WorldWideScience

Sample records for classification project anechoic

  1. LLNL heart valve condition classification project anechoic testing results at the TRANSDEC evaluation facility

    Energy Technology Data Exchange (ETDEWEB)

    Candy, J V

    1999-10-31

    This report first briefly outlines the procedures and support/activation fixture developed at LLNL to perform the heart valve tests in an anechoic-like tank at the US Navy Transducer Evaluation Facility (TransDec) located in San Diego, CA. Next they discuss the basic experiments performed and the corresponding experimental plan employed to gather meaningful data systematically. The signal processing required to extract the desired information is briefly developed along with some of the data. Finally, they show the results of the individual runs for each valve, point out any of the meaningful features and summaries.

  2. Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment

    Directory of Open Access Journals (Sweden)

    Radoi Emanuel

    2006-01-01

    Full Text Available The problem of the automatic classification of superresolution ISAR images is addressed in the paper. We describe an anechoic chamber experiment involving ten-scale-reduced aircraft models. The radar images of these targets are reconstructed using MUSIC-2D (multiple signal classification method coupled with two additional processing steps: phase unwrapping and symmetry enhancement. A feature vector is then proposed including Fourier descriptors and moment invariants, which are calculated from the target shape and the scattering center distribution extracted from each reconstructed image. The classification is finally performed by a new self-organizing neural network called SART (supervised ART, which is compared to two standard classifiers, MLP (multilayer perceptron and fuzzy KNN ( nearest neighbors. While the classification accuracy is similar, SART is shown to outperform the two other classifiers in terms of training speed and classification speed, especially for large databases. It is also easier to use since it does not require any input parameter related to its structure.

  3. Directed Energy Anechoic Chamber

    Data.gov (United States)

    Federal Laboratory Consortium — The Directed Energy Anechoic Chamber comprises a power anechoic chamber and one transverse electromagnetic cell for characterizing radiofrequency (RF) responses of...

  4. Design and implementation aspects of a small anechoic room and sound-actuation system

    OpenAIRE

    García Rodríguez, Joel

    2011-01-01

    Looking for future projects, the possibility to have optimum conditions to perform microphone tests and any noise measurements of different small devices which will be constructed in the university, the need to construct a anechoic chamber was considered, so in this thesis a research about anechoic chambers was made. An acoustic anechoic chamber is a shielded room designed for performing sound measurements under conditions close to free space. Due to the difficulties that might entail t...

  5. Design of a Fully Anechoic Chamber

    OpenAIRE

    Rusz, Roman

    2015-01-01

    This thesis deals with fully anechoic chamber design. The main aim of this thesis is to design fully anechoic chamber according to acoustics laws and customers (Honeywell’s) requirements. The fully anechoic chamber will be used for measuring sound and vibration quantities. This work is divided into two main parts. The first part deals with the general anechoic chamber theory and all its related design aspects. The second part, practical part, focus on specific design according to requirements...

  6. Projection Classification Based Iterative Algorithm

    Science.gov (United States)

    Zhang, Ruiqiu; Li, Chen; Gao, Wenhua

    2015-05-01

    Iterative algorithm has good performance as it does not need complete projection data in 3D image reconstruction area. It is possible to be applied in BGA based solder joints inspection but with low convergence speed which usually acts with x-ray Laminography that has a worse reconstruction image compared to the former one. This paper explores to apply one projection classification based method which tries to separate the object to three parts, i.e. solute, solution and air, and suppose that the reconstruction speed decrease from solution to two other parts on both side lineally. And then SART and CAV algorithms are improved under the proposed idea. Simulation experiment result with incomplete projection images indicates the fast convergence speed of the improved iterative algorithms and the effectiveness of the proposed method. Less the projection images, more the superiority is also founded.

  7. RADAR Anechoic Chamber/RCS Measurements Lab

    Data.gov (United States)

    Federal Laboratory Consortium — The RF Anechoic Chamber is 56 feet long by 12 feet high by 13.5 feet wide, with an adjoining electronic computer control room. A double door entrance at one end of...

  8. NRAO RF Anechoic Chamber & Antenna Range

    Data.gov (United States)

    Federal Laboratory Consortium — A shielded anechoic chamber measuring 15 by 15 by 37 feet is located in the Jansky Laboratory at Green Bank. This chamber has been outfitted as a far-field antenna...

  9. Almond test body. [for microwave anechoic chambers

    Science.gov (United States)

    Dominek, Allen K. (Inventor); Wood, Richard M. (Inventor); Gilreath, Melvin C. (Inventor)

    1989-01-01

    The invention is an almond shaped test body for use in measuring the performance characteristics of microwave anechoic chambers and for use as a support for components undergoing radar cross-section measurements. The novel aspect of this invention is its shape, which produces a large dynamic scattered field over large angular regions making the almond valuable for verifying the performance of microwave anechoic chambers. As a component mount, the almond exhibits a low return that does not perturb the measurement of the component and it simulates the backscatter characteristics of the component as if over an infinite ground plane.

  10. An Extension of the Behavioral Classification Project Upward to Adults.

    Science.gov (United States)

    Marullo, Sam, Jr.; Dreger, Ralph Mason

    For two decades the Behavioral Classification Project (BCP) has been developing instruments of a behavioral nature for the classification of emotional disorders and the classification of persons with specified patterns of emotional disorders. The BCP has four subprojects: the Pre-school Behavioral Classification Project (PBCP), the Children's…

  11. Classification Project in CS5604, Spring 2016

    OpenAIRE

    Bock, Matthew; Cantrell, Michael; Shahin, Hossameldin

    2016-01-01

    The Classification team submission contains the following: 1- Final Technical Report 2- Final Presentation. 3- Zip file containing project source code and data in the team’s GitHub repository 4- Zip file containing final report LaTeX project (To build this report from scratch follow the instructions in the README file. Or you can import the zip file directly to www.overleaf.com and it will be compiled online.) In the grand scheme of a large Information Retrieval project, the...

  12. Object classification using local subspace projection

    Science.gov (United States)

    Nealy, Jennifer; Muise, Robert

    2011-06-01

    We consider the problem of object classification from image data. Significant challenges are presented when objects can be imaged from different view angles and have different distortions. For example, a vehicle will appear completely different depending on the viewing angle of the sensor but must still be classified as the same vehicle. In regards to face recognition, a person may have a variety of facial expressions and a pattern recognition algorithm would need to account for these distortions. Traditional algorithms such as PCA filters are linear in nature and cannot account for the underlying non-linear structure which characterizes an object. We examine nonlinear manifold techniques applied to the pattern recognition problem. One mathematical construct receiving significant research attention is diffusion maps, whereby the underlying training data are remapped so that Euclidean distance in the mapped data is equivalent to the manifold distance of the original dataset. This technique has been used successfully for applications such as data organization, noise filtering, and anomaly detection with only limited experiments with object classification. For very large datasets (size N), pattern classification with diffusion maps becomes rather onerous as there is a requirement for the eigenvectors of an NxN matrix. We characterize the performance of a 40 person facial recognition problem with standard K-NN classifier, a diffusion distance classifier, and standard PCA. We then develop a local subspace projection algorithm which approximates the diffusion distance without the prohibitive computations and shows comparable classification performance.

  13. RF Anechoic Chambers, Tri-Service Research Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — In collaboration with the Navy, there are 12 RF Anechoic and static free exposure chambers located at TSRL. These chambers cover the majority of the RF spectrum and...

  14. Classification of complex simple Lie algebras via projective geometry geometry

    OpenAIRE

    Landsberg, J. M.; Manivel, Laurent

    1999-01-01

    We present a new proof of the classification of complex simple Lie algebras via the projective geometry of homogeneous varieties. Our proof proceeds by constructing homogeneous varieties using the ideals of the secant and tangential varieties of homogeneous varieties already constructed. Our algorithms make no reference to root systems. Our proofs use properties of root systems, but not their classification.

  15. The Preschool Behavioral Classification Project: A Follow-Up Report

    Science.gov (United States)

    Baker, Robert P.; Dreger, Ralph Mason

    1977-01-01

    Described in the follow up report of the Preschool Behavioral Classification Project (PBCP) is the development of the PBCP instrument, a measure designed to evaluate dimensions of behavior exhibited by children with emotional difficulties. (SBH)

  16. The Children's Behavioral Classification Project: An Interim Report

    Science.gov (United States)

    Dreger, Ralph Mason

    1977-01-01

    Described in the interim report of the Children's Behavioral Classification Project (CBCP) is the CBCP instrument, a duplicated list of 274 behavioral items and three demographic items which provides a profile of the emotionally disordered child based on observations by the parent or parent-surrogate. (SBH)

  17. Risk Classification Model for Design and Build Projects

    OpenAIRE

    O. E. Ogunsanmi; O. A. Salako; O. M. Ajayi

    2011-01-01

    The purpose of this paper is to investigate if the various risk sources in Design and Build projects can be classified into three risk groups of cost, time and quality using the discriminant analysis technique. Literature search was undertaken to review issues of risk sources, classification of the identified risks into a risk structure, management of risks and effects of risks all on Design and Build projects as well as concepts of discriminant analysis as a statistical technique. This liter...

  18. Research on quality assurance classification methodology for domestic AP1000 nuclear power projects

    International Nuclear Information System (INIS)

    To meet the quality assurance classification requirements of domestic nuclear safety codes and standards, this paper analyzes the quality assurance classification methodology of domestic AP1000 nuclear power projects at present, and proposes the quality assurance classification methodology for subsequent AP1000 nuclear power projects. (authors)

  19. Experimental Anechoic Chamber Measurements of a Target Near an Interface

    OpenAIRE

    Marquart, Nicolas Pascal

    2006-01-01

    Abstract-The backscattered field of an illuminated sphere with diameter Ø = 30.5 cm above a perfect conducting plate is measured in an anechoic chamber at different heights for a varying incidence angle φ in the range 5° to 75°. A high frequency field λ « Ø is transmitted, so that two significant transitions from lit to shadow regions are given over the entire incidence angle range for the considered ray field. The polarimetric behavior of the measured scattering matrix [S] is investigated by...

  20. Method for material characterization in a non-anechoic environment

    Science.gov (United States)

    Pometcu, L.; Sharaiha, A.; Benzerga, R.; Tamas, R. D.; Pouliguen, P.

    2016-04-01

    This paper presents a characterization method for extracting the reflection coefficient of materials and the real part of their permittivity. The characterization is performed in a real environment, as opposed to the classical measurement methods that require an anechoic chamber. In order to reduce the effects of the multipath propagation, a free space bistatic measurement was performed at different distances material-antennas in far field. By using a Teflon sample and a commercial absorbing material sample, measurements have been performed in order to validate the characterization technique.

  1. Multiview Discriminative Geometry Preserving Projection for Image Classification

    Directory of Open Access Journals (Sweden)

    Ziqiang Wang

    2014-01-01

    Full Text Available In many image classification applications, it is common to extract multiple visual features from different views to describe an image. Since different visual features have their own specific statistical properties and discriminative powers for image classification, the conventional solution for multiple view data is to concatenate these feature vectors as a new feature vector. However, this simple concatenation strategy not only ignores the complementary nature of different views, but also ends up with “curse of dimensionality.” To address this problem, we propose a novel multiview subspace learning algorithm in this paper, named multiview discriminative geometry preserving projection (MDGPP for feature extraction and classification. MDGPP can not only preserve the intraclass geometry and interclass discrimination information under a single view, but also explore the complementary property of different views to obtain a low-dimensional optimal consensus embedding by using an alternating-optimization-based iterative algorithm. Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm.

  2. Compressive image acquisition and classification via secant projections

    International Nuclear Information System (INIS)

    Given its importance in a wide variety of machine vision applications, extending high-speed object detection and recognition beyond the visible spectrum in a cost-effective manner presents a significant technological challenge. As a step in this direction, we developed a novel approach for target image classification using a compressive sensing architecture. Here we report the first implementation of this approach utilizing the compressive single-pixel camera system. The core of our approach rests on the design of new measurement patterns, or projections, that are tuned to objects of interest. Our measurement patterns are based on the notion of secant projections of image classes that are constructed using two different approaches. Both approaches show at least a twofold improvement in terms of the number of measurements over the conventional, data-oblivious compressive matched filter. As more noise is added to the image, the second method proves to be the most robust. (paper)

  3. Processing of Prosthetic Heart Valve Sounds from Anechoic Tank Measurements

    Energy Technology Data Exchange (ETDEWEB)

    Candy, J V; Meyer, A W

    2001-03-20

    People with serious cardiac problems have had their life span extended with the development of the prosthetic heart valve. However, the valves operate continuously at approximately 39 million cycles per year and are therefore subject to structural failures either by faulty design or material fatigue. The development of a non-invasive technique using an acoustic contact microphone and sophisticated signal processing techniques has been proposed and demonstrated on limited data sets. In this paper we discuss an extension of the techniques to perform the heart valve tests in an anechoic like. Here the objective is to extract a ''pure'' sound or equivalently the acoustical vibration response of the prosthetic valves in a quiet environment. The goal is to demonstrate that there clearly exist differences between values which have a specific mechanical defect known as single leg separation (SLS) and non-defective valves known as intact (INT). We discuss the signal processing and results of anechoic acoustic measurements on 50 prosthetic valves in the tank. Finally, we show the results of the individual runs for each valve, point out any of the meaningful features that could be used to distinguish the SLS from INT and summarize the experiments.

  4. Typology, classification and systematization of innovative projects and initiatives in the company

    Directory of Open Access Journals (Sweden)

    Baklanova Julia O.

    2012-04-01

    Full Text Available The author presents a comparison of definitions of typology, classification and systematization, and treats them as an example of innovative projects and initiatives of the company. The basis of typology and classification laid methodical Benko K., Mc Farlan. In order to obtain a more accurate result it is necessary to integrate the task typology, classification and systematization.

  5. Electron Neutrino Classification in Liquid Argon Time Projection Chamber Detector

    CERN Document Server

    Płoński, Piotr; Sulej, Robert; Zaremba, Krzysztof

    2015-01-01

    Neutrinos are one of the least known elementary particles. The detection of neutrinos is an extremely difficult task since they are affected only by weak sub-atomic force or gravity. Therefore large detectors are constructed to reveal neutrino's properties. Among them the Liquid Argon Time Projection Chamber (LAr-TPC) detectors provide excellent imaging and particle identification ability for studying neutrinos. The computerized methods for automatic reconstruction and identification of particles are needed to fully exploit the potential of the LAr-TPC technique. Herein, the novel method for electron neutrino classification is presented. The method constructs a feature descriptor from images of observed event. It characterizes the signal distribution propagated from vertex of interest, where the particle interacts with the detector medium. The classifier is learned with a constructed feature descriptor to decide whether the images represent the electron neutrino or cascade produced by photons. The proposed ap...

  6. Analysis of absorption performances of anechoic layers with steel plate backing.

    Science.gov (United States)

    Meng, Hao; Wen, Jihong; Zhao, Honggang; Lv, Linmei; Wen, Xisen

    2012-07-01

    Rubber layers with air-filled cavities or local resonance scatters can be used as anechoic coatings. A lot of researches have focused on the absorption mechanism of the anechoic coatings. As the anechoic coatings are bonded to the hull of submarine, the vibration of the hull should not be neglected when the analysis of the absorption characters is carried out. Therefore, it is more reasonable to treat the anechoic coating and the backing as a whole when the acoustic performance is analyzed. Considering the effects of the steel plate backing, the sound absorption performances on different models of anechoic coatings are investigated in this paper. The Finite Element Method is used to illustrate the vibrational behaviors of the anechoic coatings under the steel backings by which the displacement contours is obtained for analysis. The theoretical results show that an absorption peak is induced by the resonance of the steel slab and rubber layer. At the frequency of this absorption peak, the steel plate and the coating vibrates longitudinally like a mass-spring system in which the steel slab serves for mass and the coating layer is the spring. To illuminate the effects of the steel slab backing on the acoustic absorption, the thicknesses of the steel slab and the anechoic layer are discussed. Finally, an experiment is performed and the results show a good agreement with the theoretical analysis. PMID:22779456

  7. On the Projection Matrices Influence in the Classification of Compressed Sensed ECG Signals

    Directory of Open Access Journals (Sweden)

    Monica Fira

    2012-08-01

    Full Text Available In this paper the classification results of compressed sensed ECG signals based on various types of projection matrices is investigated. The compressed signals are classified using the KNN (K-Nearest Neighbour algorithm. A comparative analysis is made with respect to the projection matrices used, as well as of the results obtained in the case of the original (uncompressed signals for various compression ratios. For Bernoulli projection matrices it has been observed that the classification results for compressed cardiac cycles are comparable to those obtained for uncompressed cardiac cycles. Thus, for normal uncompressed cardiac cycles a classification ratio of 91.33% was obtained, while for the signals compressed with a Bernoulli matrix, up to a compression ratio of 15:1 classification rates of approximately 93% were obtained. Significant improvements of classification in the compressed space take place up to a compression ratio of 30:1.

  8. A Continuously Updated, Global Land Classification Map Project

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose to demonstrate a fully automatic capability for generating a global, high resolution (30 m) land classification map, with continuous updates from...

  9. KACST Arabic Text Classification Project: Overview and Preliminary Results

    OpenAIRE

    Althubaity, A.; Almuhareb, A.; Alharbi, S.; Al-Rajeh, A.; Khorsheed , M.

    2008-01-01

    Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge that can be exploited once the correct intelligent tools have been identified and applied. For example, text mining may help with text classification and categorization. Text classification aims to automatically assign text to a predefined ca...

  10. 23 CFR 646.210 - Classification of projects and railroad share of the cost.

    Science.gov (United States)

    2010-04-01

    ... ENGINEERING AND TRAFFIC OPERATIONS RAILROADS Railroad-Highway Projects § 646.210 Classification of projects...) Pursuant to 23 U.S.C. 130(b), and 49 CFR 1.48: (1) Projects for grade crossing improvements are deemed to...) shall be based on the costs for preliminary engineering, right-of-way and construction within the...

  11. Classification

    Science.gov (United States)

    Clary, Renee; Wandersee, James

    2013-01-01

    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  12. A Multi-Criteria Prediction model for project Risk classifications

    OpenAIRE

    Laryea, Rueben

    2013-01-01

    Project distress predictions are essential in project management. Developing appropriate methods to classify projects and building prediction models for multicriteria decisions requires empirical methods to minimise misclassification errors. This paper carries out multicriteria analysis to classify project risks using a preference disaggregation method, UTilit.

  13. THE ILAC-PROJECT: SUPPORTING ANCIENT COIN CLASSIFICATION BY MEANS OF IMAGE ANALYSIS

    OpenAIRE

    Kavelar, A.; Zambanini, S.; Kampel, M.; Vondrovec, K.; Siegl, K.

    2013-01-01

    This paper presents the ILAC project, which aims at the development of an automated image-based classification system for ancient Roman Republican coins. The benefits of such a system are manifold: operating at the suture between computer vision and numismatics, ILAC can reduce the day-to-day workload of numismatists by assisting them in classification tasks and providing a preselection of suitable coin classes. This is especially helpful for large coin hoard findings comprising seve...

  14. A Multi-Lead ECG Classification Based on Random Projection Features

    OpenAIRE

    Bogdanova Vandergheynst, Iva; Vallejos, Rincon; Javier, Francisco; Atienza Alonso, David

    2012-01-01

    This paper presents a novel method for classification of multilead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro-fuzzy classifier. Such a model can be easily implemented on portable systems for practical applications in both health monitoring and diagnostic purposes. Moreover, the RP implementation on portable systems is very challenging featuring both...

  15. A Multi-Lead Ecg Classification Based On Random Projection Features

    OpenAIRE

    Bogdanova, Iva; Rincon, Francisco; Atienza, David

    2012-01-01

    This paper presents a novel method for classification of multi-lead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro-fuzzy classifier. Such a model can be easily implemented on portable systems for practical applications in both health monitoring and diagnostic purposes. Moreover, the RP implementation on portable systems is very challenging featuring bot...

  16. Aeroacoustic Study of a Model-Scale Landing Gear in a Semi-Anechoic Wind Tunnel

    OpenAIRE

    Remillieux, Marcel Christophe

    2007-01-01

    An aeroacoustic study was conducted on a 26%-scale Boeing 777 main landing gear in the Virginia Tech (VT) Anechoic Stability Wind Tunnel. The VT Anechoic Stability Wind Tunnel allowed noise measurements to be carried out using both a 63-elements microphone phased array and a linear array of 15 microphones. The noise sources were identified from the flyover view under various flow speeds and the phased array positioned in both the near and far-field. The directivity pattern of the landing ge...

  17. On Probe Weighting for MIMO OTA testing in Anechoic Chamber Setups

    DEFF Research Database (Denmark)

    Fan, Wei; Kyösti, Pekka; Nuutinen, Jukka-Pekka; Nielsen, Jesper Ødum; Pedersen, Gert F.

    The multi-probe anechoic chamber method is promising for OTA testing. The reason can be attributed to its potential for enabling evaluating MIMO terminals in realistic environments. The focus of the paper is on investigating how to create desired spatial channel models with the multi-probe anechoic...... chamber setups. Simulation results have shown that with the discussed methods, the number of probes and probe power weights determine to which level the spatial characteristics of the target channel models can be accurately approximated. With the optimized weights, better agreement is achieved for all...

  18. Transfer functions of a linear array prototype measured in the ISVR Anechoic Chamber

    OpenAIRE

    Olivieri, Ferdinando

    2016-01-01

    The matrix of transfer functions of a linear array prototype was measured in the ISVR anechoic chamber under free-field conditions. The setup is as follows. The loudspeaker array, mounted on a turntable, and an omni-directional microphone were installed in the anechoic chamber and placed at a reciprocal distance 3 m. The elements of the transfer function matrix were estimated using the so-called H1 estimator from the recordings of the responses between each loudspeaker of the array and the ...

  19. Electromagnetic Radiation (EMR) coupling to complex systems : aperture coupling into canonical cavities in reverberant and anechoic environments and model validation.

    Energy Technology Data Exchange (ETDEWEB)

    Charley, Dawna R.; Higgins, Matthew B.

    2007-12-01

    Mode-stirred chamber and anechoic chamber measurements were made on two sets of canonical test objects (cylindrical and rectangular) with varying numbers of thin slot apertures. The shielding effectiveness was compared to determine the level of correction needed to compensate the mode-stirred data to levels commensurate with anechoic data from the same test object.

  20. Application of Multi-Layered Polyurethane Foams for Flat-Walled Anechoic Linings

    DEFF Research Database (Denmark)

    Xu, J. F.; Buchholz, Jörg; Fricke, Fergus R.

    2006-01-01

    application of multi-layered polyurethane foams as the flat-walled anechoic lining. The investigation includes aspects such as the efficacy of a single layer of material, the minimum number of layers of linings to achieve the minimum overall thickness for low (100Hz), mid (250Hz) and high (500Hz) cut...

  1. Emulating Ray-Tracing Channels in Multi-probe Anechoic Chamber Setups for Virtual Drive Testing

    DEFF Research Database (Denmark)

    Fan, Wei; Llorente, Ines Carton; Kyösti, Pekka;

    2016-01-01

    This paper discusses virtual drive testing (VDT) for multiple-input multiple-output (MIMO) capable terminals in multi-probe anechoic chamber (MPAC) setups. We propose to perform VDT, via reproducing ray tracing (RT) simulated channels with the field synthesis technique. Simulation results...

  2. Securing classification and regulatory approval for deepwater projects: management challenges in a global environment

    Energy Technology Data Exchange (ETDEWEB)

    Feijo, Luiz P.; Burton, Gareth C. [American Bureau of Shipping (ABS), Rio de Janeiro, RJ (Brazil)

    2008-07-01

    As the offshore industry continues to develop and move into increasingly deeper waters, technological boundaries are being pushed to new limits. Along with these advances, the design, fabrication and installation of deepwater oil and gas projects has become an increasingly global endeavor. After providing an overview of the history and role of Classification Societies, this paper reviews the challenges of securing classification and regulatory approval in a global environment. Operational, procedural and technological changes which one Classification Society; the American Bureau of Shipping, known as ABS, has implemented to address these challenges are presented. The result of the changes has been a more customized service aiming at faster and more streamlined classification approval process. (author)

  3. Definition and Classification of the Stakeholders in Land Consolidation Project

    Institute of Scientific and Technical Information of China (English)

    LIU Xiang-dong; GUO Bi-jun; GUO Mao-xuan

    2012-01-01

    Using the methods of questionnaire survey, statistical analysis and multidimensional rating, we define and classify the stakeholders in land consolidation project. 25 kinds of stakeholders are determined, divided into three categories: core stakeholders, including county-level government, county-level land departments, county-level land consolidation center, the rural collective economic organizations, farmers, township government, and the villagers’ committee; middle stakeholders, including central government, the Ministry of Land and Resources, the Ministry of Land and Resources Land Consolidation Center, the provincial land departments, the provincial land consolidation center, the county-level finance departments, the county-level water resources departments, the government supervisory departments, government audit departments, and the public; peripheral stakeholders, including the county-level environmental protection departments, the county-level agricultural departments, supervisory agencies, design agencies, project contractors, equipment suppliers, material suppliers, and the bidding agencies. The project managers should pay attention to the interest appeal of the stakeholders, and adopt different coping strategies.

  4. Definition and Classification of the Stakeholders in Land Consolidation Project

    OpenAIRE

    Liu, Xiang-dong; Guo, Bi-jun; Guo, Mao-xuan

    2012-01-01

    Using the methods of questionnaire survey, statistical analysis and multidimensional rating, we define and classify the stakeholders in land consolidation project. 25 kinds of stakeholders are determined, divided into three categories: core stakeholders, including county-level government, county-level land departments, county-level land consolidation center, the rural collective economic organizations, farmers, township government, and the villagers' committee; middle stakeholders, including ...

  5. Electron Neutrino Classification in Liquid Argon Time Projection Chamber Detector

    OpenAIRE

    Płoński, Piotr; Stefan, Dorota; Sulej, Robert; Zaremba, Krzysztof

    2015-01-01

    Neutrinos are one of the least known elementary particles. The detection of neutrinos is an extremely difficult task since they are affected only by weak sub-atomic force or gravity. Therefore large detectors are constructed to reveal neutrino's properties. Among them the Liquid Argon Time Projection Chamber (LAr-TPC) detectors provide excellent imaging and particle identification ability for studying neutrinos. The computerized methods for automatic reconstruction and identification of parti...

  6. Classification Team Project for IDEAL in CS5604, Spring 2015

    OpenAIRE

    Cui, Xuewen; Tao, Rongrong; Zhang, Ruide

    2015-01-01

    Given the tweets from the instructor and cleaned webpages from the Reducing Noise team, the planned tasks for our group were to find the best: (1) way to extract information that will be used for document representation; (2) feature selection method to construct feature vectors; and (3) way to classify each document into categories, considering the ontology developed in the IDEAL project. We have figured out an information extraction method for document representation, feature selection metho...

  7. Stellar Spectral Classification with Locality Preserving Projections and Support Vector Machine

    Indian Academy of Sciences (India)

    Liu Zhong-bao

    2016-06-01

    With the help of computer tools and algorithms, automaticstellar spectral classification has become an area of current interest. Theprocess of stellar spectral classification mainly includes two steps: dimensionreduction and classification. As a popular dimensionality reductiontechnique, Principal Component Analysis (PCA) is widely used in stellarspectra classification. Another dimensionality reduction technique, LocalityPreserving Projections (LPP) has not been widely used in astronomy.The advantage of LPP is that it can preserve the local structure of thedata after dimensionality reduction. In view of this, we investigate how toapply LPP+SVM in classifying the stellar spectral subclasses. In the comparativeexperiment, the performance of LPP is compared with PCA. Thestellar spectral classification process is composed of the following steps.Firstly, PCA and LPP are respectively applied to reduce the dimensionof spectra data. Then, Support Vector Machine (SVM) is used to classifythe 4 subclasses of K-type and 3 subclasses of F-type spectra fromSloan Digital Sky Survey (SDSS). Lastly, the performance of LPP+SVMis compared with that of PCA+SVM in stellar spectral classification, andwe found that LPP does better than PCA.

  8. Stellar Spectral Classification with Locality Preserving Projections and Support Vector Machine

    Science.gov (United States)

    Zhong-bao, Liu

    2016-06-01

    With the help of computer tools and algorithms, automatic stellar spectral classification has become an area of current interest. The process of stellar spectral classification mainly includes two steps: dimension reduction and classification. As a popular dimensionality reduction technique, Principal Component Analysis (PCA) is widely used in stellar spectra classification. Another dimensionality reduction technique, Locality Preserving Projections (LPP) has not been widely used in astronomy. The advantage of LPP is that it can preserve the local structure of the data after dimensionality reduction. In view of this, we investigate how to apply LPP+SVM in classifying the stellar spectral subclasses. In the comparative experiment, the performance of LPP is compared with PCA. The stellar spectral classification process is composed of the following steps. Firstly, PCA and LPP are respectively applied to reduce the dimension of spectra data. Then, Support Vector Machine (SVM) is used to classify the 4 subclasses of K-type and 3 subclasses of F-type spectra from Sloan Digital Sky Survey (SDSS). Lastly, the performance of LPP+SVM is compared with that of PCA+SVM in stellar spectral classification, and we found that LPP does better than PCA.

  9. A two dimensional finite difference time domain analysis of the quiet zone fields of an anechoic chamber

    Science.gov (United States)

    Ryan, Deirdre A.; Luebbers, Raymond J.; Nguyen, Truong X.; Kunz, Karl S.; Steich, David J.

    1992-01-01

    Prediction of anechoic chamber performance is a difficult problem. Electromagnetic anechoic chambers exist for a wide range of frequencies but are typically very large when measured in wavelengths. Three dimensional finite difference time domain (FDTD) modeling of anechoic chambers is possible with current computers but at frequencies lower than most chamber design frequencies. However, two dimensional FDTD (2D-FTD) modeling enables much greater detail at higher frequencies and offers significant insight into compact anechoic chamber design and performance. A major subsystem of an anechoic chamber for which computational electromagnetic analyses exist is the reflector. First, an analysis of the quiet zone fields of a low frequency anechoic chamber produced by a uniform source and a reflector in two dimensions using the FDTD method is presented. The 2D-FDTD results are compared with results from a three dimensional corrected physical optics calculation and show good agreement. Next, a directional source is substituted for the uniform radiator. Finally, a two dimensional anechoic chamber geometry, including absorbing materials, is considered, and the 2D-FDTD results for these geometries appear reasonable.

  10. A classification of the projective lines over small rings

    Czech Academy of Sciences Publication Activity Database

    Saniga, M.; Planat, M.; Kibler, M. R.; Pracna, Petr

    2007-01-01

    Roč. 33, č. 4 (2007), s. 1095-1102. ISSN 0960-0779 R&D Projects: GA AV ČR 1ET400400410 Grant ostatní: GA SR(SK) 2/6070/26; GA SR(SK) 51-012704; ECO-NET(FR) 12651NJ Institutional research plan: CEZ:AV0Z40400503 Source of funding: R - rámcový projekt EK ; R - rámcový projekt EK ; R - rámcový projekt EK Keywords : string space-time * e-infinity theory Subject RIV: CF - Physical ; Theoretical Chemistry Impact factor: 3.025, year: 2007

  11. Ecological land classification and terrestrial environment effects assessment for the Port Hope and Port Granby projects

    International Nuclear Information System (INIS)

    The Ecological Land Classification system was developed to provide a standardized methodology for describing plant communities and wildlife habitat in southern Ontario. The method employs a hierarchical classification system. It can be applied at different levels of accuracy, i.e., at regional, sub-regional, and local scales with an increasing differentiation of vegetation communities. The standardization of the approach permits a comparison of vegetation communities from different sites and an evaluation of the rarity of these communities within the province. Further, the approach facilitates the monitoring of changes in terrestrial communities with time. These characteristics make Ecological Land Classification mapping a useful tool for environmental assessment such as the ones undertaken for the Port Hope and Port Granby Long-Term Waste Management Projects, which were conducted pursuant to the Canadian Environmental Assessment Act 1992. In the context of the Environmental Assessment for the Port Hope and Port Granby Projects, an Ecological Land Classification study was undertaken to characterize the terrestrial environment at regional, local and site levels. Vegetation patches (polygons) were delineated on the basis of air photo interpretation. The individual polygons were then visited for detailed inventory and classified to the most detailed level; that is to the vegetation type. Plant communities were then compared with those listed in the Ontario Natural Heritage Information Centre database to determine their rarity and to determine where they rank as Valued Ecosystem Components. Ecological Land Classification mapping results were used in the assessment of effects to Valued Ecosystem Components. A spatial analysis of the digitized vegetation maps showed the geographic extent of habitat losses and impairments due to various project works and activities. Landscape rehabilitation strategies and concepts were subsequently developed based on Ecological Land

  12. Classification of smooth structures on a homotopy complex projective space

    Indian Academy of Sciences (India)

    Ramesh Kasilingam

    2016-05-01

    We classify, up to diffeomorphism, all closed smooth manifolds homeomorphic to the complex projective $n$-space ${\\mathbb C}{\\bf P}^n$, where $n = 3$ and 4. Let $M^{2n}$ be a closed smooth $2n$-manifold homotopy equivalent to ${\\mathbb C}{\\bf P}^n$. We show that, up to diffeomorphism, $M^6$ has a unique differentiable structure and $M^8$ has at most two distinct differentiable structures. We also show that, up to concordance, there exist at least two distinct differentiable structures on a finite sheeted cover $N^2n$ of ${\\mathbb C}{\\bf P}^n$ for = 4, 7 or 8 and six distinct differentiable structures on $N^{10}$.

  13. Research on evaluating water resource resilience based on projection pursuit classification model

    Science.gov (United States)

    Liu, Dong; Zhao, Dan; Liang, Xu; Wu, Qiuchen

    2016-03-01

    Water is a fundamental natural resource while agriculture water guarantees the grain output, which shows that the utilization and management of water resource have a significant practical meaning. Regional agricultural water resource system features with unpredictable, self-organization, and non-linear which lays a certain difficulty on the evaluation of regional agriculture water resource resilience. The current research on water resource resilience remains to focus on qualitative analysis and the quantitative analysis is still in the primary stage, thus, according to the above issues, projection pursuit classification model is brought forward. With the help of artificial fish-swarm algorithm (AFSA), it optimizes the projection index function, seeks for the optimal projection direction, and improves AFSA with the application of self-adaptive artificial fish step and crowding factor. Taking Hongxinglong Administration of Heilongjiang as the research base and on the basis of improving AFSA, it established the evaluation of projection pursuit classification model to agriculture water resource system resilience besides the proceeding analysis of projection pursuit classification model on accelerating genetic algorithm. The research shows that the water resource resilience of Hongxinglong is the best than Raohe Farm, and the last 597 Farm. And the further analysis shows that the key driving factors influencing agricultural water resource resilience are precipitation and agriculture water consumption. The research result reveals the restoring situation of the local water resource system, providing foundation for agriculture water resource management.

  14. [Eco-value level classification model of forest ecosystem based on modified projection pursuit technique].

    Science.gov (United States)

    Wu, Chengzhen; Hong, Wei; Hong, Tao

    2006-03-01

    To optimize the projection function and direction of projection pursuit technique, predigest its realization process, and overcome the shortcomings in long time calculation and in the difficulty of optimizing projection direction and computer programming, this paper presented a modified simplex method (MSM), and based on it, brought forward the eco-value level classification model (EVLCM) of forest ecosystem, which could integrate the multidimensional classification index into one-dimensional projection value, with high projection value denoting high ecosystem services value. Examples of forest ecosystem could be reasonably classified by the new model according to their projection value, suggesting that EVLCM driven directly by samples data of forest ecosystem was simple and feasible, applicable, and maneuverable. The calculating time and value of projection function were 34% and 143% of those with the traditional projection pursuit technique, respectively. This model could be applied extensively to classify and estimate all kinds of non-linear and multidimensional data in ecology, biology, and regional sustainable development. PMID:16724723

  15. Subjective evaluation of auralizations created from multi-channel anechoic recordings of a talker in motion

    Science.gov (United States)

    Vigeant, Michelle C.; Wang, Lily M.

    2005-04-01

    A high degree of speech intelligibility is very important in educational environments. When designing such spaces, like classrooms, auralizations can be used to subjectively assess the degree of speech intelligibility and clarity. Auralizations are most commonly made by convolving the impulse response (IR) of an omni-directional source with a single channel anechoic speech recording. This paper explores the idea of using multi-channel recordings to create the auralizations, using a female talker in motion. An omni-directional source is split into quadrants and the IR is calculated for each section. These IR's are convolved with the appropriate channel of the anechoic recording and then the four auralizations are mixed to create one final auralization. The auralizations were made using four-channel anechoic recordings of a person walking on a platform while talking. Subjective tests were conducted to determine the ease with which subjects could identify the direction of the movement of the source in rooms with varying amounts of absorption. This method can be used to create more realistic classroom auralizations, as teachers typically move around the room as they teach. [Work supported by the National Science Foundation.

  16. Final hazard classification and auditable safety analysis for the 105-C Reactor Interim Safe Storage Project

    International Nuclear Information System (INIS)

    This document summarizes the inventories of radioactive and hazardous materials present in the 105-C Reactor Facility and the operations associated with the Interim Safe Storage Project which includes decontamination and demolition and interim safe storage of the remaining facility. This document also establishes a final hazard classification and verifies that appropriate and adequate safety functions and controls are in place to reduce or mitigate the risk associated with those operations

  17. Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection

    OpenAIRE

    Marian POPESCU; Dugan, Peter J.; Pourhomayoun, Mohammad; Risch, Denise; Harold W. Lewis III; Clark, Christopher W.

    2013-01-01

    The following work outlines an approach for automatic detection and recognition of periodic pulse train signals using a multi-stage process based on spectrogram edge detection, energy projection and classification. The method has been implemented to automatically detect and recognize pulse train songs of minke whales. While the long term goal of this work is to properly identify and detect minke songs from large multi-year datasets, this effort was developed using sounds off the coast of Mass...

  18. Support Vector Machine-Based Human Behavior Classification in Crowd through Projection and Star Skeletonization

    Directory of Open Access Journals (Sweden)

    Yogameena, B.

    2010-01-01

    Full Text Available Problem statement: Detection of individual’s abnormal human behaviors in the crowd has become a critical problem because in the event of terror strikes. This study presented a real-time video surveillance system which classifies normal and abnormal behaviors in crowds. The aim of this research was to provide a system which can aid in monitoring crowded urban environments. Approach: The proposed behaviour classification was through projection which separated individuals and using star skeletonization the features like body posture and the cyclic motion cues were obtained. Using these cues the Support Vector Machine (SVM classified the normal and abnormal behaviors of human. Results: Experimental results demonstrated the method proposed was robust and efficient in the classification of normal and abnormal human behaviors. A comparative study of classification accuracy between principal component analysis and Support Vector Machine (SVM classification was also presented. Conclusion: The proposed method classified the behavior such as running people in a crowded environment, bending down movement while most are walking or standing, a person carrying a long bar and a person waving hand in the crowd is classified.

  19. The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets

    Science.gov (United States)

    Howat, I. M.; Negrete, A.; Smith, B. E.

    2014-08-01

    As part of the Greenland Ice Mapping Project (GIMP) we have produced three geospatial data sets for the entire ice sheet and periphery. These are (1) a complete, 15 m resolution image mosaic, (2) ice-covered and ice-free terrain classification masks, also posted to 15 m resolution, and (3) a complete, altimeter-registered digital elevation model posted at 30 m. The image mosaic was created from a combination of Landsat-7 and RADARSAT-1 imagery acquired between 1999 and 2002. Each pixel in the image is stamped with the acquisition date and geo-registration error to facilitate change detection. This mosaic was then used to manually produce complete ice-covered and ice-free land classification masks. Finally, we used satellite altimetry and stereo-photogrammetric digital elevation models (DEMs) to enhance an existing DEM for Greenland, substantially improving resolution and accuracy over the ice margin and periphery.

  20. Subspace projection approaches to classification and visualization of neural network-level encoding patterns.

    Directory of Open Access Journals (Sweden)

    Remus Oşan

    Full Text Available Recent advances in large-scale ensemble recordings allow monitoring of activity patterns of several hundreds of neurons in freely behaving animals. The emergence of such high-dimensional datasets poses challenges for the identification and analysis of dynamical network patterns. While several types of multivariate statistical methods have been used for integrating responses from multiple neurons, their effectiveness in pattern classification and predictive power has not been compared in a direct and systematic manner. Here we systematically employed a series of projection methods, such as Multiple Discriminant Analysis (MDA, Principal Components Analysis (PCA and Artificial Neural Networks (ANN, and compared them with non-projection multivariate statistical methods such as Multivariate Gaussian Distributions (MGD. Our analyses of hippocampal data recorded during episodic memory events and cortical data simulated during face perception or arm movements illustrate how low-dimensional encoding subspaces can reveal the existence of network-level ensemble representations. We show how the use of regularization methods can prevent these statistical methods from over-fitting of training data sets when the trial numbers are much smaller than the number of recorded units. Moreover, we investigated the extent to which the computations implemented by the projection methods reflect the underlying hierarchical properties of the neural populations. Based on their ability to extract the essential features for pattern classification, we conclude that the typical performance ranking of these methods on under-sampled neural data of large dimension is MDA>PCA>ANN>MGD.

  1. The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets

    OpenAIRE

    I. M. Howat; A. Negrete; Smith, B. E.

    2014-01-01

    As part of the Greenland Ice Mapping Project (GIMP) we have produced three geospatial data sets for the entire ice sheet and periphery. These are (1) a complete, 15 m resolution image mosaic, (2) ice-covered and ice-free terrain classification masks, also posted to 15 m resolution, and (3) a complete, altimeter-registered digital elevation model posted at 30 m. The image mosaic was created from a combination of Landsat-7 and RADARSAT-1 imagery acquired between 1999 and 2002....

  2. The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets

    OpenAIRE

    I. M. Howat; A. Negrete; Smith, B. E.

    2014-01-01

    As part of the Greenland Ice-sheet Mapping Project (GIMP) we have produced three geospatial datasets for the entire ice sheet and periphery. These are (1) a complete, 15 m resolution image mosaic, (2) ice-covered and ice-free terrain classification masks, also posted to 15 m resolution and (3) a complete, altimeter-registered Digital Elevation Model posted at 30 m. The image mosaic was created from a combination of Landsat-7 and RADARSAT-1 imagery acquired between 1999 and 2002...

  3. Machine Fault Classification Based on Local Discriminant Bases and Locality Preserving Projections

    Directory of Open Access Journals (Sweden)

    Qingbo He

    2014-01-01

    Full Text Available Machine fault classification is an important task for intelligent identification of the health patterns for a mechanical system being monitored. Effective feature extraction of vibration data is very critical to reliable classification of machine faults with different types and severities. In this paper, a new method is proposed to acquire the sensitive features through a combination of local discriminant bases (LDB and locality preserving projections (LPP. In the method, the LDB is employed to select the optimal wavelet packet (WP nodes that exhibit high discrimination from a redundant WP library of wavelet packet transform (WPT. Considering that the obtained discriminatory features on these selected nodes characterize the class pattern in different sensitivity, the LPP is then applied to address mining inherent class pattern feature embedded in the raw features. The proposed feature extraction method combines the merits of LDB and LPP and extracts the inherent pattern structure embedded in the discriminatory feature values of samples in different classes. Therefore, the proposed feature not only considers the discriminatory features themselves but also considers the dynamic sensitive class pattern structure. The effectiveness of the proposed feature is verified by case studies on vibration data-based classification of bearing fault types and severities.

  4. Microchannel Anechoic Corner for Microparticle Manipulation via Travelling Surface Acoustic Waves

    Science.gov (United States)

    Destgeer, Ghulam; Ha, Byung Hang; Park, Jinsoo; Jung, Jin Ho; Alazzam, Anas; Sung, Hyung Jin

    We present a particle manipulation device composed of a pair of slanted interdigitated transducers (SIDTs) and a polydimethyl-siloxane (PDMS) microfluidic channel. Tunable travelling surface acoustic waves (TSAWs) produced by the SIDTs at desired locations are used to separate polystyrene (PS) microspheres of different diameters. The acoustic radiation force (ARF) acting on PS microspheres is estimated to predict the variable deflection of two distinct diameter microspheres that results in bi-separation of particles (3.2 and 4.8 μm). Interaction of TSAWs with the fluid and propagation of leaky acoustic waves at Rayleigh angle produce an anechoic corner inside the microchannel. An adequate choice of TSAW-frequency with reference to the particles' diameters, corresponding ARF-estimation and incorporation of the microchannel anechoic corner results in a tri-separation of PS microspheres (3, 4.2, 5 μm). The tri-separation is achieved by TSAWs - 135 MHz to deflect 5 μm particles upstream of microchannel and 175 MHz to deflect 4.2 μm particles downstream.

  5. Multi-dimensional scattering properties diagnosis system of scale aircraft model in an anechoic chamber

    Institute of Scientific and Technical Information of China (English)

    Chufeng Hu; Zhou Zhou; Nanjing Li; Kun Zhang

    2014-01-01

    Aiming at the concept of “diagnosis”, a simple and ef-fective broadband radar cross section (RCS) measurement system is constructed, and some multi-dimensional scattering properties diagnosis techniques are presented based on the system. Firstly, a stepped-frequency signal is employed to achieve high range resolution, combining with a variety of signal processing tech-niques. Secondly, cross-range resolution is gained with a rotating table, and the high-resolution two-dimensional (2-D) imaging of the scale model is obtained by the microwave imaging theory. Fi-nal y, two receiving antennas with a smal distance in altitude are used, and the three-dimensional (3-D) height distribution of scattering points on the scale model is extracted from the phase of images. Some typical bodies and a scale aircraft model are diagnosed in an anechoic chamber. The experimental results show that, after scaling with a metal sphere, the accurate one-dimensional (1-D) RCS pattern of the model is obtained, and it has a large dynamic range. When the bandwidth of the transmit-ting signal is 4 GHz, the resolution of the 2-D image can reach to 0.037 5 m. The 3-D height distribution of scattering points is given by interferometric measurement. This paper provides a feasible way to obtain high-precision scattering properties parameters of the scale aircraft model in a conventional rectangular anechoic chamber.

  6. Classification of Forest Regrowth Stage using Polarimetric Decomposition and Foliage Projective Cover

    Science.gov (United States)

    Clewley, D.; Lucas, R.; Bunting, P.; Moghaddam, M.

    2012-12-01

    Within Queensland, Australia extensive clearing of vegetation for agriculture has occurred within the Brigalow Belt Bioregion (BBB), reducing forests dominated by Acacia harpophylla (brigalow) to 10 % of their former extent. Where cleared land is left abandoned or unmanaged regeneration is rapid, Regenerating vegetation represents a more efficient and cost effective method for carbon sequestration than direct planting and offers a number of benefits over plantation forest, particularly in terms of provision of habitat for native fauna. To effectively protect regenerating vegetation, maps of the distribution of forests at different stages of regeneration are required. Whilst mapping approaches have traditionally focused on optical data, the high canopy cover of brigalow regrowth in all but the very early stages limits discrimination of forests at different stages of growth. The combination of optical data, namely Landsat derived Foliage Projective Cover (FPC) and Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (SAR) backscatter data have previously been investigated for mapping regrowth. This study therefore aimed to investigate the potential of the alpha-Entropy (α/H) decomposition (S Cloude and E Pottier, "An entropy based classification scheme for land applications of polarimetric SAR," 1997, IEEE Transactions on Geoscience and Remote Sensing, vol. 35, no. 1, pp. 68-78) applied to polarimetric ALOS PALSAR backscatter for mapping regrowth stage combined with FPC data to account for canopy variations. The study focused on the Tara Downs subregion, located in the Western Darling Downs, within the south of the BBB. PALSAR data were acquired over the study site in fully-polarimetric mode (incidence angle mid swath ~ 26 degrees). From these data α/H layers were generated and stacked with FPC data. Considering only those areas known to contain brigalow prior to clearing and with an FPC > 9 %, k-means clustering was applied, with

  7. A microwave applicator for uniform irradiation by circularly polarized waves in an anechoic chamber

    International Nuclear Information System (INIS)

    Microwave applicators are widely employed for materials heating in scientific research and industrial applications, such as food processing, wood drying, ceramic sintering, chemical synthesis, waste treatment, and insect control. For the majority of microwave applicators, materials are heated in the standing waves of a resonant cavity, which can be highly efficient in energy consumption, but often lacks the field uniformity and controllability required for a scientific study. Here, we report a microwave applicator for rapid heating of small samples by highly uniform irradiation. It features an anechoic chamber, a 24-GHz microwave source, and a linear-to-circular polarization converter. With a rather low energy efficiency, such an applicator functions mainly as a research tool. This paper discusses the significance of its special features and describes the structure, in situ diagnostic tools, calculated and measured field patterns, and a preliminary heating test of the overall system

  8. A microwave applicator for uniform irradiation by circularly polarized waves in an anechoic chamber

    Science.gov (United States)

    Chiang, W. Y.; Wu, M. H.; Wu, K. L.; Lin, M. H.; Teng, H. H.; Tsai, Y. F.; Ko, C. C.; Yang, E. C.; Jiang, J. A.; Barnett, L. R.; Chu, K. R.

    2014-08-01

    Microwave applicators are widely employed for materials heating in scientific research and industrial applications, such as food processing, wood drying, ceramic sintering, chemical synthesis, waste treatment, and insect control. For the majority of microwave applicators, materials are heated in the standing waves of a resonant cavity, which can be highly efficient in energy consumption, but often lacks the field uniformity and controllability required for a scientific study. Here, we report a microwave applicator for rapid heating of small samples by highly uniform irradiation. It features an anechoic chamber, a 24-GHz microwave source, and a linear-to-circular polarization converter. With a rather low energy efficiency, such an applicator functions mainly as a research tool. This paper discusses the significance of its special features and describes the structure, in situ diagnostic tools, calculated and measured field patterns, and a preliminary heating test of the overall system.

  9. A microwave applicator for uniform irradiation by circularly polarized waves in an anechoic chamber.

    Science.gov (United States)

    Chiang, W Y; Wu, M H; Wu, K L; Lin, M H; Teng, H H; Tsai, Y F; Ko, C C; Yang, E C; Jiang, J A; Barnett, L R; Chu, K R

    2014-08-01

    Microwave applicators are widely employed for materials heating in scientific research and industrial applications, such as food processing, wood drying, ceramic sintering, chemical synthesis, waste treatment, and insect control. For the majority of microwave applicators, materials are heated in the standing waves of a resonant cavity, which can be highly efficient in energy consumption, but often lacks the field uniformity and controllability required for a scientific study. Here, we report a microwave applicator for rapid heating of small samples by highly uniform irradiation. It features an anechoic chamber, a 24-GHz microwave source, and a linear-to-circular polarization converter. With a rather low energy efficiency, such an applicator functions mainly as a research tool. This paper discusses the significance of its special features and describes the structure, in situ diagnostic tools, calculated and measured field patterns, and a preliminary heating test of the overall system. PMID:25173291

  10. A microwave applicator for uniform irradiation by circularly polarized waves in an anechoic chamber

    Energy Technology Data Exchange (ETDEWEB)

    Chiang, W. Y.; Wu, M. H.; Wu, K. L.; Lin, M. H.; Teng, H. H.; Barnett, L. R.; Chu, K. R., E-mail: krchu@yahoo.com.tw [Department of Physics, National Taiwan University, Taipei, Taiwan (China); Tsai, Y. F.; Ko, C. C.; Yang, E. C. [Department of Entomology, National Taiwan University, Taipei, Taiwan (China); Jiang, J. A. [Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan (China)

    2014-08-15

    Microwave applicators are widely employed for materials heating in scientific research and industrial applications, such as food processing, wood drying, ceramic sintering, chemical synthesis, waste treatment, and insect control. For the majority of microwave applicators, materials are heated in the standing waves of a resonant cavity, which can be highly efficient in energy consumption, but often lacks the field uniformity and controllability required for a scientific study. Here, we report a microwave applicator for rapid heating of small samples by highly uniform irradiation. It features an anechoic chamber, a 24-GHz microwave source, and a linear-to-circular polarization converter. With a rather low energy efficiency, such an applicator functions mainly as a research tool. This paper discusses the significance of its special features and describes the structure, in situ diagnostic tools, calculated and measured field patterns, and a preliminary heating test of the overall system.

  11. A Wide Band Strong Acoustic Absorption in a Locally Network Anechoic Coating

    International Nuclear Information System (INIS)

    Composite materials with interpenetrating network structures usually exhibit unexpected merit due to the cooperative interaction. Locally resonant phononic crystals (LRPC) exhibit excellent sound attenuation performance based on a periodical arrangement of sound wave scatters. Inspired by the interpenetrating network structure and the LRPC concept, we develop a locally network anechoic coating (LNAC) that can achieve a wide band of underwater strong acoustic absorption. The experimental results show that the LNAC possesses an excellent underwater acoustic absorbing capacity in a wide frequency range. Moreover, in order to investigate the impact of the interpenetrating network structure, we fabricate a faultage structure sample and the network is disconnected by hard polyurethane (PU). The experimental comparison between the LNAC and the faultage structure sample shows that the interpenetrating network structure of the LNAC plays an important role in achieving a wide band strong acoustic absorption

  12. Final Hazard Classification and Auditable Safety Analysis for the 105-F Building Interim Safe Storage Project

    International Nuclear Information System (INIS)

    The auditable safety analysis (ASA) documents the authorization basis for the partial decommissioning and facility modifications to place the 105-F Building into interim safe storage (ISS). Placement into the ISS is consistent with the preferred alternative identified in the Record of Decision (58 FR). Modifications will reduce the potential for release and worker exposure to hazardous and radioactive materials, as well as lower surveillance and maintenance (S ampersand M) costs. This analysis includes the following: A description of the activities to be performed in the course of the 105-F Building ISS Project. An assessment of the inventory of radioactive and other hazardous materials within the 105-F Building. Identification of the hazards associated with the activities of the 105-F Building ISS Project. Identification of internally and externally initiated accident scenarios with the potential to produce significant local or offsite consequences during the 105-F Building ISS Project. Bounding evaluation of the consequences of the potentially significant accident scenarios. Hazard classification based on the bounding consequence evaluation. Associated safety function and controls, including commitments. Radiological and other employee safety and health considerations

  13. “The Origin of the Fifty Six Nationalities” Does Not Derive From the Nationality Classification Project-Understandings and Reflections on the Nationality Classification Project

    Institute of Scientific and Technical Information of China (English)

    Qin Heping

    2013-01-01

    The so -called “Nationalities Classification Project” refers to differentiating the ethnic composition and ethnic names of a nationali-ty.In other words, the purpose of the “Nationali-ties Classification Projectc ” was to analyze the“ethnic composition” or “ethnic name” , deter-mine their attribution , and to determine whether or not they are minorities based on their self -desig-nated name, history, living area, customs, spoken and written language , and self-awareness .

  14. Evaluation of low-level radioactive waste characterization and classification programs of the West Valley Demonstration Project

    International Nuclear Information System (INIS)

    The West Valley Demonstration Project (WVDP) is preparing to upgrade their low-level radioactive waste (LLW) characterization and classification program. This thesis describes a survey study of three other DOE sites conducted in support of this effort. The LLW characterization/classification programs of Oak Ridge National Laboratory, Savannah River Site, and Idaho National Engineering Laboratory were critically evaluated. The evaluation was accomplished through tours of each site facility and personnel interviews. Comparative evaluation of the individual characterization/classification programs suggests the WVDP should purchase a real-time radiography unit and a passive/active neutron detection system, make additional mechanical modifications to the segmented gamma spectroscopy assay system, provide a separate building to house characterization equipment and perform assays away from waste storage, develop and document a new LLW characterization/classification methodology, and make use of the supercompactor owned by WVDP

  15. Project Based Learning on Students' Performance in the Concept of Classification of Organisms among Secondary Schools in Kenya

    Science.gov (United States)

    Wekesa, Noah Wafula; Ongunya, Raphael Odhiambo

    2016-01-01

    The concept of classification of organisms in Biology seems to pose a problem to Secondary School students in Kenya. Though, the topic is important for understanding of the basic elements of the subject. The Examinations Council in Kenya has identified teacher centred pedagogical techniques as one of the main causes for this. Project based…

  16. Safety analysis and hazard classification for the 100-B/C Site Remediation Project, Phase 1. Revision 1

    International Nuclear Information System (INIS)

    The purpose of this report is to document the preliminary hazard classification (PHC) for the initial group of sites to be remediated by the 100-B/C Site Remediation Project. The project is targeted at excavation of contaminated solid from seven waste sites, and the transportation and disposal of these wastes at the Environmental Restoration Disposal Facility. The PHC for these remediation activities is rated as radiological

  17. A Test Model in a RF Anechoic Chamber for the Application of Wi-Fi Communication in Korean Operating NPPs

    International Nuclear Information System (INIS)

    The objective of this study is to make a test model and confirm its effectiveness in a radio frequency (RF) anechoic chamber before conducting a field test in Korean operating NPPs for use of Wi-Fi communication technology. This paper is focused on electromagnetic/radio-frequency interference (EMI/RFI) issue and discusses a methodology and its test result for overcoming that issue. Whenever wireless communication is performed between an access point (AP) and a smart phone, EMI/RFI problem always happens around those devices. It is necessary to decide how many wireless devices local workers will use and select what facilities and systems to protect from EMI/RFI, which are so-called EMI/RFI sensitive equipment. The number of wireless devices was decided as many as possible in the area where those devices could be used, and some sensitive equipment that shall not malfunction under electromagnetic environment were chosen. The test bed which considered above mentioned conditions was constructed and an experiment was carried out inside a radio-frequency anechoic chamber. Comparing with the allowable operating envelopes for electromagnetic level from RG-1.180, each maximum level of the test results acquired from a RF anechoic chamber is not over the limit even in case of considering the maximum local workers' usage. This result shows that it is highly likely that Wi-Fi communication can be used without any problem if sensitive equipment has observed the electromagnetic susceptibility limit of RG-1.180

  18. Anechoic Performance Analysis of Porous Ceramics%某种多孔陶瓷的消声性能试验

    Institute of Scientific and Technical Information of China (English)

    杨碧君; 潘国培; 贺华; 丁炜; 周相荣

    2014-01-01

    调研了多孔陶瓷材料在声学领域的应用,阐述了其作为吸声材料、隔声材料及消声器使用时的声学原理。基于多孔陶瓷作为消声器使用的相关研究较少,为确定影响多孔陶瓷消声性能的主要因素,在两种试验工况下对不同规格的多孔陶瓷管进行排气试验。孔隙率是表征多孔陶瓷的基本参量,它与多项物理性能存在紧密联系,为排除它的影响,选择40%孔隙率的多孔陶瓷进行试验,结果表明壁厚越厚,消声效果越好,孔径为20μ的多孔陶瓷管消声效果最佳。随着温度的升高,多孔陶瓷管的消声频谱特性曲线向高频移动。%Application of porous ceramics to acoustics area is summarized. Acoustics theory of the porous ceramics is expatiated when they are used as sound absorption material, sound insulation material and in mufflers. However, the researches of application of porous ceramics to mufflers are very few. In order to determine the major factors affecting anechoic properties of the porous ceramics, exhaust experiments on different porous ceramics are carried out in two different conditions. Porosity is a basic parameter of the porous ceramics related to the physical performance. The porosity of the porous ceramic is chosen to be a 40%constant in the experiments to eliminate the porosity effect. The results show that the thicker the porous ceramic is, the better the anechoic property is. And anechoic property of the porous ceramic with 20 μaperture is the best. With the temperature rising, the anechoic spectrum curve of the porous ceramic moves towards the high frequency direction.

  19. Classification of Magnetic Nanoparticle Systems—Synthesis, Standardization and Analysis Methods in the NanoMag Project

    Directory of Open Access Journals (Sweden)

    Sara Bogren

    2015-08-01

    Full Text Available This study presents classification of different magnetic single- and multi-core particle systems using their measured dynamic magnetic properties together with their nanocrystal and particle sizes. The dynamic magnetic properties are measured with AC (dynamical susceptometry and magnetorelaxometry and the size parameters are determined from electron microscopy and dynamic light scattering. Using these methods, we also show that the nanocrystal size and particle morphology determines the dynamic magnetic properties for both single- and multi-core particles. The presented results are obtained from the four year EU NMP FP7 project, NanoMag, which is focused on standardization of analysis methods for magnetic nanoparticles.

  20. Subspace Projection Approaches to Classification and Visualization of Neural Network-Level Encoding Patterns

    OpenAIRE

    Remus Oşan; Liping Zhu; Shy Shoham; Joe Z Tsien

    2007-01-01

    Recent advances in large-scale ensemble recordings allow monitoring of activity patterns of several hundreds of neurons in freely behaving animals. The emergence of such high-dimensional datasets poses challenges for the identification and analysis of dynamical network patterns. While several types of multivariate statistical methods have been used for integrating responses from multiple neurons, their effectiveness in pattern classification and predictive power has not been compared in a dir...

  1. Beyond laminar fate: toward a molecular classification of cortical projection/pyramidal neurons.

    NARCIS (Netherlands)

    Hevner, R.F.; Daza, R.A.; Rubenstein, J.L.; Stunnenberg, H.G.; Olavarria, J.F.; Englund, C.

    2003-01-01

    Cortical projection neurons exhibit diverse morphological, physiological, and molecular phenotypes, but it is unknown how many distinct types exist. Many projection cell phenotypes are associated with laminar fate (radial position), but each layer may also contain multiple types of projection cells.

  2. Research on Classification of Land Consolidation Project Zones in Inner Mongolia

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Taking Inner Mongolia as the research object, from natural conditions, socio-economic conditions, land use conditions and so on, we select 8 indices that impact the land consolidation project, namely climate, topography, soil type, water resources conditions, farmland amount per capita, the degree of agricultural mechanization, the status of irrigation guarantee and land consolidation potential, so as to establish rational index system of project zoning. By using cluster analysis method, we divide Inner Mongolia into 5 different types of project zone, namely multiple-purpose project zone of the western Greater Khingan Mountains, irrigation project zone of Nenjiang and the western Liao River plain, the central dry farming complementary irrigation project zone, Hetao Plain and Huanghe River irrigation project zone, and the western oasis irrigation project zone. This paper analyzes the natural conditions of all regions and constraint factors of agricultural production, and establishes the corresponding project design model, in order to provide reference for the land consolidation project design in Inner Mongolia and even other similar regions.

  3. Defining and classification of the soft projects as a base for their scope planning

    OpenAIRE

    Фаиз Ахмад, Аль Атум Мохаммад

    2015-01-01

    In this paper we investigate a new class of soft projects, the main feature of which is a significant presence of personality in the design product and its defining role in the use of this product. Today, basic knowledge of soft projects is not enough to effectively manage, although the number of such projects is constantly increasing. The aim of research is to extend the existing knowledge about the nature of the soft projects and further their use as a basis for identifying features of plan...

  4. Identification and Classification of the Unique Features of Mass Housing Projects

    Directory of Open Access Journals (Sweden)

    Titus Ebenezer Kwofie

    2014-01-01

    Full Text Available Mass housing projects (MHPs are said to differ significantly from the “one-off” traditional building projects often encountered in the construction industry and thus require unique management skills and approach in MHPs delivery. This unique nature of MHPs contributes to managerial inefficiencies that result in delivery failures when management approaches are not adapted to the project characteristics. However, understanding and knowledge of the unique attributes of MHPs are critical towards improving the organisation, planning, managerial effectiveness, and delivery success of mass housing projects. To date, extensive studies establishing the unique features of mass housing projects are lacking. This study is set out to identify what constitutes the unique features of mass housing projects by comparing mass housing projects to traditional “one-off” building projects. A questionnaire survey was used to establish mass housing practitioners’ perception of the unique characteristics of MHPs. Data analysis involving mean scores and ANOVA revealed 10 unique features of MHP. A clear and systematic understanding of these unique features of MHPs is crucial for evolving effective project management practices and critical competencies towards successful delivery of current and future MHPs.

  5. 7 CFR Appendix A to Subpart E of... - Hazard Potential Classification for Civil Works Projects

    Science.gov (United States)

    2010-01-01

    ... Significant High Direct Loss of Life 2 None expected (due to rural location with no permanent structures for... apply to individual structures within a project. 2 Loss of life potential based upon inundation mapping of area downstream of the project. Analysis of loss of life potential should take into account...

  6. Separation of radiated sound field components from waves scattered by a source under non-anechoic conditions

    DEFF Research Database (Denmark)

    Fernandez Grande, Efren; Jacobsen, Finn

    2010-01-01

    A method of estimating the sound field radiated by a source under non-anechoic conditions has been examined. The method uses near field acoustic holography based on a combination of pressure and particle velocity measurements in a plane near the source for separating outgoing and ingoing wave...... components. The outgoing part of the sound field is composed of both radiated and scattered waves. The method compensates for the scattered components of the outgoing field on the basis of the boundary condition of the problem, exploiting the fact that the sound field is reconstructed very close...... to the source. Thus the radiated free-field component is estimated simultaneously with solving the inverse problem of reconstructing the sound field near the source. The method is particularly suited to cases in which the overall contribution of reflected sound in the measurement plane is significant....

  7. Classifying Classification

    Science.gov (United States)

    Novakowski, Janice

    2009-01-01

    This article describes the experience of a group of first-grade teachers as they tackled the science process of classification, a targeted learning objective for the first grade. While the two-year process was not easy and required teachers to teach in a new, more investigation-oriented way, the benefits were great. The project helped teachers and…

  8. Time-Domain Measurement of the Ear-to-Ear On-Body Path Gain at 2.45 GHz in a Radio Anechoic Environment

    DEFF Research Database (Denmark)

    Kvist, Søren Helstrup; Thaysen, Jesper; Jakobsen, Kaj Bjarne

    2012-01-01

    The ear-to-ear on-body path gain (jS21j) at 2:45 GHz is measured in the time domain. The measurements were conducted in a radio anechoic environment to study the effects of the on-body paths only. Two different monopole antenna configurations that are polarized normal and tangential to the surface...

  9. Cost estimate classification and accuracy for Major Industrial Plant Projects (MIPP) versus building construction in Germany

    OpenAIRE

    Erbe, Anita

    2014-01-01

    Ongoing pressure on prices for construction projects adds to the significance of cost estimation accuracy in building construction. Due to competition from Asian entrants, main contractors in the plant engineering industry are starting to face a similar situation. In the present paper, the cost estimation standards for Major Industrial Plant Projects (MIPP) are analyzed and compared with the cost estimation standards for Building Construction (BC). The research method uses a literature and st...

  10. Evaluating observed and projected future climate changes for the Arctic using the Koeppen-Trewartha climate classification

    Energy Technology Data Exchange (ETDEWEB)

    Feng, Song [University of Nebraska-Lincoln, School of Natural Resources, Lincoln, NE (United States); Ho, Chang-Hoi; Jeong, Su-Jong [Seoul National University, School of Earth and Environmental Sciences, Seoul (Korea, Republic of); Hu, Qi; Oglesby, Robert J. [University of Nebraska-Lincoln, School of Natural Resources, Lincoln, NE (United States); University of Nebraska-Lincoln, Department of Earth and Atmospheric Sciences, Lincoln, NE (United States); Kim, Baek-Min [Korea Polar Research Institute, Incheon (Korea, Republic of)

    2012-04-15

    The ecosystems in the Arctic region are known to be very sensitive to climate changes. The accelerated warming for the past several decades has profoundly influenced the lives of the native populations and ecosystems in the Arctic. Given that the Koeppen-Trewartha (K-T) climate classification is based on reliable variations of land-surface types (especially vegetation), this study used the K-T scheme to evaluate climate changes and their impact on vegetation for the Arctic (north of 50 N) by analyzing observations as well as model simulations for the period 1900-2099. The models include 16 fully coupled global climate models from the Intergovernmental Panel on Climate Change Fourth Assessment. By the end of this century, the annual-mean surface temperature averaged over Arctic land regions is projected to increase by 3.1, 4.6 and 5.3 C under the Special Report on Emissions Scenario (SRES) B1, A1b, and A2 emission scenarios, respectively. Increasing temperature favors a northward expansion of temperate climate (i.e., Dc and Do in the K-T classification) and boreal oceanic climate (i.e., Eo) types into areas previously covered by boreal continental climate (i.e., Ec) and tundra; and tundra into areas occupied by permanent ice. The tundra region is projected to shrink by -1.86 x 10{sup 6} km{sup 2} (-33.0%) in B1, -2.4 x 10{sup 6} km{sup 2} (-42.6%) in A1b, and -2.5 x 10{sup 6} km{sup 2} (-44.2%) in A2 scenarios by the end of this century. The Ec climate type retreats at least 5 poleward of its present location, resulting in -18.9, -30.2, and -37.1% declines in areal coverage under the B1, A1b and A2 scenarios, respectively. The temperate climate types (Dc and Do) advance and take over the area previously covered by Ec. The area covered by Dc climate expands by 4.61 x 10{sup 6} km{sup 2} (84.6%) in B1, 6.88 x 10{sup 6} km{sup 2} (126.4%) in A1b, and 8.16 x 10{sup 6} km{sup 2} (149.6%) in A2 scenarios. The projected redistributions of K-T climate types also differ

  11. Contour-Based Corner Detection and Classification by Using Mean Projection Transform

    OpenAIRE

    Seyed Mostafa Mousavi Kahaki; Md Jan Nordin; Amir Hossein Ashtari

    2014-01-01

    Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection Transform (MPT) as a corner classifier and parabolic fit approximation to form a robust detector. Th...

  12. Hierarchy classification of projects in the electric power system; Hierarquizacao de projetos no setor eletrico

    Energy Technology Data Exchange (ETDEWEB)

    Boynard, Aroldo Coser [Espirito Santo Centrais Eletricas S.A. (ESCELSA), Vitoria, ES (Brazil); Cordeiro, Fabio Jorge Gomes [Companhia de Eletricidade do Rio de Janeiro (CERJ), Niteroi, RJ (Brazil); Mendes, Flavio Gomes [Eletricidade de Sao Paulo S.A. (ELETROPAULO), Sao Paulo, SP (Brazil); Pimenta, Gilberto Morais; Souza Carmo Carvalho, Mara Amorim de [Companhia Energetica de Minas Gerais (CEMIG), Belo Horizonte, MG (Brazil); Nascimento, Ivan Cesar Correa do [Companhia de Eletricidade do Para, Belem, PA (Brazil); Souza, Joao Batista de [Centrais Eletricas de Santa Catarina S.A., Florianopolis, SC (Brazil); Fonseca, Jose Roland Ribeiro [Companhia de Eletricidade do Maranhao (CEMAR), Sao Luiz, MA (Brazil); Hausen, Marcos Zanoni [Centrais Eletricas do Norte do Brasil S.A. (ELETRONORTE), Belem, PA (Brazil); Albuquerque, Paulo F. Cunha [Companhia Paulista de Forca e Luz (CPFL), Campinas, SP (Brazil); Almeida, Paulo Henrique [Companhia Paranaense de Energia (COPEL), Curitiba, PR (Brazil); Salgado, Solon Granja [FURNAS, Rio de Janeiro, RJ (Brazil)

    1996-12-31

    This work presents discussions aiming the development of a methodology to define an hierarchy in electric power system projects aiming to combine the magnitude of the programs to the budget restrictions. For the economic crisis periods this methodology enables the maintenance of the financial stability of the electric power utilities and, during periods of favorable economy, a more consistent expansion of the company 3 refs., 3 figs., 4 tabs.

  13. A project of classification of large geologic structures of the earth's crust according to the conditions of radioactive waste disposal

    International Nuclear Information System (INIS)

    A firm tendency outlined in recent years consists in using the lithosphere as a site of disposal of highly toxic and power rich radioactive wastes, which extends considerably the range of problems connected with the geologic reasons for these measures in every definite case. A traditional information on a geologic object, on physical-chemical, geotechnical and hydrogeologic processes occuring in undisturbed conditions and expected after the underground repository creation is not sufficient at present. Modern data on the earth's crust power, on the range and planetary centrifugal direction of the heatmass transfer processes are indicative of the necessity to take into consideration a possible relation of a geologic object to deepseated zones of enclosing large geologic structures; a density of heat flows and an intensity of mass transfer in a section: deep crustal zones → earth's surface (basement → earth's surface -- for sedimentary basins); the resulting effects of interactions of the natural thermal and geochemical fields with analogous artificial formations - products of radioactive element disintegration in the buried waste composition; seismic effects of decreasing the volume of sedimentary rock as a result of their catagenetic transformations in deep-seated zones of sedimentary basins. A project of general classification of geologic megastructures according to conditions of radioactive wastes burial was developed and is discussed. The project is based on a concept of power potential of large geologic structures involving their seismic activity and geologic-geochemical effects of deep heat and mass transfer in the earth's crust upper parts

  14. Finite Projective Geometries and Classification of the Weight Hierarchies of Codes (I)

    Institute of Scientific and Technical Information of China (English)

    Wen De CHEN; Torleiv KLфVE

    2004-01-01

    The weight hierarchy of a binary linear [n, k] code C is the sequence (d1, d2,……, dk), where dr is the smallest support of an r-dimensional subcode of C. The codes of dimension 4 are collected in classes and the possible weight hierarchies in each class is determined by finite projective geometries.The possible weight hierarchies in class A, B, C, D are determined in Part (Ⅰ). The possible weight hierarchies in class E, F, G, H, I are determined in Part (Ⅱ).

  15. The Influence of temporal sampling regime on the WFD classification of catchments within the Eden Demonstration Test Catchment Project

    Science.gov (United States)

    Jonczyk, Jennine; Haygarth, Phil; Quinn, Paul; Reaney, Sim

    2014-05-01

    A high temporal resolution data set from the Eden Demonstration Test Catchment (DTC) project is used to investigate the processes causing pollution and the influence of temporal sampling regime on the WFD classification of three catchments. This data highlights WFD standards may not be fit for purpose. The Eden DTC project is part of a UK government-funded project designed to provide robust evidence regarding how diffuse pollution can be cost-effectively controlled to improve and maintain water quality in rural river catchments. The impact of multiple water quality parameters on ecosystems and sustainable food production are being studied at the catchment scale. Three focus catchments approximately 10 km2 each, have been selected to represent the different farming practices and geophysical characteristics across the Eden catchment, Northern England. A field experimental programme has been designed to monitor the dynamics of agricultural diffuse pollution at multiple scales using state of the art sensors providing continuous real time data. The data set, which includes Total Phosphorus and Total Reactive Phosphorus, Nitrate, Ammonium, pH, Conductivity, Turbidity and Chlorophyll a reveals the frequency and duration of nutrient concentration target exceedance which arises from the prevalence of storm events of increasing magnitude. This data set is sub-sampled at different time intervals to explore how different sampling regimes affects our understanding of nutrient dynamics and the ramification of the different regimes to WFD chemical status. This presentation seeks to identify an optimum temporal resolution of data for effective catchment management and to question the usefulness of the WFD status metric for determining health of a system. Criteria based on high frequency short duration events needs to be accounted for.

  16. Classification of Oxfordshire community stroke project assisted by transcranial Doppler ultrasound examination for treating acute cerebral infarction

    Institute of Scientific and Technical Information of China (English)

    Xiaohua Xiao; Jie Situ; Tinghui Li; Shaohong Qiu

    2006-01-01

    BACKGROUND: The early correct diagnosis of acute cerebral infarction (ACI) is very important for choosing therapeutic regimen. The classification of Oxfordshire community stroke project (OCSP) provides guide for easy and rapid diagnosis and choosing therapeutic regimen in clinical practice. But current operation is not satisfied. Only depending on clinical symptoms and body signs do objective evidences lack. Transcranial Doppler ultrasound (TCD) examination may provide hemodynamical evidences for the correct classification of OCSP to some extent. OBJECTIVE: To compare the results of OCSP classification and TCD examination for treating ACI in patients, and analyze the relationship between them as well as the effect of TCD on the correct classification of OCSP. DESIGN: Controlled observation.SETTING: Department of Internal Medicine, Shenzhen Hospital of Prevention and Treatment for Occupational Disease. PARTICIPANTS: Thirty-eight inpatients with ACI including 21 males and 17 females, aged 50 to 81 years, who received treatment in the Department of Internal Medicine, Shenzhen Hospital of Prevention and Treatment for Occupational Disease within 24 hours after onset from October 2002 to October 2005 were involved. The involved inpatients all confirmed to the diagnostic criteria of ACI formulated in the 4th National Cerebrovas- cular Diseases Conference. All the cases received skull computer tomography (CT) or magnetic resonance imaging (MRI) examinations at 24 hours after onset. Those patients who had no obvious infarct focus in skull CT examination within 24 hours after onset were performed re-examination to verify ACI within 72 hours after onset. Informed consents of examination method were obtained from all the patients. METHODS: According to the classification of OCSP, the patients were assigned into 4 subtypes: lacunar infarction (LACI), total anterior circulation infarction (TACI), part anterior circulation infarction (PACI) and posterior circulation infarction

  17. Contour-based corner detection and classification by using mean projection transform.

    Science.gov (United States)

    Kahaki, Seyed Mostafa Mousavi; Nordin, Md Jan; Ashtari, Amir Hossein

    2014-01-01

    Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection Transform (MPT) as a corner classifier and parabolic fit approximation to form a robust detector. The first step is to extract corner candidates using MPT based on the integral properties of the local contours in both the horizontal and vertical directions. Then, an approximation of the parabolic fit is calculated to localize the candidate corner points. The proposed method presents fewer false-positive (FP) and false-negative (FN) points compared with recent standard corner detection techniques, especially in comparison with curvature scale space (CSS) methods. Moreover, a new evaluation metric, called accuracy of repeatability (AR), is introduced. AR combines repeatability and the localization error (Le) for finding the probability of correct detection in the target image. The output results exhibit better repeatability, localization, and AR for the detected points compared with the criteria in original and transformed images. PMID:24590354

  18. Contour-Based Corner Detection and Classification by Using Mean Projection Transform

    Directory of Open Access Journals (Sweden)

    Seyed Mostafa Mousavi Kahaki

    2014-02-01

    Full Text Available Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection Transform (MPT as a corner classifier and parabolic fit approximation to form a robust detector. The first step is to extract corner candidates using MPT based on the integral properties of the local contours in both the horizontal and vertical directions. Then, an approximation of the parabolic fit is calculated to localize the candidate corner points. The proposed method presents fewer false-positive (FP and false-negative (FN points compared with recent standard corner detection techniques, especially in comparison with curvature scale space (CSS methods. Moreover, a new evaluation metric, called accuracy of repeatability (AR, is introduced. AR combines repeatability and the localization error (Le for finding the probability of correct detection in the target image. The output results exhibit better repeatability, localization, and AR for the detected points compared with the criteria in original and transformed images.

  19. Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project.

    Science.gov (United States)

    Benammar Elgaaied, Amel; Cascio, Donato; Bruno, Salvatore; Ciaccio, Maria Cristina; Cipolla, Marco; Fauci, Alessandro; Morgante, Rossella; Taormina, Vincenzo; Gorgi, Yousr; Marrakchi Triki, Raja; Ben Ahmed, Melika; Louzir, Hechmi; Yalaoui, Sadok; Imene, Sfar; Issaoui, Yassine; Abidi, Ahmed; Ammar, Myriam; Bedhiafi, Walid; Ben Fraj, Oussama; Bouhaha, Rym; Hamdi, Khouloud; Soumaya, Koudhi; Neili, Bilel; Asma, Gati; Lucchese, Mariano; Catanzaro, Maria; Barbara, Vincenza; Brusca, Ignazio; Fregapane, Maria; Amato, Gaetano; Friscia, Giuseppe; Neila, Trai; Turkia, Souayeh; Youssra, Haouami; Rekik, Raja; Bouokez, Hayet; Vasile Simone, Maria; Fauci, Francesco; Raso, Giuseppe

    2016-01-01

    Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection) solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%). PMID:27042658

  20. Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project

    Directory of Open Access Journals (Sweden)

    Amel Benammar Elgaaied

    2016-01-01

    Full Text Available Antinuclear antibodies (ANAs are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%, higher Patterns Accuracy (79,3% versus 48,0% and 66,2%, and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%.

  1. Transabdominal ultrasonography of the small bowel after oral administration of a non-absorbable anechoic solution: Comparison with barium enteroclysis

    International Nuclear Information System (INIS)

    AIM: The aim of this study was to determine if oral administration of a non-absorbable anechoic solution conveys any benefit during abdominal ultrasound (US), with special reference to its accuracy. MATERIALS AND METHODS: Fifty-three adult out-patients scheduled for small bowel barium enema (SBE) were included. The day before SBE all patients underwent abdominal US before and after oral administration of an isotonic non-absorbable electrolyte solution containing polyethylene glycol (PEG-ELS). Sensitivity and specificity were evaluated using SBE as a gold standard. RESULTS: After ingestion of PEG-ELS satisfactory distension of the intestinal lumen was obtained (11-25 mm) with sequential visualization of jejunoileal loops in 30.9 ± 17.3 min. In 15 out of 53 cases both US and SBE showed bowel changes characteristic of Crohn's disease. In three out of 53 cases both US and SBE showed neoplasms. In one out of 53 cases US was negative, SBE positive for local nodularity and ulcerations typical of Crohn's disease. In one out of 53 cases US was negative, SBE positive for macronodularity consistent with coeliac disease. In five out of 53 cases US was negative, while SBE was positive for mininodularity expressive of lymphoid hyperplasia. In 28 out of 53 cases both examinations were negative. CONCLUSION: PEG-ELS administration allows a thorough US investigation of the small bowel, with fair sensitivity (72%) and excellent specificity (100%). False negative findings are mainly due to lymphoid hyperplasia, a feature of uncertain significance in adults. Cittadini G. et al.(2001)

  2. Improving mass detection using combined feature representations from projection views and reconstructed volume of DBT and boosting based classification with feature selection

    International Nuclear Information System (INIS)

    In digital breast tomosynthesis (DBT), image characteristics of projection views and reconstructed volume are different and both have the advantage of detecting breast masses, e.g. reconstructed volume mitigates a tissue overlap, while projection views have less reconstruction blur artifacts. In this paper, an improved mass detection is proposed by using combined feature representations from projection views and reconstructed volume in the DBT. To take advantage of complementary effects on different image characteristics of both data, combined feature representations are extracted from both projection views and reconstructed volume concurrently. An indirect region-of-interest segmentation in projection views, which projects volume-of-interest in reconstructed volume into the corresponding projection views, is proposed to extract combined feature representations. In addition, a boosting based classification with feature selection has been employed for selecting effective feature representations among a large number of combined feature representations, and for reducing false positives. Experiments have been conducted on a clinical data set that contains malignant masses. Experimental results demonstrate that the proposed mass detection can achieve high sensitivity with a small number of false positives. In addition, the experimental results demonstrate that the selected feature representations for classifying masses complementarily come from both projection views and reconstructed volume. (paper)

  3. Nominal classification

    OpenAIRE

    Senft, G.

    2007-01-01

    This handbook chapter summarizes some of the problems of nominal classification in language, presents and illustrates the various systems or techniques of nominal classification, and points out why nominal classification is one of the most interesting topics in Cognitive Linguistics.

  4. The VVV Templates Project. Towards an Automated Classification of VVV Light-Curves. I. Building a database of stellar variability in the near-infrared

    CERN Document Server

    Angeloni, R; Catelan, M; Dékány, I; Gran, F; Alonso-García, J; Hempel, M; Navarrete, C; Andrews, H; Aparicio, A; Beamín, J C; Berger, C; Borissova, J; Peña, C Contreras; Cunial, A; de Grijs, R; Espinoza, N; Eyheramendy, S; Lopes, C E Ferreira; Fiaschi, M; Hajdu, G; Han, J; Hełminiak, K G; Hempel, A; Hidalgo, S L; Ita, Y; Jeon, Y -B; Jordán, A; Kwon, J; Lee, J T; Martín, E L; Masetti, N; Matsunaga, N; Milone, A P; Minniti, D; Morelli, L; Murgas, F; Nagayama, T; Navarro, C; Ochner, P; Pérez, P; Pichara, K; Rojas-Arriagada, A; Roquette, J; Saito, R K; Siviero, A; Sohn, J; Sung, H -I; Tamura, M; Tata, R; Tomasella, L; Townsend, B; Whitelock, P

    2014-01-01

    Context. The Vista Variables in the V\\'ia L\\'actea (VVV) ESO Public Survey is a variability survey of the Milky Way bulge and an adjacent section of the disk carried out from 2010 on ESO Visible and Infrared Survey Telescope for Astronomy (VISTA). VVV will eventually deliver a deep near-IR atlas with photometry and positions in five passbands (ZYJHK_S) and a catalogue of 1-10 million variable point sources - mostly unknown - which require classifications. Aims. The main goal of the VVV Templates Project, that we introduce in this work, is to develop and test the machine-learning algorithms for the automated classification of the VVV light-curves. As VVV is the first massive, multi-epoch survey of stellar variability in the near-infrared, the template light-curves that are required for training the classification algorithms are not available. In the first paper of the series we describe the construction of this comprehensive database of infrared stellar variability. Methods. First we performed a systematic sea...

  5. Binary classification of chalcone derivatives with LDA or KNN based on their antileishmanial activity and molecular descriptors selected using the Successive Projections Algorithm feature-selection technique.

    Science.gov (United States)

    Goodarzi, Mohammad; Saeys, Wouter; de Araujo, Mario Cesar Ugulino; Galvão, Roberto Kawakami Harrop; Vander Heyden, Yvan

    2014-01-23

    Chalcones are naturally occurring aromatic ketones, which consist of an α-, β-unsaturated carbonyl system joining two aryl rings. These compounds are reported to exhibit several pharmacological activities, including antiparasitic, antibacterial, antifungal, anticancer, immunomodulatory, nitric oxide inhibition and anti-inflammatory effects. In the present work, a Quantitative Structure-Activity Relationship (QSAR) study is carried out to classify chalcone derivatives with respect to their antileishmanial activity (active/inactive) on the basis of molecular descriptors. For this purpose, two techniques to select descriptors are employed, the Successive Projections Algorithm (SPA) and the Genetic Algorithm (GA). The selected descriptors are initially employed to build Linear Discriminant Analysis (LDA) models. An additional investigation is then carried out to determine whether the results can be improved by using a non-parametric classification technique (One Nearest Neighbour, 1NN). In a case study involving 100 chalcone derivatives, the 1NN models were found to provide better rates of correct classification than LDA, both in the training and test sets. The best result was achieved by a SPA-1NN model with six molecular descriptors, which provided correct classification rates of 97% and 84% for the training and test sets, respectively. PMID:24090733

  6. Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project

    OpenAIRE

    Recep Gundogan; Abdullah E. Akay; Alaaddin Yüksel

    2008-01-01

    The satellite imagery has been effectively utilized for classifying land cover types and detecting land cover conditions. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor imagery has been widely used in classification process of land cover. However, atmospheric corrections have to be made by preprocessing satellite sensor imagery since the electromagnetic radiation signals received by the satellite sensors can be scattered and absorbed by the atmospheric gases...

  7. The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classification

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, Tatiparthi B. K. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Thomas, Alex D. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Stamatis, Dimitri [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Bertsch, Jon [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Isbandi, Michelle [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Jansson, Jakob [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Mallajosyula, Jyothi [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Pagani, Ioanna [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Lobos, Elizabeth A. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Kyrpides, Nikos C. [USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); King Abdulaziz Univ., Jeddah (Saudi Arabia)

    2014-10-27

    The Genomes OnLine Database (GOLD; http://www.genomesonline.org) is a comprehensive online resource to catalog and monitor genetic studies worldwide. GOLD provides up-to-date status on complete and ongoing sequencing projects along with a broad array of curated metadata. Within this paper, we report version 5 (v.5) of the database. The newly designed database schema and web user interface supports several new features including the implementation of a four level (meta)genome project classification system and a simplified intuitive web interface to access reports and launch search tools. The database currently hosts information for about 19 200 studies, 56 000 Biosamples, 56 000 sequencing projects and 39 400 analysis projects. More than just a catalog of worldwide genome projects, GOLD is a manually curated, quality-controlled metadata warehouse. The problems encountered in integrating disparate and varying quality data into GOLD are briefly highlighted. Lastly, GOLD fully supports and follows the Genomic Standards Consortium (GSC) Minimum Information standards.

  8. 18 CFR 401.35 - Classification of projects for review under Section 3.8 of the Compact.

    Science.gov (United States)

    2010-04-01

    ... Resources DELAWARE RIVER BASIN COMMISSION ADMINISTRATIVE MANUAL RULES OF PRACTICE AND PROCEDURE Project... Administrative Agreement, together with available supporting materials filed in accordance with the practice...

  9. APPLICATION OF AHP METHOD IN THE IDENTIFICATION AND CLASSIFICATION OF PROJECT SELECTION CRITERIA: AN ENERGY SECTOR CASE STUDY

    Directory of Open Access Journals (Sweden)

    Silvério, Adriano Augusto

    2015-07-01

    Full Text Available Choosing from several alternative investment projects in hydropower to build a portfolio of projects is a complex matter. The most commonly used selection model for building the portfolio is the financial method, however it constraints options investments to the economic and financial parameters, which are limiting in nature. Alternatively, this paper proposes the use of multicriterial method Analytic Hierarchy Process – AHP, which incorporates measures to evaluate both quantitative and qualitative data. This method is based on criteria or parameters of operational processes that hinder or facilitate the execution of projects. In order to get the definition of the set of criteria, the Delphi technique was applied to a group of seven experts in managing hydropower projects. Main results show that essential criteria for selection of project investment portfolio, are not limited to financial aspects, but it involves criteria of bureaucratic, organizational, and political environment and technological characters. The conclusion is that the financial potential of hydropower projects are not the only determinants for investments on hydropower projects and, at large, these project are conditioned to other criteria such as, those of bureaucratic and technological nature.

  10. A study of a decommissioning activities classification structure for decommissioning of the project management of a nuclear power plant

    International Nuclear Information System (INIS)

    Decommissioning activities and requirements that was established in the planning stage should be organized systematically in the course of dismantling the NPP. The work breakdown structure is essential to ensuring that all the project scope is identified, estimated and executed. The project manager needs to ensure that a WBS is established early in the project and maintained throughout the project life cycle. A project management system is ongoing under the circumstance of having no experience dismantling the NPP. The system related to the NPP decommissioning should have technical criteria as well as regulatory requirements in the full scale of decommissioning stage. In the dismantling stage, decommissioning plan document should include the results of radiation/radioactivity characterization, evaluation of the amount of dismantled waste, calculation of the expose dose rate, evaluation of decommissioning cost and schedule after shutdown

  11. A study of a decommissioning activities classification structure for decommissioning of the project management of a nuclear power plant

    Energy Technology Data Exchange (ETDEWEB)

    Park, Hee Seong; Park, Seung Kook; Jin, Hyung Gon; Song, Chan Ho; Ha, Jei Hyun; Moon, Jei kwon [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2015-05-15

    Decommissioning activities and requirements that was established in the planning stage should be organized systematically in the course of dismantling the NPP. The work breakdown structure is essential to ensuring that all the project scope is identified, estimated and executed. The project manager needs to ensure that a WBS is established early in the project and maintained throughout the project life cycle. A project management system is ongoing under the circumstance of having no experience dismantling the NPP. The system related to the NPP decommissioning should have technical criteria as well as regulatory requirements in the full scale of decommissioning stage. In the dismantling stage, decommissioning plan document should include the results of radiation/radioactivity characterization, evaluation of the amount of dismantled waste, calculation of the expose dose rate, evaluation of decommissioning cost and schedule after shutdown.

  12. Morphology, classification, and distribution of the projection neurons in the dorsal lateral geniculate nucleus of the rat.

    Directory of Open Access Journals (Sweden)

    Changying Ling

    Full Text Available The morphology of confirmed projection neurons in the dorsal lateral geniculate nucleus (dLGN of the rat was examined by filling these cells retrogradely with biotinylated dextran amine (BDA injected into the visual cortex. BDA-labeled projection neurons varied widely in the shape and size of their cell somas, with mean cross-sectional areas ranging from 60-340 µm(2. Labeled projection neurons supported 7-55 dendrites that spanned up to 300 µm in length and formed dendritic arbors with cross-sectional areas of up to 7.0 × 10(4 µm(2. Primary dendrites emerged from cell somas in three broad patterns. In some dLGN projection neurons, primary dendrites arise from the cell soma at two poles spaced approximately 180° apart. In other projection neurons, dendrites emerge principally from one side of the cell soma, while in a third group of projection neurons primary dendrites emerge from the entire perimeter of the cell soma. Based on these three distinct patterns in the distribution of primary dendrites from cell somas, we have grouped dLGN projection neurons into three classes: bipolar cells, basket cells and radial cells, respectively. The appendages seen on dendrites also can be grouped into three classes according to differences in their structure. Short "tufted" appendages arise mainly from the distal branches of dendrites; "spine-like" appendages, fine stalks with ovoid heads, typically are seen along the middle segments of dendrites; and "grape-like" appendages, short stalks that terminate in a cluster of ovoid bulbs, appear most often along the proximal segments of secondary dendrites of neurons with medium or large cell somas. While morphologically diverse dLGN projection neurons are intermingled uniformly throughout the nucleus, the caudal pole of the dLGN contains more small projection neurons of all classes than the rostral pole.

  13. Morphology, Classification, and Distribution of the Projection Neurons in the Dorsal Lateral Geniculate Nucleus of the Rat

    OpenAIRE

    Changying Ling; Hendrickson, Michael L.; Ronald E Kalil

    2012-01-01

    The morphology of confirmed projection neurons in the dorsal lateral geniculate nucleus (dLGN) of the rat was examined by filling these cells retrogradely with biotinylated dextran amine (BDA) injected into the visual cortex. BDA-labeled projection neurons varied widely in the shape and size of their cell somas, with mean cross-sectional areas ranging from 60-340 µm(2). Labeled projection neurons supported 7-55 dendrites that spanned up to 300 µm in length and formed dendritic arbors with cro...

  14. 7 CFR 1794.31 - Classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 12 2010-01-01 2010-01-01 false Classification. 1794.31 Section 1794.31 Agriculture... Classification. (a) Electric and telecommunications programs. RUS will normally determine the proper environmental classification of projects based on its evaluation of the project description set forth in...

  15. A European classification of services for long-term care—the EU-project eDESDE-LTC

    OpenAIRE

    Germain Weber; Barbara Brehmer; Elisabeth Zeilinger; Luis Salvador-Carulla

    2009-01-01

    Purpose and theory The eDESDE-LTC project aims at developing an operational system for coding, mapping and comparing services for long-term care (LTC) across EU. The projects strategy is to improve EU listing and access to relevant sources of healthcare information via development of SEMANTIC INTER-OPERABILITY in eHEALTH (coding and listing of services for LTC); to increase access to relevant sources of information on LTC services, and to improve linkages between national and regional website...

  16. APPLICATION OF AHP METHOD IN THE IDENTIFICATION AND CLASSIFICATION OF PROJECT SELECTION CRITERIA: AN ENERGY SECTOR CASE STUDY

    OpenAIRE

    Silvério, Adriano Augusto; Rodrigues, Leonel Cezar; Xavier, Amanda Fernandes

    2015-01-01

    Choosing from several alternative investment projects in hydropower to build a portfolio of projects is a complex matter. The most commonly used selection model for building the portfolio is the financial method, however it constraints options investments to the economic and financial parameters, which are limiting in nature. Alternatively, this paper proposes the use of multicriterial method Analytic Hierarchy Process – AHP, which incorporates measures to evaluate both quantit...

  17. Classification of the spaces Cp*(X) within the Borel-Wadge hierarchy for a projective space X

    Czech Academy of Sciences Publication Activity Database

    Doležal, Martin; Vejnar, B.

    2015-01-01

    Roč. 183, March (2015), s. 11-17. ISSN 0166-8641 Institutional support: RVO:67985840 Keywords : function spaces * pointwise convergence * projective determinacy Subject RIV: BA - General Mathematics Impact factor: 0.551, year: 2014 http://www.sciencedirect.com/science/article/pii/S0166864114004854

  18. Non-Hodgkin lymphoma in Southern Africa: review of 487 cases from The International Non-Hodgkin Lymphoma Classification Project.

    Science.gov (United States)

    Perry, Anamarija M; Perner, Yvonne; Diebold, Jacques; Nathwani, Bharat N; MacLennan, Kenneth A; Müller-Hermelink, Hans K; Bast, Martin; Boilesen, Eugene; Armitage, James O; Weisenburger, Dennis D

    2016-03-01

    Comparative data on the distribution of non-Hodgkin lymphoma (NHL) subtypes in Southern Africa (SAF) is scarce. In this study, five expert haematopathologists classified 487 consecutive cases of NHL from SAF using the World Health Organization classification, and compared the results to North America (NA) and Western Europe (WEU). Southern Africa had a significantly lower proportion of low-grade (LG) B-NHL (34·3%) and a higher proportion of high-grade (HG) B-NHL (51·5%) compared to WEU (54·5% and 36·4%) and NA (56·1% and 34·3%). High-grade Burkitt-like lymphoma was significantly more common in SAF (8·2%) than in WEU (2·4%) and NA (2·5%), most likely due to human immunodeficiency virus infection. When SAF patients were divided by race, whites had a significantly higher frequency of LG B-NHL (60·4%) and a lower frequency of HG B-NHL (32·7%) compared to blacks (22·5% and 62·6%), whereas the other races were intermediate. Whites and other races had a significantly higher frequency of follicular lymphoma and a lower frequency of Burkitt-like lymphoma compared to blacks. The median ages of whites with LG B-NHL, HG B-NHL and T-NHL (64, 56 and 67 years) were significantly higher than those of blacks (55, 41 and 34 years). Epidemiological studies are needed to better understand these differences. PMID:26898194

  19. Text document classification

    Czech Academy of Sciences Publication Activity Database

    Novovičová, Jana

    č. 62 (2005), s. 53-54. ISSN 0926-4981 R&D Projects: GA AV ČR IAA2075302; GA AV ČR KSK1019101; GA MŠk 1M0572 Institutional research plan: CEZ:AV0Z10750506 Keywords : document representation * categorization * classification Subject RIV: BD - Theory of Information

  20. Qatar content classification

    OpenAIRE

    Handosa, Mohamed

    2014-01-01

    Short title: Qatar content classification. Long title: Develop methods and software for classifying Arabic texts into a taxonomy using machine learning. Contact person and their contact information: Tarek Kanan, . Project description: Starting 4/1/2012, and running through 12/31/2015, is a project to advance digital libraries in the country of Qatar. This is led by VT, but also involves Penn State, Texas A&M, and Qatar University. Tarek is a GRA on this effort. His di...

  1. Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project

    Directory of Open Access Journals (Sweden)

    Recep Gundogan

    2008-02-01

    Full Text Available The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by preprocessingsatellite sensor imagery since the electromagnetic radiation signals received by the satellitesensors can be scattered and absorbed by the atmospheric gases and aerosols. In this study,an ASTER sensor imagery, which was converted into top-of-atmosphere reflectance(TOA, was used to classify the land use/cover types, according to COoRdination ofINformation on the Environment (CORINE land cover nomenclature, for an arearepresenting the heterogonous characteristics of eastern Mediterranean regions inKahramanmaras, Turkey. The results indicated that using the surface reflectance data ofASTER sensor imagery can provide accurate (i.e. overall accuracy and kappa values of83.2% and 0.79, respectively and low-cost cover mapping as a part of inventory forCORINE Land Cover Project.

  2. Valence-bond crystals in the kagomé spin-1/2 Heisenberg antiferromagnet: a symmetry classification and projected wave function study

    International Nuclear Information System (INIS)

    In this paper, we do a complete classification of valence-bond crystals (VBCs) on the kagomé lattice based on general arguments of symmetry only and thus identify many new VBCs for different unit cell sizes. For the spin-1/2 Heisenberg antiferromagnet, we study the relative energetics of competing gapless spin liquids (SLs) and VBC phases within the class of Gutzwiller-projected fermionic wave functions using variational Monte Carlo techniques, hence implementing exactly the constraint of one fermion per site. By using a state-of-the-art optimization method, we conclusively show that the U(1) Dirac SL is remarkably stable towards dimerizing into all 6-, 12- and 36-site unit cell VBCs. This stability is also preserved on addition of a next-nearest-neighbor super-exchange coupling of both antiferromagnetic and ferromagnetic (FM) type. However, we find that a 36-site unit cell VBC is stabilized on addition of a very small next-nearest-neighbor FM super-exchange coupling, i.e. |J2| ≈ 0.045, and this VBC is the same in terms of space-group symmetry as that obtained in an effective quantum dimer model study. It breaks reflection symmetry, has a nontrivial flux pattern and is a strong dimerization of the uniform RVB SL. (paper)

  3. Electroacoustical simulation of listening room acoustics for project ARCHIMEDES

    OpenAIRE

    Bech, Søren

    1989-01-01

    ARCHIMEDES is a psychoacoustics research project, funded under the European EUREKA scheme. Three partners share the work involved: The Acoustics Laboratory of The Technical University of Denmark; Bang and Olufsen of Denmark; and KEF Electronics of England. Its primary object is to quantify the influence of listening room acoustics on the timbre of reproduced sound. For simulation of the acoustics of a standard listening room, an electroacoustic setup has been built in an anechoic chamber. The...

  4. Strategic Classification

    OpenAIRE

    Hardt, Moritz; Megiddo, Nimrod; Papadimitriou, Christos; Wootters, Mary

    2015-01-01

    Machine learning relies on the assumption that unseen test instances of a classification problem follow the same distribution as observed training data. However, this principle can break down when machine learning is used to make important decisions about the welfare (employment, education, health) of strategic individuals. Knowing information about the classifier, such individuals may manipulate their attributes in order to obtain a better classification outcome. As a result of this behavior...

  5. Supernova Photometric Classification Challenge

    CERN Document Server

    Kessler, Richard; Jha, Saurabh; Kuhlmann, Stephen

    2010-01-01

    We have publicly released a blinded mix of simulated SNe, with types (Ia, Ib, Ic, II) selected in proportion to their expected rate. The simulation is realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point spread function and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Sky Survey-II (SDSS-II). We challenge scientists to run their classification algorithms and report a type for each SN. A spectroscopically confirmed subset is provided for training. The goals of this challenge are to (1) learn the relative strengths and weaknesses of the different classification algorithms, (2) use the results to improve classification algorithms, and (3) understand what spectroscopically confirmed sub-...

  6. NOAA Point Shapefile- Benthic Habitat Classifications from Phantom S2 ROV Underwater Video, US Virgin Islands, Project NF-05-05, 2005, UTM 20N WGS84

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a point shapefile with benthic habitat classifications of vertical relief, geomorphological structure, substrate, and biological cover for...

  7. NOAA Point Shapefile- Benthic Habitat Classifications from Phantom S2 ROV Underwater Video, US Virgin Islands, Project NF-06-03, 2006, UTM 20N WGS84

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a point shapefile with benthic habitat classifications of vertical relief, geomorphological structure, substrate, and biological cover for...

  8. Projection Pursuit Model of Immune Evolution and Its Application to Text Classification%免疫进化的投影寻踪模型在文本分类中的应用

    Institute of Scientific and Technical Information of China (English)

    廖海波; 万中英; 王明文

    2011-01-01

    Projection pursuit is used to find the projection direction which reflect the intrinsic structure and features of the original data. So the high dimensional data can be studied and analyzed through lower dimensional space. For the curse of dimensionality in text classification, the multi-dimensional data is turned into low-dimensional space by using projection pursuit model. The nature of the problem is that it is difficult to determine the direction of projection pursuit and the calculation is not easy,especially when the projection direction has more indicators. This paper proposed the projection pursuit model using immune evolution algorithm, which can effectively solve the optimization problem of the projection direction. In the experiment,it's applied to text classification including the Reuters-21578 document sets and FuDan document sets. The experimental results show that this method can not only solve the curse of dimensionality in text classification,but also obtain a satisfactory classification results.%投影寻踪是通过寻找最能反映原高维数据的结构或特征的投影方向,把高维数据投影到低维子空间上,从而实现在低维空间上研究分析高维数据的目的.针对文本分类中维数灾难问题,采用投影寻踪模型,将高维的文本数据降到超低维.投影寻踪的关键是构造能够找到最佳投影方向的有效算法,本文根据免疫进化的思想提出了免疫进化的投影寻踪模型,该模型能有效地寻找最佳的投影方向.将该方法应用于Reuters-21578文档集和复旦文档集,实验结果表明此方法不仅能有效解决文本分类中难数灾难问题,而且得到了很好的分类性能.

  9. Transporter Classification Database (TCDB)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  10. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula

    2015-01-01

    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are no...... software packages such as SPM, FSL, and FreeSurfer....

  11. Radio Frequency Anechoic Chamber Facility

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Supports the design, manufacture, and test of antenna systems. The facility is also used as an electromagnetic compatibility/radio frequency interference...

  12. Low-Power Anechoic Chamber

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Develops and evaluates the effectiveness of electronic attack (EA) techniques against antiship cruise missiles. All terminal countermeasures programmed in...

  13. Automated Stellar Spectral Classification

    Science.gov (United States)

    Bailer-Jones, Coryn; Irwin, Mike; von Hippel, Ted

    1996-05-01

    Stellar classification has long been a useful tool for probing important astrophysical phenomena. Beyond simply categorizing stars it yields fundamental stellar parameters, acts as a probe of galactic abundance distributions and gives a first foothold on the cosmological distance ladder. The MK system in particular has survived on account of its robustness to changes in the calibrations of the physical parameters. Nonetheless, if stellar classification is to continue as a useful tool in stellar surveys, then it must adapt to keep pace with the large amounts of data which will be acquired as magnitude limits are pushed ever deeper. We are working on a project to automate the multi-parameter classification of visual stellar spectra, using artificial neural networks and other techniques. Our techniques have been developed with 10,000 spectra (B Analysis as a front-end compression of the data. Our continuing work also looks at the application of synthetic spectra to the direct classification of spectra in terms of the physical parameters of Teff, log g, and [Fe/H].

  14. 基于支持向量机的农业科技项目分类研究%Research of Using Support Vector Machine to Carry out Agricultural Technology Projects Classification

    Institute of Scientific and Technical Information of China (English)

    王喜宾; 张小平; 王翰虎; 孙兴

    2011-01-01

    农业科技项目投入是解决“三农问题”的关键途径,而农业科技项目分类是农业科技项目投入的参考依据.支持向量机( SVM)是借助最优化方法解决分类问题的方法,较好地克服了“维数灾难”和“有限样本的学习分类”等问题.通过选择不同的核函数和对应的参数可以构造不同的分类器,参数的选择决定了其学习和泛化能力.为此,提出了粒子群优化(PSO)算法和K-折交叉验证来搜索最优参数,并将其应用到农业科技项目分类中.实验结果表明,该方法搜索到的参数达到了较高的准确率,对农业科技项目分类分析有较大的帮助.%The key way to solve the problems of agriculture, rural areas and farmers is to increase the investment of agricultural technology project, and agricultural technology project classification is the reference of agricultural technology project investment. Support Vector Machine (SVM) is an approach to solve classification problem by using optimization method. It can construct different classifiers by choosing different kernel functions and corresponding parameter and parameters choice decides SVM s abilities of learning and generalization. To this end, Particle Swarm Optimization (PSO) algorithm and K-fold cross-validation are proposed to search the optimal parameters and take them into the practice of agricultural technology project classification. The result of experiment shows that the parameters searched by Particle Swarm Optimization algorithm and K-fold cross-validation are more precise, which have a great help in analysis of agricultural technology project classification.

  15. Automatic genre classification of English students' argumentative essays using support vector machines / by Sabrina Raaff

    OpenAIRE

    Raaff, Sabrina

    2007-01-01

    Automatic text classification refers to the classification of texts according to topic. Similar to text classification is the automatic classification of texts based on stylistic aspect of texts, such as automatic genre classification, where texts are classified according to their genre. This is the classification task that concerns this research project.* The project seeks to examine the genre of the argumentative essay, in order to develop a genre classifier, using an automatic genre cla...

  16. WHO传统医学国际疾病分类项目介绍%Introduction of the World Health Organization project of the International Classification of Traditional Medicine

    Institute of Scientific and Technical Information of China (English)

    高鹏飞; Kenji Watanabe

    2011-01-01

    The World Health Organization plans to incorporate “traditional medicine” into the next revision of its International Classification of Diseases- Version 11 (ICD-11).If traditional medicine is included in ICD-11,it is definitely an epoch-making issue.The expected result is the International Classification of Traditional Medicine,China,Japan and Korea Version (ICTMCJK).The intention of the ICTM project is not only beneficial for traditional medical components,but also might be beneficial for Western biomedicine.For this shared purpose,China,Japan and Korea must understand the meaning of this project and collaborate to develop it.%世界卫生组织计划在“国际疾病分类第11版(International Classification of Diseases-11,ICD-11)”中加入“传统医学”这一部分,预期的版本是“传统医学国际分类-中日韩三国版”.传统医学加入ICD-11,有非常重大深远的意义.传统医学的国际分类的建立,不仅有利于传统医学,也有利于西方医学.所以,中、日、韩三国必须充分理解这个项目的意义和难得的现实机遇,相互进行密切合作来实现这一目标.

  17. Classification in Australia.

    Science.gov (United States)

    McKinlay, John

    Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

  18. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary cla...... classification research focus on contextual information as the guide for the design and construction of classification schemes....

  19. Multi-borders classification

    OpenAIRE

    Mills, Peter

    2014-01-01

    The number of possible methods of generalizing binary classification to multi-class classification increases exponentially with the number of class labels. Often, the best method of doing so will be highly problem dependent. Here we present classification software in which the partitioning of multi-class classification problems into binary classification problems is specified using a recursive control language.

  20. Correlation Dimension Estimation for Classification

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel; Jiřina jr., M.

    2006-01-01

    Roč. 1, č. 3 (2006), s. 547-557. ISSN 1895-8648 R&D Projects: GA MŠk(CZ) 1M0567 Institutional research plan: CEZ:AV0Z10300504 Keywords : correlation dimension * probability density estimation * classification * UCI MLR Subject RIV: BA - General Mathematics

  1. Classification Using the Zipfian Kernel

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel; Jiřina jr., M.

    2015-01-01

    Roč. 32, č. 2 (2015), s. 305-326. ISSN 0176-4268 R&D Projects: GA TA ČR TA01010490 Institutional support: RVO:67985807 Keywords : kernel machine * Zipfian kernel * multivariate data * correlation dimension * harmonic series * classification Subject RIV: JC - Computer Hardware ; Software Impact factor: 0.727, year: 2014

  2. Classification and knowledge

    Science.gov (United States)

    Kurtz, Michael J.

    1989-01-01

    Automated procedures to classify objects are discussed. The classification problem is reviewed, and the relation of epistemology and classification is considered. The classification of stellar spectra and of resolved images of galaxies is addressed.

  3. Hazard classification methodology

    International Nuclear Information System (INIS)

    This document outlines the hazard classification methodology used to determine the hazard classification of the NIF LTAB, OAB, and the support facilities on the basis of radionuclides and chemicals. The hazard classification determines the safety analysis requirements for a facility

  4. Remote Sensing Information Classification

    Science.gov (United States)

    Rickman, Douglas L.

    2008-01-01

    This viewgraph presentation reviews the classification of Remote Sensing data in relation to epidemiology. Classification is a way to reduce the dimensionality and precision to something a human can understand. Classification changes SCALAR data into NOMINAL data.

  5. On music genre classification via compressive sampling

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2013-01-01

    Recent work \\cite{Chang2010} combines low-level acoustic features and random projection (referred to as ``compressed sensing'' in \\cite{Chang2010}) to create a music genre classification system showing an accuracy among the highest reported for a benchmark dataset. This not only contradicts...... previous findings that suggest low-level features are inadequate for addressing high-level musical problems, but also that a random projection of features can improve classification. We reproduce this work and resolve these contradictions....

  6. Real time automatic scene classification

    OpenAIRE

    Israël, Menno; Broek, van den, Wouter; Putten, van, M.J.A.M.; Uyl, den, T.M.; Verbrugge, R.; Taatgen, N.; Schomaker, L.

    2004-01-01

    This work has been done as part of the EU VICAR (IST) project and the EU SCOFI project (IAP). The aim of the first project was to develop a real time video indexing classification annotation and retrieval system. For our systems, we have adapted the approach of Picard and Minka [3], who categorized elements of a scene automatically with so-called ’stuff’ categories (e.g., grass, sky, sand, stone). Campbell et al. [1] use similar concepts to describe certain parts of an image, which they named...

  7. Pattern classification

    CERN Document Server

    Duda, Richard O; Stork, David G

    2001-01-01

    The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

  8. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  9. EUDP Project: Low Noise Airfoil - Final Report

    DEFF Research Database (Denmark)

    to develop and implement a design procedure to manufacture airfoil profiles with low noise emission. The project involved two experimental campaigns: one in the LM Wind Power wind tunnel, a classical aerodynamic wind tunnel, in Lunderskov (DK), the second one in the Virginia Tech Stability Wind...... Tunnel at the Aerospace and Ocean Engineering Department of Virginia Tech (Blacksburg, VA,(USA), also a classical aerodynamic wind tunnel but equipped with an anechoic chamber that allow to perform acoustic measurements. On the theoretical side, the above experiments yield a series of model validations......This document summarizes the scientific results achieved during the EUDP-funded project `Low-Noise Airfoil'. The goals of this project are, on one side to develop a measurement technique that permits the evaluation of trailing edge noise in a classical aerodynamic wind tunnel, and on the other side...

  10. Landscape Measures of Rangeland Condition in the BLM Owyhee Pilot Project: Shrub Canopy Mapping, Vegetation Classification, and Detection of Anomalous Land Areas

    Energy Technology Data Exchange (ETDEWEB)

    Tagestad, Jerry D.; Downs, Janelle L.

    2007-12-28

    In 2006, the BLM tasked PNNL to collaborate in research being conducted under the Owyhee Uplands Pilot Project to assess rangeland condition. The objective of this effort was to provide Owyhee Uplands Pilot Project with a sophisticated suite of data and tools to assist in evaluating the health and condition of the Owyhee Uplands study area. We focused on three technical areas. The first involved enhancing existing algorithms to estimate shrub canopy cover in the Lower Reynolds Creek Watershed. The second task involved developing and applying a strategy to assess and compare three vegetation map products for the Idaho portion of the Owyhee study area. The third task developed techniques and data that can be used to identify areas exhibiting anomalous rangeland conditions (for example exotic plants or excessive bare soil exposure). This report documents the methods used, results obtained, and conclusions drawn.

  11. ACCUWIND - Methods for classification of cup anemometers

    Energy Technology Data Exchange (ETDEWEB)

    Dahlberg, J.Aa.; Friis Pedersen, T.; Busche, P.

    2006-05-15

    Errors associated with the measurement of wind speed are the major sources of uncertainties in power performance testing of wind turbines. Field comparisons of well-calibrated anemometers show significant and not acceptable difference. The European CLASSCUP project posed the objectives to quantify the errors associated with the use of cup anemometers, and to develop a classification system for quantification of systematic errors of cup anemometers. This classification system has now been implemented in the IEC 61400-12-1 standard on power performance measurements in annex I and J. The classification of cup anemometers requires general external climatic operational ranges to be applied for the analysis of systematic errors. A Class A category classification is connected to reasonably flat sites, and another Class B category is connected to complex terrain, General classification indices are the result of assessment of systematic deviations. The present report focuses on methods that can be applied for assessment of such systematic deviations. A new alternative method for torque coefficient measurements at inclined flow have been developed, which have then been applied and compared to the existing methods developed in the CLASSCUP project and earlier. A number of approaches including the use of two cup anemometer models, two methods of torque coefficient measurement, two angular response measurements, and inclusion and exclusion of influence of friction have been implemented in the classification process in order to assess the robustness of methods. The results of the analysis are presented as classification indices, which are compared and discussed. (au)

  12. Fuzzy classification rules based on similarity

    Czech Academy of Sciences Publication Activity Database

    Holeňa, Martin; Štefka, D.

    Seňa : PONT s.r.o., 2012 - (Horváth, T.), s. 25-31 ISBN 978-80-971144-0-4. [ITAT 2012. Conference on Theory and Practice of Information Technologies. Ždiar (SK), 17.09.2012-21.09.2012] R&D Projects: GA ČR GA201/08/0802 Institutional support: RVO:67985807 Keywords : classification rules * fuzzy classification * fuzzy integral * fuzzy measure * similarity Subject RIV: IN - Informatics, Computer Science

  13. Automatic document classification of biological literature

    OpenAIRE

    Sternberg Paul W; Müller Hans-Michael; Chen David

    2006-01-01

    Abstract Background Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, a text-mining system for biological literature, which marks up full text according to a shallow ontology that includes terms of biological interest. This project investigates document classification in the context of biological literature, making use of the Textpresso markup of a corpus of Caenorhabditis eleg...

  14. Deep neural networks for spam classification

    OpenAIRE

    Kasmani, Mohamed Khizer

    2013-01-01

    This project elucidates the development of a spam filtering method using deep neural networks. A classification model employing algorithms such as Error Back Propagation (EBP) and Restricted Boltzmann Machines (RBM) is used to identify spam and non-spam emails. Moreover, a spam classification system employing deep neural network algorithms is developed, which has been tested on Enron email dataset in order to help users manage large volumes of email and, furthermore, their email folders. The ...

  15. ACCUWIND - Methods for classification of cup anemometers

    OpenAIRE

    Dahlberg, J.-Å.; Friis Pedersen, Troels; Busche, P.

    2006-01-01

    Errors associated with the measurement of wind speed are the major sources of uncertainties in power performance testing of wind turbines. Field comparisons of well-calibrated anemometers show significant and not acceptable difference. The EuropeanCLASSCUP project posed the objectives to quantify the errors associated with the use of cup anemometers, and to develop a classification system for quantification of systematic errors of cup anemometers. This classification system has now been imple...

  16. Sports Type Classification using Signature Heatmaps

    DEFF Research Database (Denmark)

    Gade, Rikke; Moeslund, Thomas B.

    Automatic classification of activities in a sports arena is important in order to analyse and optimise the use of the arenas. In this work we classify five sports types based only on occupancy heatmaps produced from position data. Due to privacy issues we use thermal imaging for detecting people...... and then calculate their positions on the court us- ing homography. Heatmaps are produced by summarising Gaussian distributions respresenting people over 10-minute periods. Before classification the heatmaps are projected to a low-dimensional discriminative space using the principle of Fisherfaces....... Our result using two weeks of video are very promising with a correct classification of 90.76 %....

  17. Plant leaf image classification based on supervised orthogonal locality preserving projections%基于监督正交局部保持映射的植物叶片图像分类方法

    Institute of Scientific and Technical Information of China (English)

    张善文; 张传雷; 程雷

    2013-01-01

    problem degrades the recognition performance of these algorithms. To overcome the problem, a supervised orthogonal LPP (SOLPP) algorithm is presented and applied to the plant classification by using leaf images, based on locality preserving projections (LPP). LPP can be trained and applied as a linear projection and can model feature vectors that are assumed to lie on a nonlinear embedding subspace by preserving local relations among input features, so it has an advantage over conventional linear dimensionality reduction algorithms like principal components analysis (PCA) and linear discriminant analysis (LDA). First, the class information matrix is computed by the Warshall algorithm, which is an efficient method for computing the transitive closure of a relationship. It takes a matrix as input to represent the relationship of the observed data, and outputs a matrix of the transitive closure of the original data relationship. Based on the matrix, the within-class and between-class matrices are obtained by making full use of the local information and class information of the data. After dimensionality reduction, in subspace space, the distances between the same-class samples become smaller, while the distances between the different-class samples become larger. This characteristic can improve the classifying performance of the proposed algorithm. Compared with the classical subspace supervised dimensional reduction algorithms, in the proposed method, it is not necessary to judge whether any two samples belong to the same class or not when constructing the within-class and between-class scatter matrices, which can improve the classifying performance of the proposed algorithm. Finally, the K-nearest neighborhood classifier is applied to classifying plants. Comparison experiments with other existing algorithms, such as neighborhood rough set(NRS), support vector machine(SVM), efficient moving center hypersphere(MCH), modified locally linear discriminant embedding(MLLDE) and

  18. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M;

    2008-01-01

    the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

  19. Classification of articulators.

    Science.gov (United States)

    Rihani, A

    1980-03-01

    A simple classification in familiar terms with definite, clear characteristics can be adopted. This classification system is based on the number of records used and the adjustments necessary for the articulator to accept these records. The classification divides the articulators into nonadjustable, semiadjustable, and fully adjustable articulators (Table I). PMID:6928204

  20. 大型工程项目利益相关者分类%Stakeholders classification of large-scale project

    Institute of Scientific and Technical Information of China (English)

    王进; 许玉洁

    2009-01-01

    通过问卷调查,对大型工程项目的利益相关者进行初选,确定了12类关键利益相关者.并采用SPSS统计软件分析,从紧迫性、影响性和主动性及综合维度得到12类关键利益相关者的分类,确定核心型(建设单位、承包商)、战略型(勘察设计单位、材料设备供应商、投资人、监理单位、政府部门、运营方、高层管理人员)及外围型(员工、工程项目所在社区、环保部门)3类大型工程项目关键利益相关者,并探讨对不同利益相关者选取存在差异性的原因,为项目管理者更好地把握和协调核心利益相关者的利益诉求提供了借鉴.%Through the questionnaire survey method,the stakeholders of large-scale project was defined,and its twelve key kinds of stakeholders were determined. Furthermore,using the SPSS statistical software and analyzing from the dimensions of urgency,influence,initiative and integrated dimension,the twelve key stakeholders were devided into these kinds,i.e.,the core type(including the owners,the contractors),the strategy type(including the reconnaissance and design companies,the materials and equipment suppliers,the investors,the supervisors,the government officer,the operators,the senior managers),and the peripheral type(including project staff,the community and the environmental protection departments). And then the reasons of difference in key stakeholder selection was discussed. It can provide a reference to help the project managers to better handle and coordinate the benefit requirements of the core stakeholders.

  1. A Study on the Classification and Well-Logging Identification of Eclogite in the Main Hole of Chinese Continental Scientific Drilling Project

    Institute of Scientific and Technical Information of China (English)

    Jing Jian'en; Wei Wenbo; Jin Sheng; Ye Gaofeng; Deng Ming

    2007-01-01

    Eclogite, one of the important lithologies in the main hole of the Chinese Continental Scientific Drilling (CCSD) Project, exists above the depth of 3 245 m and has distinctive responses of gamma-ray, compensating density and neutron well-logging, and so on. In this study, according to the diversities of minerals and chemical components and well-logging responses, eclogites are classified from three aspects of origin, content of oxygen, and sub-mineral. We studied the logging identification method for eclogite sub-classes based on multi-element statistics and reconstructed 11 kinds of eclogite.As a result, eclogites can be divided into 6 types using well logs. In the light of this recognition, the eclogite in the main hole is divided into 20 sections, and the distribution characters of all sub-classes of eclogite are analyzed, which will provide important data for geological research of CCSD.

  2. Project 'Wind database Lower Aare Valley'. Classification of windfields: a diagnostic tool for real-time determination of local air pollution dispersion

    International Nuclear Information System (INIS)

    In the framework of the project 'Windbank unteres Aaretal' local winds over complex terrain were measured over a 4 month period with a dense network of 43 meteorological stations. Based on these data, a cluster analysis is used to identify 13 different typical wind fields persisting up to a maximum of 19 hours over the region. The question was arisen: what is a minimum subset of representative stations to identify the classes of almost all hours correctly? With a subset of 21 stations a 'hitting rate' of 90% and with a subset of 6 stations a hitting rate of 75% of all hours was achieved. For every class, the mean wind vectors at all stations were interpolated to form a windfield over a regular grid. These windfields were used to calculate typical dispersion scenarios for a hypothetical source. (author) 17 figs., tabs., refs

  3. The Chemical Abundances of Stars in the Halo (CASH) Project. III. A New Classification Scheme for Carbon-Enhanced Metal-poor Stars with S-process Element Enhancement

    CERN Document Server

    Hollek, Julie K; Placco, Vinicius M; Karakas, Amanda I; Shetrone, Matthew; Sneden, Christopher; Christlieb, Norbert

    2015-01-01

    We present a detailed abundance analysis of 23 elements for a newly discovered carbon-enhanced metal-poor (CEMP) star, HE 0414-0343, from the Chemical Abundances of Stars in the Halo (CASH) Project. Its spectroscopic stellar parameters are Teff = 4863 K, log g = 1.25, vmic = 2.20 km/s, and [Fe/H] = -2.24. Radial velocity measurements covering seven years indicate HE 0414-0343 to be a binary. HE 0414-0343 has [C/Fe] = 1.44 and is strongly enhanced in neutron-capture elements but its abundances cannot be reproduced by a solar-type s-process pattern alone. Traditionally, it could be classified as "CEMP-r/s" star. Based on abundance comparisons with AGB star nucleosynthesis models, we suggest a new physically-motivated origin and classification scheme for CEMP-s stars and the still poorly-understood CEMP-r/s. The new scheme describes a continuous transition between these two so-far distinctly treated subgroups: CEMP-sA, CEMP-sB, and CEMP-sC. Possible causes for a continuous transition include the number of therma...

  4. Recursive heuristic classification

    Science.gov (United States)

    Wilkins, David C.

    1994-01-01

    The author will describe a new problem-solving approach called recursive heuristic classification, whereby a subproblem of heuristic classification is itself formulated and solved by heuristic classification. This allows the construction of more knowledge-intensive classification programs in a way that yields a clean organization. Further, standard knowledge acquisition and learning techniques for heuristic classification can be used to create, refine, and maintain the knowledge base associated with the recursively called classification expert system. The method of recursive heuristic classification was used in the Minerva blackboard shell for heuristic classification. Minerva recursively calls itself every problem-solving cycle to solve the important blackboard scheduler task, which involves assigning a desirability rating to alternative problem-solving actions. Knowing these ratings is critical to the use of an expert system as a component of a critiquing or apprenticeship tutoring system. One innovation of this research is a method called dynamic heuristic classification, which allows selection among dynamically generated classification categories instead of requiring them to be prenumerated.

  5. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  6. Definition and Classification of Stakeholders in the Regulation of Government Agent-construction Project%论政府投资代建制项目监管利益相关者的界定与分类

    Institute of Scientific and Technical Information of China (English)

    吴仲兵; 姚兵; 刘伊生

    2011-01-01

    利益相关者分析作为一种社会学的定性分析方法,主要用来识别和把握利益相关者的多种诉求,既包括经济因素,也包括道德、政治、法律和技术利益等非经济因素.将利益相关者分析运用到政府投资代建制监管体系的研究中,有利于看清监管体系的全景(big picture).通过对政府投资代建制项目监管利益相关者的界定和分类,可以清楚地了解各利益相关者的利益诉求和冲突,辩明这些利益相关者在参与政府投资代建制项目监管过程中的伦理思维和特征,从而制定出更加符合实际、更有成效的监管措施.%As a qualitative sociological analysis method, stakeholder analysis is principally used to identify and comprehend the various interest demands of stakeholders, which include not only economic factors but also moral, political, legal and technical interest of the non-economic factors.Applying stakeholder analysis to the research of government agent-construction project will be helpful to see the big picture of regulation system.Through definition and classification of stakeholders in the regulation of government agent-construction project, we can clearly understand the interests of all stakeholder's demands and conflict, and can comprehend ethics and characteristics of such stakeholder that involved in government agent-construction project regulation process.Thereby, it can make out more practical and more effective regulatory measures.

  7. Classiology and soil classification

    Science.gov (United States)

    Rozhkov, V. A.

    2012-03-01

    Classiology can be defined as a science studying the principles and rules of classification of objects of any nature. The development of the theory of classification and the particular methods for classifying objects are the main challenges of classiology; to a certain extent, they are close to the challenges of pattern recognition. The methodology of classiology integrates a wide range of methods and approaches: from expert judgment to formal logic, multivariate statistics, and informatics. Soil classification assumes generalization of available data and practical experience, formalization of our notions about soils, and their representation in the form of an information system. As an information system, soil classification is designed to predict the maximum number of a soil's properties from the position of this soil in the classification space. The existing soil classification systems do not completely satisfy the principles of classiology. The violation of logical basis, poor structuring, low integrity, and inadequate level of formalization make these systems verbal schemes rather than classification systems sensu stricto. The concept of classification as listing (enumeration) of objects makes it possible to introduce the notion of the information base of classification. For soil objects, this is the database of soil indices (properties) that might be applied for generating target-oriented soil classification system. Mathematical methods enlarge the prognostic capacity of classification systems; they can be applied to assess the quality of these systems and to recognize new soil objects to be included in the existing systems. The application of particular principles and rules of classiology for soil classification purposes is discussed in this paper.

  8. Efficient Pairwise Multilabel Classification

    OpenAIRE

    Loza Mencía, Eneldo

    2013-01-01

    Multilabel classification learning is the task of learning a mapping between objects and sets of possibly overlapping classes and has gained increasing attention in recent times. A prototypical application scenario for multilabel classification is the assignment of a set of keywords to a document, a frequently encountered problem in the text classification domain. With upcoming Web 2.0 technologies, this domain is extended by a wide range of tag suggestion tasks and the trend definitely...

  9. Efficient multivariate sequence classification

    OpenAIRE

    Kuksa, Pavel P.

    2014-01-01

    Kernel-based approaches for sequence classification have been successfully applied to a variety of domains, including the text categorization, image classification, speech analysis, biological sequence analysis, time series and music classification, where they show some of the most accurate results. Typical kernel functions for sequences in these domains (e.g., bag-of-words, mismatch, or subsequence kernels) are restricted to {\\em discrete univariate} (i.e. one-dimensional) string data, such ...

  10. Classifier in Age classification

    OpenAIRE

    B. Santhi; R.Seethalakshmi

    2012-01-01

    Face is the important feature of the human beings. We can derive various properties of a human by analyzing the face. The objective of the study is to design a classifier for age using facial images. Age classification is essential in many applications like crime detection, employment and face detection. The proposed algorithm contains four phases: preprocessing, feature extraction, feature selection and classification. The classification employs two class labels namely child and Old. This st...

  11. Aircraft Operations Classification System

    Science.gov (United States)

    Harlow, Charles; Zhu, Weihong

    2001-01-01

    Accurate data is important in the aviation planning process. In this project we consider systems for measuring aircraft activity at airports. This would include determining the type of aircraft such as jet, helicopter, single engine, and multiengine propeller. Some of the issues involved in deploying technologies for monitoring aircraft operations are cost, reliability, and accuracy. In addition, the system must be field portable and acceptable at airports. A comparison of technologies was conducted and it was decided that an aircraft monitoring system should be based upon acoustic technology. A multimedia relational database was established for the study. The information contained in the database consists of airport information, runway information, acoustic records, photographic records, a description of the event (takeoff, landing), aircraft type, and environmental information. We extracted features from the time signal and the frequency content of the signal. A multi-layer feed-forward neural network was chosen as the classifier. Training and testing results were obtained. We were able to obtain classification results of over 90 percent for training and testing for takeoff events.

  12. Aspects de la classification

    OpenAIRE

    Mari, Jean-François; Napoli, Amedeo

    1996-01-01

    Les techniques de classification numérique ont toujours été présentes en reconnaissance des formes. Les réseaux de neurones montrent chaque jour leurs (très ?) bonnes propriétés de classification, et la classification se fait de plus en plus présente en représentation des connaissances. Ainsi, ce rapport présente, simplement dans un but introductif, les aspects mathématiques, statistiques, neuromimétiques et cognitifs de la classification.

  13. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta...... data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...... classification systems and meta data taxonomies, should be based on ontologies....

  14. Analysis of a Bibliographic Database Enhanced with a Library Classification.

    Science.gov (United States)

    Drabenstott, Karen Markey; And Others

    1990-01-01

    Describes a project that examined the effects of incorporating subject terms from the Dewey Decimal Classification (DDC) into a bibliographic database. It is concluded that the incorporation of DDC and possibly other library classifications into online catalogs can enhance subject access and provide additional subject searching strategies. (11…

  15. Correlation Integral Decomposition for Classification

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel; Jiřina jr., M.

    Vol. Part II. Berlin : Springer, 2008 - (Kůrková, V.; Neruda, R.; Koutník, J.), s. 62-71 ISBN 978-3-540-87558-1. - (Lecture Notes in Computer Science. 5164). [ICANN 2008. International Conference on Artificial Neural Networks /18./. Prague (CZ), 03.09.2008-06.09.2008] R&D Projects: GA MŠk(CZ) 1M0567 Institutional research plan: CEZ:AV0Z10300504 Keywords : correlation integral decomposition * correlation dimension * distribution mapping exponent * probability density estimation * classification Subject RIV: BA - General Mathematics

  16. Ordinal Classification with Monotonicity Constraints

    Czech Academy of Sciences Publication Activity Database

    Horváth, T.; Vojtáš, Peter

    Berlin: Springer, 2006 - (Perner, P.), s. 217-225. (Lecture Notes in Artificial Intelligence. 4065). ISBN 978-3-540-36036-0. [ICDM 2006. Industrial Conference on Data Mining /6./. Leipzig (DE), 14.07.2006-15.07.2006] R&D Projects: GA AV ČR 1ET100300517 Grant ostatní: VEGA(SK) 1/3129/06 Institutional research plan: CEZ:AV0Z10300504 Keywords : monotone * monotonicity constraints * classification * ordinal data Subject RIV: IN - Informatics, Computer Science

  17. Concepts of Classification and Taxonomy. Phylogenetic Classification

    CERN Document Server

    Fraix-Burnet, Didier

    2016-01-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works. 1 Why phylogenetic tools in astrophysics? 1.1 History of classification The need for classifying living organisms is very ancient, and the first classification system can be dated back to the Greeks. The goal was very practical since it was intended to distinguish between eatable and toxic aliments, or kind and dangerous animals. Simple resemblance was used and has been used for centuries. Basically, until the XVIIIth...

  18. 基于VISA和Mint的微波暗室自动测量系统实现%Implemenation of the Microwave Anechoic Chamber Automatic Measuring System Based on VISA and Mint

    Institute of Scientific and Technical Information of China (English)

    李瑞阳; 韦高; 韩旭; 符礼

    2013-01-01

    建立了一套基于VISA和Mint的微波暗室自动测量系统,通过计算机控制矢网和转台以实现高效率的天线与RCS的微波暗室自动测量.在Visual C++开发环境下,运用多线程技术将矢网和转台结合,同时采用VISA和SCPI命令实现矢网的自动控制,采用Mint ActiveX控件技术实现转台的自动控制,该方法易于实现矢网与转台的高效同步.实测表明,该系统操作方便,测量效率、测量精度与自动化程度较高,所采用的控制方法有着较好的通用性和可拓展性,具有广阔的应用前景.%In order to realize efficient automatic antenna and RCS measurement,a microwave anechoic chamber automatic measurement system has been established,using the computer to control the vector network analyzer and the test turntable.In visual C++development environment,the multithread technology is used to combine the vector network analyzer with the test turntable.The vector network analyzer is auto-controlled by VISA and SCPI command ; the test turntable is auto-controlled by Mint ActiveX control technology.The methods are easy to efficiently synchronize the two devices.The actual measurement shows that the system is easy to control,and has high measurement efficiency,high precision,and high automaticity.The controlling method has broad application prospects for it has good universality and is easy to expand.

  19. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  20. Musings on galaxy classification

    International Nuclear Information System (INIS)

    Classification schemes and their utility are discussed with a number of examples, particularly for cD galaxies. Data suggest that primordial turbulence rather than tidal torques is responsible for most of the presently observed angular momentum of galaxies. Finally, some of the limitations on present-day schemes for galaxy classification are pointed out. 54 references, 4 figures, 3 tables

  1. NOAA Point Shapefile- Benthic Habitat Classifications from Phantom S2 ROV Underwater Video, US Virgin Islands, Project NF-05-05, 2005, UTM 20N WGS84 (NCEI Accession (0131860)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a point shapefile with benthic habitat classifications of vertical relief, geomorphological structure, substrate, and biological cover for...

  2. NOAA Point Shapefile- Benthic Habitat Classifications from Phantom S2 ROV Underwater Video, US Virgin Islands, Project NF-06-03, 2006, UTM 20N WGS84 (NCEI Accession 0131851)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a point shapefile with benthic habitat classifications of vertical relief, geomorphological structure, substrate, and biological cover for...

  3. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases the...... classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...... datasets. Our model also outperforms A Decision Cluster Classification (ADCC) and the Decision Cluster Forest Classification (DCFC) models on the Reuters-21578 dataset....

  4. Pitch Based Sound Classification

    OpenAIRE

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U.

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classif...

  5. Precision Radio Frequency Anechoic Chamber Facility

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Performs measurements and calibration of antennas for satellites and aircraft or groundbased systems. The chamber is primarily used for optimizing antenna...

  6. An approach of harmonic suppression circuit and reactive power compensation in anechoic chamber%一种电波暗室的谐波抑制电路及其无功补偿方法

    Institute of Scientific and Technical Information of China (English)

    袁瑞铭; 巨汉基; 高迪雅; 李斯琪; 丁恒春; 田海亭; 钟侃

    2015-01-01

    Two stages series active power filter are used to harmonic suppression circuit and reactive power compensa-tion in anechoic chamber.The dry-type iron core reactor is shunt between the filter and the load power supply termi-nal.Dry iron core reactor is mainly used for the inhibition of 10kHz and above high-frequency interference.It can ef-fectively suppress high order harmonic, limit switch flow and operate over-voltage, improve power factor and voltage waveform of the system without affecting the filter performance of the series passive power filter.It plays an important role in the safe operation of power capacitor and power equipment.Parallel dry iron core reactor not only solves the problem of voltage variation of different reactor loads at the entrance, but also improves the accuracy and reliability of the performance measurement in electromagnetic compatibility testing.%电波暗室的谐波抑制电路及无功补偿方法采用正向串联的两级串联型无源电力滤波器,滤波器和负载的电源端之间并联干式铁芯电抗器。干式铁芯电抗器主要用于抑制10 kHz及以上的高频干扰,在不影响串联型无源电力滤波器的滤波性能的基础上,抑制高次谐波,限制合闸涌流及操作过电压,改善系统的电压波形,提高功率因数,保障电力电容器及其他电力设备的安全运行,并联干式铁芯电抗器解决了各类负载入口处的电压变化的问题,提高了电磁兼容检测中计量性能的可靠性和准确性。

  7. 基于双层涂敷模型的暗室静区精确计算方法%Calculation method for quiet zone of anechoic chamber based on double layer coating model

    Institute of Scientific and Technical Information of China (English)

    徐若曦; 周鹏; 章锦文

    2015-01-01

    针对大型微波暗室静区性能仿真中,数值方法在高频段效率急剧降低,而传统高频算法计算准确度难以保证的问题,提出一种基于弹跳射线理论的双层涂敷模型仿真方法。该方法利用实测数据,分级地对模型进行计算与校正,双层涂敷模型有效简化了锥形吸波材料,弹跳射线法解决了曲面反射及远场精确求取问题。仿真结果表明:该方法与传统的几何光学法相比,高频段的计算精度显著提高,同时平均计算时间短,消耗内存少。理论分析和仿真结果验证了方法的正确性和有效性。%To solve the problem that the efficiency of numerical method drops sharply at high frequen‐cy and the accuracy of high frequency algorithm is difficult to ensure in the quiet zone performance simulation of large scale anechoic chamber .A simulation method of double layer coating model based on shooting and bouncing ray was proposed .The model using real measurements was calculated and corrected .Double layer coating model simplified the cone wave absorbing materials ,and the shooting and bouncing ray (SBR) method effectively solved the curve reflection and far field accurately obtai‐ning problem .The simulation results indicate that this method can improve precision compared with the traditional method and can reduce time and memory .Both of the theoretical analysis and the simu‐lation results verified the validity and feasibility of the proposed method .

  8. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  9. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    detection in a cardiovascular disease study. The third focus is to deepen the understanding of classification mechanism by visualizing the knowledge learned by a classifier. More specifically, to build the most typical patterns recognized by the Fisher's linear discriminant rule with applications......Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition......, a good metric is required to measure distance or similarity between feature points so that the classification becomes feasible. Furthermore, in order to build a successful classifier, one needs to deeply understand how classifiers work. This thesis focuses on these three aspects of classification...

  10. Creating a Canonical Scientific and Technical Information Classification System for NCSTRL+

    Science.gov (United States)

    Tiffany, Melissa E.; Nelson, Michael L.

    1998-01-01

    The purpose of this paper is to describe the new subject classification system for the NCSTRL+ project. NCSTRL+ is a canonical digital library (DL) based on the Networked Computer Science Technical Report Library (NCSTRL). The current NCSTRL+ classification system uses the NASA Scientific and Technical (STI) subject classifications, which has a bias towards the aerospace, aeronautics, and engineering disciplines. Examination of other scientific and technical information classification systems showed similar discipline-centric weaknesses. Traditional, library-oriented classification systems represented all disciplines, but were too generalized to serve the needs of a scientific and technically oriented digital library. Lack of a suitable existing classification system led to the creation of a lightweight, balanced, general classification system that allows the mapping of more specialized classification schemes into the new framework. We have developed the following classification system to give equal weight to all STI disciplines, while being compact and lightweight.

  11. Inhibition in multiclass classification

    OpenAIRE

    Huerta, Ramón; Vembu, Shankar; Amigó, José M.; Nowotny, Thomas; Elkan, Charles

    2012-01-01

    The role of inhibition is investigated in a multiclass support vector machine formalism inspired by the brain structure of insects. The so-called mushroom bodies have a set of output neurons, or classification functions, that compete with each other to encode a particular input. Strongly active output neurons depress or inhibit the remaining outputs without knowing which is correct or incorrect. Accordingly, we propose to use a classification function that embodies unselective inhibition and ...

  12. Multiple sparse representations classification

    OpenAIRE

    Plenge, Esben; Klein, Stefan; Niessen, Wiro; Meijering, Erik

    2015-01-01

    textabstractSparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In this empirical study we propose to further leverage the redundancy of the learned dictionaries to achieve a more accurate classifier. In conventional SRC, each image pixel is associated with a small...

  13. Multiple Sparse Representations Classification

    OpenAIRE

    Plenge, Esben; Klein, Stefan S.; Niessen, Wiro J.; Meijering, Erik

    2015-01-01

    Sparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In this empirical study we propose to further leverage the redundancy of the learned dictionaries to achieve a more accurate classifier. In conventional SRC, each image pixel is associated with a small patch surro...

  14. Twitter content classification

    OpenAIRE

    Dann, Stephen

    2010-01-01

    This paper delivers a new Twitter content classification framework based sixteen existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.

  15. Text classification method review

    OpenAIRE

    Mahinovs, Aigars; Tiwari, Ashutosh; Roy, Rajkumar; Baxter, David

    2007-01-01

    With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories. With this growth of information and simultaneous growth of available computing power automatic classification of data, particularly textual data, gains increasingly high importance. This paper provides a review of generic text classification process, phases of that process and met...

  16. Automatic Arabic Text Classification

    OpenAIRE

    Al-harbi, S; Almuhareb, A.; Al-Thubaity , A; Khorsheed, M. S.; Al-Rajeh, A.

    2008-01-01

    Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. Text classification aims to automatically assign the text to a predefined category based on linguistic features. Such a process has different useful applications including, but not restricted to, e-mail spam detection, web page content filtering, and automatic message routing. This paper presents the results of experiments on documen...

  17. Classification of Sleep Disorders

    OpenAIRE

    Michael J. Thorpy

    2012-01-01

    The classification of sleep disorders is necessary to discriminate between disorders and to facilitate an understanding of symptoms, etiology, and pathophysiology that allows for appropriate treatment. The earliest classification systems, largely organized according to major symptoms (insomnia, excessive sleepiness, and abnormal events that occur during sleep), were unable to be based on pathophysiology because the cause of most sleep disorders was unknown. These 3 symptom-based categories ar...

  18. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions of...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  19. Classifications of Software Transfers

    OpenAIRE

    Wohlin, Claes; Smite, Darja

    2012-01-01

    Many companies have development sites around the globe. This inevitably means that development work may be transferred between the sites. This paper defines a classification of software transfer types; it divides transfers into three main types: full, partial and gradual transfers to describe the context of a transfer. The differences between transfer types, and hence the need for a classification, are illustrated with staffing curves for two different transfer types. The staffing curves are ...

  20. A New Classification Approach Based on Multiple Classification Rules

    OpenAIRE

    Zhongmei Zhou

    2014-01-01

    A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...

  1. Global change and climate-vegetation classification

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Three phrases of the quantitative study of climate-vegetation classification and their characteristics are presented based on the review of advance in climate-vegetation interaction, a key issue of "global change and terrestrial ecosystems (GCTE)" which is the core project of International Geosphere-Biosphere Programme (IGBP): (ⅰ) characterized by the correlation between natural vegetation types and climate; (ⅱ) characterized by climatic indices which have obviously been restricted to plant ecophysiology; (ⅲ) characterized by coupling both structure and function of vegetation. Thus, the prospective of climate-vegetation classification for global change study in China was proposed, especially the study coupling climate-vegetation classification models with atmospheric general circulation models (GCMs) was emphasized.

  2. Supernova Photometric Lightcurve Classification

    Science.gov (United States)

    Zaidi, Tayeb; Narayan, Gautham

    2016-01-01

    This is a preliminary report on photometric supernova classification. We first explore the properties of supernova light curves, and attempt to restructure the unevenly sampled and sparse data from assorted datasets to allow for processing and classification. The data was primarily drawn from the Dark Energy Survey (DES) simulated data, created for the Supernova Photometric Classification Challenge. This poster shows a method for producing a non-parametric representation of the light curve data, and applying a Random Forest classifier algorithm to distinguish between supernovae types. We examine the impact of Principal Component Analysis to reduce the dimensionality of the dataset, for future classification work. The classification code will be used in a stage of the ANTARES pipeline, created for use on the Large Synoptic Survey Telescope alert data and other wide-field surveys. The final figure-of-merit for the DES data in the r band was 60% for binary classification (Type I vs II).Zaidi was supported by the NOAO/KPNO Research Experiences for Undergraduates (REU) Program which is funded by the National Science Foundation Research Experiences for Undergraduates Program (AST-1262829).

  3. Hierarchical classification of social groups

    OpenAIRE

    Витковская, Мария

    2001-01-01

    Classification problems are important for every science, and for sociology as well. Social phenomena, examined from the aspect of classification of social groups, can be examined deeper. At present one common classification of groups does not exist. This article offers the hierarchical classification of social group.

  4. Product Classification in Supply Chain

    OpenAIRE

    Xing, Lihong; Xu, Yaoxuan

    2010-01-01

    Oriflame is a famous international direct sale cosmetics company with complicated supply chain operation but it lacks of a product classification system. It is vital to design a product classification method in order to support Oriflame global supply planning and improve the supply chain performance. This article is aim to investigate and design the multi-criteria of product classification, propose the classification model, suggest application areas of product classification results and intro...

  5. Concepts of Classification and Taxonomy Phylogenetic Classification

    Science.gov (United States)

    Fraix-Burnet, D.

    2016-05-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works.

  6. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may be...... very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural and...

  7. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  8. Static and wind tunnel near-field/far-field jet noise measurements from model scale single-flow base line and suppressor nozzles. Summary report. [conducted in the Boeing large anechoic test chamber and the NASA-Ames 40by 80-foot wind tunnel

    Science.gov (United States)

    Jaeck, C. L.

    1977-01-01

    A test program was conducted in the Boeing large anechoic test chamber and the NASA-Ames 40- by 80-foot wind tunnel to study the near- and far-field jet noise characteristics of six baseline and suppressor nozzles. Static and wind-on noise source locations were determined. A technique for extrapolating near field jet noise measurements into the far field was established. It was determined if flight effects measured in the near field are the same as those in the far field. The flight effects on the jet noise levels of the baseline and suppressor nozzles were determined. Test models included a 15.24-cm round convergent nozzle, an annular nozzle with and without ejector, a 20-lobe nozzle with and without ejector, and a 57-tube nozzle with lined ejector. The static free-field test in the anechoic chamber covered nozzle pressure ratios from 1.44 to 2.25 and jet velocities from 412 to 594 m/s at a total temperature of 844 K. The wind tunnel flight effects test repeated these nozzle test conditions with ambient velocities of 0 to 92 m/s.

  9. Vertebral fracture classification

    Science.gov (United States)

    de Bruijne, Marleen; Pettersen, Paola C.; Tankó, László B.; Nielsen, Mads

    2007-03-01

    A novel method for classification and quantification of vertebral fractures from X-ray images is presented. Using pairwise conditional shape models trained on a set of healthy spines, the most likely unfractured shape is estimated for each of the vertebrae in the image. The difference between the true shape and the reconstructed normal shape is an indicator for the shape abnormality. A statistical classification scheme with the two shapes as features is applied to detect, classify, and grade various types of deformities. In contrast with the current (semi-)quantitative grading strategies this method takes the full shape into account, it uses a patient-specific reference by combining population-based information on biological variation in vertebra shape and vertebra interrelations, and it provides a continuous measure of deformity. Good agreement with manual classification and grading is demonstrated on 204 lateral spine radiographs with in total 89 fractures.

  10. Classification problem in CBIR

    Directory of Open Access Journals (Sweden)

    Tatiana Jaworska

    2013-04-01

    Full Text Available At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR. Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Further-more, these results are used to construct a search engine taking into account data mining.

  11. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2016-01-01

    BACKGROUND: The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the findings...... at MR and CEUS imaging and those at CT. PURPOSE: To compare diagnostic accuracy of MR, CEUS, and CT when categorizing complex renal cystic masses according to the Bosniak classification. MATERIAL AND METHODS: From February 2011 to June 2012, 46 complex renal cysts were prospectively evaluated by...... three readers. Each mass was categorized according to the Bosniak classification and CT was chosen as gold standard. Kappa was calculated for diagnostic accuracy and data was compared with pathological results. RESULTS: CT images found 27 BII, six BIIF, seven BIII, and six BIV. Forty-three cysts could...

  12. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on sound...... insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms of...... descriptors, number of classes, and class intervals occurred between national schemes. However, a proposal “acoustic classification scheme for dwellings” has been developed recently in the European COST Action TU0901 with 32 member countries. This proposal has been accepted as an ISO work item. This paper...

  13. Text document classification based on mixture models

    Czech Academy of Sciences Publication Activity Database

    Novovičová, Jana; Malík, Antonín

    2004-01-01

    Roč. 40, č. 3 (2004), s. 293-304. ISSN 0023-5954 R&D Projects: GA AV ČR IAA2075302; GA ČR GA102/03/0049; GA AV ČR KSK1019101 Institutional research plan: CEZ:AV0Z1075907 Keywords : text classification * text categorization * multinomial mixture model Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.224, year: 2004

  14. Machine Learning for Galaxy Morphology Classification

    CERN Document Server

    Gauci, Adam; Abela, John; Magro, Alessio

    2010-01-01

    In this work, decision tree learning algorithms and fuzzy inferencing systems are applied for galaxy morphology classification. In particular, the CART, the C4.5, the Random Forest and fuzzy logic algorithms are studied and reliable classifiers are developed to distinguish between spiral galaxies, elliptical galaxies or star/unknown galactic objects. Morphology information for the training and testing datasets is obtained from the Galaxy Zoo project while the corresponding photometric and spectra parameters are downloaded from the SDSS DR7 catalogue.

  15. Classifier Aggregation Using Local Classification Confidence

    Czech Academy of Sciences Publication Activity Database

    Štefka, David; Holeňa, Martin

    Setúbal: INSTICC, 2009, s. 173-178. ISBN 978-989-8111-66-1. [ICAART 2009. International Conference on Agents and Artificial Intelligence /1./. Porto (PT), 19.01.2009-21.01.2009] R&D Projects: GA AV ČR 1ET100300517 Institutional research plan: CEZ:AV0Z10300504 Keywords : classifier aggregation * classifier combining * classification confidence Subject RIV: IN - Informatics, Computer Science

  16. Distribution Mapping Exponent for Multivariate Data Classification

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel

    Vol. 5. Orlando : IIIS, 2004 - (Callaos, N.; Lesso, W.; Kurogi, S.; Tanaka, A.; Castillo, O.), s. 103-108 ISBN 980-6560-13-2. [SCI 2004. World Multi-Conference on Systemics, Cybernetics and Informatics /8./. Orlando (US), 18.07.2004-21.07.2004] R&D Projects: GA MŠk LN00B096 Keywords : distribution-mapping exponent * effective dimensionality * multivariate data * local estimate * classification Subject RIV: BA - General Mathematics

  17. Agricultural Land Use classification from Envisat MERIS

    Science.gov (United States)

    Brodsky, L.; Kodesova, R.

    2009-04-01

    types. Good classification accuracy was found in the case of winter crops. Lower classification accuracy of spring and summer crops need to be improved. The potential improvements are seen in use of the neural net with mixture model and increasing evenly distributed training data within the region of interest. Acknowledgement: Authors acknowledge the financial support of the Ministry of Education, Youth and Sports grants No. 2B06095 and No. MSM 6046070901. The study was also supported by ESA CAT-1 (ref. 4358) and SOSI projects (Spatial Observation Services and Infrastructure); reference GSTP-RTDA-EOPG-SW-08-0004.

  18. Classification problem in CBIR

    OpenAIRE

    Tatiana Jaworska

    2013-01-01

    At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR). Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results ...

  19. Classification of syringomyelia.

    Science.gov (United States)

    Milhorat, T H

    2000-01-01

    Syringomyelia poses special challenges for the clinician because of its complex symptomatology, uncertain pathogenesis, and multiple options of treatment. The purpose of this study was to classify intramedullary cavities according to their most salient pathological and clinical features. Pathological findings obtained in 175 individuals with tubular cavitations of the spinal cord were correlated with clinical and magnetic resonance (MR) imaging findings in a database of 927 patients. A classification system was developed in which the morbid anatomy, cause, and pathogenesis of these lesions are emphasized. The use of a disease-based classification of syringomyelia facilitates diagnosis and the interpretation of MR imaging findings and provides a guide to treatment. PMID:16676921

  20. Classification des rongeurs

    OpenAIRE

    Mignon, Jacques; Hardouin, Jacques

    2003-01-01

    Les lecteurs du Bulletin BEDIM semblent parfois avoir des difficultés avec la classification scientifique des animaux connus comme "rongeurs" dans le langage courant. Vu les querelles existant encore aujourd'hui dans la mise en place de cette classification, nous ne nous en étonnerons guère. La brève synthèse qui suit concerne les animaux faisant ou susceptibles de faire partie du mini-élevage. The note aims at providing the main characteristics of the principal families of rodents relevan...

  1. Language of Czech Medical Reports and Classification Systems in Medicine

    Czech Academy of Sciences Publication Activity Database

    Přečková, Petra

    2010-01-01

    Roč. 6, č. 1 (2010), s. 58-65. ISSN 1801-5603 R&D Projects: GA MŠk(CZ) 1M06014 Institutional research plan: CEZ:AV0Z10300504 Keywords : terminology, * synonyms * classification systems * thesaurus * nomenclature * electronic health record * interoperability * semantic interoperability * cardiology * atherosclerosis Subject RIV: IN - Informatics, Computer Science http://www.ejbi.org/en/ejbi/article/53-en-language-of-czech-medical-reports-and-classification-systems-in-medicine.html

  2. Computer implemented land cover classification using LANDSAT MSS digital data: A cooperative research project between the National Park Service and NASA. 3: Vegetation and other land cover analysis of Shenandoah National Park

    Science.gov (United States)

    Cibula, W. G.

    1981-01-01

    Four LANDSAT frames, each corresponding to one of the four seasons were spectrally classified and processed using NASA-developed computer programs. One data set was selected or two or more data sets were marged to improve surface cover classifications. Selected areas representing each spectral class were chosen and transferred to USGS 1:62,500 topographic maps for field use. Ground truth data were gathered to verify the accuracy of the classifications. Acreages were computed for each of the land cover types. The application of elevational data to seasonal LANDSAT frames resulted in the separation of high elevation meadows (both with and without recently emergent perennial vegetation) as well as areas in oak forests which have an evergreen understory as opposed to other areas which do not.

  3. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft...

  4. Shark Teeth Classification

    Science.gov (United States)

    Brown, Tom; Creel, Sally; Lee, Velda

    2009-01-01

    On a recent autumn afternoon at Harmony Leland Elementary in Mableton, Georgia, students in a fifth-grade science class investigated the essential process of classification--the act of putting things into groups according to some common characteristics or attributes. While they may have honed these skills earlier in the week by grouping their own…

  5. Classification system: Netherlands

    NARCIS (Netherlands)

    Hartemink, A.E.

    2006-01-01

    Although people have always classified soils, it is only since the mid 19th century that soil classification emerged as an important topic within soil science. It forced soil scientists to think systematically about soils and its genesis and developed to facilitate communication between soil scienti

  6. Classification of waste packages

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, H.P.; Sauer, M.; Rojahn, T. [Versuchsatomkraftwerk GmbH, Kahl am Main (Germany)

    2001-07-01

    A barrel gamma scanning unit has been in use at the VAK for the classification of radioactive waste materials since 1998. The unit provides the facility operator with the data required for classification of waste barrels. Once these data have been entered into the AVK data processing system, the radiological status of raw waste as well as pre-treated and processed waste can be tracked from the point of origin to the point at which the waste is delivered to a final storage. Since the barrel gamma scanning unit was commissioned in 1998, approximately 900 barrels have been measured and the relevant data required for classification collected and analyzed. Based on the positive results of experience in the use of the mobile barrel gamma scanning unit, the VAK now offers the classification of barrels as a service to external users. Depending upon waste quantity accumulation, this measurement unit offers facility operators a reliable and time-saving and cost-effective means of identifying and documenting the radioactivity inventory of barrels scheduled for final storage. (orig.)

  7. The Classification Conundrum.

    Science.gov (United States)

    Granger, Charles R.

    1983-01-01

    Argues against the five-kingdom scheme of classification as using inconsistent criteria, ending up with divisions that are forced, not natural. Advocates an approach using cell type/complexity and modification of the metabolic machinery, recommending the five-kingdom scheme as starting point for class discussion on taxonomy and its conceptual…

  8. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  9. Classifications in popular music

    NARCIS (Netherlands)

    A. van Venrooij; V. Schmutz

    2015-01-01

    The categorical system of popular music, such as genre categories, is a highly differentiated and dynamic classification system. In this article we present work that studies different aspects of these categorical systems in popular music. Following the work of Paul DiMaggio, we focus on four questio

  10. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre;

    possible. Motivated by this problem setting, we propose a generative model for dynamic classification in continuous domains. At each time point the model can be seen as combining a naive Bayes model with a mixture of factor analyzers (FA). The latent variables of the FA are used to capture the dynamics in...

  11. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne Elisabeth;

    2013-01-01

    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand and...

  12. [Classification of primary bone tumors].

    Science.gov (United States)

    Dominok, G W; Frege, J

    1986-01-01

    An expanded classification for bone tumors is presented based on the well known international classification as well as earlier systems. The current status and future trends in this area are discussed. PMID:3461626

  13. Multiple Sparse Representations Classification.

    Science.gov (United States)

    Plenge, Esben; Klein, Stefan; Klein, Stefan S; Niessen, Wiro J; Meijering, Erik

    2015-01-01

    Sparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In this empirical study we propose to further leverage the redundancy of the learned dictionaries to achieve a more accurate classifier. In conventional SRC, each image pixel is associated with a small patch surrounding it. Using these patches, a dictionary is trained for each class in a supervised fashion. Commonly, redundant/overcomplete dictionaries are trained and image patches are sparsely represented by a linear combination of only a few of the dictionary elements. Given a set of trained dictionaries, a new patch is sparse coded using each of them, and subsequently assigned to the class whose dictionary yields the minimum residual energy. We propose a generalization of this scheme. The method, which we call multiple sparse representations classification (mSRC), is based on the observation that an overcomplete, class specific dictionary is capable of generating multiple accurate and independent estimates of a patch belonging to the class. So instead of finding a single sparse representation of a patch for each dictionary, we find multiple, and the corresponding residual energies provides an enhanced statistic which is used to improve classification. We demonstrate the efficacy of mSRC for three example applications: pixelwise classification of texture images, lumen segmentation in carotid artery magnetic resonance imaging (MRI), and bifurcation point detection in carotid artery MRI. We compare our method with conventional SRC, K-nearest neighbor, and support vector machine classifiers. The results show that mSRC outperforms SRC and the other reference methods. In addition, we present an extensive evaluation of the effect of the main mSRC parameters: patch size, dictionary size, and

  14. Efficient Fingercode Classification

    Science.gov (United States)

    Sun, Hong-Wei; Law, Kwok-Yan; Gollmann, Dieter; Chung, Siu-Leung; Li, Jian-Bin; Sun, Jia-Guang

    In this paper, we present an efficient fingerprint classification algorithm which is an essential component in many critical security application systems e. g. systems in the e-government and e-finance domains. Fingerprint identification is one of the most important security requirements in homeland security systems such as personnel screening and anti-money laundering. The problem of fingerprint identification involves searching (matching) the fingerprint of a person against each of the fingerprints of all registered persons. To enhance performance and reliability, a common approach is to reduce the search space by firstly classifying the fingerprints and then performing the search in the respective class. Jain et al. proposed a fingerprint classification algorithm based on a two-stage classifier, which uses a K-nearest neighbor classifier in its first stage. The fingerprint classification algorithm is based on the fingercode representation which is an encoding of fingerprints that has been demonstrated to be an effective fingerprint biometric scheme because of its ability to capture both local and global details in a fingerprint image. We enhance this approach by improving the efficiency of the K-nearest neighbor classifier for fingercode-based fingerprint classification. Our research firstly investigates the various fast search algorithms in vector quantization (VQ) and the potential application in fingerprint classification, and then proposes two efficient algorithms based on the pyramid-based search algorithms in VQ. Experimental results on DB1 of FVC 2004 demonstrate that our algorithms can outperform the full search algorithm and the original pyramid-based search algorithms in terms of computational efficiency without sacrificing accuracy.

  15. Oral epithelial dysplasia classification systems

    DEFF Research Database (Denmark)

    Warnakulasuriya, S; Reibel, J; Bouquot, J;

    2008-01-01

    report, we review the oral epithelial dysplasia classification systems. The three classification schemes [oral epithelial dysplasia scoring system, squamous intraepithelial neoplasia and Ljubljana classification] were presented and the Working Group recommended epithelial dysplasia grading for routine....... Several studies have shown great interexaminer and intraexaminer variability in the assessment of the presence or absence and the grade of oral epithelial dysplasia. The Working Group considered the two class classification (no/questionable/ mild - low risk; moderate or severe - implying high risk) and...

  16. Project Systematics of Annonaceae

    OpenAIRE

    Maas, P.J.M.

    1983-01-01

    Recently a multidisciplinary investigation program on the systematics of Annonaceae was started at Utrecht with special emphasis on the Neotropics. This project will be carried out largely within the framework of the UNESCO-project Flora Neotronica. The first goal is to provide a modern classification of the family as a whole, the second is the publication of a series of monographs for Flora Neotropica. The project has been planned and started in close consultation with leading botanists on t...

  17. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    sometimes termed “descriptive” classifications). Paradoxically atheoretical classifications may be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. On the...

  18. Etiologic Classification in Ischemic Stroke

    OpenAIRE

    Hakan Ay

    2011-01-01

    Ischemic stroke is an etiologically heterogenous disorder. Classification of ischemic stroke etiology into categories with discrete phenotypic, therapeutic, and prognostic features is indispensible to generate consistent information from stroke research. In addition, a functional classification of stroke etiology is critical to ensure unity among physicians and comparability among studies. There are two major approaches to etiologic classification in stroke. Phenotypic systems define subtypes...

  19. Image-based Vehicle Classification System

    CERN Document Server

    Ng, Jun Yee

    2012-01-01

    Electronic toll collection (ETC) system has been a common trend used for toll collection on toll road nowadays. The implementation of electronic toll collection allows vehicles to travel at low or full speed during the toll payment, which help to avoid the traffic delay at toll road. One of the major components of an electronic toll collection is the automatic vehicle detection and classification (AVDC) system which is important to classify the vehicle so that the toll is charged according to the vehicle classes. Vision-based vehicle classification system is one type of vehicle classification system which adopt camera as the input sensing device for the system. This type of system has advantage over the rest for it is cost efficient as low cost camera is used. The implementation of vision-based vehicle classification system requires lower initial investment cost and very suitable for the toll collection trend migration in Malaysia from single ETC system to full-scale multi-lane free flow (MLFF). This project ...

  20. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2012-01-01

    needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality......National schemes for sound classification of dwellings exist in more than ten countries in Europe, typically published as national standards. The schemes define quality classes reflecting different levels of acoustical comfort. Main criteria concern airborne and impact sound insulation between...... dwellings, facade sound insulation and installation noise. The schemes have been developed, implemented and revised gradually since the early 1990s. However, due to lack of coordination between countries, there are significant discrepancies, and new standards and revisions continue to increase the diversity...

  1. Soil Classification Using GATree

    CERN Document Server

    Bhargavi, P

    2010-01-01

    This paper details the application of a genetic programming framework for classification of decision tree of Soil data to classify soil texture. The database contains measurements of soil profile data. We have applied GATree for generating classification decision tree. GATree is a decision tree builder that is based on Genetic Algorithms (GAs). The idea behind it is rather simple but powerful. Instead of using statistic metrics that are biased towards specific trees we use a more flexible, global metric of tree quality that try to optimize accuracy and size. GATree offers some unique features not to be found in any other tree inducers while at the same time it can produce better results for many difficult problems. Experimental results are presented which illustrate the performance of generating best decision tree for classifying soil texture for soil data set.

  2. Digital image-based classification of biodiesel.

    Science.gov (United States)

    Costa, Gean Bezerra; Fernandes, David Douglas Sousa; Almeida, Valber Elias; Araújo, Thomas Souto Policarpo; Melo, Jessica Priscila; Diniz, Paulo Henrique Gonçalves Dias; Véras, Germano

    2015-07-01

    This work proposes a simple, rapid, inexpensive, and non-destructive methodology based on digital images and pattern recognition techniques for classification of biodiesel according to oil type (cottonseed, sunflower, corn, or soybean). For this, differing color histograms in RGB (extracted from digital images), HSI, Grayscale channels, and their combinations were used as analytical information, which was then statistically evaluated using Soft Independent Modeling by Class Analogy (SIMCA), Partial Least Squares Discriminant Analysis (PLS-DA), and variable selection using the Successive Projections Algorithm associated with Linear Discriminant Analysis (SPA-LDA). Despite good performances by the SIMCA and PLS-DA classification models, SPA-LDA provided better results (up to 95% for all approaches) in terms of accuracy, sensitivity, and specificity for both the training and test sets. The variables selected Successive Projections Algorithm clearly contained the information necessary for biodiesel type classification. This is important since a product may exhibit different properties, depending on the feedstock used. Such variations directly influence the quality, and consequently the price. Moreover, intrinsic advantages such as quick analysis, requiring no reagents, and a noteworthy reduction (the avoidance of chemical characterization) of waste generation, all contribute towards the primary objective of green chemistry. PMID:25882407

  3. Short Text Classification: A Survey

    Directory of Open Access Journals (Sweden)

    Ge Song

    2014-05-01

    Full Text Available With the recent explosive growth of e-commerce and online communication, a new genre of text, short text, has been extensively applied in many areas. So many researches focus on short text mining. It is a challenge to classify the short text owing to its natural characters, such as sparseness, large-scale, immediacy, non-standardization. It is difficult for traditional methods to deal with short text classification mainly because too limited words in short text cannot represent the feature space and the relationship between words and documents. Several researches and reviews on text classification are shown in recent times. However, only a few of researches focus on short text classification. This paper discusses the characters of short text and the difficulty of short text classification. Then we introduce the existing popular works on short text classifiers and models, including short text classification using sematic analysis, semi-supervised short text classification, ensemble short text classification, and real-time classification. The evaluations of short text classification are analyzed in our paper. Finally we summarize the existing classification technology and prospect for development trend of short text classification

  4. Estuary Classification Revisited

    OpenAIRE

    Guha, Anirban; Lawrence, Gregory A.

    2012-01-01

    This paper presents the governing equations of a tidally-averaged, width-averaged, rectangular estuary in completely nondimensionalized forms. Subsequently, we discover that the dynamics of an estuary is entirely controlled by only two variables: (i) the Estuarine Froude number, and (ii) a nondimensional number related to the Estuarine Aspect ratio and the Tidal Froude number. Motivated by this new observation, the problem of estuary classification is re-investigated. Our analysis shows that ...

  5. Classification of Arabic Documents

    OpenAIRE

    Elbery, Ahmed

    2012-01-01

    Arabic language is a very rich language with complex morphology, so it has a very different and difficult structure than other languages. So it is important to build an Arabic Text Classifier (ATC) to deal with this complex language. The importance of text or document classification comes from its wide variety of application domains such as text indexing, document sorting, text filtering, and Web page categorization. Due to the immense amount of Arabic documents as well as the number of inter...

  6. Maximum mutual information regularized classification

    KAUST Repository

    Wang, Jim Jing-Yan

    2014-09-07

    In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information between classification responses and true class labels of training samples, besides minimizing the classification error and reducing the classifier complexity. An objective function is constructed by modeling mutual information with entropy estimation, and it is optimized by a gradient descend method in an iterative algorithm. Experiments on two real world pattern classification problems show the significant improvements achieved by maximum mutual information regularization.

  7. Classification of Meteorological Drought

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zou Xukai; Xiao Fengjin; Lu Houquan; Liu Haibo; Zhu Changhan; An Shunqing

    2011-01-01

    Background The national standard of the Classification of Meteorological Drought (GB/T 20481-2006) was developed by the National Climate Center in cooperation with Chinese Academy of Meteorological Sciences,National Meteorological Centre and Department of Forecasting and Disaster Mitigation under the China Meteorological Administration (CMA),and was formally released and implemented in November 2006.In 2008,this Standard won the second prize of the China Standard Innovation and Contribution Awards issued by SAC.Developed through independent innovation,it is the first national standard published to monitor meteorological drought disaster and the first standard in China and around the world specifying the classification of drought.Since its release in 2006,the national standard of Classification of Meteorological Drought has been used by CMA as the operational index to monitor and drought assess,and gradually used by provincial meteorological sureaus,and applied to the drought early warning release standard in the Methods of Release and Propagation of Meteorological Disaster Early Warning Signal.

  8. Histologic classification of gliomas.

    Science.gov (United States)

    Perry, Arie; Wesseling, Pieter

    2016-01-01

    Gliomas form a heterogeneous group of tumors of the central nervous system (CNS) and are traditionally classified based on histologic type and malignancy grade. Most gliomas, the diffuse gliomas, show extensive infiltration in the CNS parenchyma. Diffuse gliomas can be further typed as astrocytic, oligodendroglial, or rare mixed oligodendroglial-astrocytic of World Health Organization (WHO) grade II (low grade), III (anaplastic), or IV (glioblastoma). Other gliomas generally have a more circumscribed growth pattern, with pilocytic astrocytomas (WHO grade I) and ependymal tumors (WHO grade I, II, or III) as the most frequent representatives. This chapter provides an overview of the histology of all glial neoplasms listed in the WHO 2016 classification, including the less frequent "nondiffuse" gliomas and mixed neuronal-glial tumors. For multiple decades the histologic diagnosis of these tumors formed a useful basis for assessment of prognosis and therapeutic management. However, it is now fully clear that information on the molecular underpinnings often allows for a more robust classification of (glial) neoplasms. Indeed, in the WHO 2016 classification, histologic and molecular findings are integrated in the definition of several gliomas. As such, this chapter and Chapter 6 are highly interrelated and neither should be considered in isolation. PMID:26948349

  9. Neuromuscular disease classification system

    Science.gov (United States)

    Sáez, Aurora; Acha, Begoña; Montero-Sánchez, Adoración; Rivas, Eloy; Escudero, Luis M.; Serrano, Carmen

    2013-06-01

    Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

  10. Automatic document classification of biological literature

    Directory of Open Access Journals (Sweden)

    Sternberg Paul W

    2006-08-01

    Full Text Available Abstract Background Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, a text-mining system for biological literature, which marks up full text according to a shallow ontology that includes terms of biological interest. This project investigates document classification in the context of biological literature, making use of the Textpresso markup of a corpus of Caenorhabditis elegans literature. Results We present a two-step text categorization algorithm to classify a corpus of C. elegans papers. Our classification method first uses a support vector machine-trained classifier, followed by a novel, phrase-based clustering algorithm. This clustering step autonomously creates cluster labels that are descriptive and understandable by humans. This clustering engine performed better on a standard test-set (Reuters 21578 compared to previously published results (F-value of 0.55 vs. 0.49, while producing cluster descriptions that appear more useful. A web interface allows researchers to quickly navigate through the hierarchy and look for documents that belong to a specific concept. Conclusion We have demonstrated a simple method to classify biological documents that embodies an improvement over current methods. While the classification results are currently optimized for Caenorhabditis elegans papers by human-created rules, the classification engine can be adapted to different types of documents. We have demonstrated this by presenting a web interface that allows researchers to quickly navigate through the hierarchy and look for documents that belong to a specific concept.

  11. SACRIFICING THE ECOLOGICAL RESOLUTION OF VEGETATION MAPS AT THE ALTAR OF THEMATIC ACCURACY: ASSESSED MAP ACCURACIES FOR HIERARCHICAL VEGETATION CLASSIFICATIONS IN THE EASTERN GREAT BASIN OF THE SOUTHWEST REGIONAL GAP ANALYSIS PROJECT (SW REGAP)

    Science.gov (United States)

    The Southwest Regional Gap Analysis Project (SW ReGAP) improves upon previous GAP projects conducted in Arizona, Colorado, Nevada, New Mexico, and Utah to provide a consistent, seamless vegetation map for this large and ecologically diverse geographic region. Nevada's compone...

  12. Most Used Rock Mass Classifications for Underground Opening

    Directory of Open Access Journals (Sweden)

    Al-Jbori A’ssim

    2010-01-01

    Full Text Available Problem statement: Rock mass characterization is an integral part of rock engineering practice. The empirical design methods based on rock mass classifications systems provide quick assessments of the support requirements for underground excavations at any stage of a project, even if the available geotechnical data are limited. The underground excavation industry tends to lean on empirical approaches such as rock mass classification methods, which provide a rapid means of assessing rock mass quality and support requirements. Approach: There were several classifications systems used in underground construction design. This study reviewed and summarized the must used classification methods in the mining and tunneling systems. Results: The method of this research was collected of the underground excavations classifications method with its parameters calculations procedures for each one, trying to find the simplest, less costs and more efficient method. Conclusion: The study concluded with reference to errors that may arise in particular conditions and the choice of rock mass classification depend on the sensitivity of the projects, costs and the efficient.

  13. An applied research on remote sensing classification in the Loess Plateau

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Due to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in the remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification and unsupervised classification, sampling method is remarkably improved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting fiumland to forest and grassland on slope land in this area. This research sought to improve the appfication accuracy of image classification in complex terrain areas.

  14. Evaluating the Effectiveness of Implementing New Classification for Radioactive Waste in Ukraine

    International Nuclear Information System (INIS)

    The division of radioactive waste into classes in accordance with the new proposed classification is analyzed. This classification has been developed within INSC Project U4.01/08-C ''Improvement of Classification of Radioactive Waste in Ukraine'' to promote effectiveness in radioactive waste disposal. The main difference between the old and new classification is expanded options for radioactive waste disposal: six classes of waste that can be disposed of in one of the four types of repositories are introduced instead of two types of radioactive waste in the current classification. The implementation of the new classification will lead to noticeable reduction in costs for radioactive waste disposal, if strict compliance with safety objectives is ensured. The new classification involves improvement of methods for sorting and characterization of waste streams on sites and a number of changes in the existing legal and regulatory documents

  15. Research on Classification of Plant Community Using Projection Pursuit Learning Network Algorithm on High Resolution Remote Sensing Images%基于投影寻踪学习网络算法的植物群落高分遥感分类研究

    Institute of Scientific and Technical Information of China (English)

    杜欣; 黄晓霞; 李红旮; 沈利强

    2016-01-01

    传统的植物群落调查方法主要是野外样地调查和抽样统计,其对于地形复杂的区域难以做到对数据的全面调查;将遥感技术应用于植物群落调查,可实现数据的全面获取,以及对植物群落的快速分类。在深圳市植物群落野外样地调查的基础上,本文应用高分辨率Pléiades影像,结合光谱、地形及纹理信息,采用投影寻踪学习网络的方法,实现了深圳市东部地区植物分类。在实验中,选取人工林和次生林中典型群落样本,将投影寻踪与学习网络算法结合应用于植被分类,通过分类结果与经典监督分类方法比较表明,该算法应用于植物群落分类是可行的;并且该算法分类精度高,更新速度快,能满足深圳市重点项目基本生态控制线专项调查的要求。%Plant community is a significant content in the ecosystem. Traditional investigation method for plant community is mainly based on statistical sampling, which is limited by the data acquisition from complex terrain areas. In contrast, high-resolution remote sensing technique provides a convenient way to quickly access data in a large area. To overcome the shortcomings derived from the high dimensional features, which is caused by related data increasing, we choose the algorithm of projection pursuit learning network (PPLN) along with field samples of typical plant communities to realize a fast classification on the vegetation in the east of Shenzhen. Then,in the experiment, the spectral and texture information extracted from Pléiades images, and the terrain interpolated from topographic map are selected and used to build high dimensional features, which is crucial to the vegetation classification using remote sensing images. The learning network for projection pursuit is applied to discriminating the typical communities in both plantation and natural secondary forest in the study area. Compared with Maximum

  16. On the Classification of Psychology in General Library Classification Schemes.

    Science.gov (United States)

    Soudek, Miluse

    1980-01-01

    Holds that traditional library classification systems are inadequate to handle psychological literature, and advocates the establishment of new theoretical approaches to bibliographic organization. (FM)

  17. SPORT FOOD ADDITIVE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    I. P. Prokopenko

    2015-01-01

    Full Text Available Correctly organized nutritive and pharmacological support is an important component of an athlete's preparation for competitions, an optimal shape maintenance, fast recovery and rehabilitation after traumas and defatigation. Special products of enhanced biological value (BAS for athletes nutrition are used with this purpose. Easy-to-use energy sources are administered into athlete's organism, yielded materials and biologically active substances which regulate and activate exchange reactions which proceed with difficulties during certain physical trainings. The article presents sport supplements classification which can be used before warm-up and trainings, after trainings and in competitions breaks.

  18. Classification of Emergency Scenarios

    CERN Document Server

    Muench, Mathieu

    2011-01-01

    In most of today's emergency scenarios information plays a crucial role. Therefore, information has to be constantly collected and shared among all rescue team members and this requires new innovative technologies. In this paper a classification of emergency scenarios is presented, describing their special characteristics and common strategies employed by rescue units to handle them. Based on interviews with professional firefighters, requirements for new systems are listed. The goal of this article is to support developers designing new systems by providing them a deeper look into the work of first responders.

  19. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E;

    2015-01-01

    recruited from nine different tertiary referral centres. All patients underwent examination by specialists in dermatology and were checked using relevant allergy testing. Patients were classified into one of the six diagnostic subgroups of HE: allergic contact dermatitis, irritant contact dermatitis, atopic......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  20. Classification of smooth Fano polytopes

    DEFF Research Database (Denmark)

    Øbro, Mikkel

    A simplicial lattice polytope containing the origin in the interior is called a smooth Fano polytope, if the vertices of every facet is a basis of the lattice. The study of smooth Fano polytopes is motivated by their connection to toric varieties. The thesis concerns the classification of smooth...... Fano polytopes up to isomorphism. A smooth Fano -polytope can have at most vertices. In case of vertices an explicit classification is known. The thesis contains the classification in case of vertices. Classifications of smooth Fano -polytopes for fixed exist only for . In the thesis an algorithm for...... the classification of smooth Fano -polytopes for any given is presented. The algorithm has been implemented and used to obtain the complete classification for ....

  1. Active Learning for Text Classification

    OpenAIRE

    Hu, Rong

    2011-01-01

    Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to cho...

  2. Random Forests for Poverty Classification

    OpenAIRE

    Ruben Thoplan

    2014-01-01

    This paper applies a relatively novel method in data mining to address the issue of poverty classification in Mauritius. The random forests algorithm is applied to the census data in view of improving classification accuracy for poverty status. The analysis shows that the numbers of hours worked, age, education and sex are the most important variables in the classification of the poverty status of an individual. In addition, a clear poverty-gender gap is identified as women have higher chance...

  3. The Revised Classification of Eukaryotes

    OpenAIRE

    Adl, Sina M; Simpson, Alastair G.B.; Lane, Christopher E.; Lukeš, Julius; Bass, David; Bowser, Samuel S.; Brown, Matthew W.; Burki, Fabien; Dunthorn, Micah; Hampl, Vladimir; Heiss, Aaron; Hoppenrath, Mona; Lara, Enrique; Le Gall, Line; Lynn, Denis H.

    2013-01-01

    This revision of the classification of eukaryotes, which updates that of Adl et al. [J. Eukaryot. Microbiol. 52 (2005) 399], retains an emphasis on the protists and incorporates changes since 2005 that have resolved nodes and branches in phylogenetic trees. Whereas the previous revision was successful in re-introducing name stability to the classification, this revision provides a classification for lineages that were then still unresolved. The supergroups have withstood phylogenetic hypothes...

  4. DCC Briefing Paper: Genre classification

    OpenAIRE

    Abbott, Daisy; Kim, Yunhyong

    2008-01-01

    Genre classification is the process of grouping objects together based on defined similarities such as subject, format, style, or purpose. Genre classification as a means of managing information is already established in music (e.g. folk, blues, jazz) and text and is used, alongside topic classification, to organise materials in the commercial sector (the children's section of a bookshop) and intellectually (for example, in the Usenet newsgroup directory hierarchy). However, in the case o...

  5. Classification and Labelling for Biocides

    OpenAIRE

    Rubbiani, Maristella

    2015-01-01

    CLP and biocides The EU Regulation (EC) No 1272/2008 on Classification, Labelling and Packaging of Substances and Mixtures, the CLP-Regulation, entered into force on 20th January, 2009. Since 1st December, 2010 the classification, labelling and packaging of substances has to comply with this Regulation. For mixtures, the rules of this Regulation are mandatory from 1st June, 2015; this means that until this date classification, labelling and packaging could either be carried out according to D...

  6. Classification & Structure of Blood Vessels

    Science.gov (United States)

    ... Thyroid & Parathyroid Glands Adrenal Gland Pancreas Gonads Other Endocrine Glands Review Quiz Cardiovascular System Heart Structure of the Heart Physiology of the Heart Blood Classification & Structure of Blood ...

  7. The Management of Projects and Product Experimentation

    DEFF Research Database (Denmark)

    Lorenzen, Mark; Frederiksen, Lars

    2005-01-01

    embedded in project ecologies at particular places, which is why we see geographical clusters in many project-based industries. The paper is mainly conceptual, but develops its argument by drawing examples from the Entertainment industries throughout. Keywords: Project organization, product innovation......, portfolio management of projects, entertainment industries JEL Classification: L22, O31, L82...

  8. Algebraic classification of the Weyl tensor

    Czech Academy of Sciences Publication Activity Database

    Pravdová, Alena

    Prague : Institute of Math ematics AS CR, 2012 - (Brandts, J.; Chleboun, J.; Korotov, S.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 224-235 ISBN 978-80-85823-60-8. [Applications of Math ematics 2012. Prague (CZ), 02.05.2012-05.05.2012] R&D Projects: GA ČR GAP203/10/0749 Institutional support: RVO:67985840 Keywords : algebraic classification of tensors * Lorentzian manifolds Subject RIV: BA - General Math ematics http://www. math .cas.cz/~am2012/proceedings/contributions/pravdova.pdf

  9. Multiplet classification for SU(n,n)

    International Nuclear Information System (INIS)

    In the present paper we review our project of systematic construction of invariant differential operators on the example of the non-compact algebras su(n,n) for n = 2, 3,4. We give explicitly the main multiplets of indecomposable elementary representations and some reduced multiplets. We give explicitly the minimal representations. Due to the recently established parabolic relations the multiplet classification results are valid also for the algebras sl(2n, R) and when n = 2k for the algebras su* (4k) with suitably chosen maximal parabolic subalgebras

  10. Exponentially Scaled Point Processes and Data Classification

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel

    Athens: WSEAS Press, 2014 - (Mastorakis, N.; Pardalos, P.; Agarwal, R.; Kočinac, L.), s. 179-185. (Mathematics and Computers in Science and Engineering Series. 29). ISBN 978-1-61804-240-8. ISSN 2227-4588. [PMAMCM 2014. Santorini Island (GR), 17.07.2014-21.07.2014] R&D Projects: GA MŠk(CZ) LG12020 Institutional support: RVO:67985807 Keywords : multivariate data * nearest neighbor * Erlang distribution * multifractal * scaling exponent * classification * IINC Subject RIV: BB - Applied Statistics, Operational Research

  11. 78 FR 68983 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-11-18

    ...-Doxey data into the cotton futures classification process in March 2012 (77 FR 5379). When verified by a... October 9, 2013 (78 FR 54970). AMS received two comments: one from a national trade organization... Agricultural Marketing Service 7 CFR Part 27 RIN 0581-AD33 Cotton Futures Classification:...

  12. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... process in March 2012 (77 FR 5379). When verified by a futures classification, Smith-Doxey data serves as...; ] DEPARTMENT OF AGRICULTURE Agricultural Marketing Service 7 CFR Part 27 RIN 0581-AD33 Cotton Futures... for the addition of an optional cotton futures classification procedure--identified and known...

  13. 14 CFR 1203.412 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Classification guides. 1203.412 Section 1203.412 Aeronautics and Space NATIONAL AERONAUTICS AND SPACE ADMINISTRATION INFORMATION SECURITY PROGRAM Guides for Original Classification § 1203.412 Classification guides. (a) General. A classification guide, based upon classification...

  14. 22 CFR 9.4 - Original classification.

    Science.gov (United States)

    2010-04-01

    ... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Original classification. 9.4 Section 9.4... classification. (a) Definition. Original classification is the initial determination that certain information... classification. (b) Classification levels. (1) Top Secret shall be applied to information the...

  15. 22 CFR 9.6 - Derivative classification.

    Science.gov (United States)

    2010-04-01

    ... CFR 2001.22. (c) Department of State Classification Guide. The Department of State Classification... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Derivative classification. 9.6 Section 9.6... classification. (a) Definition. Derivative classification is the incorporating, paraphrasing, restating...

  16. 32 CFR 2400.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15... Derivative Classification § 2400.15 Classification guides. (a) OSTP shall issue and maintain classification guides to facilitate the proper and uniform derivative classification of information. These guides...

  17. 15 CFR 2008.9 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Classification guides. 2008.9 Section... REPRESENTATIVE Derivative Classification § 2008.9 Classification guides. Classification guides shall be issued by... direct derivative classification, shall identify the information to be protected in specific and...

  18. Applying Machine Learning to Star Cluster Classification

    Science.gov (United States)

    Fedorenko, Kristina; Grasha, Kathryn; Calzetti, Daniela; Mahadevan, Sridhar

    2016-01-01

    Catalogs describing populations of star clusters are essential in investigating a range of important issues, from star formation to galaxy evolution. Star cluster catalogs are typically created in a two-step process: in the first step, a catalog of sources is automatically produced; in the second step, each of the extracted sources is visually inspected by 3-to-5 human classifiers and assigned a category. Classification by humans is labor-intensive and time consuming, thus it creates a bottleneck, and substantially slows down progress in star cluster research.We seek to automate the process of labeling star clusters (the second step) through applying supervised machine learning techniques. This will provide a fast, objective, and reproducible classification. Our data is HST (WFC3 and ACS) images of galaxies in the distance range of 3.5-12 Mpc, with a few thousand star clusters already classified by humans as a part of the LEGUS (Legacy ExtraGalactic UV Survey) project. The classification is based on 4 labels (Class 1 - symmetric, compact cluster; Class 2 - concentrated object with some degree of asymmetry; Class 3 - multiple peak system, diffuse; and Class 4 - spurious detection). We start by looking at basic machine learning methods such as decision trees. We then proceed to evaluate performance of more advanced techniques, focusing on convolutional neural networks and other Deep Learning methods. We analyze the results, and suggest several directions for further improvement.

  19. Classification of rational unicuspidal curves with two Newton pairs

    OpenAIRE

    Bodnár, József

    2015-01-01

    Based on Tiankai Liu's PhD thesis (MIT, 2014), we give a complete classification of local topological types of singularities with two Newton pairs on rational unicuspidal complex projective plane curves. We show that all but two possible local types on Liu's list are realizable by the work of H. Kashiwara, M. Miyanishi, T. Sugie, T. Fenske, K. Tono and S. Y. Orevkov.

  20. Automatic workflow for the classification of local DNA conformations

    Czech Academy of Sciences Publication Activity Database

    Čech, P.; Kukal, J.; Černý, Jiří; Schneider, Bohdan; Svozil, D.

    2013-01-01

    Roč. 14, č. 205 (2013). ISSN 1471-2105 R&D Projects: GA ČR GAP305/12/1801 Institutional research plan: CEZ:AV0Z50520701 Keywords : DNA * Dinucleotide conformation * Classification * Machine learning * Neural network * k-NN * Cluster analysis Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 2.672, year: 2013

  1. Performance of classification confidence measures in dynamic classifier systems

    Czech Academy of Sciences Publication Activity Database

    Štefka, D.; Holeňa, Martin

    2013-01-01

    Roč. 23, č. 4 (2013), s. 299-319. ISSN 1210-0552 R&D Projects: GA ČR GA13-17187S Institutional support: RVO:67985807 Keywords : classifier combining * dynamic classifier systems * classification confidence Subject RIV: IN - Informatics, Computer Science Impact factor: 0.412, year: 2013

  2. Challenges of interfacial classification for grain boundary engineering

    Czech Academy of Sciences Publication Activity Database

    Lejček, Pavel; Paidar, Václav

    2005-01-01

    Roč. 21, č. 4 (2005), s. 393-398. ISSN 0267-0836 R&D Projects: GA ČR(CZ) GA106/02/0253 Institutional research plan: CEZ:AV0Z10100520 Keywords : grain boundary classification * grain boundary engineering * grain boundary segregation * iron Subject RIV: BM - Solid Matter Physics ; Magnetism Impact factor: 0.639, year: 2005

  3. Refinements of the Weyl tensor classification in five dimensions

    Czech Academy of Sciences Publication Activity Database

    Coley, A.; Hervik, S.; Ortaggio, Marcello; Wylleman, L.

    2012-01-01

    Roč. 29, č. 15 (2012), s. 155016. ISSN 0264-9381 R&D Projects: GA ČR GAP203/10/0749 Institutional support: RVO:67985840 Keywords : black - holes * Petrov classification * space-times Subject RIV: BA - General Mathematics Impact factor: 3.562, year: 2012 http://iopscience.iop.org/0264-9381/29/15/155016/

  4. Seismic texture classification. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Vinther, R.

    1997-12-31

    The seismic texture classification method, is a seismic attribute that can both recognize the general reflectivity styles and locate variations from these. The seismic texture classification performs a statistic analysis for the seismic section (or volume) aiming at describing the reflectivity. Based on a set of reference reflectivities the seismic textures are classified. The result of the seismic texture classification is a display of seismic texture categories showing both the styles of reflectivity from the reference set and interpolations and extrapolations from these. The display is interpreted as statistical variations in the seismic data. The seismic texture classification is applied to seismic sections and volumes from the Danish North Sea representing both horizontal stratifications and salt diapers. The attribute succeeded in recognizing both general structure of successions and variations from these. Also, the seismic texture classification is not only able to display variations in prospective areas (1-7 sec. TWT) but can also be applied to deep seismic sections. The seismic texture classification is tested on a deep reflection seismic section (13-18 sec. TWT) from the Baltic Sea. Applied to this section the seismic texture classification succeeded in locating the Moho, which could not be located using conventional interpretation tools. The seismic texture classification is a seismic attribute which can display general reflectivity styles and deviations from these and enhance variations not found by conventional interpretation tools. (LN)

  5.    Using Thermography in Classification of Plants in Greenhouses

    DEFF Research Database (Denmark)

    Hansen, J. Fly

    2008-01-01

      The objective of this paper is to describe how thermography can be used to make almost invisible parts of plants visible. The technique is based on using differences in the heat capacity together with thermography. The aim of the project described here is to examine the possibility of automated...... classification of plants where the classification parameter is the number of non-blown buds (green buds among green leaves). Two principles are described, one where the plants are heated before classification in room temperature and the other where the plants are cooled before classification. The plants used in...

  6. Estuary Classification Revisited

    CERN Document Server

    Guha, Anirban

    2012-01-01

    The governing equations of a tidally averaged, width averaged, rectangular estuary has been investigated. It's theoretically shown that the dynamics of an estuary is entirely controlled by three parameters: (i) the Estuarine Froude number, (ii) the Tidal Froude number and (iii) the Estuarine Aspect ratio. The momentum, salinity and integral salt balance equations can be completely expressed in terms of these control variables. The estuary classification problem has also been reinvestigated. It's found that these three control variables can completely specify the estuary type. Comparison with real estuary data shows very good match. Additionally, we show that the well accepted leading order estuarine integral salt balance equation is inconsitent with the leading order salinity equation in an order of magnitude sense.

  7. Classification of enterprise expenditures

    Directory of Open Access Journals (Sweden)

    Tatiana Ostapenko

    2013-05-01

    Full Text Available The need to diversify share of costs is grounded. It is proposed to classify expenditures by types of income (loss of current activity (covered and uncovered expenditures, by the level of costs to its planned size (planned cost; costs that exceed the planned size; costs that are lower than the planned size, with the aim to influence the activity result (effective and ineffective expenditures, by the period of their appearance (intermediate and annual expenditures.The existing classification of expenditures by kinds of activity is improved through emphasizing such feature: by ability to increase enterprise cost (essential and unessential expenditures. The traditional definition of exhausted (consumed and unexhausted (not consumed expenditures that helped to separate expenses in their structure which don’t ensure formation of exhausted and unexhausted expenditures (management costs is criticized

  8. Nonlinear estimation and classification

    CERN Document Server

    Hansen, Mark; Holmes, Christopher; Mallick, Bani; Yu, Bin

    2003-01-01

    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data This is due in part to recent advances in data collection and computing technologies As a result, fundamental statistical research is being undertaken in a variety of different fields Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future

  9. Classification of radioactive waste

    International Nuclear Information System (INIS)

    Radioactive wastes are generated in a number of different kinds of facilities and arise in a wide range of concentrations of radioactive materials and in a variety of physical and chemical forms. To simplify their management, a number of schemes have evolved for classifying radioactive waste according to the physical, chemical and radiological properties of significance to those facilities managing this waste. These schemes have led to a variety of terminologies, differing from country to country and even between facilities in the same country. This situation makes it difficult for those concerned to communicate with one another regarding waste management practices. This document revises and updates earlier IAEA references on radioactive waste classification systems given in IAEA Technical Reports Series and Safety Series. Guidance regarding exemption of materials from regulatory control is consistent with IAEA Safety Series and the RADWASS documents published under IAEA Safety Series. 11 refs, 2 figs, 2 tab

  10. Classification-based reasoning

    Science.gov (United States)

    Gomez, Fernando; Segami, Carlos

    1991-01-01

    A representation formalism for N-ary relations, quantification, and definition of concepts is described. Three types of conditions are associated with the concepts: (1) necessary and sufficient properties, (2) contingent properties, and (3) necessary properties. Also explained is how complex chains of inferences can be accomplished by representing existentially quantified sentences, and concepts denoted by restrictive relative clauses as classification hierarchies. The representation structures that make possible the inferences are explained first, followed by the reasoning algorithms that draw the inferences from the knowledge structures. All the ideas explained have been implemented and are part of the information retrieval component of a program called Snowy. An appendix contains a brief session with the program.

  11. Predictive Classification Trees

    Science.gov (United States)

    Dlugosz, Stephan; Müller-Funk, Ulrich

    CART (Breiman et al., Classification and Regression Trees, Chapman and Hall, New York, 1984) and (exhaustive) CHAID (Kass, Appl Stat 29:119-127, 1980) figure prominently among the procedures actually used in data based management, etc. CART is a well-established procedure that produces binary trees. CHAID, in contrast, admits multiple splittings, a feature that allows to exploit the splitting variable more extensively. On the other hand, that procedure depends on premises that are questionable in practical applications. This can be put down to the fact that CHAID relies on simultaneous Chi-Square- resp. F-tests. The null-distribution of the second test statistic, for instance, relies on the normality assumption that is not plausible in a data mining context. Moreover, none of these procedures - as implemented in SPSS, for instance - take ordinal dependent variables into account. In the paper we suggest an alternative tree-algorithm that: Requires explanatory categorical variables

  12. Classification of Rainbows

    Science.gov (United States)

    Ricard, J. L.; Peter, A. L.; Barckicke, J.

    2015-12-01

    CLASSIFICATION OF RAINBOWS Jean Louis Ricard,1,2,* Peter Adams ,2 and Jean Barckicke 2,3 1CNRM, Météo-France,42 Avenue Gaspard Coriolis, 31057 Toulouse, France 2CEPAL, 148 Himley Road, Dudley, West Midlands DY1 2QH, United Kingdom 3DP/Compas,Météo-France,42 Avenue Gaspard Coriolis, 31057 Toulouse, France *Corresponding author: Dr_Jean_Ricard@yahoo,co,ukRainbows are the most beautiful and most spectacular optical atmospheric phenomenon. Humphreys (1964) pointedly noted that "the "explanations" generally given of the rainbow [ in textbooks] may well be said to explain beautifully that which does not occur, and to leave unexplained which does" . . . "The records of close observations of rainbows soon show that not even the colors are always the same". Textbooks stress that the main factor affecting the aspect of the rainbow is the radius of the water droplets. In his well-known textbook entitled "the nature of light & colour in the open air", Minnaert (1954) gives the chief features of the rainbow depending on the diameter of the drops producing it. For this study, we have gathered hundreds of pictures of primary bows. We sort out the pictures into classes. The classes are defined in a such way that rainbows belonging to the same class look similar. Our results are surprising and do not confirm Minnaert's classification. In practice, the size of the water droplets is only a minor factor controlling the overall aspect of the rainbow. The main factor appears to be the height of the sun above the horizon. At sunset, the width of the red band increases, while the width of the other bands of colours decreases. The orange, the violet, the blue and the green bands disappear completely in this order. At the end, the primary bow is mainly red and slightly yellow. Picture = Contrast-enhanced photograph of a primary bow picture (prepared by Andrew Dunn).

  13. Vietnamese Document Representation and Classification

    Science.gov (United States)

    Nguyen, Giang-Son; Gao, Xiaoying; Andreae, Peter

    Vietnamese is very different from English and little research has been done on Vietnamese document classification, or indeed, on any kind of Vietnamese language processing, and only a few small corpora are available for research. We created a large Vietnamese text corpus with about 18000 documents, and manually classified them based on different criteria such as topics and styles, giving several classification tasks of different difficulty levels. This paper introduces a new syllable-based document representation at the morphological level of the language for efficient classification. We tested the representation on our corpus with different classification tasks using six classification algorithms and two feature selection techniques. Our experiments show that the new representation is effective for Vietnamese categorization, and suggest that best performance can be achieved using syllable-pair document representation, an SVM with a polynomial kernel as the learning algorithm, and using Information gain and an external dictionary for feature selection.

  14. Small-scale classification schemes

    DEFF Research Database (Denmark)

    Hertzum, Morten

    2004-01-01

    important means of discretely balancing the contractual aspect of requirements engineering against facilitating the users in an open-ended search for their system requirements. The requirements classification is analysed in terms of the complementary concepts of boundary objects and coordination mechanisms......Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handling the system requirements during the redevelopment of a nation-wide information system. This requirements...... classification inherited a lot of its structure from the existing system and rendered requirements that transcended the framework laid out by the existing system almost invisible. As a result, the requirements classification became a defining element of the requirements-engineering process, though its main...

  15. Agriculture classification using POLSAR data

    DEFF Research Database (Denmark)

    Skriver, Henning; Dall, Jørgen; Ferro-Famil, Laurent;

    2005-01-01

    data, and a very important class of algorithms is the knowledge-based approaches. Here, generic characteristics of different cover types are derived by combining physical reasoning with the available empirical evidence. These are then used to define classification rules. Because of their emphasis on...... the physical content of the SAR data they attempt to generate robust, widely applicable methods, which are nonetheless capable of taking local conditions into account. In this paper a classification approach is presented, that uses a knowledge-based approach, where the crops are first classified into...... crops. This part of the classification process is not as well established as the first part, and both a supervised approach and a knowledge-based approach have been evaluated. Both POLSAR and PolInSAR data may be included in the classification scheme. The classification approach has been evaluated using...

  16. Towards Rule-Guided Classification for Volunteered Geographic Information

    Science.gov (United States)

    Loai Ali, A.; Schmid, F.; Falomir, Z.; Freksa, C.

    2015-08-01

    Crowd-sourcing, especially in form of Volunteered Geographic Information (VGI) significantly changed the way geographic data is collected and the products that are generated from them. In VGI projects, contributors' heterogeneity fosters rich data sources, however with problematic quality. In this paper, we tackle data quality from a classification perspective. Particularly in VGI, data classification presents some challenges: In some cases, the classification of entities depends on individual conceptualization about the environment. Whereas in other cases, a geographic feature itself might have ambiguous characteristics. These problems lead to inconsistent and inappropriate classifications. To face these challenges, we propose a guided classification approach. The approach employs data mining algorithms to develop a classifier, through investigating the geographic characteristics of target feature classes. The developed classifier acts to distinguish between related classes like forest, meadow and park. Then, the classifier could be used to guide the contributors during the classification process. The findings of an empirical study illustrate that the developed classifier correctly predict some classes. However, it still has a limited accuracy with other related classes.

  17. On the classification of Yang Mills fields

    International Nuclear Information System (INIS)

    A scheme of Classification for Yang Mills fields analogous to the Petrov Classification in general relativity is discussed. It is also shown how such a classification is used to obtain explicit solutions of the equations of motion. (author)

  18. 75 FR 10529 - Mail Classification Change

    Science.gov (United States)

    2010-03-08

    ... Mail Classification Change AGENCY: Postal Regulatory Commission. ACTION: Notice. SUMMARY: The... Classification Schedule. The change affects a change in terminology. This notice addresses procedural steps....90 et seq. concerning a change in classification which reflects a change in terminology from...

  19. Galaxy Image Processing and Morphological Classification Using Machine Learning

    Science.gov (United States)

    Kates-Harbeck, Julian

    2012-03-01

    This work uses data from the Sloan Digital Sky Survey (SDSS) and the Galaxy Zoo Project for classification of galaxy morphologies via machine learning. SDSS imaging data together with reliable human classifications from Galaxy Zoo provide the training set and test set for the machine learning architectures. Classification is performed with hand-picked, pre-computed features from SDSS as well as with the raw imaging data from SDSS that was available to humans in the Galaxy Zoo project. With the hand-picked features and a logistic regression classifier, 95.21% classification accuracy and an area under the ROC curve of 0.986 are attained. In the case of the raw imaging data, the images are first processed to remove background noise, image artifacts, and celestial objects other than the galaxy of interest. They are then rotated onto their principle axis of variance to guarantee rotational invariance. The processed images are used to compute color information, up to 4^th order central normalized moments, and radial intensity profiles. These features are used to train a support vector machine with a 3^rd degree polynomial kernel, which achieves a classification accuracy of 95.89% with an ROC area of 0.943.

  20. Experimental demonstration of an adaptive architecture for direct spectral imaging classification.

    Science.gov (United States)

    Dunlop-Gray, Matthew; Poon, Phillip K; Golish, Dathon; Vera, Esteban; Gehm, Michael E

    2016-08-01

    Spectral imaging is a powerful tool for providing in situ material classification across a spatial scene. Typically, spectral imaging analyses are interested in classification, though often the classification is performed only after reconstruction of the spectral datacube. We present a computational spectral imaging system, the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C), which yields direct classification across the spatial scene without reconstruction of the source datacube. With a dual disperser architecture and a programmable spatial light modulator, the AFSSI-C measures specific projections of the spectral datacube which are generated by an adaptive Bayesian classification and feature design framework. We experimentally demonstrate multiple order-of-magnitude improvement of classification accuracy in low signal-to-noise (SNR) environments when compared to legacy spectral imaging systems. PMID:27505794

  1. On deformation and classification of V-systems

    OpenAIRE

    V. Schreiber; A.P. Veselov

    2014-01-01

    The V-systems are special finite sets of covectors which appeared in the theory of the generalized Witten-Dijkgraaf-Verlinde-Verlinde (WDVV) equations. Several families of V-systems are known but their classification is an open problem. We derive the relations describing the infinitesimal deformations of V-systems and use them to study the classification problem for V-systems in dimension 3. We discuss also possible matroidal structures of V-systems in relation with projective geometry and gi...

  2. Comparison of four classification methods for brain-computer interface

    Czech Academy of Sciences Publication Activity Database

    Frolov, A.; Húsek, Dušan; Bobrov, P.

    2011-01-01

    Roč. 21, č. 2 (2011), s. 101-115. ISSN 1210-0552 R&D Projects: GA MŠk(CZ) 1M0567; GA ČR GA201/05/0079; GA ČR GAP202/10/0262 Institutional research plan: CEZ:AV0Z10300504 Keywords : brain computer interface * motor imagery * visual imagery * EEG pattern classification * Bayesian classification * Common Spatial Patterns * Common Tensor Discriminant Analysis Subject RIV: IN - Informatics, Computer Science Impact factor: 0.646, year: 2011

  3. Beyond Simple Classifications

    DEFF Research Database (Denmark)

    Kautz, Karlheinz

    2012-01-01

    general, beyond any particular development approach chosen for the execution of a project such as agile development. Thereby, we contribute to a complexity theory of ISD. Second, we back up our argument with a coherent empirical account of contemporary ISD, and thus contribute with practical advice for...

  4. Nonparametric Bayesian Classification

    CERN Document Server

    Coram, M A

    2002-01-01

    A Bayesian approach to the classification problem is proposed in which random partitions play a central role. It is argued that the partitioning approach has the capacity to take advantage of a variety of large-scale spatial structures, if they are present in the unknown regression function $f_0$. An idealized one-dimensional problem is considered in detail. The proposed nonparametric prior uses random split points to partition the unit interval into a random number of pieces. This prior is found to provide a consistent estimate of the regression function in the $\\L^p$ topology, for any $1 \\leq p < \\infty$, and for arbitrary measurable $f_0:[0,1] \\rightarrow [0,1]$. A Markov chain Monte Carlo (MCMC) implementation is outlined and analyzed. Simulation experiments are conducted to show that the proposed estimate compares favorably with a variety of conventional estimators. A striking resemblance between the posterior mean estimate and the bagged CART estimate is noted and discussed. For higher dimensions, a ...

  5. Classification of titanium dioxide

    International Nuclear Information System (INIS)

    In this work the X-ray diffraction (XRD), Scanning Electron Microscopy (Sem) and the X-ray Dispersive Energy Spectroscopy techniques are used with the purpose to achieve a complete identification of phases and mixture of phases of a crystalline material as titanium dioxide. The problem for solving consists of being able to distinguish a sample of titanium dioxide being different than a titanium dioxide pigment. A standard sample of titanium dioxide with NIST certificate is used, which indicates a purity of 99.74% for the TiO2. The following way is recommended to proceed: a)To make an analysis by means of X-ray diffraction technique to the sample of titanium dioxide pigment and on the standard of titanium dioxide waiting not find differences. b) To make a chemical analysis by the X-ray Dispersive Energy Spectroscopy via in a microscope, taking advantage of the high vacuum since it is oxygen which is analysed and if it is concluded that the aluminium oxide appears in a greater proportion to 1% it is established that is a titanium dioxide pigment, but if it is lesser then it will be only titanium dioxide. This type of analysis is an application of the nuclear techniques useful for the tariff classification of merchandise which is considered as of difficult recognition. (Author)

  6. Classification and Phylogenetics of Myxozoa

    Czech Academy of Sciences Publication Activity Database

    Fiala, Ivan; Bartošová-Sojková, Pavla; Whipps, C. M.

    Cham: Springer International Publishing, 2015 - (Okamura, B.; Gruhl, A.; Bartholomew, J.), s. 85-110 ISBN 978-3-319-14752-9 Institutional support: RVO:60077344 Keywords : Taxonomy * Classification * Myxosporea * Actinosporea * Spore * Phylogeny Subject RIV: EG - Zoology

  7. Text Classification using Artificial Intelligence

    CERN Document Server

    Kamruzzaman, S M

    2010-01-01

    Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms for classifying text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using artificial intelligence technique that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of na\\"ive Bayes classifier is then used on derived features and finally only a single concept of genetic algorithm has been added for final classification. A syste...

  8. CLASSIFICATION FRAMEWORK FOR COASTAL SYSTEMS

    Science.gov (United States)

    U.S. Environmental Protection Agency. Classification Framework for Coastal Systems. EPA/600/R-04/061. U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, RI, Gulf Ecology Division, Gulf Bree...

  9. Classification of Building Object Types

    DEFF Research Database (Denmark)

    Jørgensen, Kaj Asbjørn

    2011-01-01

    Development of the existing classification systems has been very difficult and time consuming tasks, where many considerations have been taken and many compromises have been made. The results reveal that, although the theoretical foundation was clarified, many deviations and shortcuts have been...... made. This is certainly the case in the Danish development. Based on the theories about these abstraction mechanisms, the basic principles for classification systems are presented and the observed misconceptions are analyses and explained. Furthermore, it is argued that the purpose of classification...... systems has changed and that new opportunities should be explored. Some proposals for new applications are presented and carefully aligned with IT opportunities. Especially, the use of building modelling will give new benefits and many of the traditional uses of classification systems will instead be...

  10. Classification of Magnetic Nanoparticle Systems

    DEFF Research Database (Denmark)

    Bogren, Sara; Fornara, Andrea; Ludwig, Frank;

    2015-01-01

    This study presents classification of different magnetic single- and multi-core particle systems using their measured dynamic magnetic properties together with their nanocrystal and particle sizes. The dynamic magnetic properties are measured with AC (dynamical) susceptometry and magnetorelaxometry...

  11. The classification on short message

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This paper discusses the importance of the classification of short message, and details some key technologies related. Through implementing a fundamental prototype, some basic models and technical references are provided.

  12. Biogeography based Satellite Image Classification

    CERN Document Server

    Panchal, V K; Kaur, Navdeep; Kundra, Harish

    2009-01-01

    Biogeography is the study of the geographical distribution of biological organisms. The mindset of the engineer is that we can learn from nature. Biogeography Based Optimization is a burgeoning nature inspired technique to find the optimal solution of the problem. Satellite image classification is an important task because it is the only way we can know about the land cover map of inaccessible areas. Though satellite images have been classified in past by using various techniques, the researchers are always finding alternative strategies for satellite image classification so that they may be prepared to select the most appropriate technique for the feature extraction task in hand. This paper is focused on classification of the satellite image of a particular land cover using the theory of Biogeography based Optimization. The original BBO algorithm does not have the inbuilt property of clustering which is required during image classification. Hence modifications have been proposed to the original algorithm and...

  13. Text Classification using Data Mining

    CERN Document Server

    Kamruzzaman, S M; Hasan, Ahmed Ryadh

    2010-01-01

    Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using data mining that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of Naive Bayes classifier is then used on derived features and finally only a single concept of Genetic Algorithm has been added for final classification. A system based on the...

  14. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2013-01-01

    Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification...

  15. Cooperative forestry inventory project for Nevada

    Science.gov (United States)

    Thornhill, R.

    1981-01-01

    A forest inventory project employing computerized classification of LANDSAT data to inventory vegetation types in western Nevada is described. The methodology and applicability of the resulting survey are summarized.

  16. Incremental classification of invoice documents

    OpenAIRE

    Hamza, Hatem; Belaïd, Yolande; Belaïd, Abdel; Chaudhuri, Bidyut Baran

    2008-01-01

    ISBN : 978-1-4244-2174-9 International audience This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network called IGNG (Incremental Growing Neural Gas) is used for this purpose . This neural network tries to cover the space of data by adding or deleting neurons as data is fed to the system. The improved version of the IGNG, called I2GNG used local thresholds in order to ...

  17. Focal mechanism estimation by classification

    OpenAIRE

    Lasscock, Ben G.; Hall, Brendon J.; Glinsky, Michael E.

    2014-01-01

    A classification technique for identifying focal mechanism type and fault plane orientation based on the polarity of P-wave "first motion" data is derived. A support vector machine is used to classify the polarity data in the space of spherical harmonic functions. The classification is non-parametric in the sense that there is no requirement to make a priori assumptions source mechanism. A metric of similarity potentially able to distinguish shear versus tensile dislocation without requiring ...

  18. Optimizing classification in intelligence processing

    OpenAIRE

    Costica, Yinon

    2010-01-01

    Approved for public release; distribution is unlimited The intelligence making process, often described as the intelligence cycle, consists of phases. Congestion may be experienced in phases that require time consuming tasks such as translation, processing and analysis. To ameliorate the performance of those timeconsuming phases, a preliminary classification of intelligence items regarding their relevance and value to an intelligence request is performed. This classification is subject to ...

  19. Psychiatric classification and subjective experience

    OpenAIRE

    Cooper, Rachel

    2012-01-01

    This article does not directly consider the feelings and emotions that occur in mental illness. Rather, it concerns a higher level methodological question: To what extent is an analysis of feelings and felt emotions of importance for psychiatric classification? Some claim that producing a phenomenologically informed descriptive psychopathology is a prerequisite for serious taxonomic endeavor. Others think that classifications of mental disorders may ignore subjective experience. A middle view...

  20. Events Classification in Log Audit

    OpenAIRE

    Sabah Al-Fedaghi; Fahad Mahdi

    2010-01-01

    Information security audit is a monitoring/logging mechanism to ensure compliance with regulations and to detect abnormalities, security breaches, and privacy violations; however, auditing too many events causes overwhelming use of system resources and impacts performance. Consequently, a classification of events is used to prioritize events and configure the log system. Rules can be applied according to this classification to make decisions about events to be archived and types of actions in...

  1. Towards Automatic Classification of Neurons

    OpenAIRE

    Armañanzas, Rubén; Ascoli, Giorgio A.

    2015-01-01

    The classification of neurons into types has been much debated since the inception of modern neuroscience. Recent experimental advances are accelerating the pace of data collection. The resulting information growth of morphological, physiological, and molecular properties encourages efforts to automate neuronal classification by powerful machine learning techniques. We review state-of-the-art analysis approaches and availability of suitable data and resources, highlighting prominent challenge...

  2. Eclipsing variables: Catalogue and classification

    OpenAIRE

    Avvakumova, E. A.; Malkov, O. Y.; Kniazev, A. Y.

    2013-01-01

    A new version of the Catalogue of Eclipsing Variables is presented. The catalogue contains parameters and morphological types of light curves for some 7200 stars. Spectral classification is also given when available. Recently published information about classification of 1352 systems is also included in the catalogue. Thus, the catalogue represents the largest list of eclipsing binaries classified from observations. The analysis of stellar parameter distributions of catalogued eclipsing syste...

  3. Unsolvability Cores in Classification Problems

    OpenAIRE

    Walter, Hermann K. -G.; Brandt, Ulrike

    2014-01-01

    Classification problems have been introduced by M. Ziegler as a generalization of promise problems. In this paper we are concerned with solvability and unsolvability questions with respect to a given set or language family, especially with cores of unsolvability. We generalize the results about unsolvability cores in promise problems to classification problems. Our main results are a characterization of unsolvability cores via cohesiveness and existence theorems for such cores in unsolvable c...

  4. Quantum computing for pattern classification

    OpenAIRE

    Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco

    2014-01-01

    It is well known that for certain tasks, quantum computing outperforms classical computing. A growing number of contributions try to use this advantage in order to improve or extend classical machine learning algorithms by methods of quantum information theory. This paper gives a brief introduction into quantum machine learning using the example of pattern classification. We introduce a quantum pattern classification algorithm that draws on Trugenberger's proposal for measuring the Hamming di...

  5. Landcover classification: western Kenya, 2010.

    OpenAIRE

    Wardrop, Nicola A.

    2015-01-01

    Landcover classifications were produced for an area of western Kenya based on ASTER (15m spatial resolution) and Landsat (30m spatial resolution) imagery from 2010 and 2011. The land cover classification was carried out in a hierarchical manner, resulting in two overarching classes (a) vegetated land (versus built up and bare ground) and (b) flooding land (versus non-flooding land); and five lower level classes (c) agricultural land and grassland, (d) swamp, (e) trees and shrubs, (f) rice and...

  6. Waste classification and choice of geological repository concept. Ukrainian case

    International Nuclear Information System (INIS)

    A new classification scheme for the disposal of radioactive waste was developed for Ukraine within the framework of the EC project U.04.01/08-C. This scheme is based on final disposal options for different waste classes and complies with IAEA recommendations. The implementation of the new classification scheme leads to an essential reduction in disposal costs and allows solving the problem of 'accident waste' disposal using an economically acceptable method. The economic effect of the new classifications implementation makes the use of both concepts of geological repositories appealing in Ukraine: repository at the intermediate depth for disposal intermediate level waste, and the deep geological repository of borehole type for the disposal of spent fuel and vitrified high-level waste.

  7. 土地整理项目利益相关者界定与分类研究%Definition and Classification of the Stakeholders in Land Consolidation Project

    Institute of Scientific and Technical Information of China (English)

    刘向东; 郭碧君; 郭毛选

    2012-01-01

    通过问卷调查法、统计分析法、多维评分法等方法对土地整理项目的利益相关者进行界定和分类,确定了25种利益相关者,将其分为3类:核心利益相关者,包括县级政府、县级国土部门、县级土地整理中心、农民集体经济组织、农户、乡级政府、村民委员会;中间利益相关者,包括中央政府、国土资源部、国土资源部土地整理中心、省级国土部门、省级土地整理中心、县级财政部门、县级水利部门、政府监察部门、政府审计部门、社会公众;外围利益相关者,包括县级环保部门、县级农业部门、监理机构、设计机构、工程承包商、设备供应商、材料供应商、招标代理机构.项目管理者应当重视利益相关者的利益诉求,并采取不同的应对策略.%Using the methods of questionnaire survey, statistical analysis and multidimensional rating method, we define and classify the the stakeholders in land consolidation project. 25 kinds of stakeholders are determined, divided into three categories: core stakeholders, including county-level government, county-level land departments, county-level land consolidation center, the rural collective economic organizations, farmers, township government, and the villagers' committee: middle stakeholders, including central government, the Ministry of Land and Resources, the Ministry of Land and Resources Land Consolidation Center, the provincial land departments, the provincial land consolidation center, the county-level finance departments, the county-level water resources departments, the government supervisory departments, government audit departments, and the public:peripheral stakeholders,including the county-level environmental protection departments,the county-level agricultural departments,supervisory agencies, design agencies, project contractors, equipment suppliers, material suppliers, and the bidding agencies. The project managers should pay

  8. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information classifi......Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related task-performance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice and...

  9. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information classifi......Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related taskperformance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice and...

  10. Progression in nuclear classification

    International Nuclear Information System (INIS)

    In this book, summarize the author's achievements of nuclear classification by new method in latest 30 years, new foundational law of nuclear layer in matter world is found. It is explained with a hypothesis of a nucleus which it is made up of two nucleon's clusters with deuteron and triton. Its concrete content is: to advance a new method which analyze data of nuclei with natural abundance using relationship between the numbers of proton and neutron. The relationship of each nucleus increases to 4 sets: S+H=Z H+Z=N Z+N=A and S-H=K. To expand the similarity between proton and neutron to the similarity among p,n, deuteron, triton, and He-5 clusters. According to the distribution law of same kind of nuclei, it obtains that the upper limits of stable region both should be '44s'. New foundational law of nuclear system is 1,2,4,8,16,8,4,2,1. In order to explain new law, a hypothesis which nucleus is made up of deuteron and triton is developing and nuclear field of whole number is built up. And it relates that unity of matter motion, which is the most foundational form atomic nuclear systematic is similar to the most first-class form chromosome numbers of mankind. These achievements will shake the foundations of traditional nuclear science. These achievements will supply new tasks in developing nuclear theory. And shake the ground of which magic number is the basic of nuclear science. It opens up a new field on foundational research. The book will supply new knowledge for researcher, teachers and students in universities and polytechnic schools. Scientific workers read in works of research and technical exploit. It can be stored up for library and laboratory of society and universities. In nowadays of prosperity our nation by science and education, the book is readable for workers of scientific technology and amateurs of natural science

  11. Classification and clinical assessment

    Directory of Open Access Journals (Sweden)

    F. Cantini

    2012-06-01

    Full Text Available There are at least nine classification criteria for psoriatic arthritis (PsA that have been proposed and used in clinical studies. With the exception of the ESSG and Bennett rules, all of the other criteria sets have a good performance in identifying PsA patients. As the CASPAR criteria are based on a robust study methodology, they are considered the current reference standard. However, if there seems to be no doubt that they are very good to classify PsA patients (very high specificity, they might be not sensitive enough to diagnose patients with unknown early PsA. The vast clinical heterogeneity of PsA makes its assessment very challenging. Peripheral joint involvement is measured by 78/76 joint counts, spine involvement by the instruments used for ankylosing spondylitis (AS, dactylitis by involved digit count or by the Leeds dactylitis index, enthesitis by the number of affected entheses (several indices available and psoriasis by the Psoriasis Area and Severity Index (PASI. Peripheral joint damage can be assessed by a modified van der Heijde-Sharp scoring system and axial damage by the methods used for AS or by the Psoriatic Arthritis Spondylitis Radiology Index (PASRI. As in other arthritides, global evaluation of disease activity and severity by patient and physician and assessment of disability and quality of life are widely used. Finally, composite indices that capture several clinical manifestations of PsA have been proposed and a new instrument, the Psoriatic ARthritis Disease Activity Score (PASDAS, is currently being developed.

  12. Classification of reality in different languages

    OpenAIRE

    Golandam A.; Gholami H.

    2013-01-01

    The article deals with the classification of linguistic realities. There are several classifications of the realities on different grounds. Currently there is no uniform classification of cultural and marked units and researchers propose different classifications of reality, based on certain principles.

  13. 10 CFR 61.55 - Waste classification.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 2 2010-01-01 2010-01-01 false Waste classification. 61.55 Section 61.55 Energy NUCLEAR... Requirements for Land Disposal Facilities § 61.55 Waste classification. (a) Classification of waste for near surface disposal—(1) Considerations. Determination of the classification of radioactive waste involves...

  14. 32 CFR 2700.22 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2700.22 Section 2700.22... SECURITY INFORMATION REGULATIONS Derivative Classification § 2700.22 Classification guides. OMSN shall issue classification guides pursuant to section 2-2 of E.O. 12065. These guides, which shall be used...

  15. 32 CFR 2400.6 - Classification levels.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification levels. 2400.6 Section 2400.6... Original Classification § 2400.6 Classification levels. (a) National security information (hereinafter... three authorized classification levels, such as “Secret Sensitive” or “Agency Confidential.” The...

  16. 7 CFR 51.2284 - Size classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Size classification. 51.2284 Section 51.2284... Size classification. The following classifications are provided to describe the size of any lot... shall conform to the requirements of the specified classification as defined below: (a) Halves....

  17. 32 CFR 2001.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2001.15 Section 2001.15..., NATIONAL ARCHIVES AND RECORDS ADMINISTRATION CLASSIFIED NATIONAL SECURITY INFORMATION Classification § 2001.15 Classification guides. (a) Preparation of classification guides. Originators of...

  18. 45 CFR 601.5 - Derivative classification.

    Science.gov (United States)

    2010-10-01

    ... 45 Public Welfare 3 2010-10-01 2010-10-01 false Derivative classification. 601.5 Section 601.5... CLASSIFICATION AND DECLASSIFICATION OF NATIONAL SECURITY INFORMATION § 601.5 Derivative classification. Distinct from “original” classification is the determination that information is in substance the same...

  19. 7 CFR 51.1860 - Color classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Color classification. 51.1860 Section 51.1860... STANDARDS) United States Standards for Fresh Tomatoes 1 Color Classification § 51.1860 Color classification... illustrating the color classification requirements, as set forth in this section. This visual aid may...

  20. 7 CFR 28.911 - Review classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Review classification. 28.911 Section 28.911... REGULATIONS COTTON CLASSING, TESTING, AND STANDARDS Cotton Classification and Market News Service for Producers Classification § 28.911 Review classification. (a) A producer may request one...

  1. 28 CFR 345.20 - Position classification.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Position classification. 345.20 Section... INDUSTRIES (FPI) INMATE WORK PROGRAMS Position Classification § 345.20 Position classification. (a) Inmate... the objectives and principles of pay classification as a part of the routine orientation of new...

  2. HIV classification using coalescent theory

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Ming [Los Alamos National Laboratory; Letiner, Thomas K [Los Alamos National Laboratory; Korber, Bette T [Los Alamos National Laboratory

    2008-01-01

    Algorithms for subtype classification and breakpoint detection of HIV-I sequences are based on a classification system of HIV-l. Hence, their quality highly depend on this system. Due to the history of creation of the current HIV-I nomenclature, the current one contains inconsistencies like: The phylogenetic distance between the subtype B and D is remarkably small compared with other pairs of subtypes. In fact, it is more like the distance of a pair of subsubtypes Robertson et al. (2000); Subtypes E and I do not exist any more since they were discovered to be composed of recombinants Robertson et al. (2000); It is currently discussed whether -- instead of CRF02 being a recombinant of subtype A and G -- subtype G should be designated as a circulating recombination form (CRF) nd CRF02 as a subtype Abecasis et al. (2007); There are 8 complete and over 400 partial HIV genomes in the LANL-database which belong neither to a subtype nor to a CRF (denoted by U). Moreover, the current classification system is somehow arbitrary like all complex classification systems that were created manually. To this end, it is desirable to deduce the classification system of HIV systematically by an algorithm. Of course, this problem is not restricted to HIV, but applies to all fast mutating and recombining viruses. Our work addresses the simpler subproblem to score classifications of given input sequences of some virus species (classification denotes a partition of the input sequences in several subtypes and CRFs). To this end, we reconstruct ancestral recombination graphs (ARG) of the input sequences under restrictions determined by the given classification. These restritions are imposed in order to ensure that the reconstructed ARGs do not contradict the classification under consideration. Then, we find the ARG with maximal probability by means of Markov Chain Monte Carlo methods. The probability of the most probable ARG is interpreted as a score for the classification. To our

  3. AN EFFICIENT CLASSIFICATION OF GENOMES BASED ON CLASSES AND SUBCLASSES

    Directory of Open Access Journals (Sweden)

    B.V. DHANDRA,

    2010-08-01

    Full Text Available The grass family has been the subject of intense research over the past. Reliable and fast classification / sub-classification of large sequences which are rapidly gaining importance due to genome sequencing projects all over the world is contributing large amount of genome sequences to public gene bank . Hence sequence classification has gained importance for predicting the genome function, structure, evolutionary relationships and also gives the insight into the features associated with the biological role of the class. Thus, classification of functional genome is an important andchallenging task to both computer scientists and biologists. The presence of motifs in grass genome chains predicts the functional behavior of the grass genome. The correlation between grass genome properties and their motifs is not always obvious since more than one motif may exist within a genome chain. Due to the complexity of this association most of the data mining algorithms are either non efficient or time consuming. Hence, in this paper we proposed an efficient method for main classes based on classes to reduce the time complexity for the classification of large sequences of grass genomes dataset. The proposed approaches classify the given dataset into classes with conserved threshold and again reclassify the class relaxed threshold into major classes. Experimental results indicate that the proposed method reduces the time complexity keepingclassification accuracy level as that compared with general NNCalgorithm.

  4. Extratropical cyclone classification and its use in climate studies

    Science.gov (United States)

    Catto, J. L.

    2016-06-01

    Extratropical cyclones have long been known to be important for midlatitude weather. It is therefore important that our current state-of-the-art climate models are able to realistically represent these features, in order that we can have confidence in how they are projected to change in a warming climate. Despite the observation that these cyclones are extremely variable in their structure and features, there have, over the years, been numerous attempts to classify or group them. Such classifications can provide insight into the different cloud structures, airflows, and dynamical forcing mechanisms within the different cyclone types. This review collects and details as many classification techniques as possible, and may therefore act as a reference guide to classifications. These classifications offer the opportunity to improve the way extratropical cyclone evaluation in climate models is currently done by giving more insight into the dynamical and physical processes that occur in climate models (rather than just evaluating the mean state over a broad region as is often done). Examples of where these ideas have been used, or could be used, are reviewed. Finally, the potential impacts of future climate changes on extratropical cyclones are detailed. The ways in which the classification techniques could improve our understanding of future changes in extratropical cyclones and their impacts are given.

  5. Satellite image classification using convolutional learning

    Science.gov (United States)

    Nguyen, Thao; Han, Jiho; Park, Dong-Chul

    2013-10-01

    A satellite image classification method using Convolutional Neural Network (CNN) architecture is proposed in this paper. As a special case of deep learning, CNN classifies classes of images without any feature extraction step while other existing classification methods utilize rather complex feature extraction processes. Experiments on a set of satellite image data and the preliminary results show that the proposed classification method can be a promising alternative over existing feature extraction-based schemes in terms of classification accuracy and classification speed.

  6. Risk Classification and Risk-based Safety and Mission Assurance

    Science.gov (United States)

    Leitner, Jesse A.

    2014-01-01

    Recent activities to revamp and emphasize the need to streamline processes and activities for Class D missions across the agency have led to various interpretations of Class D, including the lumping of a variety of low-cost projects into Class D. Sometimes terms such as Class D minus are used. In this presentation, mission risk classifications will be traced to official requirements and definitions as a measure to ensure that projects and programs align with the guidance and requirements that are commensurate for their defined risk posture. As part of this, the full suite of risk classifications, formal and informal will be defined, followed by an introduction to the new GPR 8705.4 that is currently under review.GPR 8705.4 lays out guidance for the mission success activities performed at the Classes A-D for NPR 7120.5 projects as well as for projects not under NPR 7120.5. Furthermore, the trends in stepping from Class A into higher risk posture classifications will be discussed. The talk will conclude with a discussion about risk-based safety and mission assuranceat GSFC.

  7. A classification scheme for LWR fuel assemblies

    International Nuclear Information System (INIS)

    With over 100 light water nuclear reactors operating nationwide, representing designs by four primary vendors, and with reload fuel manufactured by these vendors and additional suppliers, a wide variety of fuel assembly types are in existence. At Oak Ridge National Laboratory, both the Systems Integration Program and the Characteristics Data Base project required a classification scheme for these fuels. This scheme can be applied to other areas and is expected to be of value to many Office of Civilian Radioactive Waste Management programs. To develop the classification scheme, extensive information on the fuel assemblies that have been and are being manufactured by the various nuclear fuel vendors was compiled, reviewed, and evaluated. It was determined that it is possible to characterize assemblies in a systematic manner, using a combination of physical factors. A two-stage scheme was developed consisting of 79 assembly types, which are grouped into 22 assembly classes. The assembly classes are determined by the general design of the reactor cores in which the assemblies are, or were, used. The general BWR and PWR classes are divided differently but both are based on reactor core configuration. 2 refs., 15 tabs

  8. Classification of uranium reserves/resources

    International Nuclear Information System (INIS)

    Projections of future availability of uranium to meet present and future nuclear power requirements depend on the reliability of uranium resource estimates. Lack of harmony of the definition of the different classes of uranium reserves and resources between countries makes the compilation and analysis of such information difficult. The problem was accentuated in the early 1990s with the entry of uranium producing countries from the former Soviet Union, eastern Europe and China into the world uranium supply market. The need for an internationally acceptable reserve/resource classification system and terminology using market based criteria is therefore obvious. This publication was compiled from participant's contributions and findings of the Consultants Meetings on Harmonization of Uranium Resource Assessment Concepts held in Vienna from 22 to 25 June 1992, and two Consultants Meetings on the Development of a More Meaningful Classification of Uranium Resources held in Kiev, Ukraine on 24-26 April 1995 and 20-23 August 1996. This document includes 11 contributions, summary, list of participants of the Consultants Meetings. Each contribution has been indexed and provided with an abstract

  9. Results from the Supernova Photometric Classification Challenge

    CERN Document Server

    Kessler, Richard; Belov, Pavel; Bhatnagar, Vasudha; Campbell, Heather; Conley, Alex; Frieman, Joshua A; Glazov, Alexandre; Hlozek, Santiago Gonzalez-Gaitan Renee; Jha, Saurabh; Kuhlmann, Stephen; Kunz, Martin; Lampeitl, Hubert; Mahabal, Ashish; Newling, James; Nichol, Robert C; Parkinson, David; Philip, Ninan Sajeeth; Poznanski, Dovi; Richards, Joseph W; Rodney, Steven A; Sako, Masao; Schneider, Donald P; Smith, Mathew; Stritzinger, Maximilian; Varughese, Melvin

    2010-01-01

    We report results from the Supernova Photometric Classification Challenge (SNPCC), a publicly released mix of simulated SNe, with types (Ia, Ibc, II) selected in proportion to their expected rate. The simulation was realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point spread function and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Sky Survey-II (SDSS-II). A spectroscopically confirmed subset was provided for training. We challenged scientists to run their classification algorithms and report a type and photo-z for each SN. Participants from 10 groups contributed 13 entries for the sample that included a host galaxy photo-z for each SN, and 9 entries for the sample that had no redshi...

  10. The DSM-5: Classification and criteria changes.

    Science.gov (United States)

    Regier, Darrel A; Kuhl, Emily A; Kupfer, David J

    2013-06-01

    The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) marks the first significant revision of the publication since the DSM-IV in 1994. Changes to the DSM were largely informed by advancements in neuroscience, clinical and public health need, and identified problems with the classification system and criteria put forth in the DSM-IV. Much of the decision-making was also driven by a desire to ensure better alignment with the International Classification of Diseases and its upcoming 11th edition (ICD-11). In this paper, we describe select revisions in the DSM-5, with an emphasis on changes projected to have the greatest clinical impact and those that demonstrate efforts to enhance international compatibility, including integration of cultural context with diagnostic criteria and changes that facilitate DSM-ICD harmonization. It is anticipated that this collaborative spirit between the American Psychiatric Association (APA) and the World Health Organization (WHO) will continue as the DSM-5 is updated further, bringing the field of psychiatry even closer to a singular, cohesive nosology. PMID:23737408

  11. Nuclear reactors transients identification and classification system

    International Nuclear Information System (INIS)

    This work describes the study and test of a system capable to identify and classify transients in thermo-hydraulic systems, using a neural network technique of the self-organizing maps (SOM) type, with the objective of implanting it on the new generations of nuclear reactors. The technique developed in this work consists on the use of multiple networks to do the classification and identification of the transient states, being each network a specialist at one respective transient of the system, that compete with each other using the quantization error, that is a measure given by this type of neural network. This technique showed very promising characteristics that allow the development of new functionalities in future projects. One of these characteristics consists on the potential of each network, besides responding what transient is in course, could give additional information about that transient. (author)

  12. Color Image Classification Using Support Vector Machines

    Institute of Scientific and Technical Information of China (English)

    冯霞

    2003-01-01

    An efficient method using various histogram-based (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categories is presented. Principal component analysis(PCA) is used to project the original high dimensional histograms onto their eigenspaees. Lower dimensional eigenfeatures are then used to train support vector machines(SVMs) to classify images into their categories. Experimental results show that even though different descriptors perform differently,they are all highly redundant. It is shown that the dimensionality of all these descriptors,regardless of their performances,can be significantly reduced without affecting classification accuracy, Such scheme would be useful when it is used in an interactive setting for relevant feedback in content-based image retrieval,where low dimensional content descriptors will enable fast online learning and reclassification of results.

  13. Automated Analysis, Classification, and Display of Waveforms

    Science.gov (United States)

    Kwan, Chiman; Xu, Roger; Mayhew, David; Zhang, Frank; Zide, Alan; Bonggren, Jeff

    2004-01-01

    A computer program partly automates the analysis, classification, and display of waveforms represented by digital samples. In the original application for which the program was developed, the raw waveform data to be analyzed by the program are acquired from space-shuttle auxiliary power units (APUs) at a sampling rate of 100 Hz. The program could also be modified for application to other waveforms -- for example, electrocardiograms. The program begins by performing principal-component analysis (PCA) of 50 normal-mode APU waveforms. Each waveform is segmented. A covariance matrix is formed by use of the segmented waveforms. Three eigenvectors corresponding to three principal components are calculated. To generate features, each waveform is then projected onto the eigenvectors. These features are displayed on a three-dimensional diagram, facilitating the visualization of the trend of APU operations.

  14. Classification of Regional Ionospheric Disturbances Based on Support Vector Machines

    Science.gov (United States)

    Begüm Terzi, Merve; Arikan, Feza; Arikan, Orhan; Karatay, Secil

    2016-07-01

    Ionosphere is an anisotropic, inhomogeneous, time varying and spatio-temporally dispersive medium whose parameters can be estimated almost always by using indirect measurements. Geomagnetic, gravitational, solar or seismic activities cause variations of ionosphere at various spatial and temporal scales. This complex spatio-temporal variability is challenging to be identified due to extensive scales in period, duration, amplitude and frequency of disturbances. Since geomagnetic and solar indices such as Disturbance storm time (Dst), F10.7 solar flux, Sun Spot Number (SSN), Auroral Electrojet (AE), Kp and W-index provide information about variability on a global scale, identification and classification of regional disturbances poses a challenge. The main aim of this study is to classify the regional effects of global geomagnetic storms and classify them according to their risk levels. For this purpose, Total Electron Content (TEC) estimated from GPS receivers, which is one of the major parameters of ionosphere, will be used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. In this work, for the automated classification of the regional disturbances, a classification technique based on a robust machine learning technique that have found wide spread use, Support Vector Machine (SVM) is proposed. SVM is a supervised learning model used for classification with associated learning algorithm that analyze the data and recognize patterns. In addition to performing linear classification, SVM can efficiently perform nonlinear classification by embedding data into higher dimensional feature spaces. Performance of the developed classification technique is demonstrated for midlatitude ionosphere over Anatolia using TEC estimates generated from the GPS data provided by Turkish National Permanent GPS Network (TNPGN-Active) for solar maximum year of 2011. As a result of implementing the developed classification

  15. Automated Periodontal Diseases Classification System

    Directory of Open Access Journals (Sweden)

    Aliaa A. A. Youssif

    2012-01-01

    Full Text Available This paper presents an efficient and innovative system for automated classification of periodontal diseases, The strength of our technique lies in the fact that it incorporates knowledge from the patients' clinical data, along with the features automatically extracted from the Haematoxylin and Eosin (H&E stained microscopic images. Our system uses image processing techniques based on color deconvolution, morphological operations, and watershed transforms for epithelium & connective tissue segmentation, nuclear segmentation, and extraction of the microscopic immunohistochemical features for the nuclei, dilated blood vessels & collagen fibers. Also, Feedforward Backpropagation Artificial Neural Networks are used for the classification process. We report 100% classification accuracy in correctly identifying the different periodontal diseases observed in our 30 samples dataset.

  16. Rock suitability classification RSC 2012

    International Nuclear Information System (INIS)

    This report presents Posiva's Rock Suitability Classification (RSC) system, developed for locating suitable rock volumes for repository design and construction. The RSC system comprises both the revised rock suitability criteria and the procedure for the suitability classification during the construction of the repository. The aim of the classification is to avoid such features of the host rock that may be detrimental to the favourable conditions within the repository, either initially or in the long term. This report also discusses the implications of applying the RSC system for the fulfilment of the regulatory requirements concerning the host rock as a natural barrier and the site's overall suitability for hosting a final repository of spent nuclear fuel

  17. Hazard classification or risk assessment

    DEFF Research Database (Denmark)

    Hass, Ulla

    to substitute with less toxic compounds. Actually, if exposure is constant across product class, producersmay make substitution decisions based on hazard. Hazard classification is also useful during major accidents where there is no time for risk assessment and the exposure is likely to be......The EU classification of substances for e.g. reproductive toxicants is hazard based and does not to address the risk suchsubstances may pose through normal, or extreme, use. Such hazard classification complies with the consumer's right to know. It is also an incentive to careful use and storage and...... exposure data for other similarly acting substances are needed for assessing the risk for mixture effects. Such data may, however, often be absent. Toxicological potency, i.e. the lowest dose found to cause adverse effects, has been proposed as one of the key characteristics when evaluating safety of a...

  18. Classification systems for stalking behavior.

    Science.gov (United States)

    Racine, Christopher; Billick, Stephen

    2014-01-01

    Stalking is a complex behavioral phenomenon that is unique in that it necessarily involves a prolonged dyadic relationship between both a perpetrator and a victim. Since criminalization of stalking behavior in the 1990s, different conceptual typologies have attempted to classify this behavior to assess risk and aid in management decisions. The authors reviewed the current literature regarding the most recent and accepted stalking classification systems. The three predominant stalker typologies currently in use include Zona's stalker-victim types, Mullen's stalker typology, and the RECON stalker typology. Of these, the RECON classification system alone was developed in an attempt to separate stalkers into groups based on previously known risk factors for behaviorally based phenomenon such as propensity for violence. Understanding and simplifying these classification systems may enhance the potential that new research will lead to evidence-based management and treatment strategies in the stalking situation. PMID:23980606

  19. Rock suitability classification RSC 2012

    Energy Technology Data Exchange (ETDEWEB)

    McEwen, T. (ed.) [McEwen Consulting, Leicester (United Kingdom); Kapyaho, A. [Geological Survey of Finland, Espoo (Finland); Hella, P. [Saanio and Riekkola, Helsinki (Finland); Aro, S.; Kosunen, P.; Mattila, J.; Pere, T.

    2012-12-15

    This report presents Posiva's Rock Suitability Classification (RSC) system, developed for locating suitable rock volumes for repository design and construction. The RSC system comprises both the revised rock suitability criteria and the procedure for the suitability classification during the construction of the repository. The aim of the classification is to avoid such features of the host rock that may be detrimental to the favourable conditions within the repository, either initially or in the long term. This report also discusses the implications of applying the RSC system for the fulfilment of the regulatory requirements concerning the host rock as a natural barrier and the site's overall suitability for hosting a final repository of spent nuclear fuel.

  20. Vehicle Classification by Lane Allowance

    Directory of Open Access Journals (Sweden)

    Vishakha Gaikwad

    2014-12-01

    Full Text Available Classification of vehicles from video is used for analysis of traffic, self-driving systems or security systems. This analysis is based on shape, size, velocity and track of vehicles. These features characterize vehicle in background subtraction and feature extraction methods. Extraction is done by active contours and morphological operations. Extracted vehicles are classified by applying various classification techniques. The combination of features and classification techniques varies with the application. Proposed system, Uses combination of K Nearest Neighbor (KNN and Decision Tree techniques to overcome constraints. These constraints are instances of an object, overlapping of objects, and scaling factor. KNN is utilized to classify vehicle by size and lane. Decision tree manipulates the combination of these two features to classify accurately which results increased performance. This system classifies objects into three classes. These classes are four wheeler, bikers and heavy duty vehicle extracted from video.

  1. Classification Accuracy Is Not Enough

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2013-01-01

    A recent review of the research literature evaluating music genre recognition (MGR) systems over the past two decades shows that most works (81\\%) measure the capacity of a system to recognize genre by its classification accuracy. We show here, by implementing and testing three categorically...... different state-of-the-art MGR systems, that classification accuracy does not necessarily reflect the capacity of a system to recognize genre in musical signals. We argue that a more comprehensive analysis of behavior at the level of the music is needed to address the problem of MGR, and that measuring...... classification accuracy obscures the aim of MGR: to select labels indistinguishable from those a person would choose....

  2. Automatic Hierarchical Color Image Classification

    Directory of Open Access Journals (Sweden)

    Jing Huang

    2003-02-01

    Full Text Available Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem by using low-level image features. In this paper, we propose a method for hierarchical classification of images via supervised learning. This scheme relies on using a good low-level feature and subsequently performing feature-space reconfiguration using singular value decomposition to reduce noise and dimensionality. We use the training data to obtain a hierarchical classification tree that can be used to categorize new images. Our experimental results suggest that this scheme not only performs better than standard nearest-neighbor techniques, but also has both storage and computational advantages.

  3. Classification of Medical Brain Images

    Institute of Scientific and Technical Information of China (English)

    Pan Haiwei(潘海为); Li Jianzhong; Zhang Wei

    2003-01-01

    Since brain tumors endanger people's living quality and even their lives, the accuracy of classification becomes more important. Conventional classifying techniques are used to deal with those datasets with characters and numbers. It is difficult, however, to apply them to datasets that include brain images and medical history (alphanumeric data), especially to guarantee the accuracy. For these datasets, this paper combines the knowledge of medical field and improves the traditional decision tree. The new classification algorithm with the direction of the medical knowledge not only adds the interaction with the doctors, but also enhances the quality of classification. The algorithm has been used on real brain CT images and a precious rule has been gained from the experiments. This paper shows that the algorithm works well for real CT data.

  4. [Classification of periprosthetic shoulder fractures].

    Science.gov (United States)

    Kirchhoff, C; Kirchhoff, S; Biberthaler, P

    2016-04-01

    The key targets in the treatment of periprosthetic humeral fractures (PHF) are the preservation of bone, successful bony consolidation and provision of a stable anchoring of the prosthesis with the major goal of restoring the shoulder-arm function. A substantial problem of periprosthetic shoulder fractures is the fact that treatment is determined not only by the fracture itself but also by the implanted prosthesis and its function. Consequently, the exact preoperative shoulder function and, in the case of an implanted anatomical prosthesis, the status and function of the rotator cuff need to be assessed in order to clarify the possibility of a secondarily occurring malfunction. Of equal importance in this context is the type of implanted prosthesis. The existing classification systems of Wright and Cofield, Campbell et al., Groh et al. and Worland et al. have several drawbacks from a shoulder surgeon's point of view, such as a missing reference to the great variability of the available prostheses and the lack of an evaluation of rotator cuff function. The presented 6‑stage classification for the evaluation of periprosthetic fractures of the shoulder can be considered just as simple or complex to understand as the classification of the working group for osteosynthesis problems (AO, Arbeitsgemeinschaft für Osteosynthesefragen), depending on the viewpoint. From our point of view the classification presented here encompasses the essential points of the existing classification systems and also covers the otherwise missing points, which should be considered in the assessment of such periprosthetic fractures. The classification presented here should provide helpful assistance in the daily routine to find the most convenient form of therapy. PMID:26992712

  5. Supercritical fluid and pharmaceutical applications. Part I: Process classification

    OpenAIRE

    Yoshida, V. M. H.; Balcão, V. M.; Vila, Marta Maria Duarte Carvalho; Júnior, José Martins Oliveira; Aranha, Norberto; Gremião, Maria Palmira Daflon; Chaud, Marco Vinícius

    2016-01-01

    The supercritical fluid technology has been target of many pharmaceuticals investigations in particles production for almost 35 years. This is due to the great advantages it offers over others technologies currently used for the same purpose. A brief history is presented, as well the classification of supercritical technology based on the role that the supercritical fluid (carbon dioxide) performs in the process. FAPESP (São Paulo, Brazil – project 2012/01333-0) for financial support

  6. The GUHA Method Supported Classification of EEG Data

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Kobe: University of Marketing and Distribution Sciences, 2004 - (Noguchi, H.; Ishii, H.; Inuiguchi, M.), s. 174-178 [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /7./. Awaji (JP), 31.08.2004-02.09.2004] R&D Projects: GA MŠk ME 701 Institutional research plan: CEZ:AV0Z1030915 Keywords : micro-sleep * EEG analysis * data mining * classification trees Subject RIV: BA - General Mathematics

  7. Classification by the Use of Decomposition of Correlation Integral

    Czech Academy of Sciences Publication Activity Database

    Jiřina, Marcel; Jiřina jr., M.

    Vol. 5. Berlin : Springer, 2009 - (Abraham, A.; Hassanien, A.; Snášel, V.), s. 39-55 ISBN 978-3-642-01535-9. - (Studies in Computational Intelligence. 205) R&D Projects: GA MŠk(CZ) 1M0567 Institutional research plan: CEZ:AV0Z10300504 Keywords : classification * multifractal * correlation dimension * distribution mapping exponent Subject RIV: IN - Informatics, Computer Science

  8. On Models of Comparison of Multiple Monotone Classifications

    Czech Academy of Sciences Publication Activity Database

    Vojtáš, Peter; Vomlelová, M.

    Paris: Editions EDK, 2006 - (Bouchon-Meunier, B.; Yager, R.), s. 1236-1243 ISBN 2-84254-112-X. [IPMU 2006 /11./. Paris (FR), 02.07.2006-07.07.2006] R&D Projects: GA AV ČR 1ET100300517 Institutional research plan: CEZ:AV0Z10300504 Keywords : monotone classification * generalized annotation programs * Bayesian logic programs * Bayesian networks * combining score for best answers Subject RIV: BA - General Mathematics

  9. Statistics-based classification on tissues in the mandibular region

    Czech Academy of Sciences Publication Activity Database

    Marcon, P.; Bartušek, Karel; Mikulka, J.; Gescheidtová, E.

    Brno : University of technolgy, 2013, s. 624-627. ISBN 978-1-4799-0404-4. [International conference on telecommunications and signal processing /36./. Rome (IT), 02.07.2013-04.07.2013] R&D Projects: GA ČR GAP102/11/0318; GA ČR GAP102/12/1104 Institutional support: RVO:68081731 Keywords : classification * mandibular region * T1W * T2W Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering

  10. Application of backpropagation neural networks to phonetic element classification

    Energy Technology Data Exchange (ETDEWEB)

    Bryan, S.R.

    1990-01-01

    A need was established in conjunction with an USAF-sponsored project to develop a speech element classifier. This classifier had to be capable of placing continuous speech into a number of phoneme-like categories, and also had to be independent of speaker identity and individual voice characteristics. The feasibility of using a neural network to perform this classification task was explored. The results of this exploration are discussed here.

  11. Classification of Heterogeneous EEG Data by Combining Random Forests

    Czech Academy of Sciences Publication Activity Database

    Klaschka, Jan

    Tokyo: Japanese Society of Computational Statistics, 2008 - (Mizuta, M.; Nakano, J.), s. 888-896 ISBN 978-4-9904445-1-8. [IASC 2008. Yokohama (JP), 05.12.2008-08.12.2008] R&D Projects: GA MDS 1F84B/042/520; GA MŠk ME 949 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG classification * somnolence * random forests * combining classifiers Subject RIV: FH - Neurology

  12. Aggregated Fuzzy System for Classification of EEG Spectrograms

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Anheim: ACTA Press, 2009 - (Hamza, M.), s. 16-21 ISBN 978-0-88986-814-4. [ISC 2009. IASTED International Conference on Intelligent Systems and Control /12./. Cambridge (US), 02.12.2009-04.12.2009] R&D Projects: GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG classification * microsleeps detection * implicative fuzzy systems * radial fuzzy systems Subject RIV: IN - Informatics, Computer Science

  13. Classification Models for Somnolence Detection in EEG Spectra

    Czech Academy of Sciences Publication Activity Database

    Coufal, David; Štefka, David; Klaschka, Jan; Holeňa, Martin; Šebesta, Václav

    Cagliari, Sardinie: TILAPIA Communications, 2009 - (Mola, F.; Conversano, C.; Vinzi, V.; Fisher, N.). s. 80-81 ISBN 978-88-89744-13-0. [EURISBIS 09. European Regional Meeting of International Society for Business and Industrial Statistics. 30.05.2009-03.06.2009, Cagliari] R&D Projects: GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG classification * combining classifiers * data mining Subject RIV: BB - Applied Statistics, Operational Research

  14. Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Athens: WSEAS Press, 2008 - (Cepisca, C.; Kouzaev, G.; Mastorakis, N.), s. 338-343. (Recent Advances in Computer Engineering). ISBN 978-960-474-002-4. [ECC'08. European Computing Conference /2./. Malta (MT), 11.09.2008-13.09.2008] R&D Projects: GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : microsleep detection * EEG spectrograms * data mining techniques * classification trees Subject RIV: IN - Informatics, Computer Science

  15. Classification of Heterogeneous EEG Data by Combining Random Forests

    Czech Academy of Sciences Publication Activity Database

    Klaschka, Jan

    Tokyo: Japanese Society of Computational Statistics, 2008 - (Mizuta, M.; Nakano, J.). s. 160-160 ISBN 978-4-9904445-0-1. [IASC 2008. 05.12.2008-08.12.2008, Yokohama] R&D Projects: GA MDS 1F84B/042/520; GA MŠk ME 949 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG classification * somnolence * random forests * combining classifiers Subject RIV: FH - Neurology

  16. Switching Fuzzy Classifier for Classification of EEG Spectrograms

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Budapest: Budapest Tech, 2008, s. 143-150. ISBN 978-963-7154-82-9. [CINTI 2008. International Symposium of Hungarian Researchers on Computational Intelligence and Informatics /9./. Budapest (HU), 06.11.2008-08.11.2008] R&D Projects: GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : fuzzy classifier * classification tree * EEG spectrograms Subject RIV: AQ - Safety, Health Protection, Human - Machine

  17. Focal mechanism estimation by classification

    CERN Document Server

    Lasscock, Ben G; Glinsky, Michael E

    2014-01-01

    A classification technique for identifying focal mechanism type and fault plane orientation based on the polarity of P-wave "first motion" data is derived. A support vector machine is used to classify the polarity data in the space of spherical harmonic functions. The classification is non-parametric in the sense that there is no requirement to make a priori assumptions source mechanism. A metric of similarity potentially able to distinguish shear versus tensile dislocation without requiring estimation of the fault plane orientation is a natural consequence of this procedure. Going further, correlation functions between template source mechanism is derived, gives an estimate of fault plane orientation assuming a particular source mechanism.

  18. Facial aging: A clinical classification

    Directory of Open Access Journals (Sweden)

    Shiffman Melvin

    2007-01-01

    Full Text Available The purpose of this classification of facial aging is to have a simple clinical method to determine the severity of the aging process in the face. This allows a quick estimate as to the types of procedures that the patient would need to have the best results. Procedures that are presently used for facial rejuvenation include laser, chemical peels, suture lifts, fillers, modified facelift and full facelift. The physician is already using his best judgment to determine which procedure would be best for any particular patient. This classification may help to refine these decisions.

  19. SHIP CLASSIFICATION FROM MULTISPECTRAL VIDEOS

    Directory of Open Access Journals (Sweden)

    Frederique Robert-Inacio

    2012-05-01

    Full Text Available Surveillance of a seaport can be achieved by different means: radar, sonar, cameras, radio communications and so on. Such a surveillance aims, on the one hand, to manage cargo and tanker traffic, and, on the other hand, to prevent terrorist attacks in sensitive areas. In this paper an application to video-surveillance of a seaport entrance is presented, and more particularly, the different steps enabling to classify mobile shapes. This classification is based on a parameter measuring the similarity degree between the shape under study and a set of reference shapes. The classification result describes the considered mobile in terms of shape and speed.

  20. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia

    2012-11-01

    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  1. Supervised Ensemble Classification of Kepler Variable Stars

    CERN Document Server

    Bass, Gideon

    2016-01-01

    Variable star analysis and classification is an important task in the understanding of stellar features and processes. While historically classifications have been done manually by highly skilled experts, the recent and rapid expansion in the quantity and quality of data has demanded new techniques, most notably automatic classification through supervised machine learning. We present an expansion of existing work on the field by analyzing variable stars in the {\\em Kepler} field using an ensemble approach, combining multiple characterization and classification techniques to produce improved classification rates. Classifications for each of the roughly 150,000 stars observed by {\\em Kepler} are produced separating the stars into one of 14 variable star classes.

  2. The CALMA project

    International Nuclear Information System (INIS)

    The CALMA (ComputerAssisted Library for MAmmography) project was born as a collaboration between radiologists and physicists. Its goal is to collect a set of digital mammographic images and to work out a suitable Computed Assisted Diagnosis tool to be used in screening mammography. The project is an Italian collaboration among the Istituto Nazionale di Fisica Nucleare sections of Bologna, Pisa, Torino, Udine and Trento and the Hospitals of Bari, Bologna, Livorno, Udine and Trento. Some preliminary results obtained in the classification of breast disease are described here

  3. Updated United Nations Framework Classification for reserves and resources of extractive industries

    Science.gov (United States)

    Ahlbrandt, T.S.; Blaise, J.R.; Blystad, P.; Kelter, D.; Gabrielyants, G.; Heiberg, S.; Martinez, A.; Ross, J.G.; Slavov, S.; Subelj, A.; Young, E.D.

    2004-01-01

    The United Nations have studied how the oil and gas resource classification developed jointly by the SPE, the World Petroleum Congress (WPC) and the American Association of Petroleum Geologists (AAPG) could be harmonized with the United Nations Framework Classification (UNFC) for Solid Fuel and Mineral Resources (1). The United Nations has continued to build on this and other works, with support from many relevant international organizations, with the objective of updating the UNFC to apply to the extractive industries. The result is the United Nations Framework Classification for Energy and Mineral Resources (2) that this paper will present. Reserves and resources are categorized with respect to three sets of criteria: ??? Economic and commercial viability ??? Field project status and feasibility ??? The level of geologic knowledge The field project status criteria are readily recognized as the ones highlighted in the SPE/WPC/AAPG classification system of 2000. The geologic criteria absorb the rich traditions that form the primary basis for the Russian classification system, and the ones used to delimit, in part, proved reserves. Economic and commercial criteria facilitate the use of the classification in general, and reflect the commercial considerations used to delimit proved reserves in particular. The classification system will help to develop a common understanding of reserves and resources for all the extractive industries and will assist: ??? International and national resources management to secure supplies; ??? Industries' management of business processes to achieve efficiency in exploration and production; and ??? An appropriate basis for documenting the value of reserves and resources in financial statements.

  4. HEATR project: ATR algorithm parallelization

    Science.gov (United States)

    Deardorf, Catherine E.

    1998-09-01

    High Performance Computing (HPC) Embedded Application for Target Recognition (HEATR) is a project funded by the High Performance Computing Modernization Office through the Common HPC Software Support Initiative (CHSSI). The goal of CHSSI is to produce portable, parallel, multi-purpose, freely distributable, support software to exploit emerging parallel computing technologies and enable application of scalable HPC's for various critical DoD applications. Specifically, the CHSSI goal for HEATR is to provide portable, parallel versions of several existing ATR detection and classification algorithms to the ATR-user community to achieve near real-time capability. The HEATR project will create parallel versions of existing automatic target recognition (ATR) detection and classification algorithms and generate reusable code that will support porting and software development process for ATR HPC software. The HEATR Team has selected detection/classification algorithms from both the model- based and training-based (template-based) arena in order to consider the parallelization requirements for detection/classification algorithms across ATR technology. This would allow the Team to assess the impact that parallelization would have on detection/classification performance across ATR technology. A field demo is included in this project. Finally, any parallel tools produced to support the project will be refined and returned to the ATR user community along with the parallel ATR algorithms. This paper will review: (1) HPCMP structure as it relates to HEATR, (2) Overall structure of the HEATR project, (3) Preliminary results for the first algorithm Alpha Test, (4) CHSSI requirements for HEATR, and (5) Project management issues and lessons learned.

  5. INDUS - a composition-based approach for rapid and accurate taxonomic classification of metagenomic sequences

    OpenAIRE

    Mohammed, Monzoorul Haque; Ghosh, Tarini Shankar; Reddy, Rachamalla Maheedhar; Reddy, Chennareddy Venkata Siva Kumar; Singh, Nitin Kumar; Sharmila S Mande

    2011-01-01

    Background Taxonomic classification of metagenomic sequences is the first step in metagenomic analysis. Existing taxonomic classification approaches are of two types, similarity-based and composition-based. Similarity-based approaches, though accurate and specific, are extremely slow. Since, metagenomic projects generate millions of sequences, adopting similarity-based approaches becomes virtually infeasible for research groups having modest computational resources. In this study, we present ...

  6. Development and test of a classification scheme for human factors in incident reports

    International Nuclear Information System (INIS)

    The Research Center System Safety of the Berlin University of Technology conducted a research project on the analysis of Human Factors (HF) aspects in incident reported by German Nuclear Power Plants. Based on psychological theories and empirical studies a classification scheme was developed which permits the identification of human involvement in incidents. The classification scheme was applied in an epidemiological study to a selection of more than 600 HF - relevant incidents. The results allow insights into HF related problem areas. An additional study proved that the application of the classification scheme produces results which are reliable and independent from raters. (author). 13 refs, 1 fig

  7. The Project Method in Agricultural Education: Then and Now

    Science.gov (United States)

    Roberts, T. Grady; Harlin, Julie F.

    2007-01-01

    The purpose of this philosophical paper was to synthesize theoretical and historical foundations of the project method and compare them to modern best-practices. A review of historical and contemporary literature related to the project method yielded six themes: 1) purpose of projects; 2) project classification; 3) the process; 4) the context; 5)…

  8. Automatic indexing, compiling and classification

    International Nuclear Information System (INIS)

    A review of the principles of automatic indexing, is followed by a comparison and summing-up of work by the authors and by a Soviet staff from the Moscou INFORM-ELECTRO Institute. The mathematical and linguistic problems of the automatic building of thesaurus and automatic classification are examined

  9. Classifications of Linear Controlled Systems

    OpenAIRE

    Li, Jing

    2008-01-01

    This paper is devoted to a study of linear, differential and topological classifications for linear controlled systems governed by ordinary differential equations. The necessary and sufficient conditions for the linear and topological equivalence are given. It is also shown that the differential equivalence is the same as the linear equivalence for the linear controlled systems.

  10. Climatic classification of the Karst

    International Nuclear Information System (INIS)

    Climate is one the main factors in forming or modifying Karsts, or its resulting forms. The determining climatic elements of Karst characteristics are humidity, air circulation and temperature. Many Karstic processes show characteristics corresponding to a given climate sequence. In the present article we discuss the relation between climate and Karst as well as a climate classification based on the structure of the Karsts

  11. Agriculture classification using POLSAR data

    DEFF Research Database (Denmark)

    Skriver, Henning; Dall, Jørgen; Ferro-Famil, Laurent; Le Toan, Thuy; Lumsdon, Parivash; Moshammer, Rolf; Pottier, Eric; Quegan, Shaun

    2005-01-01

    data, and a very important class of algorithms is the knowledge-based approaches. Here, generic characteristics of different cover types are derived by combining physical reasoning with the available empirical evidence. These are then used to define classification rules. Because of their emphasis on...

  12. The classification of minerals deposits

    International Nuclear Information System (INIS)

    In this part of book author present the classification of minerals deposits. Deposit formation take place as a result of complicated and long geology processes in the wide temperature intervals (from 1500 digC to usual) and pressures (from usual and to tens kilobars). Deposits of minerals as other investigation objects require in definite systematization on the base of definite characteristics

  13. Functions in Biological Kind Classification

    Science.gov (United States)

    Lombrozo, Tania; Rehder, Bob

    2012-01-01

    Biological traits that serve functions, such as a zebra's coloration (for camouflage) or a kangaroo's tail (for balance), seem to have a special role in conceptual representations for biological kinds. In five experiments, we investigate whether and why functional features are privileged in biological kind classification. Experiment 1…

  14. Crop Classification by Polarimetric SAR

    DEFF Research Database (Denmark)

    Skriver, Henning; Svendsen, Morten Thougaard; Nielsen, Flemming;

    1999-01-01

    Polarimetric SAR-data of agricultural fields have been acquired by the Danish polarimetric L- and C-band SAR (EMISAR) during a number of missions at the Danish agricultural test site Foulum during 1995. The data are used to study the classification potential of polarimetric SAR data using the...

  15. Aphasia Classification Using Neural Networks

    DEFF Research Database (Denmark)

    Axer, H.; Jantzen, Jan; Berks, G.;

    2000-01-01

    A web-based software model (http://fuzzy.iau.dtu.dk/aphasia.nsf) was developed as an example for classification of aphasia using neural networks. Two multilayer perceptrons were used to classify the type of aphasia (Broca, Wernicke, anomic, global) according to the results in some subtests of the...

  16. Is classification necessary after Google?

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2012-01-01

    Purpose – The purpose of this paper is to examine challenges facing bibliographic classification at both the practical and theoretical levels. At the practical level, libraries are increasingly dispensing with classifying books. At the theoretical level, many researchers, managers, and users beli...

  17. 22 CFR 9.8 - Classification challenges.

    Science.gov (United States)

    2010-04-01

    ... challenges to classification actions shall be in writing to an original classification authority (OCA) with.... The Department (either the OCA or IPS) shall provide an initial response in writing within 60 days....

  18. Efficient segmentation by sparse pixel classification

    DEFF Research Database (Denmark)

    Dam, Erik B; Loog, Marco

    2008-01-01

    Segmentation methods based on pixel classification are powerful but often slow. We introduce two general algorithms, based on sparse classification, for optimizing the computation while still obtaining accurate segmentations. The computational costs of the algorithms are derived, and they are...

  19. The many classification range of flight situations

    Directory of Open Access Journals (Sweden)

    В.П. Харченко

    2008-04-01

    Full Text Available  The multivariate classification principle of flight situation range has been represented. Main parameters of classification flight situation by two parameters (horizontal and vertical deviation from flight planed trajectory has been estimated.

  20. The many classification range of flight situations

    OpenAIRE

    В.П. Харченко; І.В. Остроумов; Зайцев, Ю. В.

    2008-01-01

     The multivariate classification principle of flight situation range has been represented. Main parameters of classification flight situation by two parameters (horizontal and vertical deviation from flight planed trajectory) has been estimated.

  1. Bayesian Classification in Medicine: The Transferability Question *

    OpenAIRE

    Zagoria, Ronald J.; Reggia, James A.; Price, Thomas R.; Banko, Maryann

    1981-01-01

    Using probabilities derived from a geographically distant patient population, we applied Bayesian classification to categorize stroke patients by etiology. Performance was assessed both by error rate and with a new linear accuracy coefficient. This approach to patient classification was found to be surprisingly accurate when compared to classification by two neurologists and to classification by the Bayesian method using “low cost” local and subjective probabilities. We conclude that for some...

  2. PSG-Based Classification of Sleep Phases

    OpenAIRE

    Králík, M.

    2015-01-01

    This work is focused on classification of sleep phases using artificial neural network. The unconventional approach was used for calculation of classification features using polysomnographic data (PSG) of real patients. This approach allows to increase the time resolution of the analysis and, thus, to achieve more accurate results of classification.

  3. Hydropedological insights when considering catchment classification

    NARCIS (Netherlands)

    Bouma, J.; Droogers, P.; Sonneveld, M.P.W.; Ritsema, C.J.; Hunink, J.E.; Immerzeel, W.W.; Kauffman, S.

    2011-01-01

    Soil classification systems are analysed to explore the potential of developing classification systems for catchments. Soil classifications are useful to create systematic order in the overwhelming quantity of different soils in the world and to extrapolate data available for a given soil type to so

  4. The Road Ahead for Library Classification Systems.

    Science.gov (United States)

    Mitchell, Joan S.

    1997-01-01

    Discusses knowledge organization tools in the context of seven challenges facing library classification systems. Highlights include revisions to the Dewey Decimal Classification, the Windows-based CD-ROM version of Dewey, support for machine-assisted classification, multilingual use of Dewey, use of Dewey as a general knowledge organization and…

  5. Audio Classification from Time-Frequency Texture

    OpenAIRE

    Yu, Guoshen; Slotine, Jean-Jacques

    2008-01-01

    Time-frequency representations of audio signals often resemble texture images. This paper derives a simple audio classification algorithm based on treating sound spectrograms as texture images. The algorithm is inspired by an earlier visual classification scheme particularly efficient at classifying textures. While solely based on time-frequency texture features, the algorithm achieves surprisingly good performance in musical instrument classification experiments.

  6. 45 CFR 601.2 - Classification authority.

    Science.gov (United States)

    2010-10-01

    ... 45 Public Welfare 3 2010-10-01 2010-10-01 false Classification authority. 601.2 Section 601.2 Public Welfare Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION CLASSIFICATION AND DECLASSIFICATION OF NATIONAL SECURITY INFORMATION § 601.2 Classification authority. The Foundation does not have original...

  7. 5 CFR 2500.3 - Original classification.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Original classification. 2500.3 Section... SECURITY REGULATION § 2500.3 Original classification. No one in the Office of Administration has been granted authority for original classification of information....

  8. 14 CFR 1203.701 - Classification.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Classification. 1203.701 Section 1203.701... Government Information § 1203.701 Classification. (a) Foreign government information that is classified by a foreign entity shall either retain its original classification designation or be marked with a...

  9. 46 CFR 193.50-5 - Classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Classification. 193.50-5 Section 193.50-5 Shipping COAST... Details § 193.50-5 Classification. (a) Hand portable fire extinguishers and semiportable fire...) Classification Type Size Soda-acid and water, gals. Foam, gals. Carbon dioxide, lbs. Dry chemical, lbs. A II...

  10. 32 CFR 1602.7 - Classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification. 1602.7 Section 1602.7 National Defense Other Regulations Relating to National Defense SELECTIVE SERVICE SYSTEM DEFINITIONS § 1602.7 Classification. Classification is the exercise of the power to determine claims or questions with respect...

  11. 5 CFR 1312.7 - Derivative classification.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Derivative classification. 1312.7 Section 1312.7 Administrative Personnel OFFICE OF MANAGEMENT AND BUDGET OMB DIRECTIVES CLASSIFICATION, DOWNGRADING, DECLASSIFICATION AND SAFEGUARDING OF NATIONAL SECURITY INFORMATION Classification...

  12. 32 CFR 644.426 - Classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 4 2010-07-01 2010-07-01 true Classification. 644.426 Section 644.426 National... HANDBOOK Disposal Disposal of Fee-Owned Real Property and Easement Interests § 644.426 Classification... required by the special acts, classification will be coordinated with the interested Federal agency....

  13. 14 CFR 298.3 - Classification.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 false Classification. 298.3 Section 298.3... REGULATIONS EXEMPTIONS FOR AIR TAXI AND COMMUTER AIR CARRIER OPERATIONS General § 298.3 Classification. (a) There is hereby established a classification of air carriers, designated as “air taxi operators,”...

  14. 46 CFR 76.50-5 - Classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 3 2010-10-01 2010-10-01 false Classification. 76.50-5 Section 76.50-5 Shipping COAST... Classification. (a) Hand portable fire extinguishers and semiportable fire extinguishing systems shall be... extinguishing systems are set forth in table 76.50-5(c). Table 76.50-5(c) Classification Type Size Soda acid...

  15. 7 CFR 51.1904 - Maturity classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Maturity classification. 51.1904 Section 51.1904... STANDARDS) United States Consumer Standards for Fresh Tomatoes Size and Maturity Classification § 51.1904 Maturity classification. Tomatoes which are characteristically red when ripe, but are not overripe or...

  16. 17 CFR 200.506 - Derivative classification.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Derivative classification. 200...; CONDUCT AND ETHICS; AND INFORMATION AND REQUESTS Classification and Declassification of National Security Information and Material § 200.506 Derivative classification. Any document that includes...

  17. 32 CFR 1602.13 - Judgmental Classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Judgmental Classification. 1602.13 Section 1602.13 National Defense Other Regulations Relating to National Defense SELECTIVE SERVICE SYSTEM DEFINITIONS § 1602.13 Judgmental Classification. A classification action relating to a registrant's claim...

  18. 10 CFR 1045.17 - Classification levels.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false Classification levels. 1045.17 Section 1045.17 Energy DEPARTMENT OF ENERGY (GENERAL PROVISIONS) NUCLEAR CLASSIFICATION AND DECLASSIFICATION Identification of Restricted Data and Formerly Restricted Data Information § 1045.17 Classification levels. (a) Restricted...

  19. 15 CFR 4a.3 - Classification levels.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 1 2010-01-01 2010-01-01 false Classification levels. 4a.3 Section 4a.3 Commerce and Foreign Trade Office of the Secretary of Commerce CLASSIFICATION, DECLASSIFICATION, AND PUBLIC AVAILABILITY OF NATIONAL SECURITY INFORMATION § 4a.3 Classification levels. Information...

  20. 7 CFR 51.1402 - Size classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Size classification. 51.1402 Section 51.1402... STANDARDS) United States Standards for Grades of Pecans in the Shell 1 Size Classification § 51.1402 Size classification. Size of pecans may be specified in connection with the grade in accordance with one of...

  1. 12 CFR 403.4 - Derivative classification.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Derivative classification. 403.4 Section 403.4 Banks and Banking EXPORT-IMPORT BANK OF THE UNITED STATES CLASSIFICATION, DECLASSIFICATION, AND SAFEGUARDING OF NATIONAL SECURITY INFORMATION § 403.4 Derivative classification. (a) Use of...

  2. 46 CFR 132.210 - Classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Classification. 132.210 Section 132.210 Shipping COAST... Portable and Semiportable Fire Extinguishers § 132.210 Classification. (a) Each portable fire extinguisher... Classification Type Size Halon 1211, 1301, and 1211-1301 mixtures kgs. (lbs.) Foam, liters (gallons)...

  3. 6 CFR 7.26 - Derivative classification.

    Science.gov (United States)

    2010-01-01

    ... amended, 32 CFR 2001.22, and internal DHS guidance provided by the Chief Security Officer. ... 6 Domestic Security 1 2010-01-01 2010-01-01 false Derivative classification. 7.26 Section 7.26... INFORMATION Classified Information § 7.26 Derivative classification. (a) Derivative classification is...

  4. 12 CFR 560.160 - Asset classification.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Asset classification. 560.160 Section 560.160... Lending and Investment Provisions Applicable to all Savings Associations § 560.160 Asset classification... consistent with, or reconcilable to, the asset classification system used by OTS in its Thrift...

  5. 32 CFR 2001.22 - Derivative classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Derivative classification. 2001.22 Section 2001... Identification and Markings § 2001.22 Derivative classification. (a) General. Information classified derivatively on the basis of source documents or classification guides shall bear all markings prescribed...

  6. 76 FR 47614 - Mail Classification Change

    Science.gov (United States)

    2011-08-05

    ... Mail Classification Change AGENCY: Postal Regulatory Commission. ACTION: Notice. SUMMARY: The Commission is noticing a recently-filed Postal Service request for a change in classification to the ``Reply... Service filed a notice of classification change pursuant to 39 CFR 3020.90 and 3020.91 concerning...

  7. 17 CFR 200.505 - Original classification.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Original classification. 200...; CONDUCT AND ETHICS; AND INFORMATION AND REQUESTS Classification and Declassification of National Security Information and Material § 200.505 Original classification. (a) No Commission Member or employee has...

  8. 46 CFR Sec. 18 - Group classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 8 2010-10-01 2010-10-01 false Group classification. Sec. 18 Section 18 Shipping... Sec. 18 Group classification. In the preparation of specifications, Job Orders, Supplemental Job... inserted thereon: Number Classification 41 Maintenance Repairs (deck, engine and stewards...

  9. 7 CFR 51.1903 - Size classification.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Size classification. 51.1903 Section 51.1903... STANDARDS) United States Consumer Standards for Fresh Tomatoes Size and Maturity Classification § 51.1903 Size classification. The following terms may be used for describing the size of the tomatoes in any...

  10. 32 CFR 2001.21 - Original classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Original classification. 2001.21 Section 2001.21... Markings § 2001.21 Original classification. (a) Primary markings. At the time of original classification, the following shall be indicated in a manner that is immediately apparent: (1)...

  11. 46 CFR 503.54 - Original classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 9 2010-10-01 2010-10-01 false Original classification. 503.54 Section 503.54 Shipping... Program § 503.54 Original classification. (a) No Commission Member or employee has the authority to... require classification, or receives any foreign government information as defined in section 1.1(d)...

  12. 10 CFR 1045.37 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false Classification guides. 1045.37 Section 1045.37 Energy DEPARTMENT OF ENERGY (GENERAL PROVISIONS) NUCLEAR CLASSIFICATION AND DECLASSIFICATION Generation and Review of Documents Containing Restricted Data and Formerly Restricted Data § 1045.37 Classification...

  13. 46 CFR 95.50-5 - Classification.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Classification. 95.50-5 Section 95.50-5 Shipping COAST... Details § 95.50-5 Classification. (a) Hand portable fire extinguishers and semiportable fire extinguishing... extinguishing systems are set forth in Table 95.50-5(c). Table 95.50-5(c) Classification Type Size Soda-acid...

  14. 32 CFR 2400.34 - Classification.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification. 2400.34 Section 2400.34 National... Government Information § 2400.34 Classification. (a) Foreign government information classified by a foreign government or international organization of governments shall retain its original classification...

  15. Teaching Classification and Seriation to Preschoolers.

    Science.gov (United States)

    Ciancio, Dennis; Sadovsky, Adrienne; Malabonga, Valerie; Trueblood, Linda; Pasnak, Robert

    1999-01-01

    Studied use of games to teach simple classification and seriation constructs to 3-1/2-year-old children. Found substantial and maintained improvement on classification and seriation. Found that children generalized their new understanding of classification and seriation to different problems, and found that evidence for a more general cognitive…

  16. Automatic parquet block sorting using real-time spectral classification

    Science.gov (United States)

    Astrom, Anders; Astrand, Erik; Johansson, Magnus

    1999-03-01

    This paper presents a real-time spectral classification system based on the PGP spectrograph and a smart image sensor. The PGP is a spectrograph which extracts the spectral information from a scene and projects the information on an image sensor, which is a method often referred to as Imaging Spectroscopy. The classification is based on linear models and categorizes a number of pixels along a line. Previous systems adopting this method have used standard sensors, which often resulted in poor performance. The new system, however, is based on a patented near-sensor classification method, which exploits analogue features on the smart image sensor. The method reduces the enormous amount of data to be processed at an early stage, thus making true real-time spectral classification possible. The system has been evaluated on hardwood parquet boards showing very good results. The color defects considered in the experiments were blue stain, white sapwood, yellow decay and red decay. In addition to these four defect classes, a reference class was used to indicate correct surface color. The system calculates a statistical measure for each parquet block, giving the pixel defect percentage. The patented method makes it possible to run at very high speeds with a high spectral discrimination ability. Using a powerful illuminator, the system can run with a line frequency exceeding 2000 line/s. This opens up the possibility to maintain high production speed and still measure with good resolution.

  17. EDXRS Compositional Classification of Archaeological Pottery

    International Nuclear Information System (INIS)

    The work carried out within this project was focused on the implementation of reliable EDXRF analytical procedures allowing the quantitative analysis and compositional classification of archaeological pottery, followed by its application to different cases of study. The development in CEADEN of a very compact polarized secondary target excitation set-up allowed maximizing x-ray production and detection. The use of proper materials for shielding served to eliminate the spectral interferences arising due to the excitation of construction materials. Together with this improvement in x-ray production, the installation of a digital signal processor (DSP) based spectrometer allowed to improve the instrumental sensitivity by a factor of 10, thus achieving better counting statistics, a significant reduction in measuring time and lowering the uncertainty of the determination. During the last years of the project, the work was aimed into the analysis of both Cuban pre-Columbian pottery and colonial exponents, in an effort to reveal compositional groups and the criteria for their differentiation. In addition a compositional analysis of Taino pottery from the Eastern region of Cuba was carried out. (author)

  18. 24 CFR 58.32 - Project aggregation.

    Science.gov (United States)

    2010-04-01

    ... other activities and actions. (See 40 CFR 1508.25(a)). (2) Consider reasonable alternative courses of... 24 Housing and Urban Development 1 2010-04-01 2010-04-01 false Project aggregation. 58.32 Section... Environmental Review Process: Documentation, Range of Activities, Project Aggregation and Classification §...

  19. Holonomy and projective symmetry in spacetimes

    Energy Technology Data Exchange (ETDEWEB)

    Hall, G S; Lonie, D P [Department of Mathematical Sciences, University of Aberdeen, Meston Building, Aberdeen AB24 3UE (United Kingdom)

    2004-10-07

    It is shown using a spacetime curvature classification and decomposition that for certain holonomy types of a spacetime, proper projective vector fields cannot exist. Existence is confirmed, by example, for the remaining holonomy types. In all except the most general holonomy type, a local uniqueness theorem for proper projective symmetry is established.

  20. Holonomy and projective symmetry in spacetimes

    International Nuclear Information System (INIS)

    It is shown using a spacetime curvature classification and decomposition that for certain holonomy types of a spacetime, proper projective vector fields cannot exist. Existence is confirmed, by example, for the remaining holonomy types. In all except the most general holonomy type, a local uniqueness theorem for proper projective symmetry is established

  1. An evolutionary classification of genomic function.

    Science.gov (United States)

    Graur, Dan; Zheng, Yichen; Azevedo, Ricardo B R

    2015-03-01

    The pronouncements of the ENCODE Project Consortium regarding "junk DNA" exposed the need for an evolutionary classification of genomic elements according to their selected-effect function. In the classification scheme presented here, we divide the genome into "functional DNA," that is, DNA sequences that have a selected-effect function, and "rubbish DNA," that is, sequences that do not. Functional DNA is further subdivided into "literal DNA" and "indifferent DNA." In literal DNA, the order of nucleotides is under selection; in indifferent DNA, only the presence or absence of the sequence is under selection. Rubbish DNA is further subdivided into "junk DNA" and "garbage DNA." Junk DNA neither contributes to nor detracts from the fitness of the organism and, hence, evolves under selective neutrality. Garbage DNA, on the other hand, decreases the fitness of its carriers. Garbage DNA exists in the genome only because natural selection is neither omnipotent nor instantaneous. Each of these four functional categories can be 1) transcribed and translated, 2) transcribed but not translated, or 3) not transcribed. The affiliation of a DNA segment to a particular functional category may change during evolution: Functional DNA may become junk DNA, junk DNA may become garbage DNA, rubbish DNA may become functional DNA, and so on; however, determining the functionality or nonfunctionality of a genomic sequence must be based on its present status rather than on its potential to change (or not to change) in the future. Changes in functional affiliation are divided into pseudogenes, Lazarus DNA, zombie DNA, and Jekyll-to-Hyde DNA. PMID:25635041

  2. Supervised Classification Methods for Seismic Phase Identification

    Science.gov (United States)

    Schneider, Jeff; Given, Jeff; Le Bras, Ronan; Fisseha, Misrak

    2010-05-01

    The Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) is tasked with monitoring compliance with the CTBT. The organization is installing the International Monitoring System (IMS), a global network of seismic, hydroacoustic, infrasound, and radionuclide sensor stations. The International Data Centre (IDC) receives the data from seismic stations either in real time or on request. These data are first processed on a station per station basis. This initial step yields discrete detections which are then assembled on a network basis (with the addition of hydroacoustic and infrasound data) to produce automatic and analyst reviewed bulletins containing seismic, hydroacoustic, and infrasound detections. The initial station processing step includes the identification of seismic and acoustic phases which are given a label. Subsequent network processing relies on this preliminary labeling, and as a consequence, the accuracy and reliability of automatic and reviewed bulletins also depend on this initial step. A very large ground truth database containing massive amounts of detections with analyst-reviewed labels is available to improve on the current operational system using machine learning methods. An initial study using a limited amount of data was conducted during the ISS09 project of the CTBTO. Several classification methods were tested: decision tree with bagging; logistic regression; neural networks trained with back-propagation; Bayesian networks as generative class models; naive Bayse classification; support vector machines. The initial assessment was that the phase identification process could be improved by at least 13% over the current operational system and that the method obtaining the best results was the decision tree with bagging. We present the results of a study using a much larger learning dataset and preliminary implementation results.

  3. Light-water reactors reference system classification for the European reliability data system (ERDS)

    International Nuclear Information System (INIS)

    The reference system classification represents a basic stage in the organization of the European reliability data system (ERDS) for light-water reactors, a project actually in development at the Joint Research Centre, Ispra. This project is concerned with operational reliability data collection from the various ''national'' data banks, and centralization in a European reliability data system, so improving the significance of the resulting reliability evaluations. In the framework of the ERDS project, the reference system classification provides a LWR functional break-down and represents a plant-unique identification in the process of homogenization of event-data coming from the various ''national'' organizations. The report, after a brief description of the main objectives of the ERDS project, reviews the criteria followed in the elaboration of the reference system classification; then the detailed classification is presented. The nuclear power station is subdivided in about 180 systems. To each system a sheet is associated, containing: a comprehensive description of system-functions and boundaries; a descritpion of the plant operating mode, linked to the various system functions; a list of the main interface system; and finally, a list of the main components, including type and safety classification

  4. Introduction to Relational Networks for Classification

    CERN Document Server

    Marivate, Vukosi

    2008-01-01

    The use of computational intelligence techniques for classification has been used in numerous applications. This paper compares the use of a Multi Layer Perceptron Neural Network and a new Relational Network on classifying the HIV status of women at ante-natal clinics. The paper discusses the architecture of the relational network and its merits compared to a neural network and most other computational intelligence classifiers. Results gathered from the study indicate comparable classification accuracies as well as revealed relationships between data features in the classification data. Much higher classification accuracies are recommended for future research in the area of HIV classification as well as missing data estimation.

  5. CCM: A Text Classification Method by Clustering

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock;

    2011-01-01

    In this paper, a new Cluster based Classification Model (CCM) for suspicious email detection and other text classification tasks, is presented. Comparative experiments of the proposed model against traditional classification models and the boosting algorithm are also discussed. Experimental results...... show that the CCM outperforms traditional classification models as well as the boosting algorithm for the task of suspicious email detection on terrorism domain email dataset and topic categorization on the Reuters-21578 and 20 Newsgroups datasets. The overall finding is that applying a cluster based...... approach to text classification tasks simplifies the model and at the same time increases the accuracy....

  6. Projects management in organization on the selected example

    OpenAIRE

    A. Kania; M. Spilka; S. Griner

    2013-01-01

    Purpose: In this paper stages of project management taking into consideration many useful tools and methods were presented. The quality management in the project, the risk estimation, costs of the project realization and many others were discussed. The analysis of project management of an element using in an automotive industry was carried out.Design/methodology/approach: In this article classification of the projects was presented. The stages of project management and relations among them we...

  7. Odor Classification using Agent Technology

    Directory of Open Access Journals (Sweden)

    Sigeru OMATU

    2014-03-01

    Full Text Available In order to measure and classify odors, Quartz Crystal Microbalance (QCM can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents. This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed.

  8. Handling uncertainties in SVM classification

    CERN Document Server

    Niaf, Emilie; Lartizien, Carole; Canu, Stéphane

    2011-01-01

    This paper addresses the pattern classification problem arising when available target data include some uncertainty information. Target data considered here is either qualitative (a class label) or quantitative (an estimation of the posterior probability). Our main contribution is a SVM inspired formulation of this problem allowing to take into account class label through a hinge loss as well as probability estimates using epsilon-insensitive cost function together with a minimum norm (maximum margin) objective. This formulation shows a dual form leading to a quadratic problem and allows the use of a representer theorem and associated kernel. The solution provided can be used for both decision and posterior probability estimation. Based on empirical evidence our method outperforms regular SVM in terms of probability predictions and classification performances.

  9. A clinical classification of hypertension

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ Hypertension is a common cardiovascular problem worldwide. As with any other disease it is important to assess the severity of the disease. However the present classification of hypertension by the Joint National Committee in its seventh report (JNC 7) with numerical values staging the severity of hypertension is theoretically correct but difficult to apply in practice (Table 1).1 Admittedly this is a step in the right direction with lesser number of stages compared to the sixth report.2 The World Health Organization- International Society of Hypertension (WHO-ISH)-1999 3 and the European Society of Hypertension - European Society of Cardiology (ESH-ESC)4 guidelines follow similar numerical classifications (Table 2). All these papers are referred to as 'guidelines' in this article.

  10. Meta Classification for Variable Stars

    CERN Document Server

    Pichara, Karim; León, Daniel

    2016-01-01

    The need for the development of automatic tools to explore astronomical databases has been recognized since the inception of CCDs and modern computers. Astronomers already have developed solutions to tackle several science problems, such as automatic classification of stellar objects, outlier detection, and globular clusters identification, among others. New science problems emerge and it is critical to be able to re-use the models learned before, without rebuilding everything from the beginning when the science problem changes. In this paper, we propose a new meta-model that automatically integrates existing classification models of variable stars. The proposed meta-model incorporates existing models that are trained in a different context, answering different questions and using different representations of data. Conventional mixture of experts algorithms in machine learning literature can not be used since each expert (model) uses different inputs. We also consider computational complexity of the model by ...

  11. Object Classification via Planar Abstraction

    Science.gov (United States)

    Oesau, Sven; Lafarge, Florent; Alliez, Pierre

    2016-06-01

    We present a supervised machine learning approach for classification of objects from sampled point data. The main idea consists in first abstracting the input object into planar parts at several scales, then discriminate between the different classes of objects solely through features derived from these planar shapes. Abstracting into planar shapes provides a means to both reduce the computational complexity and improve robustness to defects inherent to the acquisition process. Measuring statistical properties and relationships between planar shapes offers invariance to scale and orientation. A random forest is then used for solving the multiclass classification problem. We demonstrate the potential of our approach on a set of indoor objects from the Princeton shape benchmark and on objects acquired from indoor scenes and compare the performance of our method with other point-based shape descriptors.

  12. Classification differences and maternal mortality

    DEFF Research Database (Denmark)

    Salanave, B; Bouvier-Colle, M H; Varnoux, N;

    1999-01-01

    change was substantial in three countries (P < 0.05) where statistical offices appeared to attribute fewer deaths to obstetric causes. In the other countries, no differences were detected. According to official published data, the aggregated maternal mortality rate for participating countries was 7.7 per...... 100,000 live births, but it increased to 8.7 after classification by the European panel (P < 0.001). CONCLUSION: The classification of pregnancy-associated deaths differs between European countries. These differences in coding contribute to variations in the reported numbers of maternal deaths and...... sufficient data to complete reclassification of 359 or 82% of the 437 cases for which data were collected. RESULTS: Compared with the statistical offices, the European panel attributed more deaths to obstetric causes. The overall number of deaths attributed to obstetric causes increased from 229 to 260. This...

  13. Classification of symmetric toroidal orbifolds

    Energy Technology Data Exchange (ETDEWEB)

    Fischer, Maximilian; Ratz, Michael; Torrado, Jesus [Technische Univ. Muenchen, Garching (Germany). Physik-Department; Vaudrevange, Patrick K.S. [Deutsches Elektronen-Synchrotron (DESY), Hamburg (Germany)

    2012-09-15

    We provide a complete classification of six-dimensional symmetric toroidal orbifolds which yield N{>=}1 supersymmetry in 4D for the heterotic string. Our strategy is based on a classification of crystallographic space groups in six dimensions. We find in total 520 inequivalent toroidal orbifolds, 162 of them with Abelian point groups such as Z{sub 3}, Z{sub 4}, Z{sub 6}-I etc. and 358 with non-Abelian point groups such as S{sub 3}, D{sub 4}, A{sub 4} etc. We also briefly explore the properties of some orbifolds with Abelian point groups and N=1, i.e. specify the Hodge numbers and comment on the possible mechanisms (local or non-local) of gauge symmetry breaking.

  14. Modulation classification based on spectrogram

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The aim of modulation classification (MC) is to identify the modulation type of a communication signal. It plays an important role in many cooperative or noncooperative communication applications. Three spectrogram-based modulation classification methods are proposed. Their reccgnition scope and performance are investigated or evaluated by theoretical analysis and extensive simulation studies. The method taking moment-like features is robust to frequency offset while the other two, which make use of principal component analysis (PCA) with different transformation inputs,can achieve satisfactory accuracy even at low SNR (as low as 2 dB). Due to the properties of spectrogram, the statistical pattern recognition techniques, and the image preprocessing steps, all of our methods are insensitive to unknown phase and frequency offsets, timing errors, and the arriving sequence of symbols.

  15. Computers vs. Humans in Galaxy Classification

    Science.gov (United States)

    Kohler, Susanna

    2016-04-01

    In this age of large astronomical surveys, one major scientific bottleneck is the analysis of enormous data sets. Traditionally, this task requires human input but could computers eventually take over? A pair of scientists explore this question by testing whether computers can classify galaxies as well as humans.Examples of disagreement: galaxies that Galaxy-Zoo humans classified as spirals with 95% agreement, but the computer algorithm classified as ellipticals with 70% certainty. Most are cases where the computer got it wrong but not all of them. [Adapted from Kuminski et al. 2016]Limits of Citizen ScienceGalaxy Zoo is an internet-based citizen science project that uses non-astronomer volunteers to classify galaxy images. This is an innovative way to provide more manpower, but its still only practical for limited catalog sizes. How do we handle the data from upcoming surveys like the Large Synoptic Survey Telescope (LSST), which will produce billions of galaxy images when it comes online?In a recent study by Evan Kuminski and Lior Shamir, two computer scientists at Lawrence Technological University in Michigan, a machine learning algorithm known as Wndchrm was used to classify a dataset of Sloan Digital Sky Survey (SDSS) galaxies into ellipticals and spirals. The authors goal is to determine whether their algorithm can classify galaxies as accurately as the human volunteers for Galaxy Zoo.Automatic ClassificationAfter training their classifier on a small set of spiral and elliptical galaxies, Kuminski and Shamir set it loose on a catalog of ~3 million SDSS galaxies. The classifier first computes a set of 2,885 numerical descriptors (like textures, edges, and shapes) for each galaxy image, and then uses these descriptors to categorize the galaxy as spiral or elliptical.Rate of agreement of the computer classification with human classification (for the Galaxy Zoo superclean subset) for different ranges of computed classification certainties. For certainties above

  16. A comprehensive catalogue and classification of human thermal climate indices

    Science.gov (United States)

    de Freitas, C. R.; Grigorieva, E. A.

    2015-01-01

    The very large number of human thermal climate indices that have been proposed over the past 100 years or so is a manifestation of the perceived importance within the scientific community of the thermal environment and the desire to quantify it. Schemes used differ in approach according to the number of variables taken into account, the rationale employed, the relative sophistication of the underlying body-atmosphere heat exchange theory and the particular design for application. They also vary considerably in type and quality, as well as in several other aspects. Reviews appear in the literature, but they cover a limited number of indices. A project that produces a comprehensive documentation, classification and overall evaluation of the full range of existing human thermal climate indices has never been attempted. This paper deals with documentation and classification. A subsequent report will focus on evaluation. Here a comprehensive register of 162 thermal indices is assembled and a sorting scheme devised that groups them according to eight primary classification classes. It is the first stage in a project to organise and evaluate the full range of all human thermal climate indices. The work, when completed, will make it easier for users to reflect on the merits of all available thermal indices. It will be simpler to locate and compare indices and decide which is most appropriate for a particular application or investigation.

  17. Exotica and discreteness in the classification of string spectra

    Science.gov (United States)

    Sonmez, Hasan

    2015-07-01

    I discuss the existence of discrete properties in the landscape of free fermionic heterotic-string vacua that were discovered via their classification by SO(10) GUT models and its subgroups such as the Pati-Salam, Flipped SU(5) and SU(4) × SU(2) × U(1) models. The classification is carried out by fixing a set of basis vectors and varying the GGSO projection coefficients entering the one-loop partition function. The analysis of the models is facilitated by deriving algebraic expressions for the GSO projections that enable a computerised analysis of the entire string spectrum and the scanning of large spaces of vacua. The analysis reveals discrete symmetries like the spinor-vector duality observed at the SO(10) level and the existence of exophobic Pati-Salam vacua. Contrary to the Pati-Salam case the classification shows that there are no exophobic Flipped SU(5) vacua with an odd number of generations. It is observed that the SU(4) × SU(2) × U(1) models are substantially more constrained.

  18. Exotica and discreteness in the classification of string spectra

    CERN Document Server

    Sonmez, Hasan

    2015-01-01

    I discuss the existence of discrete properties in the landscape of free fermionic heterotic-string vacua that were discovered via their classification by SO(10) GUT models and its subgroups such as the Pati-Salam, Flipped SU(5) and SU(4) x SU(2) x U(1) models. The classification is carried out by fixing a set of basis vectors and varying the GGSO projection coefficients entering the one-loop partition function. The analysis of the models is facilitated by deriving algebraic expressions for the GSO projections that enable a computerised analysis of the entire string spectrum and the scanning of large spaces of vacua. The analysis reveals discrete symmetries like the spinor-vector duality observed at the SO(10) level and the existence of exophobic Pati-Salam vacua. Contrary to the Pati-Salam case the classification shows that there are no exophobic Flipped SU(5) vacua with an odd number of generations. It is observed that the SU(4) x SU(2) x U(1) models are substantially more constrained.

  19. Classification of flipped SU(5 heterotic-string vacua

    Directory of Open Access Journals (Sweden)

    Alon E. Faraggi

    2014-09-01

    Full Text Available We extend the classification of free fermionic heterotic-string vacua to models in which the SO(10 GUT symmetry is reduced at the string level to the flipped SU(5 subgroup. In our classification method the set of boundary condition basis vectors is fixed and the enumeration of string vacua is obtained in terms of the Generalised GSO (GGSO projection coefficients entering the one-loop partition function. We derive algebraic expressions for the GGSO projections for all the physical states appearing in the sectors generated by the set of basis vectors. This enables the programming of the entire spectrum analysis in a computer code. For that purpose we developed two independent codes, based on FORTRAN95 and JAVA, and all results presented are confirmed by the two independent routines. We perform a statistical sampling in the space of 244∼1013 flipped SU(5 vacua, and scan up to 1012 GGSO configurations. Contrary to the corresponding Pati–Salam classification results, we do not find exophobic flipped SU(5 vacua with an odd number of generations. We study the structure of exotic states appearing in the three generation models, that additionally contain a viable Higgs spectrum, and demonstrate the existence of models in which all the exotic states are confined by a hidden sector non-Abelian gauge symmetry, as well as models that may admit the racetrack mechanism.

  20. Classification of flipped SU(5) heterotic-string vacua

    Energy Technology Data Exchange (ETDEWEB)

    Faraggi, Alon E., E-mail: alon.faraggi@liv.ac.uk [Department of Mathematical Sciences, University of Liverpool, Liverpool L69 7ZL (United Kingdom); Rizos, John, E-mail: irizos@uoi.gr [Department of Physics, University of Ioannina, GR45110 Ioannina (Greece); Sonmez, Hasan, E-mail: Hasan.Sonmez@liv.ac.uk [Department of Mathematical Sciences, University of Liverpool, Liverpool L69 7ZL (United Kingdom)

    2014-09-15

    We extend the classification of free fermionic heterotic-string vacua to models in which the SO(10) GUT symmetry is reduced at the string level to the flipped SU(5) subgroup. In our classification method the set of boundary condition basis vectors is fixed and the enumeration of string vacua is obtained in terms of the Generalised GSO (GGSO) projection coefficients entering the one-loop partition function. We derive algebraic expressions for the GGSO projections for all the physical states appearing in the sectors generated by the set of basis vectors. This enables the programming of the entire spectrum analysis in a computer code. For that purpose we developed two independent codes, based on FORTRAN95 and JAVA, and all results presented are confirmed by the two independent routines. We perform a statistical sampling in the space of 2{sup 44}∼10{sup 13} flipped SU(5) vacua, and scan up to 10{sup 12} GGSO configurations. Contrary to the corresponding Pati–Salam classification results, we do not find exophobic flipped SU(5) vacua with an odd number of generations. We study the structure of exotic states appearing in the three generation models, that additionally contain a viable Higgs spectrum, and demonstrate the existence of models in which all the exotic states are confined by a hidden sector non-Abelian gauge symmetry, as well as models that may admit the racetrack mechanism.

  1. Classification of flipped SU(5) heterotic-string vacua

    International Nuclear Information System (INIS)

    We extend the classification of free fermionic heterotic-string vacua to models in which the SO(10) GUT symmetry is reduced at the string level to the flipped SU(5) subgroup. In our classification method the set of boundary condition basis vectors is fixed and the enumeration of string vacua is obtained in terms of the Generalised GSO (GGSO) projection coefficients entering the one-loop partition function. We derive algebraic expressions for the GGSO projections for all the physical states appearing in the sectors generated by the set of basis vectors. This enables the programming of the entire spectrum analysis in a computer code. For that purpose we developed two independent codes, based on FORTRAN95 and JAVA, and all results presented are confirmed by the two independent routines. We perform a statistical sampling in the space of 244∼1013 flipped SU(5) vacua, and scan up to 1012 GGSO configurations. Contrary to the corresponding Pati–Salam classification results, we do not find exophobic flipped SU(5) vacua with an odd number of generations. We study the structure of exotic states appearing in the three generation models, that additionally contain a viable Higgs spectrum, and demonstrate the existence of models in which all the exotic states are confined by a hidden sector non-Abelian gauge symmetry, as well as models that may admit the racetrack mechanism

  2. Functionality Classification Filter for Websites

    OpenAIRE

    Järvstråt, Lotta

    2013-01-01

    The objective of this thesis is to evaluate different models and methods for website classification. The websites are classified based on their functionality, in this case specifically whether they are forums, news sites or blogs. The analysis aims at solving a search engine problem, which means that it is interesting to know from which categories in a information search the results come. The data consists of two datasets, extracted from the web in January and April 2013. Together these data ...

  3. Is classification necessary after Google?

    OpenAIRE

    Hjørland, Birger

    2012-01-01

    Purpose – The purpose of this paper is to examine challenges facing bibliographic classification at both the practical and theoretical levels. At the practical level, libraries are increasingly dispensing with classifying books. At the theoretical level, many researchers, managers, and users believe that the activity of “classification” is not worth the effort, as search engines can be improved without the heavy cost of providing metadata. Design/methodology/approach – The basic issue in clas...

  4. Structural classification of phosphate glasses

    International Nuclear Information System (INIS)

    A structural classification of phosphate glasses is proposed. Following types of phosphate glasses are distinguished: discontinuous polymeric structure glasses (phosphate and mixed chains and rings containing glasses), continuous spatial network structure glasses (ultraphosphate and mixed network glasses) and non-polymeric structure glasses (oxide-halide and halide glasses, stuffed with ortho- and pyrophosphate-like groups). Type of the structure determines in a considerable degree the relation between glass composition and properties. (author). 25 refs

  5. Automated Periodontal Diseases Classification System

    OpenAIRE

    Aliaa A. A. Youssif; Abeer Saad Gawish,; Mohammed Elsaid Moussa

    2012-01-01

    This paper presents an efficient and innovative system for automated classification of periodontal diseases, The strength of our technique lies in the fact that it incorporates knowledge from the patients' clinical data, along with the features automatically extracted from the Haematoxylin and Eosin (H&E) stained microscopic images. Our system uses image processing techniques based on color deconvolution, morphological operations, and watershed transforms for epithelium & connective tissue se...

  6. A classification of prescription errors.

    OpenAIRE

    Neville, R G; Robertson, F; Livingstone, S.; Crombie, I K

    1989-01-01

    Three independent methods of study of prescription errors led to the development of a classification of errors based on the potential effects and inconvenience to patients, pharmacists and doctors. Four types of error are described: type A (potentially serious to patient); type B (major nuisance - pharmacist/doctor contact required); type C (minor nuisance - pharmacist must use professional judgement); and type D (trivial). The types of frequency of errors are detailed for a group of eight pr...

  7. Web Content Classification: A Survey

    OpenAIRE

    Kaur, Prabhjot

    2014-01-01

    As the information contained within the web is increasing day by day, organizing this information could be a necessary requirement.The data mining process is to extract information from a data set and transform it into an understandable structure for further use. Classification of web page content is essential to many tasks in web information retrieval such as maintaining web directories and focused crawling.The uncontrolled type of nature of web content presents additional challenges to web ...

  8. Neuronal Classification of Atria Fibrillation

    OpenAIRE

    Mohamed BEN MESSAOUD

    2008-01-01

    Motivation. In medical field, particularly the cardiology, the diagnosis systems constitute the essential domain of research. In some applications, the traditional methods of classification present some limitations. The neuronal technique is considered as one of the promising algorithms to resolve such problem.Method. In this paper, two approaches of the Artificial Neuronal Network (ANN) technique are investigated to classify the heart beats which are Multi Layer Perception (MLP) and Radial B...

  9. Classification of Simple Current Invariants

    CERN Document Server

    Gato-Rivera, Beatriz

    1991-01-01

    We summarize recent work on the classification of modular invariant partition functions that can be obtained with simple currents in theories with a center (Z_p)^k with p prime. New empirical results for other centers are also presented. Our observation that the total number of invariants is monodromy-independent for (Z_p)^k appears to be true in general as well. (Talk presented in the parallel session on string theory of the Lepton-Photon/EPS Conference, Geneva, 1991.)

  10. Optimal classification of HCI spectra

    OpenAIRE

    Gaigalas, G.; Karpuskiene, R.; Rudzikas, Z.

    2004-01-01

    Energy levels of highly charged ions as a rule cannot be classified using LS coupling due to rapid increase of relativistic effects. It is suggested, for optimal classification of energy spectra, to calculate them in LS coupling and to transform the weights of the wave functions, obtained after diagonalization of the energy matrix, to the other coupling schemes. F-like ions are considered as an example.

  11. Collective Classification in Network Data

    OpenAIRE

    Sen, Prithviraj; Namata, Galileo; Bilgic, Mustafa; Getoor, Lise; University of Maryland; Galligher, Brian; Eliassi-Rad, Tina

    2008-01-01

    Many real-world applications produce networked data such as the world-wide web (hypertext documents connected via hyperlinks), social networks (for example, people connected by friendship links), communication networks (computers connected via communication links) and biological networks (for example, protein interaction networks). A recent focus in machine learning research has been to extend traditional machine learning classification techniques to classify nodes in such networks. In this a...

  12. Cerebral palsy: classification and etiology

    OpenAIRE

    Bialik, Gad M.; Givon, Uri

    2004-01-01

    Cerebral palsy (CP), a common condition of abnormalities in the brain, arises early in life. Since the term was first introduced in 1843, many authors have tried to define and classify CP. The most recent definition was released by the American Academy for Cerebral Palsy and Developmental Medicine (AACPDM) in 2005. This article summarizes the latest and familiar classifications of, and etiologies associated with CP.

  13. Chemical Classification of Space Debris

    Institute of Scientific and Technical Information of China (English)

    LI Chunlai; ZUO Wei; LIU Jianjun; OUYANG Ziyuan

    2004-01-01

    Space debris, here referring to all non-operating orbital objects, has steadily increased in number so that it has become a potential barrier to the exploration of space. The ever-increasing number of space debris pieces in space has created an increasingly threatening hazard to all on-the-orbit spacecraft, and all future space exploration activities have to be designed and operated with respect to the increasing threat posed by space debris. Generally, space debris is classified as large, medium and small debris pieces based on their sizes. The large debris piece is easily catalogued, but medium to small debris pieces are very difficult to track and also quite different in damage mechanisms from the large ones. In this paper, a scheme of chemical classification of space debris is developed. In our scheme, the first-order classification is employed to divide space debris into two groups: natural micrometeoroids and artificial space debris.The second-order classification is based on their chemical patterns and compositions. The natural micrometeoroids are further divided into three types, namely maric, metal and phyllosilicate micrometeorites, while the artificial space debris is divided into seven types, which are polymers, non-metal debris, metals and their alloys, oxides, sulphides and their analogs, halides and carbides. Of the latter seven types, some can also be further divided into several sub-types. Chemical classification of space debris is very useful for the study of the chemical damage mechanism of small debris pieces, and also is of great significance in constraining the origin and source of space debris and assessing their impact on spacecraft and human space activities.

  14. Classifications of Patterned Hair Loss: A Review.

    Science.gov (United States)

    Gupta, Mrinal; Mysore, Venkataram

    2016-01-01

    Patterned hair loss is the most common cause of hair loss seen in both the sexes after puberty. Numerous classification systems have been proposed by various researchers for grading purposes. These systems vary from the simpler systems based on recession of the hairline to the more advanced multifactorial systems based on the morphological and dynamic parameters that affect the scalp and the hair itself. Most of these preexisting systems have certain limitations. Currently, the Hamilton-Norwood classification system for males and the Ludwig system for females are most commonly used to describe patterns of hair loss. In this article, we review the various classification systems for patterned hair loss in both the sexes. Relevant articles were identified through searches of MEDLINE and EMBASE. Search terms included but were not limited to androgenic alopecia classification, patterned hair loss classification, male pattern baldness classification, and female pattern hair loss classification. Further publications were identified from the reference lists of the reviewed articles. PMID:27081243

  15. Hazard classification guidelines and procedures

    International Nuclear Information System (INIS)

    The presence of a dam creates an incremental hazard to the downstream development beyond that of other natural hazards not associated with the dam, due to the potential for dam failure and uncontrolled water release. The general hazard classification system used by Ontario Hydro is documented and further guidance is provided for the identification and classification of downstream hazards. Suggested methods of determining the preliminary hazard category are also documented. Hazard categories are selected for each structure under both normal and flood conditions, examining potential for increase in loss of life, and economic loss, social and environmental impacts. Analysis of downstream areas includes location of existing facilities, existing land usage and zoning, historical flows and water levels, information concerning previous flooding events, and physical parameters of the dam. Detailed analysis develops the probable maximum precipitation and flood information, and flood routing. Final confirmation of the hazard classification uses the definitive water level information to re-examine the probable loss of life and flood damages. 8 refs., 6 figs

  16. Neuronal Classification of Atria Fibrillation

    Directory of Open Access Journals (Sweden)

    Mohamed BEN MESSAOUD

    2008-06-01

    Full Text Available Motivation. In medical field, particularly the cardiology, the diagnosis systems constitute the essential domain of research. In some applications, the traditional methods of classification present some limitations. The neuronal technique is considered as one of the promising algorithms to resolve such problem.Method. In this paper, two approaches of the Artificial Neuronal Network (ANN technique are investigated to classify the heart beats which are Multi Layer Perception (MLP and Radial Basis Function (RBF. A calculation algorithm of the RBF centers is proposed. For the Atria Fibrillation anomalies, an artificial neural network was used as a pattern classifier to distinguish three classes of the cardiac arrhythmias. The different classes consist of the normal beats (N, the Arrhythmia (AFA and Tachycardia (TFA Atria Fibrillation cases. The global and the partition classifier are performed. The arrhythmias of MIT-BIH database are analyzed. The ANN inputs are the temporal and morphological parameters deduced from the electrocardiograph.Results. The simulation results illustrate the performances of the studied versions of the neural network and give the fault detection rate of the tested data, a rate of classification reaching the 3.7%.Conclusion. This system can constitute a mesh in a chain of automated diagnosis and can be a tool for assistance for the classification of the cardiac anomalies in the services of urgencies before the arrival of a qualified personal person.

  17. Enhancement classification of galaxy images

    Science.gov (United States)

    Jenkinson, John

    With the advent of astronomical imaging technology developments, and the increased capacity of digital storage, the production of photographic atlases of the night sky have begun to generate volumes of data which need to be processed autonomously. As part of the Tonantzintla Digital Sky Survey construction, the present work involves software development for the digital image processing of astronomical images, in particular operations that preface feature extraction and classification. Recognition of galaxies in these images is the primary objective of the present work. Many galaxy images have poor resolution or contain faint galaxy features, resulting in the misclassification of galaxies. An enhancement of these images by the method of the Heap transform is proposed, and experimental results are provided which demonstrate the image enhancement to improve the presence of faint galaxy features thereby improving classification accuracy. The feature extraction was performed using morphological features that have been widely used in previous automated galaxy investigations. Principal component analysis was applied to the original and enhanced data sets for a performance comparison between the original and reduced features spaces. Classification was performed by the Support Vector Machine learning algorithm.

  18. A Classification Table for Achondrites

    Science.gov (United States)

    Chennaoui-Aoudjehane, H.; Larouci, N.; Jambon, A.; Mittlefehldt, D. W.

    2014-01-01

    Classifying chondrites is relatively easy and the criteria are well documented. It is based on mineral compositions, textural characteristics and more recently, magnetic susceptibility. It can be more difficult to classify achondrites, especially those that are very similar to terrestrial igneous rocks, because mineralogical, textural and compositional properties can be quite variable. Achondrites contain essentially olivine, pyroxenes, plagioclases, oxides, sulphides and accessory minerals. Their origin is attributed to differentiated parents bodies: large asteroids (Vesta); planets (Mars); a satellite (the Moon); and numerous asteroids of unknown size. In most cases, achondrites are not eye witnessed falls and some do not have fusion crust. Because of the mineralogical and magnetic susceptibility similarity with terrestrial igneous rocks for some achondrites, it can be difficult for classifiers to confirm their extra-terrestrial origin. We -as classifiers of meteorites- are confronted with this problem with every suspected achondrite we receive for identification. We are developing a "grid" of classification to provide an easier approach for initial classification. We use simple but reproducible criteria based on mineralogical, petrological and geochemical studies. We presented the classes: acapulcoites, lodranites, winonaites and Martian meteorites (shergottite, chassignites, nakhlites). In this work we are completing the classification table by including the groups: angrites, aubrites, brachinites, ureilites, HED (howardites, eucrites, and diogenites), lunar meteorites, pallasites and mesosiderites. Iron meteorites are not presented in this abstract.

  19. Concretion morphology, classification and genesis

    Science.gov (United States)

    Sellés-Martínez, J.

    1996-11-01

    A discussion of the most relevant morphological features of concretionary bodies and the different classifications, and the criteria involved in these classifications is presented, together with suggestions for improvements to the various classification schemes. The meaning of syngenetic, diagenetic and epigenetic related to the relative timing and environment of growth of concretionary bodies is also reviewed and discussed. The replacement of mixed morphogenetic classifications, which lead to conflicting results, by classification categories based on textural features is proposed. Because the identification of the genetic environment of a concretionary body tells little about its history, I recommend defining growth patterns in which the successive steps associated with changes in composition and/or texture and the development of new structures are recorded. A new path is presented that accounts for the contradiction between textural and isotope features, which suggests respectively syngenetic and diagenetic (or even epigenetic) signatures. This new path is characterized by the preservation of large porosities over very long time spans and down to depths that are somewhat greater than expected, due to the inhibition of normal compaction caused by early overpressuring. This overpressuring is the result of the development of hydraulic seals since approximately the syngenetic phase times. The concepts of "force of crystallization" and "displacive growth" are also reviewed. It is being suggested to discard some controversial interpretations of their actual importance for true concretionary displacive growth under epigenetic conditions. In accordance with other authors, the conclusion is reached that displacive growth is only possible if the shear strength of the host is very low and the stress field within the host is almost hydrostatic. A new model (the Symcompactional Concretionary Growth Model) is proposed which explains how a concretionary body, generally a nodule

  20. Project portfolio selection: Multi-criteria analysis and interactions between projects

    OpenAIRE

    BENAIJA, Khadija; Kjiri, Laila

    2015-01-01

    In the project portfolio management, the project selection phase presents the greatest interest. In this article, we focus on this important phase by proposing a new method of projects selection consisting of several steps. We propose as a first step, a classification of projects based on the three most important criteria namely the value maximization, risk minimization and strategic alignment. The second step is building alternatives portfolio by the portfolio managers taking into account th...

  1. IMPREMAS Project, Pilo project for the integration between Environmental Management System and safety Management System; Il Progetto IMPREMAS, Progetto pilota per l'eco-gestion delle Piccole e Medie Imprese classificate a rischio per l'uso e lo stoccaggio di sostanze pericolose previste dal DPR 17.5.1988 n. 175

    Energy Technology Data Exchange (ETDEWEB)

    Luciani, R.; Andriola, L.; Brunetti, N.; Caropreso, G. [ENEA, Centro Ricerche Casaccia, Rome (Italy). Dipt. Ambiente

    1999-07-01

    The topic discussed in this report can be inserted within the context of case studies carried out by ENEA in the promotion of Environmental Management Systems (EMAS-ISO14000). During the IMPREMAS project ENEA has therefore set up a method of integration between Environmental Management System and Safety Management System. [Italian] L'argomento trattato nel presente lavoro si inserisce nel contesto degli studi effettuati dall'ENEA nella promozione dei Sistemi di Gestione Ambientale (EMAS-ISO14000). ENEA durante il progetto IMPREMAS ha sviluppato un metodo per l'integrazione dei Sistemi di Gestione Ambientale con i Sistemi di Gestione della Sicurezza.

  2. Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.

    Science.gov (United States)

    Zhang, Zhao; Li, Fanzhang; Zhao, Mingbo; Zhang, Li; Yan, Shuicheng

    2016-06-01

    Recovering low-rank and sparse subspaces jointly for enhanced robust representation and classification is discussed. Technically, we first propose a transductive low-rank and sparse principal feature coding (LSPFC) formulation that decomposes given data into a component part that encodes low-rank sparse principal features and a noise-fitting error part. To well handle the outside data, we then present an inductive LSPFC (I-LSPFC). I-LSPFC incorporates embedded low-rank and sparse principal features by a projection into one problem for direct minimization, so that the projection can effectively map both inside and outside data into the underlying subspaces to learn more powerful and informative features for representation. To ensure that the learned features by I-LSPFC are optimal for classification, we further combine the classification error with the feature coding error to form a unified model, discriminative LSPFC (D-LSPFC), to boost performance. The model of D-LSPFC seamlessly integrates feature coding and discriminative classification, so the representation and classification powers can be enhanced. The proposed approaches are more general, and several recent existing low-rank or sparse coding algorithms can be embedded into our problems as special cases. Visual and numerical results demonstrate the effectiveness of our methods for representation and classification. PMID:27046875

  3. Hydrological Classification, a Practical Tool for Mangrove Restoration.

    Science.gov (United States)

    Van Loon, Anne F; Te Brake, Bram; Van Huijgevoort, Marjolein H J; Dijksma, Roel

    2016-01-01

    Mangrove restoration projects, aimed at restoring important values of mangrove forests after degradation, often fail because hydrological conditions are disregarded. We present a simple, but robust methodology to determine hydrological suitability for mangrove species, which can guide restoration practice. In 15 natural and 8 disturbed sites (i.e. disused shrimp ponds) in three case study regions in south-east Asia, water levels were measured and vegetation species composition was determined. Using an existing hydrological classification for mangroves, sites were classified into hydrological classes, based on duration of inundation, and vegetation classes, based on occurrence of mangrove species. For the natural sites hydrological and vegetation classes were similar, showing clear distribution of mangrove species from wet to dry sites. Application of the classification to disturbed sites showed that in some locations hydrological conditions had been restored enough for mangrove vegetation to establish, in some locations hydrological conditions were suitable for various mangrove species but vegetation had not established naturally, and in some locations hydrological conditions were too wet for any mangrove species (natural or planted) to grow. We quantified the effect that removal of obstructions such as dams would have on the hydrology and found that failure of planting at one site could have been prevented. The hydrological classification needs relatively little data, i.e. water levels for a period of only one lunar tidal cycle without additional measurements, and uncertainties in the measurements and analysis are relatively small. For the study locations, the application of the hydrological classification gave important information about how to restore the hydrology to suitable conditions to improve natural regeneration or to plant mangrove species, which could not have been obtained by estimating elevation only. Based on this research a number of recommendations

  4. Hydrological Classification, a Practical Tool for Mangrove Restoration.

    Directory of Open Access Journals (Sweden)

    Anne F Van Loon

    Full Text Available Mangrove restoration projects, aimed at restoring important values of mangrove forests after degradation, often fail because hydrological conditions are disregarded. We present a simple, but robust methodology to determine hydrological suitability for mangrove species, which can guide restoration practice. In 15 natural and 8 disturbed sites (i.e. disused shrimp ponds in three case study regions in south-east Asia, water levels were measured and vegetation species composition was determined. Using an existing hydrological classification for mangroves, sites were classified into hydrological classes, based on duration of inundation, and vegetation classes, based on occurrence of mangrove species. For the natural sites hydrological and vegetation classes were similar, showing clear distribution of mangrove species from wet to dry sites. Application of the classification to disturbed sites showed that in some locations hydrological conditions had been restored enough for mangrove vegetation to establish, in some locations hydrological conditions were suitable for various mangrove species but vegetation had not established naturally, and in some locations hydrological conditions were too wet for any mangrove species (natural or planted to grow. We quantified the effect that removal of obstructions such as dams would have on the hydrology and found that failure of planting at one site could have been prevented. The hydrological classification needs relatively little data, i.e. water levels for a period of only one lunar tidal cycle without additional measurements, and uncertainties in the measurements and analysis are relatively small. For the study locations, the application of the hydrological classification gave important information about how to restore the hydrology to suitable conditions to improve natural regeneration or to plant mangrove species, which could not have been obtained by estimating elevation only. Based on this research a number

  5. Hydrological Classification, a Practical Tool for Mangrove Restoration

    Science.gov (United States)

    Van Loon, Anne F.; Te Brake, Bram; Van Huijgevoort, Marjolein H. J.; Dijksma, Roel

    2016-01-01

    Mangrove restoration projects, aimed at restoring important values of mangrove forests after degradation, often fail because hydrological conditions are disregarded. We present a simple, but robust methodology to determine hydrological suitability for mangrove species, which can guide restoration practice. In 15 natural and 8 disturbed sites (i.e. disused shrimp ponds) in three case study regions in south-east Asia, water levels were measured and vegetation species composition was determined. Using an existing hydrological classification for mangroves, sites were classified into hydrological classes, based on duration of inundation, and vegetation classes, based on occurrence of mangrove species. For the natural sites hydrological and vegetation classes were similar, showing clear distribution of mangrove species from wet to dry sites. Application of the classification to disturbed sites showed that in some locations hydrological conditions had been restored enough for mangrove vegetation to establish, in some locations hydrological conditions were suitable for various mangrove species but vegetation had not established naturally, and in some locations hydrological conditions were too wet for any mangrove species (natural or planted) to grow. We quantified the effect that removal of obstructions such as dams would have on the hydrology and found that failure of planting at one site could have been prevented. The hydrological classification needs relatively little data, i.e. water levels for a period of only one lunar tidal cycle without additional measurements, and uncertainties in the measurements and analysis are relatively small. For the study locations, the application of the hydrological classification gave important information about how to restore the hydrology to suitable conditions to improve natural regeneration or to plant mangrove species, which could not have been obtained by estimating elevation only. Based on this research a number of recommendations

  6. An applied research on remote sensing classification in the Loess Plateau%黄土高原遥感分类应用研究

    Institute of Scientific and Technical Information of China (English)

    刘咏梅; 汤国安; 李天文

    2003-01-01

    Due to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in the remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification and unsupervised classification,sampling method is remarkably improved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas.

  7. TEXT CLASSIFICATION TOWARD A SCIENTIFIC FORUM

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Text mining, also known as discovering knowledge from the text, which has emerged as a possible solution for the current information explosion, refers to the process of extracting non-trivial and useful patterns from unstructured text. Among the general tasks of text mining such as text clustering,summarization, etc, text classification is a subtask of intelligent information processing, which employs unsupervised learning to construct a classifier from training text by which to predict the class of unlabeled text. Because of its simplicity and objectivity in performance evaluation, text classification was usually used as a standard tool to determine the advantage or weakness of a text processing method, such as text representation, text feature selection, etc. In this paper, text classification is carried out to classify the Web documents collected from XSSC Website (http://www. xssc.ac.cn). The performance of support vector machine (SVM) and back propagation neural network (BPNN) is compared on this task. Specifically, binary text classification and multi-class text classification were conducted on the XSSC documents. Moreover, the classification results of both methods are combined to improve the accuracy of classification. An experiment is conducted to show that BPNN can compete with SVM in binary text classification; but for multi-class text classification, SVM performs much better. Furthermore, the classification is improved in both binary and multi-class with the combined method.

  8. Tumor classification: molecular analysis meets Aristotle

    International Nuclear Information System (INIS)

    Traditionally, tumors have been classified by their morphologic appearances. Unfortunately, tumors with similar histologic features often follow different clinical courses or respond differently to chemotherapy. Limitations in the clinical utility of morphology-based tumor classifications have prompted a search for a new tumor classification based on molecular analysis. Gene expression array data and proteomic data from tumor samples will provide complex data that is unobtainable from morphologic examination alone. The growing question facing cancer researchers is, 'How can we successfully integrate the molecular, morphologic and clinical characteristics of human cancer to produce a helpful tumor classification?' Current efforts to classify cancers based on molecular features ignore lessons learned from millennia of experience in biological classification. A tumor classification must include every type of tumor and must provide a unique place for each tumor within the classification. Groups within a classification inherit the properties of their ancestors and impart properties to their descendants. A classification was prepared grouping tumors according to their histogenetic development. The classification is simple (reducing the complexity of information received from the molecular analysis of tumors), comprehensive (providing a place for every tumor of man), and consistent with recent attempts to characterize tumors by cytogenetic and molecular features. The clinical and research value of this historical approach to tumor classification is discussed. This manuscript reviews tumor classification and provides a new and comprehensive classification for neoplasia that preserves traditional nomenclature while incorporating information derived from the molecular analysis of tumors. The classification is provided as an open access XML document that can be used by cancer researchers to relate tumor classes with heterogeneous experimental and clinical tumor

  9. Classification

    Data.gov (United States)

    National Aeronautics and Space Administration — A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training...

  10. Data-Driven Multimodal Sleep Apnea Events Detection : Synchrosquezing Transform Processing and Riemannian Geometry Classification Approaches.

    Science.gov (United States)

    Rutkowski, Tomasz M

    2016-07-01

    A novel multimodal and bio-inspired approach to biomedical signal processing and classification is presented in the paper. This approach allows for an automatic semantic labeling (interpretation) of sleep apnea events based the proposed data-driven biomedical signal processing and classification. The presented signal processing and classification methods have been already successfully applied to real-time unimodal brainwaves (EEG only) decoding in brain-computer interfaces developed by the author. In the current project the very encouraging results are obtained using multimodal biomedical (brainwaves and peripheral physiological) signals in a unified processing approach allowing for the automatic semantic data description. The results thus support a hypothesis of the data-driven and bio-inspired signal processing approach validity for medical data semantic interpretation based on the sleep apnea events machine-learning-related classification. PMID:27194241

  11. 基于偏最小二乘投影的可见/近红外光谱猪肉综合品质分类%Classification of pork comprehensive quality based on partial least squares projection and Vis/NIR spectroscopy

    Institute of Scientific and Technical Information of China (English)

    刘媛媛; 彭彦昆; 王文秀; 张雷蕾

    2014-01-01

    spectroscopic technology in terms of its accuracy and detection speed. This study proposes a pork comprehensive quality classifying method based on partial least squares (PLS) projection algorithm and support vector machine (SVM). The acquired spectral data of sample meat were first normalized using standard normal variation (SNV) transformation method. Next, the whole sample was randomly classified into two sets: the calibration set (for developing prediction model using 75%of total samples) and the validation set ( to validate the model using remaining 25%of the total samples). Mean filter was used to smooth the normalized spectral signal. Partial least square projection method was then used to obtain projection coefficients for each wave band. Classification models were developed using 1 to 20 different wave bands, and root mean square errors (RMSE) of each model were calculated by cross validation. The lowest RMSE was obtained using 13 wave bands and it was observed that it became stable with more wavelengths. The spectral wave lengths of 371, 388, 425, 456, 473, 562, 578, 607, 696, 764, 772, 813 and 927 nm were chosen based on the RMSE value to develop a pork quality prediction and classification model. Particle swarm optimization (PSO) algorithm optimized penalty parameter and radial basis core function parameter, was 4.939 and 0.01 for the best. Pork comprehensive quality SVM classifier was established using special wavelengths and optimized parameters. It was shown that the back-to-recognition rate of pale, soft, and exudative (PSE), reddish, firm, and non-exudative (RFN), and dark, firm, and dry (DFD) in training sets were 88.46%, 94.11%, and 92.31%respectively. For testing sets, predictive accuracy rates of three kinds were 84.62%, 94.11%, and 84.62%respectively. The study revealed the advantages of the established classifier, such as based on simple model and achieving high prediction accuracy, and so on. This study shows a simple, rapid, and non-destructive method

  12. Cirrhosis classification based on texture classification of random features.

    Science.gov (United States)

    Liu, Hui; Shao, Ying; Guo, Dongmei; Zheng, Yuanjie; Zhao, Zuowei; Qiu, Tianshuang

    2014-01-01

    Accurate staging of hepatic cirrhosis is important in investigating the cause and slowing down the effects of cirrhosis. Computer-aided diagnosis (CAD) can provide doctors with an alternative second opinion and assist them to make a specific treatment with accurate cirrhosis stage. MRI has many advantages, including high resolution for soft tissue, no radiation, and multiparameters imaging modalities. So in this paper, multisequences MRIs, including T1-weighted, T2-weighted, arterial, portal venous, and equilibrium phase, are applied. However, CAD does not meet the clinical needs of cirrhosis and few researchers are concerned with it at present. Cirrhosis is characterized by the presence of widespread fibrosis and regenerative nodules in the hepatic, leading to different texture patterns of different stages. So, extracting texture feature is the primary task. Compared with typical gray level cooccurrence matrix (GLCM) features, texture classification from random features provides an effective way, and we adopt it and propose CCTCRF for triple classification (normal, early, and middle and advanced stage). CCTCRF does not need strong assumptions except the sparse character of image, contains sufficient texture information, includes concise and effective process, and makes case decision with high accuracy. Experimental results also illustrate the satisfying performance and they are also compared with typical NN with GLCM. PMID:24707317

  13. Radiological classification of mandibular fractures

    International Nuclear Information System (INIS)

    Mandibular fractures present the biggest part (up to 97%) of the facial bone fractures. Method of choice for diagnosing of mandibular fractures is conventional radiography. The aim of the issue is to present an unified radiological classification of mandibular fractures for the clinical practice. This classification includes only those clinical symptoms of mandibular fracture which could be radiologically objectified: exact anatomical localization (F1-F6), teeth in fracture line (Ta,Tb), grade of dislocation (D I, D II), occlusal disturbances (O(+), O(-)). Radiological symptoms expressed by letter and number symbols are systematized in a formula - FTDO of mandibular fractures similar to TNM formula for tumours. FTDO formula expresses radiological diagnose of each mandibular fracture but it doesn't include neither the site (left or right) of the fracture, nor the kind and number of fractures. In order to express topography and number of fractures the radiological formula is transformed into a decimal fraction. The symbols (FTD) of right mandible fracture are written in the numerator and those of the left site - in the denominator. For double and multiple fractures between the symbols for each fracture we put '+'. Symbols for occlusal disturbances are put down opposite, the fractional line. So topographo-anatomical formula (FTD/FTD)xO is formed. In this way the whole radiological information for unilateral, bilateral, single or multiple fractures of the mandible is expressed. The information in the radiological topography anatomic formula, resp. from the unified topography-anatomic classification ensures a quick and exact X-ray diagnose of mandibular fracture. In this way contributes to get better, make easier and faster X-ray diagnostic process concerning mandibular fractures. And all these is a precondition for prevention of retardation of the diagnosis mandibular fracture. (author)

  14. Mechanical equipment classification research of AP1000 nuclear units

    International Nuclear Information System (INIS)

    According to the design features of AP1000, the AP1000 classification definition and seismic classification is described and analyzed. The characteristics of AP1000 mechanical equipment classification list is concluded for safety, seismic and manufacture classification. Through comparing the AP1000 classification and M310 classification, the questions perhaps met are found during the mechanical equipment classification of AP1000 nuclear power plants design and construction in China at future. Finally solution plans are given aiming at the above questions. (authors)

  15. Pattern classification through fuzzy likelihood

    Directory of Open Access Journals (Sweden)

    Rosa M. Pidatella

    2015-12-01

    Full Text Available This paper introduces a novel way to compute the membership function of a fuzzy set approximating the distribution of some observed data starting with their histogram. This membership function is in turn used to obtain a posteriori probability through a suitable version of the Bayesian formula. The ordering imposed by an  overtaking relation between fuzzy numbers translates immediately into a dominance of the a posteriori probability of a class over another for a given observed value. In this way a crisp classification is eventually obtained.

  16. SEMANTIC TRANSFERS: CRITERIA FOR CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    Moskvin, V.P.

    2016-03-01

    Full Text Available There is represented the general classification of semantic transfers. As the research has shown, transfers can be systematized based on four parameters: 1 the type of associations lying on their basis: similarity, contiguity and contrast, the associations by similarity and contrast being regarded as the basis for taxonomic transfers (from genus to species, from species to genus, from species to species, etc.; 2 the functional parameter: functionally relevant and irrelevant; 3 the sphere of action: transfer applies both to lexical and grammatical semantics; 4 the degree of ex-pressiveness: thus, the metonymic associations are more predictable than the metaphoric ones.

  17. Unsupervised automatic music genre classification

    OpenAIRE

    Barreira, Luís Filipe Marques

    2010-01-01

    Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática In this study we explore automatic music genre recognition and classification of digital music. Music has always been a reflection of culture di erences and an influence in our society. Today’s digital content development triggered the massive use of digital music. Nowadays,digital music is manually labeled without following a universa...

  18. MINING ACCESS PATTERNS USING CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    Mrs. Kiruthika M,

    2010-07-01

    Full Text Available In day to day life, we see many advertisements aimed at attracting more customers and also changes in marketing schemes. These are done by a company after immense research in the market about the customer. Since, internet became a household phenomenon; it gave rise to creation of many websites. Extracting the usage patterns of usersbecame very important. Thus, websites were required to maintain user profiles for better marketing purposes over the internet. In this paper, we discuss classification of the usage pattern of the users into one or more predefined classes. This may help the company in decision making and also to some extent customer satisfaction can beachieved.

  19. Classification theory of polarized varieties

    CERN Document Server

    Fujita, Takao

    1990-01-01

    A polarised variety is a modern generalization of the notion of a variety in classical algebraic geometry. It consists of a pair: the algebraic variety itself, together with an ample line bundle on it. Using techniques from abstract algebraic geometry that have been developed over recent decades, Professor Fujita develops classification theories of such pairs using invariants that are polarised higher-dimensional versions of the genus of algebraic curves. The heart of the book is the theory of D-genus and sectional genus developed by the author, but numerous related topics are discussed or sur

  20. Simulation of Various Classifications Results using WEKA

    Directory of Open Access Journals (Sweden)

    Ms. Shilpa Dhanjibhai Serasiya

    2012-08-01

    Full Text Available In this paper, we focused on the construction ofclass association rules and classification model. In knowledgediscovery process association rule mining and classification aretwo important techniques of data mining and widely used invarious fields. In order to mine only rules that can be used forprediction, we modified the well known association rule miningalgorithm - Apriori to handle user-defined input constraints. Thepaper tries to explain the basics of class association rule miningand classification through WEKA. This article presents howproblems of classification and prediction can be solved usingclass association rules. In the simulation on WEKA, we haveused selected classification techniques to propose theappropriate result from our training dataset. Thus, by using thesimulated results, we suggest the classification using associationrules.