energy entropy methods to decomposition coefficients. Finally the entropy methods detect the different types of power quality disturbance.

  2. A New Keyphrases Extraction Method Based on Suffix Tree Data Structure for Arabic Documents Clustering

    Directory of Open Access Journals (Sweden)

    Issam SAHMOUDI

    2013-12-01

    Full Text Available Document Clustering is a branch of a larger area of scientific study kn own as data mining .which is an unsupervised classification using to find a structu re in a collection of unlabeled data. The useful information in the documents can be accompanied b y a large amount of noise words when using Full Tex t Representation, and therefore will affect negativel y the result of the clustering process. So it is w ith great need to eliminate the noise words and keeping just the useful information in order to enhance the qual ity of the clustering results. This problem occurs with di fferent degree for any language such as English, European, Hindi, Chinese, and Arabic Language. To o vercome this problem, in this paper, we propose a new and efficient Keyphrases extraction method base d on the Suffix Tree data structure (KpST, the extracted Keyphrases are then used in the clusterin g process instead of Full Text Representation. The proposed method for Keyphrases extraction is langua ge independent and therefore it may be applied to a ny language. In this investigation, we are interested to deal with the Arabic language which is one of th e most complex languages. To evaluate our method, we condu ct an experimental study on Arabic Documents using the most popular Clustering approach of Hiera rchical algorithms: Agglomerative Hierarchical algorithm with seven linkage techniques and a varie ty of distance functions and similarity measures to perform Arabic Document Clustering task. The obtain ed results show that our method for extracting Keyphrases increases the quality of the clustering results. We propose also to study the effect of using the stemming for the testing dataset to cluster it with the same documents clustering techniques and similarity/distance measures.

  3. Fault Feature Extraction of Rolling Bearing Based on an Improved Cyclical Spectrum Density Method

    Institute of Scientific and Technical Information of China (English)

    LI Min; YANG Jianhong; WANG Xiaojing

    2015-01-01

    The traditional cyclical spectrum density(CSD) method is widely used to analyze the fault signals of rolling bearing. All modulation frequencies are demodulated in the cyclic frequency spectrum. Consequently, recognizing bearing fault type is difficult. Therefore, a new CSD method based on kurtosis(CSDK) is proposed. The kurtosis value of each cyclic frequency is used to measure the modulation capability of cyclic frequency. When the kurtosis value is large, the modulation capability is strong. Thus, the kurtosis value is regarded as the weight coefficient to accumulate all cyclic frequencies to extract fault features. Compared with the traditional method, CSDK can reduce the interference of harmonic frequency in fault frequency, which makes fault characteristics distinct from background noise. To validate the effectiveness of the method,experiments are performed on the simulation signal, the fault signal of the bearing outer race in the test bed, and the signal gathered from the bearing of the blast furnace belt cylinder. Experimental results show that the CSDK is better than the resonance demodulation method and the CSD in extracting fault features and recognizing degradation trends. The proposed method provides a new solution to fault diagnosis in bearings.

  4. Quality and characteristics of fermented ginseng seed oil based on bacterial strain and extraction method.

    Science.gov (United States)

    Lee, Myung-Hee; Rhee, Young-Kyoung; Choi, Sang-Yoon; Cho, Chang-Won; Hong, Hee-Do; Kim, Kyung-Tack

    2017-07-01

    In this study, the fermentation of ginseng seeds was hypothesized to produce useful physiologically-active substances, similar to that observed for fermented ginseng root. Ginseng seed was fermented using Bacillus, Pediococcus, and Lactobacillus strains to extract ginseng seed oil, and the extraction yield, color, and quantity of phenolic compounds, fatty acids, and phytosterol were then analyzed. The ginseng seed was fermented inoculating 1% of each strain on sterilized ginseng seeds and incubating the seeds at 30°C for 24 h. Oil was extracted from the fermented ginseng seeds using compression extraction, solvent extraction, and supercritical fluid extraction. The color of the fermented ginseng seed oil did not differ greatly according to the fermentation or extraction method. The highest phenolic compound content recovered with the use of supercritical fluid extraction combined with fermentation using the Bacillus subtilis Korea Food Research Institute (KFRI) 1127 strain. The fatty acid composition did not differ greatly according to fermentation strain and extraction method. The phytosterol content of ginseng seed oil fermented with Bacillus subtilis KFRI 1127 and extracted using the supercritical fluid method was highest at 983.58 mg/100 g. Therefore, our results suggested that the ginseng seed oil fermented with Bacillus subtilis KFRI 1127 and extracted using the supercritical fluid method can yield a higher content of bioactive ingredients, such as phenolics, and phytosterols, without impacting the color or fatty acid composition of the product.

  5. A new green chemistry method based on plant extracts to synthesize gold nanoparticles

    Science.gov (United States)

    Montes Castillo, Milka Odemariz

    Extraordinary chemical and physical properties exhibited by nanomaterials, as compared to their bulk counterparts, have made the area of nanotechnology a growing realm in the past three decades. It is the nanoscale size (from 1 to 100 nm) and the morphologies of nanomaterials that provide several properties and applications not possible for the same material in the bulk. Magnetic and optical properties, as well as surface reactivity are highly dependent on the size and morphology of the nanomaterial. Diverse nanomaterials are being widely used in molecular diagnostics as well as in medicine, electronic and optical devices. Among the most studied nanomaterials, gold nanoparticles are of special interest due to their multifunctional capabilities. For instance, spherical gold nanoparticles measuring 15-20 nm in diameter have been studied due to their insulin binding properties. Also, thiol functionalized gold nanoparticles between 5 and 30 nm are used in the detection of DNA. Thus, harnessing the shape and size of gold nanoparticles plays an important role in science and technology. The synthesis of gold nanoparticles via the reduction of gold salts, using citrate or other reducing agents, has been widely studied. In recent years, algae, fungi, bacteria, and living plants have been used to reduce trivalent gold (Au3+) to its zero oxidation state (Au 0) forming gold nanoparticles of different sizes and shapes. In addition, plant biomasses have also been studied for their gold-reducing power and nanoparticle formation. Although there is information about the synthesis of the gold nanoparticles by biologically based materials; to our knowledge, the study of the use of alfalfa extracts has not been reported. This innovation represents a significant improvement; that is an environmentally friendly method that does not use toxic chemicals. Also, the problem of extracting the formed gold nanoparticles from biomaterials is addressed in this research but still remains to be

  6. Extraction and purification methods in downstream processing of plant-based recombinant proteins.

    Science.gov (United States)

    Łojewska, Ewelina; Kowalczyk, Tomasz; Olejniczak, Szymon; Sakowicz, Tomasz

    2016-04-01

    During the last two decades, the production of recombinant proteins in plant systems has been receiving increased attention. Currently, proteins are considered as the most important biopharmaceuticals. However, high costs and problems with scaling up the purification and isolation processes make the production of plant-based recombinant proteins a challenging task. This paper presents a summary of the information regarding the downstream processing in plant systems and provides a comprehensible overview of its key steps, such as extraction and purification. To highlight the recent progress, mainly new developments in the downstream technology have been chosen. Furthermore, besides most popular techniques, alternative methods have been described.

  7. A new Color Feature Extraction method Based on Dynamic Color Distribution Entropy of Neighbourhoods

    Directory of Open Access Journals (Sweden)

    Fatemeh Alamdar

    2011-09-01

    Full Text Available One of the important requirements in image retrieval, indexing, classification, clustering and etc. is extracting efficient features from images. The color feature is one of the most widely used visual features. Use of color histogram is the most common way for representing color feature. One of disadvantage of the color histogram is that it does not take the color spatial distribution into consideration. In this paper dynamic color distribution entropy of neighborhoods method based on color distribution entropy is presented, which effectively describes the spatial information of colors. The image retrieval results in compare to improved color distribution entropy show the acceptable efficiency of this approach.

  8. Statistical mechanics-based method to extract atomic distance-dependent potentials from protein structures.

    Science.gov (United States)

    Huang, Sheng-You; Zou, Xiaoqin

    2011-09-01

    In this study, we have developed a statistical mechanics-based iterative method to extract statistical atomic interaction potentials from known, nonredundant protein structures. Our method circumvents the long-standing reference state problem in deriving traditional knowledge-based scoring functions, by using rapid iterations through a physical, global convergence function. The rapid convergence of this physics-based method, unlike other parameter optimization methods, warrants the feasibility of deriving distance-dependent, all-atom statistical potentials to keep the scoring accuracy. The derived potentials, referred to as ITScore/Pro, have been validated using three diverse benchmarks: the high-resolution decoy set, the AMBER benchmark decoy set, and the CASP8 decoy set. Significant improvement in performance has been achieved. Finally, comparisons between the potentials of our model and potentials of a knowledge-based scoring function with a randomized reference state have revealed the reason for the better performance of our scoring function, which could provide useful insight into the development of other physical scoring functions. The potentials developed in this study are generally applicable for structural selection in protein structure prediction.

  9. Quality and characteristics of fermented ginseng seed oil based on bacterial strain and extraction method

    Directory of Open Access Journals (Sweden)

    Myung-Hee Lee

    2017-07-01

    Results and Conclusion: The color of the fermented ginseng seed oil did not differ greatly according to the fermentation or extraction method. The highest phenolic compound content recovered with the use of supercritical fluid extraction combined with fermentation using the Bacillus subtilis Korea Food Research Institute (KFRI 1127 strain. The fatty acid composition did not differ greatly according to fermentation strain and extraction method. The phytosterol content of ginseng seed oil fermented with Bacillus subtilis KFRI 1127 and extracted using the supercritical fluid method was highest at 983.58 mg/100 g. Therefore, our results suggested that the ginseng seed oil fermented with Bacillus subtilis KFRI 1127 and extracted using the supercritical fluid method can yield a higher content of bioactive ingredients, such as phenolics, and phytosterols, without impacting the color or fatty acid composition of the product.

  10. A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI

    Directory of Open Access Journals (Sweden)

    Mingfeng Zhu

    2014-01-01

    Full Text Available Tongue image with coating is of important clinical diagnostic meaning, but traditional tongue image extraction method is not competent for extraction of tongue image with thick coating. In this paper, a novel method is suggested, which applies multiobjective greedy rules and makes fusion of color and space information in order to extract tongue image accurately. A comparative study of several contemporary tongue image extraction methods is also made from the aspects of accuracy and efficiency. As the experimental results show, geodesic active contour is quite slow and not accurate, the other 3 methods achieve fairly good segmentation results except in the case of the tongue with thick coating, our method achieves ideal segmentation results whatever types of tongue images are, and efficiency of our method is acceptable for the application of quantitative check of tongue image.

  11. A Color-Texture Based Segmentation Method To Extract Object From Background

    Directory of Open Access Journals (Sweden)

    Saka Kezia

    2013-03-01

    Full Text Available Extraction of flower regions from complex background is a difficult task, it is an important part of flower image retrieval, and recognition .Image segmentation denotes a process of partitioning an image into distinct regions. A large variety of different segmentation approaches for images have been developed. Image segmentation plays an important role in image analysis. According to several authors, segmentation terminates when the observer’s goal is satisfied. For this reason, a unique method that can be applied to all possible cases does not yet exist. This paper studies the flower image segmentation in complex background. Based on the visual characteristics differences of the flower and the surrounding objects, the flower from different backgrounds are separated into a single set of flower image pixels. The segmentation methodology on flower images consists of five steps. Firstly, the original image of RGB space is transformed into Lab color space. In the second step ‘a’ component of Lab color space is extracted. Then segmentation by two-dimension OTSU of automatic threshold in ‘a-channel’ is performed. Based on the color segmentation result, and the texture differences between the background image and the required object, we extract the object by the gray level co-occurrence matrix for texture segmentation. The GLCMs essentially represent the joint probability of occurrence of grey-levels for pixels with a given spatial relationship in a defined region. Finally, the segmentation result is corrected by mathematical morphology methods. The algorithm was tested on plague image database and the results prove to be satisfactory. The algorithm was also tested on medical images for nucleus segmentation.

  12. Insect lipid profile: aqueous versus organic solvent-based extraction methods

    NARCIS (Netherlands)

    Tzompa Sosa, D.A.; Yi, L.; Valenberg, van H.J.F.; Boekel, van M.A.J.S.; Lakemond, C.M.M.

    2014-01-01

    In view of future expected industrial bio-fractionation of insects, we investigated the influence of extraction methods on chemical characteristics of insect lipids. Lipids from Tenebrio molitor, Alphitobius diaperinus, Acheta domesticus and Blaptica dubia, reared in the Netherlands, were extracted

  13. HARMONIC COMPONENT EXTRACTION FROM A CHAOTIC SIGNAL BASED ON EMPIRICAL MODE DECOMPOSITION METHOD

    Institute of Scientific and Technical Information of China (English)

    LI Hong-guang; MENG Guang

    2006-01-01

    A novel approach of signal extraction of a harmonic component from a chaotic signal generated by a Duffing oscillator was proposed. Based on empirical mode decomposition (EMD) and concept that any signal is composed of a series of the simple intrinsic modes, the harmonic components were extracted from the chaotic signals. Simulation results show the approach is satisfactory.

  14. A Semi-automatic Method Based on Statistic for Mandarin Semantic Structures Extraction in Specific Domains

    Institute of Scientific and Technical Information of China (English)

    熊英; 朱杰; 孙静

    2004-01-01

    This paper proposed a new method of semi-automatic extraction for semantic structures from unlabelled corpora in specific domains. The approach is statistical in nature. The extracted structures can be used for shallow parsing and semantic labeling. By iteratively extracting new words and clustering words, we get an inital semantic lexicon that groups words of the same semantic meaning together as a class. After that, a bootstrapping algorithm is adopted to extract semantic structures. Then the semantic structures are used to extract new key words and augment the semantic lexicon. The resultant semantic structures are interpreted by persons and are amenable to hand-editing for refinement. In this experiment, the semi-automatically extracted structures SSA provide recall rate of 84.5%.

  15. Plant Growth Biostimulants Based on Different Methods of Seaweed Extraction with Water

    Directory of Open Access Journals (Sweden)

    Katarzyna Godlewska

    2016-01-01

    Full Text Available We explored two methods for obtaining aqueous extracts: boiling and soaking of Baltic seaweeds (EB and ES, resp.. Algal extracts were characterized in terms of polyphenols, micro- and macroelements, lipids content, and antibacterial properties. The utilitarian properties were examined in the germination tests on Lepidium sativum for three extract dilutions (0.5, 2.5, and 10%. It was found that the extracts were similar in micro- and macroelement concentrations. Water was proved to be a good solvent to extract phenolic compounds. The algal extract produced by soaking biomass did not show inhibitory effect on Escherichia coli and Staphylococcus aureus. Only the boiled extract had an inhibitory activity against E. coli. Germination tests revealed a positive influence of the bioproducts on the cultivated plants. In the group treated with 10% EB, plants were 13% longer than in the control group; the content of elements B, Mo, Zn, and Na in the group treated with 10% ES was higher by 76%, 48%, 31%, and 59% than in the control group, respectively; the content of chlorophyll was 2.5 times higher in 0.5% ES than in the control group. Extracts showed the slight impact on the morphology of plants.

  16. Plant Growth Biostimulants Based on Different Methods of Seaweed Extraction with Water

    Science.gov (United States)

    Godlewska, Katarzyna; Tuhy, Łukasz; Chojnacka, Katarzyna

    2016-01-01

    We explored two methods for obtaining aqueous extracts: boiling and soaking of Baltic seaweeds (EB and ES, resp.). Algal extracts were characterized in terms of polyphenols, micro- and macroelements, lipids content, and antibacterial properties. The utilitarian properties were examined in the germination tests on Lepidium sativum for three extract dilutions (0.5, 2.5, and 10%). It was found that the extracts were similar in micro- and macroelement concentrations. Water was proved to be a good solvent to extract phenolic compounds. The algal extract produced by soaking biomass did not show inhibitory effect on Escherichia coli and Staphylococcus aureus. Only the boiled extract had an inhibitory activity against E. coli. Germination tests revealed a positive influence of the bioproducts on the cultivated plants. In the group treated with 10% EB, plants were 13% longer than in the control group; the content of elements B, Mo, Zn, and Na in the group treated with 10% ES was higher by 76%, 48%, 31%, and 59% than in the control group, respectively; the content of chlorophyll was 2.5 times higher in 0.5% ES than in the control group. Extracts showed the slight impact on the morphology of plants. PMID:27366749

  17. Plant Growth Biostimulants Based on Different Methods of Seaweed Extraction with Water.

    Science.gov (United States)

    Godlewska, Katarzyna; Michalak, Izabela; Tuhy, Łukasz; Chojnacka, Katarzyna

    2016-01-01

    We explored two methods for obtaining aqueous extracts: boiling and soaking of Baltic seaweeds (EB and ES, resp.). Algal extracts were characterized in terms of polyphenols, micro- and macroelements, lipids content, and antibacterial properties. The utilitarian properties were examined in the germination tests on Lepidium sativum for three extract dilutions (0.5, 2.5, and 10%). It was found that the extracts were similar in micro- and macroelement concentrations. Water was proved to be a good solvent to extract phenolic compounds. The algal extract produced by soaking biomass did not show inhibitory effect on Escherichia coli and Staphylococcus aureus. Only the boiled extract had an inhibitory activity against E. coli. Germination tests revealed a positive influence of the bioproducts on the cultivated plants. In the group treated with 10% EB, plants were 13% longer than in the control group; the content of elements B, Mo, Zn, and Na in the group treated with 10% ES was higher by 76%, 48%, 31%, and 59% than in the control group, respectively; the content of chlorophyll was 2.5 times higher in 0.5% ES than in the control group. Extracts showed the slight impact on the morphology of plants.

  18. A Fault Feature Extraction Method for Rolling Bearing Based on Pulse Adaptive Time-Frequency Transform

    Directory of Open Access Journals (Sweden)

    Jinbao Yao

    2016-01-01

    Full Text Available Shock pulse method is a widely used technique for condition monitoring of rolling bearing. However, it may cause erroneous diagnosis in the presence of strong background noise or other shock sources. Aiming at overcoming the shortcoming, a pulse adaptive time-frequency transform method is proposed to extract the fault features of the damaged rolling bearing. The method arranges the rolling bearing shock pulses extracted by shock pulse method in the order of time and takes the reciprocal of the time interval between the pulse at any moment and the other pulse as all instantaneous frequency components in the moment. And then it visually displays the changing rule of each instantaneous frequency after plane transformation of the instantaneous frequency components, realizes the time-frequency transform of shock pulse sequence through time-frequency domain amplitude relevancy processing, and highlights the fault feature frequencies by effective instantaneous frequency extraction, so as to extract the fault features of the damaged rolling bearing. The results of simulation and application show that the proposed method can suppress the noises well, highlight the fault feature frequencies, and avoid erroneous diagnosis, so it is an effective fault feature extraction method for the rolling bearing with high time-frequency resolution.

  19. LEAST-SQUARES METHOD-BASED FEATURE FITTING AND EXTRACTION IN REVERSE ENGINEERING

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The main purpose of reverse engineering is to convert discrete data points into piecewise smooth, continuous surface models.Before carrying out model reconstruction it is significant to extract geometric features because the quality of modeling greatly depends on the representation of features.Some fitting techniques of natural quadric surfaces with least-squares method are described.And these techniques can be directly used to extract quadric surfaces features during the process of segmentation for point cloud.

  20. Sequential Clustering based Facial Feature Extraction Method for Automatic Creation of Facial Models from Orthogonal Views

    CERN Document Server

    Ghahari, Alireza

    2009-01-01

    Multiview 3D face modeling has attracted increasing attention recently and has become one of the potential avenues in future video systems. We aim to make more reliable and robust automatic feature extraction and natural 3D feature construction from 2D features detected on a pair of frontal and profile view face images. We propose several heuristic algorithms to minimize possible errors introduced by prevalent nonperfect orthogonal condition and noncoherent luminance. In our approach, we first extract the 2D features that are visible to both cameras in both views. Then, we estimate the coordinates of the features in the hidden profile view based on the visible features extracted in the two orthogonal views. Finally, based on the coordinates of the extracted features, we deform a 3D generic model to perform the desired 3D clone modeling. Present study proves the scope of resulted facial models for practical applications like face recognition and facial animation.

  1. Flow method based on cloud point extraction for fluorometric determination of epinephrine in human urine.

    Science.gov (United States)

    Davletbaeva, Polina; Falkova, Marina; Safonova, Evgenia; Moskvin, Leonid; Bulatov, Andrey

    2016-03-10

    A novel stepwise injection fluorometric method for the determination of epinephrine in human urine has been developed. In the current study, the stepwise injection analysis (SWIA) was successfully combined with on-line in-syringe cloud point extraction (CPE) and fluorometric detection. The procedure was based on the epinephrine derivatization in the presence of o-phenylenediamine followed by the preconcentration stage based on the CPE with the nonionic surfactant Triton X-114. After the phase separation into a syringe of the flow system, the micellar phase containing the epinephrine derivative was transported to a fluorometric detector. The excitation and emission wavelengths were set at 447 nm and 550 nm, respectively. The conditions of epinephrine derivatization and CPE have been studied. The calibration plot constructed using the developed procedure was linear in the range of 1·10(-11)-5·10(-7) mol L(-1). The limit of detection, calculated as 3 σ of a blank test (n = 10), was found to be 3·10(-12) mol L(-1). The proposed method was successfully applied for the determination of epinephrine in human urine samples.

  2. Comparison of Different Protein Extraction Methods for Gel-Based Proteomic Analysis of Ganoderma spp.

    Science.gov (United States)

    Al-Obaidi, Jameel R; Saidi, Noor Baity; Usuldin, Siti Rokhiyah Ahmad; Hussin, Siti Nahdatul Isnaini Said; Yusoff, Noornabeela Md; Idris, Abu Seman

    2016-04-01

    Ganoderma species are a group of fungi that have the ability to degrade lignin polymers and cause severe diseases such as stem and root rot and can infect economically important plants and perennial crops such as oil palm, especially in tropical countries such as Malaysia. Unfortunately, very little is known about the complex interplay between oil palm and Ganoderma in the pathogenesis of the diseases. Proteomic technologies are simple yet powerful tools in comparing protein profile and have been widely used to study plant-fungus interaction. A critical step to perform a good proteome research is to establish a method that gives the best quality and a wide coverage of total proteins. Despite the availability of various protein extraction protocols from pathogenic fungi in the literature, no single extraction method was found suitable for all types of pathogenic fungi. To develop an optimized protein extraction protocol for 2-DE gel analysis of Ganoderma spp., three previously reported protein extraction protocols were compared: trichloroacetic acid, sucrose and phenol/ammonium acetate in methanol. The third method was found to give the most reproducible gels and highest protein concentration. Using the later method, a total of 10 protein spots (5 from each species) were successfully identified. Hence, the results from this study propose phenol/ammonium acetate in methanol as the most effective protein extraction method for 2-DE proteomic studies of Ganoderma spp.

  3. Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis

    Science.gov (United States)

    Koga, Kusuto; Hayashi, Yuichiro; Hirose, Tomoaki; Oda, Masahiro; Kitasaka, Takayuki; Igami, Tsuyoshi; Nagino, Masato; Mori, Kensaku

    2014-03-01

    In this paper, we propose an automated biliary tract extraction method from abdominal CT volumes. The biliary tract is the path by which bile is transported from liver to the duodenum. No extraction method have been reported for the automated extraction of the biliary tract from common contrast CT volumes. Our method consists of three steps including: (1) extraction of extrahepatic bile duct (EHBD) candidate regions, (2) extraction of intrahepatic bile duct (IHBD) candidate regions, and (3) combination of these candidate regions. The IHBD has linear structures and intensities of the IHBD are low in CT volumes. We use a dark linear structure enhancement (DLSE) filter based on a local intensity structure analysis method using the eigenvalues of the Hessian matrix for the IHBD candidate region extraction. The EHBD region is extracted using a thresholding process and a connected component analysis. In the combination process, we connect the IHBD candidate regions to each EHBD candidate region and select a bile duct region from the connected candidate regions. We applied the proposed method to 22 cases of CT volumes. An average Dice coefficient of extraction result was 66.7%.

  4. Extraction Methods, Variability Encountered in

    NARCIS (Netherlands)

    Bodelier, P.L.E.; Nelson, K.E.

    2014-01-01

    Synonyms Bias in DNA extractions methods; Variation in DNA extraction methods Definition The variability in extraction methods is defined as differences in quality and quantity of DNA observed using various extraction protocols, leading to differences in outcome of microbial community composition

  5. Extraction Methods, Variability Encountered in

    NARCIS (Netherlands)

    Bodelier, P.L.E.; Nelson, K.E.

    2014-01-01

    Synonyms Bias in DNA extractions methods; Variation in DNA extraction methods Definition The variability in extraction methods is defined as differences in quality and quantity of DNA observed using various extraction protocols, leading to differences in outcome of microbial community composition as

  6. Extraction of mismatch negativity using a resampling-based spatial filtering method

    Science.gov (United States)

    Lin, Yanfei; Wu, Wei; Wu, Chaohua; Liu, Baolin; Gao, Xiaorong

    2013-04-01

    Objective. It is currently a challenge to extract the mismatch negativity (MMN) waveform on the basis of a small number of EEG trials, which are typically unbalanced between conditions. Approach. In order to address this issue, a method combining the techniques of resampling and spatial filtering is proposed in this paper. Specifically, the first step of the method, termed ‘resampling difference’, randomly samples the standard and deviant sweeps, and then subtracts standard sweeps from deviant sweeps. The second step of the method employs the spatial filters designed by a signal-to-noise ratio maximizer (SIM) to extract the MMN component. The SIM algorithm can maximize the signal-to-noise ratio for event-related potentials (ERPs) to improve extraction. Simulation data were used to evaluate the influence of three parameters (i.e. trial number, repeated-SIM times and sampling times) on the performance of the proposed method. Main results. Results demonstrated that it was feasible and reliable to extract the MMN waveform using the method. Finally, an oddball paradigm with auditory stimuli of different frequencies was employed to record a few trials (50 trials of deviant sweeps and 250 trials of standard sweeps) of EEG data from 11 adult subjects. Results showed that the method could effectively extract the MMN using the EEG data of each individual subject. Significance. The extracted MMN waveform has a significantly larger peak amplitude and shorter latencies in response to the more deviant stimuli than in response to the less deviant stimuli, which agreed with the MMN properties reported in previous literature using grand-averaged EEG data of multi-subjects.

  7. Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing

    Directory of Open Access Journals (Sweden)

    Kwang Baek Kim

    2015-01-01

    Full Text Available Ultrasound examination (US does a key role in the diagnosis and management of the patients with clinically suspected appendicitis which is the most common abdominal surgical emergency. Among the various sonographic findings of appendicitis, outer diameter of the appendix is most important. Therefore, clear delineation of the appendix on US images is essential. In this paper, we propose a new intelligent method to extract appendix automatically from abdominal sonographic images as a basic building block of developing such an intelligent tool for medical practitioners. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply fuzzy ART learning algorithm to the organ area in order to extract appendix accurately. The experiment verifies that the proposed method is highly accurate (successful in 38 out of 40 cases in extracting appendix.

  8. An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images

    Directory of Open Access Journals (Sweden)

    Xu Sun

    2015-12-01

    Full Text Available Mixed pixels are common in hyperspectral remote sensing images. Endmember extraction is a key step in spectral unmixing. The linear spectral mixture model (LSMM constitutes a geometric approach that is commonly used for this purpose. This paper introduces the use of artificial bee colony (ABC algorithms for spectral unmixing. First, the objective function of the external minimum volume model is improved to enhance the robustness of the results, and then, the ABC-based endmember extraction process is presented. Depending on the characteristics of the objective function, two algorithms, Artificial Bee Colony Endmember Extraction-RMSE (ABCEE-R and ABCEE-Volume (ABCEE-V are proposed. Finally, two sets of experiment using synthetic data and one set of experiments using a real hyperspectral image are reported. Comparative experiments reveal that ABCEE-R and ABCEE-V can achieve better endmember extraction results than other algorithms when processing data with a low signal-to-noise ratio (SNR. ABCEE-R does not require high accuracy in the number of endmembers, and it can always obtain the result with the best root mean square error (RMSE; when the number of endmembers extracted and the true number of endmembers does not match, the RMSE of the ABCEE-V results is usually not as good as that of ABCEE-R, but the endmembers extracted using the former algorithm are closer to the true endmembers.

  9. [Evaluation of remote sensing extraction methods for vegetation phenology based on flux tower net ecosystem carbon exchange data].

    Science.gov (United States)

    Mou, Min-Jie; Zhu, Wen-Quan; Wang, Ling-Li; Xu, Ying-Jun; Liu, Jian-Hong

    2012-02-01

    Taking the vegetation phenological metrics derived from the net ecosystem carbon exchange (NEE) data of 72 flux towers in North America as the references, a comprehensive evaluation was conducted on the three typical classes of remote sensing extraction methods (threshold method, moving average method, and function fitting method) for vegetation phenology from the aspects of feasibility and accuracy. The results showed that the local midpoint threshold method had the highest feasibility and accuracy for extracting vegetation phenology, followed by the first derivative method based on fitted Logistic function. The feasibility and accuracy of moving average method were determined by the moving window size. As for the MODJS 16 d composited time-series normalized difference vegetation index (NDVI), the moving average method had preferable performance when the window size was set as 15. The global threshold method performed quite poor in the feasibility and accuracy. Though the values of the phenological metrics extracted by the curvature change rate method based on fitted Logistic function and the corresponding ones derived from NEE data had greater differences, there existed a strong correlation between them, indicating that the vegetation phenological metrics extracted by the curvature change rate method could reflect the real temporal and spatial variations of vegetation phenology.

  10. Research on the method of extracting DEM based on GBInSAR

    Science.gov (United States)

    Yue, Jianping; Yue, Shun; Qiu, Zhiwei; Wang, Xueqin; Guo, Leping

    2016-05-01

    Precise topographical information has a very important role in geology, hydrology, natural resources survey and deformation monitoring. The extracting DEM technology based on synthetic aperture radar interferometry (InSAR) obtains the three-dimensional elevation of the target area through the phase information of the radar image data. The technology has large-scale, high-precision, all-weather features. By changing track in the location of the ground radar system up and down, it can form spatial baseline. Then we can achieve the DEM of the target area by acquiring image data from different angles. Three-dimensional laser scanning technology can quickly, efficiently and accurately obtain DEM of target area, which can verify the accuracy of DEM extracted by GBInSAR. But research on GBInSAR in extracting DEM of the target area is a little. For lack of theory and lower accuracy problems in extracting DEM based on GBInSAR now, this article conducted research and analysis on its principle deeply. The article extracted the DEM of the target area, combined with GBInSAR data. Then it compared the DEM obtained by GBInSAR with the DEM obtained by three-dimensional laser scan data and made statistical analysis and normal distribution test. The results showed the DEM obtained by GBInSAR was broadly consistent with the DEM obtained by three-dimensional laser scanning. And its accuracy is high. The difference of both DEM approximately obeys normal distribution. It indicated that extracting the DEM of target area based on GBInSAR is feasible and provided the foundation for the promotion and application of GBInSAR.

  11. Evaluation of moisturizing effect of methanolic extract of five medicinal plants incorporated into cream bases using impedance and extensiometry methods.

    Science.gov (United States)

    Khazaeli, Payam; Sharififar, Fariba; Amiri, Fahimeh; Heravi, Gioia; Heravi, Gioia

    2011-10-01

    Skin moisturizing is an important issue due to its impact on skin function. Adverse reactions to herbal extracts have been rarely reported and can be used in moisturizers. This study was conduct to evaluate moisturizing effect of a methanolic extract of five medicinal plants incorporated into cream bases. Methanolic extract of five medicinal plants including olive, burdock, licorice, mallow and marsh horsetail was prepared. The extracts were dissolved in distilled water completely and freeze-dried to a dry powder. These extracts were added separately to the cream based formulation that has been suggested to be appropriate for adding herbal extracts. Moisturizing effects of these creams with herbal extracts were assessed using the impedance method on 12 rats equally divided into six groups (one control and five cases), as well as the extensiometry method on 25 mice divided into five groups (in each group one cream with herbal extract and control cream were tested concurrently). Obtained results were compared with the control cream based. The maximum moisturizing effect was observed with the marsh horsetail. Other creams with herbal extracts, except the one with the licorice, also exerted significantly higher moisturizing effect compared to the controls (P<0.05). Regarding the force for skin tearing, the differences were statistically significant in all groups when compared to the control group (P<0.05) and the highest difference was seen in the marsh horsetail group (2.0832 ± 0.6811 kgN). The highest moisturizing activity was observed using marsh horsetail extract that can be explained by flavonoids content of marsh horsetail.

  12. Shocking fault component of abnormal sound signal in the fault engine extract method based on linear superposition method and cross-correlation analysis

    Directory of Open Access Journals (Sweden)

    Dayong Ning

    2015-08-01

    Full Text Available An extracted fault component of an abnormal sound is useful for faulty diagnosis. The existing fault component extracting approaches based on time–frequency analysis should filter the original signal to eliminate the background noise. However, these approaches will significantly change the fault component. In this article, a method for extracting the fault component of an abnormal sound signal is presented. This method is based on the linear superposition method and cross-correlation analysis. The method can eliminate the background noise and acquire the waveform of fault component. According to the feature of the shocking fault component, the acquired signal was intercepted into several segments, and the cross-correlation analysis was adopted to remove the wrong segment without the fault shocking component. The correct components were then linearly superposed together to eliminate the background noise. Finally, two experiments were performed to evaluate the effectiveness of the proposed fault component extracting method. The results show that the approach satisfactorily extracts the fault shocking component. The precise faulty component can be extracted by this method, which judges the engine condition precisely. The fault type can be diagnosed easily by this method. This method can be used in other fields to extract a particular component from a complicated signal.

  13. Deep Eutectic Solvent-Based Microwave-Assisted Method for Extraction of Hydrophilic and Hydrophobic Components from Radix Salviae miltiorrhizae

    Directory of Open Access Journals (Sweden)

    Jue Chen

    2016-10-01

    Full Text Available Deep eutectic solvents (DESs have attracted significant attention as a promising green media. In this work, twenty-five kinds of benign choline chloride-based DESs with microwave-assisted methods were applied to quickly extract active components from Radix Salviae miltiorrhizae. The extraction factors, including temperature, time, power of microwave, and solid/liquid ratio, were investigated systematically by response surface methodology. The hydrophilic and hydrophobic ingredients were extracted simultaneously under the optimized conditions: 20 vol% of water in choline chloride/1,2-propanediol (1:1, molar ratio as solvent, microwave power of 800 W, temperature at 70 °C, time at 11.11 min, and solid/liquid ratio of 0.007 g·mL−1. The extraction yield was comparable to, or even better than, conventional methods with organic solvents. The microstructure alteration of samples before and after extraction was also investigated. The method validation was tested as the linearity of analytes (r2 > 0.9997 over two orders of magnitude, precision (intra-day relative standard deviation (RSD < 2.49 and inter-day RSD < 2.96, and accuracy (recoveries ranging from 95.04% to 99.93%. The proposed DESs combined with the microwave-assisted method provided a prominent advantage for fast and efficient extraction of active components, and DESs could be extended as solvents to extract and analyze complex environmental and pharmaceutical samples.

  14. A Vector-based Method for the Extraction of Catchment from Grid DEMs

    Institute of Scientific and Technical Information of China (English)

    ZHU Qing; TIAN Yixiang

    2005-01-01

    The methodology of catchment extraction especially from regular grid digital elevation models (DEMs) is briefly reviewed.Then an efficient algorithm, which combines vector process and traditional neighbourhood raster process, is designed for extracting the catchments and subcatchments from depressionless DEMs.The catchment area of each river in the grid DEM data is identified and delineated, then is divided into subcatchments as required.Compared to traditional processes, this method for identifying catchments focuses on the boundaries instead of the area inside the catchments and avoids the boundary intersection phenomena.Last, the algorithm is tested with a set of DEMs of different sizes, and the result proves that the computation efficiency and accuracy are better than existent methods.

  15. Built-up Areas Extraction in High Resolution SAR Imagery based on the method of Multiple Feature Weighted Fusion

    Science.gov (United States)

    Liu, X.; Zhang, J. X.; Zhao, Z.; Ma, A. D.

    2015-06-01

    Synthetic aperture radar in the application of remote sensing technology is becoming more and more widely because of its all-time and all-weather operation, feature extraction research in high resolution SAR image has become a hot topic of concern. In particular, with the continuous improvement of airborne SAR image resolution, image texture information become more abundant. It's of great significance to classification and extraction. In this paper, a novel method for built-up areas extraction using both statistical and structural features is proposed according to the built-up texture features. First of all, statistical texture features and structural features are respectively extracted by classical method of gray level co-occurrence matrix and method of variogram function, and the direction information is considered in this process. Next, feature weights are calculated innovatively according to the Bhattacharyya distance. Then, all features are weighted fusion. At last, the fused image is classified with K-means classification method and the built-up areas are extracted after post classification process. The proposed method has been tested by domestic airborne P band polarization SAR images, at the same time, two groups of experiments based on the method of statistical texture and the method of structural texture were carried out respectively. On the basis of qualitative analysis, quantitative analysis based on the built-up area selected artificially is enforced, in the relatively simple experimentation area, detection rate is more than 90%, in the relatively complex experimentation area, detection rate is also higher than the other two methods. In the study-area, the results show that this method can effectively and accurately extract built-up areas in high resolution airborne SAR imagery.

  16. SLiCE: a novel bacterial cell extract-based DNA cloning method.

    Science.gov (United States)

    Zhang, Yongwei; Werling, Uwe; Edelmann, Winfried

    2012-04-01

    We describe a novel cloning method termed SLiCE (Seamless Ligation Cloning Extract) that utilizes easy to generate bacterial cell extracts to assemble multiple DNA fragments into recombinant DNA molecules in a single in vitro recombination reaction. SLiCE overcomes the sequence limitations of traditional cloning methods, facilitates seamless cloning by recombining short end homologies (≥15 bp) with or without flanking heterologous sequences and provides an effective strategy for directional subcloning of DNA fragments from Bacteria Artificial Chromosomes (BACs) or other sources. SLiCE is highly cost effective as a number of standard laboratory bacterial strains can serve as sources for SLiCE extract. In addition, the cloning efficiencies and capabilities of these strains can be greatly improved by simple genetic modifications. As an example, we modified the DH10B Escherichia coli strain to express an optimized λ prophage Red recombination system. This strain, termed PPY, facilitates SLiCE with very high efficiencies and demonstrates the versatility of the method.

  17. A Natural-Rule-Based-Connection (NRBC Method for River Network Extraction from High-Resolution Imagery

    Directory of Open Access Journals (Sweden)

    Chuiqing Zeng

    2015-10-01

    Full Text Available This study proposed a natural-rule-based-connection (NRBC method to connect river segments after water body detection from remotely sensed imagery. A complete river network is important for many hydrological applications. While water body detection methods using remote sensing are well-developed, less attention has been paid to connect discontinuous river segments and form a complete river network. This study designed an automated NRBC method to extract a complete river network by connecting river segments at polygon level. With the assistance of an image pyramid, neighbouring river segments are connected based on four criteria: gap width (Tg, river direction consistency (Tθ, river width consistency (Tw, and minimum river segment length (Tl. The sensitivity of these four criteria were tested, analyzed, and proper criteria values were suggested using image scenes from two diverse river cases. The comparison of NRBC and the alternative morphological method demonstrated NRBC’s advantage of natural rule based selective connection. We refined a river centerline extraction method and show how it outperformed three other existing centerline extraction methods on the test sites. The extracted river polygons and centerlines have a multitude of end uses including rapidly mapping flood extents, monitoring surface water supply, and the provision of validation data for simulation models required for water quantity, quality and aquatic biota assessments. The code for the NRBC is available on GitHub.

  18. A Fingerprinting Method Based on Module Extraction Used to Protect Intellectual Property

    Institute of Scientific and Technical Information of China (English)

    MIAO Sheng; DAI Guanzhong; LIU Hang; LI Meifeng

    2006-01-01

    Intellectual Property (IP) reuse methodology has been widely used in Integrate Circuit (IC) design. Meanwhile, the corresponding security problems caused by illegal IP distribution have aroused lots of attentions. Unlike using IP watermark to identify IP's ownership, IP fingerprinting can be used to trace illegal distributor. In this paper, IP buyer's fingerprint is mapped into different derived instances of extracted modules, and then is embedded into IP to identify distributor in case of illegal distribution. Comparing with other fingerprinting method, the proposed method has some good characteristics such as low design effort, small storage demand, high security and few physical overheads.

  19. A new method to extract stable feature points based on self-generated simulation images

    Science.gov (United States)

    Long, Fei; Zhou, Bin; Ming, Delie; Tian, Jinwen

    2015-10-01

    Recently, image processing has got a lot of attention in the field of photogrammetry, medical image processing, etc. Matching two or more images of the same scene taken at different times, by different cameras, or from different viewpoints, is a popular and important problem. Feature extraction plays an important part in image matching. Traditional SIFT detectors reject the unstable points by eliminating the low contrast and edge response points. The disadvantage is the need to set the threshold manually. The main idea of this paper is to get the stable extremums by machine learning algorithm. Firstly we use ASIFT approach coupled with the light changes and blur to generate multi-view simulated images, which make up the set of the simulated images of the original image. According to the way of generating simulated images set, affine transformation of each generated image is also known. Instead of the traditional matching process which contain the unstable RANSAC method to get the affine transformation, this approach is more stable and accurate. Secondly we calculate the stability value of the feature points by the set of image with its affine transformation. Then we get the different feature properties of the feature point, such as DOG features, scales, edge point density, etc. Those two form the training set while stability value is the dependent variable and feature property is the independent variable. At last, a process of training by Rank-SVM is taken. We will get a weight vector. In use, based on the feature properties of each points and weight vector calculated by training, we get the sort value of each feature point which refers to the stability value, then we sort the feature points. In conclusion, we applied our algorithm and the original SIFT detectors to test as a comparison. While in different view changes, blurs, illuminations, it comes as no surprise that experimental results show that our algorithm is more efficient.

  20. Establishing a novel automated magnetic bead-based method for the extraction of DNA from a variety of forensic samples.

    Science.gov (United States)

    Witt, Sebastian; Neumann, Jan; Zierdt, Holger; Gébel, Gabriella; Röscheisen, Christiane

    2012-09-01

    Automated systems have been increasingly utilized for DNA extraction by many forensic laboratories to handle growing numbers of forensic casework samples while minimizing the risk of human errors and assuring high reproducibility. The step towards automation however is not easy: The automated extraction method has to be very versatile to reliably prepare high yields of pure genomic DNA from a broad variety of sample types on different carrier materials. To prevent possible cross-contamination of samples or the loss of DNA, the components of the kit have to be designed in a way that allows for the automated handling of the samples with no manual intervention necessary. DNA extraction using paramagnetic particles coated with a DNA-binding surface is predestined for an automated approach. For this study, we tested different DNA extraction kits using DNA-binding paramagnetic particles with regard to DNA yield and handling by a Freedom EVO(®)150 extraction robot (Tecan) equipped with a Te-MagS magnetic separator. Among others, the extraction kits tested were the ChargeSwitch(®)Forensic DNA Purification Kit (Invitrogen), the PrepFiler™Automated Forensic DNA Extraction Kit (Applied Biosystems) and NucleoMag™96 Trace (Macherey-Nagel). After an extensive test phase, we established a novel magnetic bead extraction method based upon the NucleoMag™ extraction kit (Macherey-Nagel). The new method is readily automatable and produces high yields of DNA from different sample types (blood, saliva, sperm, contact stains) on various substrates (filter paper, swabs, cigarette butts) with no evidence of a loss of magnetic beads or sample cross-contamination. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  1. A Concealed Car Extraction Method Based on Full-Waveform LiDAR Data

    Directory of Open Access Journals (Sweden)

    Chuanrong Li

    2016-01-01

    Full Text Available Concealed cars extraction from point clouds data acquired by airborne laser scanning has gained its popularity in recent years. However, due to the occlusion effect, the number of laser points for concealed cars under trees is not enough. Thus, the concealed cars extraction is difficult and unreliable. In this paper, 3D point cloud segmentation and classification approach based on full-waveform LiDAR was presented. This approach first employed the autocorrelation G coefficient and the echo ratio to determine concealed cars areas. Then the points in the concealed cars areas were segmented with regard to elevation distribution of concealed cars. Based on the previous steps, a strategy integrating backscattered waveform features and the view histogram descriptor was developed to train sample data of concealed cars and generate the feature pattern. Finally concealed cars were classified by pattern matching. The approach was validated by full-waveform LiDAR data and experimental results demonstrated that the presented approach can extract concealed cars with accuracy more than 78.6% in the experiment areas.

  2. Waveguide-based extraction of near-field electromagnetic radiation: a new method for thermal energy conversion?

    CERN Document Server

    Poole, Zsolt L

    2016-01-01

    Energy in a useful form is a vital resource and hence there is a continuous strive to improve existing technologies and to find new ones that address that basic need. The conversion of thermal energy is the primary source of generating electrical energy from a broad range of sources such as, for example coal, oil, natural gas, solar, geothermal, and nuclear energy. A common need in all cases is the ability to efficiently extract the generated electromagnetic and thermal energy and to convert it to electricity. The current methods of thermal energy extraction are based on heat engines, thermoelectric, and thermophotovoltaic conversion. In this report a method based on the direct extraction of Electromagnetic energy from the thermal near-field through the use of optical waveguides, is presented.

  3. Development and validation of an automated extraction method (accelerated solvent extraction) and a reverse-phase HPLC analysis method for assay of ivermectin in a meat-based chewable formulation.

    Science.gov (United States)

    Abend, Andreas M; Chung, Le; McCollum, David G; Wuelfing, W Peter

    2003-04-10

    A new method for monitoring ivermectin content in HEARTGARD CHEWABLES has been developed and validated. The method consists of the automated extraction of ivermectin from the meat-based formulation under conditions of elevated temperature and pressure (accelerated solvent extraction, ASE, and determination of the active by reverse-phase high performance liquid chromatography (HPLC). The method resolves both active species of ivermectin (components H(2)B(1a) and H(2)B(1b)) from the formulation matrix.

  4. A comparison of six methods for genomic DNA extraction suitable for PCR-based genotyping applications using ovine milk samples.

    Science.gov (United States)

    Psifidi, Androniki; Dovas, Chrysostomos I; Banos, Georgios

    2010-04-01

    Isolation of amplifiable genomic DNA is a prerequisite for the genetic assessment of diseases and disease susceptibility in farm animals. Milk somatic cells are a practical, animal friendly and cost-effective source of genomic DNA in milking ruminants. In this study, six different DNA extraction methods were optimized, evaluated and compared for the isolation of DNA from ovine milk samples. Methods 1 and 2 were direct applications of two commercial kits, Nucleospin((R)) Blood and Nucleospin((R)) Tissue, respectively. Methods 3 and 4 were based on modified protocols of methods 1 and 2, respectively, aiming at increasing DNA recovery and integrity, and eliminating PCR inhibitors. Method 5 was a standard Phenol-Chloroform protocol application and method 6 was based on an in-house developed protocol using silica as the affinity matrix. Spectrophotometer, gel electrophoresis and real-time PCR measurements were used as criteria for evaluating quantity and quality of the extracted DNA. Processing time, intensity of labor and cost for each method were also evaluated. Results suggested that methods 1-4 were considered suitable for molecular downstream applications and performed better than methods 5 and 6. Modifications of protocols 3 and 4 increased the quantity and quality of the extracted DNA from ovine milk samples. Method 3 was proved to be highly efficient and robust for large scale use as demonstrated by its successful application to 1000 individual ovine milk and 50 bulk milk samples.

  5. PPI-IRO: A two-stage method for protein-protein interaction extraction based on interaction relation ontology

    KAUST Repository

    Li, Chuanxi

    2014-01-01

    Mining Protein-Protein Interactions (PPIs) from the fast-growing biomedical literature resources has been proven as an effective approach for the identifi cation of biological regulatory networks. This paper presents a novel method based on the idea of Interaction Relation Ontology (IRO), which specifi es and organises words of various proteins interaction relationships. Our method is a two-stage PPI extraction method. At fi rst, IRO is applied in a binary classifi er to determine whether sentences contain a relation or not. Then, IRO is taken to guide PPI extraction by building sentence dependency parse tree. Comprehensive and quantitative evaluations and detailed analyses are used to demonstrate the signifi cant performance of IRO on relation sentences classifi cation and PPI extraction. Our PPI extraction method yielded a recall of around 80% and 90% and an F1 of around 54% and 66% on corpora of AIMed and Bioinfer, respectively, which are superior to most existing extraction methods. Copyright © 2014 Inderscience Enterprises Ltd.

  6. Stereoscopic vision-based robotic manipulator extraction method for enhanced soft tissue reconstruction.

    Science.gov (United States)

    Kowalczuk, Jędrzej; Psota, Eric; Pérez, Lance C

    2013-01-01

    The availability of digital stereoscopic video feedback on surgical robotic platforms allows for a variety of enhancements through the application of computer vision. Several of these enhancements, such as augmented reality and semi-automated surgery, benefit significantly from identification of the robotic manipulators within the field of view. A method is presented for the extraction of robotic manipulators from stereoscopic views of the operating field that uses a combination of marker tracking, inverse kinematics, and computer rendering. This method is shown to accurately identify the locations of the manipulators within the views. It is further demonstrated that this method can be used to enhance 3D reconstruction of the operating field and produce augmented views.

  7. Analysis of several methods for the extraction of high quality DNA from acetic acid bacteria in wine and vinegar for characterization by PCR-based methods.

    Science.gov (United States)

    Jara, C; Mateo, E; Guillamón, J M; Torija, M J; Mas, A

    2008-12-10

    Acetic acid bacteria (AAB) are fastidious microorganisms with poor recovery in culture. Culture-independent methods are currently under examination. Good DNA extraction is a strict requirement of these methods. We compared five methods for extracting the DNA of AAB directly from wine and vinegar samples. Four matrices (white wine, red wine, superficial vinegar and submerged vinegar) contaminated with two AAB strains belonging to Acetobacter pasteurianus and Gluconacetobacter hansenii were assayed. To improve the yield and quality of the extracted DNA, a sample treatment (washing with polyvinyl pyrrolidone or NaCl) was also tested. DNA quality was measured by amplification of the 16S rRNA gene with conventional PCR. DNA recovery rate was assessed by real-time PCR. DNA amplification was always successful with the Wizard method though DNA recovery was poor. A CTAB-based method and NucleoSpin protocol extracted the highest DNA recoveries from wine and vinegar samples. Both of these methods require treatment to recover suitable DNA for amplification with maximum recovery. Both may therefore be good solutions for DNA extraction in wine and vinegar samples. DNA extraction of Ga hansenii was more effective than that of A. pasteurianus. The fastest and cheapest method we evaluated (the Thermal shock protocol) produced the worst results both for DNA amplification and DNA recovery.

  8. Development of an Analytical Method Based on Temperature Controlled Solid-Liquid Extraction Using an Ionic Liquid as Solid Solvent

    Directory of Open Access Journals (Sweden)

    Zhongwei Pan

    2015-12-01

    Full Text Available At the present paper, an analytical method based on temperature controlled solid-liquid extraction (TC-SLE utilizing a synthesized ionic liquid, (N-butylpyridinium hexafluorophosphate, [BPy]PF6, as solid solvent and phenanthroline (PT as an extractant was developed to determine micro levels of Fe2+ in tea by PT spectrophotometry. TC-SLE was carried out in two continuous steps: Fe2+ can be completely extracted by PT-[BPy]PF6 or back-extracted at 80 °C and the two phases were separated automatically by cooling to room temperature. Fe2+, after back-extraction, needs 2 mol/L HNO3 as stripping agent and the whole process was determined by PT spectrophotometry at room temperature. The extracted species was neutral Fe(PTmCl2 (m = 1 according to slope analysis in the Fe2+-[BPy]PF6-PT TC-SLE system. The calibration curve was Y = 0.20856X − 0.000775 (correlation coefficient = 0.99991. The linear calibration range was 0.10–4.50 μg/mL and the limit of detection for Fe2+ is 7.0 × 10−2 μg/mL. In this method, the contents of Fe2+ in Tieguanyin tea were determined with RSDs (n = 5 3.05% and recoveries in range of 90.6%–108.6%.

  9. A Waterline Extraction Method from Remote Sensing Image Based on Quad-tree and Multiple Active Contour Model

    Directory of Open Access Journals (Sweden)

    YU Jintao

    2016-09-01

    Full Text Available After the characteristics of geodesic active contour model (GAC, Chan-Vese model(CV and local binary fitting model(LBF are analyzed, and the active contour model based on regions and edges is combined with image segmentation method based on quad-tree, a waterline extraction method based on quad-tree and multiple active contour model is proposed in this paper. Firstly, the method provides an initial contour according to quad-tree segmentation. Secondly, a new signed pressure force(SPF function based on global image statistics information of CV model and local image statistics information of LBF model has been defined, and then ,the edge stopping function(ESF is replaced by the proposed SPF function, which solves the problem such as evolution stopped in advance and excessive evolution. Finally, the selective binary and Gaussian filtering level set method is used to avoid reinitializing and regularization to improve the evolution efficiency. The experimental results show that this method can effectively extract the weak edges and serious concave edges, and owns some properties such as sub-pixel accuracy, high efficiency and reliability for waterline extraction.

  10. Feature Extraction Method of Rolling Bearing Fault Signal Based on EEMD and Cloud Model Characteristic Entropy

    Directory of Open Access Journals (Sweden)

    Long Han

    2015-09-01

    Full Text Available The randomness and fuzziness that exist in rolling bearings when faults occur result in uncertainty in acquisition signals and reduce the accuracy of signal feature extraction. To solve this problem, this study proposes a new method in which cloud model characteristic entropy (CMCE is set as the signal characteristic eigenvalue. This approach can overcome the disadvantages of traditional entropy complexity in parameter selection when solving uncertainty problems. First, the acoustic emission signals under normal and damage rolling bearing states collected from the experiments are decomposed via ensemble empirical mode decomposition. The mutual information method is then used to select the sensitive intrinsic mode functions that can reflect signal characteristics to reconstruct the signal and eliminate noise interference. Subsequently, CMCE is set as the eigenvalue of the reconstructed signal. Finally, through the comparison of experiments between sample entropy, root mean square and CMCE, the results show that CMCE can better represent the characteristic information of the fault signal.

  11. Persian Word Sense Disambiguation Corpus Extraction Based on Web Crawler Method

    Directory of Open Access Journals (Sweden)

    Mohamadreza Mahmoodvand

    2015-09-01

    Full Text Available Finding an appropriate dataset for natural language processing applications is one of the main challenges for researches of this field. This issue is more problematic in Non-Latin languages especially Persian language. Access to an appropriate dataset that can be used in development of practical programs in language processing field, helps us to validate the obtained results and provide the feasibility for comparison and precise analysis of the research studies in this field. This paper presents the procedure for extracting a standard dataset in Persian language. This dataset can only be used for research studies in the field of word-sense disambiguation in Persian language. The required documents that include the ambiguous words of interest are collected by a crawling robot; then these words are processed and registered in Persian dataset for ambiguous words. In this research, three prevalent Persian ambiguous word are used for extracting appropriate phrases that included these words. Finally, a framework for creating the proper configuration for application in word-sense disambiguation problems is presented. By using of this method, we have a solution for absence of suitable word sense disambiguation corpus in Persian language.

  12. A method for extracting human gait series from accelerometer signals based on the ensemble empirical mode decomposition

    Science.gov (United States)

    Fu, Mao-Jing; Zhuang, Jian-Jun; Hou, Feng-Zhen; Zhan, Qing-Bo; Shao, Yi; Ning, Xin-Bao

    2010-05-01

    In this paper, the ensemble empirical mode decomposition (EEMD) is applied to analyse accelerometer signals collected during normal human walking. First, the self-adaptive feature of EEMD is utilised to decompose the accelerometer signals, thus sifting out several intrinsic mode functions (IMFs) at disparate scales. Then, gait series can be extracted through peak detection from the eigen IMF that best represents gait rhythmicity. Compared with the method based on the empirical mode decomposition (EMD), the EEMD-based method has the following advantages: it remarkably improves the detection rate of peak values hidden in the original accelerometer signal, even when the signal is severely contaminated by the intermittent noises; this method effectively prevents the phenomenon of mode mixing found in the process of EMD. And a reasonable selection of parameters for the stop-filtering criteria can improve the calculation speed of the EEMD-based method. Meanwhile, the endpoint effect can be suppressed by using the auto regressive and moving average model to extend a short-time series in dual directions. The results suggest that EEMD is a powerful tool for extraction of gait rhythmicity and it also provides valuable clues for extracting eigen rhythm of other physiological signals.

  13. Time Slice Analysis Method Based on OTCA Used in fMRI Weak Signal Function Extraction

    Institute of Scientific and Technical Information of China (English)

    LUO Sen-lin; LI Li; ZHANG Xin-li; ZHANG Tie-mei

    2007-01-01

    The original temporal clustering analysis (OTCA) is an effective technique for obtaining brain activation maps when the timing and location of the activation are completely unknown, but its deficiency of sensitivity is exposed in processing brain activation signal which is relatively weak. The time slice analysis method based on OTCA is proposed considering the weakness of the functional magnetic resonance imaging (fMRI) signal of the rat model. By dividing the stimulation period into several time slices and analyzing each slice to detect the activated pixels respectively after the background removal, the sensitivity is significantly improved. The inhibitory response in the hypothalamus after glucose loading is detected successfully with this method in the experiment on rat. Combined with the OTCA method, the time slice analysis method based on OTCA is effective on detecting when, where and which type of response will happen after stimulation, even if the fMRI signal is weak.

  14. a New Object Based Method for Automated Extraction of Urban Objects from Airborne Sensors Data

    Science.gov (United States)

    Moussa, A.; El-Sheimy, N.

    2012-07-01

    The classification of urban objects such as buildings, trees and roads from airborne sensors data is an essential step in numerous mapping and modelling applications. The automation of this step is greatly needed as the manual processing is costly and time consuming. The increasing availability of airborne sensors data such as aerial imagery and LIDAR data offers new opportunities to develop more robust approaches for automatic classification. These approaches should integrate these data sources that have different characteristics to exceed the accuracy achieved using any individual data source. The proposed approach presented in this paper fuses the aerial images data with single return LIDAR data to extract buildings and trees for an urban area. Object based analysis is adopted to segment the entire DSM data into objects based on height variation. These objects are preliminarily classified into buildings, trees, and ground. This primary classification is used to compute the height to ground for each object to help improve the accuracy of the second phase of classification. The overlapping perspective aerial images are used to build an ortho-photo to derive a vegetation index value for each object. The second phase of classification is performed based on the height to ground and the vegetation index of each object. The proposed approach has been tested using three areas in the centre of the city of Vaihingen provided by ISPRS test project on urban classification and 3D building reconstruction. These areas have historic buildings having rather complex shapes, few high-rising residential buildings that are surrounded by trees, and a purely residential area with small detached houses. The results of the proposed approach are presented based on a reference solution for evaluation purposes. The classification evaluation exhibits highly successful classification results of buildings class. The proposed approach follows the exact boundary of trees based on LIDAR data

  15. A robust method for determining water-extractable alkylphenol polyethoxylates in textile products by reaction-based headspace gas chromatography.

    Science.gov (United States)

    Zhang, Shu-Xin; Chai, Xin-Sheng; Huang, Bo-Xi; Mai, Xiao-Xia

    2015-08-07

    Alkylphenol polyethoxylates (APEO), surfactants used in the production of textiles, have the potential to move from the fabric to the skin of the person wearing the clothes, posing an inherent risk of adverse health consequences. Therefore, the textile industry needs a fast, robust method for determining aqueous extractable APEO in fabrics. The currently-favored HPLC methods are limited by the presence of a mixture of analytes (due to the molecular weight distribution) and a lack of analytical standards for quantifying results. As a result, it has not been possible to reach consensus on a standard method for the determination of APEO in textiles. This paper addresses these limitations through the use of reaction-based head space-gas chromatography (HS-GC). Specifically, water is used to simulate body sweat and extract APEO. HI is then used to react the ethoxylate chains to depolymerize the chains into iodoethane that is quantified through HS-GC, providing an estimate of the average amount of APEO in the clothing. Data are presented to justify the optimal operating conditions; i.e., water extraction at 60°C for 1h and reaction with a specified amount of HI in the headspace vial at 135°C for 4h. The results show that the HS-GC method has good precision (RSDtextile and related materials. As such, the method should be a strong candidate to become a standard method for such determinations.

  16. New method of extracting information of arterial oxygen saturation based on ∑|𝚫 |

    Science.gov (United States)

    Wenting, Dai; Ling, Lin; Gang, Li

    2017-04-01

    Noninvasive detection of oxygen saturation with near-infrared spectroscopy has been widely used in clinics. In order to further enhance its detection precision and reliability, this paper proposes a method of time domain absolute difference summation (∑|Δ|) based on a dynamic spectrum. In this method, the ratio of absolute differences between intervals of two differential sampling points at the same moment on logarithm photoplethysmography signals of red and infrared light was obtained in turn, and then they obtained a ratio sequence which was screened with a statistical method. Finally, use the summation of the screened ratio sequence as the oxygen saturation coefficient Q. We collected 120 reference samples of SpO2 and then compared the result of two methods, which are ∑|Δ| and peak-peak. Average root-mean-square errors of the two methods were 3.02% and 6.80%, respectively, in the 20 cases which were selected randomly. In addition, the average variance of Q of the 10 samples, which were obtained by the new method, reduced to 22.77% of that obtained by the peak-peak method. Comparing with the commercial product, the new method makes the results more accurate. Theoretical and experimental analysis indicates that the application of the ∑|Δ| method could enhance the precision and reliability of oxygen saturation detection in real time.

  17. Consideration of Direct Bit-Rate Measuring Method based on Extracting Envelope Signal

    Science.gov (United States)

    Otani, Akihito; Tsuda, Yukio; Igawa, Koji; Shida, Katsunori

    We previously developed an optical sampling oscilloscope (EDT-OSO) based on an envelope detection triggering method. This EDT-OSO can stably measure eye-diagram waveforms of signals exceeding 100Gbps without an external high-frequency clock signal. However far-end waveform measurements during a long distance place could not be realized. Because the EDT-OSO requires to link 10-MHz time bases in the EDT-OSO and a light under test (LUT) generator for synchrinizing. To overcom this drawbak, we developed a direct bit-rate measureing method for synchronizing both 10-MHz time bases vartually and a self-synchronized EDT-OSO (SSEDT-OSO) based on this method simulteniously. We confirmed that a bit-rate measurement repetability of the SSEDT-OSO was from 10-9 to 10-8 by evaluating a standard deviation and the SSEDT-OSO could measure an eye-diagram without linking 10-MHz time bases. This paper explains the basic principle for measuring the bit-rate of the LUT directly. Furthermore, we describe a configuration of the SSEDT-OSO and evalluation results.

  18. [Development of Determination Method of Fluoroquinolone Antibiotics in Sludge Based on Solid Phase Extraction and HPLC-Fluorescence Detection Analysis].

    Science.gov (United States)

    Dai, Xiao-hu; Xue, Yong-gang; Liu, Hua-jie; Dai, Ling-ling; Yan, Han; Li, Ning

    2016-04-15

    Fluoroquinolone antibiotics (FQs), as the common pharmaceuticals and personal care products (PPCPs), are widespread in the environment. FQs contained in wastewater would be ultimately enriched in sludge, posing a potential threat to the consequent sludge utilization. To optimize the analytical method applicable to the determination of FQs in sludge, the authors selected ofloxacin (OFL), norfioxacin (NOR), ciprofloxacin (CIP) and lomefloxacin (LOM) as the target FQs, and established a method which was based on cell lysis, FQs extraction with triethylamine/methanol/water solution, Solid Phase Extraction (SPE) and HPLC-Fluorescence Detection (FLD) determination. After the investigation, phosphoric acid-triethylamine was decided to be the buffer salt, and methanol was chosen as the organic mobile phase. The gradient fluorescence scanning strategy was proved to be necessary for the optimal detection as well. Furthermore, by the designed orthogonal experiments, the effects of the extraction materials, pH, and the eluents on the efficiency of SPE extraction were evaluated, by which the optimal extraction conditions were determined. As a result, FQs in liquid samples could be analyzed by utilizing HLB extraction cartridge, and the recovery rates of the four FQs were in the range of 82%-103%. As for solid samples, the recovery rates of the four FQs contained reached up to 71%-101%. Finally, the adsorptivity of the sludge from the different tanks ( anaerobic, anoxic and oxic tanks) was investigated, showing gradual decrease in the adsorption capacity, but all adsorbed over 90% of the EQs. This conclusion also confirmed that 50% removal of FQs in the domestic wastewater treatment plant was realized by sludge adsorption.

  19. Evaluation of DNA and RNA extraction methods.

    Science.gov (United States)

    Edwin Shiaw, C S; Shiran, M S; Cheah, Y K; Tan, G C; Sabariah, A R

    2010-06-01

    This study was done to evaluate various DNA and RNA extractions from archival FFPE tissues. A total of 30 FFPE blocks from the years of 2004 to 2006 were assessed with each modified and adapted method. Extraction protocols evaluated include the modified enzymatic extraction method (Method A), Chelex-100 extraction method (Method B), heat-induced retrieval in alkaline solution extraction method (Methods C and D) and one commercial FFPE DNA Extraction kit (Qiagen, Crawley, UK). For RNA extraction, 2 extraction protocols were evaluated including the enzymatic extraction method (Method 1), and Chelex-100 RNA extraction method (Method 2). Results show that the modified enzymatic extraction method (Method A) is an efficient DNA extraction protocol, while for RNA extraction, the enzymatic method (Method 1) and the Chelex-100 RNA extraction method (Method 2) are equally efficient RNA extraction protocols.

  20. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks

    Science.gov (United States)

    Qin, Cheng-Zhi; Wu, Xue-Wei; Jiang, Jing-Chao; Zhu, A.-Xing

    2016-08-01

    Application of digital terrain analysis (DTA), which is typically a modeling process involving workflow building, relies heavily on DTA domain knowledge of the match between the algorithm (and its parameter settings) and the application context (including the target task, the terrain in the study area, the DEM resolution, etc.), which is referred to as application-context knowledge. However, existing DTA-assisted tools often cannot use application-context knowledge because this type of DTA knowledge has not been formalized to be available for inference in these tools. This situation makes the DTA workflow-building process difficult for users, especially non-expert users. This paper proposes a case-based formalization for DTA application-context knowledge and a corresponding case-based reasoning method. A case in this context consists of a series of indices that formalize the DTA application-context knowledge and the corresponding similarity calculation methods for case-based reasoning. A preliminary experiment to determine the catchment area threshold for extracting drainage networks has been conducted to evaluate the performance of the proposed method. In the experiment, 124 cases of drainage network extraction (50 for evaluation and 74 for reasoning) were prepared from peer-reviewed journal articles. Preliminary evaluation shows that the proposed case-based method is a suitable way to use DTA application-context knowledge to achieve a marked reduction in the modeling burden for users.

  1. Evaluation and In-House Validation of Five DNA Extraction Methods for PCR-based STR Analysis of Bloodstained Denims

    Directory of Open Access Journals (Sweden)

    Henry Perdigon

    2004-06-01

    Full Text Available One type of crime scene evidence commonly submitted for analysis is bloodstain on denim. However, chemicals (e.g., indigo used to produce denim materials may co-purify with DNA and hence, affect subsequent DNA analysis. The present study compared five methods (e.g., standard organic, organic with hydrogen peroxide (H2O2, modified FTA™, organic/Chelex®-Centricon®, and QIAamp® DNA Mini Kit-based procedures for the isolation of blood DNA from denim. A Short Tandem Repeat (STR-based analysis across two to nine STR markers, namely, HUMvWA, HUMTH01, D8S306, HUMFES/FPS, HUMDHFRP2, HUMF13A01, HUMFGA, HUMTPOX, and HUMCSF1PO, was used to evaluate successful amplification of blood DNA extracted from light indigo, dark indigo, indigo-sulfur, pure indigo, sulfur-top, and sulfur-bottom denim materials. The results of the present study support the utility of organic/Chelex®-Centricon® and QIAamp® Kit procedures in extracting PCR-amplifiable DNA from five different types of denim materials for STR analysis. Furthermore, a solid-based method using FTA™ classic cards was modified to provide a simple, rapid, safe, and cost-effective procedure for extracting blood DNA from light, dark indigo and pure indigo denim materials. However, DNA eluted from bloodstained sulfur-dyed denims (e.g., sulfur-top and sulfur-bottom using FTA™ procedure was not readily amplifiable.

  2. Geometry dependence of RMT-based methods to extract the low-energy constants Sigma and F

    CERN Document Server

    Lehner, Christoph; Hashimoto, Shoji; Wettig, Tilo

    2011-01-01

    The lowest-order low-energy constants $\\Sigma$ and $F$ of chiral pertubation theory can be extracted from lattice data using methods based on the equivalence of random matrix theory (RMT) and QCD in the epsilon regime. We discuss how the choice of the lattice geometry affects such methods. In particular, we show how to minimize systematic deviations from RMT by an optimal choice of the lattice geometry in the case of two light quark flavors. We illustrate our findings by determining $\\Sigma$ and $F$ from lattice configurations with two dynamical overlap fermions generated by JLQCD, using two different lattice geometries.

  3. A Volterra series-based method for extracting target echoes in the seafloor mining environment.

    Science.gov (United States)

    Zhao, Haiming; Ji, Yaqian; Hong, Yujiu; Hao, Qi; Ma, Liyong

    2016-09-01

    The purpose of this research was to evaluate the applicability of the Volterra adaptive method to predict the target echo of an ultrasonic signal in an underwater seafloor mining environment. There is growing interest in mining of seafloor minerals because they offer an alternative source of rare metals. Mining the minerals cause the seafloor sediments to be stirred up and suspended in sea water. In such an environment, the target signals used for seafloor mapping are unable to be detected because of the unavoidable presence of volume reverberation induced by the suspended sediments. The detection of target signals in reverberation is currently performed using a stochastic model (for example, the autoregressive (AR) model) based on the statistical characterisation of reverberation. However, we examined a new method of signal detection in volume reverberation based on the Volterra series by confirming that the reverberation is a chaotic signal and generated by a deterministic process. The advantage of this method over the stochastic model is that attributions of the specific physical process are considered in the signal detection problem. To test the Volterra series based method and its applicability to target signal detection in the volume reverberation environment derived from the seafloor mining process, we simulated the real-life conditions of seafloor mining in a water filled tank of dimensions of 5×3×1.8m. The bottom of the tank was covered with 10cm of an irregular sand layer under which 5cm of an irregular cobalt-rich crusts layer was placed. The bottom was interrogated by an acoustic wave generated as 16μs pulses of 500kHz frequency. This frequency is demonstrated to ensure a resolution on the order of one centimetre, which is adequate in exploration practice. Echo signals were collected with a data acquisition card (PCI 1714 UL, 12-bit). Detection of the target echo in these signals was performed by both the Volterra series based model and the AR model

  4. Automated Extraction of Cranial Landmarks from Computed Tomography Data using a Combined Method of Knowledge and Pattern Based Approaches

    Directory of Open Access Journals (Sweden)

    Roshan N. RAJAPAKSE

    2016-03-01

    Full Text Available Accurate identification of anatomical structures from medical imaging data is a significant and critical function in the medical domain. Past studies in this context have mainly utilized two main approaches, the knowledge and learning methodologies based methods. Further, most of previous reported studies have focused on identification of landmarks from lateral X-ray Computed Tomography (CT data, particularly in the field of orthodontics. However, this study focused on extracting cranial landmarks from large sets of cross sectional CT slices using a combined method of the two aforementioned approaches. The proposed method of this study is centered mainly on template data sets, which were created using the actual contour patterns extracted from CT cases for each of the landmarks in consideration. Firstly, these templates were used to devise rules which are a characteristic of the knowledge based method. Secondly, the same template sets were employed to perform template matching related to the learning methodologies approach. The proposed method was tested on two landmarks, the Dorsum sellae and the Pterygoid plate, using CT cases of 5 subjects. The results indicate that, out of the 10 tests, the output images were within the expected range (desired accuracy in 7 instances and acceptable range (near accuracy for 2 instances, thus verifying the effectiveness of the combined template sets centric approach proposed in this study.

  5. A Method of Soil Salinization Information Extraction with SVM Classification Based on ICA and Texture Features

    Institute of Scientific and Technical Information of China (English)

    ZHANG Fei; TASHPOLAT Tiyip; KUNG Hsiang-te; DING Jian-li; MAMAT.Sawut; VERNER Johnson; HAN Gui-hong; GUI Dong-wei

    2011-01-01

    Salt-affected soils classification using remotely sensed images is one of the most common applications in remote sensing,and many algorithms have been developed and applied for this purpose in the literature.This study takes the Delta Oasis of Weigan and Kuqa Rivers as a study area and discusses the prediction of soil salinization from ETM+ Landsat data.It reports the Support Vector Machine(SVM) classification method based on Independent Component Analysis(ICA) and Texture features.Meanwhile,the letter introduces the fundamental theory of SVM algorithm and ICA,and then incorporates ICA and texture features.The classification result is compared with ICA-SVM classification,single data source SVM classification,maximum likelihood classification(MLC) and neural network classification qualitatively and quantitatively.The result shows that this method can effectively solve the problem of low accuracy and fracture classification result in single data source classification.It has high spread ability toward higher array input.The overall accuracy is 98.64%,which increases by 10.2% compared with maximum likelihood classification,even increases by 12.94% compared with neural net classification,and thus acquires good effectiveness.Therefore,the classification method based on SVM and incorporating the ICA and texture features can be adapted to RS image classification and monitoring of soil salinization.

  6. Microalgae based biorefinery: evaluation of oil extraction methods in terms of efficiency, costs, toxicity and energy in lab-scale

    OpenAIRE

    Ángel Darío González-Delgado; Viatcheslav Kafarov

    2013-01-01

    Several alternatives of microalgal metabolites extraction and transformation are being studied for achieving the total utilization of this energy crop of great interest worldwide. Microalgae oil extraction is a key stage in microalgal biodiesel production chains and their efficiency affects significantly the global process efficiency. In this study, a comparison of five oil extraction methods in lab-scale was made taking as additional parameters, besides extraction efficiency, the costs of me...

  7. Accurate extraction method for the FM response of tunable diode lasers based on wavelength modulation spectroscopy

    Science.gov (United States)

    Chen, J.; Hangauer, A.; Strzoda, R.; Amann, M.-C.

    2008-02-01

    An accurate wavelength modulation spectroscopy based method to measure the dynamics of the wavelength modulation behavior of tunable diode lasers is introduced in this paper. This method requires only standard equipment and a simple mechanical setup. Under the condition of a constant laser modulation current, the wavelength modulation amplitude can be determined by analysis of the distance between the two zero crossings of the measured second harmonic spectrum of gas absorption. When measuring at different modulation frequencies, the frequency response of the current-to-wavelength tuning coefficient can be obtained. The use of a frequency analyzer instead of a lock-in amplifier to obtain the second harmonic spectrum has two advantages: it provides a higher bandwidth and allows for very precise detection of the zero crossings because of the logarithmic output. The results exhibit very good agreement with a reference measurement performed with a fast FTIR Spectrometer.

  8. A Direct Method to Extract Transient Sub-Gap Density of State (DOS) Based on Dual Gate Pulse Spectroscopy

    Science.gov (United States)

    Dai, Mingzhi; Khan, Karim; Zhang, Shengnan; Jiang, Kemin; Zhang, Xingye; Wang, Weiliang; Liang, Lingyan; Cao, Hongtao; Wang, Pengjun; Wang, Peng; Miao, Lijing; Qin, Haiming; Jiang, Jun; Xue, Lixin; Chu, Junhao

    2016-06-01

    Sub-gap density of states (DOS) is a key parameter to impact the electrical characteristics of semiconductor materials-based transistors in integrated circuits. Previously, spectroscopy methodologies for DOS extractions include the static methods, temperature dependent spectroscopy and photonic spectroscopy. However, they might involve lots of assumptions, calculations, temperature or optical impacts into the intrinsic distribution of DOS along the bandgap of the materials. A direct and simpler method is developed to extract the DOS distribution from amorphous oxide-based thin-film transistors (TFTs) based on Dual gate pulse spectroscopy (GPS), introducing less extrinsic factors such as temperature and laborious numerical mathematical analysis than conventional methods. From this direct measurement, the sub-gap DOS distribution shows a peak value on the band-gap edge and in the order of 1017-1021/(cm3·eV), which is consistent with the previous results. The results could be described with the model involving both Gaussian and exponential components. This tool is useful as a diagnostics for the electrical properties of oxide materials and this study will benefit their modeling and improvement of the electrical properties and thus broaden their applications.

  9. A Direct Method to Extract Transient Sub-Gap Density of State (DOS) Based on Dual Gate Pulse Spectroscopy.

    Science.gov (United States)

    Dai, Mingzhi; Khan, Karim; Zhang, Shengnan; Jiang, Kemin; Zhang, Xingye; Wang, Weiliang; Liang, Lingyan; Cao, Hongtao; Wang, Pengjun; Wang, Peng; Miao, Lijing; Qin, Haiming; Jiang, Jun; Xue, Lixin; Chu, Junhao

    2016-06-14

    Sub-gap density of states (DOS) is a key parameter to impact the electrical characteristics of semiconductor materials-based transistors in integrated circuits. Previously, spectroscopy methodologies for DOS extractions include the static methods, temperature dependent spectroscopy and photonic spectroscopy. However, they might involve lots of assumptions, calculations, temperature or optical impacts into the intrinsic distribution of DOS along the bandgap of the materials. A direct and simpler method is developed to extract the DOS distribution from amorphous oxide-based thin-film transistors (TFTs) based on Dual gate pulse spectroscopy (GPS), introducing less extrinsic factors such as temperature and laborious numerical mathematical analysis than conventional methods. From this direct measurement, the sub-gap DOS distribution shows a peak value on the band-gap edge and in the order of 10(17)-10(21)/(cm(3)·eV), which is consistent with the previous results. The results could be described with the model involving both Gaussian and exponential components. This tool is useful as a diagnostics for the electrical properties of oxide materials and this study will benefit their modeling and improvement of the electrical properties and thus broaden their applications.

  10. New land-based method for surveying sandy shores and extracting DEMs: the INSHORE system.

    Science.gov (United States)

    Baptista, Paulo; Cunha, Telmo R; Matias, Ana; Gama, Cristina; Bernardes, Cristina; Ferreira, Oscar

    2011-11-01

    The INSHORE system (INtegrated System for High Operational REsolution in shore monitoring) is a land-base survey system designed and developed for the specific task of monitoring the evolution in time of sandy shores. This system was developed with two main objectives: (1) to produce highly accurate 3D coordinates of surface points (in the order of 0.02 to 0.03 m); and (2) to be extremely efficient in surveying a beach stretch of several kilometres. Previous tests have demonstrated that INSHORE systems fulfil such objectives. Now, the usefulness of the INSHORE system as a survey tool for the production of Digital Elevation Models (DEMs) of sandy shores is demonstrated. For this purpose, the comparison of DEMs obtained with the INSHORE system and with other relevant survey techniques is presented. This comparison focuses on the final DEM accuracy and also on the survey efficiency and its impact on the costs associated with regular monitoring programmes. The field survey method of the INSHORE system, based on profile networks, has a productivity of about 30 to 40 ha/h, depending on the beach surface characteristics. The final DEM precision, after interpolation of the global positioning system profile network, is approximately 0.08 to 0.12 m (RMS), depending on the profile network's density. Thus, this is a useful method for 3D representation of sandy shore surfaces and can permit, after interpolation, reliable calculations of volume and other physical parameters.

  11. A reliable and inexpensive method of nucleic acid extraction for the PCR-based detection of diverse plant pathogens.

    Science.gov (United States)

    Li, R; Mock, R; Huang, Q; Abad, J; Hartung, J; Kinard, G

    2008-12-01

    A reliable extraction method is described for the preparation of total nucleic acids from at least ten plant genera for subsequent detection of plant pathogens by PCR-based techniques. The method combined a modified CTAB (cetyltrimethylammonium bromide) extraction protocol with a semi-automatic homogenizer (FastPrep) instrument) for rapid sample processing and low potential of cross contamination. The method was applied to sample preparation for PCR-based detection of 28 different RNA and DNA viruses, six viroids, two phytoplasmas and two bacterial pathogens from a range of infected host plants including sweet potato, small fruits and fruit trees. The procedure is cost-effective and the qualities of the nucleic acid preparations are comparable to those prepared by commonly used commercial kits. The efficiency of the procedure permits processing of numerous samples and the use of a single nucleic acid preparation for testing both RNA and DNA genomes by PCR, making this an appealing method for testing multiple pathogens in certification and quarantine programs.

  12. A Hybrid method of face detection based on Feature Extraction using PIFR and Feature Optimization using TLBO

    Directory of Open Access Journals (Sweden)

    Kapil Verma

    2016-01-01

    Full Text Available In this paper we proposed a face detection method based on feature selection and feature optimization. Now in current research trend of biometric security used the process of feature optimization for better improvement of face detection technique. Basically our face consists of three types of feature such as skin color, texture and shape and size of face. The most important feature of face is skin color and texture of face. In this detection technique used texture feature of face image. For the texture extraction of image face used partial feature extraction function, these function is most promising shape feature analysis. For the selection of feature and optimization of feature used multi-objective TLBO. TLBO algorithm is population based searching technique and defines two constraints function for the process of selection and optimization. The proposed algorithm of face detection based on feature selection and feature optimization process. Initially used face image data base and passes through partial feature extractor function and these transform function gives a texture feature of face image. For the evaluation of performance our proposed algorithm implemented in MATLAB 7.8.0 software and face image used provided by Google face image database. For numerical analysis of result used hit and miss ratio. Our empirical evaluation of result shows better prediction result in compression of PIFR method of face detection.

  13. A simple and rapid method for calixarene-based selective extraction of bioactive molecules from natural products.

    Science.gov (United States)

    Segneanu, Adina-Elena; Damian, Daniel; Hulka, Iosif; Grozescu, Ioan; Salifoglou, Athanasios

    2016-03-01

    Natural products derived from medicinal plants have gained an important role in drug discovery due to their complex and abundant composition of secondary metabolites, with their structurally unique molecular components bearing a significant number of stereo-centers exhibiting high specificity linked to biological activity. Usually, the extraction process of natural products involves various techniques targeting separation of a specific class of compounds from a highly complex matrix. Aiding the process entails the use of well-defined and selective molecular extractants with distinctly configured structural attributes. Calixarenes conceivably belong to that class of molecules. They have been studied intensely over the years in an effort to develop new and highly selective receptors for biomolecules. These macrocycles, which display remarkable structural architectures and properties, could help usher a new approach in the efficient separation of specific classes of compounds from complex matrices in natural products. A simple and rapid such extraction method is presented herein, based on host-guest interaction(s) between a calixarene synthetic receptor, 4-tert-butyl-calix[6]arene, and natural biomolecular targets (amino acids and peptides) from Helleborus purpurascens and Viscum album. Advanced physicochemical methods (including GC-MS and chip-based nanoESI-MS analysis) suggest that the molecular structure and specifically the calixarene cavity size are closely linked to the nature of compounds separated. Incorporation of biomolecules and modification of the macrocyclic architecture during separation were probed and confirmed by scanning electronic microscopy and atomic force microscopy. The collective results project calixarene as a promising molecular extractant candidate, facilitating the selective separation of amino acids and peptides from natural products.

  14. Method and system to perform energy-extraction based active noise control

    Science.gov (United States)

    Kelkar, Atul (Inventor); Joshi, Suresh M. (Inventor)

    2009-01-01

    A method to provide active noise control to reduce noise and vibration in reverberant acoustic enclosures such as aircraft, vehicles, appliances, instruments, industrial equipment and the like is presented. A continuous-time multi-input multi-output (MIMO) state space mathematical model of the plant is obtained via analytical modeling and system identification. Compensation is designed to render the mathematical model passive in the sense of mathematical system theory. The compensated system is checked to ensure robustness of the passive property of the plant. The check ensures that the passivity is preserved if the mathematical model parameters are perturbed from nominal values. A passivity-based controller is designed and verified using numerical simulations and then tested. The controller is designed so that the resulting closed-loop response shows the desired noise reduction.

  15. A sentence scoring method for extractive text summarization based on Natural language queries

    Directory of Open Access Journals (Sweden)

    R.V.V Murali Krishna

    2012-05-01

    Full Text Available The developments in storage devices and computer networks have given the scope for the world to become a paperless community, for example Digital news paper systems and digital library systems. A paperless community is heavily dependent on information retrieval systems. Text summarization is an area that supports the cause of information retrieval systems by helping the users to get their needed information. This paper discusses on the relevance of using traditional stoplists for text summarization and the use of Statistical analysis for sentence scoring. A new methodology is proposed for implementing the stoplist concept and statistical analysis concept based on parts of speech tagging. A sentence scoring mechanism has been developed by combining the above methodologies with semantic analysis. This sentence scoring method has given good results when applied to find out the relation between natural language queries and the sentences in a document.

  16. Polymer-based alternative method to extract bromelain from pineapple peel waste.

    Science.gov (United States)

    Novaes, Letícia Celia de Lencastre; Ebinuma, Valéria de Carvalho Santos; Mazzola, Priscila Gava; Pessoa, Adalberto

    2013-01-01

    Bromelain is a mixture of proteolytic enzymes present in all tissues of the pineapple (Ananas comosus Merr.), and it is known for its clinical therapeutic applications, food processing, and as a dietary supplement. The use of pineapple waste for bromelain extraction is interesting from both an environmental and a commercial point of view, because the protease has relevant clinical potential. We aimed to study the optimization of bromelain extraction from pineapple waste, using the aqueous two-phase system formed by polyethylene glycol (PEG) and poly(acrylic acid). In this work, bromelain partitioned preferentially to the top/PEG-rich phase and, in the best condition, achieved a yield of 335.27% with a purification factor of 25.78. The statistical analysis showed that all variables analyzed were significant to the process.

  17. A Comparison of Protein Extraction Methods Suitable for Gel-Based Proteomics Studies of Aphid Proteins

    Science.gov (United States)

    Few attempts have been made to methodically compare protein isolation methods from insect tissues for proteomic studies. To address this, we compared qualitative and quantitative differences among three methods for isolation, purification and solubilization of insect proteins. Schizaphis graminum,...

  18. Scan Profiles Based Method for Segmentation and Extraction of Planar Objects in Mobile Laser Scanning Point Clouds

    Science.gov (United States)

    Nguyen, Hoang Long; Belton, David; Helmholz, Petra

    2016-06-01

    The demand for accurate spatial data has been increasing rapidly in recent years. Mobile laser scanning (MLS) systems have become a mainstream technology for measuring 3D spatial data. In a MLS point cloud, the point clouds densities of captured point clouds of interest features can vary: they can be sparse and heterogeneous or they can be dense. This is caused by several factors such as the speed of the carrier vehicle and the specifications of the laser scanner(s). The MLS point cloud data needs to be processed to get meaningful information e.g. segmentation can be used to find meaningful features (planes, corners etc.) that can be used as the inputs for many processing steps (e.g. registration, modelling) that are more difficult when just using the point cloud. Planar features are dominating in manmade environments and they are widely used in point clouds registration and calibration processes. There are several approaches for segmentation and extraction of planar objects available, however the proposed methods do not focus on properly segment MLS point clouds automatically considering the different point densities. This research presents the extension of the segmentation method based on planarity of the features. This proposed method was verified using both simulated and real MLS point cloud datasets. The results show that planar objects in MLS point clouds can be properly segmented and extracted by the proposed segmentation method.

  19. SCAN PROFILES BASED METHOD FOR SEGMENTATION AND EXTRACTION OF PLANAR OBJECTS IN MOBILE LASER SCANNING POINT CLOUDS

    Directory of Open Access Journals (Sweden)

    H. L. Nguyen

    2016-06-01

    Full Text Available The demand for accurate spatial data has been increasing rapidly in recent years. Mobile laser scanning (MLS systems have become a mainstream technology for measuring 3D spatial data. In a MLS point cloud, the point clouds densities of captured point clouds of interest features can vary: they can be sparse and heterogeneous or they can be dense. This is caused by several factors such as the speed of the carrier vehicle and the specifications of the laser scanner(s. The MLS point cloud data needs to be processed to get meaningful information e.g. segmentation can be used to find meaningful features (planes, corners etc. that can be used as the inputs for many processing steps (e.g. registration, modelling that are more difficult when just using the point cloud. Planar features are dominating in manmade environments and they are widely used in point clouds registration and calibration processes. There are several approaches for segmentation and extraction of planar objects available, however the proposed methods do not focus on properly segment MLS point clouds automatically considering the different point densities. This research presents the extension of the segmentation method based on planarity of the features. This proposed method was verified using both simulated and real MLS point cloud datasets. The results show that planar objects in MLS point clouds can be properly segmented and extracted by the proposed segmentation method.

  20. High dimension feature extraction based visualized SOM fault diagnosis method and its application in p-xylene oxidation process☆

    Institute of Scientific and Technical Information of China (English)

    Ying Tian; Wenli Du; Feng Qian

    2015-01-01

    Purified terephthalic acid (PTA) is an important chemical raw material. P-xylene (PX) is transformed to terephthalic acid (TA) through oxidation process and TA is refined to produce PTA. The PX oxidation reaction is a complex process involving three-phase reaction of gas, liquid and solid. To monitor the process and to im-prove the product quality, as wel as to visualize the fault type clearly, a fault diagnosis method based on self-organizing map (SOM) and high dimensional feature extraction method, local tangent space alignment (LTSA), is proposed. In this method, LTSA can reduce the dimension and keep the topology information simultaneously, and SOM distinguishes various states on the output map. Monitoring results of PX oxidation reaction process in-dicate that the LTSA–SOM can wel detect and visualize the fault type.

  1. A fast and robust new pore-network extraction method based on hybrid median axis and maximal inscribed ball techniques

    Science.gov (United States)

    Timofey, Sizonenko; Karsanina, Marina; Byuk, Irina; Gerke, Kirill

    2016-04-01

    To characterize pore structure relevant to single and multi-phase flow modelling it is of special interest to extract topology of the pore space. This is usually achieved using so-called pore-network models. Such models are useful not only to characterize pore space and pore size distributions, but also provide means to simulate flow and transport with very limited computational resources compared to other pore-scale modelling techniques. The main drawback of the pore-network approach is that they have first to simplify the pore space geometry. This crucial step is both time consuming and prone to numerous errors. Two most popular methods based on median axis or inscribed maximal balls have their own strong sides and disadvantages. To address aforementioned problems related to pore-network extraction here we propose a novel method utilizing the advantages of both popular approaches. Combining two algorithms resulted in much faster and robust extraction methodology. Moreover, we have found that accurate topology representation requires extension of the conventional pore-body and pore-throat classification. We test our new methodology using pore structures with "analytical solutions" such as different sphere packs. In addition, we rigorously compare it against inscribed maximal balls methodology's results using numerous 3D images of sandstone and carbonate rocks, soils and some other porous materials. Another verification includes permeability calculations which are also compared both against lab data and voxel based pore-scale modelling simulations. This work was partially supported by RFBR grant 15-34-20989 (X-ray tomography and image fusion) and RSF grant 14-17-00658 (image segmentation and pore-scale modelling).

  2. Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform

    Directory of Open Access Journals (Sweden)

    Huile Xu

    2016-12-01

    Full Text Available Wearable sensors-based human activity recognition introduces many useful applications and services in health care, rehabilitation training, elderly monitoring and many other areas of human interaction. Existing works in this field mainly focus on recognizing activities by using traditional features extracted from Fourier transform (FT or wavelet transform (WT. However, these signal processing approaches are suitable for a linear signal but not for a nonlinear signal. In this paper, we investigate the characteristics of the Hilbert-Huang transform (HHT for dealing with activity data with properties such as nonlinearity and non-stationarity. A multi-features extraction method based on HHT is then proposed to improve the effect of activity recognition. The extracted multi-features include instantaneous amplitude (IA and instantaneous frequency (IF by means of empirical mode decomposition (EMD, as well as instantaneous energy density (IE and marginal spectrum (MS derived from Hilbert spectral analysis. Experimental studies are performed to verify the proposed approach by using the PAMAP2 dataset from the University of California, Irvine for wearable sensors-based activity recognition. Moreover, the effect of combining multi-features vs. a single-feature are investigated and discussed in the scenario of a dependent subject. The experimental results show that multi-features combination can further improve the performance measures. Finally, we test the effect of multi-features combination in the scenario of an independent subject. Our experimental results show that we achieve four performance indexes: recall, precision, F-measure, and accuracy to 0.9337, 0.9417, 0.9353, and 0.9377 respectively, which are all better than the achievements of related works.

  3. Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform.

    Science.gov (United States)

    Xu, Huile; Liu, Jinyi; Hu, Haibo; Zhang, Yi

    2016-12-02

    Wearable sensors-based human activity recognition introduces many useful applications and services in health care, rehabilitation training, elderly monitoring and many other areas of human interaction. Existing works in this field mainly focus on recognizing activities by using traditional features extracted from Fourier transform (FT) or wavelet transform (WT). However, these signal processing approaches are suitable for a linear signal but not for a nonlinear signal. In this paper, we investigate the characteristics of the Hilbert-Huang transform (HHT) for dealing with activity data with properties such as nonlinearity and non-stationarity. A multi-features extraction method based on HHT is then proposed to improve the effect of activity recognition. The extracted multi-features include instantaneous amplitude (IA) and instantaneous frequency (IF) by means of empirical mode decomposition (EMD), as well as instantaneous energy density (IE) and marginal spectrum (MS) derived from Hilbert spectral analysis. Experimental studies are performed to verify the proposed approach by using the PAMAP2 dataset from the University of California, Irvine for wearable sensors-based activity recognition. Moreover, the effect of combining multi-features vs. a single-feature are investigated and discussed in the scenario of a dependent subject. The experimental results show that multi-features combination can further improve the performance measures. Finally, we test the effect of multi-features combination in the scenario of an independent subject. Our experimental results show that we achieve four performance indexes: recall, precision, F-measure, and accuracy to 0.9337, 0.9417, 0.9353, and 0.9377 respectively, which are all better than the achievements of related works.

  4. A Method of Three-Dimensional Recording of Mandibular Movement Based on Two-Dimensional Image Feature Extraction.

    Directory of Open Access Journals (Sweden)

    Fusong Yuan

    Full Text Available To develop a real-time recording system based on computer binocular vision and two-dimensional image feature extraction to accurately record mandibular movement in three dimensions.A computer-based binocular vision device with two digital cameras was used in conjunction with a fixed head retention bracket to track occlusal movement. Software was developed for extracting target spatial coordinates in real time based on two-dimensional image feature recognition. A plaster model of a subject's upper and lower dentition were made using conventional methods. A mandibular occlusal splint was made on the plaster model, and then the occlusal surface was removed. Temporal denture base resin was used to make a 3-cm handle extending outside the mouth connecting the anterior labial surface of the occlusal splint with a detection target with intersecting lines designed for spatial coordinate extraction. The subject's head was firmly fixed in place, and the occlusal splint was fully seated on the mandibular dentition. The subject was then asked to make various mouth movements while the mandibular movement target locus point set was recorded. Comparisons between the coordinate values and the actual values of the 30 intersections on the detection target were then analyzed using paired t-tests.The three-dimensional trajectory curve shapes of the mandibular movements were consistent with the respective subject movements. Mean XYZ coordinate values and paired t-test results were as follows: X axis: -0.0037 ± 0.02953, P = 0.502; Y axis: 0.0037 ± 0.05242, P = 0.704; and Z axis: 0.0007 ± 0.06040, P = 0.952. The t-test result showed that the coordinate values of the 30 cross points were considered statistically no significant. (P<0.05.Use of a real-time recording system of three-dimensional mandibular movement based on computer binocular vision and two-dimensional image feature recognition technology produced a recording accuracy of approximately ± 0.1 mm, and is

  5. EXTRACTIVE SPECTROPHOTOMETRIC METHOD FOR THE ...

    African Journals Online (AJOL)

    B. S. Chandravanshi

    ketone (MIBK) extractable yellow nickel(II)-methyldithiocarbamate complex at 380 nm through ... The method has been applied to the analysis of carbaryl in its ...... Farahani, G.H.N.; Zakaria, Z.; Kuntom, A.; Omar, D.; Ismail, B.S. Adv. Environ.

  6. Polarimetry-based method to extract geometry-independent metrics of tissue anisotropy.

    Science.gov (United States)

    Wallenburg, Marika A; Wood, Michael F G; Ghosh, Nirmalya; Vitkin, I Alex

    2010-08-01

    Recently, we have used polarimetry as a method for assessing the linear retardance of infarcted myocardium. While linear retardance reflects tissue anisotropy, experimental geometry has a confounding effect due to dependence of the linear retardance on the orientation of the sample with respect to the probing beam. Here, polarimetry imaging of an 8mm diameter birefringent polystyrene sphere of known anisotropy axis was used to test a dual-projection method by which the anisotropy axis and its true magnitude can be reconstructed, thus eliminating the confounding effect of anisotropy axis orientation. Feasibility is demonstrated in ex-vivo tissue imaging.

  7. Validation of a DNA IQ-based extraction method for TECAN robotic liquid handling workstations for processing casework.

    Science.gov (United States)

    Frégeau, Chantal J; Lett, C Marc; Fourney, Ron M

    2010-10-01

    A semi-automated DNA extraction process for casework samples based on the Promega DNA IQ™ system was optimized and validated on TECAN Genesis 150/8 and Freedom EVO robotic liquid handling stations configured with fixed tips and a TECAN TE-Shake™ unit. The use of an orbital shaker during the extraction process promoted efficiency with respect to DNA capture, magnetic bead/DNA complex washes and DNA elution. Validation studies determined the reliability and limitations of this shaker-based process. Reproducibility with regards to DNA yields for the tested robotic workstations proved to be excellent and not significantly different than that offered by the manual phenol/chloroform extraction. DNA extraction of animal:human blood mixtures contaminated with soil demonstrated that a human profile was detectable even in the presence of abundant animal blood. For exhibits containing small amounts of biological material, concordance studies confirmed that DNA yields for this shaker-based extraction process are equivalent or greater to those observed with phenol/chloroform extraction as well as our original validated automated magnetic bead percolation-based extraction process. Our data further supports the increasing use of robotics for the processing of casework samples. Crown Copyright © 2009. Published by Elsevier Ireland Ltd. All rights reserved.

  8. Apparatus and methods for hydrocarbon extraction

    Science.gov (United States)

    Bohnert, George W.; Verhulst, Galen G.

    2016-04-26

    Systems and methods for hydrocarbon extraction from hydrocarbon-containing material. Such systems and methods relate to extracting hydrocarbon from hydrocarbon-containing material employing a non-aqueous extractant. Additionally, such systems and methods relate to recovering and reusing non-aqueous extractant employed for extracting hydrocarbon from hydrocarbon-containing material.

  9. Development of a new extraction method based on counter current salting-out homogenous liquid-liquid extraction followed by dispersive liquid-liquid microextraction: Application for the extraction and preconcentration of widely used pesticides from fruit juices.

    Science.gov (United States)

    Farajzadeh, Mir Ali; Feriduni, Behruz; Mogaddam, Mohammad Reza Afshar

    2016-01-01

    In this paper, a new extraction method based on counter current salting-out homogenous liquid-liquid extraction (CCSHLLE) followed by dispersive liquid-liquid microextraction (DLLME) has been developed for the extraction and preconcentration of widely used pesticides in fruit juice samples prior to their analysis by gas chromatography-flame ionization detection (GC-FID). In this method, initially, sodium chloride as a separation reagent is filled into a small column and a mixture of water (or fruit juice) and acetonitrile is passed through the column. By passing the mixture sodium chloride is dissolved and the fine droplets of acetonitrile are formed due to salting-out effect. The produced droplets go up through the remained mixture and collect as a separated layer. Then, the collected organic phase (acetonitrile) is removed with a syringe and mixed with 1,1,2,2-tetrachloroethane (extraction solvent at µL level). In the second step, for further enrichment of the analytes the above mixture is injected into 5 mL de-ionized water placed in a test tube with conical bottom in order to dissolve acetonitrile into water and to achieve a sedimented phase at µL-level volume containing the enriched analytes. Under the optimal extraction conditions (extraction solvent, 1.5 mL acetonitrile; pH, 7; flow rate, 0.5 mL min(-1); preconcentration solvent, 20 µL 1,1,2,2-tetrachloroethane; NaCl concentration; 5%, w/w; and centrifugation rate and time, 5000 rpm and 5 min, respectively), the extraction recoveries and enrichment factors ranged from 87% to 96% and 544 to 600, respectively. Repeatability of the proposed method, expressed as relative standard deviations, ranged from 2% to 6% for intra-day (n=6, C=250 or 500 µg L(-1)) and inter-days (n=4, C=250 or 500 µg L(-1)) precisions. Limits of detection are obtained between 2 and 12 µg L(-1). Finally, the proposed method is applied for the determination of the target pesticide residues in the juice samples.

  10. GIS-based multifractal/inversion methods for feature extraction and applications in anomaly identification for mineral exploration

    Science.gov (United States)

    Li, Qingmou

    Mineralization is often intertwined with other processes spatially. This makes it difficult to extract features for mineral exploration. However, the existing techniques are far from adequate in support of this purpose. A series of multifractal feature extraction techniques in spatial, Walsh, eigenspace domains and other methods were developed in a GIS environment for mineral prospecting in this thesis. Techniques in spatial domain including spatial moments, gradient parameters, and local singularity are reviewed and implemented with the emphases on singularity analysis which extracts features on the basis of local self-similarity and spatial association property. A new multifractal method (W-A) was developed in the Walsh domain. W-A model is demonstrated to be advantageous for extracting abruptly change features. This advantage comes from its square wave functions of Walsh transformation (WT). A new multifractal singular-value decomposition (MSVD) model is developed on the basis of scale invariance in eigen-space for features extraction. The eigenimage and power spectrum structure of the studied area are investigated. The extracted feature using MSVD method characterizes rich textures, particularly capable of extracting weak and subtle features from data with strong influence of background and (fault) sharp change values. New Gauss inversion (GI) and hierarchical decomposition methods have been developed for distinguishing probability density function (PDF) from mixing populations. The forward modeling, the least square (LS) segmentation, and the GI are compared. These methods were used in estimating the spatial and entropy distributions. These features have rich textures portraying underground intrusions that are related with the hydrothermal mineral alteration in the study area. The data from southwestern Nova Scotia, Canada, were processed. The results have shown that the features extracted using the techniques developed are associated with a prior mineral

  11. Web-Based Information Extraction Technology

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Information extraction techniques on the Web are the current research hotspot. Now many information extraction techniques based on different principles have appeared and have different capabilities. We classify the existing information extraction techniques by the principle of information extraction and analyze the methods and principles of semantic information adding, schema defining,rule expression, semantic items locating and object locating in the approaches. Based on the above survey and analysis,several open problems are discussed.

  12. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.

    Science.gov (United States)

    Siuly, Siuly; Li, Yan

    2015-04-01

    The aim of this study is to design a robust feature extraction method for the classification of multiclass EEG signals to determine valuable features from original epileptic EEG data and to discover an efficient classifier for the features. An optimum allocation based principal component analysis method named as OA_PCA is developed for the feature extraction from epileptic EEG data. As EEG data from different channels are correlated and huge in number, the optimum allocation (OA) scheme is used to discover the most favorable representatives with minimal variability from a large number of EEG data. The principal component analysis (PCA) is applied to construct uncorrelated components and also to reduce the dimensionality of the OA samples for an enhanced recognition. In order to choose a suitable classifier for the OA_PCA feature set, four popular classifiers: least square support vector machine (LS-SVM), naive bayes classifier (NB), k-nearest neighbor algorithm (KNN), and linear discriminant analysis (LDA) are applied and tested. Furthermore, our approaches are also compared with some recent research work. The experimental results show that the LS-SVM_1v1 approach yields 100% of the overall classification accuracy (OCA), improving up to 7.10% over the existing algorithms for the epileptic EEG data. The major finding of this research is that the LS-SVM with the 1v1 system is the best technique for the OA_PCA features in the epileptic EEG signal classification that outperforms all the recent reported existing methods in the literature. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  13. Comparison of three magnetic-bead-based RNA extraction methods for detection of cucumber green mottle mosaic virus by real-time RT-PCR.

    Science.gov (United States)

    Zhao, Xiaoli; Zhou, Qi; Zhang, Lijie; Yan, Wenlong; Sun, Ning; Liang, Xinmiao; Deng, Congliang

    2015-07-01

    To determine the efficiency of RNA extraction methods based on magnetic beads, three different bead-based methods (one using silica-coated magnetic beads [SMNP], one using immunomagnetic beads conjugated to a specific antibody [IMB], and one using magnetic beads to nonspecifically adsorb virions [MNP]) were compared with the TRIzol method for the extraction of cucumber green mottle mosaic virus (CGMMV) RNA from cucumber leaves by real-time RT-PCR. The results indicated that the extraction efficiency of the SMNP method was 10 times higher than those of the IMB and MNP methods and 100 times higher than that of the TRIzol method. Therefore, the SMNP method could be considered for use in quarantine measures for the prevention and control of the disease caused by CGMMV.

  14. A novel method: ionic liquid-based ultrasound-assisted extraction of polyphenols from Chinese purple yam.

    Science.gov (United States)

    Zhang, Junhong; Zong, Aizhen; Xu, Tongcheng; Zhan, Ping; Liu, Lina; Qiu, Bin; Liu, Wei; Jia, Min; Du, Fangling; Tian, Honglei

    2017-08-24

    Chinese purple yam is famous for therapeutic and nutritional values in lowering blood glucose, blood pressure and even preventing and treating cardiovascular diseases. However, traditional extraction techniques for the functional polyphenolic compounds mostly utilise unfriendly organic solvent and easily cause degradation of polyphenols. In this study, a novel ionic liquid-based ultrasound-assisted extraction (IL-UAE) technique was utilised to obtain polyphenols. The optimal extraction condition included: solid-liquid ratio (0.05 g/mL), ionic liquid concentration (1.05 M), extraction temperature (67°C) and ultrasonic time (37 min). The maximum free radical scavenging activity (86.21%) and total antioxidant activity (2.21 mM) were achieved and matched well with the predicted values, superior to that of the extract from regular ethanol-based UAE. IL-UAE could be a rapid and green technique for efficient extraction of polyphenols from purple yam with low solvent consumption and few structural deterioration, exhibiting application potential in food and pharmaceutical industries.

  15. Qualitative and quantitative analyses of Compound Danshen extract based on (1)H NMR method and its application for quality control.

    Science.gov (United States)

    Yan, Kai-Jing; Chu, Yang; Huang, Jian-Hua; Jiang, Miao-Miao; Li, Wei; Wang, Yue-Fei; Huang, Hui-Yong; Qin, Yu-Hui; Ma, Xiao-Hui; Zhou, Shui-Ping; Sun, Henry; Wang, Wei

    2016-11-30

    In this study, a new approach using (1)H NMR spectroscopy combined with chemometrics method was developed for qualitative and quantitative analyses of extracts of Compound Danshen Dripping Pills (CDDP). For the qualitative analysis, some metabolites presented in Compound Danshen extract (CDE, extraction intermediate of CDDP) were detected, including phenolic acids, saponins, saccharides, organic acids and amino acids, by the proposed (1)H NMR method, and metabolites profiles were further analyzed by selected chemometrics algorithms to define the threshold values for product quality evaluation. Moreover, three main phenolic acids (danshensu, salvianolic acid B, and procatechuic aldehyde) in CDE were determined simultaneously, and method validation in terms of linearity, precision, repeatability, accuracy, and stability of the dissolved target compounds in solution was performed. The average recoveries varied between 84.20% and 110.75% while the RSDs were below 6.34% for the three phenolic acids. This (1)H NMR method offers an integral view of the extract composition, allows the qualitative and quantitative analysis of CDDP, and has the potential to be a supplementary tool to UPLC/HPLC for quality assessment of Chinese herbal medicines.

  16. HPV Direct Flow CHIP: a new human papillomavirus genotyping method based on direct PCR from crude-cell extracts.

    Science.gov (United States)

    Herraez-Hernandez, Elsa; Alvarez-Perez, Martina; Navarro-Bustos, Gloria; Esquivias, Javier; Alonso, Sonia; Aneiros-Fernandez, Jose; Lacruz-Pelea, Cesar; Sanchez-Aguera, Magdalena; Santamaria, Javier Saenz; de Antonio, Jesus Chacon; Rodriguez-Peralto, Jose Luis

    2013-10-01

    HPV Direct Flow CHIP is a newly developed test for identifying 18 high-risk and 18 low-risk human papillomavirus (HPV) genotypes. It is based on direct PCR from crude-cell extracts, automatic flow-through hybridization, and colorimetric detection. The aim of this study was to evaluate the performance of HPV Direct Flow CHIP in the analysis of 947 samples from routine cervical screening or the follow-up of abnormal Pap smears. The specimens were dry swab samples, liquid-based cytology samples, or formalin-fixed paraffin-embedded tissues. The genotype distribution was in agreement with known epidemiological data for the Spanish population. Three different subgroups of the samples were also tested by Linear Array (LA) HPV Genotyping Test (n=108), CLART HPV2 (n=82), or Digene Hybrid Capture 2 (HC2) HPV DNA Test (n=101). HPV positivity was 73.6% by HPV Direct Flow CHIP versus 67% by LA, 65.9% by HPV Direct Flow CHIP versus 59.8% by CLART, and 62.4% by HPV Direct Flow CHIP versus 42.6% by HC2. HPV Direct Flow CHIP showed a positive agreement of 88.6% with LA (k=0.798), 87.3% with CLART (k=0.818), and 68.2% with HC2 (k=0.618). In conclusion, HPV Direct Flow CHIP results were comparable with those of the other methods tested. Although further investigation is needed to compare the performance of this new test with a gold-standard reference method, these preliminary findings evidence the potential value of HPV Direct Flow CHIP in HPV vaccinology and epidemiology studies.

  17. A comparison of six methods for genomic DNA extraction suitable for PCR-based genotyping applications using ovine milk samples

    OpenAIRE

    Psifidi, Androniki; Dovas, Chrysostomos I.; Banos, Georgios

    2010-01-01

    Isolation of amplifiable genomic DNA is a prerequisite for the genetic assessment of diseases and disease susceptibility in farm animals. Milk somatic cells are a practical, animal friendly and cost-effective source of genomic DNA in milking ruminants. In this study, six different DNA extraction methods were optimized, evaluated and compared for the isolation of DNA from ovine milk samples. Methods I and 2 were direct applications of two commercial kits, Nucleospin (R) Blood and Nucleospin (R...

  18. The impact of different methods of DNA extraction on microbial community measures of BALF samples based on metagenomic data.

    Science.gov (United States)

    Wen, Yan; Xiao, Fei; Wang, Chen; Wang, Zhen

    2016-01-01

    It is a challenge to find a better microorganisms DNA extraction method for samples taken from the lower airways for metagenomic sequencing, as the concentrations of bacteria in the alveoli and small airways are likely considerably less than that of the mouth or lower digestive tract. Background DNA from the host, and extraction biases can significantly interfere with microbiota assessment and increase the cost of sequencing. This study aimed to develop an optimized DNA extraction method, which would enable a higher concentration of microbial DNA to be extracted from the samples. We compared the microbiota profiles of the lower airway communities in twelve individuals with IIP. DNA was extracted using three different extraction methods: QIAamp UCP PurePathogen Blood Kit named kit3 in this study, QIAamp UCP Pathogen Mini Kit named kit2, and QIAamp DNA Microbiome Kit named kit1. DNA libraries were constructed according to the manufacturer's instructions (Illumina). The same workflows from Illumina were used to perform cluster generation, template hybridization, isothermal amplification, linearization, blocking, denaturing, and hybridization of the sequencing primers. Raw data was uploaded to MG-RAST v3 and analyzed. A great number of bacterium inhabits the lower airways of patients with IIP, though there is no airway infection. More bacterium was found in mouth or upper airway. DNA concentrations of DNA samples isolated with kit1 with Benzonase were significantly lower than those isolated with the other two kits for BALF and mouthwash samples. Moreover, the ratio of human genome in clean reads of samples isolated with kit1 with Benzonase was remarkably smaller than those isolated with kit2 and kit3. The relative abundance of total bacteria, the total number of taxa, and the relative abundance of taxa in BALF samples as opposed to mouthwash samples with kit1 were significantly higher than for those extracted the other kits. A microbial DNA extraction method with

  19. An effective method for enhancing metal-ions' selectivity of ionic liquid-based extraction system: Adding water-soluble complexing agent.

    Science.gov (United States)

    Sun, Xiao Qi; Peng, Bo; Chen, Ji; Li, De Qian; Luo, Fang

    2008-01-15

    Selective extraction-separation of yttrium(III) from heavy lanthanides into 1-octyl-3-methylimidazolium hexafluorophosphate ([C(8)mim][PF(6)]) containing Cyanex 923 was achieved by adding a water-soluble complexing agent (EDTA) to aqueous phase. The simple and environmentally benign complexing method was proved to be an effective strategy for enhancing the selectivity of [C(n)mim][PF(6)]/[Tf(2)N]-based extraction system without increasing the loss of [C(n)mim](+).

  20. Study on the extraction method of tidal flat area in northern Jiangsu Province based on remote sensing waterlines

    Science.gov (United States)

    Zhang, Yuanyuan; Gao, Zhiqiang; Liu, Xiangyang; Xu, Ning; Liu, Chaoshun; Gao, Wei

    2016-09-01

    Reclamation caused a significant dynamic change in the coastal zone, the tidal flat zone is an unstable reserve land resource, it has important significance for its research. In order to realize the efficient extraction of the tidal flat area information, this paper takes Rudong County in Jiangsu Province as the research area, using the HJ1A/1B images as the data source, on the basis of previous research experience and literature review, the paper chooses the method of object-oriented classification as a semi-automatic extraction method to generate waterlines. Then waterlines are analyzed by DSAS software to obtain tide points, automatic extraction of outer boundary points are followed under the use of Python to determine the extent of tidal flats in 2014 of Rudong County, the extraction area was 55182hm2, the confusion matrix is used to verify the accuracy and the result shows that the kappa coefficient is 0.945. The method could improve deficiencies of previous studies and its available free nature on the Internet makes a generalization.

  1. The extraction of land use around Grand Canal in Nanwang based on Quick Bird image using object-oriented method

    Science.gov (United States)

    Zhu, Chunhua; Nie, Yueping

    2008-12-01

    The Grand Canal of China is the longest ancient canal in the world. It is an astonishingly huge project in the history of Chinese civilization. However, some sections have already disappeared as the development of society and change of environment. It can be detected by using very high resolution image. Object-oriented method based on image segmentation is being actively studied in the high resolution image process and interpretation to extract a variety of thematic information. It includes two consecutive processes: first the image is subdivided into separated regions according to the spectral and spatial heterogeneity in the image segmentation process and then the objects are assigned to a specific class according to the class's detailed description in the image classification process. The result shows that the object-oriented approach can realize the full potential of the very high resolution image, have higher accuracy compared with traditional classification and allow quantitative analysis of land use, simplification of Remote Sensing and GIS integration.

  2. Phosphopeptide enrichment: Development of magnetic solid phase extraction method based on polydopamine coating and Ti(4+)-IMAC.

    Science.gov (United States)

    Piovesana, Susy; Capriotti, Anna Laura; Cavaliere, Chiara; Ferraris, Francesca; Samperi, Roberto; Ventura, Salvatore; Laganà, Aldo

    2016-02-25

    Protein post translational modifications currently represent one of the main challenges with proteomic analysis, due to the important biological role they play within cells. Protein phosphorylation is one of the most important, with several approaches developed for phosphopeptides enrichment and analysis, essential for comprehensive phosphoproteomic analysis. However, the development of new materials for phosphopeptides enrichment may overcome previous drawbacks and improve enrichment of such peptides. In this regard, new magnetic stationary phases based on polydopamine coating and Ti(4+) immobilization exploit the potential of IMAC enrichment and couple it with the versatility of magnetic solid phase extraction. In this work the use of such stationary phase was extended from the MALDI proof of concept stage with the development of an optimized method for phosphopeptides enrichment compatible with typical shotgun proteomics experimental workflows. Different loading and elution buffers were tested to improve phosphopeptides recovery and enrichment selectivity. Finally, the analysis of isolated peptides pointed out that polydopamine alone is an ideal support matrix for polar post translational modifications because it enables to reduce unspecific binding and preferentially binds hydrophilic peptides. Copyright © 2016 Elsevier B.V. All rights reserved.

  3. Rapid analytical method for the determination of pesticide residues in sunflower seeds based on focused microwave-assisted Soxhlet extraction prior to gas chromatography-tandem mass spectrometry.

    Science.gov (United States)

    Prados-Rosales, R C; Luque García, J L; Luque de Castro, M D

    2003-04-18

    A rapid analytical method for determination of organochlorine pesticide residues in sunflower seeds based on focused microwave-assisted Soxhlet extraction has been developed. The main factors affecting the extraction efficiency--namely microwave power, irradiation time, volume of extractant and number of cycles--were optimized by a two-level factorial fractional design. After extraction, a liquid-liquid extraction and a clean-up step including the use of Florisil macrocolumns were required prior to injection of the extracts into the chromatograph in order to isolate the pesticide residues from the lipid fraction of the original extract. The MS-MS ion preparation mode was selected due to the high sensitivity and selectivity it provides. Seed samples were used collected near a crop subjected to aerial pesticide application. Residues of hexachlorocyclohexane isomers and endosulfan were found in the seeds although they were not subjected to pesticide application, thus showing the spray-drift contamination. The validation of the proposed approach was carried out by comparison with the ISO 659-1988 reference extraction method obtaining similar, or even better efficiencies by the proposed approach.

  4. A simple method for determination of carmine in food samples based on cloud point extraction and spectrophotometric detection.

    Science.gov (United States)

    Heydari, Rouhollah; Hosseini, Mohammad; Zarabi, Sanaz

    2015-01-01

    In this paper, a simple and cost effective method was developed for extraction and pre-concentration of carmine in food samples by using cloud point extraction (CPE) prior to its spectrophotometric determination. Carmine was extracted from aqueous solution using Triton X-100 as extracting solvent. The effects of main parameters such as solution pH, surfactant and salt concentrations, incubation time and temperature were investigated and optimized. Calibration graph was linear in the range of 0.04-5.0 μg mL(-1) of carmine in the initial solution with regression coefficient of 0.9995. The limit of detection (LOD) and limit of quantification were 0.012 and 0.04 μg mL(-1), respectively. Relative standard deviation (RSD) at low concentration level (0.05 μg mL(-1)) of carmine was 4.8% (n=7). Recovery values in different concentration levels were in the range of 93.7-105.8%. The obtained results demonstrate the proposed method can be applied satisfactory to determine the carmine in food samples.

  5. The Comparison of different Procedures for DNA extraction from paraffin-embedded Tissues: A commercial kit and a traditional method based on heating

    Directory of Open Access Journals (Sweden)

    Davoodi, H

    2010-01-01

    Full Text Available Background and objectives: Paraffin-embedded tissues and clinicalsamples are a valuable resource for molecular genetic studies, but theextraction of high-quality genomic DNA from this tissues is still aproblematic issue. In the Present study, the efficiency of two DNAextraction protocols, a commercial kit and a traditional method based onheating and K Proteinase was compared.Material and Methods: Fifty paraffin-embedded blocks of colon cancertissues (more than 5 years old were used to compare two methods ofDNA extraction. DNA was extracted by traditional method using heat andcommercial DNA extraction (Qiagen kit method. Then the purity andconcentration of extracted DNA were measured by Spectrophotometer.Two sequences of TLR4 “The most important receptors in innateimmunity” were amplified by polymerase chain reaction. SH-1 ‘188bp’and SH-2 ‘124bp’ were amplified and then the products were separated ona 2% agarose gel.Results: The results show that the yield of DNA by traditional method(297 mg/ml is significantly (p<0.01 higher than Commercial kit(176mg/ ml. But traditional method has the lower OD ratio (1.2Compared to Commercial method. The Amplification of the TLR4 genesequences is more successful by the traditional method (p<0.01compared with commercial method. The length of the sequence affectson the results of PCR in that short sequence is amplified more successfulcompared to the long sequence.Conclusion: The traditional method is more successful in PCRamplification and also simple and cheap. Therefore, we recommendusing this method for DNA extraction taken from the paraffin-embeddedblocks with more than 5 years old and selecting shorter sequence forbetter amplification in PCR.Key words: DNA Extraction, paraffin embedded tissue, PCR

  6. A variation pixels identification method based on kernel spatial attraction model and local entropy for robust endmember extraction

    Institute of Scientific and Technical Information of China (English)

    赵春晖; 田明华; 齐滨; 王玉磊

    2016-01-01

    A variation pixels identification method was proposed aiming at depressing the effect of variation pixels, which dilates the theoretical hyperspectral data simplex and misguides volume evaluation of the simplex. With integration of both spatial and spectral information, this method quantitatively defines a variation index for every pixel. The variation index is proportional to pixels local entropy but inversely proportional to pixels kernel spatial attraction. The number of pixels removed was modulated by an artificial threshold factorα. Two real hyperspectral data sets were employed to examine the endmember extraction results. The reconstruction errors of preprocessing data as opposed to the result of original data were compared. The experimental results show that the number of distinct endmembers extracted has increased and the reconstruction error is greatly reduced. 100% is an optional value for the threshold factorα when dealing with no prior knowledge hyperspectral data.

  7. Evaluation of the impact of six different DNA extraction methods for the representation of the microbial community associated with human chronic wound infections using a gel-based DNA profiling method.

    Science.gov (United States)

    Dilhari, Ayomi; Sampath, Asanga; Gunasekara, Chinthika; Fernando, Neluka; Weerasekara, Deepaka; Sissons, Chris; McBain, Andrew; Weerasekera, Manjula

    2017-09-19

    Infected chronic wounds are polymicrobial in nature which include a diverse group of aerobic and anaerobic microorganisms. Majority of these communal microorganisms are difficult to grow in vitro. DNA fingerprinting methods such as polymerase chain reaction-denaturation gradient gel electrophoresis (PCR-DGGE) facilitate the microbial profiling of complex ecosystems including infected chronic wounds. Six different DNA extraction methods were compared for profiling of the microbial community associated with chronic wound infections using PCR-DGGE. Tissue debris obtained from chronic wound ulcers of ten patients were used for DNA extraction. Total nucleic acid was extracted from each specimen using six DNA extraction methods. The yield, purity and quality of DNA was measured and used for PCR amplification targeting V2-V3 region of eubacterial 16S rRNA gene. QIAGEN DNeasy Blood and Tissue Kit (K method) produced good quality genomic DNA compared to the other five DNA extraction methods and gave a broad diversity of bacterial communities in chronic wounds. Among the five conventional methods, bead beater/phenol-chloroform based DNA extraction method with STES buffer (BP1 method) gave a yield of DNA with a high purity and resulted in a higher DGGE band diversity. Although DNA extraction using heat and NaOH had the lowest purity, DGGE revealed a higher bacterial diversity. The findings suggest that the quality and the yield of genomic DNA are influenced by the DNA extraction protocol, thus a method should be carefully selected in profiling a complex microbial community.

  8. Development of sample preparation method for eleutheroside B and E analysis in Acanthopanax senticosus by ionic liquids-ultrasound based extraction and high-performance liquid chromatography detection.

    Science.gov (United States)

    Yang, Lei; Ge, Hongshuang; Wang, Wenjie; Zu, Yuangang; Yang, Fengjian; Zhao, Chunjian; Zhang, Lin; Zhang, Ying

    2013-12-01

    An ionic liquids-based ultrasonic-assisted extraction (ILUAE) method was successfully developed for extracting eleutheroside B and E from Radix Acanthopanax senticosus. Thirteen 1-alkyl-3-methylimidazolium ionic liquids with different cations and anions were investigated and 1-butyl-3-methylimidazolium bromide ([C4mim]Br) solution was selected as the solvent. The conditions for ILUAE, including the ionic liquid concentration, soaking time, ultrasonic power, ultrasonic time, solid-liquid ratio and number of extraction cycles, were optimized. With the proposed method, the energy consumption time was reduced to 30 min, whereas conventional method requires about 4h. The proposed method had good recovery (97.96-103.39%) and reproducibility (RSD, n=5; 3.3% for eleutheroside B, 4.6% for eleutheroside E). ILUAE was an efficient, rapid and simple sample preparation technique that showed high reproducibility and was environmental friendly.

  9. An Efficient Feature Extraction Method with Pseudo-Zernike Moment in RBF Neural Network-Based Human Face Recognition System

    Directory of Open Access Journals (Sweden)

    Ahmadi Majid

    2003-01-01

    Full Text Available This paper introduces a novel method for the recognition of human faces in digital images using a new feature extraction method that combines the global and local information in frontal view of facial images. Radial basis function (RBF neural network with a hybrid learning algorithm (HLA has been used as a classifier. The proposed feature extraction method includes human face localization derived from the shape information. An efficient distance measure as facial candidate threshold (FCT is defined to distinguish between face and nonface images. Pseudo-Zernike moment invariant (PZMI with an efficient method for selecting moment order has been used. A newly defined parameter named axis correction ratio (ACR of images for disregarding irrelevant information of face images is introduced. In this paper, the effect of these parameters in disregarding irrelevant information in recognition rate improvement is studied. Also we evaluate the effect of orders of PZMI in recognition rate of the proposed technique as well as RBF neural network learning speed. Simulation results on the face database of Olivetti Research Laboratory (ORL indicate that the proposed method for human face recognition yielded a recognition rate of 99.3%.

  10. Metabolite profiling of Clinacanthus nutans leaves extracts obtained from different drying methods by 1H NMR-based metabolomics

    Science.gov (United States)

    Hashim, Noor Haslinda Noor; Latip, Jalifah; Khatib, Alfi

    2016-11-01

    The metabolites of Clinacanthus nutans leaves extracts and their dependence on drying process were systematically characterized using 1H nuclear magnetic resonance spectroscopy (NMR) multivariate data analysis. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) were able to distinguish the leaves extracts obtained from different drying methods. The identified metabolites were carbohydrates, amino acid, flavonoids and sulfur glucoside compounds. The major metabolites responsible for the separation in PLS-DA loading plots were lupeol, cycloclinacosides, betulin, cerebrosides and choline. The results showed that the combination of 1H NMR spectroscopy and multivariate data analyses could act as an efficient technique to understand the C. nutans composition and its variation.

  11. 基于Gabor滤波的表情动态特征提取方法%An expressional dynamic feature extraction method based on Gabor filtering

    Institute of Scientific and Technical Information of China (English)

    朱明旱; 伍宗富; 罗大庸

    2012-01-01

    Using existing dynamic feature extraction method to extract expression features from image sequence,the facial appearance features are also extracted together.Aiming at this problem,an expressional dynamic feature extraction method based on Gabor filtering is proposed in this paper.Expression features being extracted,the method takes advantage of the frequency and direction selectivity of Gabor filter to suppress the facial appearance feature extraction.Thereby facial appearance features are reduced in expression features extracted from the sequence.The experimental results in Cohn-Kanade face database and CMU-AMP face database show expression features extracted by the proposed method are much more efficient for expression recognition of image sequence.%针对目前动态特征提取方法在提取序列表情特征时人脸外貌特征也一起被提取的缺陷,提出了一种基于Gabor滤波的表情动态特征提取方法。利用Gabor滤波器在频率和方向上的选择特性,在提取表情特征时较好地抑制了人脸外貌特征的提取,从而减少了表情特征中人脸外貌特征的含量。在Cohn-Kanade和CMU-AMP人脸库上的表情识别实验表明,本文方法获得的表情动态特征对表情识别更有效。

  12. Chinese Term Extraction Based on PAT Tree

    Institute of Scientific and Technical Information of China (English)

    ZHANG Feng; FAN Xiao-zhong; XU Yun

    2006-01-01

    A new method of automatic Chinese term extraction is proposed based on Patricia (PAT) tree. Mutual information is calculated based on prefix searching in PAT tree of domain corpus to estimate the internal associative strength between Chinese characters in a string. It can improve the speed of term candidate extraction largely compared with methods based on domain corpus directly. Common collocation suffix, prefix bank are constructed and term part of speech (POS) composing rules are summarized to improve the precision of term extraction. Experiment results show that the F-measure is 74.97 %.

  13. Digestion of wood-based hemicellulose extracts as screened by in vitro gas production method and verified in vivo using sheep

    Directory of Open Access Journals (Sweden)

    Marketta Rinne

    2016-03-01

    Full Text Available The objective of the present study was to evaluate the potential of pressurized hot water extracted hemicellulose fractions from various wood species as feeds for ruminants. In Experiment 1, the fermentability of several hemicellulose extracts was screened using an in vitro gas production method. The samples were extracted from spruce (Picea abies including mainly galactoglucomannan (GGM, from birch (Betula pendula consisting mainly of xylan and from larch (Larix sibirica consisting mainly of arabinogalactan. The GGM and xylan samples were readily fermented by rumen microbes while arabinogalactan was not. Based on the in vitro study, GGM was chosen for an in vivo digestibility trial using sheep, where it was fed at increasing proportions of diet dry matter (0, 47, 94 and 141 g kg-1 in a Latin Square design. The in vivo organic matter digestibility of GGM was relatively low, 0.58, but PHWE extracted hemicellulose has some potential as a feed for ruminants.

  14. Some properties of 2-D dielectric-based ENG/MNG material parameters extracted using the S-parameter method

    DEFF Research Database (Denmark)

    Wu, Yunqiu; Arslanagic, Samel

    This work presents a systematic investigation of material parameters for two-dimensional epsilon-negative (ENG) and mu-negative (MNG) materials as obtained by the scattering parameter method. The unit cell consists of infinite dielectric cylinders, their sizes and permittivities are chosen...... to enable the ENG and MNG behaviors. For the both configurations, the permittivity and the permeability is reported. Influence of several effects on the extracted material parameters is examined, including the loss inside the cylinders and the size of the unit cells...

  15. A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform

    Directory of Open Access Journals (Sweden)

    Xiao Yu

    2015-11-01

    Full Text Available Because roller element bearings (REBs failures cause unexpected machinery breakdowns, their fault diagnosis has attracted considerable research attention. Established fault feature extraction methods focus on statistical characteristics of the vibration signal, which is an approach that loses sight of the continuous waveform features. Considering this weakness, this article proposes a novel feature extraction method for frequency bands, named Window Marginal Spectrum Clustering (WMSC to select salient features from the marginal spectrum of vibration signals by Hilbert–Huang Transform (HHT. In WMSC, a sliding window is used to divide an entire HHT marginal spectrum (HMS into window spectrums, following which Rand Index (RI criterion of clustering method is used to evaluate each window. The windows returning higher RI values are selected to construct characteristic frequency bands (CFBs. Next, a hybrid REBs fault diagnosis is constructed, termed by its elements, HHT-WMSC-SVM (support vector machines. The effectiveness of HHT-WMSC-SVM is validated by running series of experiments on REBs defect datasets from the Bearing Data Center of Case Western Reserve University (CWRU. The said test results evidence three major advantages of the novel method. First, the fault classification accuracy of the HHT-WMSC-SVM model is higher than that of HHT-SVM and ST-SVM, which is a method that combines statistical characteristics with SVM. Second, with Gauss white noise added to the original REBs defect dataset, the HHT-WMSC-SVM model maintains high classification accuracy, while the classification accuracy of ST-SVM and HHT-SVM models are significantly reduced. Third, fault classification accuracy by HHT-WMSC-SVM can exceed 95% under a Pmin range of 500–800 and a m range of 50–300 for REBs defect dataset, adding Gauss white noise at Signal Noise Ratio (SNR = 5. Experimental results indicate that the proposed WMSC method yields a high REBs fault

  16. Development of an ionic liquid-based microwave-assisted method for simultaneous extraction and distillation for determination of proanthocyanidins and essential oil in Cortex cinnamomi.

    Science.gov (United States)

    Liu, Ye; Yang, Lei; Zu, Yuangang; Zhao, Chunjian; Zhang, Lin; Zhang, Ying; Zhang, Zhonghua; Wang, Wenjie

    2012-12-15

    Cortex cinnamomi is associated with many health benefits and is used in the food and pharmaceutical industries. In this study, an efficient ionic liquid-based microwave-assisted simultaneous extraction and distillation (ILMSED) technique was used to extract cassia oil and proanthocyanidins from Cortex cinnamomi; these were quantified by gas chromatography/mass spectrometry (GC-MS) and the vanillin-HCl colorimetric method, respectively. 0.5M 1-butyl-3-methylimidazolium bromide ionic liquid was selected as solvent. The optimum parameters of dealing with 20.0 g sample were 230 W microwave irradiation power, 15 min microwave extraction time and 10 liquid-solid ratio. The yields of essential oil and proanthocyanidins were 1.24 ± 0.04% and 4.58 ± 0.21% under the optimum conditions. The composition of the essential oil was analysed by GC-MS. Using the ILMSED method, the energy consumption was reduced and the extraction yields were improved. The proposed method was validated using stability, repeatability, and recovery experiments. The results indicated that the developed ILMSED method provided a good alternative for the extraction of both the essential oil and proanthocyanidins from Cortex cinnamomi.

  17. Protocol: A simple phenol-based method for 96-well extraction of high quality RNA from Arabidopsis

    Directory of Open Access Journals (Sweden)

    Coustham Vincent

    2011-03-01

    Full Text Available Abstract Background Many experiments in modern plant molecular biology require the processing of large numbers of samples for a variety of applications from mutant screens to the analysis of natural variants. A severe bottleneck to many such analyses is the acquisition of good yields of high quality RNA suitable for use in sensitive downstream applications such as real time quantitative reverse-transcription-polymerase chain reaction (real time qRT-PCR. Although several commercial kits are available for high-throughput RNA extraction in 96-well format, only one non-kit method has been described in the literature using the commercial reagent TRIZOL. Results We describe an unusual phenomenon when using TRIZOL reagent with young Arabidopsis seedlings. This prompted us to develop a high-throughput RNA extraction protocol (HTP96 adapted from a well established phenol:chloroform-LiCl method (P:C-L that is cheap, reliable and requires no specialist equipment. With this protocol 192 high quality RNA samples can be prepared in 96-well format in three hours (less than 1 minute per sample with less than 1% loss of samples. We demonstrate that the RNA derived from this protocol is of high quality and suitable for use in real time qRT-PCR assays. Conclusion The development of the HTP96 protocol has vastly increased our sample throughput, allowing us to fully exploit the large sample capacity of modern real time qRT-PCR thermocyclers, now commonplace in many labs, and develop an effective high-throughput gene expression platform. We propose that the HTP96 protocol will significantly benefit any plant scientist with the task of obtaining hundreds of high quality RNA extractions.

  18. A method for extracting fetal ECG based on EMD-NMF single channel blind source separation algorithm.

    Science.gov (United States)

    He, Pengju; Chen, Xiaomeng

    2015-01-01

    Nowadays, detecting fetal ECG using abdominal signal is a commonly used method, but fetal ECG signal will be affected by maternal ECG. Current FECG extraction algorithms are mainly aiming at multiple channels signal. They often assume there is only one fetus and did not consider multiple births. This paper proposed a single channel blind source separation algorithm to process single abdominal acquired signal. This algorithm decomposed single abdominal signal into multiple intrinsic mode function (IMF) utilizing empirical mode decomposition (EMD). Correlation matrix of IMF was calculated and independent ECG signal number was estimated using eigenvalue method. Nonnegative matrix was constructed according to determined number and decomposed IMF. Separation of MECG and FECG was achieved utilizing nonnegative matrix factorization (NMF). Experiments selected four channels man-made signal and two channels ECG to verify correctness and feasibility of proposed algorithm. Results showed that the proposed algorithm could determine number of independent signal in single acquired signal. FECG could be extracted from single channel observed signal and the algorithm can be used to solve separation of MECG and FECG.

  19. Development of an extraction method based on new porous organogel materials coupled with liquid chromatography-mass spectrometry for the rapid quantification of bisphenol A in urine.

    Science.gov (United States)

    ter Halle, Alexandra; Claparols, Catherine; Garrigues, Jean Christophe; Franceschi-Messant, Sophie; Perez, Emile

    2015-10-02

    A new method based on the use of porous organogel materials in combination with liquid chromatography-tandem mass spectrometry (LC-MS-MS) was assessed for the quantification of trace contaminants in complex matrices. As a demonstration of the use of these new materials, the contaminant chosen as a model was bisphenol A (BPA) and its extraction was investigated in urine. Organogel materials consist of an organic solvent immobilized by an organogelator. The composition of the organogel materials was optimized in terms of extraction efficiency and compatibility with LC-MS-MS. Porosity was introduced into the organogel by means of the particulate leaching method using sugar crystals. This new absorbing material is simple to use; the extraction method is reduced to a few steps. The originality of the method lies in the complete dissolution of the material for analysis by LC-MS-MS. The matrix effect of the organogel components was studied and was found to be minimal in atmospheric-pressure chemical ionization (APCI) compared to electrospray ionization (ESI) in negative mode. The influence of matrix components on the extraction was investigated by working with different media (acidified water, synthetic urine, horse urine and human urine). The partition coefficient was not affected within the margin of error (±0.1). After optimization, bisphenol A recoveries from urine samples reached 80%. The actual concentration factor was 10. The relative standard deviation (RSD, n=6) for the extraction and determination of BPA in horse urine spiked at 10ngmL(-1) was 9%. Tests with spiked human urine showed that the extraction performances were the same as with the solutions tested previously. The use of porous organogel allowed a fast, simple, sensitive, robust, green method to be developed for the determination of trace contaminants in complex matrices.

  20. Validation of a PicoGreen-based DNA quantification integrated in an RNA extraction method for two-dimensional and three-dimensional cell cultures.

    Science.gov (United States)

    Chen, Yantian; Sonnaert, Maarten; Roberts, Scott J; Luyten, Frank P; Schrooten, Jan

    2012-06-01

    DNA measurement and RNA extraction are two frequently used methods for cell characterization. In the conventional protocols, they require similar, but separate samples and in most cases, different pretreatments. The few combined protocols that exist still include time-consuming steps. Hence, to establish an efficient combined RNA extraction and DNA measurement protocol for two-dimensional (2D) and three-dimensional (3D) cell cultures, a PicoGreen-based DNA measurement was integrated in an existing RNA extraction protocol. It was validated by analysis of the influence of different lysis buffers, RLT, RA1, or Trizol, used for RNA extraction on the measured DNA concentration. The DNA cell yield was evaluated both in cell suspensions (2D) and on 3D cell-seeded scaffolds. Results showed that the different RNA lysis buffers caused a concentration-dependent perturbation of the PicoGreen signal. The measured DNA concentrations in 2D and 3D using RLT and RA1 buffer were comparable, also to the positive control. We, therefore, concluded that RNA extraction protocols using RA1 or RLT buffer allow the integration of a DNA quantification step without the buffer influencing the results. Hence, the combined DNA measurement and RNA extraction offer an alternative for DNA measurement techniques that is time and sample saving, for both 2D cell cultures and specific 3D constructs.

  1. Protein extraction and gel-based separation methods to analyze responses to pathogens in carnation (Dianthus caryophyllus L).

    Science.gov (United States)

    Ardila, Harold Duban; Fernández, Raquel González; Higuera, Blanca Ligia; Redondo, Inmaculada; Martínez, Sixta Tulia

    2014-01-01

    We are currently using a 2-DE-based proteomics approach to study plant responses to pathogenic fungi by using the carnation (Dianthus caryophyllus L)-Fusarium oxysporum f. sp. dianthi pathosystem. It is clear that the protocols for the first stages of a standard proteomics workflow must be optimized to each biological system and objectives of the research. The optimization procedure for the extraction and separation of proteins by 1-DE and 2-DE in the indicated system is reported. This strategy can be extrapolated to other plant-pathogen interaction systems in order to perform an evaluation of the changes in the host protein profile caused by the pathogen and to identify proteins which, at early stages, are involved or implicated in the plant defense response.

  2. 基于车辆特征的关键帧提取方法研究%Research of the key frame extraction method based on vehicle characteristics

    Institute of Scientific and Technical Information of China (English)

    王正玉; 李勃; 张明辉; 欧玉荣

    2011-01-01

    In this paper, several types of existing key frame extraction methods are analyzed, and a new key frame extraction method is presented based on the characteristics of the vehicle itself. This method has better universality and adaptability. It is computed simply and has high exactness. It can control the quantity of the extracted key frames while avoiding redundancy. Experiment results prove that this approach has better validity in key frame extraction.%对目前存在的几类提取关键帧的方法进行了分析,并基于车辆自身特征提出一种新的关键帧提取方法。该算法具有良好的通用性和适应性,计算简单,正确率高,有效避免了冗余,并可以控制关键帧的数量。实验结果表明,该算法在提取关键帧方面具有良好的有效性。

  3. Different methods to select the best extraction system for solid-phase extraction.

    Science.gov (United States)

    Bielicka-Daszkiewicz, Katarzyna

    2015-02-01

    The optimization methods for planning a solid-phase extraction experiment are presented. These methods are based on a study of interactions between different parts of an extraction system. Determination of the type and strength of interaction depends on the physicochemical properties of the individual components of the system. The main parameters that determine the extraction properties are described in this work. The influence of sorbents' and solvents' polarity on extraction efficiency, Hansen solubility parameters and breakthrough volume determination on sorption and desorption extraction step are discussed.

  4. Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging

    Directory of Open Access Journals (Sweden)

    Mojtaba Jafari Tadi

    2014-01-01

    Full Text Available Both respiratory and cardiac motions reduce the quality and consistency of medical imaging specifically in nuclear medicine imaging. Motion artifacts can be eliminated by gating the image acquisition based on the respiratory phase and cardiac contractions throughout the medical imaging procedure. Electrocardiography (ECG, 3-axis accelerometer, and respiration belt data were processed and analyzed from ten healthy volunteers. Seismocardiography (SCG is a noninvasive accelerometer-based method that measures accelerations caused by respiration and myocardial movements. This study was conducted to investigate the feasibility of the accelerometer-based method in dual gating technique. The SCG provides accelerometer-derived respiratory (ADR data and accurate information about quiescent phases within the cardiac cycle. The correct information about the status of ventricles and atria helps us to create an improved estimate for quiescent phases within a cardiac cycle. The correlation of ADR signals with the reference respiration belt was investigated using Pearson correlation. High linear correlation was observed between accelerometer-based measurement and reference measurement methods (ECG and Respiration belt. Above all, due to the simplicity of the proposed method, the technique has high potential to be applied in dual gating in clinical cardiac positron emission tomography (PET to obtain motion-free images in the future.

  5. Extractive spectrophotometric method for the determination of ...

    African Journals Online (AJOL)

    Extractive spectrophotometric method for the determination of carbaryl in environmental samples. ... Bulletin of the Chemical Society of Ethiopia ... method has been developed for its determination in environmental samples viz. soil, water and ...

  6. A WEB ENTITY INFORMATION EXTRACTION METHOD BASED ON SVM AND ADABOOST%一种基于SVM和AdaBoost的Web实体信息抽取方法

    Institute of Scientific and Technical Information of China (English)

    孙明; 陆春生; 徐秀星; 李庆忠; 彭朝晖

    2013-01-01

    In this paper, a Web entity information extraction method based on SVM and AdaBoost is proposed. Firstly, an identification method for Web page' s main data region based on SVM is proposed, which segments Web page data region effectively based on the display characteristics of Web entity instances in the page, identifies the main data area where the Web entity instances locates. Secondly, based on the characteristics of the Web entity attribute labels, a method based on AdaBoost ensemble learning is proposed, which automatically extracts the Web entities information from the main data area of the page. A variety of experiments are conducted on two real data sets, and the comparison is done with correlated research works as well, experimental results show that this method is able to achieve fairly good extraction effect.%提出一种基于SVM和AdaBoost的Web实体信息抽取方法.首先提出一种基于SVM的Web页面主数据区域识别方法,基于Web实体实例在页面中的展示特征,有效地将Web页面进行数据区域分割,识别出Web实体实例所在的主数据区域;然后基于Web实体属性标签的特征,提出一种基于AdaBoost的集成学习方法,从页面的主数据区域自动地抽取Web实体信息.在两个真实数据集上进行实验,并与相关研究工作进行比较,实验结果说明该方法能够取得良好的抽取效果.

  7. Natural colorants: Pigment stability and extraction yield enhancement via utilization of appropriate pretreatment and extraction methods.

    Science.gov (United States)

    Ngamwonglumlert, Luxsika; Devahastin, Sakamon; Chiewchan, Naphaporn

    2017-10-13

    Natural colorants from plant-based materials have gained increasing popularity due to health consciousness of consumers. Among the many steps involved in the production of natural colorants, pigment extraction is one of the most important. Soxhlet extraction, maceration, and hydrodistillation are conventional methods that have been widely used in industry and laboratory for such a purpose. Recently, various non-conventional methods, such as supercritical fluid extraction, pressurized liquid extraction, microwave-assisted extraction, ultrasound-assisted extraction, pulsed-electric field extraction, and enzyme-assisted extraction have emerged as alternatives to conventional methods due to the advantages of the former in terms of smaller solvent consumption, shorter extraction time, and more environment-friendliness. Prior to the extraction step, pretreatment of plant materials to enhance the stability of natural pigments is another important step that must be carefully taken care of. In this paper, a comprehensive review of appropriate pretreatment and extraction methods for chlorophylls, carotenoids, betalains, and anthocyanins, which are major classes of plant pigments, is provided by using pigment stability and extraction yield as assessment criteria.

  8. New Approach of Feature Extraction Method Based on the Raw Form and his Skeleton for Gujarati Handwritten Digits using Neural Networks Classifier

    Directory of Open Access Journals (Sweden)

    K. Moro

    2014-12-01

    Full Text Available This paper presents an optical character recognition (OCR system for Gujarati handwritten digits. One may find so much of work for latin writing, arabic, chines, etc. but Gujarati is a language for which hardly any work is traceable especially for handwritten characters. Here in this work we have proposed a method of feature extraction based on the raw form of the character and his skeleton and we have shown the advantage of using this method over other approaches mentioned in this article.

  9. A keyword extraction method based on BP neural network%一种基于BP神经网络的关键词抽取方法

    Institute of Scientific and Technical Information of China (English)

    白晓雷; 黄广君; 段建辉

    2014-01-01

    为了进一步提高Web信息抽取的准确性和效率,通过分析传统中文关键词抽取方法,文章提出了一种基于BP神经网络的中文关键词抽取方法。该方法在分析和提取术语特征的基础上,给出了确定网络隐层节点数的表达式和多个术语特征表达式,以此确定网络参数,实现中文关键词的抽取。实验结果表明,该方法查全率、查准率和查找性能较高,具备较好的应用前景。%In order to further enhance the accuracy and efficiency of Web information extraction ,a Chi-nese keyword extraction method based on back propagation(BP) neural network is proposed by analy-zing of the traditional Chinese keyword extraction method .The network hidden layer nodes expres-sions and terminology characteristic expression are given on the basis of analyzing and extracting term characteristic so as to determine the network parameters and achieve the Chinese keyword extraction . The experimental results show that the proposed method possesses high recall ratio ,precision ratio and look-up performance ,and it has a good application prospect .

  10. Bayesian methods of astronomical source extraction

    CERN Document Server

    Oliver, R S S S

    2005-01-01

    We present two new source extraction methods, based on the Bayesian statistical formalism. The first is a source detection filter, able to simultaneously detect point sources and estimate the image background. The second is an advanced photometry technique, which measures the flux, position (to sub-pixel accuracy), local background and point spread function of a previously-detected source. In both cases, we use the Bayesian Information Criterion (BIC) to compare the relative likelihood of different models. We apply the source detection filter to simulated Herschel-SPIRE data and show the filter's ability to both detect point sources and also simultaneously estimate the image background. We use the photometry method to analyse a simple simulated image containing a source of unknown flux, position and point spread function; we not only accurately measure these parameters, but also determine their uncertainties (using Markov-Chain Monte Carlo sampling). We also characterise the nature of the source (for example,...

  11. An Extraction Method for Chinese Terminology Based on Statistical Technology%一种基于统计技术的中文术语抽取方法

    Institute of Scientific and Technical Information of China (English)

    刘剑; 唐慧丰; 刘伍颖

    2014-01-01

    中文术语识别与抽取是中文文本信息处理的基础,对于提高中文文本索引与检索、文本挖掘、本体构建、潜在语义分析等的处理精度有着重要的意义。文章以互信息和信息熵理论为基础,提出一种基于统计技术的中文术语半自动抽取方法,并且以互联网新闻话题数据为对象进行了实验验证,结果表明所提方法能够有效支持中文术语的抽取。%Chinese terminology extraction is a fundamental issue in Chinese text information processing. It has been applied in many other fields, such as Chinese text indexing and retrieval, text mining, ontology construction, and latent semantic analysis. Based on mutual information and information entropy theory, we proposed a semi-automatic Chinese terminology extraction method by statistical technology, and experimental y verified this method using internet news topic data. Our results show that proposed method can effectively support Chinese term extraction.

  12. Development of a cloud point extraction and spectrophotometry-based microplate method for the determination of nitrite in human urine and blood

    Science.gov (United States)

    Zhao, Jiao; Lu, Yunhui; Fan, Chongyang; Wang, Jun; Yang, Yaling

    2015-02-01

    A novel and simple method for the sensitive determination of trace amounts of nitrite in human urine and blood has been developed by combination of cloud point extraction (CPE) and microplate assay. The method is based on the Griess reaction and the reaction product is extracted into nonionic surfactant Triton-X114 using CPE technique. In this study, decolorization treatment of urine and blood was applied to overcome the interference of matrix and enhance the sensitivity of nitrite detection. Multi-sample can be simultaneously detected thanks to a 96-well microplate technique. The effects of different operating parameters such as type of decolorizing agent, concentration of surfactant (Triton X-114), addition of (NH4)2SO4, extraction temperature and time, interfering elements were studied and optimum conditions were obtained. Under the optimum conditions, a linear calibration graph was obtained in the range of 10-400 ng mL-1 of nitrite with limit of detection (LOD) of 2.5 ng mL-1. The relative standard deviation (RSD) for determination of 100 ng mL-1 of nitrite was 2.80%. The proposed method was successfully applied for the determination of nitrite in the urine and blood samples with recoveries of 92.6-101.2%.

  13. Development of a cloud point extraction and spectrophotometry-based microplate method for the determination of nitrite in human urine and blood.

    Science.gov (United States)

    Zhao, Jiao; Lu, Yunhui; Fan, Chongyang; Wang, Jun; Yang, Yaling

    2015-02-05

    A novel and simple method for the sensitive determination of trace amounts of nitrite in human urine and blood has been developed by combination of cloud point extraction (CPE) and microplate assay. The method is based on the Griess reaction and the reaction product is extracted into nonionic surfactant Triton-X114 using CPE technique. In this study, decolorization treatment of urine and blood was applied to overcome the interference of matrix and enhance the sensitivity of nitrite detection. Multi-sample can be simultaneously detected thanks to a 96-well microplate technique. The effects of different operating parameters such as type of decolorizing agent, concentration of surfactant (Triton X-114), addition of (NH4)2SO4, extraction temperature and time, interfering elements were studied and optimum conditions were obtained. Under the optimum conditions, a linear calibration graph was obtained in the range of 10-400 ng mL(-1) of nitrite with limit of detection (LOD) of 2.5 ng mL(-1). The relative standard deviation (RSD) for determination of 100 ng mL(-1) of nitrite was 2.80%. The proposed method was successfully applied for the determination of nitrite in the urine and blood samples with recoveries of 92.6-101.2%.

  14. Miniaturized preconcentration methods based on liquid-liquid extraction and their application in inorganic ultratrace analysis and speciation: A review

    Science.gov (United States)

    Pena-Pereira, Francisco; Lavilla, Isela; Bendicho, Carlos

    2009-01-01

    Liquid-liquid extraction (LLE) is widely used as a pre-treatment technique for separation and preconcentration of both organic and inorganic analytes from aqueous samples. Nevertheless, it has several drawbacks, such as emulsion formation or the use of large volumes of solvents, which makes LLE expensive and labour intensive. Therefore, miniaturization of conventional liquid-liquid extraction is needed. The search for alternatives to the conventional LLE using negligible volumes of extractant and the minimum number of steps has driven the development of three new miniaturized methodologies, i.e. single-drop microextraction (SDME), hollow fibre liquid-phase microextraction (HF-LPME) and dispersive liquid-liquid microextraction (DLLME). The aim of this paper is to provide an overview of these novel preconcentration approaches and their potential use in analytical labs involved in inorganic (ultra)trace analysis and speciation. Relevant applications to the determination of metal ions, metalloids, organometals and non-metals are included.

  15. Miniaturized preconcentration methods based on liquid-liquid extraction and their application in inorganic ultratrace analysis and speciation: A review

    Energy Technology Data Exchange (ETDEWEB)

    Pena-Pereira, Francisco; Lavilla, Isela [Departamento de Quimica Analitica y Alimentaria, Area de Quimica Analitica, Facultad de Quimica, Universidad de Vigo, Campus As Lagoas-Marcosende s/n, 36310 Vigo (Spain); Bendicho, Carlos [Departamento de Quimica Analitica y Alimentaria, Area de Quimica Analitica, Facultad de Quimica, Universidad de Vigo, Campus As Lagoas-Marcosende s/n, 36310 Vigo (Spain)], E-mail: bendicho@uvigo.es

    2009-01-15

    Liquid-liquid extraction (LLE) is widely used as a pre-treatment technique for separation and preconcentration of both organic and inorganic analytes from aqueous samples. Nevertheless, it has several drawbacks, such as emulsion formation or the use of large volumes of solvents, which makes LLE expensive and labour intensive. Therefore, miniaturization of conventional liquid-liquid extraction is needed. The search for alternatives to the conventional LLE using negligible volumes of extractant and the minimum number of steps has driven the development of three new miniaturized methodologies, i.e. single-drop microextraction (SDME), hollow fibre liquid-phase microextraction (HF-LPME) and dispersive liquid-liquid microextraction (DLLME). The aim of this paper is to provide an overview of these novel preconcentration approaches and their potential use in analytical labs involved in inorganic (ultra)trace analysis and speciation. Relevant applications to the determination of metal ions, metalloids, organometals and non-metals are included.

  16. Automated extraction and assessment of functional features of areal measured microstructures using a segmentation-based evaluation method

    Science.gov (United States)

    Hartmann, Wito; Loderer, Andreas

    2014-10-01

    In addition to currently available surface parameters, according to ISO 4287:2010 and ISO 25178-2:2012—which are defined particularly for stochastic surfaces—a universal evaluation procedure is provided for geometrical, well-defined, microstructured surfaces. Since several million of features (like diameters, depths, etc) are present on microstructured surfaces, segmentation techniques are used for the automation of the feature-based dimensional evaluation. By applying an additional extended 3D evaluation after the segmentation and classification procedure, the accuracy of the evaluation is improved compared to the direct evaluation of segments, and additional functional parameters can be derived. Advantages of the extended segmentation-based evaluation method include not only the ability to evaluate the manufacturing process statistically (e.g. by capability indices, according to ISO 21747:2007 and ISO 3534-2:2013) and to derive statistical reliable values for the correction of microstructuring processes but also the direct re-use of the evaluated parameter (including its statistical distribution) in simulations for the calculation of probabilities with respect to the functionality of the microstructured surface. The practical suitability of this method is demonstrated using examples of microstructures for the improvement of sliding and ink transfers for printing machines.

  17. Comparison of pyrethrins extraction methods efficiencies

    African Journals Online (AJOL)

    STORAGESEVER

    2010-05-03

    May 3, 2010 ... Best developed method was used for determination of pyrethrin content in three different ... There are many areas of application of .... The extractions were made on a soxtec avanti 2055 manual system ... was automated.

  18. 基于图像主色彩的视频关键帧提取方法%Video key frame extraction method based on image dominant color

    Institute of Scientific and Technical Information of China (English)

    王松; 韩永国; 吴亚东; 张赛楠

    2013-01-01

    针对现有关键帧提取算法存在的计算量大、阈值选择困难、视频类型受限等问题,提出了一种基于图像主色彩的视频关键帧提取方法.该方法利用基于八叉树结构的色彩量化算法提取图像主色彩特征,通过计算颜色特征的相似度实现镜头边界检测,最后采用K-均值算法对提取出的代表帧序列进行聚类,准确提取出指定数目的关键帧.实验结果表明,所提算法计算简单、空间耗费少,具有良好的通用性和适应性.%Video key frame reflects the main content of the video sequence.Video key frame extraction is one of the key steps for video content retrieval.Although there are some effective key frame extraction algorithms,these algorithms still have some problems such as heavy load of computing,difficulty in choosing suitable threshold value for different type sequences and limited types of videos.In this paper,a video key frame extraction method based on frame dominant color was proposed.Firstly,every frame was simplified by the dominant color which was obtained by octree structure color quantization algorithm.Secondly,shot boundary was detected according to the color similarity between adjacent frames.Finally,key frames were decided from candidate frames by K-means clustering algorithm.The experimental results show that the proposed method is simpler in computation and requires lower time and space complexity than other key frame extraction methods.

  19. Scene Text Extraction Method Based on Clustering and MRF Model%基于聚类和MRF模型的场景文字提取方法

    Institute of Scientific and Technical Information of China (English)

    章天则; 赵宇明

    2011-01-01

    提出一种从自然场景中提取文本区域的方法.该方法包括候选文本区域的提取,以及候选区域是否为文字区域的判定.候选文字区域的提取,主要利用图像的纹理特征和HSL颜色空间信息,通过改进的模糊C均值聚类函数,结合拉普拉斯掩膜与计算最大梯度差来实现.由连通域边缘密度信息、形状信息的马尔科夫随机场模型,判定候选文字区域是否为文字区域.经ICDAR2003数据库测试结果表明,该方法具有较高的精确度.%This paper proposes a method for extracting text regions from natural scene images. This method includes two parts, text region candidates extraction and candidate regions further classification of text region or non-text region. The text region candidates are extracted through a modified fuzzy C-means clustering algorithm combined with Laplacian mask and maximum gradient difference value, which involves texture features and HSL color space information. The candidate regions are checked by edge density information and shape information of the connected components based on Markov Random Field(MRF) model. The proposed method achieves reasonable accuracy for text extraction from examples of the ICDAR 2003 database.

  20. Method for analyzing solvent extracted sponge core

    Energy Technology Data Exchange (ETDEWEB)

    Ellington, W.E.; Calkin, C.L.

    1988-11-22

    For use in solvent extracted sponge core measurements of the oil saturation of earth formations, a method is described for quantifying the volume of oil in the fluids resulting from such extraction. The method consists of: (a) separating the solvent/oil mixture from the water in the extracted fluids, (b) distilling at least a portion of the solvent from the solvent/oil mixture substantially without co-distillation or loss of the light hydrocarbons in the mixture, (c) determining the volume contribution of the solvent remaining in the mixture, and (d) determining the volume of oil removed from the sponge by substracting the determined remaining solvent volume.

  1. Low Hilly Land Extraction Method Based on ArcGIS%基于 ArcGIS 的低丘缓坡用地提取方法

    Institute of Scientific and Technical Information of China (English)

    高国勇

    2014-01-01

    The paper combines the low hilly land assessment work in Liaoning province , makes a summary of the investigation process, and introduces low hilly land extraction method and key technology based on ArcGIS .%结合辽宁省开展的低丘缓坡普查工作,通过对调查工序流程的总结,介绍利用ArcGIS软件提取低丘缓坡用地的关键技术方法。

  2. Green technology approach towards herbal extraction method

    Science.gov (United States)

    Mutalib, Tengku Nur Atiqah Tengku Ab; Hamzah, Zainab; Hashim, Othman; Mat, Hishamudin Che

    2015-05-01

    The aim of present study was to compare maceration method of selected herbs using green and non-green solvents. Water and d-limonene are a type of green solvents while non-green solvents are chloroform and ethanol. The selected herbs were Clinacanthus nutans leaf and stem, Orthosiphon stamineus leaf and stem, Sesbania grandiflora leaf, Pluchea indica leaf, Morinda citrifolia leaf and Citrus hystrix leaf. The extracts were compared with the determination of total phenolic content. Total phenols were analyzed using a spectrophotometric technique, based on Follin-ciocalteau reagent. Gallic acid was used as standard compound and the total phenols were expressed as mg/g gallic acid equivalent (GAE). The most suitable and effective solvent is water which produced highest total phenol contents compared to other solvents. Among the selected herbs, Orthosiphon stamineus leaves contain high total phenols at 9.087mg/g.

  3. Extraction of lipids from microalgae by ultrasound application: prospection of the optimal extraction method.

    Science.gov (United States)

    Araujo, Glacio S; Matos, Leonardo J B L; Fernandes, Jader O; Cartaxo, Samuel J M; Gonçalves, Luciana R B; Fernandes, Fabiano A N; Farias, Wladimir R L

    2013-01-01

    Microalgae have the ability to grow rapidly, synthesize and accumulate large amounts (approximately 20-50% of dry weight) of lipids. A successful and economically viable algae based oil industry will depend on the selection of appropriate microalgal strains and the selection of the most suitable lipid extraction method. In this paper, five extraction methods were evaluated regarding the extraction of lipids from Chlorella vulgaris: Bligh and Dyer, Chen, Folch, Hara and Radin, and Soxhlet. Furthermore, the addition of silica powder was studied to evaluate the introduction of more shear stress to the system as to increase the disruption of cell walls. Among the studied methods, the Bligh and Dyer method assisted by ultrasound resulted in the highest extraction of oil from C. vulgaris (52.5% w/w). Addition of powder silica did not improve the extraction of oil. Copyright © 2012 Elsevier B.V. All rights reserved.

  4. Coastline Extraction Method based on Remote Sensing and DEM%遥感与DEM相结合的海岸线高精度提取方法

    Institute of Scientific and Technical Information of China (English)

    刘善伟; 张杰; 马毅; 孙伟富

    2011-01-01

    针对海岸线现场测量难度大、施测周期长等问题,研究了应用高分辨率卫星遥感影像和DEM数据提取海岸线的技术方法。以SPOT 5融合影像为例,给出了基岩、砾石、砂质、人工4种类型海岸线的解译标志建立方法和提取原则,其中砂质岸线的提取须对影像做拉伸处理;针对纯遥感手段提取海岸线的不足,提出结合精细DEM数据提取海岸线的几种方式,分析了基于砂质岸线解译标志提取海岸线高程精度的可靠性,并给出了结合DEM数据提取基岩岸线的应用实例。通过应用海岸线现场测量结果开展精度验证,海岸线提取结果的定位精度优于5m,可满足1∶10 000比例尺的制图精度要求。%The field measurement of coastline has much difficulty and a long measurement cycle,so it is not suitable for normal investigation.In view of this,we studied the method of coastline extraction using satellite remote sensing image with high resolution and DEM.Taking SPOT 5 image as an example,we gave the establishment method of interpreting marks and extraction principle for rocky,gravelly,sandy and artificial coastline.Especially for the sandy area,the image should be stretched before coastline extraction.With regard to the shortages of coastline extraction by remote sensing only,we put forward several ways that combined with fine DEM data,analyzed the reliability of elevation obtained from sandy coastline based on interpreting marks,and then gave the instances of extracting rocky coastline.Finally,comparied with the field measurement result,the positioning accuracy of the extracted coastline is better than 5 m,which can meet the requirement of mapping accuracy for 10 000 scale.

  5. Microwave-based Method for Genomic DNA Extraction and Rapid Detection Method from Xanthomonas axonopodis pv.citri%柑桔溃疡病菌基因组DNA的微波法抽提及快速检测

    Institute of Scientific and Technical Information of China (English)

    姚廷山; 周常勇; 胡军华; 冉春; 李鸿筠; 刘浩强; 肖田

    2012-01-01

    利用微波热震惊提取固体表面柑桔溃疡病基因组DNA并加以优化,所得到的基因组DNA可作为PCR反应的模板进行16SrDNA基因有效扩增.与柑桔溃疡病基园组DNA其他抽提方法相比较,微波法更适用于该病的快速检测,具有快速、筒便、费用低廉等特点,且对设备的要求不高,用特异性引物XCF/XCR可实现柑桔溃疡病菌的快速鉴定.%The optimized microwave extraction was conducted to attract the genome of citrus canker disease. The genome extraction method was fast,easy to handle with low cost The extracted DNA was suitable for PCR. The microwave-based method was suitable for fast identification compare to other methods. The method was effective, easy and fast, so it was recommended that the extraction method was applied for the detection of Xanthomonas oxonopodit pv. citri using primers XCF/XCR.

  6. Method for Extracting Product Information from TV Commercial

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2011-09-01

    Full Text Available Television (TV Commercial program contains important product information that displayed only in seconds. People who need that information has no insufficient time for noted it, even just for reading that information. This research work focus on automatically detect text and extract important information from a TV commercial to provide information in real time and for video indexing. We propose method for product information extraction from TV commercial using knowledge based system with pattern matching rule based method. Implementation and experiments on 50 commercial screenshot images achieved a high accuracy result on text extraction and information recognition.

  7. Evaluation by latent class analysis of a magnetic capture based DNA extraction followed by real-time qPCR as a new diagnostic method for detection of Echinococcus multilocularis in definitive hosts.

    Science.gov (United States)

    Maas, Miriam; van Roon, Annika; Dam-Deisz, Cecile; Opsteegh, Marieke; Massolo, Alessandro; Deksne, Gunita; Teunis, Peter; van der Giessen, Joke

    2016-10-30

    A new method, based on a magnetic capture based DNA extraction followed by qPCR, was developed for the detection of the zoonotic parasite Echinococcus multilocularis in definitive hosts. Latent class analysis was used to compare this new method with the currently used phenol-chloroform DNA extraction followed by single tube nested PCR. In total, 60 red foxes and coyotes from three different locations were tested with both molecular methods and the sedimentation and counting technique (SCT) or intestinal scraping technique (IST). Though based on a limited number of samples, it could be established that the magnetic capture based DNA extraction followed by qPCR showed similar sensitivity and specificity as the currently used phenol-chloroform DNA extraction followed by single tube nested PCR. All methods have a high specificity as shown by Bayesian latent class analysis. Both molecular assays have higher sensitivities than the combined SCT and IST, though the uncertainties in sensitivity estimates were wide for all assays tested. The magnetic capture based DNA extraction followed by qPCR has the advantage of not requiring hazardous chemicals like the phenol-chloroform DNA extraction followed by single tube nested PCR. This supports the replacement of the phenol-chloroform DNA extraction followed by single tube nested PCR by the magnetic capture based DNA extraction followed by qPCR for molecular detection of E. multilocularis in definitive hosts. Copyright © 2016 Elsevier B.V. All rights reserved.

  8. Newer methods of extraction of teeth

    Directory of Open Access Journals (Sweden)

    MHendra Chandha

    2016-06-01

    Full Text Available Atraumatic extraction methods are deemed to be important to minimize alveolar bone loss after tooth extraction. With the advent of such techniques, exodontia is no more a dreaded procedure in anxious patients. Newer system and techniques for extraction of teeth have evolved in the recent few decades. This article reviews and discusses new techniques to make simple and complex exodontias more efficient with improved patient outcomes. This includes physics forceps, powered periotome, piezosurgery, benex extractor, sonic instrument for bone surgery, lasers.

  9. The QuEChERS analytical method combined with low density solvent based dispersive liquid–liquid microextraction for quantitative extraction of multiclass pesticide residues in cereals

    Directory of Open Access Journals (Sweden)

    T. Bedassa

    2017-07-01

    Full Text Available In this study, a combination QuEChERS and low density solvent based DLLME was developed for extraction and preconcentration of five multiclass pesticide residues including atrazine, ametryn, terbutryn, carbaryl and chlorothalonil, from selected cereals: Teff, barley and maize samples. Liquid chromatography with variable wavelength detector (VWD was used for quantitative determination of the pesticides. Various experimental parameters affecting the extraction and the preconcentration efficiencies were optimized. Calibration curves constructed using Teff samples were linear over wide ranges, 7.1-200 μg kg-1 with R2 ≥ 0.990. LODs of the method were ≤ 8.9 μg kg-1, below the MRLs of EU for maize and barley. The RSDs were in the range of 2.3–9.5%. The method has also been applied to different cereal samples and satisfactory average recoveries ranging 69.0–117% were obtained for the spiked cereal samples at two concentration levels. Therefore, the developed method can be successfully utilized as a simple alternative for the analysis of multiclass pesticide residues in cereals and other related samples.

  10. Guanidinium ionic liquid-based surfactants as low cytotoxic extractants: Analytical performance in an in-situ dispersive liquid-liquid microextraction method for determining personal care products.

    Science.gov (United States)

    Pacheco-Fernández, Idaira; Pino, Verónica; Ayala, Juan H; Afonso, Ana M

    2017-05-01

    The IL-based surfactant octylguanidinium chloride (C8Gu-Cl) was designed and synthetized with the purpose of obtaining a less harmful surfactant: containing guanidinium as core cation and a relatively short alkyl chain. Its interfacial and aggregation behavior was evaluated through conductivity and fluorescence measurements, presenting a critical micelle concentration value of 42.5 and 44.6mmolL(-1), respectively. Cytotoxicity studies were carried out with C8Gu-Cl and other IL-based and conventional surfactants, specifically the analogue 1-octyl-3-methylimidazolium chloride (C8MIm-Cl), and other imidazolium- (C16MIm-Br) and pyridinium- (C16Py-Cl) based surfactants, together with the conventional cationic CTAB and the conventional anionic SDS. From these studies, C8Gu-Cl was the only one to achieve the classification of low cytotoxicity. An in situ dispersive liquid-liquid microextraction (DLLME) method based on transforming the water-soluble C8Gu-Cl IL-based surfactant into a water-insoluble IL microdroplet via a simple metathesis reaction was then selected as the extraction/preconcentration method for a group of 6 personal care products (PCPs) present in cosmetic samples. The method was carried out in combination with high-performance liquid chromatography (HPLC) and diode array detection (DAD). The method was properly optimized, requiring the use of only 30μL of C8Gu-Cl for 10mL of aqueous sample with a NaCl content of 8% (w/v) to adjust the ionic strength and pH value of 5. The metathesis reaction required the addition of the anion exchange reagent (bis[(trifluoromethyl)sulfonyl]imide - 1:1 molar ratio), followed by vortex and centrifugation, and dilution of the final microdroplet up to 60μL with acetonitrile before the injection in the HPLC-DAD system. The optimum in situ DLLME-HPLC-DAD method takes ∼10min for the extraction step and ∼22min for the chromatographic separation, with analytical features of low detection limits: down to 0.4μgL(-1); high

  11. 面向对象的沙化土地信息提取%Desertification Land Information Extraction Based on Object-Oriented Classification Method

    Institute of Scientific and Technical Information of China (English)

    冯益明; 郑冬梅; 智长贵; 姚爱冬; 高志海

    2013-01-01

    以沙化土地典型分布区——甘肃省民勤县为研究对象,以高空间分辨率影像SPOT5与30 m DEM为主要数据源,采用面向对象的影像分析方法,对影像进行多尺度、多层次的分割、合并,在此基础上,通过构建多重规则集,对影像进行基于知识的模糊分类,可较为准确地实现沙化土地信息的识别与提取.本文为解决基于高空间分辨率影像进行沙化土地信息准确提取提供一个有效途径,为防沙治沙决策提供科学依据.%Desertification of land was the significant environmental issue threatening human existence. Desertification land area was 1 731 100 km2 in 2009, occupying 18.03% of China' s total land area. Remote sensing is an effective method monitoring the desertification land. With the development of remote sensing technology, high spatial resolution remote sensing image gradually becomes main data source of resolving the desertification land information extraction. The traditional remote sensing image classification method based on pixel has some difficulties in treating the high spatial resolution remote sensing images, however, the object-oriented classification method might overcame the limit of using the pixel as basic treatment unit. Minqin County, a typical desertification land distribution region, was used as studied object in this paper, the high spatial resolution remote sensing images SPOTS and 30 m DEM were used as date sources, the multi-scale and multi-level segmentation of remote sensing images was conducted by using the object-oriented classification method. Based on these results, the remote sensing images were subjected to fuzzy image classification based on knowledge by constructing multiset, and thus relatively accurately realize the recognition and extraction of desertification land information. This paper would provide an effective path for resolving the accurate extraction of desertification land information based on the high spatial

  12. Image Feature Extraction Method Based on SFA and GLCM%基于SFA和GLCM的影像特征提取方法

    Institute of Scientific and Technical Information of China (English)

    鄢圣藜; 霍宏; 方涛

    2011-01-01

    针对遥感影像中同类样本差异性较大的缺点,提出一种基于SFA和灰度共生矩阵(GLCM)的遥感影像特征提取方法.对原始图像进行SFA变换,利用SFA的生物视觉特性消除图像中的同类差异性,对变换得到的图像进行GLCM计算,获得基于SFA和GLCM的新型特征.实验结果证明,SFA预处理能降低遥感影像的同类差异性,提高特征的可区分性,其效果优于传统的GLCM特征提取方法.%As there are still many difference between the remote sensing image from the same class, this paper proposes a new method of extracting features based on Slow Feature Analysis(SFA) and Gray Level Co-occurrence Matrix(GLCM). The image is first processed with SEA algorithm. It can eliminate the difference of the object from the same class as the biological characteristics of SPA. Then the GLCM feature is extracted from the SFA data. Results indicate that with the preprocessing of SFA, it can effectively reduce the diversity of samples from the same class and increase the distinguishability of the feature, the method is more effective and competitive than the conventional GLCM feature extraction method.

  13. Development of a rapid method based on solid-phase extraction and liquid chromatography with ultraviolet absorbance detection for the determination of polyphenols in alcohol-free beers.

    Science.gov (United States)

    García, A Alonso; Grande, B Cancho; Gándara, J Simal

    2004-10-29

    An analytical method based on solid-phase extraction (SPE) and followed by liquid chromatographic separation and ultraviolet detection (HPLC-UV) is proposed for the determination of 10 phenolic compounds which participate on beer stability and sensory properties in alcohol-free beers. Acetonitrile was found to be the most appropriate solvent for the elution of polyphenolic compounds adsorbed on C18 cartridges. The performance of the method was assessed by the evaluation of parameters such as absolute recovery (generally higher than 60%), repeatability (lower than 10%), linearity (r2 higher than 0.993) and limits of quantitation (ranging from 1 to 37 microg/L); no matrix effects were observed. The polyphenol content of different Spanish alcohol-free beers is presented. Five phenolic compounds such as protocatechuic, p-coumaric, ferulic, caffeic acids, and (+)-catechin were identified at levels lower than 10 mg/L.

  14. A Circular Statistical Method for Extracting Rotation Measures

    Indian Academy of Sciences (India)

    S. Sarala; Pankaj Jain

    2002-03-01

    We propose a new method for the extraction of Rotation Measures from spectral polarization data. The method is based on maximum likelihood analysis and takes into account the circular nature of the polarization data. The method is unbiased and statistically more efficient than the standard 2 procedure.

  15. New method to discriminate between cathepsin B and cathepsin L in crude extracts from fish muscle based on a simple acidification procedure

    DEFF Research Database (Denmark)

    Godiksen, Helene; Nielsen, Henrik Hauch

    2007-01-01

    A new and simple method to distinguish between cathepsin B and cathepsin L in crude extracts of herring (Clupea harengus) muscle has been established. An acid treatment of crude extracts (exposed to pH 3 for 5 min) activated a latent form of cathepsin L and inactivated cathepsin B. Furthermore......). Cathepsin B activity is measured in neutral extract using the specific cathepsin B substrate Z-Arg-Arg-MCA and cathepsin L activity is measured in acid-treated extract with Z-Phe-Arg-MCA as substrate. The specific cathepsin B inhibitor, CA-074, did not inhibit the Z-Arg-Arg-MCA significantly without...

  16. A RAPID PCR-QUALITY DNA EXTRACTION METHOD IN FISH

    Institute of Scientific and Technical Information of China (English)

    LI Zhong; LIANG Hong-Wei; ZOU Gui-Wei

    2012-01-01

    PCR has been a general preferred method for biological research in fish, and previous research have enabled us to extract and purify PCR-quality DNA templates in laboratories[1-4]. The same problem among these procedures is waiting for tissue digesting for a long time. The overabundance time spent on PCR-quality DNA extraction restricts the efficiency of PCR assay, especially in large-scale PCR amplification, such as SSR-based genetic-mapping construction [5,6], identification of germ plasm resource[7,8] and evolution research [9,10], etc. In this study, a stable and rapid PCR-quality DNA extraction method was explored, using a modified alkaline lysis protocol. Extracting DNA for PCR only takes approximately 25 minutes. This stable and rapid DNA extraction method could save much laboratory time and promotes.%PCR has been a general preferred method for biological research in fish,and previous research have enabled us to extract and purify PCR-quality DNA templates in laboratories [1-4].The same problem among these procedures is waiting for tissue digesting for a long time.The overabundance time spent on PCR-quality DNA extraction restricts the efficiency of PCR assay,especially in large-scale PCR amplification,such as SSR-based genetic-mapping construction [5,6],identification of germ plasm resource[7,8] and evolution research [9,10],etc.In this study,a stable and rapid PCR-quality DNA extraction method was explored,using a modified alkaline lysis protocol.Extracting DNA for PCR only takes approximately 25 minutes.This stable and rapid DNA extraction method could save much laboratory time and promotes.

  17. Partitioning of radionuclides and trace elements in phosphogypsum and its source materials based on sequential extraction methods.

    Science.gov (United States)

    Santos, A J G; Mazzilli, B P; Fávaro, D I T; Silva, P S C

    2006-01-01

    Phosphogypsum is a waste produced by the phosphate fertilizer industry. Although phosphogypsum is mainly calcium sulphate dihydrate, it contains elevated levels of impurities, which originate from the source phosphate rock used in the phosphoric acid production. Among these impurities, radionuclides from 238U and 232Th decay series are of most concern due to their radiotoxicity. Other elements, such as rare earth elements (REE) and Ba are also enriched in the phosphogypsum. The bioavailability of radionuclides (226Ra, 210Pb and 232Th), rare earth elements and Ba to the surrounding aquatic system was evaluated by the application of sequential leaching of the phosphogypsum samples from the Brazilian phosphoric acid producers. The sequential extraction results show that most of the radium and lead are located in the "iron oxide" (non-CaSO4) fraction, and that only 13-18% of these radionuclides are distributed in the most labile fraction. Th, REE and Ba were found predominantly in the residual phase, which corresponds to a small fraction of the phosphate rock or monazite that did not react and to insoluble compounds such as sulphates, phosphates and silicates. It can be concluded that although all these elements are enriched in the phosphogypsum samples they are not associated with CaSO4 itself and therefore do not represent a threat to the surrounding aquatic environment.

  18. 使用基于模式的Bootstrapping方法抽取情感词%Extracting sentiment words using pattern based Bootstrapping method

    Institute of Scientific and Technical Information of China (English)

    王昌厚; 王菲

    2014-01-01

    Sentiment(or opinionated)lexicons play an important role in sentiment analysis. With the blooming of net neol-ogisms, it is quite necessary to identify new sentiment words and improve current sentiment lexicons. This paper proposes a pattern based Bootstrapping method which extracts sentiment words from micro blogs. The experimental results validate the effectiveness of the method and large quantity of un-recorded sentiment words are extracted with reasonable precisions.%情感评价词典在情感分析中具有非常重要的作用,在新词频发的网络环境中,识别新的情感评价词,完善现有的情感词典是非常有必要的。使用基于模式的Bootstrapping方法,在微博语料中抽取情感评价词。实验证明,在保持了较理想的精确率的情况下,上述方法抽取了数量可观的传统情感词典未收录的情感评价词。

  19. A NOVEL METHOD FOR ARABIC MULTI-WORD TERM EXTRACTION

    Directory of Open Access Journals (Sweden)

    Hadni Meryem

    2014-10-01

    Full Text Available Arabic Multiword Terms (AMWTs are relevant strings of words in text documents. Once they are automatically extracted, they can be used to increase the performance of any Arabic Text Mining applications such as Categorization, Clustering, Information Retrieval System, Machine Translation, and Summarization, etc. Mainly the proposed methods for AMWTs extraction can be categorized in three approaches: Linguistic-based, Statistic-based, and hybrid-based approach. These methods present some drawbacks that limit their use. In fact they can only deal with bi-grams terms and their yield not good accuracies. In this paper, to overcome these drawbacks, we propose a new and efficient method for AMWTs Extraction based on a hybrid approach. This latter is composed by two main filtering steps: the Linguistic filter and the Statistical one. The Linguistic Filter uses our proposed Part Of Speech (POS Tagger and the Sequence identifier as patterns in order to extract candidate AMWTs. While the Statistical filter incorporate the contextual information, and a new proposed association measure based on Termhood and Unithood Estimation named NTC-Value. To evaluate and illustrate the efficiency of our proposed method for AMWTs extraction, a comparative study has been conducted based on Kalimat Corpus and using nine experiment schemes: In the linguistic filter, we used three POS Taggers such as Taani’s method based Rule-approach, HMM method based Statistical-approach, and our recently proposed Tagger based Hybrid –approach. While in the Statistical filter, we used three statistical measures such as C-Value, NC-Value, and our proposed NTC-Value. The obtained results demonstrate the efficiency of our proposed method for AMWTs extraction: it outperforms the other ones and can deal correctly with the tri-grams terms.

  20. Multiresidue method to quantify pesticides in fish muscle by QuEChERS-based extraction and LC-MS/MS.

    Science.gov (United States)

    Lazartigues, Angélique; Wiest, Laure; Baudot, Robert; Thomas, Marielle; Feidt, Cyril; Cren-Olivé, Cécile

    2011-06-01

    Pesticide residues in fish muscle are an environmental and a health safety concern which requires analytical methods presenting high sensitivity and low limits of quantification. In this study, adapted QuEChERS method, coupled to liquid chromatography tandem mass spectrometry (Scheduled MRM-5500 QTRAP), was developed to quantify 13 pesticides (azoxystrobin, clomazone, diflufenican, dimethachlor, carbendazim, iprodion, isoproturon, mesosulfuron-methyl, metazachlor, napropamid, quizalofop and thifensulfuron-methyl) in muscle of fish. Quantification limits were below 1 ng g(-1) except for clomazone (1.8 ng g(-1)) and quizalofop (7.4 ng g(-1)). Best recoveries were observed for perch (>80%) and roach (>68%), except for thifensulfuron-methyl. Lower recoveries had been observed for carp (6% to 86%). Relative standard deviation was lower than 28% for intra-day and 29% for inter-day analysis, respectively. This method was successfully tested on three fish species, naturally or orally exposed: roach (Rutilus rutilus), perch (Perca fluviatilis) and carp (Cyprinus carpio). Few levels were observed in fish naturally exposed, but carp and perch orally contaminated showed measurable levels in their muscles.

  1. Fast title extraction method for business documents

    Science.gov (United States)

    Katsuyama, Yutaka; Naoi, Satoshi

    1997-04-01

    Conventional electronic document filing systems are inconvenient because the user must specify the keywords in each document for later searches. To solve this problem, automatic keyword extraction methods using natural language processing and character recognition have been developed. However, these methods are slow, especially for japanese documents. To develop a practical electronic document filing system, we focused on the extraction of keyword areas from a document by image processing. Our fast title extraction method can automatically extract titles as keywords from business documents. All character strings are evaluated for similarity by rating points associated with title similarity. We classified these points as four items: character sitting size, position of character strings, relative position among character strings, and string attribution. Finally, the character string that has the highest rating is selected as the title area. The character recognition process is carried out on the selected area. It is fast because this process must recognize a small number of patterns in the restricted area only, and not throughout the entire document. The mean performance of this method is an accuracy of about 91 percent and a 1.8 sec. processing time for an examination of 100 Japanese business documents.

  2. A comparison of DNA extraction methods using Petunia hybrida tissues.

    Science.gov (United States)

    Tamari, Farshad; Hinkley, Craig S; Ramprashad, Naderia

    2013-09-01

    Extraction of DNA from plant tissue is often problematic, as many plants contain high levels of secondary metabolites that can interfere with downstream applications, such as the PCR. Removal of these secondary metabolites usually requires further purification of the DNA using organic solvents or other toxic substances. In this study, we have compared two methods of DNA purification: the cetyltrimethylammonium bromide (CTAB) method that uses the ionic detergent hexadecyltrimethylammonium bromide and chloroform-isoamyl alcohol and the Edwards method that uses the anionic detergent SDS and isopropyl alcohol. Our results show that the Edwards method works better than the CTAB method for extracting DNA from tissues of Petunia hybrida. For six of the eight tissues, the Edwards method yielded more DNA than the CTAB method. In four of the tissues, this difference was statistically significant, and the Edwards method yielded 27-80% more DNA than the CTAB method. Among the different tissues tested, we found that buds, 4 days before anthesis, had the highest DNA concentrations and that buds and reproductive tissue, in general, yielded higher DNA concentrations than other tissues. In addition, DNA extracted using the Edwards method was more consistently PCR-amplified than that of CTAB-extracted DNA. Based on these results, we recommend using the Edwards method to extract DNA from plant tissues and to use buds and reproductive structures for highest DNA yields.

  3. [Research on modeling method to analyze Lonicerae Japonicae Flos extraction process with online MEMS-NIR based on two types of error detection theory].

    Science.gov (United States)

    Du, Chen-Zhao; Wu, Zhi-Sheng; Zhao, Na; Zhou, Zheng; Shi, Xin-Yuan; Qiao, Yan-Jiang

    2016-10-01

    To establish a rapid quantitative analysis method for online monitoring of chlorogenic acid in aqueous solution of Lonicera Japonica Flos extraction by using micro-electromechanical near infrared spectroscopy (MEMS-NIR). High performance liquid chromatography(HPLC) was used as reference method.Kennard-Stone (K-S) algorithm was used to divide sample sets, and partial least square(PLS) regression was adopted to establish the multivariate analysis model between the HPLC analysis contents and NIR spectra. The synergy interval partial least squares (SiPLS) was used to selected modeling waveband to establish PLS models. RPD was used to evaluate the prediction performance of the models. MDLs was calculated based on two types of error detection theory, on-line analytical modeling approach of Lonicera Japonica Flos extraction process was expressed scientifically by MDL. The result shows that the model established by multiplicative scatter correction(MSC) was the best, with the root mean square with cross validation(RMSECV), root mean square error of correction(RMSEC) and root mean square error of prediction(RMSEP) of chlorogenic acid as 1.707, 1.489, 2.362, respectively, the determination coefficient of the calibration model was 0.998 5, and the determination coefficient of the prediction was 0.988 1.The value of RPD is 9.468.The MDL (0.042 15 g•L⁻¹) selected by SiPLS is less than the original,which demonstrated that SiPLS was beneficial to improve the prediction performance of the model. In this study, a more accurate expression of the prediction performance of the model from the two types of error detection theory, to further illustrate MEMS-NIR spectroscopy can be used for on-line monitoring of Lonicera Japonica Flos extraction process. Copyright© by the Chinese Pharmaceutical Association.

  4. Comparison of a novel extraction-based colorimetric (ABTS) method with membrane introduction mass spectrometry (MIMS): trichloramine dynamics in pool water.

    Science.gov (United States)

    Soltermann, Fabian; Widler, Tobias; Canonica, Silvio; von Gunten, Urs

    2014-07-01

    Trichloramine is a hazardous disinfection by-product, which is present in chlorinated swimming pools. Although it is primarily taken up by inhalation, the concentration in pool water is important to monitor pool water quality and to assess trichloramine mitigation strategies. To date, scarce data is available on trichloramine concentration in pool water due to the lack of a suitable and easily applicable analytical method. This study presents a novel low cost, colorimetric method which is easy to operate and suitable for on-site measurements of trichloramine concentrations ≥0.05 μM (≥0.01 mg L(-1) as Cl2). The analytical method (termed "extraction-based ABTS method") consists of, (i) trichloramine stripping from pool water samples, (ii) passing it through a solid phase filter, composed of silica gel impregnated with sulfamic acid to eliminate interferences and (iii) trichloramine reaction with the indicator 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) to produce the coloured ABTS(•-) radical, which is measured at λ = 405 nm to determine the trichloramine concentration in the pool water sample. A comparison of the extraction-based ABTS method with membrane introduction mass spectrometry (MIMS) for 28 pool samples revealed a good correlation of the two methods. The trichloramine concentration in pool samples is correlated to HOCl, which is the most important factor for its formation. Other parameters such as combined chlorine and pH play a minor role while no correlation between trichloramine and the urea or the TOC concentration was observed. On-site measurements with MIMS in a wading pool over 6 days with a time resolution of 1 h confirmed that trichloramine concentrations strongly responded to changes in free chlorine concentrations. A diurnal measurement of trichloramine with a time resolution of 20 min revealed that trichloramine concentrations reacted quickly and sensitively to the bather load and that urea is

  5. A Novel Method for HBT Intrinsic Collector Resistance Extraction from S-parameters

    DEFF Research Database (Denmark)

    Johansen, Tom Keinicke; Krozer, Viktor; Hadziabdic, Dzenan;

    2007-01-01

    In this paper the extraction of series resistances for high-speed InP DHBT devices is investigated. Known extraction methods based on measured S-parameters are reviewed and error terms are identified. A novel method for intrinsic collector resistance extraction is proposed. The method is based on S...

  6. Study on Edge Extraction Methods for Image-based Icing On-line Monitoring on Overhead Transmission Lines%输电线路覆冰图像边缘提取方法研究

    Institute of Scientific and Technical Information of China (English)

    王小朋; 胡建林; 吴彬

    2008-01-01

    A new method of measuring the icing thickness of transmission lines on-line is proposed in this paper. In this method, the pictures of transmission lines which are photoed by the camera on the iron tower are processed immediately to extract the edges of the transmission line conductor and transmission line insulators. The icing thickness can be gained by comparing the edges of the iced transmission line and the uniced one. Two icing image edge extraction methods are described in detail, that is, a method based on the combination of the wavelet transform and the floating threshold method and a method based on the combination of the optimal threshold method and the mathematical morphology transform. The icing images from the artificial climatic chamber and transmission lines are used to test the methods above. The results show that the method based on the wavelet transform and the floating threshold method does well in the extraction of relatively smooth edges, such as glaze icing on conductor and icing on the insulator;meanwhile, the method based on the optimal threshold method and the mathematical morphology transform does well in the edge extraction of icing on the conductor, especially the opaque rime icing on the conductor with complicated edges.

  7. Method Specific Calibration Corrects for DNA Extraction Method Effects on Relative Telomere Length Measurements by Quantitative PCR

    Science.gov (United States)

    Holland, Rebecca; Underwood, Sarah; Fairlie, Jennifer; Psifidi, Androniki; Ilska, Joanna J.; Bagnall, Ainsley; Whitelaw, Bruce; Coffey, Mike; Banos, Georgios; Nussey, Daniel H.

    2016-01-01

    Telomere length (TL) is increasingly being used as a biomarker in epidemiological, biomedical and ecological studies. A wide range of DNA extraction techniques have been used in telomere experiments and recent quantitative PCR (qPCR) based studies suggest that the choice of DNA extraction method may influence average relative TL (RTL) measurements. Such extraction method effects may limit the use of historically collected DNA samples extracted with different methods. However, if extraction method effects are systematic an extraction method specific (MS) calibrator might be able to correct for them, because systematic effects would influence the calibrator sample in the same way as all other samples. In the present study we tested whether leukocyte RTL in blood samples from Holstein Friesian cattle and Soay sheep measured by qPCR was influenced by DNA extraction method and whether MS calibration could account for any observed differences. We compared two silica membrane-based DNA extraction kits and a salting out method. All extraction methods were optimized to yield enough high quality DNA for TL measurement. In both species we found that silica membrane-based DNA extraction methods produced shorter RTL measurements than the non-membrane-based method when calibrated against an identical calibrator. However, these differences were not statistically detectable when a MS calibrator was used to calculate RTL. This approach produced RTL measurements that were highly correlated across extraction methods (r > 0.76) and had coefficients of variation lower than 10% across plates of identical samples extracted by different methods. Our results are consistent with previous findings that popular membrane-based DNA extraction methods may lead to shorter RTL measurements than non-membrane-based methods. However, we also demonstrate that these differences can be accounted for by using an extraction method-specific calibrator, offering researchers a simple means of accounting for

  8. Method Specific Calibration Corrects for DNA Extraction Method Effects on Relative Telomere Length Measurements by Quantitative PCR.

    Science.gov (United States)

    Seeker, Luise A; Holland, Rebecca; Underwood, Sarah; Fairlie, Jennifer; Psifidi, Androniki; Ilska, Joanna J; Bagnall, Ainsley; Whitelaw, Bruce; Coffey, Mike; Banos, Georgios; Nussey, Daniel H

    2016-01-01

    Telomere length (TL) is increasingly being used as a biomarker in epidemiological, biomedical and ecological studies. A wide range of DNA extraction techniques have been used in telomere experiments and recent quantitative PCR (qPCR) based studies suggest that the choice of DNA extraction method may influence average relative TL (RTL) measurements. Such extraction method effects may limit the use of historically collected DNA samples extracted with different methods. However, if extraction method effects are systematic an extraction method specific (MS) calibrator might be able to correct for them, because systematic effects would influence the calibrator sample in the same way as all other samples. In the present study we tested whether leukocyte RTL in blood samples from Holstein Friesian cattle and Soay sheep measured by qPCR was influenced by DNA extraction method and whether MS calibration could account for any observed differences. We compared two silica membrane-based DNA extraction kits and a salting out method. All extraction methods were optimized to yield enough high quality DNA for TL measurement. In both species we found that silica membrane-based DNA extraction methods produced shorter RTL measurements than the non-membrane-based method when calibrated against an identical calibrator. However, these differences were not statistically detectable when a MS calibrator was used to calculate RTL. This approach produced RTL measurements that were highly correlated across extraction methods (r > 0.76) and had coefficients of variation lower than 10% across plates of identical samples extracted by different methods. Our results are consistent with previous findings that popular membrane-based DNA extraction methods may lead to shorter RTL measurements than non-membrane-based methods. However, we also demonstrate that these differences can be accounted for by using an extraction method-specific calibrator, offering researchers a simple means of accounting for

  9. Influence of extraction method on protein profile of soybeans

    OpenAIRE

    Pavlićević Milica Ž.; Stanojević Slađana P.; Vucelić-Radović Biljana V.

    2013-01-01

    Comparison between protein profiles of soybean obtained by commonly used methods of extraction (Tris buffer and Tris-urea buffer) with methods used for extraction of plant proteins for 2D PAGE analysis (direct solubilization in IEF buffer, acetone extraction, phenol extraction, extraction with urea solubilization buffer and thiourea-urea extraction) was investigated. 2D profiles of samples extracted directly in IEF buffer, in urea solubilization buffer and in acetone were characterized ...

  10. A New Method to Extract Text from Natural Scenes

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper presents a new method for text detection, location and binarization fron natural scenes. Several morphological steps are used to detect the general positian of the text, including English, Chinese and Japanese characters. Next bounding boxes are processed by a new "Expand, Break and Merge" (EBM) method to get the precise text areas. Finally, text is binarized by a hybrid method based on Otsu and Niblack. This new approach can extract different kinds of text from complicated natural scenes. It is insensitive to noise, distortedness, and text orientation. It also has good performance on extracting texts in various sizes.

  11. THE METHODS OF EXTRACTING WATER INFORMATION FROM SPOT IMAGE

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Some techniques and methods for deriving water information from SPOT -4 (XI) image were investigatedand discussed in this paper. An algorithm of decision-tree (DT) classification which includes several classifiers based onthe spectral responding characteristics of water bodies and other objects, was developed and put forward to delineate wa-ter bodies. Another algorithm of decision-tree classification based on both spectral characteristics and auxiliary informa-tion of DEM and slope (DTDS) was also designed for water bodies extraction. In addition, supervised classificationmethod of maximum-likelyhood classification (MLC), and unsupervised method of interactive self-organizing dada analy-sis technique (ISODATA) were used to extract waterbodies for comparison purpose. An index was designed and used toassess the accuracy of different methods adopted in the research. Results have shown that water extraction accuracy wasvariable with respect to the various techniques applied. It was low using ISODATA, very high using DT algorithm andmuch higher using both DTDS and MLC.

  12. A method for extracting multi-organ from four-phase contrasted CT images based on CT value distribution estimation using EM-algorithm

    Science.gov (United States)

    Sakashita, Makiko; Kitasaka, Takayuki; Mori, Kensaku; Suenaga, Yasuhito; Nawano, Shigeru

    2007-03-01

    This paper presents a method for extracting multi-organs from four-phase contrasted CT images taken at different contrast timings (non-contrast, early, portal, and late phases). First, we apply a median filter to each CT image and align four-phase CT images by performing non-rigid volumetric image registration. Then, a three-dimensional joint histogram of CT values is computed from three-phase (early-, portal-, and late-) CT images. We assume that this histogram is a mixture of normal distributions corresponding to the liver, spleen, kidney, vein, artery, muscle, and bone regions. The EM algorithm is employed to estimate each normal distribution. Organ labels are assigned to each voxel using the mahalanobis distance measure. Connected component analysis is applied to correct the shape of each organ region. After that, the pancreas region is extracted from non-contrasted CT images in which other extracted organs and vessel regions are excluded. The EM algorithm is also employed for estimating the distribution of CT values inside the pancreas. We applied this method to seven cases of four-phase CT images. Extraction results show that the proposed method extracted multi-organs satisfactorily.

  13. Extracting Answer in QA System: Learning Based

    Directory of Open Access Journals (Sweden)

    Megha Mishra

    2012-06-01

    Full Text Available Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language question to an effective query. The method involves querying a search engine for web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword based approach.

  14. Method for Extracting and Sequestering Carbon Dioxide

    Energy Technology Data Exchange (ETDEWEB)

    Rau, Gregory H.; Caldeira, Kenneth G.

    2005-05-10

    A method and apparatus to extract and sequester carbon dioxide (CO2) from a stream or volume of gas wherein said method and apparatus hydrates CO2, and reacts the resulting carbonic acid with carbonate. Suitable carbonates include, but are not limited to, carbonates of alkali metals and alkaline earth metals, preferably carbonates of calcium and magnesium. Waste products are metal cations and bicarbonate in solution or dehydrated metal salts, which when disposed of in a large body of water provide an effective way of sequestering CO2 from a gaseous environment.

  15. Study on extracting method of single slope surface shape based on DEM:taking Wanzhou district of three gorges reservoir area as example

    Institute of Scientific and Technical Information of China (English)

    ZHOU Qi-gang; YUAN Li-feng

    2007-01-01

    This paper focused on the extracting method of single slope shape. Applying the software of ARCGIS 9.0, DEM (digital elevation model) was established. From the DEM, topographic characters, including valleys and ridges were extracted. Some valley lines were extended in order to intersect with the ridges nearby. All slope were divided into different slope surface, which enclosed by valleys and ridges. And the slope surface shapes were defined three types, Line Slope, Upper-concave and lower-convex slope, Upper-convex and lower-concave slope, according to their functions. And the judge formula of single slope surface shape was brought forward. Taking Wanzhou District as test area, it indicates that auto-extracting method of single slope surface shape has high precision relatively. This study can provide references to the studies of region geological disasters prevention and cure.

  16. A cell extraction method for oily sediments

    Directory of Open Access Journals (Sweden)

    Michael eLappé

    2011-11-01

    Full Text Available Hydrocarbons can be found in many different habitats and represent an important carbon source for microbes. As fossil fuels, they are also an important economical resource, through natural seepage or accidental release they can also be major pollutants. DNA-specific stains and molecular probes bind to hydrocarbons, causing massive background fluorescence and thereby hampering cell enumeration. The cell extraction procedure of Kallmeyer et al. (2008 separates the cells from the sediment matrix. In principle, this technique can also be used to separate cells from oily sediments, but it is not optimized for this application.Here we present a modified extraction method in which the hydrocarbons are removed prior to cell extraction. Due to the reduced background fluorescence the microscopic image becomes clearer, making cell identification and enumeration much easier. Consequently, the resulting cell counts from samples treated according to our new protocol are significantly higher than those treated according to Kallmeyer et al. (2008. We tested different amounts of a variety of solvents for their ability to remove hydrocarbons and found that n-hexane and – in samples containing more biodegraded oils – methanol, delivered the best results. However, as solvents also tend to lyse cells, it was important to find the optimum solvent to sample ratio, at which hydrocarbon extraction is maximised and cell lysis minimized. A ratio between slurry and solvent of 1:2 to 1:5 delivered the highest cell counts without lysing too many cells. The method provided reproducibly good results on samples from very different environments, both marine and terrestrial.

  17. Virgin almond oil: Extraction methods and composition

    Directory of Open Access Journals (Sweden)

    Roncero, J. M.

    2016-09-01

    Full Text Available In this paper the extraction methods of virgin almond oil and its chemical composition are reviewed. The most common methods for obtaining oil are solvent extraction, extraction with supercritical fluids (CO2 and pressure systems (hydraulic and screw presses. The best industrial performance, but also the worst oil quality is achieved by using solvents. Oils obtained by this method cannot be considered virgin oils as they are obtained by chemical treatments. Supercritical fluid extraction results in higher quality oils but at a very high price. Extraction by pressing becomes the best option to achieve high quality oils at an affordable price. With regards chemical composition, almond oil is characterized by its low content in saturated fatty acids and the predominance of monounsaturated, especially oleic acid. Furthermore, almond oil contains antioxidants and fat-soluble bioactive compounds that make it an oil with interesting nutritional and cosmetic properties.En este trabajo se revisan los métodos de extracción del aceite de almendra virgen y su composición química. Los métodos más habituales para la obtención del aceite son la extracción con disolventes, la extracción con fluidos supercríticos (CO2 y los sistemas de presión (prensas hidráulica y de tornillo. El mayor rendimiento industrial, pero también la peor calidad de los aceites, se consigue mediante el uso de disolventes. Además, los aceites obtenidos por este método no se pueden considerar vírgenes, pues se obtienen por medio de tratamientos químicos. La extracción con fluidos supercríticos da lugar a aceites de mayor calidad pero a un precio muy elevado. La extracción mediante prensado se convierte en la mejor opción de extracción, al conseguir aceites de alta calidad a un precio asequible. En cuanto a su composición química, el aceite de almendra se caracteriza por su bajo contenido en ácidos grasos saturados y el predominio de los monoinsaturados, en

  18. A single-reagent method for the speciation of chromium in natural waters by flame atomic absorption spectrometry based on vesicular liquid coacervate extraction

    Science.gov (United States)

    Tsogas, George Z.; Giokas, Dimosthenis L.; Vlessidis, Athanasios G.; Evmiridis, Nicholaos P.

    2004-07-01

    The concept of liquid coacervate extraction (LCE) is deployed to accomplish metal speciation after appropriate derivatization of the target metallic species. The method involves the partitioning of the hydrophobic metal chelates, produced from the reaction of Cr with APDC, in the vesicular aggregates formed from an anionic surfactant with alkaline earth metals and a cosurfactant, which are separated from the bulk aqueous phase. Under the established experimental conditions, the method offers high reproducibility, very low detection limits and recoveries in the range of 95-104%. Moreover, the method affords high tolerance for EDTA, which is used as a masking agent in order to avoid interferences from co-extracted metals. Validation of the outlined method was performed by analysing a certified reference material (BCR 544) yielding recoveries higher than 94% for both Cr oxidation states.

  19. A single-reagent method for the speciation of chromium in natural waters by flame atomic absorption spectrometry based on vesicular liquid coacervate extraction

    Energy Technology Data Exchange (ETDEWEB)

    Tsogas, George Z.; Giokas, Dimosthenis L. E-mail: dgiokas@cc.uoi.gr; Vlessidis, Athanasios G.; Evmiridis, Nicholaos P

    2004-07-30

    The concept of liquid coacervate extraction (LCE) is deployed to accomplish metal speciation after appropriate derivatization of the target metallic species. The method involves the partitioning of the hydrophobic metal chelates, produced from the reaction of Cr with APDC, in the vesicular aggregates formed from an anionic surfactant with alkaline earth metals and a cosurfactant, which are separated from the bulk aqueous phase. Under the established experimental conditions, the method offers high reproducibility, very low detection limits and recoveries in the range of 95-104%. Moreover, the method affords high tolerance for EDTA, which is used as a masking agent in order to avoid interferences from co-extracted metals. Validation of the outlined method was performed by analysing a certified reference material (BCR 544) yielding recoveries higher than 94% for both Cr oxidation states.

  20. A review on solid phase extraction of actinides and lanthanides with amide based extractants.

    Science.gov (United States)

    Ansari, Seraj A; Mohapatra, Prasanta K

    2017-05-26

    Solid phase extraction is gaining attention from separation scientists due to its high chromatographic utility. Though both grafted and impregnated forms of solid phase extraction resins are popular, the later is easy to make by impregnating a given organic extractant on to an inert solid support. Solid phase extraction on an impregnated support, also known as extraction chromatography, combines the advantages of liquid-liquid extraction and the ion exchange chromatography methods. On the flip side, the impregnated extraction chromatographic resins are less stable against leaching out of the organic extractant from the pores of the support material. Grafted resins, on the other hand, have a higher stability, which allows their prolong use. The goal of this article is a brief literature review on reported actinide and lanthanide separation methods based on solid phase extractants of both the types, i.e., (i) ligand impregnation on the solid support or (ii) ligand functionalized polymers (chemically bonded resins). Though the literature survey reveals an enormous volume of studies on the extraction chromatographic separation of actinides and lanthanides using several extractants, the focus of the present article is limited to the work carried out with amide based ligands, viz. monoamides, diamides and diglycolamides. The emphasis will be on reported applied experimental results rather than on data pertaining fundamental metal complexation. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Different extraction methods of biologically active components from propolis: a preliminary study

    Directory of Open Access Journals (Sweden)

    Bankova Vassya

    2007-06-01

    Full Text Available Abstract Background Propolis is widely used in apitherapy, preparations, and food and beverage additives. Various extraction techniques were applied in the extraction of the biologically active constituents of poplar type propolis in order to compare their efficiency. The methods employed were: traditional maceration extraction, ultrasound extraction (UE, and microwave assisted extraction (MAE. Results The total amounts of extracted phenolics and flavonoids were determined, and the effectiveness of the methods compared. MAE was very rapid but led to the extraction of a large amount of non-phenolic and non-flavonoid material. UE gave the highest percentage of extracted phenolics. Conclusion Compared to the maceration extraction, MAE and UE methods provided high extraction yield, requiring short timeframes and less labour. UE was shown to be the most efficient method based on yield, extraction time and selectivity.

  2. New method based on combining ultrasonic assisted miniaturized matrix solid-phase dispersion and homogeneous liquid-liquid extraction for the determination of some organochlorinated pesticides in fish

    Energy Technology Data Exchange (ETDEWEB)

    Rezaei, Farahnaz [Department of Analytical Chemistry, Faculty of Chemistry, Iran University of Science and Technology, Narmak, Tehran 16846 (Iran, Islamic Republic of); Hosseini, Mohammad-Reza Milani, E-mail: drmilani@iust.ac.ir [Department of Analytical Chemistry, Faculty of Chemistry, Iran University of Science and Technology, Narmak, Tehran 16846 (Iran, Islamic Republic of); Electroanalytical Chemistry Research Center, Iran University of Science and Technology, Narmak, Tehran 16846 (Iran, Islamic Republic of)

    2011-09-30

    Highlights: {yields} Ultrasonic assisted miniaturized matrix solid-phase dispersion combined with HLLE was developed as a new method for the extraction of OCPs in fish. {yields} The goal of this combination was to enhance the selectivity of HLLE procedure and to extend its application in biological samples. {yields} This method proposed the advantages of good detection limits, lower consumption of reagents, and does not need any special instrumentation. - Abstract: In this study, ultrasonic assisted miniaturized matrix solid-phase dispersion (US-MMSPD) combined with homogeneous liquid-liquid extraction (HLLE) has been developed as a new method for the extraction of organochlorinated pesticides (OCPs) in fish prior to gas chromatography with electron capture detector (GC-ECD). In the proposed method, OCPs (heptachlor, aldrin, DDE, DDD, lindane and endrin) were first extracted from fish sample into acetonitrile by US-MMSPD procedure, and the extract was then used as consolute solvent in HLLE process. Optimal condition for US-MMSPD step was as follows: volume of acetonitrile, 1.5 mL; temperature of ultrasound, 40 deg. C; time of ultrasound, 10 min. For HLLE step, optimal results were obtained at the following conditions: volume of chloroform, 35 {mu}L; volume of aqueous phase, 1.5 mL; volume of double distilled water, 0.5 mL; time of centrifuge, 10 min. Under the optimum conditions, the enrichment factors for the studied compounds were obtained in the range of 185-240, and the overall recoveries were ranged from 39.1% to 81.5%. The limits of detection were 0.4-1.2 ng g{sup -1} and the relative standard deviations for 20 ng g{sup -1} of the OCPs, varied from 3.2% to 8% (n = 4). Finally, the proposed method has been successfully applied to the analysis of the OCPs in real fish sample, and satisfactory results were obtained.

  3. 一种基于文本特征提取的版权保护方法%New Copyright Protection Method Based on Text Feature Extraction

    Institute of Scientific and Technical Information of China (English)

    雷军程; 黄同成; 柳小文

    2012-01-01

    On the Internet, the illegal copying and piracy of text are becoming increasingly serious,so there is an urgent need for effective text copyright protection method. This paper proposed a new text copyright protection method based on text feature extraction and text classification techniques. The experiments show that the proposed algorithm can distinguish the different authors and can effectively classify a controversial literary works, and identify the real author. Therefore the method can assist to resolve the copyright disputes of dispute works (especially the famous works) to maintain integrity.%互联网上,文本非法复制和盗版现象日益严重,因此迫切需要有效的文本版权保护方案.借助于特征提取方法和文本分类技术,针对具有版权争议的文字作品,提出了一种基于文本特征提取的作者识别方法.实验结果表明,提出的算法能够区别出不同作者的文字作品,能有效地把一个具有争议的文字作品进行分类,并识别出作者.因此该方法可以辅助解决争议作品(特别是著名作者的争议作品)的版权纠纷,打击盗版,维护诚信.

  4. Determination of polychlorinated biphenyls in fish: optimisation and validation of a method based on accelerated solvent extraction and gas chromatography-mass spectrometry.

    Science.gov (United States)

    Ottonello, Giuliana; Ferrari, Angelo; Magi, Emanuele

    2014-01-01

    A simple and robust method for the determination of 18 polychlorinated biphenyls (PCBs) in fish was developed and validated. A mixture of acetone/n-hexane (1:1, v/v) was selected for accelerated solvent extraction (ASE). After the digestion of fat, the clean-up was carried out using solid phase extraction silica cartridges. Samples were analysed by GC-MS in selected ion monitoring (SIM) using three fragment ions for each congener (one quantifier and two qualifiers). PCB 155 and PCB 198 were employed as internal standards. The lowest limit of detection was observed for PCB 28 (0.4ng/g lipid weight). The accuracy of the method was verified by means of the Certified Reference Material EDF-2525 and good results in terms of linearity (R(2)>0.994) and recoveries (80-110%) were also achieved. Precision was evaluated by spiking blank samples at 4, 8 and 12ng/g. Relative standard deviation values for repeatability and reproducibility were lower than 8% and 16%, respectively. The method was applied to the determination of PCBs in 80 samples belonging to four Mediterranean fish species. The proposed procedure is particularly effective because it provides good recoveries with lowered extraction time and solvent consumption; in fact, the total time of extraction is about 12min per sample and, for the clean-up step, a total solvent volume of 13ml is required. Copyright © 2013 Elsevier Ltd. All rights reserved.

  5. Microscale extraction method for HPLC carotenoid analysis in vegetable matrices

    Directory of Open Access Journals (Sweden)

    Sidney Pacheco

    2014-10-01

    Full Text Available In order to generate simple, efficient analytical methods that are also fast, clean, and economical, and are capable of producing reliable results for a large number of samples, a micro scale extraction method for analysis of carotenoids in vegetable matrices was developed. The efficiency of this adapted method was checked by comparing the results obtained from vegetable matrices, based on extraction equivalence, time required and reagents. Six matrices were used: tomato (Solanum lycopersicum L., carrot (Daucus carota L., sweet potato with orange pulp (Ipomoea batatas (L. Lam., pumpkin (Cucurbita moschata Duch., watermelon (Citrullus lanatus (Thunb. Matsum. & Nakai and sweet potato (Ipomoea batatas (L. Lam. flour. Quantification of the total carotenoids was made by spectrophotometry. Quantification and determination of carotenoid profiles were formulated by High Performance Liquid Chromatography with photodiode array detection. Microscale extraction was faster, cheaper and cleaner than the commonly used one, and advantageous for analytical laboratories.

  6. A cell extraction method for oily sediments

    Science.gov (United States)

    Lappé, M.; Kallmeyer, J.

    2012-04-01

    Hydrocarbons can be found in many different habitats and represent an important carbon source for microbes. As fossil fuels, they are an important economical resource and, through natural seepage or accidental release, they can be major pollutants. Oil sands from Alberta, Canada, and samples from the seafloor of the Gulf of Mexico represent typical examples of either natural or anthropogenically affected oily sediments. DNA-specific stains and molecular probes bind to hydrocarbons, causing massive background fluorescence and thereby massively hampering cell enumeration. The cell extraction procedure of Kallmeyer et al. (2008) separates the cells from the sediment matrix, producing a sediment free cell extract that can then be used for subsequent staining and cell enumeration under a fluorescence microscope. In principle, this technique can also be used to separate cells from oily sediments, but it was not originally optimized for this application and does not provide satisfactory results. Here we present a modified extraction method in which the hydrocarbons are removed prior to cell extraction by a solvent treatment. Due to the reduced background fluorescence the microscopic image becomes clearer, making cell identification and enumeration much easier. Consequently, the resulting cell counts from oily samples treated according to our new protocol were significantly higher than those treated according to Kallmeyer et al. (2008). We tested different amounts of a variety of solvents for their ability to remove hydrocarbons and found that n-hexane and - in samples containing more biodegraded oils - methanol, delivered the best results. Because solvents also tend to lyse cells, it was important to find the optimum solvent to sample ratio, at which the positive effect of hydrocarbon extraction overcomes the negative effect of cell lysis. A volumetric ratio of 1:2 to 1:5 between a formalin-fixed sediment slurry and solvent delivered highest cell counts. Extraction

  7. 基于凸壳与有向包围盒的骨架提取方法%Skeleton Extraction Method Based on Convex Hull and OBB

    Institute of Scientific and Technical Information of China (English)

    林佼; 李重; 金小刚; 李亮

    2012-01-01

    为获取三维模型的几何及拓扑信息,提出一种基于凸壳与有向包围盒(OBB)的线性骨架提取方法.首先将三维网格模型进行分割生成多个子网格模型;然后对各子网格中的点集求取凸壳作为该子网格点集的近似,由凸壳顶点的形心构成原始骨架点;再用OBB进行重叠计算求出相交点集,以生成关节骨架点;最后对原始骨架点与关节骨架点进行连接,经冗余检测后形成完整骨架.实验结果表明,该方法快速、有效,提取出的骨架能保证连通性与中心性且能很好地提取关节骨架点,为蒙皮关节动画、模型形状分析等提供有效信息.%In order to obtain the geometry and topology of a 3D model, a skeleton extraction method based on the convex hull and the oriented bounding box (OBB) is presented in this paper. It firstly divides the mesh into several parts; computes the convex hull of each part's point set as its approximation, and uses the convex hull's centroid as the original skeleton point. Then it looks for the overlapping point set between two adjacent parts by using OBB, determines the centroid of the overlapping point set as the joint point. It finally connects original skeleton points with joint points and removes redundant points to get the entire skeleton. Experimental results show that this skeleton extraction method is simple, fast and effective. It guarantees the connectivity and centrality of the skeleton, which can provide useful information for skinning joint animation, 3D model shape analysis, etc.

  8. Correction method for line extraction in vision measurement.

    Directory of Open Access Journals (Sweden)

    Mingwei Shao

    Full Text Available Over-exposure and perspective distortion are two of the main factors underlying inaccurate feature extraction. First, based on Steger's method, we propose a method for correcting curvilinear structures (lines extracted from over-exposed images. A new line model based on the Gaussian line profile is developed, and its description in the scale space is provided. The line position is analytically determined by the zero crossing of its first-order derivative, and the bias due to convolution with the normal Gaussian kernel function is eliminated on the basis of the related description. The model considers over-exposure features and is capable of detecting the line position in an over-exposed image. Simulations and experiments show that the proposed method is not significantly affected by the exposure level and is suitable for correcting lines extracted from an over-exposed image. In our experiments, the corrected result is found to be more precise than the uncorrected result by around 45.5%. Second, we analyze perspective distortion, which is inevitable during line extraction owing to the projective camera model. The perspective distortion can be rectified on the basis of the bias introduced as a function of related parameters. The properties of the proposed model and its application to vision measurement are discussed. In practice, the proposed model can be adopted to correct line extraction according to specific requirements by employing suitable parameters.

  9. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

    Directory of Open Access Journals (Sweden)

    Chunhua Li

    2017-01-01

    Full Text Available Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

  10. Building Extraction from LIDAR Based Semantic Analysis

    Institute of Scientific and Technical Information of China (English)

    YU Jie; YANG Haiquan; TAN Ming; ZHANG Guoning

    2006-01-01

    Extraction of buildings from LIDAR data has been an active research field in recent years. A scheme for building detection and reconstruction from LIDAR data is presented with an object-oriented method which is based on the buildings' semantic rules. Two key steps are discussed: how to group the discrete LIDAR points into single objects and how to establish the buildings' semantic rules. In the end, the buildings are reconstructed in 3D form and three common parametric building models (flat, gabled, hipped) are implemented.

  11. Pattern Based Term Extraction Using ACABIT System

    CERN Document Server

    Takeuchi, Koichi; Koyama, Teruo; Daille, Béatrice; Romary, Laurent

    2009-01-01

    In this paper, we propose a pattern-based term extraction approach for Japanese, applying ACABIT system originally developed for French. The proposed approach evaluates termhood using morphological patterns of basic terms and term variants. After extracting term candidates, ACABIT system filters out non-terms from the candidates based on log-likelihood. This approach is suitable for Japanese term extraction because most of Japanese terms are compound nouns or simple phrasal patterns.

  12. 一种基于知识工程的DeepWeb信息抽取方法%A DeepWeb Information Extraction Method Based on Knowledge Engineering

    Institute of Scientific and Technical Information of China (English)

    乌尔柯西; 杨抒; 王业; 游香薷

    2016-01-01

    The information contained in DeepWeb is more and more huge with great value. But due to the factors that DeepWeb informa-tion is highly heterogeneous, autonomous, dynamic and incomplete, and the design style, page structure, display contents of DeepWeb theme website are different,and the use of JavaScript technology is widespread,the traditional extraction technology can’ t be effectively automated integration of high quality information contained in DeepWeb resources. Presents a DeepWeb extraction method based on knowledge engineering. The page mode,HTML structure and visual features of DeepWeb are analyzed and integrated. Applies HTML DOM tree parsing algorithm to match the template accorded with page mode,HTML structure and object information source by automatic or semi-automatic way,locating the information in DeepWeb to obtain the free text,structured and semi-structured data. Using a large number of site data with nested structure as data source,the effectiveness of extraction method is verified.%DeepWeb中蕴含的信息越发庞大并且价值可观。但是由于DeepWeb信息的高度异构性、自主性、动态性以及不完整性,DeepWeb主题性网站的设计风格、页面结构、显示内容的不同,JavaScript技术的广泛使用等因素,使传统的抽取技术无法有效自动化集成蕴含在DeepWeb中的高质量信息资源。提出一种基于KBE(知识工程)的DeepWeb信息抽取方法。通过对目标DeepWeb的页面模式、页面HTML结构、页面视觉信息等进行分析、整合,利用HTML DOM ( Document Object Model)树解析算法,自动或半自动方式匹配出符合页面模式、页面HTML结构以及目标信息源等元素的模板,来对Deep-Web中的信息进行定位,从而得到页面中的自由文本,结构化和半结构化数据。实验以大量嵌套结构的网站数据作为数据来源,验证了抽取方法的有效性。

  13. Method Comparison of Extraction of Gangue Yard Based on Remote Sensing%煤矸石堆场信息遥感提取方法对比

    Institute of Scientific and Technical Information of China (English)

    王鹏; 刘庆生; 刘高焕; 申文明; 李岩; 张朝忙; 董金发

    2013-01-01

    Gangue, as one of the industry-specific solid waste produced from coal mining and coal washing, ef-fects on around environment significantly. Therefore, monitoring of coal yard is essential for the management and protection of ecological environment. Before gangue yard detailed investigation, obtaining preliminary data of the location and area of gangue yard by remote sensing image is needed and good for subsequent investiga-tions. This article took the image of Landsat5 TM, received in September, 2011 as data source and did the radio-metric and geometric correction to the images. According to the composition and formation characteristics of gangue, we extracted the gangue yard with following two steps:firstly, got land classification information that is confused with gangue through spectral analysis and unsupervised classification;secondly, combined spectral in-formation and terrain, temperature and other ancillary information of the study region, and used four methods, i. e., unsupervised classification, supervised classification, spectrum-photometric method and hierarchical classifi-cation respectively to extract the gangue yard of the study area. By comparison of the above methods, we found that the unsupervised classification and supervised classification methods had a faster data extraction but with low extraction accuracy. The accuracy of spectrum-photometric method is a little higher than the former two methods. The hierarchical classification method has the highest accuracy in preliminary data extraction, and the identification accuracy of the gangue yard is up to 78%after post-processing. The result basically meets the re-quirement on dynamic supervision of gangue yard. Thus, these methods are also useful, as guidance, to continu-ing extract data of the area and location of the gangue yard under high resolution remote sensing images. Espe-cially, the hierarchical classification method is more suitable for gangue yard information extraction.%煤矸石作

  14. Comparison of DNA and RNA extraction methods for mummified tissues.

    Science.gov (United States)

    Konomi, Nami; Lebwohl, Eve; Zhang, David

    2002-12-01

    Nucleic acids extracted from mummified tissues are valuable materials for the study of ancient human beings. Significant difficulty in extracting nucleic acids from mummified tissues has been reported due to chemical modification and degradation. The goal of this study was to determine a method that is more efficient for DNA and RNA extraction from mummified tissues. Twelve mummy specimens were analyzed with 9 different nucleic acid extraction methods, including guanidium thiocyanate (GTC) and proteinase K/detergent based methods prepared in our laboratory or purchased. Glyceraldehyde 3-phosphate dehydrogenase DNA and beta-actin RNA were used as markers for the presence of adequate DNA and RNA, respectively, for PCR and RT-PCR amplification. Our results show that 5 M GTC is more efficient of releasing nucleic acids from mummified tissue than proteinase K/detergent, and phenol/chloroform extraction with an additional chloroform step is more efficient than phenol/chloroform along. We were able to isolate DNAs from all 12 specimens and RNAs from 8 of 12 specimens, and the nucleic acids were sufficient for PCR and RT-PCR analysis. We further tested hepatitis viruses including hepatitis B virus, hepatitis C virus, hepatitis G virus, and TT virus DNA, and fail to detect these viruses in all 12 specimens.

  15. A feature extraction method of the particle swarm optimization algorithm based on adaptive inertia weight and chaos optimization for Brillouin scattering spectra

    Science.gov (United States)

    Zhang, Yanjun; Zhao, Yu; Fu, Xinghu; Xu, Jinrui

    2016-10-01

    A novel particle swarm optimization algorithm based on adaptive inertia weight and chaos optimization is proposed for extracting the features of Brillouin scattering spectra. Firstly, the adaptive inertia weight parameter of the velocity is introduced to the basic particle swarm algorithm. Based on the current iteration number of particles and the adaptation value, the algorithm can change the weight coefficient and adjust the iteration speed of searching space for particles, so the local optimization ability can be enhanced. Secondly, the logical self-mapping chaotic search is carried out by using the chaos optimization in particle swarm optimization algorithm, which makes the particle swarm optimization algorithm jump out of local optimum. The novel algorithm is compared with finite element analysis-Levenberg Marquardt algorithm, particle swarm optimization-Levenberg Marquardt algorithm and particle swarm optimization algorithm by changing the linewidth, the signal-to-noise ratio and the linear weight ratio of Brillouin scattering spectra. Then the algorithm is applied to the feature extraction of Brillouin scattering spectra in different temperatures. The simulation analysis and experimental results show that this algorithm has a high fitting degree and small Brillouin frequency shift error for different linewidth, SNR and linear weight ratio. Therefore, this algorithm can be applied to the distributed optical fiber sensing system based on Brillouin optical time domain reflection, which can effectively improve the accuracy of Brillouin frequency shift extraction.

  16. Recognition of Instrument Color Pointer Based on Color Extracting Method%基于颜色提取方法的仪表彩色指针识别

    Institute of Scientific and Technical Information of China (English)

    冀辰宇; 阚一凡; 焦圣喜

    2012-01-01

    主要论述了利用颜色提取及图像分割技术对汽车仪表指针位置进行识别处理的原理、步骤以及具体的实现过程。通过使用彩色提取和形态学图像处理技术,成功地提取了仪表盘中红色的指针,确定圆心并利用角度法计算出指针仪表读数。颜色提取方法为HIS颜色空间的坐标区域表示法,与常见的先把仪表图像转化成灰度图再进行处理的方法比较,此方法对于彩色指针仪表的识别更简单有效。%This thesis mostly discusses the image processing and recognition means of the dial pointer position using the technology of color extracting and image segmentation. The red pointer on the dashboard has extracted successfully and confirm the central point of automobile dashboard with the technology of color extracting and image segmentation. Then calculate pointer numerical using angle method. The method of color extracting is coordinate regional representation of color space, and the common method is doing image processing after turning instrument image into grayimage. For the recognition of color pointer, coordinate regional representation of color space is more effective.

  17. 基于本体思想的网页信息抽取方法%Method of Web Information Extraction Based on Ontology Theory

    Institute of Scientific and Technical Information of China (English)

    刘丽娟; 张胤; 杨一

    2015-01-01

    为了抽取特定主题的网页信息,本文提出一种基于本体思想衡量主题相关度,以提高网页信息抽取质量的方法。该方法采用向量空间模型,结合特征词权值,利用本体思想分析并计算主题相关度,从而达到提高特定主题的网页信息抽取质量的目的。该方法不但简化了向量空间模型的维度计算,而且扩展了语义范围。最后采用一个分层体系结构的实际应用系统来演示该方法的实现过程。实际应用结果表明,该方法较准确抽取了特定主题的网页信息,同时降低了系统运算复杂度,提高了网页信息抽取的查全率和查准率,减少了网页信息的遗漏,提高了网页信息抽取的质量。%To get the Web information for a specific topic, it used an ontology method to measure the topic correlation, in order to improve the quality of Web information extraction. According to Vector Space Model ( VSM) , by calculating weights of feature words, the ontology method to calculate topic correlation is used. In this way, it improved the Web information extraction quality in specific topic. In this paper, the method not only simplified dimensional computing in VSM, but also extended the semantic range. A practical application system with layered architecture was used to demonstrate the implementation process of this meth-od. Practical application result shows that the proposed method is more accurate in extract Web information on specific topic, at the same time it reduces the computational complexity of the system, while improving the web information extraction recall and precision, thereby it reduces the missing pages of information, and improves the quality of Web information extraction.

  18. Extraction time and temperature affect the extraction efficiencies of coumarin and phenylpropanoids from Cinnamomum cassia bark using a microwave-assisted extraction method.

    Science.gov (United States)

    Kim, Jung-Hoon

    2017-09-15

    Microwave-assisted extraction (MAE), an efficient extraction tool, was employed to extract a coumarin and five phenylpropanoids (cinnamic acid, cinnamyl alcohol, cinnamaldehyde, 2-hydroxycinnamadehyde, and 2-methoxycinnamaldehyde) from Cinnamomum cassia bark using water as the extraction solvent. Six marker compounds were quantified by high-performance liquid chromatography-diode array detector using a validated analytical method. To investigate the influences of temperature and time on the extraction yields of the six marker compounds, the water extracts of C. cassia bark were prepared using a MAE method at six different extraction temperatures (70, 75, 80, 85, 90, and 95°C) and times (2, 4, 6, 8, 10, and 12min). Their influences were assessed by multiple regression analysis. The results obtained demonstrated that higher extraction temperature and longer extraction time positively affected coumarin and cinnamyl alcohol contents, but negatively affected extract contents of cinnamic acid, cinnamaldehyde and 2-hydroxycinnamaldehyde (all p-extraction of 2-methoxycinnamaldehyde was affected by both positively and negatively by increasing temperature and time. These changes during MAE were assumed by the chemical natures of the marker compounds with various functional groups. In conclusion, temperature and times significantly affected the extraction efficiencies of a coumarin and five phenylpropanoids from C. cassia bark when a water-based MAE method was used. This study provides a novel approach to the preparation of the water extract of C. cassia bark using MAE. Copyright © 2017 Elsevier B.V. All rights reserved.

  19. 基于光谱色的迷彩主色提取方法%Extraction Method of Dominant Colors of Pattern Painting Based on Spectrum Colors

    Institute of Scientific and Technical Information of China (English)

    喻钧; 刘飞鸿; 王占锋; 初苗

    2014-01-01

    针对采用聚类方法进行数码迷彩设计时存在提取主色的色度不稳定问题,提出一种基于光谱色的主色聚类中心确定算法。在建立CIE-XYZ系统的基础上对颜色的种类进行划分。将图像颜色从RGB空间转化到XYZ颜色空间,然后通过CIE-XYZ系统计算每一像素颜色的主波长、色纯度,并以主波长、色纯度为标准,选取初始聚类中心的颜色来代表背景图像的主色。实验结果表明:该算法实现的时间复杂度低,执行效率高。%Aiming at the chromaticity instability problem in the process of main-color extraction using clustering methods in digital camouflage design, this paper proposes an algorithm for determining the clustering center of dominant color based on spectral colors. On the basis of the CIE-XYZ system, the color type is classified by chromaticity. The image color space should be transformed from RGB to XYZ. The main wavelength and the color purity for each pixel are calculated in the CIE-XYZ system. Here the initial clustering center of the dominant color is selected for representing the dominant color of the background image. Experimental results show that the algorithm has low time complexity as well as high efficiency.

  20. Extraction Method of Shape Feature for Vegetables Based on Depth Image%基于深度图像的蔬果形状特征提取

    Institute of Scientific and Technical Information of China (English)

    李长勇; 曹其新

    2012-01-01

    The method of shape feature extraction based on depth image for the classification of tomatoes shape was proposed. Firstly, the shape of tomatoes was separated from the background through the segmentation of image in color space. Secondly, the point cloud of tomatoes was obtained by unitizing a 3-D machine vision measuring device. In order to implement the shape feature extraction of tomatoes in the same scale, the depth values of tomatoes were normalized. The depth map of tomatoes was formed according to the result of segment and the depth information of tomato. Further the depth map was sampled in polar coordinates and the sampling data was re-plotted in Cartesian coordinates. Finally, the depth image was re-plotted in the form of the Fourier transform in the Cartesian coordinates. The generic Fourier descriptor (GFD) was calculated based on depth map. The descriptor was characterized by the invariance of transformation of translation, rotation and scaling. The GFD based on depth image and the general GFD were successively used in the experiment of tomato grading. The result showed that the mean accuracy of the former classification was up to 92% and higher than the latter.%针对蔬果二维投影图像含形状信息量少而影响蔬果分级精度的问题,提出一种基于深度图像的蔬果形状特征描述方法,以番茄形状特征提取为例,对该方法进行了探讨.首先利用彩色图像信息将番茄从背景中分割出;其次通过三维机器视觉测量设备获取番茄的点云数据,并对待检测番茄的点云数据深度进行归一化处理;然后通过关联被分割出的番茄区域信息与深度信息得到了番茄的深度图,并对该深度图进行极坐标采样.通过在笛卡尔直角坐标下对采样结果进行傅里叶变换,获得了基于深度图像的通用傅里叶形状描述子,该描述子不仅能有效地描述番茄在深度和横向上的形状特征,同时还具有平移、旋转和缩放的不

  1. A rapid genotyping method for an obligate fungal pathogen, Puccinia striiformis f.sp. tritici, based on DNA extraction from infected leaf and Multiplex PCR genotyping

    Directory of Open Access Journals (Sweden)

    Enjalbert Jérôme

    2011-07-01

    Full Text Available Abstract Background Puccinia striiformis f.sp. tritici (PST, an obligate fungal pathogen causing wheat yellow/stripe rust, a serious disease, has been used to understand the evolution of crop pathogen using molecular markers. However, numerous questions regarding its evolutionary history and recent migration routes still remains to be addressed, which need the genotyping of a large number of isolates, a process that is limited by both DNA extraction and genotyping methods. To address the two issues, we developed here a method for direct DNA extraction from infected leaves combined with optimized SSR multiplexing. Findings We report here an efficient protocol for direct fungal DNA extraction from infected leaves, avoiding the costly and time consuming step of spore multiplication. The genotyping strategy we propose, amplified a total of 20 SSRs in three Multiplex PCR reactions, which were highly polymorphic and were able to differentiate different PST populations with high efficiency and accuracy. Conclusion These two developments enabled a genotyping strategy that could contribute to the development of molecular epidemiology of yellow rust disease, both at a regional or worldwide scale.

  2. An automated method for the analysis of phenolic acids in plasma based on ion-pairing micro-extraction coupled on-line to gas chromatography/mass spectrometry with in-liner derivatisation

    NARCIS (Netherlands)

    Peters, S.; Kaal, E.; Horsting, I.; Janssen, H.-G.

    2012-01-01

    A new method is presented for the analysis of phenolic acids in plasma based on ion-pairing ‘Micro-extraction in packed sorbent’ (MEPS) coupled on-line to in-liner derivatisation-gas chromatography-mass spectrometry (GC-MS). The ion-pairing reagent served a dual purpose. It was used both to improve

  3. An Effective History-based Background Extraction System

    Directory of Open Access Journals (Sweden)

    Fatimah Khalid

    2012-01-01

    Full Text Available Problem statement: In many visions-based surveillance systems, the first step is accomplished by detecting moving objects resulted from subtraction of the current captured frame from the extracted background. So, the results of these systems mainly depend on the accuracy of the background image. Approach: In this study, a proposed background extraction system is presented to model the background using a simple method, to initialize the model, to extract the moving objects and to construct the final background. Our model saves the history of each pixel separately. It uses the saved information to extract the background using a probability-based method. It updates the history of the pixel consequently and according to the value of that pixel in the current captured image. Results: Results of the experiments certify that not only the quality of the final extracted background is the best between four recently re-implemented methods, but also the time consumption of the extraction is acceptable. Conclusion: Since History-based methods use temporal information extracted from the several previous frames, they are less sensitive to noise and sudden changes for extracting the background image.

  4. Behavior Based Social Dimensions Extraction for Multi-Label Classification.

    Science.gov (United States)

    Li, Le; Xu, Junyi; Xiao, Weidong; Ge, Bin

    2016-01-01

    Classification based on social dimensions is commonly used to handle the multi-label classification task in heterogeneous networks. However, traditional methods, which mostly rely on the community detection algorithms to extract the latent social dimensions, produce unsatisfactory performance when community detection algorithms fail. In this paper, we propose a novel behavior based social dimensions extraction method to improve the classification performance in multi-label heterogeneous networks. In our method, nodes' behavior features, instead of community memberships, are used to extract social dimensions. By introducing Latent Dirichlet Allocation (LDA) to model the network generation process, nodes' connection behaviors with different communities can be extracted accurately, which are applied as latent social dimensions for classification. Experiments on various public datasets reveal that the proposed method can obtain satisfactory classification results in comparison to other state-of-the-art methods on smaller social dimensions.

  5. Integrated Phoneme Subspace Method for Speech Feature Extraction

    Directory of Open Access Journals (Sweden)

    Park Hyunsin

    2009-01-01

    Full Text Available Speech feature extraction has been a key focus in robust speech recognition research. In this work, we discuss data-driven linear feature transformations applied to feature vectors in the logarithmic mel-frequency filter bank domain. Transformations are based on principal component analysis (PCA, independent component analysis (ICA, and linear discriminant analysis (LDA. Furthermore, this paper introduces a new feature extraction technique that collects the correlation information among phoneme subspaces and reconstructs feature space for representing phonemic information efficiently. The proposed speech feature vector is generated by projecting an observed vector onto an integrated phoneme subspace (IPS based on PCA or ICA. The performance of the new feature was evaluated for isolated word speech recognition. The proposed method provided higher recognition accuracy than conventional methods in clean and reverberant environments.

  6. Development of a new sample preparation method based on liquid-liquid-liquid extraction combined with dispersive liquid-liquid microextraction and its application on unfiltered samples containing high content of solids.

    Science.gov (United States)

    Farajzadeh, Mir Ali; Abbaspour, Maryam

    2017-11-01

    A new sample preparation method based on liquid-liquid-liquid extraction combined with dispersive liquid-liquid microextraction followed by gas chromatography-flame ionization detection has been reported for the extraction/preconcentration and determination of trace levels of twelve pesticide residues from different samples with high content of solids without filtration. This method consists of a three-phase system including an aqueous phase (sample solution), acetonitrile, and hexane. The extraction mechanism is based on different affinities of the substances from the sample matrices towards each of the involved phase, which provides a high selectivity to the process. In other words, interfering hydrophobic compounds are transferred into hexane and will not be present in the final extract. Furthermore, ionic and polar compounds are retained in the aqueous phase. Therefore, only semi-polar compounds such as the studied pesticides are extracted into acetonitrile. In this method, a homogeneous solution of the aqueous phase and acetonitrile (a water-soluble extraction solvent) forms two clearly separated phases in the presence of sodium sulfate (as a phase separation agent) and simultaneously the analytes are extracted into the fine droplets of the acetonitrile collected on the surface of the aqueous phase. To achieve high enrichment factors, the acetonitrile phase is mixed with 1,2-dibromoethane (as a preconcentration solvent) at µL-level to perform the following dispersive liquid-liquid microextraction procedure. Several parameters that can affect extraction efficiency including kind and volume of extraction solvent, type and concentration of phase separation agent, hexane volume, kind of preconcentration solvent, and ionic strength were studied and optimized. Under the optimal conditions, extraction recoveries were obtained in the range of 53-93% and the calibration curves were linear in wide ranges with correlation coefficients ≥ 0.9983. Intra- (n = 6) and

  7. Vein image extraction method based on improved NIBLACK algorithm%基于NIBLACK改进算法的静脉识别特征提取

    Institute of Scientific and Technical Information of China (English)

    郑均辉; 喻恒

    2015-01-01

    静脉识别是一种新兴的生物特征识别技术,为了满足静脉识别中的特征提取需求,对手背静脉提取方法进行了研究。首先采用CLAHE算法对手背静脉图像进行增强处理,然后针对传统NIBALCK二值化算法的不足,提出一种局部静态阈值与NIBLACK相结合的改进算法。实验证明,该方法能有效消除传统方法中噪声过多、纹络断裂的现象,克服光强因素对图像提取的影响,保持完整清晰的静脉纹络结构,从而满足后续识别工作的需要。%Vein recognition is an emerging biometric feature recognition technology. In order to meet the demands for the feature extraction in hand vein recognition,a study on hand vein extraction methods is made in this paper. The hand vein image is enhanced with CLAHE algorithm first before the image processing. Because the traditional NIBLACK algorithm for image bina⁃rization processing has some flaws,an improved algorithm combining local static threshold method with NIBLACK algorithm is proposed in this paper. Experimental results show that the method can effectively eliminate the phenomena of noise nimiety and texture break,and overcome the impact of light intensity on the image extraction,which can keep the clear vein structure.

  8. Evaluation of light extraction efficiency for the light-emitting diodes based on the transfer matrix formalism and ray-tracing method

    Science.gov (United States)

    Pingbo, An; Li, Wang; Hongxi, Lu; Zhiguo, Yu; Lei, Liu; Xin, Xi; Lixia, Zhao; Junxi, Wang; Jinmin, Li

    2016-06-01

    The internal quantum efficiency (IQE) of the light-emitting diodes can be calculated by the ratio of the external quantum efficiency (EQE) and the light extraction efficiency (LEE). The EQE can be measured experimentally, but the LEE is difficult to calculate due to the complicated LED structures. In this work, a model was established to calculate the LEE by combining the transfer matrix formalism and an in-plane ray tracing method. With the calculated LEE, the IQE was determined and made a good agreement with that obtained by the ABC model and temperature-dependent photoluminescence method. The proposed method makes the determination of the IQE more practical and conventional. Project supported by the National Natural Science Foundation of China (Nos.11574306, 61334009), the China International Science and Technology Cooperation Program (No. 2014DFG62280), and the National High Technology Program of China (No. 2015AA03A101).

  9. Capillary electrophoresis coupled with inductively coupled mass spectrometry as an alternative to cloud point extraction based methods for rapid quantification of silver ions and surface coated silver nanoparticles.

    Science.gov (United States)

    Qu, Haiou; Mudalige, Thilak K; Linder, Sean W

    2016-01-15

    Speciation and accurate quantification of ionic silver and metallic silver nanoparticles are critical to investigate silver toxicity and to determine the shelf-life of products that contain nano silver under various storage conditions. We developed a rapid method for quantification of silver ions and silver nanoparticles using capillary electrophoresis (CE) interfaced with inductively-coupled plasma mass spectrometry (ICPMS). The addition of 2-mercaptopropionylglycine (tiopronin) to the background electrolyte was used to facilitate the chromatographic separation of ionic silver and maintain the oxidation state of silver. The obtained limits of detection were 0.05 μg kg(-1) of silver nanoparticles and 0.03 μg kg(-1) of ionic silver. Nanoparticles of varied sizes (10-110 nm) with different surface coating, including citrate acid, lipoic acid, polyvinylpyrrolidone and bovine serum albumin (BSA) were successfully analyzed. Particularly good recoveries (>93%) were obtained for both ionic silver and silver nanoparticle in the presence of excess amount of BSA. The method was further tested with six commercially available dietary supplements which varied in concentration and matrix components. The summed values of silver ions and silver nanoparticles correlated well with the total silver concentration determined by ICPMS after acid digestion. This method can serve as an alternative to cloud point extraction technique when the extraction efficiency for protein coated nanoparticles is low.

  10. DNA extraction on bio-chip: history and preeminence over conventional and solid-phase extraction methods.

    Science.gov (United States)

    Ayoib, Adilah; Hashim, Uda; Gopinath, Subash C B; Md Arshad, M K

    2017-09-23

    This review covers a developmental progression on early to modern taxonomy at cellular level following the advent of electron microscopy and the advancement in deoxyribonucleic acid (DNA) extraction for expatiation of biological classification at DNA level. Here, we discuss the fundamental values of conventional chemical methods of DNA extraction using liquid/liquid extraction (LLE) followed by development of solid-phase extraction (SPE) methods, as well as recent advances in microfluidics device-based system for DNA extraction on-chip. We also discuss the importance of DNA extraction as well as the advantages over conventional chemical methods, and how Lab-on-a-Chip (LOC) system plays a crucial role for the future achievements.

  11. Web entity extraction based on entity attribute classification

    Science.gov (United States)

    Li, Chuan-Xi; Chen, Peng; Wang, Ru-Jing; Su, Ya-Ru

    2011-12-01

    The large amount of entity data are continuously published on web pages. Extracting these entities automatically for further application is very significant. Rule-based entity extraction method yields promising result, however, it is labor-intensive and hard to be scalable. The paper proposes a web entity extraction method based on entity attribute classification, which can avoid manual annotation of samples. First, web pages are segmented into different blocks by algorithm Vision-based Page Segmentation (VIPS), and a binary classifier LibSVM is trained to retrieve the candidate blocks which contain the entity contents. Second, the candidate blocks are partitioned into candidate items, and the classifiers using LibSVM are performed for the attributes annotation of the items and then the annotation results are aggregated into an entity. Results show that the proposed method performs well to extract agricultural supply and demand entities from web pages.

  12. A comparative study: the impact of different lipid extraction methods on current microalgal lipid research.

    Science.gov (United States)

    Li, Yan; Ghasemi Naghdi, Forough; Garg, Sourabh; Adarme-Vega, Tania Catalina; Thurecht, Kristofer J; Ghafor, Wael Abdul; Tannock, Simon; Schenk, Peer M

    2014-01-24

    Microalgae cells have the potential to rapidly accumulate lipids, such as triacylglycerides that contain fatty acids important for high value fatty acids (e.g., EPA and DHA) and/or biodiesel production. However, lipid extraction methods for microalgae cells are not well established, and there is currently no standard extraction method for the determination of the fatty acid content of microalgae. This has caused a few problems in microlagal biofuel research due to the bias derived from different extraction methods. Therefore, this study used several extraction methods for fatty acid analysis on marine microalga Tetraselmis sp. M8, aiming to assess the potential impact of different extractions on current microalgal lipid research. These methods included classical Bligh & Dyer lipid extraction, two other chemical extractions using different solvents and sonication, direct saponification and supercritical CO₂ extraction. Soxhlet-based extraction was used to weigh out the importance of solvent polarity in the algal oil extraction. Coupled with GC/MS, a Thermogravimetric Analyser was used to improve the quantification of microalgal lipid extractions. Among these extractions, significant differences were observed in both, extract yield and fatty acid composition. The supercritical extraction technique stood out most for effective extraction of microalgal lipids, especially for long chain unsaturated fatty acids. The results highlight the necessity for comparative analyses of microalgae fatty acids and careful choice and validation of analytical methodology in microalgal lipid research.

  13. SAR Data Fusion Imaging Method Oriented to Target Feature Extraction

    Directory of Open Access Journals (Sweden)

    Yang Wei

    2015-02-01

    Full Text Available To deal with the difficulty for target outlines extracting precisely due to neglect of target scattering characteristic variation during the processing of high-resolution space-borne SAR data, a novel fusion imaging method is proposed oriented to target feature extraction. Firstly, several important aspects that affect target feature extraction and SAR image quality are analyzed, including curved orbit, stop-and-go approximation, atmospheric delay, and high-order residual phase error. Furthermore, the corresponding compensation methods are addressed as well. Based on the analysis, the mathematical model of SAR echo combined with target space-time spectrum is established for explaining the space-time-frequency change rule of target scattering characteristic. Moreover, a fusion imaging strategy and method under high-resolution and ultra-large observation angle range conditions are put forward to improve SAR quality by fusion processing in range-doppler and image domain. Finally, simulations based on typical military targets are used to verify the effectiveness of the fusion imaging method.

  14. THE METHODS OF EXTRACTING WATER INFORMATION FROM SPOT IMAGE

    Institute of Scientific and Technical Information of China (English)

    DUJin-kang; FENGXue-zhi; 等

    2002-01-01

    Some techniques and methods for deriving water information from SPOT-4(XI) image were investigated and discussed in this paper.An algorithmoif decision-tree(DT) classification which includes several classifiers based on the spectral responding characteristics of water bodies and other objects,was developed and put forward to delineate water bodies.Another algorithm of decision-tree classification based on both spectral characteristics and auxiliary information of DEM and slope(DTDS) was also designed for water bodies extraction.In addition,supervised classification method of maximum-likelyhood classification(MLC),and unsupervised method of interactive self -organizing dada analysis technique(ISODATA) were used to extract waterbodies for comparison purpose.An index was designed and used to assess the accuracy of different methods abopted in the research.Results have shown that water extraction accuracy was variable with respect to the various techniques applied.It was low using ISODATA,very high using DT algorithm and much higher using both DTDS and MLC.

  15. Determination of pharmaceutical residues in drinking water in Poland using a new SPE-GC-MS(SIM) method based on Speedisk extraction disks and DIMETRIS derivatization.

    Science.gov (United States)

    Caban, Magda; Lis, Ewa; Kumirska, Jolanta; Stepnowski, Piotr

    2015-12-15

    The presence of pharmaceuticals in drinking water, even at very low concentrations, has raised concerns among stakeholders such as drinking-water regulators, governments, water suppliers and the public, with regard to the potential risks to humans. Despite this, the occurrence and the fate of pharmaceuticals in drinking waters of many countries (e.g. in Poland) remains unknown. There is a lack of sufficiently sensitive and reliable analytical methods for such analyses and a need for more in-depth hydrogeological analysis of the possible sources of drug residues in drinking water. In this paper, a multi-residual method for the simultaneous determination of seventeen human pharmaceuticals in drinking waters has been developed. Large-volume extractions using Speedisk extraction disks, and derivatization prior to GC-MS-SIM analysis using a new silylating agent DIMETRIS were applied. The method detection limits (MDLs) ranged from 0.9 to 5.7ng/L and the absolute recoveries of the target compounds were above 80% for most analytes. The developed method was successfully applied in the analysis of the target compounds in drinking water collected in Gdansk (Poland), and of the 17 pharmaceuticals, 6 compounds were detected at least once. During the investigation, the geomorphology of the site region was taken into account, possible sources of pharmaceuticals in the analysed drinking water samples were investigated, and the presence of the drugs in ground and surface waters, raw and treated drinking waters was determined. Concentrations were also compared with those observed in other countries. As a result, this study has not only developed a new analytical method for determining pharmaceuticals in drinking waters as well as rendering missing information for Poland (a country with one of the highest consumptions of pharmaceuticals in Europe), but it also presents a modelled in-depth hydrogeological analysis of the real sources of drugs in drinking waters.

  16. An effective method for extraction and polymerase chain reaction ...

    African Journals Online (AJOL)

    root

    seven years, we optimized the method of extracting DNA from these samples. We used (a) ... difficulty in extracting DNA from formalin-preserved tissue samples ..... genomic DNA from whole blood, buccal epithelial cells, semen and forensic ...

  17. Moving Target Information Extraction Based on Single Satellite Image

    Directory of Open Access Journals (Sweden)

    ZHAO Shihu

    2015-03-01

    Full Text Available The spatial and time variant effects in high resolution satellite push broom imaging are analyzed. A spatial and time variant imaging model is established. A moving target information extraction method is proposed based on a single satellite remote sensing image. The experiment computes two airplanes' flying speed using ZY-3 multispectral image and proves the validity of spatial and time variant model and moving information extracting method.

  18. 脑机接口中基于WPD和CSP的特征提取%Novel feature extraction method for BCI based on WPD and CSP

    Institute of Scientific and Technical Information of China (English)

    杨帮华; 陆文宇; 何美燕; 刘丽

    2012-01-01

    针对脑机接口(brain computer interface,BCI)中2类运动想象任务的特征提取问题,提出了一种小波包分解(wavelet packet decomposition,WPD)与共同空间模式(common spatial pattern,CSP)相结合的脑电信号特征提取方法.该方法首先选择7个重要导联的脑电(electroencephalograph,EEG)信号,用‘haar’小波基进行三阶WPD分解;然后对每个导联分解后的其中5个子带进行重构,获取相关频域信息;最后对重构后信号利用CSP特征提取,获得六维特征向量.CSP与WPD相结合能够充分利用WPD的时频特性,有效避免CSP要求输入导联数过多、缺乏频域信息等缺陷.对2008年国际BCI竞赛数据和本实验室实验数据,采用该方法进行特征提取,通过概率神经网络(probabilistic neural network,PNN)分类.2种数据源分类正确率分别为92%和80%,相对于单纯的CSP特征提取,正确率分别提高5%和20%.实验结果表明:WPD与CSP相结合的特征提取算法能提取明显的特征,进而提高BCI的识别正确率.%Aiming at the feature extraction of two-class motor imagery tasks in brain computer interfaces (BCIs) , this paper presents an EEG feature extraction method, which combines wavelet packet decomposition ( WPD) and common spatial pattern ( CSP). Firstly, the method selects seven important channels of the EEG ( electroencephalo-graph) signal. The' haar' wavelet basis is used to perform third-order wavelet packet decomposition. And then five decomposed sub-bands for each EEG channel are reconstructed to obtain the relevant frequency domain information. Finally, the feature of the reconstructed signal is extracted using CSP to obtain the six-dimensional feature vector. The combination of CSP and WPD can take the advantage of WPD time-frequency characteristics and avoid the defects that CSP requires too many input channels and lacks frequency information. The 2008 BCI competition data and our laboratory experimental data are processed

  19. Method for 3D Airway Topology Extraction

    Directory of Open Access Journals (Sweden)

    Roman Grothausmann

    2015-01-01

    Full Text Available In lungs the number of conducting airway generations as well as bifurcation patterns varies across species and shows specific characteristics relating to illnesses or gene variations. A method to characterize the topology of the mouse airway tree using scanning laser optical tomography (SLOT tomograms is presented in this paper. It is used to test discrimination between two types of mice based on detected differences in their conducting airway pattern. Based on segmentations of the airways in these tomograms, the main spanning tree of the volume skeleton is computed. The resulting graph structure is used to distinguish between wild type and surfactant protein (SP-D deficient knock-out mice.

  20. Development of Directly Suspended Droplet Micro Extraction Method for Extraction of Organochlorine Pesticides in Water Samples

    Directory of Open Access Journals (Sweden)

    Seyed Kamal Rajabi

    2015-04-01

    Full Text Available A simple and efficient directly suspended droplet micro extraction in conjunction with gas chromatography-electron capture detector (GC-ECD has been developed for extraction and determination of organochlorine pesticides (OCPs from water samples. In this technique a micro drop of 1-dodecanol is delivered to the surface of an aqueous sample while being agitated by a stirring bar in the bulk of solution. Factors relevant to the extraction efficiency were studied and optimized. The optimized extraction conditions were extraction solvent: 1-dodecanol; extraction temperature: 60◦C; NaCl concentration: 0.5M; solvent extraction volume: 10 µL; stirring rate: 800rpm and the extraction time: 20 min. The detection limits of the method were in the range of 0.066–1.85 ngL−1, relation standard deviation (n=5 range were 0.102 - 0.964. A good linearity (r 2 ≥0.995 and a relatively broad dynamic linear range (25–2600ng.L−1 were obtained and recoveries of method were in the range of 90.729% - 102.343%. Finally, the proposedmethod was successfully utilized for pre concentration and determination of OCPs in different real samples.We successfully developed a method based on the DSDME technique combined with capillary GC-ECD for the analysis of OCPs in the water samples and compared with the conventional sample preparation method such as LPME. Normal 0 false false false EN-US X-NONE AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso

  1. Antioxidant and Antibacterial Assays on Polygonum minus Extracts: Different Extraction Methods

    OpenAIRE

    2015-01-01

    The effect of solvent type and extraction method was investigated to study the antioxidant and antibacterial activity of Polygonum minus. Two extraction methods were used: a solvent extraction using Soxhlet apparatus and supercritical fluid extraction (SFE). The antioxidant capacity was evaluated using the ferric reducing/antioxidant power (FRAP) assay and the free radical-scavenging capacity of 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. The highest polyphenol content was obtained from the m...

  2. comparison of protein extraction methods for the leaves of ficus ...

    African Journals Online (AJOL)

    F. I. Abdullah

    2017-05-01

    May 1, 2017 ... degradation. Based on the results of ... Eze and Dumboff [30] reported that the addition of chlorophyll extract to the standard protein .... protein extraction from recalcitrant plants such as banana (Musa spp.), apple (Malus ...

  3. A Target Damage Information Extraction Method Based on GLCM Feature Vector%一种基于 GLCM 特征向量的目标毁伤信息提取方法

    Institute of Scientific and Technical Information of China (English)

    王威; 蔡超

    2015-01-01

    A target damage information extraction method based on GLCM feature vector is proposed .Firstly ,the key positions of the target are extracted quickly by using the target knowledge template .After the early detection of the region with changes ,GLCM is used to extract texture features vector of the images taken before and after the attack .Then the re-gion with changes is extracted further by measuring the difference between the texture feature vectors which is based on ma-halanobis distance .Lastly ,the target damage information is extracted .Experimental results show that ,compared with the gray scale difference method and the single texture feature change detection method ,the proposed method can extract the tar-get damage information accurately and effectively .%提出了一种基于灰度共生矩阵(GLCM )特征向量的目标毁伤信息提取方法。该方法首先利用目标知识模板实现目标关键部位的快速提取,然后在进行变化区域预检测的基础上,采用 GLCM 提取目标被打击前后图像的纹理特征向量,使用马氏距离对纹理特征向量间的差异进行度量进一步获取变化区域,最后提取目标毁伤信息。实验结果表明,与灰度差值法和单一纹理特征变化检测方法相比,该方法能准确、有效地提取目标毁伤信息。

  4. Development of Poliovirus Extraction Method from Stool Extracts by Using Magnetic Nanoparticles Sensitized with Soluble Poliovirus Receptor

    OpenAIRE

    Arita, Minetaro

    2013-01-01

    A method for extracting poliovirus (PV) from stool extracts was developed. Magnetic nanoparticles sensitized with soluble PV receptor efficiently extracted PV pseudovirus (>99% extraction) or endogenous infectious PVs (>90% extraction) from stool extracts. This method would be useful for extraction of PV from crude biological samples.

  5. Web Template Extraction Based on Hyperlink Analysis

    Directory of Open Access Journals (Sweden)

    Julián Alarte

    2015-01-01

    Full Text Available Web templates are one of the main development resources for website engineers. Templates allow them to increase productivity by plugin content into already formatted and prepared pagelets. For the final user templates are also useful, because they provide uniformity and a common look and feel for all webpages. However, from the point of view of crawlers and indexers, templates are an important problem, because templates usually contain irrelevant information such as advertisements, menus, and banners. Processing and storing this information is likely to lead to a waste of resources (storage space, bandwidth, etc.. It has been measured that templates represent between 40% and 50% of data on the Web. Therefore, identifying templates is essential for indexing tasks. In this work we propose a novel method for automatic template extraction that is based on similarity analysis between the DOM trees of a collection of webpages that are detected using menus information. Our implementation and experiments demonstrate the usefulness of the technique.

  6. 基于决策树的戈壁信息提取研究%Gobi information extraction based on decision tree classification method

    Institute of Scientific and Technical Information of China (English)

    冯益明; 智长贵; 姚爱冬

    2013-01-01

    Gobi is one of the main landscape types of earth' s surface in the arid region of northwestern parts of China, with the total area of 458 000-757 000 km2, accounting for the 4.8%-7.9% of China's total land area. The gobi holds abundant natural resources such as minerals, wind energy and solar power. Meanwhile, many modern cities and towns and some important traffic routes were also constructed on the gobi region. The gobi region plays an important role in the construction of western economy. Therefore, it is important to launch the gobi research under current social and economic conditions, and accurately revealing the distribution and area of gobi is the base and premise of launching the gobi research. At present, it is difficult to do fieldwork due to the execrable natural conditions and the sparse dweller in the gobi region, which leads to the scarcity of research documents on the situation, distribution, type classification, transformation and utilization of gobi. The studied region of this paper is a typical gobi distribution region, locating in Ejina County in Inner Mongolia, China, and its climatic characteristics include lack of rain, more evaporation, full sunshine, large temperature difference and frequent windy sand weather. Using Remote Sensing imageries Landsat TM5 and TM7 of plant growth season of 2005-2010, the DEM with 30 m spatial resolution, administrative map, present land use map, field investigation data and related documents as the basic data resource. Firstly, the non-gobi distribution regions were extracted in GIS software by analyzing DEM. Then, based on the analysis of spectral characteristics of difference typical ground objects, the information extraction model of Decision Tree based on knowledge was constructed to classify the remote sensing imageries, and eroded gobi and cumulated gobi were relatively accurately separated. The general accuracy of the extracted gobi information reached 91.57%. There were few materials in China on using

  7. Carotenoid extraction methods: A review of recent developments.

    Science.gov (United States)

    Saini, Ramesh Kumar; Keum, Young-Soo

    2018-02-01

    The versatile use of carotenoids in feed, food, cosmetic and pharmaceutical industries has emphasized the optimization of extraction methods to obtain the highest recovery. The choice of method for carotenoid extraction from food matrices is crucial, owing to the presence of diverse carotenoids with varied levels of polarity, and the presence of various physical and chemical barriers in the food matrices. This review highlights the theoretical aspects and recent developments of various conventional and nonconventional methods used for the extraction of carotenoids, including ultrasound-assisted extraction (UAE), pressurized liquid extraction (PLE), and supercritical fluid extraction (SFE). Recent applications of non-toxic and environmentally safe solvents (green solvents) and ionic liquids (IL) for carotenoid extraction are also described. Additionally, future research challenges in the context of carotenoids extractions are also identified. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. Rapid methods to extract DNA and RNA from Cryptococcus neoformans.

    Science.gov (United States)

    Bolano, A; Stinchi, S; Preziosi, R; Bistoni, F; Allegrucci, M; Baldelli, F; Martini, A; Cardinali, G

    2001-12-01

    Extraction of nucleic acids from the pathogenic yeast Cryptococcus neoformans is normally hampered by a thick and resistant capsule, accounting for at least 70% of the whole cellular volume. This paper presents procedures based on mechanical cell breakage to extract DNA and RNA from C. neoformans and other capsulated species. The proposed system for DNA extraction involves capsule relaxation by means of a short urea treatment and bead beating. These two steps allow a consistent extraction even from strains resistant to other procedures. Yield and quality of DNA obtained with the proposed method were higher than those obtained with two earlier described methods. This protocol can be extended to every yeast species and particularly to those difficult to handle for the presence of a capsule. RNA purification is accomplished using an original lysing matrix and the FastPrep System (Bio101) after a preliminary bead beating treatment. Yields range around 1 mg RNA from 15 ml overnight culture (10(9) cells), RNA appears undegraded, making it suitable for molecular manipulations.

  9. A method suitable for DNA extraction from humus-rich soil.

    Science.gov (United States)

    Miao, Tianjin; Gao, Song; Jiang, Shengwei; Kan, Guoshi; Liu, Pengju; Wu, Xianming; An, Yingfeng; Yao, Shuo

    2014-11-01

    A rapid and convenient method for extracting DNA from soil is presented. Soil DNA is extracted by direct cell lysis in the presence of EDTA, SDS, phenol, chloroform and isoamyl alcohol (3-methyl-1-butanol) followed by precipitation with 2-propanol. The extracted DNA is purified by modified DNA purification kit and DNA gel extraction kit. With this method, DNA extracted from humus-rich dark brown forest soil was free from humic substances and, therefore, could be used for efficient PCR amplification and restriction digestion. In contrast, DNA sample extracted with the traditional CTAB-based method had lower yield and purity, and no DNA could be extracted from the same soil sample with a commonly-used commercial soil DNA isolation kit. In addition, this method is time-saving and convenient, providing an efficient choice especially for DNA extraction from humus-rich soils.

  10. Automatic segmentation of brain images: selection of region extraction methods

    Science.gov (United States)

    Gong, Leiguang; Kulikowski, Casimir A.; Mezrich, Reuben S.

    1991-07-01

    In automatically analyzing brain structures from a MR image, the choice of low level region extraction methods depends on the characteristics of both the target object and the surrounding anatomical structures in the image. The authors have experimented with local thresholding, global thresholding, and other techniques, using various types of MR images for extracting the major brian landmarks and different types of lesions. This paper describes specifically a local- binary thresholding method and a new global-multiple thresholding technique developed for MR image segmentation and analysis. The initial testing results on their segmentation performance are presented, followed by a comparative analysis of the two methods and their ability to extract different types of normal and abnormal brain structures -- the brain matter itself, tumors, regions of edema surrounding lesions, multiple sclerosis lesions, and the ventricles of the brain. The analysis and experimental results show that the global multiple thresholding techniques are more than adequate for extracting regions that correspond to the major brian structures, while local binary thresholding is helpful for more accurate delineation of small lesions such as those produced by MS, and for the precise refinement of lesion boundaries. The detection of other landmarks, such as the interhemispheric fissure, may require other techniques, such as line-fitting. These experiments have led to the formulation of a set of generic computer-based rules for selecting the appropriate segmentation packages for particular types of problems, based on which further development of an innovative knowledge- based, goal directed biomedical image analysis framework is being made. The system will carry out the selection automatically for a given specific analysis task.

  11. THE RELATIONSHIP BETWEEN TWO METHODS FOR EVALUATING FIVE-CARBON SUGARS IN EUCALYPTUS EXTRACTION LIQUOR

    Directory of Open Access Journals (Sweden)

    Congcong Chi

    2009-05-01

    Full Text Available Alkaline pre-extraction and hydrothermal hydrolysis were carried out with eucalyptus chips. Two methods were used to determine and calculate the extraction yield of five-carbon sugars. One is an indirect method, based on the difference of pentosan content between the chips before and after pre-extraction. The other method is to directly measure the content of five-carbon sugars in the extracting solution. The results indicated that there was a defined relationship between the two methods. For alkaline pre-extraction, a good logarithmic relationship was shown. There was a good linear relationship for hot water prehydrolysis. So the pentosan content of the extracted chips could be predicted from the results of the latter method, referring to the two relational expressions. In this study, a simple and rapid method of spectrophotometry was introduced, which will help in the evaluation of extraction yield of five-carbon sugars during biomass processing.

  12. DNA extraction of birch leaves by improved CTAB method and optimization of its ISSR system

    Institute of Scientific and Technical Information of China (English)

    PAN hua; YANG Chuan-ping; WEI Zhi-gang; JIANG Jing

    2006-01-01

    The basic method of DNA extraction (CTAB) was improved as the multi-times STE-CTAB extraction method and used to extract the DNA of birch leaved in this experiment. Results showed that the improved method is suitable not only for genomic DNA extraction of birch but also for that of other plants. The purity of genomic DNA extracted by the multi-times STE-CTAB extraction method is higher than that by one time STE-CTAB method, and it does not need the process of RNase. The factors of influencing ISSR system were explored based on the genomic DNA of birch extracted by the two methods. The optimal conditions for ISSR system were determined as follows: cycles of denaturation for 30 s at 94℃, annealing for 30 s at 51 ℃, extension for 30 s at 72℃, and a final 7 min extension at 72 ℃.

  13. Complementary methods for extracting road centerlines from IKONOS imagery

    Science.gov (United States)

    Haverkamp, Donna S.; Poulsen, Rick

    2003-03-01

    We present both semi-automated and automated methods for road extraction using IKONOS imagery. The automated method extracts straight-line, gridded road networks by inferring a local grid structure from initial information and then filling in missing pieces using hypothesization and verification. This can be followed by the semi-automated road tracker tool to approximate curvilinear roads and to fill in some of the remaining missing road structure. After a panchromatic texture analysis, our automated method incorporates an object-level processing phase which enables the algorithm to avoid problems arising from interference such as crosswalks and vehicles. It is limited, however, in that the logic is designed for reasoning concerning intersecting grid patterns of straight road segments. Many suburban areas are characterized by curving streets which may not be well-approximated using this automatic method. In these areas, missing content can be filled in using a semi-automated tool which tracks between user-supplied points. The semi-automated algorithm is based on measures derived from both the panchromatic and multispectral bands of IKONOS. We will discuss both of these algorithms in detail and how they fit into our overall solution strategy for road extraction. A presentation of current experimentation and test results will be followed by a discussion of advantages, shortcomings, and directions for future research and improvements.

  14. 基于DOM树与领域本体的Web抽取方法%Web Extraction Method Based on DOM Tree and Domain Ontology

    Institute of Scientific and Technical Information of China (English)

    郭建兵; 崔志明; 陈明; 赵朋朋

    2012-01-01

    为解决异构DeepWeb结果页面中数据区域及数据记录的自动抽取问题,提出一种基于DOM树与领域 本体的Web抽取方法.利用数据内容特征以及领域本体库标记DOM树的节点,按照结果页面展示规律定位数据区域,根据改进的简单树匹 配算法,定位数据区域及数据记录.实验结果表明,该方法定位数据区域及数据记录的F-measure值比传统的抽取方法高2.93%~6.67% .%To solve the problem of automatic extraction from different DeepWeb result page structures, this paper proposes a method which combines the Web structure and the content of Web pages. This method uses the characteristics of data content and the DOM tree nodes which are marked by the domain ontology library positioning data area. An improved simple tree matching algorithm is used to identify data records. Experimental results show that the F-measure value of this method is 2.93%~6.67% higher than that of traditional methods.

  15. Determination of an efficient and reliable method for DNA extraction from ticks.

    Science.gov (United States)

    Halos, Lénaïg; Jamal, Taoufik; Vial, Laurence; Maillard, Renaud; Suau, Antonia; Le Menach, Arnaud; Boulouis, Henri-Jean; Vayssier-Taussat, Muriel

    2004-01-01

    Molecular detection of pathogenic microorganisms in ticks is based on DNA amplification of the target pathogen; therefore, extraction of DNA from the tick is a major step. In this study, we compared three different tick DNA extraction protocols based on an enzymatic digestion by proteinase K followed by DNA extraction by a commercial kit (method 1), or on mortar crushing, proteinase K digestion and phenol/chloroform DNA extraction (method 2) and fine crushing with a beads beater, proteinase K digestion and DNA extraction using a commercial kit (method 3). The absence of PCR inhibitors and the DNA quality were evaluated by PCR amplification of the tick mitochondrial 16S rRNA gene using tick-specific primers. With method 1, 23/30 (77%) of the samples were extracted; with method 2, 30/31 (97%) of the samples were extracted and with method 3, 30/30 (100%) of the samples were extracted. DNA extraction efficiency using method 3 is significantly higher than DNA extraction efficiency using method 1 (100% versus 77%, P DNA extraction and applicable to the treatment of small samples such as nymphs and soft ticks with 100% efficiency.

  16. 一种基于投票法融合的ASTER遥感影像水体提取方法%A Method of Water Extraction Based on Voting Method Fusion for ASTER Remote Sensing Image

    Institute of Scientific and Technical Information of China (English)

    吴春花; 杜培军; 夏俊士

    2012-01-01

    Remote sensing imagery plays an important role in water resources surveying and floods monitoring. Extracting water from remote sensing images are often faced with some problems,such as the perturbation of shadow,the leakage of narrow water et al. According to the limitations of single approach,a thought of classifier integration was introduced and a novel water extraction algorithm is proposed based on voting. Firstly,Bagging,Random Forests and Neural Net classifiers were used to classify remote sensing images. Then,the majority voting was adapted to fuse the above three classification results. Finally, the final map of water was obtained from the decisive fusion result. The experimental results show that the proposed method can effectively remove the shadows and identify the small water well.%遥感影像在水资源调查和洪涝灾害监测中发挥着重要作用,但从遥感影像中提取水体通常面临着阴影和狭小水体漏提等难题.针对单一方法在水体提取中的局限性,引入分类器集成的思想,提出一种基于投票法融 合的水体提取方法,首先利用Bagging、Random Forests和神经网络(NN)分类器对遥感影像进行分类,然后采用多数投票法从决策层融合3个分类结果,得到研究区水体提取结果.试验结果表明,该方法能够有效去除阴影且能较好地识别狭小水体,具有良好的应用效果.

  17. Cryptographic Protocols Based on Root Extracting

    DEFF Research Database (Denmark)

    Koprowski, Maciej

    In this thesis we design new cryptographic protocols, whose security is based on the hardness of root extracting or more speci cally the RSA problem. First we study the problem of root extraction in nite Abelian groups, where the group order is unknown. This is a natural generalization of the...... complexity of root extraction, even if the algorithm can choose the "public exponent'' itself. In other words, both the standard and the strong RSA assumption are provably true w.r.t. generic algorithms. The results hold for arbitrary groups, so security w.r.t. generic attacks follows for any cryptographic...... construction based on root extracting. As an example of this, we modify Cramer-Shoup signature scheme such that it becomes a genericm algorithm. We discuss then implementing it in RSA groups without the original restriction that the modulus must be a product of safe primes. It can also be implemented in class...

  18. Efficient sparse kernel feature extraction based on partial least squares.

    Science.gov (United States)

    Dhanjal, Charanpal; Gunn, Steve R; Shawe-Taylor, John

    2009-08-01

    The presence of irrelevant features in training data is a significant obstacle for many machine learning tasks. One approach to this problem is to extract appropriate features and, often, one selects a feature extraction method based on the inference algorithm. Here, we formalize a general framework for feature extraction, based on Partial Least Squares, in which one can select a user-defined criterion to compute projection directions. The framework draws together a number of existing results and provides additional insights into several popular feature extraction methods. Two new sparse kernel feature extraction methods are derived under the framework, called Sparse Maximal Alignment (SMA) and Sparse Maximal Covariance (SMC), respectively. Key advantages of these approaches include simple implementation and a training time which scales linearly in the number of examples. Furthermore, one can project a new test example using only k kernel evaluations, where k is the output dimensionality. Computational results on several real-world data sets show that SMA and SMC extract features which are as predictive as those found using other popular feature extraction methods. Additionally, on large text retrieval and face detection data sets, they produce features which match the performance of the original ones in conjunction with a Support Vector Machine.

  19. Skeleton extraction based on the topology and Snakes model

    Science.gov (United States)

    Cai, Yuanxue; Ming, Chengguo; Qin, Yueting

    A new skeleton line extraction method based on topology and flux is proposed by analyzing the distribution characteristics of the gradient vector field in the Snakes model. The distribution characteristics of the skeleton line are accurately obtained by calculating the eigenvalues of the critical points and the flux of the gradient vector field. Then the skeleton lines can be effectively extracted. The results also show that there is no need for the pretreatment or binarization of the target image. The skeleton lines of complex gray images such as optical interference patterns can be effectively extracted by using this method. Compared to traditional methods, this method has many advantages, such as high extraction accuracy and fast processing speed.

  20. 基于子镜头聚类方法的关键帧提取技术%Method of Key Frame Extraction Based on Sub-Shot Clustering

    Institute of Scientific and Technical Information of China (English)

    罗森林; 马舒洁; 梁静; 潘丽敏; 冯杨

    2011-01-01

    By analyzing the known techniques of frame extraction, a new method of key frame extraction (KFE) is proposed based on sub-shot clustering in this paper. Using the features of color histogram between successive frames, the key frames could be extracted via sub-shot detection and clustering after the relocation of the shot boundary. Experimental results show that, the proposed method is adaptable, accurate, and effective. The improvement of key frame extraction lies in the fact that it not only reduces the complexity of extracting process, but also avoids redundancies of key frames effectively.%分析主流的关键帧提取技术,提出了一种基于子镜头聚类的关键帧提取算法.该方法在重新定位镜头的起始和终止帧号后,利用帧与帧之间的颜色直方图特征,通过子镜头检测和聚类进行关键帧提取.实验结果表明,该算法具有良好的适应性,既降低了关键帧提取算法的计算复杂度,正确率高,同时能有效避免关键帧的冗余,达到了很好的关键帧提取效果.

  1. Design of guanidinium ionic liquid based microwave-assisted extraction for the efficient extraction of Praeruptorin A from Radix peucedani.

    Science.gov (United States)

    Ding, Xueqin; Li, Li; Wang, Yuzhi; Chen, Jing; Huang, Yanhua; Xu, Kaijia

    2014-12-01

    A series of novel tetramethylguanidinium ionic liquids and hexaalkylguanidinium ionic liquids have been synthesized based on 1,1,3,3-tetramethylguanidine. The structures of the ionic liquids were confirmed by (1)H NMR spectroscopy and mass spectrometry. A green guanidinium ionic liquid based microwave-assisted extraction method has been developed with these guanidinium ionic liquids for the effective extraction of Praeruptorin A from Radix peucedani. After extraction, reversed-phase high-performance liquid chromatography with UV detection was employed for the analysis of Praeruptorin A. Several significant operating parameters were systematically optimized by single-factor and L9 (3(4)) orthogonal array experiments. The amount of Praeruptorin A extracted by [1,1,3,3-tetramethylguanidine]CH2CH(OH)COOH is the highest, reaching 11.05 ± 0.13 mg/g. Guanidinium ionic liquid based microwave-assisted extraction presents unique advantages in Praeruptorin A extraction compared with guanidinium ionic liquid based maceration extraction, guanidinium ionic liquid based heat reflux extraction and guanidinium ionic liquid based ultrasound-assisted extraction. The precision, stability, and repeatability of the process were investigated. The mechanisms of guanidinium ionic liquid based microwave-assisted extraction were researched by scanning electron microscopy and IR spectroscopy. All the results show that guanidinium ionic liquid based microwave-assisted extraction has a huge potential in the extraction of bioactive compounds from complex samples.

  2. Leukocyte telomere length variation due to DNA extraction method.

    Science.gov (United States)

    Denham, Joshua; Marques, Francine Z; Charchar, Fadi J

    2014-12-04

    Telomere length is indicative of biological age. Shorter telomeres have been associated with several disease and health states. There are inconsistencies throughout the literature amongst relative telomere length measured by quantitative PCR (qPCR) and different extraction methods or kits used. We quantified whole-blood leukocyte telomere length using the telomere to single copy gene (T/S) ratio by qPCR in 20 young (18-25 yrs) men after extracting DNA using three common extraction methods: Lahiri and Nurnberger (high salt) method, PureLink Genomic DNA Mini kit (Life Technologies) and QiaAmp DNA Mini kit (Qiagen). Telomere length differences of DNA extracted from the three extraction methods was assessed by one-way analysis of variance (ANOVA). DNA purity differed between extraction methods used (P=0.01). Telomere length was impacted by the DNA extraction method used (P=0.01). Telomeres extracted using the Lahiri and Nurnberger method (mean T/S ratio: 2.43, range: 1.57-3.02) and PureLink Genomic DNA Mini Kit (mean T/S ratio: 2.57, range: 2.24-2.80) did not differ (P=0.13). Likewise, QiaAmp and Purelink-extracted telomeres were not statistically different (P=0.14). The Lahiri-extracted telomeres, however, were significantly shorter than those extracted using the QiaAmp DNA Mini Kit (mean T/S ratio: 2.71, range: 2.32-3.02; P=0.003). DNA purity was associated with telomere length. There are discrepancies between the length of leukocyte telomeres extracted from the same individuals according to the DNA extraction method used. DNA purity could be responsible for the discrepancy in telomere length but this will require validation studies. We recommend using the same DNA extraction kit when quantifying leukocyte telomere length by qPCR or when comparing different cohorts to avoid erroneous associations between telomere length and traits of interest.

  3. 一种基于眼动轨迹的语义提取方法研究%Study on Method of Semantic Extraction Based on Eye Tracking

    Institute of Scientific and Technical Information of China (English)

    王刚

    2013-01-01

    利用眼动轨迹包含的参数来预测顾客是否喜欢某些商品,对于电子商务的推荐系统具有重要意义.通过采集顾客观察某物品的眼动参数,借鉴Find-s算法概念学习的思想,提出眼动轨迹语义提取算法,该算法首先学习先验知识,然后通过让样例正反例距离最大实现确定眼动参数包括注视时间、瞳孔大小、眨眼次数以及回视次数的权重,利用SEBET(Semantic extraction based eye tracking)算法,通过di=∑√m'=k1,i'=k2,i=λ∑m'=1,i'=1,i=0(xNm'(i)-x0i'(i))2w(i)/k1×k2计算样例正反例之间的距离,依照距离的远近来判断顾客是否喜欢某商品,从而实现从眼动轨迹进行语义提取.实验中,记录被试观察水果图片的眼动参数,分析出被试的喜好,与被试实际喜好进行了比较,发现样本与正例的距离为0.91,与反例的距离为3.01,与实际情况相符.%It is important for recommendation system of E-business to predicate consumer's habits by eyes gaze tracking. We explore algorithms to identify people's enjoyment by referencing Finds algorithm, it includes getting the weight of eyes parameters by getting the distance of object examples and negative examples, eyes parameters include the eye gazing time, the pupil size, the blink times and the looking back times. We use SEBET (Semantic Extraction Based Eye Tracking) algorithm to calculate the distance of object examples and negative examples, so we can decide whether consumers enjoy the goods or not from the distance, we extract the emotion semantic from eye tracking successfully. Experiments show the efficiency of our algorithm.

  4. A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.

    Science.gov (United States)

    Lourenço, Anália; Conover, Michael; Wong, Andrew; Nematzadeh, Azadeh; Pan, Fengxia; Shatkay, Hagit; Rocha, Luis M

    2011-10-03

    We participated, as Team 81, in the Article Classification and the Interaction Method subtasks (ACT and IMT, respectively) of the Protein-Protein Interaction task of the BioCreative III Challenge. For the ACT, we pursued an extensive testing of available Named Entity Recognition and dictionary tools, and used the most promising ones to extend our Variable Trigonometric Threshold linear classifier. Our main goal was to exploit the power of available named entity recognition and dictionary tools to aid in the classification of documents relevant to Protein-Protein Interaction (PPI). For the IMT, we focused on obtaining evidence in support of the interaction methods used, rather than on tagging the document with the method identifiers. We experimented with a primarily statistical approach, as opposed to employing a deeper natural language processing strategy. In a nutshell, we exploited classifiers, simple pattern matching for potential PPI methods within sentences, and ranking of candidate matches using statistical considerations. Finally, we also studied the benefits of integrating the method extraction approach that we have used for the IMT into the ACT pipeline. For the ACT, our linear article classifier leads to a ranking and classification performance significantly higher than all the reported submissions to the challenge in terms of Area Under the Interpolated Precision and Recall Curve, Mathew's Correlation Coefficient, and F-Score. We observe that the most useful Named Entity Recognition and Dictionary tools for classification of articles relevant to protein-protein interaction are: ABNER, NLPROT, OSCAR 3 and the PSI-MI ontology. For the IMT, our results are comparable to those of other systems, which took very different approaches. While the performance is not very high, we focus on providing evidence for potential interaction detection methods. A significant majority of the evidence sentences, as evaluated by independent annotators, are relevant to PPI

  5. Improvement of extraction method of coagulation active components from Moringa oleifera seed

    OpenAIRE

    OKUDA, Tetsuji; Baes, Aloysius U.; NISHIJIMA, Wataru; Okada, Mitsumasa

    1999-01-01

    A new method for the extraction of the active coagulation component from Moringa oleifera seeds was developed and compared with the ordinary water extraction method (MOC–DW). In the new method, 1.0 mol l-1 solution of sodium chloride (MOC–SC) and other salts were used for extraction of the active coagulation component. Batch coagulation experiments were conducted using 500 ml of low turbid water (50 NTU). Coagulation efficiencies were evaluated based on the dosage required to remove kaolinite...

  6. Preparing silica aerogel monoliths via a rapid supercritical extraction method.

    Science.gov (United States)

    Carroll, Mary K; Anderson, Ann M; Gorka, Caroline A

    2014-02-28

    A procedure for the fabrication of monolithic silica aerogels in eight hours or less via a rapid supercritical extraction process is described. The procedure requires 15-20 min of preparation time, during which a liquid precursor mixture is prepared and poured into wells of a metal mold that is placed between the platens of a hydraulic hot press, followed by several hours of processing within the hot press. The precursor solution consists of a 1.0:12.0:3.6:3.5 x 10(-3) molar ratio of tetramethylorthosilicate (TMOS):methanol:water:ammonia. In each well of the mold, a porous silica sol-gel matrix forms. As the temperature of the mold and its contents is increased, the pressure within the mold rises. After the temperature/pressure conditions surpass the supercritical point for the solvent within the pores of the matrix (in this case, a methanol/water mixture), the supercritical fluid is released, and monolithic aerogel remains within the wells of the mold. With the mold used in this procedure, cylindrical monoliths of 2.2 cm diameter and 1.9 cm height are produced. Aerogels formed by this rapid method have comparable properties (low bulk and skeletal density, high surface area, mesoporous morphology) to those prepared by other methods that involve either additional reaction steps or solvent extractions (lengthier processes that generate more chemical waste).The rapid supercritical extraction method can also be applied to the fabrication of aerogels based on other precursor recipes.

  7. A PCR amplification method without DNA extraction.

    Science.gov (United States)

    Li, Hongwei; Xu, Haiyue; Zhao, Chunjiang; Sulaiman, Yiming; Wu, Changxin

    2011-02-01

    To develop a simple and inexpensive method for direct PCR amplification of animal DNA from tissues, we optimized different components and their concentration in lysis buffer systems. Finally, we acquired the optimized buffer system composed of 10 mmol tris(hydroxymethyl)aminomethane (Tris)-Cl (pH 8.0), 2 mmol ethylene diamine tetraacetic (EDTA) (pH 8.0), 0.2 mol NaCl and 200 μg/mL Proteinase K. Interestingly, the optimized buffer is also very effective when working with common human sample types, including blood, buccal cells and hair. The direct PCR method requires fewer reagents (Tris-Cl, EDTA, Protease K and NaCl) and less incubation time (only 35 min). The cost of treating every sample is less than $0.02, and all steps can be completed on a thermal cycler in a 96-well format. So, the proposed method will significantly improve high-throughput PCR-based molecular assays in animal systems and in common human sample types.

  8. Melody Extraction Method from MIDI Based on H-K Algorithm%基于H-K算法的MIDI音乐主旋律提取

    Institute of Scientific and Technical Information of China (English)

    刘勇; 林景栋; 穆伟力

    2011-01-01

    音乐的主旋律音轨包含了很多重要的音乐旋律信息,是音乐特征识别的基础,也是音乐灯光表演方案设计的前提工作.这方面的工作涉及了音乐旋律的表达、旋律特征的抽取以及分类技术等许多内容.针对多音轨MIDI文件,介绍一种多音轨MIDI音乐主旋律识别方法.通过对表征音乐旋律的特征量的提取,采用H-K分类算法,构建音轨分类器模型,对MIDI主旋律音轨和伴奏旋律音轨进行分类,从而提取MIDI音乐主旋律音轨.实验结果显示取得了较好的效果,为音乐灯光表演方案的自动设计做了必要的前提工作.%Main melody is the basis of the music feature recognition and the premise of music light show design work by compute, as it contains the most important information about music melody.This work includes many questions, such as melody representation, melody character exwaction and classifying technology.This paper represents a model for auto melody extraction method for multi-track MIDI files.Construct the feature vector space by means of extracting the music melody feature.To classify the melody of the main track and the accompaniment tracks with the H-K algorithm in order t6 exwact the main melody track, and achieved good results.It prepares for the program of automatic design the music light show.

  9. A Method for Extracting Important Segments from Documents Using Support Vector Machines

    Science.gov (United States)

    Suzuki, Daisuke; Utsumi, Akira

    In this paper we propose an extraction-based method for automatic summarization. The proposed method consists of two processes: important segment extraction and sentence compaction. The process of important segment extraction classifies each segment in a document as important or not by Support Vector Machines (SVMs). The process of sentence compaction then determines grammatically appropriate portions of a sentence for a summary according to its dependency structure and the classification result by SVMs. To test the performance of our method, we conducted an evaluation experiment using the Text Summarization Challenge (TSC-1) corpus of human-prepared summaries. The result was that our method achieved better performance than a segment-extraction-only method and the Lead method, especially for sentences only a part of which was included in human summaries. Further analysis of the experimental results suggests that a hybrid method that integrates sentence extraction with segment extraction may generate better summaries.

  10. An efficient and cost-effective method for DNA extraction from athalassohaline soil using a newly formulated cell extraction buffer.

    Science.gov (United States)

    Narayan, Avinash; Jain, Kunal; Shah, Amita R; Madamwar, Datta

    2016-06-01

    The present study describes the rapid and efficient indirect lysis method for environmental DNA extraction from athalassohaline soil by newly formulated cell extraction buffer. The available methods are mostly based on direct lysis which leads to DNA shearing and co-extraction of extra cellular DNA that influences the community and functional analysis. Moreover, during extraction of DNA by direct lysis from athalassohaline soil, it was observed that, upon addition of poly ethylene glycol (PEG), isopropanol or absolute ethanol for precipitation of DNA, salt precipitates out and affecting DNA yield significantly. Therefore, indirect lysis method was optimized for extraction of environmental DNA from such soil containing high salts and low microbial biomass (CFU 4.3 × 10(4) per gram soil) using newly formulated cell extraction buffer in combination with low and high speed centrifugation. The cell extraction buffer composition and its concentration were optimized and PEG 8000 (1 %; w/v) and 1 M NaCl gave maximum cell mass for DNA extraction. The cell extraction efficiency was assessed with acridine orange staining of soil samples before and after cell extraction. The efficiency, reproducibility and purity of extracted DNA by newly developed procedure were compared with previously recognized methods and kits having different protocols including indirect lysis. The extracted environmental DNA showed better yield (5.6 ± 0.7 μg g(-1)) along with high purity ratios. The purity of DNA was validated by assessing its usability in various molecular techniques like restriction enzyme digestion, amplification of 16S rRNA gene using PCR and UV-Visible spectroscopy analysis.

  11. Critical assessment of extracellular polymeric substances extraction methods from mixed culture biomass

    DEFF Research Database (Denmark)

    Pellicer i Nàcher, Carles; Domingo Felez, Carlos; Mutlu, Ayten Gizem

    2013-01-01

    . This study presents a rigorous and critical assessment of existing physical and chemical EPS extraction methods applied to mixed-culture biomass samples (nitrifying, nitritation-anammox, and activated sludge biomass). A novel fluorescence-based method was developed and calibrated to quantify the lysis...... potential of different EPS extraction protocols. We concluded that commonly used methods to assess cell lysis (DNA concentrations or G6PDH activities in EPS extracts) do not correlate with cell viability. Furthermore, we discovered that the presence of certain chemicals in EPS extracts results in severe...... underestimation of protein and carbohydrate concentrations by using standard analytical methods. Keeping both maximum EPS extraction yields and minimal biomass lysis as criteria, it was identified a sonication-based extraction method as the best to determine and compare tightly-bound EPS fractions in different...

  12. Object Extraction Based on Evolutionary Morphological Processing

    Institute of Scientific and Technical Information of China (English)

    LI Bin; PAN Li

    2004-01-01

    This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filters is iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.

  13. Perceptual Object Extraction Based on Saliency and Clustering

    Directory of Open Access Journals (Sweden)

    Qiaorong Zhang

    2010-08-01

    Full Text Available Object-based visual attention has received an increasing interest in recent years. Perceptual object is the basic attention unit of object-based visual attention. The definition and extraction of perceptual objects is one of the key technologies in object-based visual attention computation model. A novel perceptual object definition and extraction method is proposed in this paper. Based on Gestalt theory and visual feature integration theory, perceptual object is defined using homogeneity region, salient region and edges. An improved saliency map generating algorithm is employed first. Based on the saliency map, salient edges are extracted. Then graph-based clustering algorithm is introduced to get homogeneity regions in the image. Finally an integration strategy is adopted to combine salient edges and homogeneity regions to extract perceptual objects. The proposed perceptual object extraction method has been tested on lots of natural images. Experiment results and analysis are presented in this paper also. Experiment results show that the proposed method is reasonable and valid.

  14. Evaluation of extraction and non-extraction treatment effects by two different superimposition methods.

    Science.gov (United States)

    Türköz, Çağrı; İşcan, Hakan Necip

    2011-12-01

    The aim of this study was to determine whether different evaluation methods may be the cause of the varied outcomes of research that have evaluated the effects of extraction and non-extraction therapy on jaw rotation. This retrospective study consisted of the pre- (T1) and post- (T2) treatment lateral cephalograms of 70 skeletal Class I subjects with an optimal vertical mandibular plane angle, who had undergone fixed orthodontic treatment. Thirty-five of the subjects (20 females and 15 males, mean age: 14.7 years) were treated with four first premolar extractions and 35 (22 females and 13 males, mean age: 15 years) without extractions. T1 and T2 radiographs were superimposed using Björk's structural method and Steiner's method of sella-nasion line registered at sella. A Wilcoxon test was used to evaluate the changes between T1 and T2 and the Mann-Whitney U-test to determine differences between the extraction and non-extraction and Björk and Steiner groups. No significant difference was found between the methods of Steiner and Björk according to the spatial changes of the cephalometric points in the extraction and non-extraction groups. The maxilla showed forward rotation in the extraction group and backward rotation in the non-extraction group with both superimposition methods, but the differences were not significant in either inter- or intraclass comparisons. The mandible showed forward rotation in the extraction group with both superimposition methods but, in the non-extraction group, forward rotation was recorded with Björk's method and backward rotation with Steiner's method. These findings were not significant in either inter- or intraclass evaluations. No significant difference was found between the groups or methods.

  15. New learning subspace method for image feature extraction

    Institute of Scientific and Technical Information of China (English)

    CAO Jian-hai; LI Long; LU Chang-hou

    2006-01-01

    A new method of Windows Minimum/Maximum Module Learning Subspace Algorithm(WMMLSA) for image feature extraction is presented. The WMMLSM is insensitive to the order of the training samples and can regulate effectively the radical vectors of an image feature subspace through selecting the study samples for subspace iterative learning algorithm,so it can improve the robustness and generalization capacity of a pattern subspace and enhance the recognition rate of a classifier. At the same time,a pattern subspace is built by the PCA method. The classifier based on WMMLSM is successfully applied to recognize the pressed characters on the gray-scale images. The results indicate that the correct recognition rate on WMMLSM is higher than that on Average Learning Subspace Method,and that the training speed and the classification speed are both improved. The new method is more applicable and efficient.

  16. Methods for microbial DNA extraction from soil for PCR amplification

    Directory of Open Access Journals (Sweden)

    Yeates C

    1998-01-01

    Full Text Available Amplification of DNA from soil is often inhibited by co-purified contaminants. A rapid, inexpensive, large-scale DNA extraction method involving minimal purification has been developed that is applicable to various soil types (1. DNA is also suitable for PCR amplification using various DNA targets. DNA was extracted from 100g of soil using direct lysis with glass beads and SDS followed by potassium acetate precipitation, polyethylene glycol precipitation, phenol extraction and isopropanol precipitation. This method was compared to other DNA extraction methods with regard to DNA purity and size.

  17. Spectrophotometric validation of assay method for selected medicinal plant extracts

    OpenAIRE

    Matthew Arhewoh; Augustine O. Okhamafe

    2014-01-01

    Objective: To develop UV spectrophotometric assay validation methods for some selected medicinal plant extracts.Methods: Dried, powdered leaves of Annona muricata (AM) and Andrographis paniculata (AP) as well as seeds of Garcinia kola (GK) and Hunteria umbellata (HU) were separately subjected to maceration using distilled water. Different concentrations of the extracts were scanned spectrophotometrically to obtain wavelengths of maximum absorbance. The different extracts were then subjected t...

  18. Entropy Analysis as an Electroencephalogram Feature Extraction Method

    Directory of Open Access Journals (Sweden)

    P. I. Sotnikov

    2014-01-01

    Full Text Available The aim of this study was to evaluate a possibility for using an entropy analysis as an electroencephalogram (EEG feature extraction method in brain-computer interfaces (BCI. The first section of the article describes the proposed algorithm based on the characteristic features calculation using the Shannon entropy analysis. The second section discusses issues of the classifier development for the EEG records. We use a support vector machine (SVM as a classifier. The third section describes the test data. Further, we estimate an efficiency of the considered feature extraction method to compare it with a number of other methods. These methods include: evaluation of signal variance; estimation of spectral power density (PSD; estimation of autoregression model parameters; signal analysis using the continuous wavelet transform; construction of common spatial pattern (CSP filter. As a measure of efficiency we use the probability value of correctly recognized types of imagery movements. At the last stage we evaluate the impact of EEG signal preprocessing methods on the final classification accuracy. Finally, it concludes that the entropy analysis has good prospects in BCI applications.

  19. Rapid and Green Analytical Method for the Determination of Quinoline Alkaloids from Cinchona succirubra Based on Microwave-Integrated Extraction and Leaching (MIEL Prior to High Performance Liquid Chromatography

    Directory of Open Access Journals (Sweden)

    Farid Chemat

    2011-11-01

    Full Text Available Quinas contains several compounds, such as quinoline alkaloids, principally quinine, quinidine, cinchonine and cichonidine. Identified from barks of Cinchona, quinine is still commonly used to treat human malaria. Microwave-Integrated Extraction and Leaching (MIEL is proposed for the extraction of quinoline alkaloids from bark of Cinchona succirubra. The process is performed in four steps, which ensures complete, rapid and accurate extraction of the samples. Optimal conditions for extraction were obtained using a response surface methodology reached from a central composite design. The MIEL extraction has been compared with a conventional technique soxhlet extraction. The extracts of quinoline alkaloids from C. succirubra obtained by these two different methods were compared by HPLC. The extracts obtained by MIEL in 32 min were quantitatively (yield and qualitatively (quinine, quinidine, cinchonine, cinchonidine similar to those obtained by conventional Soxhlet extraction in 3 hours. MIEL is a green technology that serves as a good alternative for the extraction of Cinchona alkaloids.

  20. Rapid and green analytical method for the determination of quinoline alkaloids from Cinchona succirubra based on Microwave-Integrated Extraction and Leaching (MIEL) prior to high performance liquid chromatography.

    Science.gov (United States)

    Fabiano-Tixier, Anne-Sylvie; Elomri, Abdelhakim; Blanckaert, Axelle; Seguin, Elisabeth; Petitcolas, Emmanuel; Chemat, Farid

    2011-01-01

    Quinas contains several compounds, such as quinoline alkaloids, principally quinine, quinidine, cinchonine and cichonidine. Identified from barks of Cinchona, quinine is still commonly used to treat human malaria. Microwave-Integrated Extraction and Leaching (MIEL) is proposed for the extraction of quinoline alkaloids from bark of Cinchona succirubra. The process is performed in four steps, which ensures complete, rapid and accurate extraction of the samples. Optimal conditions for extraction were obtained using a response surface methodology reached from a central composite design. The MIEL extraction has been compared with a conventional technique soxhlet extraction. The extracts of quinoline alkaloids from C. succirubra obtained by these two different methods were compared by HPLC. The extracts obtained by MIEL in 32 min were quantitatively (yield) and qualitatively (quinine, quinidine, cinchonine, cinchonidine) similar to those obtained by conventional Soxhlet extraction in 3 hours. MIEL is a green technology that serves as a good alternative for the extraction of Cinchona alkaloids.

  1. Cryptographic Protocols Based on Root Extracting

    DEFF Research Database (Denmark)

    Koprowski, Maciej

    In this thesis we design new cryptographic protocols, whose security is based on the hardness of root extracting or more speci cally the RSA problem. First we study the problem of root extraction in nite Abelian groups, where the group order is unknown. This is a natural generalization of the...... construction based on root extracting. As an example of this, we modify Cramer-Shoup signature scheme such that it becomes a genericm algorithm. We discuss then implementing it in RSA groups without the original restriction that the modulus must be a product of safe primes. It can also be implemented in class......,  providing a currently acceptable level of security. This allows us to propose the rst practical blind signature scheme provably secure, without relying on heuristics called random oracle model (ROM). We obtain the protocol for issuing blind signatures by implementing our modi ed Fischlin's signing algorithm...

  2. Method of Value Information Extraction Based on Big Data Subset Features Forgotten and Inspired%大数据子集特征遗忘启发价值信息提取方法

    Institute of Scientific and Technical Information of China (English)

    向春枝

    2014-01-01

    传统的大数据中价值信息提取方法采用基于模糊学习理论的数据融合处理方法,将预定学习序列输入神经网络,通过模糊启发,对预定序列进行多模型映射,此方法模型复杂,且启发率低。提出一种大数据子集特征遗忘启发的价值信息提取方法,对大数据进行非线性映射归一化,使每个子集实现并行运算,通过混沌方法提取子集特征,并建立混沌模型下的子集特征遗忘启发链,针对不同子集中的价值信息,依据遗忘启发链实现启发,提取价值信息。采用一组大数据下的伪随机价值信息进行提取测试,仿真实验表明,本文价值信息提取方法的提取率达到了98%,对于大数据下的价值信息提取具有很好的指导意义。%The fuzzy approach learning theory data fusion method is used in the traditional big data value information extrac-tion, the method is based on a predetermined sequence of inputs to the neural network learning, the predetermined se-quence for multi-model mapping is inspired by fuzzy method, this model is complex and the inspiring rate is low. A value information extraction method of big data is proposed based on subset features forgotten and inspired, each subset is done with parallel computing, a subset of feature extraction method is used with chaos, sub-forgotten inspired collection features the chain is established under chaos model, for different subset of the value of information, with forgetting inspired chain, the value of information is extracted. A large data with pseudo-random distribution is used for test, the simulation experi-ments show that the with the proposed method, the value of information extraction rate reaches 98%, it has good guidance for the value of information extracting under big data.

  3. Key frame extraction based on spatiotemporal motion trajectory

    Science.gov (United States)

    Zhang, Yunzuo; Tao, Ran; Zhang, Feng

    2015-05-01

    Spatiotemporal motion trajectory can accurately reflect the changes of motion state. Motivated by this observation, this letter proposes a method for key frame extraction based on motion trajectory on the spatiotemporal slice. Different from the well-known motion related methods, the proposed method utilizes the inflexions of the motion trajectory on the spatiotemporal slice of all the moving objects. Experimental results show that although a similar performance is achieved in the single-objective screen, by comparing the proposed method to that achieved with the state-of-the-art methods based on motion energy or acceleration, the proposed method shows a better performance in a multiobjective video.

  4. COMPARISON OF RNA EXTRACTION METHODS FOR Passiflora edulis SIMS LEAVES

    Directory of Open Access Journals (Sweden)

    ANNY CAROLYNE DA LUZ

    2016-02-01

    Full Text Available ABSTRACT Functional genomic analyses require intact RNA; however, Passiflora edulis leaves are rich in secondary metabolites that interfere with RNA extraction primarily by promoting oxidative processes and by precipitating with nucleic acids. This study aimed to analyse three RNA extraction methods, Concert™ Plant RNA Reagent (Invitrogen, Carlsbad, CA, USA, TRIzol® Reagent (Invitrogen and TRIzol® Reagent (Invitrogen/ice -commercial products specifically designed to extract RNA, and to determine which method is the most effective for extracting RNA from the leaves of passion fruit plants. In contrast to the RNA extracted using the other 2 methods, the RNA extracted using TRIzol® Reagent (Invitrogen did not have acceptable A260/A280 and A260/A230 ratios and did not have ideal concentrations. Agarose gel electrophoresis showed a strong DNA band for all of the Concert™ method extractions but not for the TRIzol® and TRIzol®/ice methods. The TRIzol® method resulted in smears during electrophoresis. Due to its low levels of DNA contamination, ideal A260/A280 and A260/A230 ratios and superior sample integrity, RNA from the TRIzol®/ice method was used for reverse transcription-polymerase chain reaction (RT-PCR, and the resulting amplicons were highly similar. We conclude that TRIzol®/ice is the preferred method for RNA extraction for P. edulis leaves.

  5. Extraction of Roots of Quintics by Division Method

    Science.gov (United States)

    Kulkarni, Raghavendra G.

    2009-01-01

    We describe a method to extract roots of a reducible quintic over the real field, which makes use of a simple division. A procedure to synthesize such quintics is given and a numerical example is solved to extract the roots of quintic with the proposed method.

  6. 7 CFR 51.1179 - Method of juice extraction.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Method of juice extraction. 51.1179 Section 51.1179 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards... of Common Sweet Oranges (citrus Sinensis (l) Osbeck) § 51.1179 Method of juice extraction. The...

  7. An effective and in-situ method based tresyl-functionalized porous polymer material for enrichment and digestion of membrane proteins and its application in extraction tips.

    Science.gov (United States)

    Wang, Jiaxi; Gao, Mingxia; Yan, Guoquan; Zhang, Xiangmin

    2015-06-23

    Membrane proteins are one of promising targets for drug discovery because of the unique properties in physiological processes. Due to their low abundance and extremely hydrophobic nature, the analysis of membrane proteins is still a great challenge. In this work, an effective and in-situ method were developed to enrich and digest membrane proteins by adopting tresyl-functionalized porous polymer material. With tresyl groups, the material can effectively immobilize membrane proteins via covalent bonding on the surface. The material became a facile carrier to enrich membrane proteins from the rat liver in detergents and organic solvents owing to its outstanding binding capacity and excellent biocompatibility. Moreover, it was further applied in extraction tips to capture and in-situ digest the pretreatment membrane proteins in two different solutions. A total of 600 membrane proteins (51% of total protein groups) and 359 transmembrane proteins were identified by nano-LC-ESI-MS/MS in 4% sodium dodecyl sulfate (SDS), and similar results were achieved in the 60% methanol solution. All these results demonstrated that the new approach is of great promise for large-scale characterization of membrane proteins.

  8. Method of Cultivated Land Area Extraction Based on TM Data%基于TM数据耕地面积提取方法研究

    Institute of Scientific and Technical Information of China (English)

    王国芳

    2011-01-01

    粮食作物的播种面积、产量等信息是国家制定粮食政策和经济计划的重要依据.以昔阳县为研究区域,主要应用TM数据,结合研究区土地利用现状图,基于光谱信息,提取了耕地和非耕地信息,最后利用最大似然法监督分类得出耕地面积为29 242.1 hm2,分类结果精度达到93.3%.%Information of cultivation land area and cereal crops output is an important basis for the national food policy and the development of economic planning.In this paper, taking Xiyang as study case, TM data was used, land use map of the study area combined, and spectral information based, cultivated and non-cultivated land information was extracted.Finally, by maximum likelihood supervised classification, cultivation land area is 29 242.1 hm2 and its classification accuracy is as high as 93.3%.

  9. Selective electromembrane extraction based on isoelectric point

    DEFF Research Database (Denmark)

    Huang, Chuixiu; Gjelstad, Astrid; Pedersen-Bjergaard, Stig

    2015-01-01

    For the first time, selective isolation of a target peptide based on the isoelectric point (pI) was achieved using a two-step electromembrane extraction (EME) approach with a thin flat membrane-based EME device. In this approach, step #1 was an extraction process, where both the target peptide...... angiotensin II antipeptide (AT2 AP, pI=5.13) and the matrix peptides (pI>5.13) angiotensin II (AT2), neurotensin (NT), angiotensin I (AT1) and leu-enkephalin (L-Enke) were all extracted as net positive species from the sample (pH 3.50), through a supported liquid membrane (SLM) of 1-nonanol diluted with 2......, and the target remained in the acceptor solution. The acceptor solution pH, the SLM composition, the extraction voltage, and the extraction time during the clean-up process (step #2) were important factors influencing the separation performance. An acceptor solution pH of 5.25 for the clean-up process slightly...

  10. An efficient extraction method for quantitation of adenosine triphosphate in mammalian tissues and cells.

    Science.gov (United States)

    Chida, Junji; Yamane, Kazuhiko; Takei, Tunetomo; Kido, Hiroshi

    2012-05-21

    Firefly bioluminescence is widely used in the measurement of adenosine 5'-triphosphate (ATP) levels in biological materials. For such assays in tissues and cells, ATP must be extracted away from protein in the initial step and extraction efficacy is the main determinant of the assay accuracy. Extraction reagents recommended in the commercially available ATP assay kits are chaotropic reagents, trichloroacetic acid (TCA), perchloric acid (PCA), and ethylene glycol (EG), which extract nucleotides through protein precipitation and/or nucleotidase inactivation. We found that these reagents are particularly useful for measuring ATP levels in materials with relatively low protein concentrations such as blood cells, cultured cells, and bacteria. However, these methods are not suitable for ATP extraction from tissues with high protein concentrations, because some ATP may be co-precipitated with the insolubilized protein during homogenization and extraction, and it could also be precipitated by neutralization in the acid extracts. Here we found that a phenol-based extraction method markedly increased the ATP and other nucleotides extracted from tissues. In addition, phenol extraction does not require neutralization before the luciferin-luciferase assay step. ATP levels analyzed by luciferase assay in various tissues extracted by Tris-EDTA-saturated phenol (phenol-TE) were over 17.8-fold higher than those extracted by TCA and over 550-fold higher than those in EG extracts. Here we report a simple, rapid, and reliable phenol-TE extraction procedure for ATP measurement in tissues and cells by luciferase assay.

  11. An unsupervised text mining method for relation extraction from biomedical literature.

    Science.gov (United States)

    Quan, Changqin; Wang, Meng; Ren, Fuji

    2014-01-01

    The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1) Protein-protein interactions extraction, and (2) Gene-suicide association extraction. The evaluation of task (1) on the benchmark dataset (AImed corpus) showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene-suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.

  12. An unsupervised text mining method for relation extraction from biomedical literature.

    Directory of Open Access Journals (Sweden)

    Changqin Quan

    Full Text Available The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation extraction. Pattern clustering algorithm is based on Polynomial Kernel method, which identifies interaction words from unlabeled data; these interaction words are then used in relation extraction between entity pairs. Dependency parsing and phrase structure parsing are combined for relation extraction. Based on the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi-supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing rules. We evaluated the approaches on two different tasks: (1 Protein-protein interactions extraction, and (2 Gene-suicide association extraction. The evaluation of task (1 on the benchmark dataset (AImed corpus showed that our proposed unsupervised approach outperformed three supervised methods. The three supervised methods are rule based, SVM based, and Kernel based separately. The proposed semi-supervised approach is superior to the existing semi-supervised methods. The evaluation on gene-suicide association extraction on a smaller dataset from Genetic Association Database and a larger dataset from publicly available PubMed showed that the proposed unsupervised and semi-supervised methods achieved much higher F-scores than co-occurrence based method.

  13. Amniotic Membrane Extract Preparation: What is the Best Method?

    Directory of Open Access Journals (Sweden)

    Mirgholamreza Mahbod

    2014-01-01

    Full Text Available Purpose: To compare different preparation methods for a suitable amniotic membrane (AM extract containing a given amount of growth factors. Methods: In this interventional case series, we dissected the AM from eight placentas within 24 hours after delivery, under clean conditions. After washing and mixing, AM extracts (AMEs were prepared using pulverization and homogenization methods, and different processing and storing conditions. Main outcome measures were the amount of added protease inhibitor (PI, the relative centrifugal force (g, in-process temperature, repeated extraction times, drying percentage, repeated pulverization times, and the effect of filtering with 0.2 μm filters. Extract samples were preserved at different temperature and time parameters, and analyzed for hepatic growth factor (HGF and total protein using ELISA and calorimetric methods, respectively. Results: The extracted HGF was 20% higher with pulverization as compared to homogenization, and increased by increasing the PI to 5.0 μl/g of dried AM. Repeating centrifugation up to 3 times almost doubled the extracted HGF and protein. Storing the AME at −170° for 6 months caused a 50% drop in the level of HGF and protein. Other studied parameters showed no significant effect on the extracted amount of HGF or total protein. Conclusion: Appropriate extraction methods with an adequate amount of PI increases the level of extractable components from harvested AMs. To achieve the maximal therapeutic effects of AMEs, it is necessary to consider the half-life of its bioactive components.

  14. Are extraction methods in quantitative assays of pharmacopoeia monographs exhaustive? A comparison with pressurized liquid extraction.

    Science.gov (United States)

    Basalo, Carlos; Mohn, Tobias; Hamburger, Matthias

    2006-10-01

    The extraction methods in selected monographs of the European and the Swiss Pharmacopoeia were compared to pressurized liquid extraction (PLE) with respect to the yield of constituents to be dosed in the quantitative assay for the respective herbal drugs. The study included five drugs, Belladonnae folium, Colae semen, Boldo folium, Tanaceti herba and Agni casti fructus. They were selected to cover different classes of compounds to be analyzed and different extraction methods to be used according to the monographs. Extraction protocols for PLE were optimized by varying the solvents and number of extraction cycles. In PLE, yields > 97 % of extractable analytes were typically achieved with two extraction cycles. For alkaloid-containing drugs, the addition of ammonia prior to extraction significantly increased the yield and reduced the number of extraction cycles required for exhaustive extraction. PLE was in all cases superior to the extraction protocol of the pharmacopoeia monographs (taken as 100 %), with differences ranging from 108 % in case of parthenolide in Tanaceti herba to 343 % in case of alkaloids in Boldo folium.

  15. [Genomic DNA extraction from hair sacs of pigs using modified phenol-chloroform method].

    Science.gov (United States)

    Wang, Ji-Ying; Yu, Ying; Feng, Li-Xia; Wang, Huai-Zhong; Zhang, Qin

    2010-07-01

    In referring to various methods for genomic DNA extraction from different tissues, we modified the classical phenol-chloroform procedure and reaction system for use in genomic DNA extraction from pig hair sacs. With the modified the phenol-chloroform method we successfully obtained high quality genomic DNA from pig hair sacs. Genomic DNA can be extracted from sacs of one to six pig hairs with satisfied quantity and quality for the need of PCR-based molecular ex-periment.

  16. Feature extraction for deep neural networks based on decision boundaries

    Science.gov (United States)

    Woo, Seongyoun; Lee, Chulhee

    2017-05-01

    Feature extraction is a process used to reduce data dimensions using various transforms while preserving the discriminant characteristics of the original data. Feature extraction has been an important issue in pattern recognition since it can reduce the computational complexity and provide a simplified classifier. In particular, linear feature extraction has been widely used. This method applies a linear transform to the original data to reduce the data dimensions. The decision boundary feature extraction method (DBFE) retains only informative directions for discriminating among the classes. DBFE has been applied to various parametric and non-parametric classifiers, which include the Gaussian maximum likelihood classifier (GML), the k-nearest neighbor classifier, support vector machines (SVM) and neural networks. In this paper, we apply DBFE to deep neural networks. This algorithm is based on the nonparametric version of DBFE, which was developed for neural networks. Experimental results with the UCI database show improved classification accuracy with reduced dimensionality.

  17. Chloroform extraction of iodine in seawater: method development

    Science.gov (United States)

    Seidler, H. B.; Glimme, A.; Tumey, S.; Guilderson, T. P.

    2012-12-01

    While 129I poses little to no radiological health hazard, the isotopic ratio of 129I to stable iodine is very useful as a nearly conservative tracer for ocean mixing processes. The unfortunate disaster at the Fukushima Daiichi nuclear power plant released many radioactive materials into the environment, including 129I. The release allows the studying of oceanic processes through the tracking of 129I. However, with such a low iodine (~0.5 micromolar) and 129I concentrations (research and worked towards maximum efficiency of the process while boosting the recovery of iodine. During development, we assessed each methodological change qualitatively using a color scale (I2 in CHCl3) and quantitatively using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The "optimized method" yielded a 20-40% increase in recovery of the iodine compared to the base method (80-85% recovery vs. 60%). Lastly, the "optimized method" was tested by AMS for fractionation of the extracted iodine.

  18. Selection of an Appropriate Protein Extraction Method to Study the Phosphoproteome of Maize Photosynthetic Tissue

    Science.gov (United States)

    Luís, Inês M.; Alexandre, Bruno M.; Oliveira, M. Margarida

    2016-01-01

    Often plant tissues are recalcitrant and, due to that, methods relying on protein precipitation, such as TCA/acetone precipitation and phenol extraction, are usually the methods of choice for protein extraction in plant proteomic studies. However, the addition of precipitation steps to protein extraction methods may negatively impact protein recovery, due to problems associated with protein re-solubilization. Moreover, we show that when working with non-recalcitrant plant tissues, such as young maize leaves, protein extraction methods with precipitation steps compromise the maintenance of some labile post-translational modifications (PTMs), such as phosphorylation. Therefore, a critical issue when studying PTMs in plant proteins is to ensure that the protein extraction method is the most appropriate, both at qualitative and quantitative levels. In this work, we compared five methods for protein extraction of the C4-photosynthesis related proteins, in the tip of fully expanded third-leaves. These included: TCA/Acetone Precipitation; Phenol Extraction; TCA/Acetone Precipitation followed by Phenol Extraction; direct extraction in Lysis Buffer (a urea-based buffer); and direct extraction in Lysis Buffer followed by Cleanup with a commercial kit. Protein extraction in Lysis Buffer performed better in comparison to the other methods. It gave one of the highest protein yields, good coverage of the extracted proteome and phosphoproteome, high reproducibility, and little protein degradation. This was also the easiest and fastest method, warranting minimal sample handling. We also show that this method is adequate for the successful extraction of key enzymes of the C4-photosynthetic metabolism, such as PEPC, PPDK, PEPCK, and NADP-ME. This was confirmed by MALDI-TOF/TOF MS analysis of excised spots of 2DE analyses of the extracted protein pools. Staining for phosphorylated proteins in 2DE revealed the presence of several phosphorylated isoforms of PEPC, PPDK, and PEPCK. PMID

  19. Optimized protein extraction methods for proteomic analysis of Rhizoctonia solani.

    Science.gov (United States)

    Lakshman, Dilip K; Natarajan, Savithiry S; Lakshman, Sukla; Garrett, Wesley M; Dhar, Arun K

    2008-01-01

    Rhizoctonia solani (Teleomorph: Thanatephorus cucumeris, T. praticola) is a basidiomycetous fungus and a major cause of root diseases of economically important plants. Various isolates of this fungus are also beneficially associated with orchids, may serve as biocontrol agents or remain as saprophytes with roles in decaying and recycling of soil organic matter. R. solani displays several hyphal anastomosis groups (AG) with distinct host and pathogenic specializations. Even though there are reports on the physiological and histological basis of Rhizoctonia-host interactions, very little is known about the molecular biology and control of gene expression early during infection by this pathogen. Proteamic technologies are powerful tools for examining alterations in protein profiles. To aid studies on its biology and host pathogen interactions, a two-dimensional (2-D) gel-based global proteomic study has been initiated. To develop an optimized protein extraction protocol for R. solani, we compared two previously reported protein extraction protocols for 2-D gel analysis of R. solani (AG-4) isolate Rs23. Both TCA-acetone precipitation and phosphate solubilization before TCA-acetone precipitation worked well for R. solani protein extraction, although selective enrichment of some proteins was noted with either method. About 450 spots could be detected with the densitiometric tracing of Coomassie blue-stained 2-D PAGE gels covering pH 4-7 and 6.5-205 kDa. Selected protein spots were subjected to mass spectrometric analysis with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Eleven protein spots were positively identified based on peptide mass fingerprinting match with fungal proteins in public databases with the Mascot search engine. These results testify to the suitability of the two optimized protein extraction protocols for 2-D proteomic studies of R. solani.

  20. Comparison of Methods for Protein Extraction from Pine Needles

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Extraction of proteins from pine needles for proteomic analysis has long been a challenge for scientists. We compared three different protein extraction methods including sucrose, Tris-HCl and trichloroacetic acid (TCA)/acetone (TCA method) to determine their efficiency in separating pine needle proteins by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and two-dimensional PAGE (2D-PAGE). Proteins were then separated by SDS-PAGE. Among three methods the method using sucrose extraction buffer showed the highest efficiency and highest quality in separating proteins. In addition, clearer and more stable strips were detected by SDS-PAGE using sucrose extraction buffer. When the proteins extracted using sucrose extraction buffer were separated by 2D-PAGE, more than 300 protein spots, with isoelectric points (PI) ranging from 4.0 to 7.0 and molecular weights (MW) from 6.5 to 97.4 kD, were observed. This confirmed that the method with sucrose extraction buffer was an efficient and reliable method for extracting proteins from pine needles.

  1. Effects of Different Extraction Methods and Conditions on the Phenolic Composition of Mate Tea Extracts

    Directory of Open Access Journals (Sweden)

    Jelena Vladic

    2012-03-01

    Full Text Available A simple and rapid HPLC method for determination of chlorogenic acid (5-O-caffeoylquinic acid in mate tea extracts was developed and validated. The chromatography used isocratic elution with a mobile phase of aqueous 1.5% acetic acid-methanol (85:15, v/v. The flow rate was 0.8 mL/min and detection by UV at 325 nm. The method showed good selectivity, accuracy, repeatability and robustness, with detection limit of 0.26 mg/L and recovery of 97.76%. The developed method was applied for the determination of chlorogenic acid in mate tea extracts obtained by ethanol extraction and liquid carbon dioxide extraction with ethanol as co-solvent. Different ethanol concentrations were used (40, 50 and 60%, v/v and liquid CO2 extraction was performed at different pressures (50 and 100 bar and constant temperature (27 ± 1 °C. Significant influence of extraction methods, conditions and solvent polarity on chlorogenic acid content, antioxidant activity and total phenolic and flavonoid content of mate tea extracts was established. The most efficient extraction solvent was liquid CO2 with aqueous ethanol (40% as co-solvent using an extraction pressure of 100 bar.

  2. Ontology background extraction method based on P-sets%基于P-集合的本体形式背景抽取

    Institute of Scientific and Technical Information of China (English)

    阎红灿; 王坚; 刘保相

    2012-01-01

    领域本体形式背景的分析抽取、定义本体领域属性的核心概念是构建领域本体的关键.应用概念格模型表示领域知识,引入P-集合理论进行形式背景的定义和领域属性分析,根据领域中个体相似度矩阵对形式背景的领域属性进行优劣判断,为领域本体的构建提供了新的研究模式和方法;通过一个药用植物的实验本体,证明内涵和外延联合的概念相似度计算方法提高了知识库中核心概念扩展的计算精度,为本体推理奠定了技术基础.%Domain ontology background analysis, extraction and core conception definition of field properties are always the key to building a domain ontology. This paper used concept lattice model to express domain knowledge, introduced P-sets theory to delimit ontology background and select field properties, and judged the merits of field properties according to similarity matrix of domain individuals, thereby proposed a new research model and method to build domain ontology. The experiment of medicinal plants proved that the calculation of concept similarity unites intent and extent improved the accuracy of the core concept expansion of the knowledge, and lay the technical foundation for ontology reasoning.

  3. A novel extraction method for β-carotene and other carotenoids in fruit juices using air-assisted, low-density solvent-based liquid-liquid microextraction and solidified floating organic droplets.

    Science.gov (United States)

    Sricharoen, Phitchan; Limchoowong, Nunticha; Techawongstien, Suchila; Chanthai, Saksit

    2016-07-15

    Green extraction using air-assisted, low-density solvent-based liquid-liquid microextraction and solidified floating organic droplets (AA-LDS-LLME-SFOD) prior to spectrophotometry was successfully applied for quantitation of carotenoids in fruit juices. Under optimal conditions, β-carotene could be quantified with a linear response up to a concentration of 60 μg mL(-1). The procedure was performed in a microcentrifuge tube with 40 μL of 1-dodecanol as the extraction solvent and a 1.0 mL juice sample containing 8% NaCl under seven extraction cycles of air pumping by syringe. This method was validated based on linearity (0.2-30 μg mL(-1), R(2) 0.998), limit of detection (0.04 μg mL(-1)) and limit of quantification (0.13 μg mL(-1)). The precision, expressed as the relative standard deviation (RSD) of the calibration curve slope (n=12), for inter-day and intra-day analysis was 4.85% and 7.92%, respectively. Recovery of β-carotene was in the range of 93.6-101.5%. The newly proposed method is simple, rapid and environmentally friendly, particularly as a useful screening test for food analysis.

  4. Evaluating DNA Extraction Methods for Community Profiling of Pig Hindgut Microbial Community.

    Science.gov (United States)

    Lu, Yang; Hugenholtz, Philip; Batstone, Damien John

    2015-01-01

    Recovery of high quality PCR-amplifiable DNA has been the general minimal requirement for DNA extraction methods for bulk molecular analysis. However, modern high through-put community profiling technologies are more sensitive to representativeness and reproducibility of DNA extraction method. Here, we assess the impact of three DNA extraction methods (with different levels of extraction harshness) for assessing hindgut microbiomes from pigs fed with different diets (with different physical properties). DNA extraction from each sample was performed in three technical replicates for each extraction method and sequenced by 16S rRNA amplicon sequencing. Host was the primary driver of molecular sequencing outcomes, particularly on samples analysed by wheat based diets, but higher variability, with one failed extraction occurred on samples from a barley fed pig. Based on these results, an effective method will enable reproducible and quality outcomes on a range of samples, whereas an ineffective method will fail to generate extract, but host (rather than extraction method) remains the primary factor.

  5. Comparison of DNA extraction methods for meat analysis.

    Science.gov (United States)

    Yalçınkaya, Burhanettin; Yumbul, Eylem; Mozioğlu, Erkan; Akgoz, Muslum

    2017-04-15

    Preventing adulteration of meat and meat products with less desirable or objectionable meat species is important not only for economical, religious and health reasons, but also, it is important for fair trade practices, therefore, several methods for identification of meat and meat products have been developed. In the present study, ten different DNA extraction methods, including Tris-EDTA Method, a modified Cetyltrimethylammonium Bromide (CTAB) Method, Alkaline Method, Urea Method, Salt Method, Guanidinium Isothiocyanate (GuSCN) Method, Wizard Method, Qiagen Method, Zymogen Method and Genespin Method were examined to determine their relative effectiveness for extracting DNA from meat samples. The results show that the salt method is easy to perform, inexpensive and environmentally friendly. Additionally, it has the highest yield among all the isolation methods tested. We suggest this method as an alternative method for DNA isolation from meat and meat products. Copyright © 2016 Elsevier Ltd. All rights reserved.

  6. Effect of Extraction Methods on Polysaccharide of Clitocybe maxima Stipe

    OpenAIRE

    Junchen Chen; Pufu Lai; Hengsheng Shen; Hengguang Zhen; Rutao Fang

    2013-01-01

    Clitocybe maxima (Gartn. ex Mey. Fr.) Quél. is a favorable edible fungi species. The proportion of its stipe is about 45% of entire fruit biomass, which is a low value defined byproduct. To increase its value added utilization, three extraction methods (as hot water, microwave-assisted and complex-enzyme-hydrolysis-assist) were conducted. The extraction effect on the polysaccharide of Clitocybe maxima stipe was compared and the processing conditions in extraction were optimized. The content o...

  7. Methods for microbial DNA extraction from soil for PCR amplification

    OpenAIRE

    Yeates C; Gillings, MR; Davison AD; Altavilla N; Veal DA

    1998-01-01

    Amplification of DNA from soil is often inhibited by co-purified contaminants. A rapid, inexpensive, large-scale DNA extraction method involving minimal purification has been developed that is applicable to various soil types (1). DNA is also suitable for PCR amplification using various DNA targets. DNA was extracted from 100g of soil using direct lysis with glass beads and SDS followed by potassium acetate precipitation, polyethylene glycol precipitation, phenol extraction and isopropanol pr...

  8. COMPARISON OF RNA EXTRACTION METHODS FOR Passiflora edulis SIMS LEAVES

    OpenAIRE

    2016-01-01

    ABSTRACT Functional genomic analyses require intact RNA; however, Passiflora edulis leaves are rich in secondary metabolites that interfere with RNA extraction primarily by promoting oxidative processes and by precipitating with nucleic acids. This study aimed to analyse three RNA extraction methods, Concert™ Plant RNA Reagent (Invitrogen, Carlsbad, CA, USA), TRIzol® Reagent (Invitrogen) and TRIzol® Reagent (Invitrogen)/ice -commercial products specifically designed to extract RNA, and...

  9. Advanced Extraction Methods for Actinide/Lanthanide Separations

    Energy Technology Data Exchange (ETDEWEB)

    Scott, M.J.

    2005-12-01

    The separation of An(III) ions from chemically similar Ln(III) ions is perhaps one of the most difficult problems encountered during the processing of nuclear waste. In the 3+ oxidation states, the metal ions have an identical charge and roughly the same ionic radius. They differ strictly in the relative energies of their f- and d-orbitals, and to separate these metal ions, ligands will need to be developed that take advantage of this small but important distinction. The extraction of uranium and plutonium from nitric acid solution can be performed quantitatively by the extraction with the TBP (tributyl phosphate). Commercially, this process has found wide use in the PUREX (plutonium uranium extraction) reprocessing method. The TRUEX (transuranium extraction) process is further used to coextract the trivalent lanthanides and actinides ions from HLLW generated during PUREX extraction. This method uses CMPO [(N, N-diisobutylcarbamoylmethyl) octylphenylphosphineoxide] intermixed with TBP as a synergistic agent. However, the final separation of trivalent actinides from trivalent lanthanides still remains a challenging task. In TRUEX nitric acid solution, the Am(III) ion is coordinated by three CMPO molecules and three nitrate anions. Taking inspiration from this data and previous work with calix[4]arene systems, researchers on this project have developed a C3-symmetric tris-CMPO ligand system using a triphenoxymethane platform as a base. The triphenoxymethane ligand systems have many advantages for the preparation of complex ligand systems. The compounds are very easy to prepare. The steric and solubility properties can be tuned through an extreme range by the inclusion of different alkoxy and alkyl groups such as methyoxy, ethoxy, t-butoxy, methyl, octyl, t-pentyl, or even t-pentyl at the ortho- and para-positions of the aryl rings. The triphenoxymethane ligand system shows promise as an improved extractant for both tetravalent and trivalent actinide recoveries form

  10. Extracting clinical information to support medical decision based on standards.

    Science.gov (United States)

    Gomoi, Valentin; Vida, Mihaela; Stoicu-Tivadar, Lăcrămioara; Stoicu-Tivadar, Vasile

    2011-01-01

    The paper presents a method connecting medical databases to a medical decision system, and describes a service created to extract the necessary information that is transferred based on standards. The medical decision can be improved based on many inputs from different medical locations. The developed solution is described for a concrete case concerning the management for chronic pelvic pain, based on the information retrieved from diverse healthcare databases.

  11. A method for extraction of the feature elements point clouds based on spatial grid%一种基于空间网格的地物要素点云提取方法

    Institute of Scientific and Technical Information of China (English)

    孙森震; 卢小平; 杨尚波; 朱宁宁; 罗玲

    2015-01-01

    LiDAR点云的分类提取是点云数据处理中的首要步骤。为了提高复杂场景中点云数据分类提取方法的适用性,文中根据三维数学形态学思想,提出一种基于地物空间形状特征的点云提取方法。方法首先建立网格索引,划分网格空间,进行点云数据组织,然后根据地物在网格空间中的形状特征设计出四种参数可控的空间网格算子,最后结合点云反射强度信息自动提取特定地物点云。通过对复杂场景中的铁路地物要素LiDAR点云中建筑、电力杆线、铁路轨道的提取和郊区机载LiDAR点云中的地面与建筑屋顶的提取,验证提取算法的适用性,为点云分类提取功能模块的程序设计提供便捷方法。%The primary step in point clouds data processing is the extraction of LiDAR point clouds by classification .In order to improve the adaptability of method for extracting point clouds in complex scenes , this paper puts forward a shape feature point cloud extraction approach based on 3D mathematical morphology .First ,grid index is established and then grid space is divided in order to organize point cloud data well . Second , four controllable spatial grid operators are designed according to the shape characteristics of features in grid space .Last ,the operators combined with reflection intensity information are used to extract the point clouds of specific features automatically .The above method is adopted to extract railway features such as building ,electric power alignment pole in complex scenes and building roofs from airborne LiDAR data in suburbs . The processing result verifies the applicability of the extraction algorithm . This practical method is proposed for program design of function module like extraction of LiDAR point clouds by classification .

  12. Dynamic Self-Organizing Landmark Extraction Method Based on 2-Dimensional Growing Dynamic Self-Organizing Feature Map%基于二维GDSOM的路标动态自组织提取方法

    Institute of Scientific and Technical Information of China (English)

    王作为; 张汝波

    2012-01-01

    A dynamic self-organizing structural feature extraction method is presented based on distance sensor. The procedure consists of three parts; design of active exploration behavior, dimensionality reduction process of spatio-temporal information and self-organizing landmark extraction method. In this paper, active exploration behavior based on follow-wall is designed to obtain high correlative spatio-temporal sequence information. Activity neurons based on variety detection and activation intensity are used to reduce the dimensionality of spatio-temporal sequence. Finally, a method of 2-Dimensional growing dynamic self-organizing feature map (2-Dimensional GDSOM) is proposed to achieve self-organizing extraction and identification of environmental landmarks. The experimental results demonstrate the effectiveness of the method.%提出一种基于距离传感器的结构化特征的动态、自组织提取方法.该方法由3个部分组成:主动感知行为的设计,时空信息的降维处理及路标的自组织提取.设计基于沿墙走的“主动感知行为”来获得高相关性的感知时空序列信息;给出基于变化检测和激活强度的活性神经元来对时空序列信息降维;最后提出一种二维动态增长自组织特征图方法,实现环境路标的自组织提取和识别.实验结果验证该方法的有效性.

  13. Features Extraction for Object Detection Based on Interest Point

    Directory of Open Access Journals (Sweden)

    Amin Mohamed Ahsan

    2013-05-01

    Full Text Available In computer vision, object detection is an essential process for further processes such as object tracking, analyzing and so on. In the same context, extraction features play important role to detect the object correctly. In this paper we present a method to extract local features based on interest point which is used to detect key-points within an image, then, compute histogram of gradient (HOG for the region surround that point. Proposed method used speed-up robust feature (SURF method as interest point detector and exclude the descriptor. The new descriptor is computed by using HOG method. The proposed method got advantages of both mentioned methods. To evaluate the proposed method, we used well-known dataset which is Caltech101. The initial result is encouraging in spite of using a small data for training.

  14. 21 CFR 172.585 - Sugar beet extract flavor base.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 3 2010-04-01 2009-04-01 true Sugar beet extract flavor base. 172.585 Section 172... CONSUMPTION Flavoring Agents and Related Substances § 172.585 Sugar beet extract flavor base. Sugar beet...) Sugar beet extract flavor base is the concentrated residue of soluble sugar beet extractives from...

  15. The effect of extraction method on antioxidant activity of Atractylis babelii Hochr. leaves and flowers extracts

    Directory of Open Access Journals (Sweden)

    Khadidja Boudebaz

    2015-04-01

    Full Text Available In this study, leaves and flowers of Atractylis babelii were chosen to investigate their antioxidant activities. Thus, a comparison between the antioxidant properties of ethanolic crude extracts obtained by two extraction methods, maceration and soxhlet extraction, was performed using two different tests; DPPH and ABTS radical assays. Besides, total polyphenol, flavonoid and condensed tannin contents were determined in leaves and flowers of Atractylis babelii by colorimetric methods. The results showed that there was no correlation between phenolic contents of plant parts and their antioxidant activity. Whereas, leaves and flowers of Atractylis babelii showed that both had almost similar phenolic contents, while their antioxidant activity depended on the plant parts. Furthermore, the antioxidant activity of plant parts was also depended on extraction method. Such a result may be likely ascribed to a variety of chemical composition can be found in Atractylis babelii extracts which has been related to its antioxidant properties.

  16. Enzyme-assisted extraction and ionic liquid-based dispersive liquid-liquid microextraction followed by high-performance liquid chromatography for determination of patulin in apple juice and method optimization using central composite design.

    Science.gov (United States)

    Mohammadi, Abdorreza; Tavakoli, Rouya; Kamankesh, Marzieh; Rashedi, Hamid; Attaran, Abdolmohammad; Delavar, Mostafa

    2013-12-01

    A simple and highly sensitive analytical methodology for isolation and determination of patulin in apple-juice samples, based on enzyme-assisted extraction (EAE) and ionic liquid-based dispersive liquid-liquid microextraction (IL-DLLME) was developed and optimized. Enzymes play essential roles in eliminating interference and increasing the extraction efficiency of patulin. Apple-juice samples were treated with pectinase and amylase. A mixture of 80 μL ionic liquid and 600 μL methanol (disperser solvent) was used for the IL-DLLME process. The sedimented phase was analyzed by high-performance liquid chromatography (HPLC). Experimental parameters controlling the performance of DLLME, were optimized using response surface methodology (RSM) based on central composite design (CCD). Under optimum conditions, the calibration curves showed high levels of linearity (R(2)>0.99) for patulin in the range of 1-200 ng g(-1). The relative standard deviation (RSD) for the seven analyses was 7.5%. The limits of detection (LOD) and limits of quantification (LOQ) were 0.15 ng g(-1) and 0.5 ng g(-1), respectively. The merit figures, compared with other methods, showed that new proposed method is an accurate, precise and reliable sample-pretreatment method that substantially reduces sample matrix interference and gives very good enrichment factors and detection limits for investigation trace amount of patulin in apple-juice samples.

  17. Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation

    Science.gov (United States)

    2015-01-22

    M T R 1 4 0 4 4 3 R 2 M I T R E T E C H N I C A L R E P O R T Methods for Evaluating Text Extraction Toolkits : An...JAN 2015 2. REPORT TYPE 3. DATES COVERED 00-00-2015 to 00-00-2015 4. TITLE AND SUBTITLE Methods for Evaluating Text Extraction Toolkits : An...contributes to closing this gap. We discuss an exploratory investigation into a method and a set of tools for evaluating a text extraction toolkit

  18. An efficient method for DNA extraction from Cladosporioid fungi

    NARCIS (Netherlands)

    Moslem, M.A.; Bahkali, A.H.; Abd-Elsalam, K.A.; Wit, de P.J.G.M.

    2010-01-01

    We developed an efficient method for DNA extraction from Cladosporioid fungi, which are important fungal plant pathogens. The cell wall of Cladosporioid fungi is often melanized, which makes it difficult to extract DNA from their cells. In order to overcome this we grew these fungi for three days on

  19. An efficient method for DNA extraction from Cladosporioid fungi

    NARCIS (Netherlands)

    Moslem, M.A.; Bahkali, A.H.; Abd-Elsalam, K.A.; Wit, de P.J.G.M.

    2010-01-01

    We developed an efficient method for DNA extraction from Cladosporioid fungi, which are important fungal plant pathogens. The cell wall of Cladosporioid fungi is often melanized, which makes it difficult to extract DNA from their cells. In order to overcome this we grew these fungi for three days on

  20. An Improved Method for Extraction and Separation of Photosynthetic Pigments

    Science.gov (United States)

    Katayama, Nobuyasu; Kanaizuka, Yasuhiro; Sudarmi, Rini; Yokohama, Yasutsugu

    2003-01-01

    The method for extracting and separating hydrophobic photosynthetic pigments proposed by Katayama "et al." ("Japanese Journal of Phycology," 42, 71-77, 1994) has been improved to introduce it to student laboratories at the senior high school level. Silica gel powder was used for removing water from fresh materials prior to extracting pigments by a…

  1. A method for extracting $cos\\alpha$

    CERN Document Server

    Grinstein, B; Rothstein, I Z; Grinstein, Benjamin; Nolte, Detlef R.; Rothstein, Ira Z.

    2000-01-01

    We show that it is possible to extract the weak mixing angle alpha via a measurement of the rate for B^+(-) -> \\pi^+(-) e^+e^-. The sensitivity to cos(alpha) results from the interference between the long and short distance contributions. The short distance contribution can be computed, using heavy quark symmetry, in terms of semi-leptonic form factors. More importantly, we show that, using Ward identities and a short distance operator product expansion, the long distance contribution can be calculated without recourse to light cone wave functions when the invariant mass of the lepton pair, q^2, is much larger than LQCDs. We find that for q^2 > 2 GeV^2 the branching fraction is approximately 1 * 10^{-8}|V_{td}/0.008|^2. The shape of the differential rate is very sensitive to the value of cos(alpha) at small values of q^2 with dGamma /dq^2 varying up to 50% in the interval -1< cos(alpha)< 1 at q^2= 2 GeV^2. The size of the variation depends upon the ratio V_{ub}/V_{td}.

  2. Discriminative tonal feature extraction method in mandarin speech recognition

    Institute of Scientific and Technical Information of China (English)

    HUANG Hao; ZHU Jie

    2007-01-01

    To utilize the supra-segmental nature of Mandarin tones, this article proposes a feature extraction method for hidden markov model (HMM) based tone modeling. The method uses linear transforms to project F0 (fundamental frequency) features of neighboring syllables as compensations, and adds them to the original F0 features of the current syllable. The transforms are discriminatively trained by using an objective function termed as "minimum tone error", which is a smooth approximation of tone recognition accuracy. Experiments show that the new tonal features achieve 3.82% tone recognition rate improvement, compared with the baseline, using maximum likelihood trained HMM on the normal F0 features. Further experiments show that discriminative HMM training on the new features is 8.78% better than the baseline.

  3. An effective method for network module extraction from microarray data

    Directory of Open Access Journals (Sweden)

    Mahanta Priyakshi

    2012-08-01

    Full Text Available Abstract Background The development of high-throughput Microarray technologies has provided various opportunities to systematically characterize diverse types of computational biological networks. Co-expression network have become popular in the analysis of microarray data, such as for detecting functional gene modules. Results This paper presents a method to build a co-expression network (CEN and to detect network modules from the built network. We use an effective gene expression similarity measure called NMRS (Normalized mean residue similarity to construct the CEN. We have tested our method on five publicly available benchmark microarray datasets. The network modules extracted by our algorithm have been biologically validated in terms of Q value and p value. Conclusions Our results show that the technique is capable of detecting biologically significant network modules from the co-expression network. Biologist can use this technique to find groups of genes with similar functionality based on their expression information.

  4. A method to extract soil water for stable isotope analysis

    Science.gov (United States)

    Revesz, K.; Woods, P.H.

    1990-01-01

    A method has been developed to extract soil water for determination of deuterium (D) and 18O content. The principle of this method is based on the observation that water and toluene form an azeotropic mixture at 84.1??C, but are completely immiscible at ambient temperature. In a specially designed distillation apparatus, the soil water is distilled at 84.1??C with toluene and is separated quantitatively in the collecting funnel at ambient temperature. Traces of toluene are removed and the sample can be analyzed by mass spectrometry. Kerosene may be substituted for toluene. The accuracy of this technique is ?? 2 and ?? 0.2???, respectively, for ??D and ??18O. Reduced accuracy is obtained at low water contents. ?? 1990.

  5. Ball mill assisted rapid mechanochemical extraction method for natural products from plants.

    Science.gov (United States)

    Wang, Man; Bi, Wentao; Huang, Xiaohua; Chen, David Da Yong

    2016-06-03

    A ball mill assisted mechanochemical extraction method was developed to extract compounds of natural product (NP) from plant using ionic liquid (IL). A small volume ball mill, also known as PastPrep(®) Homogenizer, which is often used for high-speed lysis of biological samples and for other applications, was used to dramatically increase the speed, completeness and reproducibility of the extraction process at room temperature to preserve the chemical integrity of the extracted compounds. In this study, tanshinones were selected as target compounds to evaluate the performance of this extraction method. Factors affecting the extraction efficiency, such as the duration, IL concentration and solid/liquid ratio were systematically optimized using the response surface methodology. Under the optimized conditions, the described method was more efficient and much faster than the conventional extraction methods such as methanol based ultrasound assisted extraction (UAE) and heat reflux extraction (HRE) that consumes a lot more organic solvent. In addition, the natural products of interest were enriched by anion metathesis of ionic liquids, combining extraction and preconcentration in the same process. The extractant was analyzed by HPLC and LC-MS. The reproducibility (RSD, n=5), correlation coefficient (r(2)) of the calibration curve, and the limit of detection, were determined to be in the range of 4.7-5.2%, 0.9992-0.9995, and 20-51ng/mL, respectively.

  6. Determination of total antioxidant capacity of humic acids using CUPRAC, Folin-Ciocalteu, noble metal nanoparticle- and solid-liquid extraction-based methods.

    Science.gov (United States)

    Karadirek, Şeyda; Kanmaz, Nergis; Balta, Zeynep; Demirçivi, Pelin; Üzer, Ayşem; Hızal, Jülide; Apak, Reşat

    2016-06-01

    Total antioxidant capacity (TAC) of humic acid (HA) samples was determined using CUPRAC (CUPric Reducing Antioxidant Capacity), FC (Folin-Ciocalteu), QUENCHER-CUPRAC, QUENCHER-FC, Ag-NP (Silver nanoparticle)‒ and Au-NP (Gold nanoparticle)‒based methods. Conventional FC and modified FC (MFC) methods were applied to solid samples. Because of decreased solubility of Folin-Ciocalteu's phenol reagent in organic solvents, solvent effect on TAC measurement was investigated using QUENCHER-CUPRAC assay by using ethanol:distilled water and dimethyl sulfoxide:distilled water with varying ratios. To see the combined effect of solubilization (leaching) and TAC measurement of humic acids simultaneously, QUENCHER experiments were performed at 25°C and 50°C; QUENCHER-CUPRAC and QUENCHER-FC methods agreed well and had similar precision in F-statistics. Although the Gibbs free energy change (ΔG°) of the oxidation of HA dihydroxy phenols with the test reagents were negative, the ΔG° was positive only for the reaction of CUPRAC reagent with isolated monohydric phenols, showing CUPRAC selectivity toward polyphenolic antioxidants. This is the first work on the antioxidant capacity measurement of HA having a sparingly soluble matrix where enhanced solubilization of bound phenolics is achieved with coupled oxidation by TAC reagents.

  7. 基于相容模糊概念的规则提取方法%Research on rule extraction method based on compatibility fuzzy concept

    Institute of Scientific and Technical Information of China (English)

    胡小康; 王俊红

    2016-01-01

    概念格是具有严格数学模型的数据分析与规则提取的一种有效工具,大部分情况下是在完备的精确形式背景即二值背景下进行研究,然而在现实生活中遇到的大多数情况是不完备的模糊形式背景,不完备模糊形式背景中包含许多不确定的信息,其上的知识表示与完备形式背景下的知识表示既有区别又有联系。为了研究两者的内在联系,本文定义了相似模糊概念和相容模糊概念,构建了相似模糊概念格和建立了在不完备模糊形式背景下相容模糊概念之间的偏序关系,进而设计出面向不完备模糊形式背景下的关联规则挖掘算法。最后通过实验验证了该方法的有效性和可行性。%The concept lattice is an effective data analysis and rule extraction tool with a strict mathematical model. In most instances, studies are carried out in a complete formal context, i.e., a two-value context. However, in real life, an incomplete fuzzy formal context is frequently experienced. Incomplete fuzzy contexts contain a lot of uncer⁃tain information. There are both distinctions and relationships that can be identified between the forms of knowledge representation in the incomplete fuzzy formal and complete formal contexts. To study their internal relationship, in this paper, we define approximate fuzzy and compatible fuzzy concepts, establish an approximate fuzzy concept lat⁃tice, and identify a partial ordering relationship between compatible fuzzy concepts in an incomplete fuzzy formal context. We extend the design of an association rules mining algorithm to address the background of the incomplete fuzzy formal context, and conduct an experiment to demonstrate the feasibility and effectiveness of the proposed method.

  8. Bridging the gap between comprehensive extraction protocols in plant metabolomics studies and method validation.

    Science.gov (United States)

    Bijttebier, Sebastiaan; Van der Auwera, Anastasia; Foubert, Kenn; Voorspoels, Stefan; Pieters, Luc; Apers, Sandra

    2016-09-07

    It is vital to pay much attention to the design of extraction methods developed for plant metabolomics, as any non-extracted or converted metabolites will greatly affect the overall quality of the metabolomics study. Method validation is however often omitted in plant metabolome studies, as the well-established methodologies for classical targeted analyses such as recovery optimization cannot be strictly applied. The aim of the present study is to thoroughly evaluate state-of-the-art comprehensive extraction protocols for plant metabolomics with liquid chromatography-photodiode array-accurate mass mass spectrometry (LC-PDA-amMS) by bridging the gap with method validation. Validation of an extraction protocol in untargeted plant metabolomics should ideally be accomplished by validating the protocol for all possible outcomes, i.e. for all secondary metabolites potentially present in the plant. In an effort to approach this ideal validation scenario, two plant matrices were selected based on their wide versatility of phytochemicals: meadowsweet (Filipendula ulmaria) for its polyphenols content, and spicy paprika powder (from the genus Capsicum) for its apolar phytochemicals content (carotenoids, phytosterols, capsaicinoids). These matrices were extracted with comprehensive extraction protocols adapted from literature and analysed with a generic LC-PDA-amMS characterization platform that was previously validated for broad range phytochemical analysis. The performance of the comprehensive sample preparation protocols was assessed based on extraction efficiency, repeatability and intermediate precision and on ionization suppression/enhancement evaluation. The manuscript elaborates on the finding that none of the extraction methods allowed to exhaustively extract the metabolites. Furthermore, it is shown that depending on the extraction conditions enzymatic degradation mechanisms can occur. Investigation of the fractions obtained with the different extraction methods

  9. Distributed Parallel Endmember Extraction of Hyperspectral Data Based on Spark

    Directory of Open Access Journals (Sweden)

    Zebin Wu

    2016-01-01

    Full Text Available Due to the increasing dimensionality and volume of remotely sensed hyperspectral data, the development of acceleration techniques for massive hyperspectral image analysis approaches is a very important challenge. Cloud computing offers many possibilities of distributed processing of hyperspectral datasets. This paper proposes a novel distributed parallel endmember extraction method based on iterative error analysis that utilizes cloud computing principles to efficiently process massive hyperspectral data. The proposed method takes advantage of technologies including MapReduce programming model, Hadoop Distributed File System (HDFS, and Apache Spark to realize distributed parallel implementation for hyperspectral endmember extraction, which significantly accelerates the computation of hyperspectral processing and provides high throughput access to large hyperspectral data. The experimental results, which are obtained by extracting endmembers of hyperspectral datasets on a cloud computing platform built on a cluster, demonstrate the effectiveness and computational efficiency of the proposed method.

  10. 基于词义的关键词抽取方法研究%Research es on Word Sense-based Keword Extraction Method

    Institute of Scientific and Technical Information of China (English)

    李有梅

    2000-01-01

    In the fielk of automatic information processing,how to precisely describe the text's content has become a rather critical problem.The vector space presentation,which is widely applied at present,is used to approximately illustrate conceptions and meanings by extracting keywords from the text.

  11. Statistical feature extraction based iris recognition system

    Indian Academy of Sciences (India)

    ATUL BANSAL; RAVINDER AGARWAL; R K SHARMA

    2016-05-01

    Iris recognition systems have been proposed by numerous researchers using different feature extraction techniques for accurate and reliable biometric authentication. In this paper, a statistical feature extraction technique based on correlation between adjacent pixels has been proposed and implemented. Hamming distance based metric has been used for matching. Performance of the proposed iris recognition system (IRS) has been measured by recording false acceptance rate (FAR) and false rejection rate (FRR) at differentthresholds in the distance metric. System performance has been evaluated by computing statistical features along two directions, namely, radial direction of circular iris region and angular direction extending from pupil tosclera. Experiments have also been conducted to study the effect of number of statistical parameters on FAR and FRR. Results obtained from the experiments based on different set of statistical features of iris images show thatthere is a significant improvement in equal error rate (EER) when number of statistical parameters for feature extraction is increased from three to six. Further, it has also been found that increasing radial/angular resolution,with normalization in place, improves EER for proposed iris recognition system

  12. GPR Signal Denoising and Target Extraction With the CEEMD Method

    KAUST Repository

    Li, Jing

    2015-04-17

    In this letter, we apply a time and frequency analysis method based on the complete ensemble empirical mode decomposition (CEEMD) method in ground-penetrating radar (GPR) signal processing. It decomposes the GPR signal into a sum of oscillatory components, with guaranteed positive and smoothly varying instantaneous frequencies. The key idea of this method relies on averaging the modes obtained by empirical mode decomposition (EMD) applied to several realizations of Gaussian white noise added to the original signal. It can solve the mode-mixing problem in the EMD method and improve the resolution of ensemble EMD (EEMD) when the signal has a low signal-to-noise ratio. First, we analyze the difference between the basic theory of EMD, EEMD, and CEEMD. Then, we compare the time and frequency analysis with Hilbert-Huang transform to test the results of different methods. The synthetic and real GPR data demonstrate that CEEMD promises higher spectral-spatial resolution than the other two EMD methods in GPR signal denoising and target extraction. Its decomposition is complete, with a numerically negligible error.

  13. Microbial diversity in fecal samples depends on DNA extraction method

    DEFF Research Database (Denmark)

    Mirsepasi, Hengameh; Persson, Søren; Struve, Carsten

    2014-01-01

    BACKGROUND: There are challenges, when extracting bacterial DNA from specimens for molecular diagnostics, since fecal samples also contain DNA from human cells and many different substances derived from food, cell residues and medication that can inhibit downstream PCR. The purpose of the study...... was to evaluate two different DNA extraction methods in order to choose the most efficient method for studying intestinal bacterial diversity using Denaturing Gradient Gel Electrophoresis (DGGE). FINDINGS: In this study, a semi-automatic DNA extraction system (easyMag®, BioMérieux, Marcy I'Etoile, France......) and a manual one (QIAamp DNA Stool Mini Kit, Qiagen, Hilden, Germany) were tested on stool samples collected from 3 patients with Inflammatory Bowel disease (IBD) and 5 healthy individuals. DNA extracts obtained by the QIAamp DNA Stool Mini Kit yield a higher amount of DNA compared to DNA extracts obtained...

  14. String Variant Alias Extraction Method using Ensemble Learner

    Directory of Open Access Journals (Sweden)

    P.Selvaperumal

    2016-02-01

    Full Text Available String variant alias names are surnames which are string variant form of the primary name. Extracting string variant aliases are important in tasks such as information retrieval, information extraction, and name resolution etc. String variant alias extraction involves candidate alias name extraction and string variant alias validation. In this paper, string variant aliases are first extracted from the web and then using seven different string similarity metrics as features, candidate aliases are validated using ensemble classifier random forest. Experiments were conducted using string variant name-alias dataset containing name-alias data for 15 persons containing 30 name-alias pairs. Experimental results show that the proposed method outperforms other similar methods in terms of accuracy.

  15. comparison of protein extraction methods for the leaves of ficus ...

    African Journals Online (AJOL)

    F. I. Abdullah

    2017-05-01

    May 1, 2017 ... This study investigated several extraction methods for proteins from the leaves of Ficus .... found to be effective to remove plant lipids and pigments [22]. ... The addition of SDS as a solubilizing agent in the Tris buffered phenol.

  16. Comparison of four methods of DNA extraction from rice

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    @@ Polyphenols, teroens, and resins make it difficult to obtain high quality genomic DNA from rice. Four extraction methods were compared in our study, and CTAB precipitation was the most practical one.

  17. Accelerated, microwave-assisted, and conventional solvent extraction methods affect anthocyanin composition from colored grains.

    Science.gov (United States)

    Abdel-Aal, El-Sayed M; Akhtar, Humayoun; Rabalski, Iwona; Bryan, Michael

    2014-02-01

    Anthocyanins are important dietary components with diverse positive functions in human health. This study investigates effects of accelerated solvent extraction (ASE) and microwave-assisted extraction (MAE) on anthocyanin composition and extraction efficiency from blue wheat, purple corn, and black rice in comparison with the commonly used solvent extraction (CSE). Factorial experimental design was employed to study effects of ASE and MAE variables, and anthocyanin extracts were analyzed by spectrophotometry, high-performance liquid chromatography-diode array detector (DAD), and liquid chromatography-mass spectrometry chromatography. The extraction efficiency of ASE and MAE was comparable with CSE at the optimal conditions. The greatest extraction by ASE was achieved at 50 °C, 2500 psi, 10 min using 5 cycles, and 100% flush. For MAE, a combination of 70 °C, 300 W, and 10 min in MAE was the most effective in extracting anthocyanins from blue wheat and purple corn compared with 50 °C, 1200 W, and 20 min for black rice. The anthocyanin composition of grain extracts was influenced by the extraction method. The ASE extraction method seems to be more appropriate in extracting anthocyanins from the colored grains as being comparable with the CSE method based on changes in anthocyanin composition. The method caused lower structural changes in anthocaynins compared with the MAE method. Changes in blue wheat anthocyanins were lower in comparison with purple corn or black rice perhaps due to the absence of acylated anthocyanin compounds in blue wheat. The results show significant differences in anthocyanins among the 3 extraction methods, which indicate a need to standardize a method for valid comparisons among studies and for quality assurance purposes.

  18. Forward gated-diode method for parameter extraction of MOSFETs*

    Institute of Scientific and Technical Information of China (English)

    Zhang Chenfei; Ma Chenyue; Guo Xinjie; Zhang Xiufang; He Jin; Wang Guozeng; Yang Zhang; Liu Zhiwei

    2011-01-01

    The forward gated-diode method is used to extract the dielectric oxide thickness and body doping concentration of MOSFETs, especially when both of the variables are unknown previously. First, the dielectric oxide thickness and the body doping concentration as a function of forward gated-diode peak recombination-generation (R-G) current are derived from the device physics. Then the peak R-G current characteristics of the MOSFETs with different dielectric oxide thicknesses and body doping concentrations are simulated with ISE-Dessis for parameter extraction. The results from the simulation data demonstrate excellent agreement with those extracted from the forward gated-diode method.

  19. DEVELOPMENT OF TECHNOLOGY AND ANALYSIS METHODS OF COSMETICS WITH WATER EXTRACTS FROM HERBAL DRUGS RAW MATERIALS

    Directory of Open Access Journals (Sweden)

    A. A. Chakhirova

    2014-01-01

    Full Text Available The article presents studies on development of cosmetics with complex extracts from herb of Bidens, flowers of Calendula, and flowers of Matricaria. We cited the analysis methods of the received extract and a drug on its base

  20. Determination of copper in natural waters and sediments by extraction spectroscopic method

    Digital Repository Service at National Institute of Oceanography (India)

    Sarma, V.V.; Raju, G.R.K.

    A sensitive extraction spectrophotometric method has been developed based on the formation and extraction of Cu(II)-neocuproine-rosenbengal into chloroform. The molar extinction coefficient of the system is 55.500 and Beer's law is obeyed up to 15...

  1. A Block-Based Multi-Scale Background Extraction Algorithm

    Directory of Open Access Journals (Sweden)

    Seyed H. Davarpanah

    2010-01-01

    Full Text Available Problem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on accuracy of the extracted background image. It should be able to adapt to the changes continuously. In addition, especially in real-time applications the time complexity of this adaptation is a critical matter. Approach: In this study, to extract an adaptive background, a combination of blocking and multi-scale methods is presented. Because of being less sensitive to local movements, block-based techniques are proper to control the non-stationary objects’ movements, especially in outdoor applications. They can be useful to reduce the effect of these objects on the extracted background. We also used the blocking method to intelligently select the regions which the temporal filtering has to be applied on. In addition, an amended multi-scale algorithm is introduced. This algorithm is a hybrid algorithm, a combination of some nonparametric and parametric filters. It uses a nonparametric filter in the spatial domain to initiate two primary backgrounds. In continue two adapted two-dimensional filters will be used to extract the final background. Results: The qualitative and quantitative results of our experiments certify not only the quality of the final extracted background is acceptable, but also its time consumption is approximately half in compare to the similar methods. Conclusion: Using Multi scaling filtering and applying the filters just to some selected nonoverlapped blocks reduce the time consumption of the extracting background algorithm.

  2. An adaptive morphological impulses extraction method and its application to fault diagnosis

    Institute of Scientific and Technical Information of China (English)

    He Wei; Jiang Zhinong; Gao Jinji; Wang Hui

    2010-01-01

    An adaptive morphological impulses extraction method (AMIE) for beating fault diagnosis is proposed.This method uses the morphological closing operation with a flat structuring element (SE) to extract impulsive features from vibration signals with strong background noise.To optimize the flat SE, firstly, a theoretical study is carried out to investigate the effects of the length of the flat SE.Then, based on the theoretical findings, an adaptive algorithm for the flat SE optimization is proposed.The AMIE method is tested by the simulated signal and bearing vibration signals.The test results show that this method is effective and robust in extracting impulsive features.

  3. 基于提升小波降噪与LMD的转子故障特征提取方法%A method of extracting rotor fault features based on lifting wavelet denoising and LMD

    Institute of Scientific and Technical Information of China (English)

    陈勇; 孙虎儿; 王志武; 苏飞

    2013-01-01

    笔者提出了一种基于提升小波降噪与局域均值分解(Local Mean Decom position,LMD)的转子故障特征提取方法.LMD在分析非线性、非平稳信号方面效果较好,但是对噪声较敏感.为了消除噪声对LMD分解效果的影响,先用提升小波对原始信号降噪,然后对去噪信号进行LMD分解,选取有用的PF分量进行频谱分析,并提取出转子故障特征.通过仿真试验和转子故障特征提取试验,证明了该方法在提取转子故障特征中的有效性能.%A method of extracting rotor fault features based on lifting wavelet denoising and local mean decomposition (LMD) was put forward.The LMD was good at analyzing the nonlinear and nonstationary signals,while sensitive to noises.In order to eliminate influence of noises on LMD decomposition effects,lifting wavelet was applied to denoise original signals,and then the denoised signals was decomposed by LMD.After that,effective PF components were selected to conduct spectral analysis,so as to extract the rotor fault features.The contrast between simulation with actual rotor fault feature extracting test showed the proposed method was effective in extraction of rotor fault features.

  4. Highly Effective DNA Extraction Method for Nuclear Short Tandem Repeat Testing of Skeletal Remains from Mass Graves

    Science.gov (United States)

    Davoren, Jon; Vanek, Daniel; Konjhodzić, Rijad; Crews, John; Huffine, Edwin; Parsons, Thomas J.

    2007-01-01

    Aim To quantitatively compare a silica extraction method with a commonly used phenol/chloroform extraction method for DNA analysis of specimens exhumed from mass graves. Methods DNA was extracted from twenty randomly chosen femur samples, using the International Commission on Missing Persons (ICMP) silica method, based on Qiagen Blood Maxi Kit, and compared with the DNA extracted by the standard phenol/chloroform-based method. The efficacy of extraction methods was compared by real time polymerase chain reaction (PCR) to measure DNA quantity and the presence of inhibitors and by amplification with the PowerPlex 16 (PP16) multiplex nuclear short tandem repeat (STR) kit. Results DNA quantification results showed that the silica-based method extracted on average 1.94 ng of DNA per gram of bone (range 0.25-9.58 ng/g), compared with only 0.68 ng/g by the organic method extracted (range 0.0016-4.4880 ng/g). Inhibition tests showed that there were on average significantly lower levels of PCR inhibitors in DNA isolated by the organic method. When amplified with PP16, all samples extracted by silica-based method produced 16 full loci profiles, while only 75% of the DNA extracts obtained by organic technique amplified 16 loci profiles. Conclusions The silica-based extraction method showed better results in nuclear STR typing from degraded bone samples than a commonly used phenol/chloroform method. PMID:17696302

  5. An Efficient Splicing and Rapid Extraction of Spatial Data Method Based on Global Subdivsion%基于剖分网格的空间数据高效拼接与快速提取方法

    Institute of Scientific and Technical Information of China (English)

    席福彪; 程承旗; 陈波

    2014-01-01

    现有海量空间数据拼接与提取的效率低,造成应急保障时效性较差。针对这一问题,提出了一种基于剖分网格的空间数据高效拼接与快速提取方法。核心思路是:以GeoSOT全球剖分网格为基础,依托空间数据剖分组织方法,实现大到整个数据集小到数据内部块的统一逻辑拼接与多尺度提取。实验证明:采用剖分组织模型,空间数据提取尺度更灵活、提取效率更高,能够大幅度提升空间数据应急保障的时效性。%For the problem of low extraction efficiency and poor timeliness of emergency support during massive spatial data, this paper proposes an efficient splicing rapid extraction method of spatial data based on subdivision grid. Relying on spatial data grid organizational structure, the multi-source spatial data with different specifications unified by GeoSOT grid organization, and internal area of remote sensing image blocked by logic GeoSOT grid, to enable the identification of data sets from multiple sources into the grid data of the block within a single unified logical index. Based on this uniform grid index, block can be directly and rapidly extracted. Tests show that:the GeoSOT data grids organizational structure not only overcomes the limit of spatial data repeat warehouse, but also extracts the scale of spatial data more flexible and efficiency, it improves the timeliness of emergency response.

  6. 基于改进人工蜂群算法的高光谱图像端元提取方法%An endmember extraction method for hyperspectral remote sensing imagery based on improved artificial bee colony algorithm

    Institute of Scientific and Technical Information of China (English)

    李冰; 孙辉; 孙宁; 王坤

    2015-01-01

    To solve the problem of endmember extraction for hyperspectral remote sensing imagery,a new endmember extraction method based on improved artificial bee colony algorithm is proposed. First,the weighted generated bee guided search strategy is used to balance the exploration and exploitation in ABC, and a new algorithm named IABC is proposed. Experiments are carried out on 8 benchmark functions,and the results show that the performance of the new algorithm is significantly improved. Then,the core idea and the main steps of the IABC-based extraction are introduced. The results show that the new algorithm has better applicability compared with ABC and conventional extraction algorithm in the simulation and real hyperspectral data.%针对高光谱图像中端元提取的问题,提出了一种基于改进人工蜂群算法的提取方法。首先,为平衡人工蜂群算法全局和局部搜索能力,研究了加权构造蜂引导的搜索策略,构造了改进人工蜂群算法。在8个基准测试函数中进行实验,验证了新算法的性能有明显提升。然后,介绍了基于IABC端元提取的核心思想与主要步骤,与ABC和常规提取算法在模拟和真实高光谱遥感数据中进行实验对比,结果表明了新算法具有更好的适用性。

  7. Highly efficient DNA extraction method from skeletal remains

    Directory of Open Access Journals (Sweden)

    Irena Zupanič Pajnič

    2011-03-01

    Full Text Available Background: This paper precisely describes the method of DNA extraction developed to acquire high quality DNA from the Second World War skeletal remains. The same method is also used for molecular genetic identification of unknown decomposed bodies in routine forensic casework where only bones and teeth are suitable for DNA typing. We analysed 109 bones and two teeth from WWII mass graves in Slovenia. Methods: We cleaned the bones and teeth, removed surface contaminants and ground the bones into powder, using liquid nitrogen . Prior to isolating the DNA in parallel using the BioRobot EZ1 (Qiagen, the powder was decalcified for three days. The nuclear DNA of the samples were quantified by real-time PCR method. We acquired autosomal genetic profiles and Y-chromosome haplotypes of the bones and teeth with PCR amplification of microsatellites, and mtDNA haplotypes 99. For the purpose of traceability in the event of contamination, we prepared elimination data bases including genetic profiles of the nuclear and mtDNA of all persons who have been in touch with the skeletal remains in any way. Results: We extracted up to 55 ng DNA/g of the teeth, up to 100 ng DNA/g of the femurs, up to 30 ng DNA/g of the tibias and up to 0.5 ng DNA/g of the humerus. The typing of autosomal and YSTR loci was successful in all of the teeth, in 98 % dekalof the femurs, and in 75 % to 81 % of the tibias and humerus. The typing of mtDNA was successful in all of the teeth, and in 96 % to 98 % of the bones. Conclusions: We managed to obtain nuclear DNA for successful STR typing from skeletal remains that were over 60 years old . The method of DNA extraction described here has proved to be highly efficient. We obtained 0.8 to 100 ng DNA/g of teeth or bones and complete genetic profiles of autosomal DNA, Y-STR haplotypes, and mtDNA haplotypes from only 0.5g bone and teeth samples.

  8. Approach to extracting hot topics based on network traffic content

    Institute of Scientific and Technical Information of China (English)

    Yadong ZHOU; Xiaohong GUAN; Qindong SUN; Wei LI; Jing TAO

    2009-01-01

    This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correlation of the popular words in traffic content and network flow characteristics as input for extracting popular topics on the Internet.Based on this,this article adapts a clustering algorithm to extract popular topics and gives formalized results.The test results show that this method has an accuracy of 16.7% in extracting popular topics on the Internet.Compared with web mining and topic detection and tracking (TDT),it can provide a more suitable data source for effective recovery of Internet public opinions.

  9. Comparing extraction buffers to identify optimal method to extract somatic coliphages from sewage sludges.

    Science.gov (United States)

    Murthi, Poornima; Praveen, Chandni; Jesudhasan, Palmy R; Pillai, Suresh D

    2012-08-01

    Somatic coliphages are present in high numbers in sewage sludge. Since they are conservative indicators of viruses during wastewater treatment processes, they are being used to evaluate the effectiveness of sludge treatment processes. However, efficient methods to extract them from sludge are lacking. The objective was to compare different virus extraction procedures and develop a method to extract coliphages from sewage sludge. Twelve different extraction buffers and procedures varying in composition, pH, and sonication were compared in their ability to recover indigenous phages from sludges. The 3% buffered beef extract (BBE) (pH 9.0), the 10% BBE (pH 9.0), and the 10% BBE (pH 7.0) with sonication were short-listed and their recovery efficiency was determined using coliphage-spiked samples. The highest recovery was 16% for the extraction that involved 10% BBE at pH 9.0. There is a need to develop methods to extract somatic phages from sludges for monitoring sludge treatment processes.

  10. Comparison of DNA extraction methods in analysis of salivary bacterial communities.

    Science.gov (United States)

    Lazarevic, Vladimir; Gaïa, Nadia; Girard, Myriam; François, Patrice; Schrenzel, Jacques

    2013-01-01

    Culture-independent high-throughput sequencing-based methods are widely used to study bacterial communities. Although these approaches are superior to traditional culture-based methods, they introduce bias at the experimental and bioinformatics levels. We assessed the diversity of the human salivary microbiome by pyrosequencing of the 16S rDNA V1-3 amplicons using metagenomic DNA extracted by two different protocols: a simple proteinase K digestion without a subsequent DNA clean-up step, and a bead-beating mechanical lysis protocol followed by column DNA purification. A high degree of congruence was found between the two extraction methods, most notably in regard to the microbial community composition. The results showed that for a given bioinformatics pipeline, all the taxa with an average proportion >0.12% in samples processed using one extraction method were also detected in samples extracted using the other method. The same taxa tended to be abundant and frequent for both extraction methods. The relative abundance of sequence reads assigned to the phyla Actinobacteria, Spirochaetes, TM7, Synergistetes, and Tenericutes was significantly higher in the mechanically-treated samples than in the enzymatically-treated samples, whereas the phylum Firmicutes showed the opposite pattern. No significant differences in diversity indices were found between the extraction methods, although the mechanical lysis method revealed higher operational taxonomic unit richness. Differences between the extraction procedures outweighed the variations due to the bioinformatics analysis pipelines used.

  11. Comparison of DNA extraction methods in analysis of salivary bacterial communities.

    Directory of Open Access Journals (Sweden)

    Vladimir Lazarevic

    Full Text Available Culture-independent high-throughput sequencing-based methods are widely used to study bacterial communities. Although these approaches are superior to traditional culture-based methods, they introduce bias at the experimental and bioinformatics levels. We assessed the diversity of the human salivary microbiome by pyrosequencing of the 16S rDNA V1-3 amplicons using metagenomic DNA extracted by two different protocols: a simple proteinase K digestion without a subsequent DNA clean-up step, and a bead-beating mechanical lysis protocol followed by column DNA purification. A high degree of congruence was found between the two extraction methods, most notably in regard to the microbial community composition. The results showed that for a given bioinformatics pipeline, all the taxa with an average proportion >0.12% in samples processed using one extraction method were also detected in samples extracted using the other method. The same taxa tended to be abundant and frequent for both extraction methods. The relative abundance of sequence reads assigned to the phyla Actinobacteria, Spirochaetes, TM7, Synergistetes, and Tenericutes was significantly higher in the mechanically-treated samples than in the enzymatically-treated samples, whereas the phylum Firmicutes showed the opposite pattern. No significant differences in diversity indices were found between the extraction methods, although the mechanical lysis method revealed higher operational taxonomic unit richness. Differences between the extraction procedures outweighed the variations due to the bioinformatics analysis pipelines used.

  12. Model-based Bayesian signal extraction algorithm for peripheral nerves

    Science.gov (United States)

    Eggers, Thomas E.; Dweiri, Yazan M.; McCallum, Grant A.; Durand, Dominique M.

    2017-10-01

    Objective. Multi-channel cuff electrodes have recently been investigated for extracting fascicular-level motor commands from mixed neural recordings. Such signals could provide volitional, intuitive control over a robotic prosthesis for amputee patients. Recent work has demonstrated success in extracting these signals in acute and chronic preparations using spatial filtering techniques. These extracted signals, however, had low signal-to-noise ratios and thus limited their utility to binary classification. In this work a new algorithm is proposed which combines previous source localization approaches to create a model based method which operates in real time. Approach. To validate this algorithm, a saline benchtop setup was created to allow the precise placement of artificial sources within a cuff and interference sources outside the cuff. The artificial source was taken from five seconds of chronic neural activity to replicate realistic recordings. The proposed algorithm, hybrid Bayesian signal extraction (HBSE), is then compared to previous algorithms, beamforming and a Bayesian spatial filtering method, on this test data. An example chronic neural recording is also analyzed with all three algorithms. Main results. The proposed algorithm improved the signal to noise and signal to interference ratio of extracted test signals two to three fold, as well as increased the correlation coefficient between the original and recovered signals by 10-20%. These improvements translated to the chronic recording example and increased the calculated bit rate between the recovered signals and the recorded motor activity. Significance. HBSE significantly outperforms previous algorithms in extracting realistic neural signals, even in the presence of external noise sources. These results demonstrate the feasibility of extracting dynamic motor signals from a multi-fascicled intact nerve trunk, which in turn could extract motor command signals from an amputee for the end goal of

  13. Watermark Detection and Extraction Using Independent Component Analysis Method

    Directory of Open Access Journals (Sweden)

    Yu Dan

    2002-01-01

    Full Text Available This paper proposes a new image watermarking technique, which adopts Independent Component Analysis (ICA for watermark detection and extraction process (i.e., dewatermarking. Watermark embedding is performed in the spatial domain of the original image. Watermark can be successfully detected during the Principle Component Analysis (PCA whitening stage. A nonlinear robust batch ICA algorithm, which is able to efficiently extract various temporally correlated sources from their observed linear mixtures, is used for blind watermark extraction. The evaluations illustrate the validity and good performance of the proposed watermark detection and extraction scheme based on ICA. The accuracy of watermark extraction depends on the statistical independence between the original, key and watermark images and the temporal correlation of these sources. Experimental results demonstrate that the proposed system is robust to several important image processing attacks, including some geometrical transformations—scaling, cropping and rotation, quantization, additive noise, low pass filtering, multiple marks, and collusion.

  14. Study of hydroxymethylfurfural and furfural formation in cakes during baking in different ovens, using a validated multiple-stage extraction-based analytical method.

    Science.gov (United States)

    Petisca, Catarina; Henriques, Ana Rita; Pérez-Palacios, Trinidad; Pinho, Olívia; Ferreira, Isabel M P L V O

    2013-12-15

    A procedure for extraction of hydroxymethylfurfural (HMF) and furfural from cakes was validated. Higher yield was achieved by multiple step extraction with water/methanol (70/30) and clarification with Carrez I and II reagents. Oven type and baking time strongly influenced HMF, moisture and volatile profile of model cakes, whereas furfural content was not significantly affected. No correlation was found between these parameters. Baking time influenced moisture and HMF formation in cakes from traditional and microwave ovens but not in steam oven cakes. Significant moisture decrease and HMF increase (3.63, 9.32, and 41.9 mg kg(-1)dw at 20, 40 and 60 min, respectively) were observed during traditional baking. Cakes baked by microwave also presented a significant increase of HMF (up to 16.84 mg kg(-1)dw at 2.5 min). Steam oven cakes possessed the highest moisture content and no significant differences in HMF and furfural. This oven is likely to form low HMF and furfural, maintaining cake moisture and aroma compounds.

  15. Increasing DNA extraction yield from saliva stains with a modified Chelex method.

    Science.gov (United States)

    Sweet, D; Lorente, M; Valenzuela, A; Lorente, J A; Alvarez, J C

    1996-12-27

    Recovery, preservation and analysis of body fluid stains is an important aspect of forensic science. PCR-based typing of DNA extracted from recovered stains is often a crucial method to identify a perpetrator or exclude an innocent suspect. This paper reports an improved method of extracting genomic DNA from saliva stains deposited on human skin in simulated bite mark situations. Results of organic (phenol-chloroform) extraction and Chelex extraction were compared to a modified Chelex method developed by the authors. Modifications include pre-extraction preparation with proteinase K and incubations at 56 degrees C and 100 degrees C plus microconcentration of the solution. Quantification results using the classical Chelex extraction method showed that 31.9 +/- 4.22% of the deposited DNA was recovered, but using the modified Chelex extraction method DNA recovery was increased to 47.7 +/- 6.90%. The quantity and quality of extracted DNA was shown to be adequate for PCR-based typing at two STR loci.

  16. Methods of analysis by the U. S. Geological Survey National Water Quality Laboratory; determination of pesticides in water by graphitized carbon-based solid-phase extraction and high-performance liquid chromatography/mass spectrometry

    Science.gov (United States)

    Furlong, Edward T.; Anderson, Bruce D.; Werner, Stephen L.; Soliven, Paul P.; Coffey, Laura J.; Burkhardt, Mark R.

    2001-01-01

    In 1996, the U.S. Geological Survey National Water Quality Laboratory (NWQL) developed and implemented a graphitized carbon-based solid-phase extraction and high-performance liquid chromatographic analytical method to determine polar pesticide concentrations in surface- and ground-water samples. Subsequently, the NWQL developed a complementary analysis that uses high-performance liquid chromatography/mass spectrometry to detect, identify, and quantify polar pesticides and pesticide metabolites in filtered water at concentrations as low as 10 nanograms per liter. This new method was designed to improve sensitivity and selectivity over the prior method, and to reduce known interferences from natural organic matter. In this new method, pesticides are extracted from filtered water samples by useing a 0.5-gram graphitized carbon-based solid-phase extraction cartridge, eluted from the cartridge, and concentrations determined by using high-perforance liquid chromatography with elecrospray ionization-mass spectrometry. The upper concentratoin limit is 1.000 microgram per liter (ug/L) for most compounds. Single-operator method detection limits in organic-free water samples fortified with pesticdes at a concentration of 0.025 ug/L ranged from 0.0019 to 0.022 ug/L for all compunds in the method. The grand mean (mean of mean recoveries for individual compounds) recoveries in organic-free water samples ranged from 72 to 89 percent, fortified wit hpesticides at three concentrations between 0.025 and 0.5 ug/L. Grand mean recoveries in ground- and surface-water samples ranged from 46 to 119 percent, also fortified with pesticies at three concentrations between 0.025 and 0.5 ug/L. Long-term recoveries from reagent water spikes were used to demonstrate that 38 of 65 compounds can be reported without qualification of the quantitative result across the analytical range of the method. The remaining 27 are reported with qualified estimates of concentration because of greater variability

  17. Assessment of the quality and quantity of genomic DNA recovered from canine blood samples by three different extraction methods.

    Science.gov (United States)

    Clements, Dylan N; Wood, Shona; Carter, Stuart D; Ollier, William E R

    2008-08-01

    The ideal method for genomic DNA (gDNA) extraction should recover high quantities of pure, integral gDNA from the original sample source with minimal co-extraction of inhibitors of downstream processes. Canine ethylenediamine tetra-acetic acid (EDTA) treated and clotted blood samples were extracted by three different methods (a silica column method, a phenol-chloroform method and a modified salt precipitation method). Phenol-chloroform and modified salt precipitation based extractions demonstrated similar relative recovery of gDNA with EDTA preserved blood, but were less efficient at recovering gDNA from clotted blood. Spectrophotometer measurement of phenol-chloroform based extractions tended to overestimate the quantity of gDNA recovered from extractions, and was associated with the greater co-extraction of PCR inhibitors. The silica column method recovered gDNA with equal efficiency, purity and integrity irrespective of the sample type or method of quantification.

  18. Rapid method for the determination of 16 organochlorine pesticides in sesame seeds by microwave-assisted extraction and analysis of extracts by gas chromatography-mass spectrometry.

    Science.gov (United States)

    Papadakis, Emmanouil N; Vryzas, Zisis; Papadopoulou-Mourkidou, Euphemia

    2006-09-15

    A method for the multiresidue analysis of 16 organochlorine insecticides in sesame seeds has been developed. The method is based on the microwave-assisted extraction (MAE) of the sesame seeds by the use of a water-acetonitrile mixture followed by Florisil clean-up of the extracts and subsequent analysis by gas chromatography-mass spectrometry (GC/MS) in the selected ion monitoring (SIM) mode. MAE operational parameters (extraction solvent, temperature and time, extractant volume) were optimized with respect to extraction efficiency of the target compounds from sesame seeds with 46% oil content. Recoveries >80% with relative standard deviations (RSD) seed samples imported to Greece.

  19. 基于迭代法及腐蚀算法的超声相控阵缺陷提取%The defect extraction of ultrasonic phased array image based on iterative method and erosion algorithm

    Institute of Scientific and Technical Information of China (English)

    胡宏伟; 王泽湘; 王哲; 王向红; 杜剑

    2015-01-01

    To solve the problem of defect extraction because of noise interference and low instrument precision dur-ing ultrasonic phased array testing, a new defect extraction algorithm combining iterative method with erosion algo-rithm for ultrasonic phased array B-scan image was proposed.Based on the ultrasonic phased array B-scan images of a rim block with side through holes, combining the iterative method with the erosion algorithm, the ultrasonic phased array image defect extraction and quantitative method were studied, which were compared with the conven-tional iterative method, Otsu method and Bernsen method.The influences of the aperture size on defects character-istics during phased array inspection were discussed, including the extracted defect area, the perimeter, the sizes of the long axis and the short axis.The results show that the defect feature value extracted relative error is less than 12% by using this method when the aperture size is greater than 20 .This method is beneficial to improving ultra-sonic phased array inspection imaging quality and increasing the accuracy of defect feature extraction.%为解决超声相控阵检测时噪声干扰及仪器精度造成的缺陷提取困难等问题,提出了一种基于迭代法及腐蚀算法的超声相控阵B扫图像缺陷提取方法。以轮辋试块侧通孔的超声相控阵B扫图像为对象,结合迭代法与腐蚀算法,研究了超声相控阵图像缺陷提取及量化方法,并与传统迭代法、Otsu法、Bernsen法进行对比,且讨论了相控阵检测时检测孔径对提取的缺陷特征值精度的影响。结果显示孔径大于20时,采用迭代法与腐蚀算法相结合提取的缺陷特征值相对误差均小于12%,且远小于采用传统迭代法、Otsu法、Bernsen法提取的相对误差。随着检测孔径增大,检测精度提高,但提高的速度在减缓。研究结果对改善超声相控阵检测成像质量,提高缺陷特征提取及量化精度提供了参考。

  20. Fourier transform profilometry based on mean envelope extraction

    Science.gov (United States)

    Zhang, Xiaoxuan; Huang, Shujun; Gao, Nan; Zhang, Zonghua

    2017-02-01

    Based on an image pre-processing algorithm, a three-dimensional (3D) object measurement method is proposed by combining time domain and frequency domain analysis. Firstly, extreme points of sinusoidal fringes under the disturbance of noise are accurately extracted. Secondly, mean envelope of the fringe is obtained through appropriate interpolation method and then removed. Thirdly, phase information is extracted by using specific filtering in Fourier spectrum of the pre-processed fringe pattern. Finally, simulated and experimental results show a good property of the proposed method in accuracy and measurement range. The proposed method can achieve 3D shape of objects having large slopes and/or discontinuous surfaces from one-shot acquisition by using color fringe projection technique and will have wide applications in the fields of fast measurement.

  1. A Novel Method of Genomic DNA Extraction for Cactaceae

    OpenAIRE

    Fehlberg, Shannon D.; Jessica M. Allen; Kathleen Church

    2013-01-01

    • Premise of the study: Genetic studies of Cactaceae can at times be impeded by difficult sampling logistics and/or high mucilage content in tissues. Simplifying sampling and DNA isolation through the use of cactus spines has not previously been investigated. • Methods and Results: Several protocols for extracting DNA from spines were tested and modified to maximize yield, amplification, and sequencing. Sampling of and extraction from spines resulted in a simplified protocol overall and compl...

  2. Extraction of handwritten areas from colored image of bank checks by an hybrid method

    CERN Document Server

    Haboubi, Sofiene

    2011-01-01

    One of the first step in the realization of an automatic system of check recognition is the extraction of the handwritten area. We propose in this paper an hybrid method to extract these areas. This method is based on digit recognition by Fourier descriptors and different steps of colored image processing . It requires the bank recognition of its code which is located in the check marking band as well as the handwritten color recognition by the method of difference of histograms. The areas extraction is then carried out by the use of some mathematical morphology tools.

  3. An effective placental cotyledons proteins extraction method for 2D gel electrophoresis.

    Science.gov (United States)

    Tan, Niu J; Daim, Leona D J; Jamil, Amilia A M; Mohtarrudin, Norhafizah; Thilakavathy, Karuppiah

    2017-03-01

    Effective protein extraction is essential especially in producing a well-resolved proteome on 2D gels. A well-resolved placental cotyledon proteome, with good reproducibility, have allowed researchers to study the proteins underlying the physiology and pathophysiology of pregnancy. The aim of this study is to determine the best protein extraction protocol for the extraction of protein from placental cotyledons tissues for a two-dimensional gel electrophoresis (2D-GE). Based on widely used protein extraction strategies, 12 different extraction methodologies were carefully selected, which included one chemical extraction, two mechanical extraction coupled protein precipitations, and nine chemical extraction coupled protein precipitations. Extracted proteins were resolved in a one-dimensional gel electrophoresis and 2D-GE; then, it was compared with set criteria: extraction efficacy, protein resolution, reproducibility, and recovery efficiency. Our results revealed that a better profile was obtained by chemical extraction in comparison to mechanical extraction. We further compared chemical extraction coupled protein precipitation methodologies, where the DNase/lithium chloride-dense sucrose homogenization coupled dichloromethane-methanol precipitation (DNase/LiCl-DSH-D/MPE) method showed good protein extraction efficiency. This, however, was carried out with the best protein resolution and proteome reproducibility on 2D-gels. DNase/LiCl-DSH-D/MPE was efficient in the extraction of proteins from placental cotyledons tissues. In addition, this methodology could hypothetically allow the protein extraction of any tissue that contains highly abundant lipid and glycogen. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. A simplified method for extracting androgens from avian egg yolks

    Science.gov (United States)

    Kozlowski, C.P.; Bauman, J.E.; Hahn, D.C.

    2009-01-01

    Female birds deposit significant amounts of steroid hormones into the yolks of their eggs. Studies have demonstrated that these hormones, particularly androgens, affect nestling growth and development. In order to measure androgen concentrations in avian egg yolks, most authors follow the extraction methods outlined by Schwabl (1993. Proc. Nat. Acad. Sci. USA 90:11446-11450). We describe a simplified method for extracting androgens from avian egg yolks. Our method, which has been validated through recovery and linearity experiments, consists of a single ethanol precipitation that produces substantially higher recoveries than those reported by Schwabl.

  5. Mechanism of gold solvent extraction from aurocyanide solution by quaternary amines: models of extracting species based on hydrogen bonding

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The mechanism of gold solvent extraction from KAu(CN)2 solution was investigated by means of FTIR, EXAFS, ICP and radioactive tracer methods. Two extraction systems were studied, namely N263-tributyl phosphate(TBP)-n-dodecane and N263-iso-octanol-n-dodecane. High-reso- lution FT IR spectroscopy indicated that the CN stretching vibrations of the two extraction systems differred greatly. In order to interpret the significant difference in CN stretching vibrations, two extracting species models are proposed supramolecular structures based on the formation of hydrogen bonds between Au(CN)2- and modifiers such as TBP and iso-octanol.

  6. 融合用户兴趣模型与会话抽取的微博推荐方法%Microblog recommendation method based on user interest model and conversation extraction scheme

    Institute of Scientific and Technical Information of China (English)

    马慧芳; 姚伟; 贾美惠子; 崔彤

    2015-01-01

    Aiming at the deficiency of conventional recommendation method in short text message processing,this paper pro-posed a microblog recommendation method based on user interest model and conversation extraction.First,it applied a Ncut_weighted non-negative matrix factorization (Ncut_weighted NMF)to obtain user-interest matrix.And then used Single-Pass clustering based on frequency and correlation for conversation extraction to obtain microblog conversation.Experiments show that this method can effectively cluster micro-blogs and support micro-blog recommendation.%针对传统推荐方法在短文本处理方面的不足,提出一种基于用户兴趣模型与会话抽取算法的微博推荐方法。该方法应用基于归一化割加权NMF的微博用户兴趣模型获取用户—主题矩阵,产生用户感兴趣的微博主题,结合基于Single-Pass 聚类模型的会话在线抽取算法SPFC(single-pass based on frequency and correlation)获取微博的会话队列,并与用户感兴趣的微博主题进行相似度计算,最后得到实时的微博推荐结果。实验表明,此方法能有效地进行微博推荐。

  7. Microbial protein in soil: influence of extraction method and C amendment on extraction and recovery.

    Science.gov (United States)

    Taylor, Erin B; Williams, Mark A

    2010-02-01

    The capacity to study the content and resolve the dynamics of the proteome of diverse microbial communities would help to revolutionize the way microbiologists study the function and activity of microorganisms in soil. To better understand the limitations of a proteomic approach to studying soil microbial communities, we characterized extractable soil microbial proteins using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Two methods were utilized to extract proteins from microorganisms residing in a Quitman and Benfield soil: (1) direct extraction of bulk protein from soil and (2) separation of the microorganisms from soil using density gradient centrifugation and subsequent extraction (DGC-EXT) of microbial protein. In addition, glucose and toluene amendments to soil were used to stimulate the growth of a subset of the microbial community. A bacterial culture and bovine serum albumin (BSA) were added to the soil to qualitatively assess their recovery following extraction. Direct extraction and resolution of microbial proteins using SDS-PAGE generally resulted in smeared and unresolved banding patterns on gels. DGC-EXT of microbial protein from soil followed by separation using SDS-PAGE, however, did resolve six to 10 bands in the Benfield but not the Quitman soil. DGC-EXT of microbial protein, but not direct extraction following the addition of glucose and toluene, markedly increased the number of bands (approximately 40) on the gels in both Benfield and Quitman soils. Low recoveries of added culture and BSA proteins using the direct extraction method suggest that proteins either bind to soil organic matter and mineral particles or that partial degradation takes place during extraction. Interestingly, DGC may have been preferentially selected for actively growing cells, as gauged by the 10-100x lower cy19:0/18:1omega7 ratio of the fatty acid methyl esters in the isolated community compared to that for the whole soil. DGC can be used to

  8. 一种基于百度百科的中文网络文本关键词抽取方法%Keywords Extraction Method for Chinese Web Text Based on BaiduBaike

    Institute of Scientific and Technical Information of China (English)

    陈叶旺

    2014-01-01

    Based on words counting,the traditional keywords extraction methods are not able to work well on Chinese texts in the web,because many of these texts are spares and nonstandard.BaiduBaike is a rich and dynamic Chinese Encyclopedia which is closely related to hot spots and web popular.In this paper,we propose a new keywords extraction method for Chinese web text,which is based on BaiduBaike.In our method,the rich knowledge in BaiduBaike is used to map text into semantic topics from a set of Chinese words,and then the relationship among semantic topics is adopted to adapt the topics' weight in the text.At last the keywords of the text are extracted according to Na(i)ve Bayes.This method avoids counting Chinese words,and can resolve web words and novel words to a great extent.Experiments on two datasets have demonstrated that our method can get good and stable result.%网络上存在海量的中文文本资源,其中有许多具有稀疏性与不规范性,这令以统计词组方式来抽取文本关键词的方法表现不佳.基于百度百科本文提出一种中文网络文本关键词抽取方法,通过百科知识关系将文本从外延词条集合映射到能体现其内涵的语义主题空间中,再利用主题间的关系进行权值调整,最后通过Na(i)ve Bayes法回溯并找到原文的关键词.该方法有效地避开穷举词条的统计方式,能在很大程度上解决现有文本挖掘方法无法抽取网络词汇和新生词汇这一难题.在两个数据集上的实验表明,该方法在规范的文本和不规范文本上都有着较好且稳定的表现.

  9. NEW METHOD OF EXTRACTING WEAK FAILURE INFORMATION IN GEARBOX BY COMPLEX WAVELET DENOISING

    Institute of Scientific and Technical Information of China (English)

    CHEN Zhixin; XU Jinwu; YANG Debin

    2008-01-01

    Because the extract of the weak failure information is always the difficulty and focus of fault detection. Aiming for specific statistical properties of complex wavelet coefficients of gearbox vibration signals, a new signal-denoising method which uses local adaptive algorithm based on dual-tree complex wavelet transform (DT-CWT) is introduced to extract weak failure information in gear, especially to extract impulse components. By taking into account the non-Gaussian probability distribution and the statistical dependencies among wavelet coefficients of some signals, and by taking the advantage of near shift-invariance of DT-CWT, the higher signal-to-noise ratio (SNR) than common wavelet denoising methods can be obtained. Experiments of extracting periodic impulses in gearbox vibration signals indicate that the method can extract incipient fault feature and hidden information from heavy noise, and it has an excellent effect on identifying weak feature signals in gearbox vibration signals.

  10. 基于灰度共生矩阵的纹理提取方法研究%STUDY ON GLCM-BASED TEXTURE EXTRACTION METHODS

    Institute of Scientific and Technical Information of China (English)

    任国贞; 江涛

    2014-01-01

    With the enhancement of spatial resolution of remote sensing image, texture features play increasingly important role in remote sensing image.In the paper we study nine texture descriptors including gray level co-occurrence matrix ( GLCM) homogeneity, contrast, dissimilarity, angular second moment (asm), correlation, entropy, and gray level difference vector (GLDV) contrast, mean, angular second moment, etc., and find that both GLCM-asm and GLDV-asm are the more effective ways for texture extraction of the high resolution remote sensing image.%随着遥感影像空间分辨率的提高,纹理特征在遥感影像中的作用越来越重要。对灰度共生矩阵的GLCM (灰度共生矩阵)同质性、GLCM对比度、GLCM相异性、GLCM角二阶距、GLCM相关性、GLCM熵、GLDV(归一化灰度)反差、GLDV均值、GLDV角二阶矩等九种纹理描述子进行研究,发现采用GLCM角二阶矩、GLDV角二阶矩这两种纹理描述子对高分辨率遥感影像的纹理提取具有较好效果。

  11. Development and validation of an inexpensive and efficient method for the extraction of Theileria orientalis DNA from blood.

    Science.gov (United States)

    Bogema, D R; Fell, S A; O'Rourke, B A; Collins, D; Eamens, G J; Jenkins, C

    2015-09-15

    Theileria orientalis is an emerging bovine pathogen in Australasia. PCR-based detection methods for this parasite are sensitive but relatively expensive, partly due to costs associated with DNA extraction. An inexpensive and efficient technique was developed for the extraction of T. orientalis DNA from blood based on hypotonic erythrocyte lysis and detergent-proteinase K treatment (DPK method). The DPK method compares favourably to a commercial extraction kit when paired with a T. orientalis multiplex qPCR.

  12. BMAA extraction of cyanobacteria samples: which method to choose?

    Science.gov (United States)

    Lage, Sandra; Burian, Alfred; Rasmussen, Ulla; Costa, Pedro Reis; Annadotter, Heléne; Godhe, Anna; Rydberg, Sara

    2016-01-01

    β-N-Methylamino-L-alanine (BMAA), a neurotoxin reportedly produced by cyanobacteria, diatoms and dinoflagellates, is proposed to be linked to the development of neurological diseases. BMAA has been found in aquatic and terrestrial ecosystems worldwide, both in its phytoplankton producers and in several invertebrate and vertebrate organisms that bioaccumulate it. LC-MS/MS is the most frequently used analytical technique in BMAA research due to its high selectivity, though consensus is lacking as to the best extraction method to apply. This study accordingly surveys the efficiency of three extraction methods regularly used in BMAA research to extract BMAA from cyanobacteria samples. The results obtained provide insights into possible reasons for the BMAA concentration discrepancies in previous publications. In addition and according to the method validation guidelines for analysing cyanotoxins, the TCA protein precipitation method, followed by AQC derivatization and LC-MS/MS analysis, is now validated for extracting protein-bound (after protein hydrolysis) and free BMAA from cyanobacteria matrix. BMAA biological variability was also tested through the extraction of diatom and cyanobacteria species, revealing a high variance in BMAA levels (0.0080-2.5797 μg g(-1) DW).

  13. 高维数据挖掘中基于中位数回归的特征提取新方法%New feature extraction method in high-dimensional data mining based on median regression

    Institute of Scientific and Technical Information of China (English)

    李泽安; 陈建平; 赵为华

    2013-01-01

    为降低噪声对数据特征提取(变量选择)效果的不利影响,基于中位数回归分析方法,利用变量选择降维技术(正则化估计),提出了一种稳健、有效的特征提取(变量选择)新方法,并具体给出了估计算法,该算法具有快速计算的特点.实验结果表明,新方法能够有效地对高维数据集进行估计和变量选择,且具有较高的准确性,即使数据中的信噪比很低时,该方法仍具有较好的效果.因此,该方法为高维数据挖掘特征提取提供了稳健且有效的方法.%In order to reduce the unfavorable influence of nosie existing to the feature extraction(variable selection) , this paper proposed a robust and effictive method based on median regression and dimensional reduction technique of variable selection (regularized estimation). Moreover, it gave the detail of algorithm which possessed the advantage of fast computation. Simulations show that the new method can effictively estimate and select important variables with high correctness. Even in the case of very low signal to noise ratio, this method still has good result compared with other method. It is really an efficient and robust feature extraction method for high-dimensional data mining.

  14. [DNA extraction methods of compost for molecular ecology analysis].

    Science.gov (United States)

    Yang, Zhao-Hui; Xiao, Yong; Zeng, Guang-Ming; Liu, Yun-Guo; Deng, Jiu-Hua

    2006-08-01

    Molecular ecology provides new techniques for studying compost microbes, and the DNA extraction is the basis of molecular techniques. Because of the contamination of humic acids, it turns to be more difficult for compost microbial DNA extraction. Three different approaches, named as lysozyme lysis, ultrasonic lysis and proteinase K lysis with CTAB, were used to extract the total DNA from compost. The detection performed on a nucleic acids and protein analyzer showed that all the three approaches produced high DNA yields. The agarose gel electrophoresis showed that the DNA fragments extracted from compost had a length of about 23 kb. A eubacterial 16S rRNA gene targeted primer pair (27F and 1 495R) was used for PCR amplification, and all the samples got almost the full length 16S rDNA sequence (about 1.5 kb). After digested by restriction endonucleases (Hae Ill and Alu I), the restriction map showed relatively identical microbial diversity in the DNA, which was extracted by the three different approaches. All the compost microbial DNA extracted by the three different approaches could be used for molecular ecological study, and researchers should choose the right approach for extracting microbial DNA from compost based on the facts.

  15. METHOD TO EXTRACT BLEND SURFACE FEATURE IN REVERSE ENGINEERING

    Institute of Scientific and Technical Information of China (English)

    Lü Zhen; Ke Yinglin; Sun Qing; Kelvin W; Huang Xiaoping

    2003-01-01

    A new method of extraction of blend surface feature is presented. It contains two steps: segmentation and recovery of parametric representation of the blend. The segmentation separates the points in the blend region from the rest of the input point cloud with the processes of sampling point data, estimation of local surface curvature properties and comparison of maximum curvature values. The recovery of parametric representation generates a set of profile curves by marching throughout the blend and fitting cylinders. Compared with the existing approaches of blend surface feature extraction, the proposed method reduces the requirement of user interaction and is capable of extracting blend surface with either constant radius or variable radius. Application examples are presented to verify the proposed method.

  16. Extraction method for parasitic capacitances and inductances of HEMT models

    Science.gov (United States)

    Zhang, HengShuang; Ma, PeiJun; Lu, Yang; Zhao, BoChao; Zheng, JiaXin; Ma, XiaoHua; Hao, Yue

    2017-03-01

    A new method to extract parasitic capacitances and inductances for high electron-mobility transistors (HEMTs) is proposed in this paper. Compared with the conventional extraction method, the depletion layer is modeled as a physically significant capacitance model and the extrinsic values obtained are much closer to the actual results. In order to simulate the high frequency behaviour with higher precision, series parasitic inductances are introduced into the cold pinch-off model which is used to extract capacitances at low frequency and the reactive elements can be determined simultaneously over the measured frequency range. The values obtained by this method can be used to establish a 16-elements small-signal equivalent circuit model under different bias conditions. The results show good agreements between the simulated and measured scattering parameters up to 30 GHz.

  17. Underground Pipeline Extraction Method in Ground-Penetrating Radar Images Based on the Generalized Hough Transform%基于广义Hough变换的探地雷达图像地下管线提取方法

    Institute of Scientific and Technical Information of China (English)

    孙伟; 郭海涛; 徐青; 谢耕

    2013-01-01

    To extract underground pipeline from Ground Penetrating Radar (GPR) images,a method was proposed by applying generalized Hough transform algorithm.According to the image features that the underground pipelines are the hyperbolic and have the certain width in pairs in image,the image is pretreated at first,and then the omnidirectional tracking method is used in edge tracking.Based on the hyperbolic feature model,the iterative calculation is carried out using the linear equations,and the description parameters of the hyperbola are determined.Then,the hyperbola in image is extracted.Experimental results indicated that the proposed approach was effective in extracting the underground pipeline and had robustness with varies conditions.%针对探地雷达图像中自动提取地下管线的问题,提出了一种基于广义Hough变换的地下管线提取算法.根据地下管线在图像上呈现双曲线且具有一定宽度和成对出现的图像特征,首先对图像进行预处理,接着采用全向跟踪法进行边缘跟踪;然后利用双曲线方程线性化后的结果进行投票计算,确定出一对双曲线的描述参数,从而提取出图像中的地下管线特征.实验结果验证了该算法对地下管线提取的有效性.

  18. Spectrophotometric validation of assay method for selected medicinal plant extracts

    Directory of Open Access Journals (Sweden)

    Matthew Arhewoh

    2014-09-01

    Full Text Available Objective: To develop UV spectrophotometric assay validation methods for some selected medicinal plant extracts.Methods: Dried, powdered leaves of Annona muricata (AM and Andrographis paniculata (AP as well as seeds of Garcinia kola (GK and Hunteria umbellata (HU were separately subjected to maceration using distilled water. Different concentrations of the extracts were scanned spectrophotometrically to obtain wavelengths of maximum absorbance. The different extracts were then subjected to validation studies following international guidelines at the respective wavelengths obtained.Results: The results showed linearity at peak wavelengths of maximum absorbance of 292, 280, 274 and 230 nm for GK, HU, AM and AP, respectively. The calibration curves for the different concentrations of the extract gave R2 values ranging from 0.9831 for AM to 0.9996 for AP the inter-day and intra-day precision study showed that the relative standard deviation (% was ≤ 10% for all the extracts.Conclusion: The aqueous extracts and isolates of these plants can be assayed and monitored using these wavelengths.

  19. Influence of Extraction Methods on the Yield of Steviol Glycosides and Antioxidants in Stevia rebaudiana Extracts.

    Science.gov (United States)

    Periche, Angela; Castelló, Maria Luisa; Heredia, Ana; Escriche, Isabel

    2015-06-01

    This study evaluated the application of ultrasound techniques and microwave energy, compared to conventional extraction methods (high temperatures at atmospheric pressure), for the solid-liquid extraction of steviol glycosides (sweeteners) and antioxidants (total phenols, flavonoids and antioxidant capacity) from dehydrated Stevia leaves. Different temperatures (from 50 to 100 °C), times (from 1 to 40 min) and microwave powers (1.98 and 3.30 W/g extract) were used. There was a great difference in the resulting yields according to the treatments applied. Steviol glycosides and antioxidants were negatively correlated; therefore, there is no single treatment suitable for obtaining the highest yield in both groups of compounds simultaneously. The greatest yield of steviol glycosides was obtained with microwave energy (3.30 W/g extract, 2 min), whereas, the conventional method (90 °C, 1 min) was the most suitable for antioxidant extraction. Consequently, the best process depends on the subsequent use (sweetener or antioxidant) of the aqueous extract of Stevia leaves.

  20. A Novel Method of Genomic DNA Extraction for Cactaceae

    Directory of Open Access Journals (Sweden)

    Shannon D. Fehlberg

    2013-03-01

    Full Text Available Premise of the study: Genetic studies of Cactaceae can at times be impeded by difficult sampling logistics and/or high mucilage content in tissues. Simplifying sampling and DNA isolation through the use of cactus spines has not previously been investigated. Methods and Results: Several protocols for extracting DNA from spines were tested and modified to maximize yield, amplification, and sequencing. Sampling of and extraction from spines resulted in a simplified protocol overall and complete avoidance of mucilage as compared to typical tissue extractions. Sequences from one nuclear and three plastid regions were obtained across eight genera and 20 species of cacti using DNA extracted from spines. Conclusions: Genomic DNA useful for amplification and sequencing can be obtained from cactus spines. The protocols described here are valuable for any cactus species, but are particularly useful for investigators interested in sampling living collections, extensive field sampling, and/or conservation genetic studies.

  1. A novel method of genomic DNA extraction for Cactaceae1

    Science.gov (United States)

    Fehlberg, Shannon D.; Allen, Jessica M.; Church, Kathleen

    2013-01-01

    • Premise of the study: Genetic studies of Cactaceae can at times be impeded by difficult sampling logistics and/or high mucilage content in tissues. Simplifying sampling and DNA isolation through the use of cactus spines has not previously been investigated. • Methods and Results: Several protocols for extracting DNA from spines were tested and modified to maximize yield, amplification, and sequencing. Sampling of and extraction from spines resulted in a simplified protocol overall and complete avoidance of mucilage as compared to typical tissue extractions. Sequences from one nuclear and three plastid regions were obtained across eight genera and 20 species of cacti using DNA extracted from spines. • Conclusions: Genomic DNA useful for amplification and sequencing can be obtained from cactus spines. The protocols described here are valuable for any cactus species, but are particularly useful for investigators interested in sampling living collections, extensive field sampling, and/or conservation genetic studies. PMID:25202521

  2. SPEECH/MUSIC CLASSIFICATION USING WAVELET BASED FEATURE EXTRACTION TECHNIQUES

    Directory of Open Access Journals (Sweden)

    Thiruvengatanadhan Ramalingam

    2014-01-01

    Full Text Available Audio classification serves as the fundamental step towards the rapid growth in audio data volume. Due to the increasing size of the multimedia sources speech and music classification is one of the most important issues for multimedia information retrieval. In this work a speech/music discrimination system is developed which utilizes the Discrete Wavelet Transform (DWT as the acoustic feature. Multi resolution analysis is the most significant statistical way to extract the features from the input signal and in this study, a method is deployed to model the extracted wavelet feature. Support Vector Machines (SVM are based on the principle of structural risk minimization. SVM is applied to classify audio into their classes namely speech and music, by learning from training data. Then the proposed method extends the application of Gaussian Mixture Models (GMM to estimate the probability density function using maximum likelihood decision methods. The system shows significant results with an accuracy of 94.5%.

  3. Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning

    Directory of Open Access Journals (Sweden)

    Wenhua Shao

    2016-01-01

    Full Text Available Smartphone based indoor positioning has greatly helped people in finding their positions in complex and unfamiliar buildings. One popular positioning method is by utilizing indoor magnetic field, because this feature is stable and infrastructure-free. In this method, the magnetometer embedded on the smartphone measures indoor magnetic field and queries its position. However, the environments of the magnetometer are rather harsh. This harshness mainly consists of coarse-grained hard/soft-iron calibrations and sensor electronic noise. The two kinds of interferences decrease the position distinguishability of the magnetic field. Therefore, it is important to extract location features from magnetic fields to reduce these interferences. This paper analyzes the main interference sources of the magnetometer embedded on the smartphone. In addition, we present a feature distinguishability measurement technique to evaluate the performance of different feature extraction methods. Experiments revealed that selected fingerprints will improve position distinguishability.

  4. Evaluating a Pivot-Based Approach for Bilingual Lexicon Extraction

    Directory of Open Access Journals (Sweden)

    Jae-Hoon Kim

    2015-01-01

    Full Text Available A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evaluate the approach in company with two different methods for estimating context vectors: one estimates them from two parallel corpora based on word association between source words (resp., target words and pivot words and the other estimates them from two parallel corpora based on word alignment tools for statistical machine translation. Empirical results on two language pairs (e.g., Korean-Spanish and Korean-French have shown that the pivot-based approach is very promising for resource-poor languages and this approach observes its validity and usability. Furthermore, for words with low frequency, our method is also well performed.

  5. Optimization of the Phenol -Chloroform Silica DNA Extraction Method in Ancient Bones DNA Extraction

    Directory of Open Access Journals (Sweden)

    Morteza Sadeghi

    2014-04-01

    Full Text Available Introduction: DNA extraction from the ancient bones tissues is currently very difficult. Phenol chloroform silica method is one of the methods currently used for this aim. The purpose of this study was to optimize the assessment method. Methods: DNA of 62 bone tissues (average 3-11 years was first extracted with phenol chloroform silica methods and then with changing of some parameters of the methods the extracted DNA was amplified in eight polymorphisms area including FES, F13, D13S317, D16, D5S818, vWA and CD4. Results from samples gained by two methods were compared in acrylamide gel. Results: The average of PCR yield for new method and common method in eight polymorphism regions was 75%, 78%, 81%, 76%, 85%, 71%, 89%, 86% and 64%, 39%, 70%, 49%, 68%, 76%, 71% and 28% respectively. The average of DNA in optimized (in 35l silica density and common method were 267.5 µg/ml with 1.12 purity and 192.76 g/ml with 0.84 purity respectively. Conclusions: According to the findings of this study, it is estimated that longer EDTA attendance is an efficient agent in removing calcium and also adequate density of silica particles can be efficient in removal of PCR inhibitors.

  6. FEATURE EXTRACTION FOR EMG BASED PROSTHESES CONTROL

    Directory of Open Access Journals (Sweden)

    R. Aishwarya

    2013-01-01

    Full Text Available The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as time- and frequency-domain properties. Time series analysis using Auto Regressive (AR model and Mean frequency which is tolerant to white Gaussian noise are used as feature extraction techniques. EMG Histogram is used as another feature vector that was seen to give more distinct classification. The work was done with SEMG dataset obtained from the NINAPRO DATABASE, a resource for bio robotics community. Eight classes of hand movements hand open, hand close, Wrist extension, Wrist flexion, Pointing index, Ulnar deviation, Thumbs up, Thumb opposite to little finger are taken into consideration and feature vectors are extracted. The feature vectors can be given to an artificial neural network for further classification in controlling the prosthetic arm which is not dealt in this paper.

  7. Extraction of Roof Lines from High-Resolution Images by a Grouping Method

    Science.gov (United States)

    Dal Poz, A. P.; Fernandes, V. J. M.

    2016-06-01

    This paper proposes a method for extracting groups of straight lines that represent roof boundaries and roof ridgelines from highresolution aerial images using corresponding Airborne Laser Scanner (ALS) roof polyhedrons as initial approximations. The proposed method is based on two main steps. First, straight lines that are candidates to represent roof ridgelines and roof boundaries of a building are extracted from the aerial image. Second, a group of straight lines that represent roof boundaries and roof ridgelines of a selected building is obtained through the optimization of a Markov Random Field (MRF)-based energy function using the genetic algorithm optimization method. The formulation of this energy function considers several attributes, such as the proximity of the extracted straight lines to the corresponding projected ALS-derived roof polyhedron and the rectangularity (extracted straight lines that intersect at nearly 90°). Experimental results are presented and discussed in this paper.

  8. A Hybrid Method of Domain Lexicon Construction for Opinion Targets Extraction Using Syntax and Semantics

    Institute of Scientific and Technical Information of China (English)

    Chun LiaoChong Feng∗Sen Yang; He-Yan Huang

    2016-01-01

    Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field (CRF). However, this method only takes lexicon-related features into consideration and does not excavate the implied syntactic and semantic knowledge. We propose a novel approach which incorporates domain lexicon with groups of syntactical and semantic features. The approach acquires domain lexicon through a novel way which explores syntactic and semantic information through Part-of-Speech, dependency structure, phrase structure, semantic role and semantic similarity based on word embedding. And then we combine the domain lexicon with opinion targets extracted from CRF with groups of features for opinion targets extraction. Experimental results on COAE2014 dataset show the outperformance of the approach compared with other well-known methods on the task of opinion targets extraction.

  9. Comparison of RNA extraction methods in Thai aromatic coconut water

    Directory of Open Access Journals (Sweden)

    Nopporn Jaroonchon

    2015-10-01

    Full Text Available Many researches have reported that nucleic acid in coconut water is in free form and at very low yields which makes it difficult to process in molecular studies. Our research attempted to compare two extraction methods to obtain a higher yield of total RNA in aromatic coconut water and monitor its change at various fruit stages. The first method used ethanol and sodium acetate as reagents; the second method used lithium chloride. We found that extraction using only lithium chloride gave a higher total RNA yield than the method using ethanol to precipitate nucleic acid. In addition, the total RNA from both methods could be used in amplification of betaine aldehyde dehydrogenase2 (Badh2 genes, which is involved in coconut aroma biosynthesis, and could be used to perform further study as we expected. From the molecular study, the nucleic acid found in coconut water increased with fruit age.

  10. Seamless Ligation Cloning Extract (SLiCE) cloning method.

    Science.gov (United States)

    Zhang, Yongwei; Werling, Uwe; Edelmann, Winfried

    2014-01-01

    SLiCE (Seamless Ligation Cloning Extract) is a novel cloning method that utilizes easy to generate bacterial cell extracts to assemble multiple DNA fragments into recombinant DNA molecules in a single in vitro recombination reaction. SLiCE overcomes the sequence limitations of traditional cloning methods, facilitates seamless cloning by recombining short end homologies (15-52 bp) with or without flanking heterologous sequences and provides an effective strategy for directional subcloning of DNA fragments from bacterial artificial chromosomes or other sources. SLiCE is highly cost-effective and demonstrates the versatility as a number of standard laboratory bacterial strains can serve as sources for SLiCE extract. We established a DH10B-derived E. coli strain expressing an optimized λ prophage Red recombination system, termed PPY, which facilitates SLiCE with very high efficiencies.

  11. Calculation of radon concentration in water by toluene extraction method

    Energy Technology Data Exchange (ETDEWEB)

    Saito, Masaaki [Tokyo Metropolitan Isotope Research Center (Japan)

    1997-02-01

    Noguchi method and Horiuchi method have been used as the calculation method of radon concentration in water. Both methods have two problems in the original, that is, the concentration calculated is changed by the extraction temperature depend on the incorrect solubility data and the concentration calculated are smaller than the correct values, because the radon calculation equation does not true to the gas-liquid equilibrium theory. However, the two problems are solved by improving the radon equation. I presented the Noguchi-Saito equation and the constant B of Horiuchi-Saito equation. The calculating results by the improved method showed about 10% of error. (S.Y.)

  12. Antioxidant activity of various parts of Cinnamomum cassia extracted with different extraction methods.

    Science.gov (United States)

    Yang, Cheng-Hong; Li, Rong-Xian; Chuang, Li-Yeh

    2012-06-13

    The aim of this study was to investigate the antioxidant activities of various parts (barks, buds, and leaves) of Cinnamomum cassia extracted with ethanol and supercritical fluid extraction (SFE). For the antioxidant activity comparison, IC50 values of the SFE and ethanol extracts in the DPPH scavenging assay were 0.562-10.090 mg/mL and 0.072-0.208 mg/mL, and the Trolox equivalent antioxidant capacity (TEAC) values were 6.789-58.335 mmole Trolox/g and 133.039-335.779 mmole Trolox/g, respectively. In addition, the total flavonoid contents were 0.031-1.916 g/ 100 g dry weight of materials (DW) and 2.030-3.348 g/ 100 g DW, and the total phenolic contents were 0.151-2.018 g/ 100 g DW and 6.313-9.534 g/ 100 g DW in the SFE and ethanol extracts, respectively. Based on the results, the ethanol extracts of Cinnamon barks have potential value as an antioxidant substitute and this study also provide a better technique to extract the natural antioxidant substances from C. cassia.

  13. Single corn kernel aflatoxin B1 extraction and analysis method

    Science.gov (United States)

    Aflatoxins are highly carcinogenic compounds produced by the fungus Aspergillus flavus. Aspergillus flavus is a phytopathogenic fungus that commonly infects crops such as cotton, peanuts, and maize. The goal was to design an effective sample preparation method and analysis for the extraction of afla...

  14. Solid phase extraction method for determination of mitragynine in ...

    African Journals Online (AJOL)

    mitragynine in urine and its application to mitragynine excretion ... Purpose: To develop a solid phase extraction (SPE) method that utilizes reverse-phase high performance .... solution of MG (1 mg/mL) which was further ... Facility, Prince of Songkla University and carried ..... d), which permit unrestricted use, distribution,.

  15. Extraction Methods of Spanish Broom (Spartium Junceum L.

    Directory of Open Access Journals (Sweden)

    Drago Katović

    2011-12-01

    Full Text Available Effects of different extraction methods of the Spanish Broom shoots were measured and compared with the purpose of obtaining composite material. The content of cellulose, lignin, pentosan and ash in the Spanish Broom fibers was determined. SEM analyses were performed.

  16. A simple and efficient total genomic DNA extraction method for individual zooplankton.

    Science.gov (United States)

    Fazhan, Hanafiah; Waiho, Khor; Shahreza, Md Sheriff

    2016-01-01

    Molecular approaches are widely applied in species identification and taxonomic studies of minute zooplankton. One of the most focused zooplankton nowadays is from Subclass Copepoda. Accurate species identification of all life stages of the generally small sized copepods through molecular analysis is important, especially in taxonomic and systematic assessment of harpacticoid copepod populations and to understand their dynamics within the marine community. However, total genomic DNA (TGDNA) extraction from individual harpacticoid copepods can be problematic due to their small size and epibenthic behavior. In this research, six TGDNA extraction methods done on individual harpacticoid copepods were compared. The first new simple, feasible, efficient and consistent TGDNA extraction method was designed and compared with the commercial kit and modified available TGDNA extraction methods. The newly described TGDNA extraction method, "Incubation in PCR buffer" method, yielded good and consistent results based on the high success rate of PCR amplification (82%) compared to other methods. Coupled with its relatively consistent and economical method the "Incubation in PCR buffer" method is highly recommended in the TGDNA extraction of other minute zooplankton species.

  17. CTAB-silica Method for DNA Extraction and Purification from Castanea mollissima and Ginkgo biloba

    Institute of Scientific and Technical Information of China (English)

    Shen Yongbao; Shi Jisen

    2003-01-01

    A new method CTAB-silica for DNA extraction and purification from the leaves and buds of Castanea mollissima and Ginkgo biloba was tested. The method is based on the silica-based purification protocol developed by Boom et al. (1990). By modifying the protocol, plant genome DNA could be extracted easily from dormant buds, mature leaves, and other parts of plant. Our results showed that the purified DNA was of high purity and could be analyzed by PCR. Furthermore, this CTAB-silica method took much less time for a successful DNA purification process compared to the traditional methods (CTAB and SDS). By our method, the suitable DNA can be extracted and purified from over 10 plant samples by one person in an hour.

  18. High-performance liquid chromatography - Ultraviolet method for the determination of total specific migration of nine ultraviolet absorbers in food simulants based on 1,1,3,3-Tetramethylguanidine and organic phase anion exchange solid phase extraction to remove glyceride.

    Science.gov (United States)

    Wang, Jianling; Xiao, Xiaofeng; Chen, Tong; Liu, Tingfei; Tao, Huaming; He, Jun

    2016-06-17

    The glyceride in oil food simulant usually causes serious interferences to target analytes and leads to failure of the normal function of the RP-HPLC column. In this work, a convenient HPLC-UV method for the determination of the total specific migration of nine ultraviolet (UV) absorbers in food simulants was developed based on 1,1,3,3-tetramethylguanidine (TMG) and organic phase anion exchange (OPAE) SPE to efficiently remove glyceride in olive oil simulant. In contrast to the normal ion exchange carried out in an aqueous solution or aqueous phase environment, the OPAE SPE was performed in the organic phase environments, and the time-consuming and challenging extraction of the nine UV absorbers from vegetable oil with aqueous solution could be readily omitted. The method was proved to have good linearity (r≥0.99992), precision (intra-day RSD≤3.3%), and accuracy(91.0%≤recoveries≤107%); furthermore, the lower limit of quantifications (0.05-0.2mg/kg) in five types of food simulants(10% ethanol, 3% acetic acid, 20% ethanol, 50% ethanol and olive oil) was observed. The method was found to be well suited for quantitative determination of the total specific migration of the nine UV absorbers both in aqueous and vegetable oil simulant according to Commission Regulation (EU) No. 10/2011. Migration levels of the nine UV absorbers were determined in 31 plastic samples, and UV-24, UV-531, HHBP and UV-326 were frequently detected, especially in olive oil simulant for UV-326 in PE samples. In addition, the OPAE SPE procedure was also been applied to efficiently enrich or purify seven antioxidants in olive oil simulant. Results indicate that this procedure will have more extensive applications in the enriching or purification of the extremely weak acidic compounds with phenol hydroxyl group that are relatively stable in TMG n-hexane solution and that can be barely extracted from vegetable oil.

  19. Efficiency of solvent extraction methods for the determination of methyl mercury in forest soils.

    Science.gov (United States)

    Qian, J; Skyllberg, U; Tu, Q; Bleam, W F; Frech, W

    2000-07-01

    Methyl mercury was determined by gas chromatography, microwave induced plasma, atomic emission spectrometry (GC-MIP-AES) using two different methods. One was based on extraction of mercury species into toluene, pre-concentration by evaporation and butylation of methyl mercury with a Grignard reagent followed by determination. With the other, methyl mercury was extracted into dichloromethane and back extracted into water followed by in situ ethylation, collection of ethylated mercury species on Tenax and determination. The accuracy of the entire procedure based on butylation was validated for the individual steps involved in the method. Methyl mercury added to various types of soil samples showed an overall average recovery of 87.5%. Reduced recovery was only caused by losses of methyl mercury during extraction into toluene and during pre-concentration by evaporation. The extraction of methyl mercury added to the soil was therefore quantitative. Since it is not possible to directly determine the extraction efficiency of incipient methyl mercury, the extraction efficiency of total mercury with an acidified solution containing CuSO4 and KBr was compared with high-pressure microwave acid digestion. The solvent extraction efficiency was 93%. For the IAEA 356 sediment certified reference material, mercury was less efficiently extracted and determined methyl mercury concentrations were below the certified value. Incomplete extraction could be explained by the presence of a large part of inorganic sulfides, as determined by x-ray absorption near-edge structure spectroscopy (XANES). Analyses of sediment reference material CRM 580 gave results in agreement with the certified value. The butylation method gave a detection limit for methyl mercury of 0.1 ng g(-1), calculated as three times the standard deviation for repeated analysis of soil samples. Lower values were obtained with the ethylation method. The precision, expressed as RSD for concentrations 20 times above the

  20. High-throughput preparation methods of crude extract for robust cell-free protein synthesis.

    Science.gov (United States)

    Kwon, Yong-Chan; Jewett, Michael C

    2015-03-02

    Crude extract based cell-free protein synthesis (CFPS) has emerged as a powerful technology platform for high-throughput protein production and genetic part characterization. Unfortunately, robust preparation of highly active extracts generally requires specialized and costly equipment and can be labor and time intensive. Moreover, cell lysis procedures can be hard to standardize, leading to different extract performance across laboratories. These challenges limit new entrants to the field and new applications, such as comprehensive genome engineering programs to improve extract performance. To address these challenges, we developed a generalizable and easily accessible high-throughput crude extract preparation method for CFPS based on sonication. To validate our approach, we investigated two Escherichia coli strains: BL21 Star™ (DE3) and a K12 MG1655 variant, achieving similar productivity (defined as CFPS yield in g/L) by varying only a few parameters. In addition, we observed identical productivity of cell extracts generated from culture volumes spanning three orders of magnitude (10 mL culture tubes to 10 L fermentation). We anticipate that our rapid and robust extract preparation method will speed-up screening of genomically engineered strains for CFPS applications, make possible highly active extracts from non-model organisms, and promote a more general use of CFPS in synthetic biology and biotechnology.

  1. An Extended SPAC Method For Dispersion Curves Extraction From Microtremor

    Science.gov (United States)

    Wang, J.; Chen, X.

    2013-12-01

    The spatial autocorrelation (SPAC) method is a useful tool for imaging subsurface structure from ambient noise. The traditional SPAC method assumes that the ambient noise consists of Rayleigh wave without higher modes. We propose an extended SPAC method to extract higher modes Rayleigh wave dispersion curves which contain useful information for improving the inverted S-wave velocity model. We use discrete wavenumber integral method and harmonic wave superposition to synthesize microtremor for 1-D layered model. We analyse the ambient noise include higher modes of surface waves, and the SPAC coefficients is composed of each component by its power fraction. We can extract higher mode dispersion curves using the orthogonality relations of Bessel function.

  2. Modification of evidence theory based on feature extraction

    Institute of Scientific and Technical Information of China (English)

    DU Feng; SHI Wen-kang; DENG Yong

    2005-01-01

    Although evidence theory has been widely used in information fusion due to its effectiveness of uncertainty reasoning, the classical DS evidence theory involves counter-intuitive behaviors when high conflict information exists. Many modification methods have been developed which can be classified into the following two kinds of ideas, either modifying the combination rules or modifying the evidence sources. In order to make the modification more reasonable and more effective, this paper gives a thorough analysis of some typical existing modification methods firstly, and then extracts the intrinsic feature of the evidence sources by using evidence distance theory. Based on the extracted features, two modified plans of evidence theory according to the corresponding modification ideas have been proposed. The results of numerical examples prove the good performance of the plans when combining evidence sources with high conflict information.

  3. Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation

    Directory of Open Access Journals (Sweden)

    Zhang Zhi-long

    2014-02-01

    Full Text Available This paper presents a novel feature extraction method for remote sensing imagery based on the cooperation of multiple ant colonies. First, multiresolution expression of the input remote sensing imagery is created, and two different ant colonies are spread on different resolution images. The ant colony in the low-resolution image uses phase congruency as the inspiration information, whereas that in the high-resolution image uses gradient magnitude. The two ant colonies cooperate to detect features in the image by sharing the same pheromone matrix. Finally, the image features are extracted on the basis of the pheromone matrix threshold. Because a substantial amount of information in the input image is used as inspiration information of the ant colonies, the proposed method shows higher intelligence and acquires more complete and meaningful image features than those of other simple edge detectors.

  4. Antioxidant activity and total phenolic compounds of Dezful sesame cake extracts obtained by classical and ultrasound-assisted extraction methods

    OpenAIRE

    2014-01-01

    Sesame cake is a by-product of sesame oil industry. In this study, the effect of extraction methods (maceration and sonication) and solvents (ethanol, methanol, ethanol/water (50:50), methanol/water (50:50), and water) on the antioxidant properties of sesame cake extracts are evaluated to determine the most suitable extraction method for optimal use of this product. Total phenolic content is measured according to the Folin–Ciocalteu method and antioxidant activities of each extract are evalua...

  5. A Comparison of DNA Extraction Methods using Petunia hybrida Tissues

    OpenAIRE

    Tamari, Farshad; Hinkley, Craig S.; Ramprashad, Naderia

    2013-01-01

    Extraction of DNA from plant tissue is often problematic, as many plants contain high levels of secondary metabolites that can interfere with downstream applications, such as the PCR. Removal of these secondary metabolites usually requires further purification of the DNA using organic solvents or other toxic substances. In this study, we have compared two methods of DNA purification: the cetyltrimethylammonium bromide (CTAB) method that uses the ionic detergent hexadecyltrimethylammonium brom...

  6. Evaluation of Five Methods for Total DNA Extraction from Western Corn Rootworm Beetles

    Science.gov (United States)

    Chen, Hong; Rangasamy, Murugesan; Tan, Sek Yee; Wang, Haichuan; Siegfried, Blair D.

    2010-01-01

    Background DNA extraction is a routine step in many insect molecular studies. A variety of methods have been used to isolate DNA molecules from insects, and many commercial kits are available. Extraction methods need to be evaluated for their efficiency, cost, and side effects such as DNA degradation during extraction. Methodology/Principal Findings From individual western corn rootworm beetles, Diabrotica virgifera virgifera, DNA extractions by the SDS method, CTAB method, DNAzol® reagent, Puregene® solutions and DNeasy® column were compared in terms of DNA quantity and quality, cost of materials, and time consumed. Although all five methods resulted in acceptable DNA concentrations and absorbance ratios, the SDS and CTAB methods resulted in higher DNA yield (ng DNA vs. mg tissue) at much lower cost and less degradation as revealed on agarose gels. The DNeasy® kit was most time-efficient but was the costliest among the methods tested. The effects of ethanol volume, temperature and incubation time on precipitation of DNA were also investigated. The DNA samples obtained by the five methods were tested in PCR for six microsatellites located in various positions of the beetle's genome, and all samples showed successful amplifications. Conclusion/Significance These evaluations provide a guide for choosing methods of DNA extraction from western corn rootworm beetles based on expected DNA yield and quality, extraction time, cost, and waste control. The extraction conditions for this mid-size insect were optimized. The DNA extracted by the five methods was suitable for further molecular applications such as PCR and sequencing by synthesis. PMID:20730102

  7. Evaluation of five methods for total DNA extraction from western corn rootworm beetles.

    Directory of Open Access Journals (Sweden)

    Hong Chen

    Full Text Available BACKGROUND: DNA extraction is a routine step in many insect molecular studies. A variety of methods have been used to isolate DNA molecules from insects, and many commercial kits are available. Extraction methods need to be evaluated for their efficiency, cost, and side effects such as DNA degradation during extraction. METHODOLOGY/PRINCIPAL FINDINGS: From individual western corn rootworm beetles, Diabrotica virgifera virgifera, DNA extractions by the SDS method, CTAB method, DNAzol reagent, Puregene solutions and DNeasy column were compared in terms of DNA quantity and quality, cost of materials, and time consumed. Although all five methods resulted in acceptable DNA concentrations and absorbance ratios, the SDS and CTAB methods resulted in higher DNA yield (ng DNA vs. mg tissue at much lower cost and less degradation as revealed on agarose gels. The DNeasy kit was most time-efficient but was the costliest among the methods tested. The effects of ethanol volume, temperature and incubation time on precipitation of DNA were also investigated. The DNA samples obtained by the five methods were tested in PCR for six microsatellites located in various positions of the beetle's genome, and all samples showed successful amplifications. CONCLUSION/SIGNIFICANCE: These evaluations provide a guide for choosing methods of DNA extraction from western corn rootworm beetles based on expected DNA yield and quality, extraction time, cost, and waste control. The extraction conditions for this mid-size insect were optimized. The DNA extracted by the five methods was suitable for further molecular applications such as PCR and sequencing by synthesis.

  8. Status of the Reactive Extraction as a Method of Separation

    Directory of Open Access Journals (Sweden)

    Dipaloy Datta

    2015-01-01

    Full Text Available The prospective function of a novel energy efficient fermentation technology has been getting great attention in the past fifty years due to the quick raise in petroleum costs. Fermentation chemicals are still limited in the modern market in huge part because of trouble in recovery of carboxylic acids. Therefore, it is needed considerable development in the current recovery technology. Carboxylic acids have been used as the majority of fermentation chemicals. This paper presents a state-of-the-art review on the reactive extraction of carboxylic acids from fermentation broths. This paper principally focuses on reactive extraction that is found to be a capable option to the proper recovery methods.

  9. Leaf Vein Extraction Based on Gray-scale Morphology

    Directory of Open Access Journals (Sweden)

    Xiaodong Zheng

    2010-12-01

    Full Text Available Leaf features play an important role in plant species identification and plant taxonomy. The type of the leaf vein is an important morphological feature of the leaf in botany. Leaf vein should be extracted from the leaf in the image before discriminating its type. In this paper a new method of leaf vein extraction has been proposed based on gray-scale morphology. Firstly, the color image of the plant leaf is transformed to the gray image according to the hue and intensity information. Secondly, the gray-scale morphology processing is applied to the image to eliminate the color overlap in the whole leaf vein and the whole background. Thirdly, the linear intensity adjustment is adopted to enlarge the gray value difference between the leaf vein and its background. Fourthly, calculate a threshold with OSTU method to segment the leaf vein from its background. Finally, the leaf vein can be got after some processing on details. Experiments have been conducted with several images. The results show the effectiveness of the method. The idea of the method is also applicable to other linear objects extraction.

  10. New Multipole Method for 3-D Capacitance Extraction

    Institute of Scientific and Technical Information of China (English)

    Zhao-Zhi Yang; Ze-Yi Wang

    2004-01-01

    This paper describes an effcient improvement of the multipole accelerated boundary element method for 3-D capacitance extraction.The overall relations between the positions of 2-D boundary elements are considered instead of only the relations between the center-points of the elements,and a new method of cube partitioning is introduced.Numerical results are presented to demonstrate that the method is accurate and has nearly linear computational growth as O(n),where n is the number of panels/boundary elements.The proposed method is more accurate and much faster than Fastcap.

  11. Spoken Language Identification Using Hybrid Feature Extraction Methods

    CERN Document Server

    Kumar, Pawan; Mishra, A N; Chandra, Mahesh

    2010-01-01

    This paper introduces and motivates the use of hybrid robust feature extraction technique for spoken language identification (LID) system. The speech recognizers use a parametric form of a signal to get the most important distinguishable features of speech signal for recognition task. In this paper Mel-frequency cepstral coefficients (MFCC), Perceptual linear prediction coefficients (PLP) along with two hybrid features are used for language Identification. Two hybrid features, Bark Frequency Cepstral Coefficients (BFCC) and Revised Perceptual Linear Prediction Coefficients (RPLP) were obtained from combination of MFCC and PLP. Two different classifiers, Vector Quantization (VQ) with Dynamic Time Warping (DTW) and Gaussian Mixture Model (GMM) were used for classification. The experiment shows better identification rate using hybrid feature extraction techniques compared to conventional feature extraction methods.BFCC has shown better performance than MFCC with both classifiers. RPLP along with GMM has shown be...

  12. EEG feature extraction method based on wavelet transform and sample entropy%脑电信号的小波变换和样本熵特征提取方法

    Institute of Scientific and Technical Information of China (English)

    张毅; 罗明伟; 罗元

    2012-01-01

    针对现有的采用单一的特征提取算法对运动想象脑电信号识别率不高的问题,提出一种结合小波变换和样本熵的特征提取方法.通过小波变换,把脑电信号进行3层分解,抽取出对应于脑电β节律频带的小波系数的能量均值和能量均值差,并结合脑电信号的样本熵组成特征向量,使用支持向量机分类器对左右手运动想象脑电信号进行分类.结果表明,结合小波变换和样本熵的特征提取方法明显优于仅采用小波变换、样本熵以及其他传统的特征提取方法,得到的最高正确识别率为91.43%.%Considering the issue of low recognition rate for electroencephalograph ( EEG) signal of motor imagery by using current single feature extraction method, a feature extraction method based on wavelet transform and sample entropy is presented in this paper. The EEG signals are decomposed to three levels by wavelet transform and the av-erage energy and its difference of wavelet coefficient corresponding to the p rhythm of EEG signals are computed. The feature vector is composed of the average energy, its difference of wavelet coefficient and sample entropy of EEG signals. Finally, the left-right hands motor imagery EEG signals are classified by a support vector machine classifier. The experimental results show that the feature extraction method combining wavelet transform and sample entropy is much better than the ways of only using wavelet transform, sample entropy, or others, and its highest recognition rate is 91.43%.

  13. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang Xiong; He Gui-ming; Zhang Yun

    2003-01-01

    In the Automatic Fingerprint Identification System (AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characteristic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  14. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang; Xiong; He; Gui-Ming; 等

    2003-01-01

    In the Automatic Fingerprint Identification System(AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characterstic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  15. Subject-action-object-triples-based method for extraction of knowledge gene%一种基于Subject-Action-Object三元组的知识基因提取方法

    Institute of Scientific and Technical Information of China (English)

    许琦; 顾新建

    2013-01-01

    以专利引证网络为载体,从知识基因稳定性、遗传性以及变异性等基本特征出发,提出一种基于subject-action-object三元组的知识基因提取方法.应用连接度算法分析专利引证关系,挖掘引证专利和被引专利之间继承和发展的知识流,建立知识进化轨迹;利用文本语法分析技术,从专利权利要求书中提取subject-action-object三元组;基于语义词库WordNet进行语义加工,计算语义相似度,合并同义的subject-action-object三元组,绘制知识基因图谱.从美国专利数据库中采集了5 073项1975-1999年授权的数据挖掘领域的相关专利,分析了专利的地区分布情况和年度分布情况.从NBER (National Bureau of Economic Research)的专利数据集中查询得到专利引证关系,利用网络分析软件Pajek构建专利引证网络,作为实验数据样本,对所提出的知识基因提取方法进行验证.实验结果表明:所提取的subject-action-object三元组具备了知识基因稳定性、遗传性和变异性等特征,可以作为知识基因的一种表现形式.%Taking the patent citation network as carrier and the basic characteristics of knowledge gene as extraction principle, such as stability, hereditary and variability, this work proposed a subject-action-ob-ject-triples-based method for extraction of knowledge gene. First, the connectivity algorithm is applied to analyze the patent citation relationship, mine the knowledge flow of inheritance and development between citing patents, and cited patents and establish the knowledge evolutionary trajectory. Then, the text parsing technology was used to extract the subject-action-object triples from patent claims. And last, semantic processing was carried out based on semantic repository WordNet to compute semantic similarity, combine synonymous subject-action-object triples, and draw knowledge genetic map. This work collected 5 073 patents related to data mining which was granted

  16. Lipid extraction methods from microalgae: A comprehensive review

    Directory of Open Access Journals (Sweden)

    Ranjith Kumar eR

    2015-01-01

    Full Text Available Energy security has become a serious global issue and a lot of research is being carried out to look for economocially viable and environment-friendly alternatives. The only solution that appears to to meet the futuristic needs is the use of renewable energy. Although various forms of renewable energy are being currently used, the prospects of producing carbon-neutral biofuels from microalgae appears bright because of its unique features such as suitability of growing in open ponds required for production of a commodity product, high CO2-sequestering capability, ability to grow in wastewater/seawater/brackishwater and high lipid productivity. The major process constraint in the microalgal biofuel technology is the cost-effective and efficient extraction of lipids. The objective of this article is to provide a comprehensive review on various methods of lipid extraction from microalgae available till date, as well as to discuss their advantages and disadvantages. The article covers all areas of lipid extraction procedures including solvent extraction procedures, mechanical approaches and solvent-free procedures apart from some of the latest extraction technologies. A lot more research efforts are required in this area for successful implementation of this technology at a production scale.

  17. Genomic DNA from rat blood: A comparison of two extraction methods

    Directory of Open Access Journals (Sweden)

    Takić Miladinov, D.

    2016-09-01

    Full Text Available In this study, two methods for DNA extraction from fresh rat blood were compared. One is based on the use of cetyltrimethylammonium bromide (CTAB method, while the other one is well-known salting out method. Spectrophotometric analysis was employed to assess yield and purity of isolated DNA, while agarose gel electrophoresis was carried out to evaluate DNA integrity. The results have clearly demonstrated that the extraction method has significantly influenced the quantity and purity of isolated DNA. By using the CTAB method, a larger quantity of high-molecular weight DNA with good purity is obtained which, along with timeand cost-efficiency of the procedure, makes this method more suitable for the extraction of DNA from rat whole blood.

  18. A curvature extreme based method for feature extraction from LiDAR point cloud%一种基于曲率极值法的LiDAR点云特征提取算法

    Institute of Scientific and Technical Information of China (English)

    王永波; 盛业华

    2011-01-01

    Abstract: Considering the omission of people's subjective capacity for determination in the process of data collection, and also for data redundancy of 3D laser scanning, a curvature extreme & minimum spanning tree based method is presented to extract features from unorganized point clouds. Conicoids are fitted to simulate original sample surface, so geometrical & differential properties are estimated. Average curvature of each sample point is compared with threshold to select initial feature points. After that, curvature extremes are used to refine selected feature points. A minimum spanning tree based method is designed to determine the final feature points and to determine topological relations among these extracted feature points. Re- sults show that the method is feasible and effective. When features are extracted from point clouds, visual effects of point cloud are effectively enhanced, and this makes up the limitationthat people's subjective capacity for determination is omitted in the process of data collection. By using the extracted features to guide and restrict data reduction method designed for point cloud, while important features are preserved, the amount of point cloud is greatly reduced.%针对地面LiDAR(1ightdetectionandranging)技术在三维数据采集过程中无法体现人的主观判别能力、采样数据存在大量冗余的问题,提出了一种基于曲率极值与最小生成树准则的LiDAR点云特征提取算法.通过二次曲面拟合实现对原始采样曲面的模拟与表达,估算采样表面的几何微分属性,分别基于平均曲率比较法、曲率极值法来实现特征点的初选与精选;设计并实现了一种基于最小生成树准则的特征点拓扑邻接关系的确定方法以及相应的最小生成树裁减算法,在确定特征点拓扑邻接关系的同时,依据裁减算法实现了采样地理实体表面特征的精确提取.实验证明,算法是可行、有效

  19. Innovative method for boron extraction from iron ore containing boron

    Science.gov (United States)

    Wang, Guang; Wang, Jing-song; Yu, Xin-yun; Shen, Ying-feng; Zuo, Hai-bin; Xue, Qing-guo

    2016-03-01

    A novel process for boron enrichment and extraction from ludwigite based on iron nugget technology was proposed. The key steps of this novel process, which include boron and iron separation, crystallization of boron-rich slag, and elucidation of the boron extraction behavior of boron-rich slag by acid leaching, were performed at the laboratory. The results indicated that 95.7% of the total boron could be enriched into the slag phase, thereby forming a boron-rich slag during the iron and slag melting separation process. Suanite and kotoite were observed to be the boron-containing crystalline phases, and the boron extraction properties of the boron-rich slag depended on the amounts and grain sizes of these minerals. When the boron-rich slag was slowly cooled to 1100°C, the slag crystallized well and the efficiency of extraction of boron (EEB) of the slag was the highest observed in the present study. The boron extraction property of the slow-cooled boron-rich slag obtained in this study was much better than that of szaibelyite ore under the conditions of 80% of theoretical sulfuric acid amount, leaching time of 30 min, leaching temperature of 40°C, and liquid-to-solid ratio of 8 mL/g.

  20. Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification.

    Science.gov (United States)

    Herrera, L J; Fernandes, C M; Mora, A M; Migotina, D; Largo, R; Guillen, A; Rosa, A C

    2013-06-01

    This work proposes a methodology for sleep stage classification based on two main approaches: the combination of features extracted from electroencephalogram (EEG) signal by different extraction methods, and the use of stacked sequential learning to incorporate predicted information from nearby sleep stages in the final classifier. The feature extraction methods used in this work include three representative ways of extracting information from EEG signals: Hjorth features, wavelet transformation and symbolic representation. Feature selection was then used to evaluate the relevance of individual features from this set of methods. Stacked sequential learning uses a second-layer classifier to improve the classification by using previous and posterior first-layer predicted stages as additional features providing information to the model. Results show that both approaches enhance the sleep stage classification accuracy rate, thus leading to a closer approximation to the experts' opinion.

  1. Topic extraction method using RED-NMF algorithm for detecting outbreak of some disease on Twitter

    Science.gov (United States)

    Iskandar, Afif Akbar

    2017-03-01

    Indonesia is one of the biggest user of social media, this can be useful for detecting a popular trend in an era, including some disease outbreak that we get from topic extracting method, e.g.: NMF. However, the texts that were spread was an unstructured text which needs to be cleaned before being processed. One of the cleaning methods of texts is using regular expression. However, data texts from social media have a lot of variations, which means that regular expression that were being made have to adapt each data that will be cleaned, hence, we need an algorithm to "learn" the form of texts that need to be cleaned. In this paper, we purposed a framework for cleaning and extracting topic from Twitter data called RED-NMF, feature extraction and filtering method based on regular expression discovery algorithm for data cleaning and non-negative matrix factorization for extract the topic.

  2. A rapid method for the detection of foodborne pathogens by extraction of a trace amount of DNA from raw milk based on amino-modified silica-coated magnetic nanoparticles and polymerase chain reaction.

    Science.gov (United States)

    Bai, Yalong; Song, Minghui; Cui, Yan; Shi, Chunlei; Wang, Dapeng; Paoli, George C; Shi, Xianming

    2013-07-17

    A method based on amino-modified silica-coated magnetic nanoparticles (ASMNPs) and polymerase chain reaction (PCR) was developed to rapidly and sensitively detect foodborne pathogens in raw milk. After optimizing parameters such as pH, temperature, and time, a trace amount of genomic DNA of pathogens could be extracted directly from complex matrices such as raw milk using ASMNPs. The magnetically separated complexes of genomic DNA and ASMNPs were directly subjected to single PCR (S-PCR) or multiplex PCR (M-PCR) to detect single or multiple pathogens from raw milk samples. Salmonella Enteritidis (Gram-negative) and Listeria monocytogenes (Gram-positive) were used as model organisms to artificially contaminate raw milk samples. After magnetic separation and S-PCR, the detection sensitivities were 8 CFU mL(-1) and 13 CFU mL(-1) respectively for these two types of pathogens. Furthermore, this method was successfully used to detect multiple pathogens (S. Enteritidis and L. monocytogenes) from artificially contaminated raw milk using M-PCR at sensitivities of 15 CFU mL(-1) and 25 CFU mL(-1), respectively. This method has great potential to rapidly and sensitively detect pathogens in raw milk or other complex food matrices.

  3. The Automatic Generation of Chinese Outline Font Based on Stroke Extraction

    Institute of Scientific and Technical Information of China (English)

    1995-01-01

    A new method to obtain spline outline description of Chinese font based on stroke extraction is presented.It has two primary advantages:(1)the quality of Chinese output is greatly improved;(2)the memory requirement is reduced.The method for stroke extraction is discussed in detail and experimental results are presented.

  4. 基于递归图和近似熵的水下目标特征提取方法%Method of Underwater Target Feature Extraction Based on Recurrence Plot and Approximate Entropy

    Institute of Scientific and Technical Information of China (English)

    凌继平; 黄定东; 邓异; 刘仁杰

    2011-01-01

    To make use of the nonlinear property of underwater target radiated noise in feature extraction to classy the target effectively. Recurrence plot analysis and approximate entropy estimation method is citied to get dynamic characteristics property of original time series. Recurrence plot of target signal is plot based on phase space reconstruction to study the classification property and the determinism of original dynamic system. The nonlinear feature such as approximate entropy is extracted on the basis of recurrence plot algorithm. Based on the 3 types of target sample, simulation result shows that the periodicity embedding strength and determinism of target signal can be just qualitatively. And 3 types of underwater target can be classified by appro ximate entropy feature extractioa%为有效利用水下目标辐射噪声的非线性特征来对目标作分类识别,提出采用递归图分析和近似熵估计获取原时间序列的动力学行为的方法.在有效相空间重构的基础上,作目标样本时间序列的递归图,定性判断目标的可分性和原动力系统的确定性,在递归图算法的基础上,定量提取近似熵这一非线性特征.通过三类目标样本试验数据仿真表明,递归图分析能有效判断目标信号的周期性嵌入强度和目标信号的确定性,并能对目标作定性区分,近似熵能有效分类三类水下目标.

  5. Data Clustering Analysis Based on Wavelet Feature Extraction

    Institute of Scientific and Technical Information of China (English)

    QIANYuntao; TANGYuanyan

    2003-01-01

    A novel wavelet-based data clustering method is presented in this paper, which includes wavelet feature extraction and cluster growing algorithm. Wavelet transform can provide rich and diversified information for representing the global and local inherent structures of dataset. therefore, it is a very powerful tool for clustering feature extraction. As an unsupervised classification, the target of clustering analysis is dependent on the specific clustering criteria. Several criteria that should be con-sidered for general-purpose clustering algorithm are pro-posed. And the cluster growing algorithm is also con-structed to connect clustering criteria with wavelet fea-tures. Compared with other popular clustering methods,our clustering approach provides multi-resolution cluster-ing results,needs few prior parameters, correctly deals with irregularly shaped clusters, and is insensitive to noises and outliers. As this wavelet-based clustering method isaimed at solving two-dimensional data clustering prob-lem, for high-dimensional datasets, self-organizing mapand U-matrlx method are applied to transform them intotwo-dimensional Euclidean space, so that high-dimensional data clustering analysis,Results on some sim-ulated data and standard test data are reported to illus-trate the power of our method.

  6. Synchronous Carrier Extracting Method Based Demodulation Scheme for Fiber Optic Sensor Using Phase Generated Carrier%基于同步载波提取的光纤传感器相位生成载波解调方法

    Institute of Scientific and Technical Information of China (English)

    张毅; 贾波; 许海燕; 吴红艳; 肖倩

    2011-01-01

    A Michelson interferometer based fiber optic sensor was constructed with the application of a 3 × 3 coupler, faraday rotator, and other optical elements. Phase generated carrier method was applied to modulate the laser. The constructed fiber disturbance sensor was used to a long-distance field safety monitoring. According to the analysis of the interferometer system output, a signal component with the same frequency of the carrier was found in the output signal. Consequently, the carrier signal could be extracted synchronously with a narrow-band band pass filter with center frequency being set to the carrier frequency. When the extracted carrier signal was used to passive homodyne demodulation procedure of phase generated carrier method, the external disturbance signal could be acquired. The method of synchronous carrier extraction was introduced, the feasibility of this method was obtained through theoretical derivation, and the correctness of this theory was authenticated through software simulation and experiment. The low frequency influence to the extracted carrier was also discussed, and the solution was given for the limit of the influence cased by the low frequency signal. This method can be applied especially in the condition when modulation is set far from the output signal to make it hard to acquire the carrier signal.%利用3×3耦合器和法拉第旋转镜等光学元件,构造了一个基于迈克尔逊干涉系统的光纤振动传感器.使用外调制的方法对传输光进行相位生成载波调制,并将该光纤振动传感器应用于长距离的安全监测中.通过对该传感器的干涉输出信号进行贝塞尔展开分析,发现干涉输出信号中含有与外调制所使用的载波频率相同的信号成分.因此,使用一个中心频率为载波频率且通带很窄的带通滤波器,可以同步地提取载波信号.同步提取的载波信号用于干涉输出信号的相位生成载波被动零差解调,可以得到作用

  7. A high volume extraction and purification method for recovering DNA from human bone.

    Science.gov (United States)

    Marshall, Pamela L; Stoljarova, Monika; Schmedes, Sarah E; King, Jonathan L; Budowle, Bruce

    2014-09-01

    DNA recovery, purity and overall extraction efficiency of a protocol employing a novel silica-based column, Hi-Flow(®) (Generon Ltd., Maidenhead, UK), were compared with that of a standard organic DNA extraction methodology. The quantities of DNA recovered by each method were compared by real-time PCR and quality of DNA by STR typing using the PowerPlex(®) ESI 17 Pro System (Promega Corporation, Madison, WI) on DNA from 10 human bone samples. Overall, the Hi-Flow method recovered comparable quantities of DNA ranging from 0.8ng±1 to 900ng±159 of DNA compared with the organic method ranging from 0.5ng±0.9 to 855ng±156 of DNA. Complete profiles (17/17 loci tested) were obtained for at least one of three replicates for 3/10 samples using the Hi-Flow method and from 2/10 samples with the organic method. All remaining bone samples yielded partial profiles for all replicates with both methods. Compared with a standard organic DNA isolation method, the results indicated that the Hi-Flow method provided equal or improved recovery and quality of DNA without the harmful effects of organic extraction. Moreover, larger extraction volumes (up to 20mL) can be employed with the Hi-Flow method which enabled more bone sample to be extracted at one time. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  8. Idioms-based Business Rule Extraction

    NARCIS (Netherlands)

    Smit, R

    2011-01-01

    This thesis studies the extraction of embedded business rules, using the idioms of the used framework to identify them. Embedded business rules exist as source code in the software system and knowledge about them may get lost. Extraction of those business rules could make them accessible and managea

  9. A new method for stable lead isotope extraction from seawater

    Energy Technology Data Exchange (ETDEWEB)

    Zurbrick, Cheryl M., E-mail: CZurbric@ucsc.edu [WIGS, Department of Microbiology and Environmental Toxicology, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 (United States); Gallon, Céline [Institute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 (United States); Flegal, A. Russell [WIGS, Department of Microbiology and Environmental Toxicology, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 (United States); Institute of Marine Sciences, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 (United States)

    2013-10-24

    Graphical abstract: -- Highlights: •We present a relatively fast (2.5–6.5 h), semi-automated system to extract Pb from seawater. •Extraction requires few chemicals and has a relatively low blank (0.7 pmol kg{sup −1}). •We compare analyses of Pb isotopes by HR ICP-MS with those by MC-ICP-MS. -- Abstract: A new technique for stable lead (Pb) isotope extraction from seawater is established using Toyopearl AF-Chelate 650 M{sup ®} resin (Tosoh Bioscience LLC). This new method is advantageous because it is semi-automated and relatively fast; in addition it introduces a relatively low blank by minimizing the volume of chemicals used in the extraction. Subsequent analyses by HR ICP-MS have a good relative external precision (2σ) of 3.5‰ for {sup 206}Pb/{sup 207}Pb, while analyses by MC-ICP-MS have a better relative external precision of 0.6‰. However, Pb sample concentrations limit MC-ICP-MS analyses to {sup 206}Pb, {sup 207}Pb, and {sup 208}Pb. The method was validated by processing the common Pb isotope reference material NIST SRM-981 and several GEOTRACES intercalibration samples, followed by analyses by HR ICP-MS, all of which showed good agreement with previously reported values.

  10. Liquid-phase extraction coupled with metal-organic frameworks-based dispersive solid phase extraction of herbicides in peanuts.

    Science.gov (United States)

    Li, Na; Wang, Zhibing; Zhang, Liyuan; Nian, Li; Lei, Lei; Yang, Xiao; Zhang, Hanqi; Yu, Aimin

    2014-10-01

    Liquid-phase extraction coupled with metal-organic frameworks-based dispersive solid phase extraction was developed and applied to the extraction of pesticides in high fatty matrices. The herbicides were ultrasonically extracted from peanut using ethyl acetate as extraction solvent. The separation of the analytes from a large amount of co-extractive fat was achieved by dispersive solid-phase extraction using MIL-101(Cr) as sorbent. In this step, the analytes were adsorbed on MIL-101(Cr) and the fat remained in bulk. The herbicides were separated and determined by high-performance liquid chromatography. The experimental parameters, including type and volume of extraction solvent, ultrasonication time, volume of hexane and eluting solvent, amount of MIL-101(Cr) and dispersive solid phase extraction time, were optimized. The limits of detection for herbicides range from 0.98 to 1.9 μg/kg. The recoveries of the herbicides are in the range of 89.5-102.7% and relative standard deviations are equal or lower than 7.0%. The proposed method is simple, effective and suitable for treatment of the samples containing high content of fat.

  11. 基于ETM+的遥感蚀变信息提取方法对比研究%A Comparative Study of Extraction Methods for Alteration Information Based on ETM +

    Institute of Scientific and Technical Information of China (English)

    张楠楠; 周可法; 陈曦; 李宏

    2012-01-01

    In order to understand, grasp and apply the characteristics of altered wall rock and the original rock from microcosmic and macroscopic angles and look for large deposits or large ore districts, the authors summarized the common extraction models of alteration information,combined the principal component analysis (PCA) with support vector machines ( SVM) to establish the MASK process - PCA - SVM ( MPS ) model, applied and comparatively studied these models in Hatu area of Xinjiang,and made use of the two methods to verify the extraction results. The results show that the extracting results of the common models are rather poorly consistent with the known deposits, but the alteration information extracted by MPS model is better concordant with the known mineral deposits and altered belts, with the coincidence rate arriving at 86.51%. The combination of geological experts'knowledge with geological maps and a known anomaly spot reveals that the result of MPS model is in accord with the geological fact. Therefore, the extracting precision based on MPS model is higher than that of the common models, and the effect of application is fairly good in the study area. The model proposed in this paper provides a new idea for extracting remote sensing alteration information in the future.%为从微观到宏观了解、掌握和运用围岩蚀变的特征与原岩特征,寻找大型矿床或大型矿集区,在总结常用遥感蚀变信息提取模型的基础上,结合主成分分析(PCA)和支持向量机(SVM)算法,建立了基于“掩模处理-主成分分析-支持向量机( MASK - PCA - SVM,MPs)”的遥感蚀变信息提取模型.在新疆哈图地区进行的基于ETM+的不同蚀变信息提取模型应用对比研究表明,使用常用模型提取出的蚀变信息和矿点吻合效果较差,而基于MPS模型提取出的蚀变信息与已知矿点的吻合率可达86.51%;结合地质专家知识、地质图和一个已知异常点的分析结果表明,基于MPS

  12. Mechanism of gold solvent extraction from aurocyanide solution by quaternary amines: models of extracting species based on hydrogen bonding

    Institute of Scientific and Technical Information of China (English)

    马刚; 闫文飞; 陈景; 严纯华; 高宏成; 周维金; 施鼐; 吴谨光; 徐光宪; 黄昆; 余建民; 崔宁

    2000-01-01

    The mechanism of gold solvent extraction from KAu(CN)2 solution was investigated by means of FTIR, EXAFS, ICP and radioactive tracer methods. Two extraction systems were studied, namely N263-tributyl phosphate(TBP)-n-dodecane and N263-iso-octanol-n-dodecane. High-resolution FT IR spectroscopy indicated that the CN stretching vibrations of the two extraction systems differred greatly. In order to interpret the significant difference in CN stretching vibrations, twoextracting species models are proposed——supramolecular structures based on the formation ofhydrogen bonds between Au(CN)2- and modifiers such as TBP and iso-octanol.

  13. Evaluation of in vitro antioxidant potential of different polarities stem crude extracts by different extraction methods of Adenium obesum

    Institute of Scientific and Technical Information of China (English)

    Mohammad Amzad Hossain; Tahiya Hilal Ali Alabri; Amira Hamood Salim Al Musalami; Md. Sohail Akhtar; Sadri Said

    2014-01-01

    Objective: To select best extraction method for the isolated antioxidant compounds from the stems of Adenium obesum.Methods:Two methods used for the extraction are Soxhlet and maceration methods. Methanol solvent was used for both extraction method. The methanol crude extract was defatted with water and extracted successively with hexane, chloroform, ethyl acetate and butanol solvents. The antioxidant potential for all crude extracts were determined by using 1, 1-diphenyl-2-picrylhydrazyl method.Results:The percentage of extraction yield by Soxhlet method is higher compared to maceration method. The antioxidant potential for methanol and its derived fractions by Soxhlet extractor method was highest in ethyl acetate and lowest in hexane crude extracts and found in the order of ethyl acetate>butanol>water>chloroform>methanol>hexane. However, the antioxidant potential for methanol and its derived fractions by maceration method was highest in butanol and lowest in hexane followed in the order of butanol>methanol>chloroform>water>ethyl acetate>hexane.Conclusions:The results showed that isolate antioxidant compounds effected on the extraction method and condition of extraction.

  14. Evaluation of in vitro antioxidant potential of different polarities stem crude extracts by different extraction methods of Adenium obesum

    Directory of Open Access Journals (Sweden)

    Mohammad Amzad Hossain

    2014-09-01

    Full Text Available Objective: To select best extraction method for the isolated antioxidant compounds from the stems of Adenium obesum. Methods: Two methods used for the extraction are Soxhlet and maceration methods. Methanol solvent was used for both extraction method. The methanol crude extract was defatted with water and extracted successively with hexane, chloroform, ethyl acetate and butanol solvents. The antioxidant potential for all crude extracts were determined by using 1, 1-diphenyl-2- picrylhydrazyl method. Results: The percentage of extraction yield by Soxhlet method is higher compared to maceration method. The antioxidant potential for methanol and its derived fractions by Soxhlet extractor method was highest in ethyl acetate and lowest in hexane crude extracts and found in the order of ethyl acetate>butanol>water>chloroform>methanol>hexane. However, the antioxidant potential for methanol and its derived fractions by maceration method was highest in butanol and lowest in hexane followed in the order of butanol>methanol>chloroform>water>ethyl acetate>hexane. Conclusions: The results showed that isolate antioxidant compounds effected on the extraction method and condition of extraction.

  15. Arduino-based automation of a DNA extraction system.

    Science.gov (United States)

    Kim, Kyung-Won; Lee, Mi-So; Ryu, Mun-Ho; Kim, Jong-Won

    2015-01-01

    There have been many studies to detect infectious diseases with the molecular genetic method. This study presents an automation process for a DNA extraction system based on microfluidics and magnetic bead, which is part of a portable molecular genetic test system. This DNA extraction system consists of a cartridge with chambers, syringes, four linear stepper actuators, and a rotary stepper actuator. The actuators provide a sequence of steps in the DNA extraction process, such as transporting, mixing, and washing for the gene specimen, magnetic bead, and reagent solutions. The proposed automation system consists of a PC-based host application and an Arduino-based controller. The host application compiles a G code sequence file and interfaces with the controller to execute the compiled sequence. The controller executes stepper motor axis motion, time delay, and input-output manipulation. It drives the stepper motor with an open library, which provides a smooth linear acceleration profile. The controller also provides a homing sequence to establish the motor's reference position, and hard limit checking to prevent any over-travelling. The proposed system was implemented and its functionality was investigated, especially regarding positioning accuracy and velocity profile.

  16. An Efficient Extraction Method for Fragrant Volatiles from Jasminum sambac (L.) Ait.

    Science.gov (United States)

    Ye, Qiuping; Jin, Xinyi; Zhu, Xinliang; Lin, Tongxiang; Hao, Zhilong; Yang, Qian

    2015-01-01

    The sweet smell of aroma of Jasminum sambac (L.) Ait. is releasing while the flowers are blooming. Although components of volatile oil have been extensively studied, there are problematic issues, such as low efficiency of yield, flavour distortion. Here, the subcritical fluid extraction (SFE) was performed to extract fragrant volatiles from activated carbon that had absorbed the aroma of jasmine flowers. This novel method could effectively obtain main aromatic compounds with quality significantly better than solvent extraction (SE). Based on the analysis data with response surface methodology (RSM), we optimized the extraction conditions which consisted of a temperature of 44°C, a solvent-to-material ratio of 3.5:1, and an extraction time of 53 min. Under these conditions, the extraction yield was 4.91%. Furthermore, the key jasmine essence oil components, benzyl acetate and linalool, increase 7 fold and 2 fold respectively which lead to strong typical smell of the jasmine oil. The new method can reduce spicy components which lead to the essential oils smelling sweeter. Thus, the quality of the jasmine essence oil was dramatically improved and yields based on the key component increased dramatically. Our results provide a new effective technique for extracting fragrant volatiles from jasmine flowers.

  17. 基于Web评论的用户个人信息提取方法研究%STUDY ON WEB REVIEW TEXT COMMENT BASED USERS' PERSONAL INFORMATION EXTRACTION METHOD

    Institute of Scientific and Technical Information of China (English)

    邱云飞; 王雪; 刘大有; 邵良杉

    2012-01-01

    企业收集和获取用户个人信息是其对用户行为进行分析以制定合理营销决策的前提.注意到当前,由于互联网的高度发展和普及,消费用户往往在Web上以评论文本的形式分享其消费习惯、消费偏好和消费体验,这些海量的评论文本中蕴含着极具价值的信息,为用户个人信息的收集提供良好的资源.针对传统企业收集用户个人信息的方法主要以人工为主导,自动化水平较低的问题,提出一种基于Web挖掘技术以网上评论文本为挖掘对象,对用户个人信息进行自动提取以自动分析用户行为的改进方法.企业可以通过此改进的用户个人信息提取方法对用户行为进行分析以自动获取消费用户对产品的反馈意见并制定有针对性的营销策略.%It is a premise for an enterprise to make a proper marketing decision based on user behaviour analysis to gather and obtain users' personal information. It is noticed that, with the rapid development and population of the Internet, users usually share their consuming habits, preferences and experiences in the form of Web review text comments. There is highly valuable information buried in the vast amount text comments that provides excellent resources for users' personal information collection. With respect to the traditional method of gathering users' personal information which focuses on manual operation and is poor at automation, an improved method, which is based on Web mining technology that takes online text comments as mining objects to automatically extract users ' personal information in order to automatically analyse user behaviours, is proposed. Enterprises can acquire customers' feedbacks on products automatically by analyzing users' behaviours via the improved users' personal information extraction method in order to make accurate marketing strategies. ?

  18. Method of extracting coal from a coal refuse pile

    Science.gov (United States)

    Yavorsky, Paul M.

    1991-01-01

    A method of extracting coal from a coal refuse pile comprises soaking the coal refuse pile with an aqueous alkali solution and distributing an oxygen-containing gas throughout the coal refuse pile for a time period sufficient to effect oxidation of coal contained in the coal refuse pile. The method further comprises leaching the coal refuse pile with an aqueous alkali solution to solubilize and extract the oxidized coal as alkali salts of humic acids and collecting the resulting solution containing the alkali salts of humic acids. Calcium hydroxide may be added to the solution of alkali salts of humic acid to form precipitated humates useable as a low-ash, low-sulfur solid fuel.

  19. A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction

    OpenAIRE

    2016-01-01

    The state-of-the-art methods for protein-protein interaction (PPI) extraction are primarily based on kernel methods, and their performances strongly depend on the handcraft features. In this paper, we tackle PPI extraction by using convolutional neural networks (CNN) and propose a shortest dependency path based CNN (sdpCNN) model. The proposed method (1) only takes the sdp and word embedding as input and (2) could avoid bias from feature selection by using CNN. We performed experiments on sta...

  20. Music snippet extraction via melody-based repeated pattern discovery