WorldWideScience

Sample records for automatic car identification

  1. PLC Based Automatic Multistoried Car Parking System

    OpenAIRE

    2014-01-01

    This project work presents the study and design of PLC based Automatic Multistoried Car Parking System. Multistoried car parking is an arrangement which is used to park a large number of vehicles in least possible place. For making this arrangement in a real plan very high technological instruments are required. In this project a prototype of such a model is made. This prototype model is made for accommodating twelve cars at a time. Availability of the space for parking is detecte...

  2. PLC Based Automatic Multistoried Car Parking System

    Directory of Open Access Journals (Sweden)

    Swanand S .Vaze

    2014-12-01

    Full Text Available This project work presents the study and design of PLC based Automatic Multistoried Car Parking System. Multistoried car parking is an arrangement which is used to park a large number of vehicles in least possible place. For making this arrangement in a real plan very high technological instruments are required. In this project a prototype of such a model is made. This prototype model is made for accommodating twelve cars at a time. Availability of the space for parking is detected by optical proximity sensor which is placed on the pallet. A motor controlled elevator is used to lift the cars. Elevator status is indicated by LED which is placed on ground floor. Controlling of the platforms and checking the vacancies is done by PLC. For unparking of car, keyboard is interfaced with the model for selection of required platform. Automation is done to reduce requirement of space and also to reduce human errors, which in-turn results in highest security and greatest flexibility. Due to these advantages, this system can be used in hotels, railway stations, airports where crowding of car is more.

  3. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

    Full Text Available Automatic dialect identification is a necessary Lan guage Technology for processing multi- dialect languages in which the dialects are linguis tically far from each other. Particularly, this becomes crucial where the dialects are mutually uni ntelligible. Therefore, to perform computational activities on these languages, the sy stem needs to identify the dialect that is the subject of the process. Kurdish language encompasse s various dialects. It is written using several different scripts. The language lacks of a standard orthography. This situation makes the Kurdish dialectal identification more interesti ng and required, both form the research and from the application perspectives. In this research , we have applied a classification method, based on supervised machine learning, to identify t he dialects of the Kurdish texts. The research has focused on two widely spoken and most dominant Kurdish dialects, namely, Kurmanji and Sorani. The approach could be applied to the other Kurdish dialects as well. The method is also applicable to the languages which are similar to Ku rdish in their dialectal diversity and differences.

  4. Automatic Identification of Metaphoric Utterances

    Science.gov (United States)

    Dunn, Jonathan Edwin

    2013-01-01

    This dissertation analyzes the problem of metaphor identification in linguistic and computational semantics, considering both manual and automatic approaches. It describes a manual approach to metaphor identification, the Metaphoricity Measurement Procedure (MMP), and compares this approach with other manual approaches. The dissertation then…

  5. AUTOMATIC RECOGNITION OF FREIGHT CAR NUMBER

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This paper discusses methods for character extraction on the basis of statistical and structural features of gray-level images,and proposes a dynamic local contrast threshold method accommodating to line width.Precise locating of character string is realized by exploiting horizontal projection and character arrangements of binary images in horizontal and vertical directions respectively.Also discussed is the method for segmentation of characters in binary images,which is based on projection taking stroke width and character sizes into account.A new method for character identification is explored,which is based on compound neural networks.A complex neural network consists of two sub-nets,the first sub-net performs self-association of patterns via 2-dimentional local-connected 3-order networks,the second sub-net,linking with a locally connected BP networks,performs classification.The reliability of the network recognition is reinforced by introducing conditions for identification denial.Experiments confirm that the proposed methods possess the advantages of impressive robustness,rapid processing and high accuracy of identification.

  6. Automatic Language Identification

    Science.gov (United States)

    2000-08-01

    Phonology . A "phoneme" is an underlying men- THIS WORK WAS SPONSORED BY THE DEPARTMENT tal representation of a phonological unit in a lan- OF DEFENSE...34 is a realization of an acoustic- FORCE. phonetic unit or segment. It is the actual sound 106 ACOUSTIC AND LANGUAGE MODEL LIBRARY AFRIKAANS...LID. HMM-based language identification phonetic transcription (sequence of symbols representing was first proposed by House and Neuburg [17]. Savic

  7. Automatic sign language identification

    OpenAIRE

    Gebre, B.G.; Wittenburg, P.; Heskes, T.

    2013-01-01

    We propose a Random-Forest based sign language identification system. The system uses low-level visual features and is based on the hypothesis that sign languages have varying distributions of phonemes (hand-shapes, locations and movements). We evaluated the system on two sign languages -- British SL and Greek SL, both taken from a publicly available corpus, called Dicta Sign Corpus. Achieved average F1 scores are about 95% - indicating that sign languages can be identified with high accuracy...

  8. 2014 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2014 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  9. 2010 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2010 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  10. Automatic identification for standing tree limb pruning

    Institute of Scientific and Technical Information of China (English)

    Sun Renshan; Li Wenbin; Tian Yongchen; Hua Li

    2006-01-01

    To meet the demand of automatic pruning machines,this paper presents a new method for dynamic automatic identification of standing tree limbs and capture of the digital images of Platycladus orientalis.Methods of computer vision,image processing and wavelet analysis technology were used to compress,filter,segment,abate noise and capture the outline of the picture.We then present the arithmetic for dynamic automatic identification of standing tree limbs,extracting basic growth characteristics of the standing trees such as the form,size,degree of bending and their relative spatial position.We use pattern recognition technology to confirm the proportionate relationship matching the database and thus achieve the goal of dynamic automatic identification of standing tree limbs.

  11. Intelligent Storage System Based on Automatic Identification

    Directory of Open Access Journals (Sweden)

    Kolarovszki Peter

    2014-09-01

    Full Text Available This article describes RFID technology in conjunction with warehouse management systems. Article also deals with automatic identification and data capture technologies and each processes, which are used in warehouse management system. It describes processes from entering goods into production to identification of goods and also palletizing, storing, bin transferring and removing goods from warehouse. Article focuses on utilizing AMP middleware in WMS processes in Nowadays, the identification of goods in most warehouses is carried through barcodes. In this article we want to specify, how can be processes described above identified through RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina, and also in Laboratory of Automatic Identification Goods and Services located in GS1 Slovakia. The results of our research bring the new point of view and indicate the ways using of RFID technology in warehouse management system.

  12. Toward the Automatic Identification of Sublanguage Vocabulary.

    Science.gov (United States)

    Haas, Stephanie W.; He, Shaoyi

    1993-01-01

    Describes the development of a method for the automatic identification of sublanguage vocabulary words as they occur in abstracts. Highlights include research relating to sublanguages and their vocabulary; domain terms; evaluation criteria, including recall and precision; and implications for natural language processing and information retrieval.…

  13. Design and Analysis of Automatic Car Park System with Capacity Control

    Directory of Open Access Journals (Sweden)

    Musa Mohammed Gujja

    2015-08-01

    Full Text Available :The need for an automatic car park gate system has been in increase in recent times following the economic situation in present days. The circuit is aimed at eliminating manual operation of a car park. It incorporate the use of LM741 op-amp and CD4017 decade counter for controlling the number of vehicle that can have access to the parking premises and the circuit is fixed close to the gate with the sensor tragically located where it can sense the presence of a car. The light dependent resistor (LDR senses both entrance and exit of the cars and this followed the maximum of three cars in the case of this design. As a monitoring and control system, when you comes close to the gate the light dependent resistor senses an incoming car which allows the gate to open automatically and closed when done. This process is same for outgoing cars. This module make use of an optical sensor, whose resistance changes with the intensity of light (Horowitz, 1980 the type use is ORP12 and it has a dark resistance of 10MΩ. When light rays are focused on the light dependent resistor (LDR, the resistance becomes very low (0-500Ω but when the rays are interrupted, the increases to its dark resistance (Huiyu, 2010. The variable resistor is used to vary the sensitivity of the light dependent resistor. It is otherwise called dark activated sensor. For the design two conditions are considered. First, when light rays are focused on the ORP12, and second, when the rays are being interrupted. The counter registers and displays the number of vehicle crossing the gate (both entrance and exit and allows maximum of three cars. Once the maximum is reached, the gate entrance remains closed and inaccessible, until another vehicle leaves the park. The car park system comprises of the sensor unit, trigger circuitry, display unit (switching unit and the power supply unit.

  14. An efficient automatic firearm identification system

    Science.gov (United States)

    Chuan, Zun Liang; Liong, Choong-Yeun; Jemain, Abdul Aziz; Ghani, Nor Azura Md.

    2014-06-01

    Automatic firearm identification system (AFIS) is highly demanded in forensic ballistics to replace the traditional approach which uses comparison microscope and is relatively complex and time consuming. Thus, several AFIS have been developed for commercial and testing purposes. However, those AFIS are still unable to overcome some of the drawbacks of the traditional firearm identification approach. The goal of this study is to introduce another efficient and effective AFIS. A total of 747 firing pin impression images captured from five different pistols of same make and model are used to evaluate the proposed AFIS. It was demonstrated that the proposed AFIS is capable of producing firearm identification accuracy rate of over 95.0% with an execution time of less than 0.35 seconds per image.

  15. Automatic Palette Identification of Colored Graphics

    Science.gov (United States)

    Lacroix, Vinciane

    The median-shift, a new clustering algorithm, is proposed to automatically identify the palette of colored graphics, a pre-requisite for graphics vectorization. The median-shift is an iterative process which shifts each data point to the "median" point of its neighborhood defined thanks to a distance measure and a maximum radius, the only parameter of the method. The process is viewed as a graph transformation which converges to a set of clusters made of one or several connected vertices. As the palette identification depends on color perception, the clustering is performed in the L*a*b* feature space. As pixels located on edges are made of mixed colors not expected to be part of the palette, they are removed from the initial data set by an automatic pre-processing. Results are shown on scanned maps and on the Macbeth color chart and compared to well established methods.

  16. Time Synchronization Module for Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

    Choi Il-heung; Oh Sang-heon; Choi Dae-soo; Park Chan-sik; Hwang Dong-hwan; Lee Sang-jeong

    2003-01-01

    This paper proposed a design and implementation procedure of the Time Synchronization Module (TSM) for the Automatic Identification System (AIS). The proposed TSM module uses a Temperature Compensated Crystal Oscillator (TCXO) as a local reference clock, and consists of a Digitally Controlled Oscillator (DCO), a divider, a phase discriminator, and register blocks. The TSM measures time difference between the 1 PPS from the Global Navigation Satellite System (GNSS) receiver and the generated transmitter clock. The measured time difference is compensated by controlling the DCO and the transmit clock is synchronized to the Universal Time Coordinated (UTC). The designed TSM can also be synchronized to the reference time derived from the received message. The proposed module is tested using the experimental AIS transponder set. The experimental results show that the proposed module satisfies the functional and timing specification of the AIS technical standard, ITU-R M.1371.

  17. Design Analysis of Conveyor Mechanism Unit for Automatic Car Park System

    Directory of Open Access Journals (Sweden)

    Preeti S. Dambhare,

    2015-09-01

    Full Text Available The design analysis of a conveyor mechanism for an automatic car park is discussed. The conveyor assembly is made up of three units; the rack-pinion unit, the cable drive unit and the cantilever. The rack-pinion unit converts the rotational motion of a stepper motor to a linear forward and backward motion of the conveyor. The cable drive converts the rotational motion of another stepper motor to upward and downward motion of the cantilever to lift and lower the car at will. The cantilever is responsible for positioning the vehicle in the stack unit. The parameter for the cantilever is estimated to avoid excess deflection that could result from impact loading of a vehicle on the lift mechanism. The pinion-rack design for strength and rigidity is considered for the load required to be translated by the conveyor. The prototype was interfaced with a computer for operation using parallel port.

  18. Outlier-Tolerance RML Identification of Parameters in CAR Model

    Directory of Open Access Journals (Sweden)

    Hong Teng-teng

    2016-10-01

    Full Text Available The measured data inevitably contain abnormal data under the normal operating conditions. Most of the existing algorithms, such as least squares identification and maximum likelihood estimation, are easily affected by abnormal data and appear large indentation deviation. It is a difficult task needed to be addressed that how to improve the sensitivity of the existing algorithm or build a new parameter identifying algorithm with outlier-tolerance ability to abnormal data in system identification technology application. In this paper, the sensitivity of the RML to the sampled abnormal data was analyzed and a new improvement algorithm of CAR process is established to improve outlier-tolerance ability of the RML identification when there are outliers in the sampling series. The improved algorithm not only effectively inhibits the negative impact of the abnormal data but also effectively improve the quality of the parameter identification results. Some simulation given in this paper shows that the improved RML algorithm has strong outlier-tolerance. This paper’s research results play an important role in engineering control, signal processing, industrial automation and aerospace or other fields.

  19. Cars

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The first car In 1885,German mechanical engineer,Karl Benz designed and built the world’s first practical automobile to be powered by an internal-combustion engine(内燃机).On January 29,1886,Benz received the first patent(专利)for a gas-fueled car.It was a three- wheeler;Benz built his first four-wheeled car in 1891.Benz & Company,the company started by the inventor,became the world’s largest manufacturer of automobiles by 1900.

  20. Statistical pattern recognition for automatic writer identification and verification

    NARCIS (Netherlands)

    Bulacu, Marius Lucian

    2007-01-01

    The thesis addresses the problem of automatic person identification using scanned images of handwriting.Identifying the author of a handwritten sample using automatic image-based methods is an interesting pattern recognition problem with direct applicability in the forensic and historic document ana

  1. Automatic handwriting identification on medieval documents

    NARCIS (Netherlands)

    Bulacu, M.L.; Schomaker, L.R.B.

    2007-01-01

    In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic feat

  2. All-optical automatic pollen identification: Towards an operational system

    Science.gov (United States)

    Crouzy, Benoît; Stella, Michelle; Konzelmann, Thomas; Calpini, Bertrand; Clot, Bernard

    2016-09-01

    We present results from the development and validation campaign of an optical pollen monitoring method based on time-resolved scattering and fluorescence. Focus is first set on supervised learning algorithms for pollen-taxa identification and on the determination of aerosol properties (particle size and shape). The identification capability provides a basis for a pre-operational automatic pollen season monitoring performed in parallel to manual reference measurements (Hirst-type volumetric samplers). Airborne concentrations obtained from the automatic system are compatible with those from the manual method regarding total pollen and the automatic device provides real-time data reliably (one week interruption over five months). In addition, although the calibration dataset still needs to be completed, we are able to follow the grass pollen season. The high sampling from the automatic device allows to go beyond the commonly-presented daily values and we obtain statistically significant hourly concentrations. Finally, we discuss remaining challenges for obtaining an operational automatic monitoring system and how the generic validation environment developed for the present campaign could be used for further tests of automatic pollen monitoring devices.

  3. FORENSIC LINGUISTICS: AUTOMATIC WEB AUTHOR IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    A. A. Vorobeva

    2016-03-01

    Full Text Available Internet is anonymous, this allows posting under a false name, on behalf of others or simply anonymous. Thus, individuals, criminal or terrorist organizations can use Internet for criminal purposes; they hide their identity to avoid the prosecuting. Existing approaches and algorithms for author identification of web-posts on Russian language are not effective. The development of proven methods, technics and tools for author identification is extremely important and challenging task. In this work the algorithm and software for authorship identification of web-posts was developed. During the study the effectiveness of several classification and feature selection algorithms were tested. The algorithm includes some important steps: 1 Feature extraction; 2 Features discretization; 3 Feature selection with the most effective Relief-f algorithm (to find the best feature set with the most discriminating power for each set of candidate authors and maximize accuracy of author identification; 4 Author identification on model based on Random Forest algorithm. Random Forest and Relief-f algorithms are used to identify the author of a short text on Russian language for the first time. The important step of author attribution is data preprocessing - discretization of continuous features; earlier it was not applied to improve the efficiency of author identification. The software outputs top q authors with maximum probabilities of authorship. This approach is helpful for manual analysis in forensic linguistics, when developed tool is used to narrow the set of candidate authors. For experiments on 10 candidate authors, real author appeared in to top 3 in 90.02% cases, on first place real author appeared in 70.5% of cases.

  4. Person categorization and automatic racial stereotyping effects on weapon identification.

    Science.gov (United States)

    Jones, Christopher R; Fazio, Russell H

    2010-08-01

    Prior stereotyping research provides conflicting evidence regarding the importance of person categorization along a particular dimension for the automatic activation of a stereotype corresponding to that dimension. Experiment 1 replicated a racial stereotyping effect on object identification and examined whether it could be attenuated by encouraging categorization by age. Experiment 2 employed socially complex person stimuli and manipulated whether participants categorized spontaneously or by race. In Experiment 3, the distinctiveness of the racial dimension was manipulated by having Black females appear in the context of either Black males or White females. The results indicated that conditions fostering categorization by race consistently produced automatic racial stereotyping and that conditions fostering nonracial categorization can eliminate automatic racial stereotyping. Implications for the relation between automatic stereotype activation and dimension of categorization are discussed.

  5. Automatic seagrass pattern identification on sonar images

    Science.gov (United States)

    Rahnemoonfar, Maryam; Rahman, Abdullah

    2016-05-01

    Natural and human-induced disturbances are resulting in degradation and loss of seagrass. Freshwater flooding, severe meteorological events and invasive species are among the major natural disturbances. Human-induced disturbances are mainly due to boat propeller scars in the shallow seagrass meadows and anchor scars in the deeper areas. Therefore, there is a vital need to map seagrass ecosystems in order to determine worldwide abundance and distribution. Currently there is no established method for mapping the pothole or scars in seagrass. One of the most precise sensors to map the seagrass disturbance is side scan sonar. Here we propose an automatic method which detects seagrass potholes in sonar images. Side scan sonar images are notorious for having speckle noise and uneven illumination across the image. Moreover, disturbance presents complex patterns where most segmentation techniques will fail. In this paper, by applying mathematical morphology technique and calculating the local standard deviation of the image, the images were enhanced and the pothole patterns were identified. The proposed method was applied on sonar images taken from Laguna Madre in Texas. Experimental results show the effectiveness of the proposed method.

  6. A model for automatic identification of human pulse signals

    Institute of Scientific and Technical Information of China (English)

    Hui-yan WANG; Pei-yong ZHANG

    2008-01-01

    This paper presents a quantitative method for automatic identification of human pulse signals. The idea is to start with the extraction of characteristic parameters and then to construct the recognition model based on Bayesian networks. To identify depth, frequency and rhythm, several parameters are proposed. To distinguish the strength and shape, which cannot be represented by one or several parameters and are hard to recognize, the main time-domain feature parameters are computed based on the feature points of the pulse signal. Then the extracted parameters are taken as the input and five models for automatic pulse signal identification are constructed based on Bayesian networks. Experimental results demonstrate that the method is feasible and effective in recognizing depth, frequency, rhythm, strength and shape of pulse signals, which can be expected to facilitate the modernization of pulse diagnosis.

  7. On the advances of automatic modal identification for SHM

    Directory of Open Access Journals (Sweden)

    Cardoso Rharã

    2015-01-01

    Full Text Available Structural health monitoring of civil infrastructures has great practical importance for engineers, owners and stakeholders. Numerous researches have been carried out using long-term monitoring, for instance the Rio-Niterói Bridge in Brazil, the former Z24 Bridge in Switzerland, the Millau Bridge in France, among others. In fact, some structures are monitored 24/7 in order to supply dynamic measurements that can be used for the identification of structural problems such as the presence of cracks, excessive vibration, damage or even to perform a quite extensive structural evaluation concerning its reliability and life cycle. The outputs of such an analysis, commonly entitled modal identification, are the so-called modal parameters, i.e. natural frequencies, damping ratios and mode shapes. Therefore, the development and validation of tools for the automatic identification of modal parameters based on the structural responses during normal operation is fundamental, as the success of subsequent damage detection algorithms depends on the accuracy of the modal parameters estimates. The proposed methodology uses the data driven stochastic subspace identification method (SSI-DATA, which is then complemented by a novel procedure developed for the automatic analysis of the stabilization diagrams provided by the SSI-DATA method. The efficiency of the proposed approach is attested via experimental investigations on a simply supported beam tested in laboratory and on a motorway bridge.

  8. MAC, A System for Automatically IPR Identification, Collection and Distribution

    Science.gov (United States)

    Serrão, Carlos

    Controlling Intellectual Property Rights (IPR) in the Digital World is a very hard challenge. The facility to create multiple bit-by-bit identical copies from original IPR works creates the opportunities for digital piracy. One of the most affected industries by this fact is the Music Industry. The Music Industry has supported huge losses during the last few years due to this fact. Moreover, this fact is also affecting the way that music rights collecting and distributing societies are operating to assure a correct music IPR identification, collection and distribution. In this article a system for automating this IPR identification, collection and distribution is presented and described. This system makes usage of advanced automatic audio identification system based on audio fingerprinting technology. This paper will present the details of the system and present a use-case scenario where this system is being used.

  9. [Non-destructive brand identification of car wax using visible and near-infrared spectroscopy].

    Science.gov (United States)

    Zhang, Yu; Tan, Li-Hong; He, Yong

    2014-02-01

    Visible and near-infrared (Vis-NIR) spectroscopy was applied to identify brands of car wax. A total of 104 samples were obtained for the analysis, in which 40 samples (calibration set) were used for model calibration, and the remaining 64 samples (prediction set) were used to validate the calibrated model independently. Linear discriminant analysis (LDA) and least square-support vector machine (LS-SVM) were respectively used to establish identification models for car wax with five brands based on their Vis-NIR spectra. Correct rates for prediction sample set were 84% and 97% for LDA and LS-SVM models, respectively. Spectral variable selection was further conducted by successive projections algorithm, (SPA), resulting in seven feature variables (351, 365, 401, 441, 605, 926, and 980 nm) selected from full range spectra that had 751 variables. The new LS-SVM model established using the feature variables selected by SPA also had the correct rate of 97%, showing that the selected variables had the most important information for brand identification, while other variables with no useful information were eliminated efficiently. The use of SPA and LS-SVM could not only obtain a high correct identification rate, but also simplify the model calibration and calculation. SPA-LS-SVM model could extract the useful information from the Vis-NIR spectra of car wax rapidly and accurately for the non-destructive brand identification of car wax.

  10. Cars, Cars, Cars

    Science.gov (United States)

    McIntosh, Phyllis

    2013-01-01

    Cars are the focus of this feature article, which explores such topics as the history of cars in the United States, the national highway system, safety and pollution concerns, mobility and freedom for women, classic car shows, and the road trip in American literature and film. Also included are links to the websites of Automobile in American Life…

  11. Automatic Person Identification in Camera Video by Motion Correlation

    Directory of Open Access Journals (Sweden)

    Dingbo Duan

    2014-01-01

    Full Text Available Person identification plays an important role in semantic analysis of video content. This paper presents a novel method to automatically label persons in video sequence captured from fixed camera. Instead of leveraging traditional face recognition approaches, we deal with the task of person identification by fusing information from motion sensor platforms, like smart phones, carried on human bodies and extracted from camera video. More specifically, a sequence of motion features extracted from camera video are compared with each of those collected from accelerometers of smart phones. When strong correlation is detected, identity information transmitted from the corresponding smart phone is used to identify the phone wearer. To test the feasibility and efficiency of the proposed method, extensive experiments are conducted which achieved impressive performance.

  12. Pressure drop – flow characteristic investigations of ATF filter in automatic transmissions (AT of cars

    Directory of Open Access Journals (Sweden)

    Tadeusz Dziubak

    2014-12-01

    Full Text Available [b]Abstract[/b]. Potentials effects of pressure drop-flow characteristics of ATF filter on the hydraulic pumps are discussed. Draft device to investigations pressure drop-flow characteristics of ATF filter used in automatic transmissions constructed based on SAE J2312 standard is presented. Method of investigation pressure drop-flow characteristics of ATF filter used in automatic transmission is presented. The results of investigation pressure drop-flow characteristics Δp = f(QV of two types ATF filter (metal mesh and filter cloth in two technical conditions (at the beginning of the operation and after are presented and analyzed.[b]Keywords[/b]: AT — automatic transmissions, ATF — automatic transmission fluid, ATF filter, pressure drop-flow characteristic

  13. Identification of Hazardous Road Locations on the basis of Floating Car Data

    DEFF Research Database (Denmark)

    Agerholm, Niels; Lahrmann, Harry

    2012-01-01

    A central aspect of road safety work relies on identification of hazardous road locations (HRL). However, the said identification is based on police-reported accidents, which show massive underreporting. Thus, in Denmark, only 14% of the serious injury accidents were reported in 2007, and the pro......A central aspect of road safety work relies on identification of hazardous road locations (HRL). However, the said identification is based on police-reported accidents, which show massive underreporting. Thus, in Denmark, only 14% of the serious injury accidents were reported in 2007...... of deceleration) found in GPS data from driving cars is under development. Other studies have found a connection between serious jerks and conflicts. This paper focuses on a small-scale study based on a distance driven of 38,000 km and 2 million observations. It is found that to be useful for HRL identification...

  14. Channel Access Algorithm Design for Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

    Oh Sang-heon; Kim Seung-pum; Hwang Dong-hwan; Park Chan-sik; Lee Sang-jeong

    2003-01-01

    The Automatic Identification System (AIS) is a maritime equipment to allow an efficient exchange of the navigational data between ships and between ships and shore stations. It utilizes a channel access algorithm which can quickly resolve conflicts without any intervention from control stations. In this paper, a design of channel access algorithm for the AIS is presented. The input/output relationship of each access algorithm module is defined by drawing the state transition diagram, dataflow diagram and flowchart based on the technical standard, ITU-R M.1371. In order to verify the designed channel access algorithm, the simulator was developed using the C/C++ programming language. The results show that the proposed channel access algorithm can properly allocate transmission slots and meet the operational performance requirements specified by the technical standard.

  15. Automatic identification and normalization of dosage forms in drug monographs

    Directory of Open Access Journals (Sweden)

    Li Jiao

    2012-02-01

    Full Text Available Abstract Background Each day, millions of health consumers seek drug-related information on the Web. Despite some efforts in linking related resources, drug information is largely scattered in a wide variety of websites of different quality and credibility. Methods As a step toward providing users with integrated access to multiple trustworthy drug resources, we aim to develop a method capable of identifying drug's dosage form information in addition to drug name recognition. We developed rules and patterns for identifying dosage forms from different sections of full-text drug monographs, and subsequently normalized them to standardized RxNorm dosage forms. Results Our method represents a significant improvement compared with a baseline lookup approach, achieving overall macro-averaged Precision of 80%, Recall of 98%, and F-Measure of 85%. Conclusions We successfully developed an automatic approach for drug dosage form identification, which is critical for building links between different drug-related resources.

  16. Automatic Identification of Antibodies in the Protein Data Bank

    Institute of Scientific and Technical Information of China (English)

    LI Xun; WANG Renxiao

    2009-01-01

    An automatic method has been developed for identifying antibody entries in the protein data bank (PDB). Our method, called KIAb (Keyword-based Identification of Antibodies), parses PDB-format files to search for particular keywords relevant to antibodies, and makes judgment accordingly. Our method identified 780 entries as antibodies on the entire PDB. Among them, 767 entries were confirmed by manual inspection, indicating a high success rate of 98.3%. Our method recovered basically all of the entries compiled in the Summary of Antibody Crystal Structures (SACS) database. It also identified a number of entries missed by SACS. Our method thus provides a more com-plete mining of antibody entries in PDB with a very low false positive rate.

  17. AUTOMATIC LICENSE PLATE LOCALISATION AND IDENTIFICATION VIA SIGNATURE ANALYSIS

    Directory of Open Access Journals (Sweden)

    Lorita Angeline

    2014-02-01

    Full Text Available A new algorithm for license plate localisation and identification is proposed on the basis of Signature analysis. Signature analysis has been used to locate license plate candidate and its properties can be further utilised in supporting and affirming the license plate character recognition. This paper presents Signature Analysis and the improved conventional Connected Component Analysis (CCA to design an automatic license plate localisation and identification. A procedure called Euclidean Distance Transform is added to the conventional CCA in order to tackle the multiple bounding boxes that occurred. The developed algorithm, SAICCA achieved 92% successful rate, with 8% failed localisation rate due to the restrictions such as insufficient light level, clarity and license plate perceptual information. The processing time for a license plate localisation and recognition is a crucial criterion that needs to be concerned. Therefore, this paper has utilised several approaches to decrease the processing time to an optimal value. The results obtained show that the proposed system is capable to be implemented in both ideal and non-ideal environments.

  18. Automatic Identification System modular receiver for academic purposes

    Science.gov (United States)

    Cabrera, F.; Molina, N.; Tichavska, M.; Araña, V.

    2016-07-01

    The Automatic Identification System (AIS) standard is encompassed within the Global Maritime Distress and Safety System (GMDSS), in force since 1999. The GMDSS is a set of procedures, equipment, and communication protocols designed with the aim of increasing the safety of sea crossings, facilitating navigation, and the rescue of vessels in danger. The use of this system not only is increasingly attractive to security issues but also potentially creates intelligence products throughout the added-value information that this network can transmit from ships on real time (identification, position, course, speed, dimensions, flag, among others). Within the marine electronics market, commercial receivers implement this standard and allow users to access vessel-broadcasted information if in the range of coverage. In addition to satellite services, users may request actionable information from private or public AIS terrestrial networks where real-time feed or historical data can be accessed from its nodes. This paper describes the configuration of an AIS receiver based on a modular design. This modular design facilitates the evaluation of specific modules and also a better understanding of the standard and the possibility of changing hardware modules to improve the performance of the prototype. Thus, the aim of this paper is to describe the system's specifications, its main hardware components, and to present educational didactics on the setup and use of a modular and terrestrial AIS receiver. The latter is for academic purposes and in undergraduate studies such as electrical engineering, telecommunications, and maritime studies.

  19. Automatic Language Identification with Discriminative Language Characterization Based on SVM

    Science.gov (United States)

    Suo, Hongbin; Li, Ming; Lu, Ping; Yan, Yonghong

    Robust automatic language identification (LID) is the task of identifying the language from a short utterance spoken by an unknown speaker. The mainstream approaches include parallel phone recognition language modeling (PPRLM), support vector machine (SVM) and the general Gaussian mixture models (GMMs). These systems map the cepstral features of spoken utterances into high level scores by classifiers. In this paper, in order to increase the dimension of the score vector and alleviate the inter-speaker variability within the same language, multiple data groups based on supervised speaker clustering are employed to generate the discriminative language characterization score vectors (DLCSV). The back-end SVM classifiers are used to model the probability distribution of each target language in the DLCSV space. Finally, the output scores of back-end classifiers are calibrated by a pair-wise posterior probability estimation (PPPE) algorithm. The proposed language identification frameworks are evaluated on 2003 NIST Language Recognition Evaluation (LRE) databases and the experiments show that the system described in this paper produces comparable results to the existing systems. Especially, the SVM framework achieves an equal error rate (EER) of 4.0% in the 30-second task and outperforms the state-of-art systems by more than 30% relative error reduction. Besides, the performances of proposed PPRLM and GMMs algorithms achieve an EER of 5.1% and 5.0% respectively.

  20. Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy

    Science.gov (United States)

    Chang, Won-Du; Cha, Ho-Seung; Lee, Chany; Kang, Hoon-Chul; Im, Chang-Hwan

    2016-01-01

    Ictal epileptiform discharges (EDs) are characteristic signal patterns of scalp electroencephalogram (EEG) or intracranial EEG (iEEG) recorded from patients with epilepsy, which assist with the diagnosis and characterization of various types of epilepsy. The EEG signal, however, is often recorded from patients with epilepsy for a long period of time, and thus detection and identification of EDs have been a burden on medical doctors. This paper proposes a new method for automatic identification of two types of EDs, repeated sharp-waves (sharps), and runs of sharp-and-slow-waves (SSWs), which helps to pinpoint epileptogenic foci in secondary generalized epilepsy such as Lennox-Gastaut syndrome (LGS). In the experiments with iEEG data acquired from a patient with LGS, our proposed method detected EDs with an accuracy of 93.76% and classified three different signal patterns with a mean classification accuracy of 87.69%, which was significantly higher than that of a conventional wavelet-based method. Our study shows that it is possible to successfully detect and discriminate sharps and SSWs from background EEG activity using our proposed method. PMID:27379172

  1. Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy

    Directory of Open Access Journals (Sweden)

    Won-Du Chang

    2016-01-01

    Full Text Available Ictal epileptiform discharges (EDs are characteristic signal patterns of scalp electroencephalogram (EEG or intracranial EEG (iEEG recorded from patients with epilepsy, which assist with the diagnosis and characterization of various types of epilepsy. The EEG signal, however, is often recorded from patients with epilepsy for a long period of time, and thus detection and identification of EDs have been a burden on medical doctors. This paper proposes a new method for automatic identification of two types of EDs, repeated sharp-waves (sharps, and runs of sharp-and-slow-waves (SSWs, which helps to pinpoint epileptogenic foci in secondary generalized epilepsy such as Lennox-Gastaut syndrome (LGS. In the experiments with iEEG data acquired from a patient with LGS, our proposed method detected EDs with an accuracy of 93.76% and classified three different signal patterns with a mean classification accuracy of 87.69%, which was significantly higher than that of a conventional wavelet-based method. Our study shows that it is possible to successfully detect and discriminate sharps and SSWs from background EEG activity using our proposed method.

  2. Automatic validation of phosphopeptide identifications from tandem mass spectra.

    Science.gov (United States)

    Lu, Bingwen; Ruse, Cristian; Xu, Tao; Park, Sung Kyu; Yates, John

    2007-02-15

    We developed and compared two approaches for automated validation of phosphopeptide tandem mass spectra identified using database searching algorithms. Phosphopeptide identifications were obtained through SEQUEST searches of a protein database appended with its decoy (reversed sequences). Statistical evaluation and iterative searches were employed to create a high-quality data set of phosphopeptides. Automation of postsearch validation was approached by two different strategies. By using statistical multiple testing, we calculate a p value for each tentative peptide phosphorylation. In a second method, we use a support vector machine (SVM; a machine learning algorithm) binary classifier to predict whether a tentative peptide phosphorylation is true. We show good agreement (85%) between postsearch validation of phosphopeptide/spectrum matches by multiple testing and that from support vector machines. Automatic methods conform very well with manual expert validation in a blinded test. Additionally, the algorithms were tested on the identification of synthetic phosphopeptides. We show that phosphate neutral losses in tandem mass spectra can be used to assess the correctness of phosphopeptide/spectrum matches. An SVM classifier with a radial basis function provided classification accuracy from 95.7% to 96.8% of the positive data set, depending on search algorithm used. Establishing the efficacy of an identification is a necessary step for further postsearch interrogation of the spectra for complete localization of phosphorylation sites. Our current implementation performs validation of phosphoserine/phosphothreonine-containing peptides having one or two phosphorylation sites from data gathered on an ion trap mass spectrometer. The SVM-based algorithm has been implemented in the software package DeBunker. We illustrate the application of the SVM-based software DeBunker on a large phosphorylation data set.

  3. System Identification and Automatic Mass Balancing of Ground-Based Three-Axis Spacecraft Simulator

    Science.gov (United States)

    2006-08-01

    System Identification and Automatic Mass Balancing of Ground-Based Three-Axis Spacecraft Simulator Jae-Jun Kim∗ and Brij N. Agrawal † Department of...TITLE AND SUBTITLE System Identification and Automatic Mass Balancing of Ground-Based Three-Axis Spacecraft Simulator 5a. CONTRACT NUMBER 5b...and Dynamics, Vol. 20, No. 4, July-August 1997, pp. 625-632. 6Schwartz, J. L. and Hall, C. D., “ System Identification of a Spherical Air-Bearing

  4. Salient Feature Identification and Analysis using Kernel-Based Classification Techniques for Synthetic Aperture Radar Automatic Target Recognition

    Science.gov (United States)

    2014-03-27

    SALIENT FEATURE IDENTIFICATION AND ANALYSIS USING KERNEL-BASED CLASSIFICATION TECHNIQUES FOR SYNTHETIC APERTURE RADAR AUTOMATIC TARGET RECOGNITION...FEATURE IDENTIFICATION AND ANALYSIS USING KERNEL-BASED CLASSIFICATION TECHNIQUES FOR SYNTHETIC APERTURE RADAR AUTOMATIC TARGET RECOGNITION THESIS Presented...SALIENT FEATURE IDENTIFICATION AND ANALYSIS USING KERNEL-BASED CLASSIFICATION TECHNIQUES FOR SYNTHETIC APERTURE RADAR AUTOMATIC TARGET RECOGNITION

  5. Automatic 6-speed transmissions for passenger cars - a milestone in powertrain development; Automatische 6-Gang-Getriebe fuer Personenkraftwagen - ein Meilenstein in der Antriebstechnik-Entwicklung

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, G. [ZF Getriebe GmbH, Saarbruecken (Germany)

    2000-07-01

    In order to respond to the demands made on passenger car power train systems regarding reduction of fuel consumption, pollutant and noise emissions, increased performance and drive comfort, corporate product identification and innovative products, an 6-speed automatic transmission for standard use with 8- and 12-cylinder engines was developed. The demands of customers as well as production aspects were taken into account in the development process. Compared with its predecessor, the ZF-6HP26 provides a higher torque capacity, is more compact and 13% lighter. As a result of consistent system and component optimization, the transmission has a reduced number of components, lower transmission losses and increased efficiency. At the same time, functionality regarding reduction of fuel consumption and increase in comfort has been expanded. Fuel consumption simulation for a vehicle with 8-cylinder Otto engine revealed that fuel consumption was cut by 5 to 6% while acceleration was improved by 4%. Consumption tests with prototype transmissions confirmed the computed results. The 6HP26 is worldwide the first 6-speed automatic transmission and a milestone in passenger car transmission technology. (orig.) [German] Um den zukuenftigen Anforderungen an den Pkw-Antrieb hinsichtlich der Reduzierung des Kraftstoffverbrauchs, der Schadstoff- und Geraeuschemissionen, einer Steigerung der Fahrleistung und Erhoehung des Fahrkomforts bei gleichzeitiger Differenzierung zum Wettbewerb durch innovative Produkte gerecht zu werden, wurde ein automatisches 6-Gang-Getriebe fuer den Einsatz im Standardantrieb mit 8- und 12-Zylindermotoren entwickelt. Im bisherigen Entwicklungsprozess fanden sowohl Kundenanforderungen als auch Fertigungsbelange Beruecksichtigung. Verglichen mit dem Vorgaengeraggregat ist das ZF-6HP26 bei gleichzeitig hoeherer Drehmomentkapazitaet kompakter, baut kleiner und ist etwa 13% leichter. Durch konsequente System- und Bauteiloptimierung ist es gelungen, die Anzahl der

  6. Principal Component Analysis and Automatic Relevance Determination in Damage Identification

    CERN Document Server

    Mdlazi, L; Stander, C J; Scheffer, C; Heyns, P S

    2007-01-01

    This paper compares two neural network input selection schemes, the Principal Component Analysis (PCA) and the Automatic Relevance Determination (ARD) based on Mac-Kay's evidence framework. The PCA takes all the input data and projects it onto a lower dimension space, thereby reduc-ing the dimension of the input space. This input reduction method often results with parameters that have significant influence on the dynamics of the data being diluted by those that do not influence the dynamics of the data. The ARD selects the most relevant input parameters and discards those that do not contribute significantly to the dynamics of the data being modelled. The ARD sometimes results with important input parameters being discarded thereby compromising the dynamics of the data. The PCA and ARD methods are implemented together with a Multi-Layer-Perceptron (MLP) network for fault identification in structures and the performance of the two methods is as-sessed. It is observed that ARD and PCA give similar accu-racy le...

  7. Automatic Personal Identification Using Feature Similarity Index Matching

    Directory of Open Access Journals (Sweden)

    R. Gayathri

    2012-01-01

    Full Text Available Problem statement: Biometrics based personal identification is as an effective method for automatically recognizing, a persons identity with high confidence. Palmprint is an essential biometric feature for use in access control and forensic applications. In this study, we present a multi feature extraction, based on edge detection scheme, applying Log Gabor filter to enhance image structures and suppress noise. Approach: A novel Feature-Similarity Indexing (FSIM of image algorithm is used to generate the matching score between the original image in database and the input test image. Feature Similarity (FSIM index for full reference (image quality assurance IQA is proposed based on the fact that Human Visual System (HVS understands an image mainly according to its low-level features. Results and Conclusion: The experimental results achieve recognition accuracy using canny and perwitt FSIM of 97.3227 and 94.718%, respectively, on the publicly available database of Hong Kong Polytechnic University. Totally 500 images of 100 individuals, 4 samples for each palm are randomly selected to train in this research. Then we get every person each palm image as a template (total 100. Experimental evaluation using palmprint image databases clearly demonstrates the efficient recognition performance of the proposed algorithm compared with the conventional palmprint recognition algorithms.

  8. Fundamental study of subharmonic vibration of order 1/2 in automatic transmissions for cars

    Science.gov (United States)

    Ryu, T.; Nakae, T.; Matsuzaki, K.; Nanba, A.; Takikawa, Y.; Ooi, Y.; Sueoka, A.

    2016-09-01

    A torque converter is an element that transfers torque from the engine to the gear train in the automatic transmission of an automobile. The damper spring of the lock-up clutch in the torque converter is used to effectively absorb the torsional vibration caused by engine combustion. A damper with low stiffness reduces fluctuations in rotational speed but is difficult to use because of space limitations. In order to address this problem, the damper is designed using a piecewise-linear spring with three stiffness stages. However, the damper causes a nonlinear vibration referred to as a subharmonic vibration of order 1/2. In the subharmonic vibration, the frequency is half that of the vibrations from the engine. In order to clarify the mechanism of the subharmonic vibration, in the present study, experiments are conducted using the fundamental experimental apparatus of a single-degree-of-freedom system with two stiffness stages. In the experiments, countermeasures to reduce the subharmonic vibration by varying the conditions of the experiments are also performed. The results of the experiments are evaluated through numerical analysis using the shooting method. The experimental and analytical results were found to be in close agreement.

  9. Automatic Language Identification for Romance Languages using Stop Words and Diacritics

    OpenAIRE

    Truică, Ciprian-Octavian; Velcin, Julien; Boicea, Alexandru

    2015-01-01

    International audience; Automatic language identification is a natural language processing problem that tries to determine the natural language of a given content. In this paper we present a statistical method for automatic language identification of written text using dictionaries containing stop words and diacritics. We propose different approaches that combine the two dictionaries to accurately determine the language of textual corpora. This method was chosen because stop words and diacrit...

  10. 基于 PLC的自动运料小车控制系统设计%Design of control system of automatic transporter car based on PLC

    Institute of Scientific and Technical Information of China (English)

    李娟霞; 李红艳; 朱婷; 刘红胜

    2013-01-01

      利用FX2N-32MR作为控制器,设计了运料小车的自动控制系统,对系统的软硬件进行了设计,仿真结果表明该系统可以有效控制运料小车到达预定位置,还可以进行自动装料和卸料,实现无人化操作。%In the paper, design the automatic control system of transporter car using FX 2N -32MR as controller .Design the hardware and software of the system .Simulation results show that this system can effectively control transporter car reaching scheduled position and feeding and unloading automatical -ly.And realize unmanned operation .

  11. A Wireless Framework for Lecturers' Attendance System with Automatic Vehicle Identification (AVI Technology

    Directory of Open Access Journals (Sweden)

    Emammer Khamis Shafter

    2015-10-01

    Full Text Available Automatic Vehicle Identification (AVI technology is one type of Radio Frequency Identification (RFID method which can be used to significantly improve the efficiency of lecturers' attendance system. It provides the capability of automatic data capture for attendance records using mobile device equipped in users’ vehicle. The intent of this article is to propose a framework for automatic lecturers' attendance system using AVI technology. The first objective of this work involves gathering of requirements for Automatic Lecturers' Attendance System and to represent them using UML diagrams. The second objective is to put forward a framework that will provide guidelines for developing the system. A prototype has also been created as a pilot project.

  12. Automatic identification of artifacts in electrodermal activity data.

    Science.gov (United States)

    Taylor, Sara; Jaques, Natasha; Chen, Weixuan; Fedor, Szymon; Sano, Akane; Picard, Rosalind

    2015-01-01

    Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method for detecting artifacts. This paper describes the development of a machine learning algorithm for automatically detecting EDA artifacts, and provides an empirical evaluation of classification performance. We have encoded our results into a freely available web-based tool for artifact and peak detection.

  13. Automatic Identification and Organization of Index Terms for Interactive Browsing.

    Science.gov (United States)

    Wacholder, Nina; Evans, David K.; Klavans, Judith L.

    The potential of automatically generated indexes for information access has been recognized for several decades, but the quantity of text and the ambiguity of natural language processing have made progress at this task more difficult than was originally foreseen. Recently, a body of work on development of interactive systems to support phrase…

  14. Automatic player detection and identification for sports entertainment applications

    NARCIS (Netherlands)

    Mahmood, Zahid; Ali, Tauseef; Khattak, Shadid; Hasan, Laiq; Khan, Samee U.

    2014-01-01

    In this paper, we develop an augmented reality sports broadcasting application for automatic detection, recognition of players during play, followed by display of personal information of players. The proposed application can be divided into four major steps. In first step, each player in the image i

  15. Complete approach to automatic identification and subpixel center location for ellipse feature

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    To meet the need of automatic image features extraction with high precision in visual inspection, a complete approach to automatic identification and sub-pixel center location for similar-ellipse feature is proposed. In the method, the feature area is identified automatically based on the edge attribute, and the sub-pixel center location is accomplished with the leastsquare algorithm. It shows that the method is valid, practical, and has high precision by experiment. Meanwhile this method can meet the need of instrumentation of visual inspection because of easy realization and without man-machine interaction.

  16. Automatic script identification from images using cluster-based templates

    Energy Technology Data Exchange (ETDEWEB)

    Hochberg, J.; Kerns, L.; Kelly, P.; Thomas, T.

    1995-02-01

    We have developed a technique for automatically identifying the script used to generate a document that is stored electronically in bit image form. Our approach differs from previous work in that the distinctions among scripts are discovered by an automatic learning procedure, without any handson analysis. We first develop a set of representative symbols (templates) for each script in our database (Cyrillic, Roman, etc.). We do this by identifying all textual symbols in a set of training documents, scaling each symbol to a fixed size, clustering similar symbols, pruning minor clusters, and finding each cluster`s centroid. To identify a new document`s script, we identify and scale a subset of symbols from the document and compare them to the templates for each script. We choose the script whose templates provide the best match. Our current system distinguishes among the Armenian, Burmese, Chinese, Cyrillic, Ethiopic, Greek, Hebrew, Japanese, Korean, Roman, and Thai scripts with over 90% accuracy.

  17. 3-D Storm Automatic Identification Based on Mathematical Morphology

    Institute of Scientific and Technical Information of China (English)

    HAN Lei; ZHENG Yongguang; WANG Hongqing; LIN Yinjing

    2009-01-01

    The strom identification, tracking, and forecasting method is one of the important nowcasting techniques. Accurate storm identification is a prerequisite for successful storm tracking and forecasting. Storm identi-fication faces two difficulties: one is false merger and the other is failure to isolate adjacent storms within a cluster of storms. The TITAN (Thunderstorm Identification, Tracking, Analysis, and Nowcasting) algo-rithm is apt to identify adjacent storm cells as one storm because it uses a single refiectivity threshold. The SCIT (Storm Cell Identification and Tracking) algorithm uses seven reflectivity thresholds and therefore is capable of isolating adjacent storm cells, but it discards the results identified by the lower threshold, leading to the loss of the internal structure information of storms. Both TITAN and SCIT have the problem of failing to satisfactorily identify false merger. To overcome these shortcomings, this paper proposes a novel approach based on mathematical morphology. The approach first applies the single threshold identification followed by implementing an erosion process to mitigate the false merger problem. During multi-threshold identification stages, dilation operation is performed against the storm cells which are just obtained by the higher threshold identification, until the storm edges touch each other or touch the edges of the previous storms identified by the lower threshold. The results of experiment show that by combining the strengths of the dilation and erosion operations, this approach is able to mitigate the false merger problem as well as maintain the internal structure of sub-storms when isolating storms within a cluster of storms.

  18. Automatic and Direct Identification of Blink Components from Scalp EEG

    Directory of Open Access Journals (Sweden)

    Guojun Dai

    2013-08-01

    Full Text Available Eye blink is an important and inevitable artifact during scalp electroencephalogram (EEG recording. The main problem in EEG signal processing is how to identify eye blink components automatically with independent component analysis (ICA. Taking into account the fact that the eye blink as an external source has a higher sum of correlation with frontal EEG channels than all other sources due to both its location and significant amplitude, in this paper, we proposed a method based on correlation index and the feature of power distribution to automatically detect eye blink components. Furthermore, we prove mathematically that the correlation between independent components and scalp EEG channels can be translating directly from the mixing matrix of ICA. This helps to simplify calculations and understand the implications of the correlation. The proposed method doesn’t need to select a template or thresholds in advance, and it works without simultaneously recording an electrooculography (EOG reference. The experimental results demonstrate that the proposed method can automatically recognize eye blink components with a high accuracy on entire datasets from 15 subjects.

  19. Automatic and direct identification of blink components from scalp EEG.

    Science.gov (United States)

    Kong, Wanzeng; Zhou, Zhanpeng; Hu, Sanqing; Zhang, Jianhai; Babiloni, Fabio; Dai, Guojun

    2013-08-16

    Eye blink is an important and inevitable artifact during scalp electroencephalogram (EEG) recording. The main problem in EEG signal processing is how to identify eye blink components automatically with independent component analysis (ICA). Taking into account the fact that the eye blink as an external source has a higher sum of correlation with frontal EEG channels than all other sources due to both its location and significant amplitude, in this paper, we proposed a method based on correlation index and the feature of power distribution to automatically detect eye blink components. Furthermore, we prove mathematically that the correlation between independent components and scalp EEG channels can be translating directly from the mixing matrix of ICA. This helps to simplify calculations and understand the implications of the correlation. The proposed method doesn't need to select a template or thresholds in advance, and it works without simultaneously recording an electrooculography (EOG) reference. The experimental results demonstrate that the proposed method can automatically recognize eye blink components with a high accuracy on entire datasets from 15 subjects.

  20. An Evaluation of Cellular Neural Networks for the Automatic Identification of Cephalometric Landmarks on Digital Images

    Directory of Open Access Journals (Sweden)

    Rosalia Leonardi

    2009-01-01

    Full Text Available Several efforts have been made to completely automate cephalometric analysis by automatic landmark search. However, accuracy obtained was worse than manual identification in every study. The analogue-to-digital conversion of X-ray has been claimed to be the main problem. Therefore the aim of this investigation was to evaluate the accuracy of the Cellular Neural Networks approach for automatic location of cephalometric landmarks on softcopy of direct digital cephalometric X-rays. Forty-one, direct-digital lateral cephalometric radiographs were obtained by a Siemens Orthophos DS Ceph and were used in this study and 10 landmarks (N, A Point, Ba, Po, Pt, B Point, Pg, PM, UIE, LIE were the object of automatic landmark identification. The mean errors and standard deviations from the best estimate of cephalometric points were calculated for each landmark. Differences in the mean errors of automatic and manual landmarking were compared with a 1-way analysis of variance. The analyses indicated that the differences were very small, and they were found at most within 0.59 mm. Furthermore, only few of these differences were statistically significant, but differences were so small to be in most instances clinically meaningless. Therefore the use of X-ray files with respect to scanned X-ray improved landmark accuracy of automatic detection. Investigations on softcopy of digital cephalometric X-rays, to search more landmarks in order to enable a complete automatic cephalometric analysis, are strongly encouraged.

  1. Automatic Boat Identification System for VIIRS Low Light Imaging Data

    Directory of Open Access Journals (Sweden)

    Christopher D. Elvidge

    2015-03-01

    Full Text Available The ability for satellite sensors to detect lit fishing boats has been known since the 1970s. However, the use of the observations has been limited by the lack of an automatic algorithm for reporting the location and brightness of offshore lighting features arising from boats. An examination of lit fishing boat features in Visible Infrared Imaging Radiometer Suite (VIIRS day/night band (DNB data indicates that the features are essentially spikes. We have developed a set of algorithms for automatic detection of spikes and characterization of the sharpness of spike features. A spike detection algorithm generates a list of candidate boat detections. A second algorithm measures the height of the spikes for the discard of ionospheric energetic particle detections and to rate boat detections as either strong or weak. A sharpness index is used to label boat detections that appear blurry due to the scattering of light by clouds. The candidate spikes are then filtered to remove features on land and gas flares. A validation study conducted using analyst selected boat detections found the automatic algorithm detected 99.3% of the reference pixel set. VIIRS boat detection data can provide fishery agencies with up-to-date information of fishing boat activity and changes in this activity in response to new regulations and enforcement regimes. The data can provide indications of illegal fishing activity in restricted areas and incursions across Exclusive Economic Zone (EEZ boundaries. VIIRS boat detections occur widely offshore from East and Southeast Asia, South America and several other regions.

  2. Pavement crack identification based on automatic threshold iterative method

    Science.gov (United States)

    Lu, Guofeng; Zhao, Qiancheng; Liao, Jianguo; He, Yongbiao

    2017-01-01

    Crack detection is an important issue in concrete infrastructure. Firstly, the accuracy of crack geometry parameters measurement is directly affected by the extraction accuracy, the same as the accuracy of the detection system. Due to the properties of unpredictability, randomness and irregularity, it is difficult to establish recognition model of crack. Secondly, various image noise, caused by irregular lighting conditions, dark spots, freckles and bump, exerts an influence on the crack detection accuracy. Peak threshold selection method is improved in this paper, and the processing of enhancement, smoothing and denoising is conducted before iterative threshold selection, which can complete the automatic selection of the threshold value in real time and stability.

  3. Automatic identification of corrosion damage using image processing techniques

    Energy Technology Data Exchange (ETDEWEB)

    Bento, Mariana P.; Ramalho, Geraldo L.B.; Medeiros, Fatima N.S. de; Ribeiro, Elvis S. [Universidade Federal do Ceara (UFC), Fortaleza, CE (Brazil); Medeiros, Luiz C.L. [Petroleo Brasileiro S.A. (PETROBRAS), Rio de Janeiro, RJ (Brazil)

    2009-07-01

    This paper proposes a Nondestructive Evaluation (NDE) method for atmospheric corrosion detection on metallic surfaces using digital images. In this study, the uniform corrosion is characterized by texture attributes extracted from co-occurrence matrix and the Self Organizing Mapping (SOM) clustering algorithm. We present a technique for automatic inspection of oil and gas storage tanks and pipelines of petrochemical industries without disturbing their properties and performance. Experimental results are promising and encourage the possibility of using this methodology in designing trustful and robust early failure detection systems. (author)

  4. Performance Modelling of Automatic Identification System with Extended Field of View

    DEFF Research Database (Denmark)

    Lauersen, Troels; Mortensen, Hans Peter; Pedersen, Nikolaj Bisgaard

    2010-01-01

    This paper deals with AIS (Automatic Identification System) behavior, to investigate the severity of packet collisions in an extended field of view (FOV). This is an important issue for satellite-based AIS, and the main goal is a feasibility study to find out to what extent an increased FOV...

  5. Automatic diatom identification using contour analysis by morphological curvature scale spaces

    NARCIS (Netherlands)

    Jalba, Andrei C.; Wilkinson, Michael H.F.; Roerdink, Jos B.T.M.; Bayer, Micha M.; Juggins, Stephen

    2005-01-01

    A method for automatic identification of diatoms (single-celled algae with silica shells) based on extraction of features on the contour of the cells by multi-scale mathematical morphology is presented. After extracting the contour of the cell, it is smoothed adaptively, encoded using Freeman chain

  6. Multibody dynamics modelling and system identification of a quarter-car test rig with McPherson strut suspension

    Science.gov (United States)

    Sandu, Corina; Andersen, Erik R.; Southward, Steve

    2011-02-01

    In this paper, we develop a multibody dynamics model of a quarter-car test-rig equipped with a McPherson strut suspension and we apply a system identification technique on it. Constrained equations of motion in the Lagrange multiplier form are derived and employed to characterise the dynamic behaviour of the test rig modelled once as a linear system and once as a non-linear system. The system of differential algebraic equations is integrated using a Hilber-Hughes-Taylor integrator. The responses of both models (linear and non-linear) to a given displacement input are obtained and compared with the experimental response recorded using the physical quarter-car test rig equipped with a McPherson strut suspension. The system identification is performed for control purposes. The results, as well as the performance and area of applicability of the test rig models derived, are discussed.

  7. Identification of chemical modulators of the constitutive activated receptor (CAR) in a gene expression compendium

    OpenAIRE

    Oshida, Keiyu; Vasani, Naresh; Jones, Carlton; Moore, Tanya; Hester, Susan; Nesnow, Stephen; Auerbach, Scott; Geter, David R.; Aleksunes, Lauren M; Thomas, Russell S.; Applegate, Dawn; Klaassen, Curtis D.; Corton, J. Christopher

    2015-01-01

    The nuclear receptor family member constitutive activated receptor (CAR) is activated by structurally diverse drugs and environmentally-relevant chemicals leading to transcriptional regulation of genes involved in xenobiotic metabolism and transport. Chronic activation of CAR increases liver cancer incidence in rodents, whereas suppression of CAR can lead to steatosis and insulin insensitivity. Here, analytical methods were developed to screen for chemical treatments in a gene expression comp...

  8. Defect Automatic Identification of Eddy Current Pulsed Thermography

    Directory of Open Access Journals (Sweden)

    Kai Chen

    2014-01-01

    Full Text Available Eddy current pulsed thermography (ECPT is an effective nondestructive testing and evaluation (NDT&E technique, and has been applied for a wide range of conductive materials. Manual selected frames have been used for defects detection and quantification. Defects are indicated by high/low temperature in the frames. However, the variation of surface emissivity sometimes introduces illusory temperature inhomogeneity and results in false alarm. To improve the probability of detection, this paper proposes a two-heat balance states-based method which can restrain the influence of the emissivity. In addition, the independent component analysis (ICA is also applied to automatically identify defect patterns and quantify the defects. An experiment was carried out to validate the proposed methods.

  9. Automatic identification of model reductions for discrete stochastic simulation

    Science.gov (United States)

    Wu, Sheng; Fu, Jin; Li, Hong; Petzold, Linda

    2012-07-01

    Multiple time scales in cellular chemical reaction systems present a challenge for the efficiency of stochastic simulation. Numerous model reductions have been proposed to accelerate the simulation of chemically reacting systems by exploiting time scale separation. However, these are often identified and deployed manually, requiring expert knowledge. This is time-consuming, prone to error, and opportunities for model reduction may be missed, particularly for large models. We propose an automatic model analysis algorithm using an adaptively weighted Petri net to dynamically identify opportunities for model reductions for both the stochastic simulation algorithm and tau-leaping simulation, with no requirement of expert knowledge input. Results are presented to demonstrate the utility and effectiveness of this approach.

  10. Investigation of Ballistic Evidence through an Automatic Image Analysis and Identification System.

    Science.gov (United States)

    Kara, Ilker

    2016-05-01

    Automated firearms identification (AFI) systems contribute to shedding light on criminal events by comparison between different pieces of evidence on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. Ballistic evidence can be rapidly analyzed and classified by means of an automatic image analysis and identification system. In addition, it can be used to narrow the range of possible matching evidence. In this study conducted on the cartridges ejected from the examined pistol, three imaging areas, namely the firing pin impression, capsule traces, and the intersection of these traces, were compared automatically using the image analysis and identification system through the correlation ranking method to determine the numeric values that indicate the significance of the similarities. These numerical features that signify the similarities and differences between pistol makes and models can be used in groupings to make a distinction between makes and models of pistols.

  11. Sensitivity Based Segmentation and Identification in Automatic Speech Recognition.

    Science.gov (United States)

    1984-03-30

    by a network constructed from phonemic, phonetic , and phonological rules. Regardless of the speech processing system used, Klatt 1 2 has described...analysis, and its use in the segmentation and identification of the phonetic units of speech, that was initiated during the 1982 Summer Faculty Research...practicable framework for incorporation of acoustic- phonetic variance as well as time and talker normalization. XOI iF- ? ’:: .:- .- . . l ] 2 D

  12. Using Automatic Identification System Technology to Improve Maritime Border Security

    Science.gov (United States)

    2014-12-01

    passengers for hire; • High-speed passenger vessels with 12 or more passengers for hire; • Certain dredges and floating plants ; • Vessels moving...requirement did not apply to private visiting vessels.51 The Mexican government has also taken steps to improve identification requirements of vessels in...government of Mexico to “locate and identify (in real time) any small vessels cruising Mexican National waters.”53 As of June 2014, the Mexican

  13. Automatic Identification of Systolic Time Intervals in Seismocardiogram

    Science.gov (United States)

    Shafiq, Ghufran; Tatinati, Sivanagaraja; Ang, Wei Tech; Veluvolu, Kalyana C.

    2016-11-01

    Continuous and non-invasive monitoring of hemodynamic parameters through unobtrusive wearable sensors can potentially aid in early detection of cardiac abnormalities, and provides a viable solution for long-term follow-up of patients with chronic cardiovascular diseases without disrupting the daily life activities. Electrocardiogram (ECG) and siesmocardiogram (SCG) signals can be readily acquired from light-weight electrodes and accelerometers respectively, which can be employed to derive systolic time intervals (STI). For this purpose, automated and accurate annotation of the relevant peaks in these signals is required, which is challenging due to the inter-subject morphological variability and noise prone nature of SCG signal. In this paper, an approach is proposed to automatically annotate the desired peaks in SCG signal that are related to STI by utilizing the information of peak detected in the sliding template to narrow-down the search for the desired peak in actual SCG signal. Experimental validation of this approach performed in conventional/controlled supine and realistic/challenging seated conditions, containing over 5600 heart beat cycles shows good performance and robustness of the proposed approach in noisy conditions. Automated measurement of STI in wearable configuration can provide a quantified cardiac health index for long-term monitoring of patients, elderly people at risk and health-enthusiasts.

  14. A multi-algorithm-based automatic person identification system

    Science.gov (United States)

    Monwar, Md. Maruf; Gavrilova, Marina

    2010-04-01

    Multimodal biometric is an emerging area of research that aims at increasing the reliability of biometric systems through utilizing more than one biometric in decision-making process. In this work, we develop a multi-algorithm based multimodal biometric system utilizing face and ear features and rank and decision fusion approach. We use multilayer perceptron network and fisherimage approaches for individual face and ear recognition. After face and ear recognition, we integrate the results of the two face matchers using rank level fusion approach. We experiment with highest rank method, Borda count method, logistic regression method and Markov chain method of rank level fusion approach. Due to the better recognition performance we employ Markov chain approach to combine face decisions. Similarly, we get combined ear decision. These two decisions are combined for final identification decision. We try with 'AND'/'OR' rule, majority voting rule and weighted majority voting rule of decision fusion approach. From the experiment results, we observed that weighted majority voting rule works better than any other decision fusion approaches and hence, we incorporate this fusion approach for the final identification decision. The final results indicate that using multi algorithm based can certainly improve the recognition performance of multibiometric systems.

  15. Perspective of the applications of automatic identification technologies in the Serbian Army

    Directory of Open Access Journals (Sweden)

    Velibor V. Jovanović

    2012-07-01

    Full Text Available Without modern information systems, supply-chain management is almost impossible. Automatic identification technologies provide automated data processing, which contributes to improving the conditions and support decision making. Automatic identification technology media, notably BARCODE and RFID technology, are used as carriers of labels with high quality data and adequate description of material means, for providing a crucial visibility of inventory levels through the supply chain. With these media and the use of an adequate information system, the Ministry of Defense of the Republic of Serbia will be able to establish a system of codification and, in accordance with the NATO codification system, to successfully implement a unique codification, classification and determination of storage numbers for all tools, components and spare parts for their unequivocal identification. In the perspective, this will help end users to perform everyday tasks without compromising the material integrity of security data. It will also help command structures to have reliable information for decision making to ensure optimal management. Products and services that pass the codification procedure will have the opportunity to be offered in the largest market of armament and military equipment. This paper gives a comparative analysis of two automatic identification technologies - BARCODE, the most common one, and RFID, the most advanced one - with an emphasis on the advantages and disadvantages of their use in tracking inventory through the supply chain. Their possible application in the Serbian Army is discussed in general.

  16. Online automatic identification of the modal parameters of a long span arch bridge

    Science.gov (United States)

    Magalhães, Filipe; Cunha, Álvaro; Caetano, Elsa

    2009-02-01

    The "Infante D. Henrique" bridge is a concrete arch bridge, with a span of 280 m that crosses the Douro River, linking the cities of Porto and Gaia located in the North of Portugal. This structure is being monitored by a recently installed dynamic monitoring system that comprises 12 acceleration channels. This paper describes the bridge structure, its dynamic parameters identified with a previously developed ambient vibration test, the installed monitoring equipment and the software that continuously processes the data received from the bridge through an Internet connection. Special emphasis is given to the algorithms that have been developed and implemented to perform the online automatic identification of the structure modal parameters from its measured responses during normal operation. The proposed methodology uses the covariance driven stochastic subspace identification method (SSI-COV), which is then complemented by a new algorithm developed for the automatic analysis of stabilization diagrams. This new tool, based on a hierarchical clustering algorithm, proved to be very efficient on the identification of the bridge first 12 modes. The results achieved during 2 months of observation, which involved the analysis of more than 2500 datasets, are presented in detail. It is demonstrated that with the combination of high-quality equipment and powerful identification algorithms, it is possible to estimate, in an automatic manner, accurate modal parameters for several modes. These can then be used as inputs for damage detection algorithms.

  17. Managing Returnable Containers Logistics - A Case Study Part II - Improving Visibility through Using Automatic Identification Technologies

    Directory of Open Access Journals (Sweden)

    Gretchen Meiser

    2011-05-01

    Full Text Available This case study is the result of a project conducted on behalf of a company that uses its own returnable containers to transport purchased parts from suppliers. The objective of this project was to develop a proposal to enable the company to more effectively track and manage its returnable containers. The research activities in support of this project included (1 the analysis and documentation of the physical flow and the information flow associated with the containers and (2 the investigation of new technologies to improve the automatic identification and tracking of containers. This paper explains the automatic identification technologies and important criteria for selection. A companion paper details the flow of information and containers within the logistics chain, and it identifies areas for improving the management of the containers.

  18. Semi-automatic identification photo generation with facial pose and illumination normalization

    Science.gov (United States)

    Jiang, Bo; Liu, Sijiang; Wu, Song

    2016-07-01

    Identification photo is a category of facial image that has strict requirements on image quality like size, illumination, user expression, dressing, etc. Traditionally, these photos are taken in professional studios. With the rapid popularity of mobile devices, how to conveniently take identification photo at any time and anywhere with such devices is an interesting problem. In this paper, we propose a novel semi-automatic identification photo generation approach. Given a user image, facial pose and expression are first normalized to meet the basic requirements. To correct uneven lighting condition in photo, an facial illumination normalization approach is adopted to further improve the image quality. Finally, foreground user is extracted and re-targeted to a specific photo size. Besides, background can also be changed as required. Preliminary experimental results show that the proposed method is efficient and effective in identification photo generation compared to commercial software based manual tunning.

  19. Automatic Identification of Tomato Maturation Using Multilayer Feed Forward Neural Network with Genetic Algorithms (GA)

    Institute of Scientific and Technical Information of China (English)

    FANG Jun-long; ZHANG Chang-li; WANG Shu-wen

    2004-01-01

    We set up computer vision system for tomato images. By using this system, the RGB value of tomato image was converted into HIS value whose H was used to acquire the color character of the surface of tomato. To use multilayer feed forward neural network with GA can finish automatic identification of tomato maturation. The results of experiment showed that the accuracy was upto 94%.

  20. 智能小车自动纠偏与避撞的实现%Intelligent car automatic correction and avoid bump

    Institute of Scientific and Technical Information of China (English)

    张俊; 周晖; 王超; 徐荣华; 孙小磊; 朱松盛

    2012-01-01

    This thesis uses the MSP430F149 as the master chip. The car by ultrasonic ranging module, turning line inspection module, Automatic correction detection module, motor driver module, etc.Mainly to the course of driving three of this paper puts forward three algorithm, it is respectively second correction algorithm, the straight corners correction algorithm and overtake algorithm. Realize the intelligence of autonomous car driving and overtake.%文中采用MSP430F149作为主控芯片,由超声测距模块、转弯线检测模块、自动纠偏检测模块、电机驱动模块等构成小车。主要对行驶过程中3种情况提出了3种算法,分别是直道二次纠偏算法、弯道纠偏算法和超车算法。实现了智能小车的自主行驶和超车。

  1. FAST CARS Developing a Laser Spectroscopic Technique for Rapid Identification of Bacterial Spores

    CERN Document Server

    Scully, M O; Lucht, R P; Opatrny, T; Pilloff, H; Rebane, A; Sokolov, A V; Zubairy, M S

    2002-01-01

    Airborne contaminants, e.g., bacterial spores, are usually analyzed by time consuming microscopic, chemical and biological assays. Current research into real time laser spectroscopic detectors of such contaminants is based on e.g. resonant Raman spectroscopy. The present approach derives from recent experiments in which atoms and molecules are prepared by one (or more) coherent laser(s) and probed by another set of lasers. The connection with previous studies based on "Coherent Anti-Stokes Raman Spectroscopy" (CARS) is to be noted. However generating and utilizing maximally coherent oscillation in macromolecules having an enormous number of degrees of freedom is much more challenging. This extension of the CARS technique is called FAST CARS (Femtosecond Adaptive Spectroscopic Techniques for Coherent Anti-Stokes Raman Spectroscopy), and the present paper proposes and analyses ways in which it could be used to rapidly identify pre-selected molecules in real time.

  2. Towards an automatic spectral and modal identification from operational modal analysis

    Science.gov (United States)

    Vu, V. H.; Thomas, M.; Lafleur, F.; Marcouiller, L.

    2013-01-01

    A method is developed for the automatic identification of the spectrum and modal parameters of an operational modal analysis using multi sensors. A multivariate autoregressive model is presented, and its parameters are estimated by least squares via the implementation of QR factorization. A noise-independent minimum model order, from which all available physical modes may be identified, is developed. This so-called optimal model order is selected from the convergence of a global order-wise signal-to-noise ratio index. At this model order or higher, the modes are classified based on a decreasing damped modal signal-to-noise (DMSN) criterion. This decreasing order classification allows for easy identification of all the physical modes. A significant change in the DMSN index enables the determination of the number of physical modes in a specific frequency range, and thus, an automatic procedure for identifying the modal parameters can be developed to discriminate harmonic and natural frequencies from spurious ones. Furthermore, a multispectral matrix can be constructed from selected frequencies by introducing a powered amplification factor, which provides a smooth, balanced, noise-free spectrum with all main peaks. The proposed method has been performed on simulated multi-degree-of-freedom systems, on a laboratory test bench, and on an industrial operating high power hydro-electric generator offering the potential for automatic operational modal analysis and structural health monitoring.

  3. Ultrasonic Ranging Car Automatic Transmission System%超声波小车自动测距变速系统

    Institute of Scientific and Technical Information of China (English)

    赵欣哲; 杨培培; 刘文凯

    2014-01-01

    The design uses STC12C5A60S2 microcontroller as the core controller,using the ultrasonic ranging sensor range data,using IO trigger location,providing about high level signal,using 25us formula:test distance=(high level time * speed of sound(340M/S))/2 to calculate the distance,the L298N driver module using PWM drive circuit,so as to realize the automatic an alarm automatically adjust vehicle speed,accessibility.%本设计采用STC12C5A60S2单片机为核心控制器,用超声波测距传感器采集距离数据,采用IO触发测距,提供约为25 us的高电平信号,利用公式:测试距离=(高电平时间*声速(340 m/s))/2来计算距离,采用L298N 驱动模块利用PWM驱动电路,从而实现自动调节小车速度、无障碍时自动发出警报的功能。

  4. An Automatic Identification Procedure to Promote the use of FES-Cycling Training for Hemiparetic Patients

    Directory of Open Access Journals (Sweden)

    Emilia Ambrosini

    2014-01-01

    Full Text Available Cycling induced by Functional Electrical Stimulation (FES training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.

  5. An automatic identification procedure to promote the use of FES-cycling training for hemiparetic patients.

    Science.gov (United States)

    Ambrosini, Emilia; Ferrante, Simona; Schauer, Thomas; Ferrigno, Giancarlo; Molteni, Franco; Pedrocchi, Alessandra

    2014-01-01

    Cycling induced by Functional Electrical Stimulation (FES) training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury) were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.

  6. Automatic identification of bullet signatures based on consecutive matching striae (CMS) criteria.

    Science.gov (United States)

    Chu, Wei; Thompson, Robert M; Song, John; Vorburger, Theodore V

    2013-09-10

    The consecutive matching striae (CMS) numeric criteria for firearm and toolmark identifications have been widely accepted by forensic examiners, although there have been questions concerning its observer subjectivity and limited statistical support. In this paper, based on signal processing and extraction, a model for the automatic and objective counting of CMS is proposed. The position and shape information of the striae on the bullet land is represented by a feature profile, which is used for determining the CMS number automatically. Rapid counting of CMS number provides a basis for ballistics correlations with large databases and further statistical and probability analysis. Experimental results in this report using bullets fired from ten consecutively manufactured barrels support this developed model.

  7. A new approach to the automatic identification of organism evolution using neural networks.

    Science.gov (United States)

    Kasperski, Andrzej; Kasperska, Renata

    2016-01-01

    Automatic identification of organism evolution still remains a challenging task, which is especially exiting, when the evolution of human is considered. The main aim of this work is to present a new idea to allow organism evolution analysis using neural networks. Here we show that it is possible to identify evolution of any organisms in a fully automatic way using the designed EvolutionXXI program, which contains implemented neural network. The neural network has been taught using cytochrome b sequences of selected organisms. Then, analyses have been carried out for the various exemplary organisms in order to demonstrate capabilities of the EvolutionXXI program. It is shown that the presented idea allows supporting existing hypotheses, concerning evolutionary relationships between selected organisms, among others, Sirenia and elephants, hippopotami and whales, scorpions and spiders, dolphins and whales. Moreover, primate (including human), tree shrew and yeast evolution has been reconstructed.

  8. Identification of mycobacterium tuberculosis in sputum smear slide using automatic scanning microscope

    Science.gov (United States)

    Rulaningtyas, Riries; Suksmono, Andriyan B.; Mengko, Tati L. R.; Saptawati, Putri

    2015-04-01

    Sputum smear observation has an important role in tuberculosis (TB) disease diagnosis, because it needs accurate identification to avoid high errors diagnosis. In development countries, sputum smear slide observation is commonly done with conventional light microscope from Ziehl-Neelsen stained tissue and it doesn't need high cost to maintain the microscope. The clinicians do manual screening process for sputum smear slide which is time consuming and needs highly training to detect the presence of TB bacilli (mycobacterium tuberculosis) accurately, especially for negative slide and slide with less number of TB bacilli. For helping the clinicians, we propose automatic scanning microscope with automatic identification of TB bacilli. The designed system modified the field movement of light microscope with stepper motor which was controlled by microcontroller. Every sputum smear field was captured by camera. After that some image processing techniques were done for the sputum smear images. The color threshold was used for background subtraction with hue canal in HSV color space. Sobel edge detection algorithm was used for TB bacilli image segmentation. We used feature extraction based on shape for bacilli analyzing and then neural network classified TB bacilli or not. The results indicated identification of TB bacilli that we have done worked well and detected TB bacilli accurately in sputum smear slide with normal staining, but not worked well in over staining and less staining tissue slide. However, overall the designed system can help the clinicians in sputum smear observation becomes more easily.

  9. Automatic Identification of Subtechniques in Skating-Style Roller Skiing Using Inertial Sensors

    Directory of Open Access Journals (Sweden)

    Yoshihisa Sakurai

    2016-04-01

    Full Text Available This study aims to develop and validate an automated system for identifying skating-style cross-country subtechniques using inertial sensors. In the first experiment, the performance of a male cross-country skier was used to develop an automated identification system. In the second, eight male and seven female college cross-country skiers participated to validate the developed identification system. Each subject wore inertial sensors on both wrists and both roller skis, and a small video camera on a backpack. All subjects skied through a 3450 m roller ski course using a skating style at their maximum speed. The adopted subtechniques were identified by the automated method based on the data obtained from the sensors, as well as by visual observations from a video recording of the same ski run. The system correctly identified 6418 subtechniques from a total of 6768 cycles, which indicates an accuracy of 94.8%. The precisions of the automatic system for identifying the V1R, V1L, V2R, V2L, V2AR, and V2AL subtechniques were 87.6%, 87.0%, 97.5%, 97.8%, 92.1%, and 92.0%, respectively. Most incorrect identification cases occurred during a subtechnique identification that included a transition and turn event. Identification accuracy can be improved by separately identifying transition and turn events. This system could be used to evaluate each skier’s subtechniques in course conditions.

  10. Automatic Identification of Subtechniques in Skating-Style Roller Skiing Using Inertial Sensors.

    Science.gov (United States)

    Sakurai, Yoshihisa; Fujita, Zenya; Ishige, Yusuke

    2016-04-02

    This study aims to develop and validate an automated system for identifying skating-style cross-country subtechniques using inertial sensors. In the first experiment, the performance of a male cross-country skier was used to develop an automated identification system. In the second, eight male and seven female college cross-country skiers participated to validate the developed identification system. Each subject wore inertial sensors on both wrists and both roller skis, and a small video camera on a backpack. All subjects skied through a 3450 m roller ski course using a skating style at their maximum speed. The adopted subtechniques were identified by the automated method based on the data obtained from the sensors, as well as by visual observations from a video recording of the same ski run. The system correctly identified 6418 subtechniques from a total of 6768 cycles, which indicates an accuracy of 94.8%. The precisions of the automatic system for identifying the V1R, V1L, V2R, V2L, V2AR, and V2AL subtechniques were 87.6%, 87.0%, 97.5%, 97.8%, 92.1%, and 92.0%, respectively. Most incorrect identification cases occurred during a subtechnique identification that included a transition and turn event. Identification accuracy can be improved by separately identifying transition and turn events. This system could be used to evaluate each skier's subtechniques in course conditions.

  11. Automatic Identification of Axis Orbit Based on Both Wavelet Moment Invariants and Neural Network

    Institute of Scientific and Technical Information of China (English)

    FuXiang-qian; LiuGuang-lin; JiangJing; LiYou-ping

    2003-01-01

    Axis orbit is an important characteristic to be used in the condition monitoring and diagnosis system of rotating machine. The wavelet moment has the invariant to the translation, scaling and rotation. A method, which uses a neural network based on Radial Basis Function (RBF) and wavelet moment invariants to identify the orbit of shaft centerline of rotating machine is discussed in this paper. The principle and its application procedure of the method are introduced in detail. It gives simulation results of automatic identification for three typical axis orbits. It is proved that the method is effective and practicable.

  12. Automatic Identification of Axis Orbit Based on Both Wavelet Moment Invariants and Neural Network

    Institute of Scientific and Technical Information of China (English)

    Fu Xiang-qian; Liu Guang-lin; Jiang Jing; Li You-ping

    2003-01-01

    Axis orbit is an important characteristic to be used in the condition monitoring and diagnosis system of rota-ting machine. The wavelet moment has the invariant to the translation, scaling and rotation. A method, which uses a neural network based on Radial Basis Function (RBF) and wavelet moment invariants to identify the orbit of shaft centerline of rotating machine is discussed in this paper. The principle and its application procedure of the method are intro-duced in detail. It gives simulation results of automatic identi-fication for three typical axis orbits. It is proved that the method is effective and practicable.

  13. Automatic classification and speaker identification of African elephant (Loxodonta africana) vocalizations

    Science.gov (United States)

    Clemins, Patrick J.; Johnson, Michael T.; Leong, Kirsten M.; Savage, Anne

    2005-02-01

    A hidden Markov model (HMM) system is presented for automatically classifying African elephant vocalizations. The development of the system is motivated by successful models from human speech analysis and recognition. Classification features include frequency-shifted Mel-frequency cepstral coefficients (MFCCs) and log energy, spectrally motivated features which are commonly used in human speech processing. Experiments, including vocalization type classification and speaker identification, are performed on vocalizations collected from captive elephants in a naturalistic environment. The system classified vocalizations with accuracies of 94.3% and 82.5% for type classification and speaker identification classification experiments, respectively. Classification accuracy, statistical significance tests on the model parameters, and qualitative analysis support the effectiveness and robustness of this approach for vocalization analysis in nonhuman species. .

  14. Nonlinear Modeling of Azimuth Error for 2D Car Navigation Using Parallel Cascade Identification Augmented with Kalman Filtering

    Directory of Open Access Journals (Sweden)

    Umar Iqbal

    2010-01-01

    Full Text Available Present land vehicle navigation relies mostly on the Global Positioning System (GPS that may be interrupted or deteriorated in urban areas. In order to obtain continuous positioning services in all environments, GPS can be integrated with inertial sensors and vehicle odometer using Kalman filtering (KF. For car navigation, low-cost positioning solutions based on MEMS-based inertial sensors are utilized. To further reduce the cost, a reduced inertial sensor system (RISS consisting of only one gyroscope and speed measurement (obtained from the car odometer is integrated with GPS. The MEMS-based gyroscope measurement deteriorates over time due to different errors like the bias drift. These errors may lead to large azimuth errors and mitigating the azimuth errors requires robust modeling of both linear and nonlinear effects. Therefore, this paper presents a solution based on Parallel Cascade Identification (PCI module that models the azimuth errors and is augmented to KF. The proposed augmented KF-PCI method can handle both linear and nonlinear system errors as the linear parts of the errors are modeled inside the KF and the nonlinear and residual parts of the azimuth errors are modeled by PCI. The performance of this method is examined using road test experiments in a land vehicle.

  15. Deep learning for automatic localization, identification, and segmentation of vertebral bodies in volumetric MR images

    Science.gov (United States)

    Suzani, Amin; Rasoulian, Abtin; Seitel, Alexander; Fels, Sidney; Rohling, Robert N.; Abolmaesumi, Purang

    2015-03-01

    This paper proposes an automatic method for vertebra localization, labeling, and segmentation in multi-slice Magnetic Resonance (MR) images. Prior work in this area on MR images mostly requires user interaction while our method is fully automatic. Cubic intensity-based features are extracted from image voxels. A deep learning approach is used for simultaneous localization and identification of vertebrae. The localized points are refined by local thresholding in the region of the detected vertebral column. Thereafter, a statistical multi-vertebrae model is initialized on the localized vertebrae. An iterative Expectation Maximization technique is used to register the vertebral body of the model to the image edges and obtain a segmentation of the lumbar vertebral bodies. The method is evaluated by applying to nine volumetric MR images of the spine. The results demonstrate 100% vertebra identification and a mean surface error of below 2.8 mm for 3D segmentation. Computation time is less than three minutes per high-resolution volumetric image.

  16. Automatic Identification of Critical Data Items in a Database to Mitigate the Effects of Malicious Insiders

    Science.gov (United States)

    White, Jonathan; Panda, Brajendra

    A major concern for computer system security is the threat from malicious insiders who target and abuse critical data items in the system. In this paper, we propose a solution to enable automatic identification of critical data items in a database by way of data dependency relationships. This identification of critical data items is necessary because insider threats often target mission critical data in order to accomplish malicious tasks. Unfortunately, currently available systems fail to address this problem in a comprehensive manner. It is more difficult for non-experts to identify these critical data items because of their lack of familiarity and due to the fact that data systems are constantly changing. By identifying the critical data items automatically, security engineers will be better prepared to protect what is critical to the mission of the organization and also have the ability to focus their security efforts on these critical data items. We have developed an algorithm that scans the database logs and forms a directed graph showing which items influence a large number of other items and at what frequency this influence occurs. This graph is traversed to reveal the data items which have a large influence throughout the database system by using a novel metric based formula. These items are critical to the system because if they are maliciously altered or stolen, the malicious alterations will spread throughout the system, delaying recovery and causing a much more malignant effect. As these items have significant influence, they are deemed to be critical and worthy of extra security measures. Our proposal is not intended to replace existing intrusion detection systems, but rather is intended to complement current and future technologies. Our proposal has never been performed before, and our experimental results have shown that it is very effective in revealing critical data items automatically.

  17. Car Detection Method Study in Full Automatic Truck Sampling System%全自动汽车采样系统中对车厢探测的方法研究

    Institute of Scientific and Technical Information of China (English)

    祝培

    2013-01-01

    This paper introduces three common methods to detect the planimetric position of the truck car in sampling area for the full automatic sampling system, it provids powerful guarantee for the control technology of full automatic sampling system.%本文详细介绍了在全自动汽车采样系统中常见的三种自动检测停靠在采样区内汽车车厢的平面位置.为实现全自动采样机控制技术提供有力保障.

  18. Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents

    Directory of Open Access Journals (Sweden)

    Ferrández Oscar

    2012-07-01

    Full Text Available Abstract Background The increased use and adoption of Electronic Health Records (EHR causes a tremendous growth in digital information useful for clinicians, researchers and many other operational purposes. However, this information is rich in Protected Health Information (PHI, which severely restricts its access and possible uses. A number of investigators have developed methods for automatically de-identifying EHR documents by removing PHI, as specified in the Health Insurance Portability and Accountability Act “Safe Harbor” method. This study focuses on the evaluation of existing automated text de-identification methods and tools, as applied to Veterans Health Administration (VHA clinical documents, to assess which methods perform better with each category of PHI found in our clinical notes; and when new methods are needed to improve performance. Methods We installed and evaluated five text de-identification systems “out-of-the-box” using a corpus of VHA clinical documents. The systems based on machine learning methods were trained with the 2006 i2b2 de-identification corpora and evaluated with our VHA corpus, and also evaluated with a ten-fold cross-validation experiment using our VHA corpus. We counted exact, partial, and fully contained matches with reference annotations, considering each PHI type separately, or only one unique ‘PHI’ category. Performance of the systems was assessed using recall (equivalent to sensitivity and precision (equivalent to positive predictive value metrics, as well as the F2-measure. Results Overall, systems based on rules and pattern matching achieved better recall, and precision was always better with systems based on machine learning approaches. The highest “out-of-the-box” F2-measure was 67% for partial matches; the best precision and recall were 95% and 78%, respectively. Finally, the ten-fold cross validation experiment allowed for an increase of the F2-measure to 79% with partial matches

  19. 黄骅港翻车机自动给料编程实现方法%Implementation methods of automatic feeding programming for car dumper in huanghua port

    Institute of Scientific and Technical Information of China (English)

    关群

    2012-01-01

    黄骅港正在实现翻车机与堆料机整条生产线的自动化,最主要的瓶颈是翻车机给料的自动化,给料自动化的关键是软件编程,介绍用动态查找法与分系数调节漏斗法实现翻车机漏斗自动给料.%Automation of the whole- production linr for car dumper and stacker is being implemented in Huanghua Port, where the main bottle neck in the feeding automation of the car dumper, and the key to which is software programming. The paper introduces dynamic searching method and individual coefficient funnel adjustment method to realize automatic feeding of the car dumper.

  20. Semi-automatic charge and mass identification in two-dimensional matrices

    CERN Document Server

    Gruyer, Diego; Chbihi, A; Frankland, J D; Barlini, S; Borderie, B; Bougault, R; Duenas, J A; Neindre, N Le; Lopez, O; Pastore, G; Piantelli, S; Valdre, S; Verde, G; Vient, E

    2016-01-01

    This article presents a new semi-automatic method for charge and mass identification in two-dimensional matrices. The proposed algorithm is based on the matrix's properties and uses as little information as possible on the global form of the iden tification lines, making it applicable to a large variety of matrices, including various $\\Delta$E-E correlations, or those coming from Pulse Shape Analysis of the charge signal in silicon detectors. Particular attention has been paid to the implementation in a suitable graphical environment, so that only two mouse-clicks are required from the user to calculate all initialization parameters. Example applications to recent data from both INDRA and FAZIA telescopes are presented.

  1. A support vector machine approach to the automatic identification of fluorescence spectra emitted by biological agents

    Science.gov (United States)

    Gelfusa, M.; Murari, A.; Lungaroni, M.; Malizia, A.; Parracino, S.; Peluso, E.; Cenciarelli, O.; Carestia, M.; Pizzoferrato, R.; Vega, J.; Gaudio, P.

    2016-10-01

    Two of the major new concerns of modern societies are biosecurity and biosafety. Several biological agents (BAs) such as toxins, bacteria, viruses, fungi and parasites are able to cause damage to living systems either humans, animals or plants. Optical techniques, in particular LIght Detection And Ranging (LIDAR), based on the transmission of laser pulses and analysis of the return signals, can be successfully applied to monitoring the release of biological agents into the atmosphere. It is well known that most of biological agents tend to emit specific fluorescence spectra, which in principle allow their detection and identification, if excited by light of the appropriate wavelength. For these reasons, the detection of the UVLight Induced Fluorescence (UV-LIF) emitted by BAs is particularly promising. On the other hand, the stand-off detection of BAs poses a series of challenging issues; one of the most severe is the automatic discrimination between various agents which emit very similar fluorescence spectra. In this paper, a new data analysis method, based on a combination of advanced filtering techniques and Support Vector Machines, is described. The proposed approach covers all the aspects of the data analysis process, from filtering and denoising to automatic recognition of the agents. A systematic series of numerical tests has been performed to assess the potential and limits of the proposed methodology. The first investigations of experimental data have already given very encouraging results.

  2. Identification of forensic samples by using an infrared-based automatic DNA sequencer.

    Science.gov (United States)

    Ricci, Ugo; Sani, Ilaria; Klintschar, Michael; Cerri, Nicoletta; De Ferrari, Francesco; Giovannucci Uzielli, Maria Luisa

    2003-06-01

    We have recently introduced a new protocol for analyzing all core loci of the Federal Bureau of Investigation's (FBI) Combined DNA Index System (CODIS) with an infrared (IR) automatic DNA sequencer (LI-COR 4200). The amplicons were labeled with forward oligonucleotide primers, covalently linked to a new infrared fluorescent molecule (IRDye 800). The alleles were displayed as familiar autoradiogram-like images with real-time detection. This protocol was employed for paternity testing, population studies, and identification of degraded forensic samples. We extensively analyzed some simulated forensic samples and mixed stains (blood, semen, saliva, bones, and fixed archival embedded tissues), comparing the results with donor samples. Sensitivity studies were also performed for the four multiplex systems. Our results show the efficiency, reliability, and accuracy of the IR system for the analysis of forensic samples. We also compared the efficiency of the multiplex protocol with ultraviolet (UV) technology. Paternity tests, undegraded DNA samples, and real forensic samples were analyzed with this approach based on IR technology and with UV-based automatic sequencers in combination with commercially-available kits. The comparability of the results with the widespread UV methods suggests that it is possible to exchange data between laboratories using the same core group of markers but different primer sets and detection methods.

  3. Automatic identification and classification of muscle spasms in long-term EMG recordings.

    Science.gov (United States)

    Winslow, Jeffrey; Martinez, Adriana; Thomas, Christine K

    2015-03-01

    Spinal cord injured (SCI) individuals may be afflicted by spasticity, a condition in which involuntary muscle spasms are common. EMG recordings can be analyzed to quantify this symptom of spasticity but manual identification and classification of spasms are time consuming. Here, an algorithm was created to find and classify spasm events automatically within 24-h recordings of EMG. The algorithm used expert rules and time-frequency techniques to classify spasm events as tonic, unit, or clonus spasms. A companion graphical user interface (GUI) program was also built to verify and correct the results of the automatic algorithm or manually defined events. Eight channel EMG recordings were made from seven different SCI subjects. The algorithm was able to correctly identify an average (±SD) of 94.5 ± 3.6% spasm events and correctly classify 91.6 ± 1.9% of spasm events, with an accuracy of 61.7 ± 16.2%. The accuracy improved to 85.5 ± 5.9% and the false positive rate decreased to 7.1 ± 7.3%, respectively, if noise events between spasms were removed. On average, the algorithm was more than 11 times faster than manual analysis. Use of both the algorithm and the GUI program provide a powerful tool for characterizing muscle spasms in 24-h EMG recordings, information which is important for clinical management of spasticity.

  4. Automatic identification of pectoralis muscle on digital cranio-caudal-view mammograms

    Science.gov (United States)

    Ge, Mei; Mawdsley, Gordon; Yaffe, Martin

    2011-03-01

    To improve efficiency and reduce human error in the computerized calculation of volumetric breast density, we have developed an automatic identification process which suppresses the projected region of the pectoralis muscle on digital CC-view mammograms. The pixels in the image of the pectoralis muscle, represent dense tissue, but not related to risk, will cause an error in estimated breast density if counted as fibroglandular tissue. The pectoralis muscle on the CC-view is not always visible and has variable shape and location. Our algorithm robustly detects the existence of the pectoralis in the image and segments it as a semi-elliptical region that closely matches manually segmented images. We present a pipeline where adaptive thresholding and distance transforms have been used in the initial pectoralis region identification process; statistical region growing is applied to explore the region within the identified location aimed at refining the boundary; and a 2D shape descriptor is developed for the target validation: the segmented region is identified as the pectoralis muscle if it has a semi-elliptical contour. After the pectoralis muscle is identified, a 1D-FFT filtering is used for boundary smoothing. Quantitative evaluation was performed by comparing manual segmentation by a trained operator, and analysis using the algorithm in a set of 174 randomly selected digital mammograms. Use of the algorithm is shown to improve accuracy in the automatic determination of the volumetric ratio of breast composition by removal of the pectoralis muscle from both the numerator and denominator. As well, it greatly improves the efficiency and throughput in large scale volumetric mammographic density studies where previously interaction with an operator was required to obtain that level of accuracy.

  5. Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings.

    Science.gov (United States)

    Zou, Yuan; Nathan, Viswam; Jafari, Roozbeh

    2016-01-01

    Electroencephalography (EEG) is the recording of electrical activity produced by the firing of neurons within the brain. These activities can be decoded by signal processing techniques. However, EEG recordings are always contaminated with artifacts which hinder the decoding process. Therefore, identifying and removing artifacts is an important step. Researchers often clean EEG recordings with assistance from independent component analysis (ICA), since it can decompose EEG recordings into a number of artifact-related and event-related potential (ERP)-related independent components. However, existing ICA-based artifact identification strategies mostly restrict themselves to a subset of artifacts, e.g., identifying eye movement artifacts only, and have not been shown to reliably identify artifacts caused by nonbiological origins like high-impedance electrodes. In this paper, we propose an automatic algorithm for the identification of general artifacts. The proposed algorithm consists of two parts: 1) an event-related feature-based clustering algorithm used to identify artifacts which have physiological origins; and 2) the electrode-scalp impedance information employed for identifying nonbiological artifacts. The results on EEG data collected from ten subjects show that our algorithm can effectively detect, separate, and remove both physiological and nonbiological artifacts. Qualitative evaluation of the reconstructed EEG signals demonstrates that our proposed method can effectively enhance the signal quality, especially the quality of ERPs, even for those that barely display ERPs in the raw EEG. The performance results also show that our proposed method can effectively identify artifacts and subsequently enhance the classification accuracies compared to four commonly used automatic artifact removal methods.

  6. FAST CARS: engineering a laser spectroscopic technique for rapid identification of bacterial spores.

    Science.gov (United States)

    Scully, M O; Kattawar, G W; Lucht, R P; Opatrny, T; Pilloff, H; Rebane, A; Sokolov, A V; Zubairy, M S

    2002-08-20

    Airborne contaminants, e.g., bacterial spores, are usually analyzed by time-consuming microscopic, chemical, and biological assays. Current research into real-time laser spectroscopic detectors of such contaminants is based on e.g., resonance fluorescence. The present approach derives from recent experiments in which atoms and molecules are prepared by one (or more) coherent laser(s) and probed by another set of lasers. However, generating and using maximally coherent oscillation in macromolecules having an enormous number of degrees of freedom is challenging. In particular, the short dephasing times and rapid internal conversion rates are major obstacles. However, adiabatic fast passage techniques and the ability to generate combs of phase-coherent femtosecond pulses provide tools for the generation and utilization of maximal quantum coherence in large molecules and biopolymers. We call this technique FAST CARS (femtosecond adaptive spectroscopic techniques for coherent anti-Stokes Raman spectroscopy), and the present article proposes and analyses ways in which it could be used to rapidly identify preselected molecules in real time.

  7. Automatic identification of bird targets with radar via patterns produced by wing flapping.

    Science.gov (United States)

    Zaugg, Serge; Saporta, Gilbert; van Loon, Emiel; Schmaljohann, Heiko; Liechti, Felix

    2008-09-01

    Bird identification with radar is important for bird migration research, environmental impact assessments (e.g. wind farms), aircraft security and radar meteorology. In a study on bird migration, radar signals from birds, insects and ground clutter were recorded. Signals from birds show a typical pattern due to wing flapping. The data were labelled by experts into the four classes BIRD, INSECT, CLUTTER and UFO (unidentifiable signals). We present a classification algorithm aimed at automatic recognition of bird targets. Variables related to signal intensity and wing flapping pattern were extracted (via continuous wavelet transform). We used support vector classifiers to build predictive models. We estimated classification performance via cross validation on four datasets. When data from the same dataset were used for training and testing the classifier, the classification performance was extremely to moderately high. When data from one dataset were used for training and the three remaining datasets were used as test sets, the performance was lower but still extremely to moderately high. This shows that the method generalizes well across different locations or times. Our method provides a substantial gain of time when birds must be identified in large collections of radar signals and it represents the first substantial step in developing a real time bird identification radar system. We provide some guidelines and ideas for future research.

  8. Automatic identification of seismic swarms and other spatio-temporal clustering from catalogs

    Science.gov (United States)

    Nava, F. Alejandro; Glowacka, Ewa

    1994-06-01

    Statistical analysis of seismic catalogs usually requires identification of swarms and foreshocks-main event-aftershocks sequences-a tedious and time-consuming chore. SWaRMSHoW, a simple but versatile QBASIC program for PC, graphically displays on screen catalog epicentral activity, with optional temporal distribution scaling; identifies spatio-temporal hypocentral clusters (SwrSeq) which may be swarms or foreshocks-main event-aftershocks sequences and discriminates between these; and displays SwrSeq locations and limits, and assigns them equivalent magnitudes corresponding to those of single events having seismic energy equal to that of the whole SwrSeq. SWaRMSHoW features optional detailed disk output of swarms and clusters, including origin time, location, constituent events, equivalent magnitudes, and current parameters, that allows easy application of results. Graphic screen display includes optional maps and drawings. Operation can be completely automatic or interactive. Working parameters can be reset at any time during operation. Besides swarm and sequence identification, this program's modeling of the seismicity, scaled in both space and time, is useful for studying many aspects of spatio-temporal seismicity, such as fault activation, migration of activity, quiescence, etc.

  9. A new technology for automatic identification and sorting of plastics for recycling.

    Science.gov (United States)

    Ahmad, S R

    2004-10-01

    A new technology for automatic sorting of plastics, based upon optical identification of fluorescence signatures of dyes, incorporated in such materials in trace concentrations prior to product manufacturing, is described. Three commercial tracers were selected primarily on the basis of their good absorbency in the 310-370 nm spectral band and their identifiable narrow-band fluorescence signatures in the visible band of the spectrum when present in binary combinations. This absorption band was selected because of the availability of strong emission lines in this band from a commercial Hg-arc lamp and high fluorescence quantum yields of the tracers at this excitation wavelength band. The plastics chosen for tracing and identification are HDPE, LDPE, PP, EVA, PVC and PET and the tracers were compatible and chemically non-reactive with the host matrices and did not affect the transparency of the plastics. The design of a monochromatic and collimated excitation source, the sensor system are described and their performances in identifying and sorting plastics doped with tracers at a few parts per million concentration levels are evaluated. In an industrial sorting system, the sensor was able to sort 300 mm long plastic bottles at a conveyor belt speed of 3.5 m.sec(-1) with a sorting purity of -95%. The limitation was imposed due to mechanical singulation irregularities at high speed and the limited processing speed of the computer used.

  10. Automatic Classification of the Vestibulo-Ocular Reflex Nystagmus: Integration of Data Clustering and System Identification.

    Science.gov (United States)

    Ranjbaran, Mina; Smith, Heather L H; Galiana, Henrietta L

    2016-04-01

    The vestibulo-ocular reflex (VOR) plays an important role in our daily activities by enabling us to fixate on objects during head movements. Modeling and identification of the VOR improves our insight into the system behavior and improves diagnosis of various disorders. However, the switching nature of eye movements (nystagmus), including the VOR, makes dynamic analysis challenging. The first step in such analysis is to segment data into its subsystem responses (here slow and fast segment intervals). Misclassification of segments results in biased analysis of the system of interest. Here, we develop a novel three-step algorithm to classify the VOR data into slow and fast intervals automatically. The proposed algorithm is initialized using a K-means clustering method. The initial classification is then refined using system identification approaches and prediction error statistics. The performance of the algorithm is evaluated on simulated and experimental data. It is shown that the new algorithm performance is much improved over the previous methods, in terms of higher specificity.

  11. Exploring features for automatic identification of news queries through query logs

    Institute of Scientific and Technical Information of China (English)

    Xiaojuan; ZHANG; Jian; LI

    2014-01-01

    Purpose:Existing researches of predicting queries with news intents have tried to extract the classification features from external knowledge bases,this paper tries to present how to apply features extracted from query logs for automatic identification of news queries without using any external resources.Design/methodology/approach:First,we manually labeled 1,220 news queries from Sogou.com.Based on the analysis of these queries,we then identified three features of news queries in terms of query content,time of query occurrence and user click behavior.Afterwards,we used 12 effective features proposed in literature as baseline and conducted experiments based on the support vector machine(SVM)classifier.Finally,we compared the impacts of the features used in this paper on the identification of news queries.Findings:Compared with baseline features,the F-score has been improved from 0.6414 to0.8368 after the use of three newly-identified features,among which the burst point(bst)was the most effective while predicting news queries.In addition,query expression(qes)was more useful than query terms,and among the click behavior-based features,news URL was the most effective one.Research limitations:Analyses based on features extracted from query logs might lead to produce limited results.Instead of short queries,the segmentation tool used in this study has been more widely applied for long texts.Practical implications:The research will be helpful for general-purpose search engines to address search intents for news events.Originality/value:Our approach provides a new and different perspective in recognizing queries with news intent without such large news corpora as blogs or Twitter.

  12. CAR STICKERS

    CERN Multimedia

    Access and Control Service

    2004-01-01

    Following to the operational circular No2 title III. Conditions of access, paragraph 21 . Except in the case of exemptions authorized by the Director-General, all drivers must facilitate the identification of their vehicle. For CERN car stickers to be valid in 2004, they must have the numbers 04 printed on them. As of Monday, March 15th, the security agents on duty at the various access points will have no alternative but to refuse entry to vehicles which do not have a valid sticker. Anyone in this situation is requested to follow the regularization procedure either by logging on to the web site, or by going in person to the registration service in bldg. 55, first floor, between 07h30 et 16h30, Monday through Friday. Access and Control Service - FM Group, TS Department

  13. The Iqmulus Urban Showcase: Automatic Tree Classification and Identification in Huge Mobile Mapping Point Clouds

    Science.gov (United States)

    Böhm, J.; Bredif, M.; Gierlinger, T.; Krämer, M.; Lindenberg, R.; Liu, K.; Michel, F.; Sirmacek, B.

    2016-06-01

    Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one working day. What is still difficult is to extract and visualize meaningful information hidden in these point clouds with the same efficiency. This is where the FP7 IQmulus project enters the scene. IQmulus is an interactive facility for processing and visualizing big spatial data. In this study the potential of IQmulus is demonstrated on a laser mobile mapping point cloud of 1 billion points sampling ~ 10 km of street environment in Toulouse, France. After the data is uploaded to the IQmulus Hadoop Distributed File System, a workflow is defined by the user consisting of retiling the data followed by a PCA driven local dimensionality analysis, which runs efficiently on the IQmulus cloud facility using a Spark implementation. Points scattering in 3 directions are clustered in the tree class, and are separated next into individual trees. Five hours of processing at the 12 node computing cluster results in the automatic identification of 4000+ urban trees. Visualization of the results in the IQmulus fat client helps users to appreciate the results, and developers to identify remaining flaws in the processing workflow.

  14. A Novel OD Estimation Method Based on Automatic Vehicle Identification Data

    Science.gov (United States)

    Sun, Jian; Feng, Yu

    With the development and application of Automatic Vehicle Identification (AVI) technologies, a novel high resolution OD estimation method was proposed based on AVI detector information. 4 detected categories (Ox + Dy, Ox/Dy + Path(s), Ox/Dy, Path(s)) were divided at the first step. Then the initial OD matrix was updated using the Ox + Dy sample information considering the AVI detector errors. Referenced by particle filter, the link-path relationship data were revised using the last 3 categories information based on Bayesian inference and the possible trajectory and OD were determined using Monte Carlo random process at last. Finally, according to the current application of video detector in Shanghai, the North-South expressway was selected as the testbed which including 17 OD pairs and 9 AVI detectors. The results show that the calculated average relative error is 12.09% under the constraints that the simulation error is under 15% and the detector error is about 10%. It also shows that this method is highly efficient and can fully using the partial vehicle trajectory which can be satisfied with the dynamic traffic management application in reality.

  15. Multi-level Bayesian safety analysis with unprocessed Automatic Vehicle Identification data for an urban expressway.

    Science.gov (United States)

    Shi, Qi; Abdel-Aty, Mohamed; Yu, Rongjie

    2016-03-01

    In traffic safety studies, crash frequency modeling of total crashes is the cornerstone before proceeding to more detailed safety evaluation. The relationship between crash occurrence and factors such as traffic flow and roadway geometric characteristics has been extensively explored for a better understanding of crash mechanisms. In this study, a multi-level Bayesian framework has been developed in an effort to identify the crash contributing factors on an urban expressway in the Central Florida area. Two types of traffic data from the Automatic Vehicle Identification system, which are the processed data capped at speed limit and the unprocessed data retaining the original speed were incorporated in the analysis along with road geometric information. The model framework was proposed to account for the hierarchical data structure and the heterogeneity among the traffic and roadway geometric data. Multi-level and random parameters models were constructed and compared with the Negative Binomial model under the Bayesian inference framework. Results showed that the unprocessed traffic data was superior. Both multi-level models and random parameters models outperformed the Negative Binomial model and the models with random parameters achieved the best model fitting. The contributing factors identified imply that on the urban expressway lower speed and higher speed variation could significantly increase the crash likelihood. Other geometric factors were significant including auxiliary lanes and horizontal curvature.

  16. Adoption of automatic identification systems by grocery retailersin the Johannesburg area

    Directory of Open Access Journals (Sweden)

    Christopher C. Darlington

    2011-11-01

    Full Text Available Retailers not only need the right data capture technology to meet the requirements of their applications, they must also decide on what the optimum technology is from the different symbologies that have been developed over the years. Automatic identification systems (AIS are a priority to decision makers as they attempt to obtain the best blend of equipment to ensure greater loss prevention and higher reliability in data capture. However there is a risk of having too simplistic a view of adopting AIS, since no one solution is applicable across an industry or business model. This problem is addressed through an exploratory, descriptive study, where the nature and value of AIS adoption by grocery retailers in the Johannesburg area is interrogated. Mixed empirical results indicate that, as retailers adopt AIS in order to improve their supply chain management systems, different types of applications are associated with various constraints and opportunities. Overall this study is in line with previous research that supports the notion that supply chain decisions are of a strategic nature even though efficient management of information is a day-to-day business operational decision.

  17. Ontology-based automatic identification of public health-related Turkish tweets.

    Science.gov (United States)

    Küçük, Emine Ela; Yapar, Kürşad; Küçük, Dilek; Küçük, Doğan

    2017-02-04

    Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish tweets. The system is based on a public health ontology that we have constructed through a semi-automated procedure. The ontology concepts are expanded through a linguistically motivated relaxation scheme as the last stage of ontology development, before being integrated into our system to increase its coverage. The ultimate lexical resource which includes the terms corresponding to the ontology concepts is used to filter the Twitter stream so that a plausible tweet subset, including mostly public-health related tweets, can be obtained. Experiments are carried out on two million genuine tweets and promising precision rates are obtained. Also implemented within the course of the current study is a Web-based interface, to track the results of this identification system, to be used by the related public health staff. Hence, the current social media analysis study has both technical and practical contributions to the significant domain of public health.

  18. Protokol Interchangeable Data pada VMeS (Vessel Messaging System dan AIS (Automatic Identification System

    Directory of Open Access Journals (Sweden)

    Farid Andhika

    2012-09-01

    Full Text Available VMeS (Vessel Messaging System merupakan komunikasi berbasis radio untuk mengirimkan pesan antara VMeS terminal kapal di laut dengan VMeS gateway di darat. Dalam perkembangan sistem monitoring kapal di laut umumnya menggunakan AIS (Automatic Identification System yang telah digunakan di seluruh pelabuhan untuk memantau kondisi kapal dan mencegah tabrakan antar kapal. Dalam penelitian ini akan dirancang format data yang sesuai untuk VMeS agar bisa dilakukan proses interchangeable ke AIS sehingga bisa dibaca oleh AIS receiver yang ditujukan untuk kapal dengan ukuran dibawah 30 GT (Gross Tonnage. Format data VmeS dirancang dalam tiga jenis yaitu data posisi, data informasi kapal dan data pesan pendek yang akan dilakukan interchangeable dengan AIS tipe 1,4 dan 8. Pengujian kinerja sistem interchangeable menunjukkan bahwa dengan peningkatan periode pengiriman pesan maka lama delay total meningkat tetapi packet loss menurun. Pada pengiriman pesan setiap 5 detik dengan kecepatan 0-40 km/jam, 96,67 % data dapat diterima dengan baik. Data akan mengalami packet loss jika level daya terima dibawah -112 dBm . Jarak terjauh yang dapat dijangkau modem dengan kondisi bergerak yaitu informatika ITS dengan jarak 530 meter terhadap Laboratorium B406 dengan level daya terima -110 dBm.

  19. Automatic type classification and speaker identification of african elephant (Loxodonta africana) vocalizations

    Science.gov (United States)

    Clemins, Patrick J.; Johnson, Michael T.

    2003-04-01

    This paper presents a system for automatically classifying African elephant vocalizations based on systems used for human speech recognition and speaker identification. The experiments are performed on vocalizations collected from captive elephants in a naturalistic environment. Features used for classification include Mel-Frequency Cepstral Coefficients (MFCCs) and log energy which are the most common features used in human speech processing. Since African elephants use lower frequencies than humans in their vocalizations, the MFCCs are computed using a shifted Mel-Frequency filter bank to emphasize the infrasound range of the frequency spectrum. In addition to these features, the use of less traditional features such as those based on fundamental frequency and the phase of the frequency spectrum is also considered. A Hidden Markov Model with Gaussian mixture state probabilities is used to model each type of vocalization. Vocalizations are classified based on type, speaker and estrous cycle. Experiments on continuous call type recognition, which can classify multiple vocalizations in the same utterance, are also performed. The long-term goal of this research is to develop a universal analysis framework and robust feature set for animal vocalizations that can be applied to many species.

  20. Automatic Identification Algorithm of KPI%KPI指标的自动辨别算法

    Institute of Scientific and Technical Information of China (English)

    张卓

    2016-01-01

    应用数理统计原理给出了通过实际监测数据作为样本来估计话务量正常取值范围的方法及结论,并将这一结论推广到了一般的KPI指标。通过实际监测数据作为样本来估计KPI指标的均值及方差,进而推断其分布函数及其正常取值范围,最终给出自动辨别算法及自动控制程序。%This paper applied the principle of mathematical statistics to the actual monitoring data as a sample to estimate traffic normal value scope of method and conclusion, and this conclusion has been expanded to general kPIs, such as traffic, cutting over the success rate and amount of paging, etc. The final automatic identification algorithm is presented.

  1. Multiple damage identification and imaging in an aluminum plate using effective Lamb wave response automatic extraction technology

    Science.gov (United States)

    Ouyang, Qinghua; Zhou, Li; Liu, Xiaotong

    2016-04-01

    In order to identify multiple damage in the structure, a method of multiple damage identification and imaging based on the effective Lamb wave response automatic extraction algorithm is proposed. In this method, the detected key area in the structure is divided into a number of subregions, and then, the effective response signals including the structural damage information are automatically extracted from the entire Lamb wave responses which are received by the piezoelectric sensors. Further, the damage index values of every subregion based on the correlation coefficient are calculated using the effective response signals. Finally, the damage identification and imaging are performed using the reconstruction algorithm for probabilistic inspection of damage (RAPID) technique. The experimental research was conducted using an aluminum plate. The experimental results show that the method proposed in this research can quickly and effectively identify the single damage or multiple damage and image the damages clearly in detected area.

  2. Automatic procedure for mass and charge identification of light isotopes detected in CsI(Tl) of the GARFIELD apparatus

    Science.gov (United States)

    Morelli, L.; Bruno, M.; Baiocco, G.; Bardelli, L.; Barlini, S.; Bini, M.; Casini, G.; D'Agostino, M.; Degerlier, M.; Gramegna, F.; Kravchuk, V. L.; Marchi, T.; Pasquali, G.; Poggi, G.

    2010-08-01

    Mass and charge identification of light charged particles detected with the 180 CsI(Tl) detectors of the GARFIELD apparatus is presented. A "tracking" method to automatically sample the Z and A ridges of "Fast-Slow" histograms is developed. An empirical analytic identification function is used to fit correlations between Fast and Slow, in order to determine, event by event, the atomic and mass numbers of the detected charged reaction products. A summary of the advantages of the proposed method with respect to "hand-based" procedures is reported.

  3. Automatic procedure for mass and charge identification of light isotopes detected in CsI(Tl) of the GARFIELD apparatus

    Energy Technology Data Exchange (ETDEWEB)

    Morelli, L.; Bruno, M.; Baiocco, G. [Dipartimento di Fisica dell' Universita and INFN, Bologna (Italy); Bardelli, L.; Barlini, S.; Bini, M.; Casini, G. [Dipartimento di Fisica dell' Universita and INFN, Firenze (Italy); D' Agostino, M., E-mail: dagostino@bo.infn.i [Dipartimento di Fisica dell' Universita and INFN, Bologna (Italy); Degerlier, M.; Gramegna, F. [INFN, Laboratori Nazionali di Legnaro (Italy); Kravchuk, V.L. [Dipartimento di Fisica dell' Universita and INFN, Bologna (Italy); INFN, Laboratori Nazionali di Legnaro (Italy); Marchi, T. [Dipartimento di Fisica dell' Universita, Padova, ItalyNUCL-EX Collaboration (Italy); INFN, Laboratori Nazionali di Legnaro (Italy); Pasquali, G.; Poggi, G. [Dipartimento di Fisica dell' Universita and INFN, Firenze (Italy)

    2010-08-21

    Mass and charge identification of light charged particles detected with the 180 CsI(Tl) detectors of the GARFIELD apparatus is presented. A 'tracking' method to automatically sample the Z and A ridges of 'Fast-Slow' histograms is developed. An empirical analytic identification function is used to fit correlations between Fast and Slow, in order to determine, event by event, the atomic and mass numbers of the detected charged reaction products. A summary of the advantages of the proposed method with respect to 'hand-based' procedures is reported.

  4. Maritime surveillance with synthetic aperture radar (SAR) and automatic identification system (AIS) onboard a microsatellite constellation

    Science.gov (United States)

    Peterson, E. H.; Zee, R. E.; Fotopoulos, G.

    2012-11-01

    New developments in small spacecraft capabilities will soon enable formation-flying constellations of small satellites, performing cooperative distributed remote sensing at a fraction of the cost of traditional large spacecraft missions. As part of ongoing research into applications of formation-flight technology, recent work has developed a mission concept based on combining synthetic aperture radar (SAR) with automatic identification system (AIS) data. Two or more microsatellites would trail a large SAR transmitter in orbit, each carrying a SAR receiver antenna and one carrying an AIS antenna. Spaceborne AIS can receive and decode AIS data from a large area, but accurate decoding is limited in high traffic areas, and the technology relies on voluntary vessel compliance. Furthermore, vessel detection amidst speckle in SAR imagery can be challenging. In this constellation, AIS broadcasts of position and velocity are received and decoded, and used in combination with SAR observations to form a more complete picture of maritime traffic and identify potentially non-cooperative vessels. Due to the limited transmit power and ground station downlink time of the microsatellite platform, data will be processed onboard the spacecraft. Herein we present the onboard data processing portion of the mission concept, including methods for automated SAR image registration, vessel detection, and fusion with AIS data. Georeferencing in combination with a spatial frequency domain method is used for image registration. Wavelet-based speckle reduction facilitates vessel detection using a standard CFAR algorithm, while leaving sufficient detail for registration of the filtered and compressed imagery. Moving targets appear displaced from their actual position in SAR imagery, depending on their velocity and the image acquisition geometry; multiple SAR images acquired from different locations are used to determine the actual positions of these targets. Finally, a probabilistic inference

  5. FragIdent – Automatic identification and characterisation of cDNA-fragments

    Directory of Open Access Journals (Sweden)

    Goehler Heike

    2009-03-01

    Full Text Available Abstract Background Many genetic studies and functional assays are based on cDNA fragments. After the generation of cDNA fragments from an mRNA sample, their content is at first unknown and must be assigned by sequencing reactions or hybridisation experiments. Even in characterised libraries, a considerable number of clones are wrongly annotated. Furthermore, mix-ups can happen in the laboratory. It is therefore essential to the relevance of experimental results to confirm or determine the identity of the employed cDNA fragments. However, the manual approach for the characterisation of these fragments using BLAST web interfaces is not suited for larger number of sequences and so far, no user-friendly software is publicly available. Results Here we present the development of FragIdent, an application for the automatic identification of open reading frames (ORFs within cDNA-fragments. The software performs BLAST analyses to identify the genes represented by the sequences and suggests primers to complete the sequencing of the whole insert. Gene-specific information as well as the protein domains encoded by the cDNA fragment are retrieved from Internet-based databases and included in the output. The application features an intuitive graphical interface and is designed for researchers without any bioinformatics skills. It is suited for projects comprising up to several hundred different clones. Conclusion We used FragIdent to identify 84 cDNA clones from a yeast two-hybrid experiment. Furthermore, we identified 131 protein domains within our analysed clones. The source code is freely available from our homepage at http://compbio.charite.de/genetik/FragIdent/.

  6. MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures

    Directory of Open Access Journals (Sweden)

    Culf Adrian

    2011-10-01

    Full Text Available Abstract Background One-dimensional 1H-NMR spectroscopy is widely used for high-throughput characterization of metabolites in complex biological mixtures. However, the accurate identification of individual compounds is still a challenging task, particularly in spectral regions with higher peak densities. The need for automatic tools to facilitate and further improve the accuracy of such tasks, while using increasingly larger reference spectral libraries becomes a priority of current metabolomics research. Results We introduce a web server application, called MetaboHunter, which can be used for automatic assignment of 1H-NMR spectra of metabolites. MetaboHunter provides methods for automatic metabolite identification based on spectra or peak lists with three different search methods and with possibility for peak drift in a user defined spectral range. The assignment is performed using as reference libraries manually curated data from two major publicly available databases of NMR metabolite standard measurements (HMDB and MMCD. Tests using a variety of synthetic and experimental spectra of single and multi metabolite mixtures show that MetaboHunter is able to identify, in average, more than 80% of detectable metabolites from spectra of synthetic mixtures and more than 50% from spectra corresponding to experimental mixtures. This work also suggests that better scoring functions improve by more than 30% the performance of MetaboHunter's metabolite identification methods. Conclusions MetaboHunter is a freely accessible, easy to use and user friendly 1H-NMR-based web server application that provides efficient data input and pre-processing, flexible parameter settings, fast and automatic metabolite fingerprinting and results visualization via intuitive plotting and compound peak hit maps. Compared to other published and freely accessible metabolomics tools, MetaboHunter implements three efficient methods to search for metabolites in manually curated

  7. Model-free Adaptive Control with Coordinates Compensation for Automatic Car Parking Systems%基于坐标补偿的自动泊车系统无模型自适应控制

    Institute of Scientific and Technical Information of China (English)

    侯忠生; 董航瑞; 金尚泰

    2015-01-01

    针对自动泊车系统,提出了无模型自适应控制(Model-free adaptive control, MFAC)方案。控制方案的设计仅利用泊车系统的前轮转角输入数据和车身角输出数据,不包含车辆模型信息。因此,针对不同车型的自动泊车系统,该方案均能实现无模型自适应控制。为了改善期望轨迹的坐标跟踪误差,进一步提出基于坐标补偿的无模型自适应控制方案,该方案由控制算法、参数估计算法、参数重置算法和坐标补偿算法构成。针对不同车型不同泊车速度的仿真结果表明,基于坐标补偿的MFAC 方案和原型MFAC方案均能较好地完成自动泊车过程,且基于坐标补偿的MFAC方案相比原型MFAC方案和PID控制方案,在轨迹坐标和车身角等方面均具有更小的跟踪误差和更快的响应速度。%In this paper, a model-free adaptive control (MFAC) scheme is proposed for automatic car parking systems. The design of the proposed scheme only depends on the steering angle and the orientation angle of the car, and it does not involve any model information of the car. Therefore, the MFAC based automatic parking system is applicable to different kinds of cars. In order to further reduce the desired trajectory coordinate tracking error, a modified MFAC scheme with coordinates compensation is also proposed, which consists of a control algorithm, a parameter estimation algorithm, a parameter reset algorithm, and a coordinates compensation algorithm. A simulation comparison among MFAC scheme with coordinates compensation, prototype MFAC scheme, and PID control algorithm is given for different kinds of cars with different parking speeds. It is shown that both the prototype MFAC scheme and the MFAC scheme with coordinates compensation can better finish the automatic parking process, and the MFAC scheme with coordinates compensation has smaller tracking errors and more rapid responses to the orientation angle of the car and the trajectory

  8. Automatic road condition measuring system for intelligent small car based on accelerometer sensor%基于加速度传感器的智能小车路况自动测量系统

    Institute of Scientific and Technical Information of China (English)

    程斌杰; 魏逢原; 金孟加

    2012-01-01

    针对路面平整度的自动测量问题,结合工程实际中路面勘测的需要,设计了一套智能小车系统,实现路面坡度的自动测量和预警.ADXL345加速度传感器用于测量三轴加速度,实现了路面坡度的自动获取;蓝牙模块用于在计算机和小车之间进行数据的传送,实现了智能小车运动的远程控制以及计算机对坡度信号的接收;脉宽调制(PWM)方式用于对电机进行速度闭环控制,实现了智能小车测量路况时的低速运行;Matlab软件用于对坡度值的读取、处理以及绘图,实现了路面坡度坐标图和路面示意图的绘制,直观地反映了路况.通过判断所测坡度值与临界值的大小,实现了大坡度危险路况下的自动预警.研究结果表明,该智能小车路况测量系统能满足实际路况的自动检测、低速运行、示意路面总体状况和预警等功能的要求.%Aiming at the problem of measuring road condition automatically, an intelligent small car was designed to measure road's gradient. The accelerometer sensor ADXL345 was used to collect data of road's gradient automatically. The Bluetooth module was adopted to realize the communication between a small car and a personal computer. Thus controlling the car wirelessly and returning the data of road's gradient back to PC. Pulse width modulation (PWM)control was used to realize close—loop speed control and ensure the low speed of a small car. Matlab was used to make graphs of road's condition, which shown the variation of roads' altitude. Warning alarm would be set off if road's gradient was beyond a safe level. The results indicate thai the measuring system can satisfy the requirements of data collecting,low-speed running,graphs making,safety warning and other functions referred to above.

  9. Shipborne automatic identification system%船载自动识别系统

    Institute of Scientific and Technical Information of China (English)

    叶猛; 高璐; 纪圣谋; 葛中芹; 徐健健

    2013-01-01

    提出了一种满足TDMA相关协议的新型船载自动识别系统设计.系统选用基于ARM7TDMI核的S3C44130X处理器,配合一款基带信号处理器芯片CMX910.设计的船载自动识别系统实现了ITDMA、RATDMA和SOTDMA的通信协议,实现了系统同步、发射和接收工作的要求,并完成了键盘与显示系统之间进行信息交互等所有主题通信软件的设计.进行了直接连接I/Q信号,通过转发器获取发送、接收信号,以及改变发送率等相关试验.相关与发射接收速率改变关系分析,并完成了整机的运行试验.试验结果表明:系统可以正确入网,并与其他船载设备以及基站之间进行正常稳定的信息收发工作.%This paper presents a new shipborne automatic identification system (AIS) meeting with the TDMA communication protocol. This system takes S3C44130X of ARM7TDMI as the processor and implements the ITDMA, RATDMA and SOTDMA communication protocol,and completes the synchronization,transmission and reception. The system designed in this paper also accomplishes the software design of communication between the keyboard and display system,and so on. We have done some related experiments such as connecting the I/Q signal directly,transmitting and receiving with the transponder, changing the transmitting rate, and running the whole system. The whole system works well and can communicate with other mobile station on vessels and base station very well according to the communication protocol.

  10. New semi-automatic method for reaction product charge and mass identification in heavy-ion collisions at Fermi energies

    Science.gov (United States)

    Gruyer, D.; Bonnet, E.; Chbihi, A.; Frankland, J. D.; Barlini, S.; Borderie, B.; Bougault, R.; Dueñas, J. A.; Galichet, E.; Kordyasz, A.; Kozik, T.; Le Neindre, N.; Lopez, O.; Pârlog, M.; Pastore, G.; Piantelli, S.; Valdré, S.; Verde, G.; Vient, E.

    2017-03-01

    This article presents a new semi-automatic method for charge and mass identification of charged nuclear fragments using either ΔE - E correlations between measured energy losses in two successive detectors or correlations between charge signal amplitude and rise time in a single silicon detector, derived from digital pulse shape analysis techniques. In both cases different nuclear species (defined by their atomic number Z and mass number A) can be visually identified from such correlations if they are presented as a two-dimensional histogram ('identification matrix'), in which case correlations for different species populate different ridge lines ('identification lines') in the matrix. The proposed algorithm is based on the identification matrix's properties and uses as little information as possible on the global form of the identification lines, making it applicable to a large variety of matrices. Particular attention has been paid to the implementation in a suitable graphical environment, so that only two mouse-clicks are required from the user to calculate all initialization parameters. Example applications to recent data from both INDRA and FAZIA telescopes are presented.

  11. Introducing a semi-automatic method to simulate large numbers of forensic fingermarks for research on fingerprint identification.

    Science.gov (United States)

    Rodriguez, Crystal M; de Jongh, Arent; Meuwly, Didier

    2012-03-01

    Statistical research on fingerprint identification and the testing of automated fingerprint identification system (AFIS) performances require large numbers of forensic fingermarks. These fingermarks are rarely available. This study presents a semi-automatic method to create simulated fingermarks in large quantities that model minutiae features or images of forensic fingermarks. This method takes into account several aspects contributing to the variability of forensic fingermarks such as the number of minutiae, the finger region, and the elastic deformation of the skin. To investigate the applicability of the simulated fingermarks, fingermarks have been simulated with 5-12 minutiae originating from different finger regions for six fingers. An AFIS matching algorithm was used to obtain similarity scores for comparisons between the minutiae configurations of fingerprints and the minutiae configurations of simulated and forensic fingermarks. The results showed similar scores for both types of fingermarks suggesting that the simulated fingermarks are good substitutes for forensic fingermarks.

  12. Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle

    Directory of Open Access Journals (Sweden)

    Yevgeny Beiderman

    2014-12-01

    Full Text Available In this paper we show how a novel photonic remote sensing system assembled on a robotic platform can extract vital biomedical parameters from cattle including their heart beating, breathing and chewing activity. The sensor is based upon a camera and a laser using selfinterference phenomena. The whole system intends to provide an automatic solution for detection, identification and biomedical monitoring of a cow. The detection algorithm is based upon image processing involving probability map construction. The identification algorithms involve well known image pattern recognition techniques. The sensor is used on top of an automated robotic platform in order to support animal decision making. Field tests and computer simulated results are presented.

  13. Research and Development of Automatic Clutch System of Small Passenger Car%小型乘用车自动离合器研制

    Institute of Scientific and Technical Information of China (English)

    田春林; 邱占浩; 王晓军

    2015-01-01

    针对自动变速器成本高、油耗高、维修复杂,而手动变速器操作复杂,驾驶员易疲劳的问题,研发了自动离合器系统。用电动机构取代离合器踏板功能,而保留其它原有操纵机构。把电动机旋转运动转化为控制离合器总泵的直线运动,通过离合器工作泵间接控制离合器分离叉,从而控制离合器分离、接合。自动离合器系统将自动挡和手动挡相结合,不但可以自动变速,又保留变速杆。自动离合器系统有成本低、维护方便、富有驾驶乐趣等特点。%In view of the problems of the high cost, high fuel consumption and complex maintenance of the automatic transmission as well as the complicated operation of manual transmission and the easy fatigue of drivers, an automatic clutch system is researched and developed, in which the clutch pedal function is replaced by electric mechanism and the other original steering mechanisms are kept. The rotary motion of motor is converted to the linear movement to control the clutch master and the clutch release fork is controlled indi-rectly by the clutch pump so as to control the clutch’ s separation and connection. The automatic clutch system, with the combination of automatic transmission and manual transmission, can realize the automatic transmission function and keep the gear lever. Automatic clutch system has the features of low cost and convenient maintenance, having driving pleasure.

  14. 汽车电控自动变速技术及发展趋势%Electronically Controlled Automatic Transmission Car Technology and its Development Trend

    Institute of Scientific and Technical Information of China (English)

    宋燕

    2009-01-01

    The electronically controlled automatic transmission to achieve the best shift, with good economic and sexual power, low-pollution; stable and reliable work, well adapted to complex traffic conditions and geographical conditions; no impact on the process of shifting and vibration, the shift action accurate, timely and easily manipulated; and has a fault self-diagnosis function. In this paper, electronically controlled automatic transmission type, the basic principles of composition and control, electronically controlled automatic transmission technology trends.%电子控制自动变速器能实现最佳的换档规律,具有良好的经济性和动力性,污染低;工作稳定可靠,能很好地适应复杂的交通情况和地理条件;换档过程无冲击和振动,换档动作准确、及时,操纵方便;且具有故障自诊断功能.介绍电控自动变速器的类型、基本组成和控制原理及电控自动变速技术的发展趋势.

  15. 长距离粉矿仓布料小车自动控制系统%Long-distance Powder ore bin discharging car automatic control system

    Institute of Scientific and Technical Information of China (English)

    刘松; 张庆伟

    2014-01-01

    针对长距离粉矿仓均匀布料问题,提出自动化仪表结合PLC系统的解决方案,实现了粉矿仓自动均匀布料,减轻工人劳动强度,提高设备工作效率。%In view of the problems of long-distance powder ore bin of uniform feeding, the solution is improved by automation instrument and PLC system, achieved the powder ore bin of uniform and automatic feeding, reduced labor intensity, improved equipment eficiency.

  16. Independent component analysis-based algorithm for automatic identification of Raman spectra applied to artistic pigments and pigment mixtures.

    Science.gov (United States)

    González-Vidal, Juan José; Pérez-Pueyo, Rosanna; Soneira, María José; Ruiz-Moreno, Sergio

    2015-03-01

    A new method has been developed to automatically identify Raman spectra, whether they correspond to single- or multicomponent spectra. The method requires no user input or judgment. There are thus no parameters to be tweaked. Furthermore, it provides a reliability factor on the resulting identification, with the aim of becoming a useful support tool for the analyst in the decision-making process. The method relies on the multivariate techniques of principal component analysis (PCA) and independent component analysis (ICA), and on some metrics. It has been developed for the application of automated spectral analysis, where the analyzed spectrum is provided by a spectrometer that has no previous knowledge of the analyzed sample, meaning that the number of components in the sample is unknown. We describe the details of this method and demonstrate its efficiency by identifying both simulated spectra and real spectra. The method has been applied to artistic pigment identification. The reliable and consistent results that were obtained make the methodology a helpful tool suitable for the identification of pigments in artwork or in paint in general.

  17. Semi-automatic identification of counterfeit offers in online shopping platforms

    OpenAIRE

    Wartner, Christian; Arnold, Patrick; Rahm, Erhard

    2015-01-01

    Product counterfeiting is a serious problem causing the industry estimated losses of billions of dollars every year. With the increasing spread of e-commerce, the number of counterfeit products sold online increased substantially. We propose the adoption of a semi-automatic workflow to identify likely counterfeit offers in online platforms and to present these offers to a domain expert for manual verification. The workflow includes steps to generate search queries for relevant product offers,...

  18. The Effects of Degraded Vision and Automatic Combat Identification Reliability on Infantry Friendly Fire Engagements

    OpenAIRE

    Kogler, Timothy Michael

    2003-01-01

    Fratricide is one of the most devastating consequences of any military conflict. Target identification failures have been identified as the last link in a chain of mistakes that can lead to fratricide. Other links include weapon and equipment malfunctions, command, control, and communication failures, navigation failures, fire discipline failures, and situation awareness failures. This research examined the effects of degraded vision and combat identification reliability on the time-stress...

  19. PARAMETRIC OPTIMIZATION OF THE MULTIMODAL DECISION-LEVEL FUSION SCHEME IN AUTOMATIC BIOMETRIC PERSON’S IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    A. V. Timofeev

    2014-05-01

    Full Text Available This paper deals with an original method of structure parametric optimization for multimodal decision-level fusion scheme which combines the results of the partial solution for the classification task obtained from assembly of the monomodal classifiers. As a result, a multimodal fusion classifier which has the minimum value of the total error rate has been obtained. Properties of the proposed approach are proved rigorously. Suggested method has an urgent practical application in the automatic multimodal biometric person’s identification systems and in the systems for remote monitoring of extended objects. The proposed solution is easy for practical implementation into real operating systems. The paper presents a simulation study of the effectiveness of this optimized multimodal fusion classifier carried out on special bimodal biometrical database. Simulation results showed high practical effectiveness of the suggested method.

  20. Compensation of Cable Voltage Drops and Automatic Identification of Cable Parameters in 400 Hz Ground Power Units

    DEFF Research Database (Denmark)

    Borup, Uffe; Nielsen, Bo Vork; Blaabjerg, Frede

    2004-01-01

    In this paper a new cable voltage drop compensation scheme for ground power units (GPU) is presented. The scheme is able to predict and compensate the voltage drop in an output cable by measuring the current quantities at the source. The prediction is based on an advanced cable model that includes...... self and mutual impedance parameters. The model predicts the voltage drop at both symmetrical and unbalanced loads. In order to determine the cable model parameters an automatic identification concept is derived. The concept is tested in full scale on a 90-kVA 400-Hz GPU with two different cables....... It is concluded that the performance is significantly improved both with symmetrical and unsymmetrical cables and with balanced and unbalanced loads....

  1. Associating fuzzy logic, neural networks and multivariable statistic methodologies in the automatic identification of oil reservoir lithologies through well logs

    Energy Technology Data Exchange (ETDEWEB)

    Carrasquilla, Abel [Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Macae, RJ (Brazil). Lab. de Engenharia e Exploracao de Petroleo]. E-mail: abel@lenep.uenf.br; Silva, Jadir da [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Dept. de Geologia; Flexa, Roosevelt [Baker Hughes do Brasil Ltda, Macae, RJ (Brazil)

    2008-07-01

    In this article, we present a new approach to the automatic identification of lithologies using only well log data, which associates fuzzy logic, neural networks and multivariable statistic methods. Firstly, we chose well log data that represents lithological types, as gamma rays (GR) and density (RHOB), and, immediately, we applied a fuzzy logic algorithm to determine optimal number of clusters. In the following step, a competitive neural network is developed, based on Kohonen's learning rule, where the input layer is composed of two neurons, which represent the same number of used logs. On the other hand, the competitive layer is composed by several neurons, which have the same number of clusters as determined by the fuzzy logic algorithm. Finally, some data bank elements of the lithological types are selected at random to be the discriminate variables, which correspond to the input data of the multigroup discriminate analysis program. In this form, with the application of this methodology, the lithological types were automatically identified throughout the a well of the Namorado Oil Field, Campos Basin, which presented some difficulty in the results, mainly because of geological complexity of this field. (author)

  2. Generalizability and comparison of automatic clinical text de-identification methods and resources.

    Science.gov (United States)

    Ferrández, Óscar; South, Brett R; Shen, Shuying; Friedlin, F Jeff; Samore, Matthew H; Meystre, Stéphane M

    2012-01-01

    In this paper, we present an evaluation of the hybrid best-of-breed automated VHA (Veteran's Health Administration) clinical text de-identification system, nicknamed BoB, developed within the VHA Consortium for Healthcare Informatics Research. We also evaluate two available machine learning-based text de-identifications systems: MIST and HIDE. Two different clinical corpora were used for this evaluation: a manually annotated VHA corpus, and the 2006 i2b2 de-identification challenge corpus. These experiments focus on the generalizability and portability of the classification models across different document sources. BoB demonstrated good recall (92.6%), satisfactorily prioritizing patient privacy, and also achieved competitive precision (83.6%) for preserving subsequent document interpretability. MIST and HIDE reached very competitive results, in most cases with high precision (92.6% and 93.6%), although recall was sometimes lower than desired for the most sensitive PHI categories.

  3. Automatic NMR-based identification of chemical reaction types in mixtures of co-occurring reactions.

    Science.gov (United States)

    Latino, Diogo A R S; Aires-de-Sousa, João

    2014-01-01

    The combination of chemoinformatics approaches with NMR techniques and the increasing availability of data allow the resolution of problems far beyond the original application of NMR in structure elucidation/verification. The diversity of applications can range from process monitoring, metabolic profiling, authentication of products, to quality control. An application related to the automatic analysis of complex mixtures concerns mixtures of chemical reactions. We encoded mixtures of chemical reactions with the difference between the (1)H NMR spectra of the products and the reactants. All the signals arising from all the reactants of the co-occurring reactions were taken together (a simulated spectrum of the mixture of reactants) and the same was done for products. The difference spectrum is taken as the representation of the mixture of chemical reactions. A data set of 181 chemical reactions was used, each reaction manually assigned to one of 6 types. From this dataset, we simulated mixtures where two reactions of different types would occur simultaneously. Automatic learning methods were trained to classify the reactions occurring in a mixture from the (1)H NMR-based descriptor of the mixture. Unsupervised learning methods (self-organizing maps) produced a reasonable clustering of the mixtures by reaction type, and allowed the correct classification of 80% and 63% of the mixtures in two independent test sets of different similarity to the training set. With random forests (RF), the percentage of correct classifications was increased to 99% and 80% for the same test sets. The RF probability associated to the predictions yielded a robust indication of their reliability. This study demonstrates the possibility of applying machine learning methods to automatically identify types of co-occurring chemical reactions from NMR data. Using no explicit structural information about the reactions participants, reaction elucidation is performed without structure elucidation of

  4. Automatic identification of corrosive factors categories according to the environmental factors

    Directory of Open Access Journals (Sweden)

    Qing Xu

    2013-11-01

    Full Text Available Time of wetness, and pollutants are three key factors for the selection of metal materials in engineering applications and the determination of atmospheric corrosivity categories. In the past, when one or more corrosive factors data is missing, corrosive factors categories were often subjectively determined according to expert experience. In order to overcome such difficulty, this paper presents a method to automatically determine corrosive factors categories using detected environmental factors data instead of expert scoring. In this method, Bayesian network was used to build the mathematical model. And the inference was obtained by clique tree algorithm. The validity of the model and algorithm was verified by the simulation results.

  5. 3D handheld laser scanner based approach for automatic identification and localization of EEG sensors.

    Science.gov (United States)

    Koessler, Laurent; Cecchin, Thierry; Ternisien, Eric; Maillard, Louis

    2010-01-01

    This paper describes and assesses for the first time the use of a handheld 3D laser scanner for scalp EEG sensor localization and co-registration with magnetic resonance images. Study on five subjects showed that the scanner had an equivalent accuracy, a better repeatability, and was faster than the reference electromagnetic digitizer. According to electrical source imaging, somatosensory evoked potentials experiments validated its ability to give precise sensor localization. With our automatic labeling method, the data provided by the scanner could be directly introduced in the source localization studies.

  6. Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions

    Directory of Open Access Journals (Sweden)

    Yiyao Ye-Lin

    2014-01-01

    Full Text Available Electrohysterography (EHG is a noninvasive technique for monitoring uterine electrical activity. However, the presence of artifacts in the EHG signal may give rise to erroneous interpretations and make it difficult to extract useful information from these recordings. The aim of this work was to develop an automatic system of segmenting EHG recordings that distinguishes between uterine contractions and artifacts. Firstly, the segmentation is performed using an algorithm that generates the TOCO-like signal derived from the EHG and detects windows with significant changes in amplitude. After that, these segments are classified in two groups: artifacted and nonartifacted signals. To develop a classifier, a total of eleven spectral, temporal, and nonlinear features were calculated from EHG signal windows from 12 women in the first stage of labor that had previously been classified by experts. The combination of characteristics that led to the highest degree of accuracy in detecting artifacts was then determined. The results showed that it is possible to obtain automatic detection of motion artifacts in segmented EHG recordings with a precision of 92.2% using only seven features. The proposed algorithm and classifier together compose a useful tool for analyzing EHG signals and would help to promote clinical applications of this technique.

  7. Automatic Identification and Data Extraction from 2-Dimensional Plots in Digital Documents

    CERN Document Server

    Brouwer, William; Das, Sujatha; Mitra, Prasenjit; Giles, C L

    2008-01-01

    Most search engines index the textual content of documents in digital libraries. However, scholarly articles frequently report important findings in figures for visual impact and the contents of these figures are not indexed. These contents are often invaluable to the researcher in various fields, for the purposes of direct comparison with their own work. Therefore, searching for figures and extracting figure data are important problems. To the best of our knowledge, there exists no tool to automatically extract data from figures in digital documents. If we can extract data from these images automatically and store them in a database, an end-user can query and combine data from multiple digital documents simultaneously and efficiently. We propose a framework based on image analysis and machine learning to extract information from 2-D plot images and store them in a database. The proposed algorithm identifies a 2-D plot and extracts the axis labels, legend and the data points from the 2-D plot. We also segrega...

  8. Automatic identification of bird targets with radar via patterns produced by wing flapping

    NARCIS (Netherlands)

    Zaugg, S.; Saporta, G.; van Loon, E.; Schmaljohann, H.; Liechti, F.

    2008-01-01

    Bird identification with radar is important for bird migration research, environmental impact assessments (e.g. wind farms), aircraft security and radar meteorology. In a study on bird migration, radar signals from birds, insects and ground clutter were recorded. Signals from birds show a typical pa

  9. Progress towards an unassisted element identification from Laser Induced Breakdown Spectra with automatic ranking techniques inspired by text retrieval

    Energy Technology Data Exchange (ETDEWEB)

    Amato, G. [ISTI-CNR, Area della Ricerca, Via Moruzzi 1, 56124, Pisa (Italy); Cristoforetti, G.; Legnaioli, S.; Lorenzetti, G.; Palleschi, V. [IPCF-CNR, Area della Ricerca, Via Moruzzi 1, 56124, Pisa (Italy); Sorrentino, F., E-mail: sorrentino@fi.infn.i [Dipartimento di Fisica e astronomia, Universita di Firenze, Polo Scientifico, via Sansone 1, 50019 Sesto Fiorentino (Italy); Istituto di Cibernetica CNR, via Campi Flegrei 34, 80078 Pozzuoli (Italy); Marwan Technology, c/o Dipartimento di Fisica ' E. Fermi' , Largo Pontecorvo 3, 56127 Pisa (Italy); Tognoni, E. [INO-CNR, Area della Ricerca, Via Moruzzi 1, 56124 Pisa (Italy)

    2010-08-15

    In this communication, we will illustrate an algorithm for automatic element identification in LIBS spectra which takes inspiration from the vector space model applied to text retrieval techniques. The vector space model prescribes that text documents and text queries are represented as vectors of weighted terms (words). Document ranking, with respect to relevance to a query, is obtained by comparing the vectors representing the documents with the vector representing the query. In our case, we represent elements and samples as vectors of weighted peaks, obtained from their spectra. The likelihood of the presence of an element in a sample is computed by comparing the corresponding vectors of weighted peaks. The weight of a peak is proportional to its intensity and to the inverse of the number of peaks, in the database, in its wavelength neighboring. We suppose to have a database containing the peaks of all elements we want to recognize, where each peak is represented by a wavelength and it is associated with its expected relative intensity and the corresponding element. Detection of elements in a sample is obtained by ranking the elements according to the distance of the associated vectors from the vector representing the sample. The application of this approach to elements identification using LIBS spectra obtained from several kinds of metallic alloys will be also illustrated. The possible extension of this technique towards an algorithm for fully automated LIBS analysis will be discussed.

  10. Progress towards an unassisted element identification from Laser Induced Breakdown Spectra with automatic ranking techniques inspired by text retrieval

    Science.gov (United States)

    Amato, G.; Cristoforetti, G.; Legnaioli, S.; Lorenzetti, G.; Palleschi, V.; Sorrentino, F.; Tognoni, E.

    2010-08-01

    In this communication, we will illustrate an algorithm for automatic element identification in LIBS spectra which takes inspiration from the vector space model applied to text retrieval techniques. The vector space model prescribes that text documents and text queries are represented as vectors of weighted terms (words). Document ranking, with respect to relevance to a query, is obtained by comparing the vectors representing the documents with the vector representing the query. In our case, we represent elements and samples as vectors of weighted peaks, obtained from their spectra. The likelihood of the presence of an element in a sample is computed by comparing the corresponding vectors of weighted peaks. The weight of a peak is proportional to its intensity and to the inverse of the number of peaks, in the database, in its wavelength neighboring. We suppose to have a database containing the peaks of all elements we want to recognize, where each peak is represented by a wavelength and it is associated with its expected relative intensity and the corresponding element. Detection of elements in a sample is obtained by ranking the elements according to the distance of the associated vectors from the vector representing the sample. The application of this approach to elements identification using LIBS spectra obtained from several kinds of metallic alloys will be also illustrated. The possible extension of this technique towards an algorithm for fully automated LIBS analysis will be discussed.

  11. Car Shoe

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    历史悠久的意大利制鞋商Car Shoe为日本爱知世界博览会意大利展团迎宾小姐设计的两款皮鞋,轻松休闲又不失高雅,完美再现Car Shoe的设计理念,其中一款舒适大方“Driving”软底鞋,白1963年上市至今,始终风靡全球,成为一代经典。布满黑色胶皮钉的鞋底,是Car Shoe鞋子的标志性特点,另有一款3.5厘米的矮跟 鞋,尽显女性独特魅力。

  12. A hybrid model for automatic identification of risk factors for heart disease.

    Science.gov (United States)

    Yang, Hui; Garibaldi, Jonathan M

    2015-12-01

    Coronary artery disease (CAD) is the leading cause of death in both the UK and worldwide. The detection of related risk factors and tracking their progress over time is of great importance for early prevention and treatment of CAD. This paper describes an information extraction system that was developed to automatically identify risk factors for heart disease in medical records while the authors participated in the 2014 i2b2/UTHealth NLP Challenge. Our approaches rely on several nature language processing (NLP) techniques such as machine learning, rule-based methods, and dictionary-based keyword spotting to cope with complicated clinical contexts inherent in a wide variety of risk factors. Our system achieved encouraging performance on the challenge test data with an overall micro-averaged F-measure of 0.915, which was competitive to the best system (F-measure of 0.927) of this challenge task.

  13. Automatic identification of web-based risk markers for health events

    DEFF Research Database (Denmark)

    Yom-Tov, Elad; Borsa, Diana; Hayward, Andrew C.

    2015-01-01

    Background: The escalating cost of global health care is driving the development of new technologies to identify early indicators of an individual's risk of disease. Traditionally, epidemiologists have identified such risk factors using medical databases and lengthy clinical studies but these are......, low-cost approach to automatically identify risk factors, and support more timely and personalized public health efforts to bring human and economic benefits.......Background: The escalating cost of global health care is driving the development of new technologies to identify early indicators of an individual's risk of disease. Traditionally, epidemiologists have identified such risk factors using medical databases and lengthy clinical studies...... but these are often limited in size and cost and can fail to take full account of diseases where there are social stigmas or to identify transient acute risk factors. Objective: Here we report that Web search engine queries coupled with information on Wikipedia access patterns can be used to infer health events...

  14. Automatic Control System of Car Glass Hot Bending Furnace Based on IPC+PLC control%基于IPC+PLC控制的汽车玻璃热弯炉自动控制系统

    Institute of Scientific and Technical Information of China (English)

    程雪利; 董志军; 杨用增

    2013-01-01

    In this paper ,a set of automatic control system based on IPC + PLC control car glass hot bending furnace was designed ,this system can realize the function of furnace wire power control ,fur-nace silk elevator control ,configuration king 6 .52 and PLC communication ,furnace cover movable con-trol ,plunger elevator control ,heat preservation control ,configuration king file read and real -time de-tection glass temperature ,and the others ,through the overall monitoring system ,operation panel and display panel realization man-machine conversation .%  设计了一套基于IPC+ PLC控制的汽车玻璃热弯炉自动控制系统,该系统可以实现炉丝功率调节、炉丝自动升降、组态王6.52和PLC通讯、炉盖开合控制、顶杆升降控制、保温控制、玻璃工艺文件保存读取及红外线实时检测玻璃温度等功能,通过监控软件、操作面板和温度仪表等实现人机对话。

  15. Automatic identification of NDA measured items: Use of E-tags

    Energy Technology Data Exchange (ETDEWEB)

    Chitumbo, K.; Olsen, R. [International Atomic Energy Agency (United States); Hatcher, C.R. [Los Alamos National Lab., NM (United States); Kadner, S.P. [Aquila Technologies Group, Inc. (United States)

    1995-07-01

    This paper describes how electronic identification devices or E-tags could reduce the time spent by LAEA inspectors making nondestructive assay (NDA) measurements. As one example, the use of E-tags with a high-level neutron coincidence counter (HLNC) is discussed in detail. Sections of the paper include inspection procedures, system description, software, and future plans. Mounting of E-tabs, modifications to the HLNC, and the use of tamper indicating devices are also discussed. The technology appears to have wide application to different types of nuclear facilities and inspections and could significantly change NDA inspection procedures.

  16. A smart pattern recognition system for the automatic identification of aerospace acoustic sources

    Science.gov (United States)

    Cabell, R. H.; Fuller, C. R.

    1989-01-01

    An intelligent air-noise recognition system is described that uses pattern recognition techniques to distinguish noise signatures of five different types of acoustic sources, including jet planes, propeller planes, a helicopter, train, and wind turbine. Information for classification is calculated using the power spectral density and autocorrelation taken from the output of a single microphone. Using this system, as many as 90 percent of test recordings were correctly identified, indicating that the linear discriminant functions developed can be used for aerospace source identification.

  17. Variable identification and automatic tuning of the main module of a servo system of parallel mechanism

    Institute of Scientific and Technical Information of China (English)

    YANG Zhiyong; XU Meng; HUANG Tian; NI Yanbing

    2007-01-01

    The variables of the main module of a servo system for miniature reconfigurable parallel mechanism were identified and automatically tuned. With the reverse solution module of the translation, the module with the exerted translation joint was obtained, which included the location, velocity and acceleration of the parallelogram carriage- branch. The rigid dynamic reverse model was set as the virtual work principle. To identify the variables of the servo system, the triangle-shaped input signal with variable frequency was adopted to overcome the disadvantages of the pseudo-random number sequence, i.e., making the change of the vibration amplitude of the motor dramatically, easily impact the servo motor and make the velocity loop open and so on. Moreover, all the variables including,the rotary inertia of the servo system were identified by the additive mass. The overshoot and rise time were the optimum goals, the limited changing load with the attitude was considered, and the range of the controller variables in the servo system was identified. The results of the experiments prove that the method is accurate.

  18. Automatic identification of mobile and rigid substructures in molecular dynamics simulations and fractional structural fluctuation analysis.

    Directory of Open Access Journals (Sweden)

    Leandro Martínez

    Full Text Available The analysis of structural mobility in molecular dynamics plays a key role in data interpretation, particularly in the simulation of biomolecules. The most common mobility measures computed from simulations are the Root Mean Square Deviation (RMSD and Root Mean Square Fluctuations (RMSF of the structures. These are computed after the alignment of atomic coordinates in each trajectory step to a reference structure. This rigid-body alignment is not robust, in the sense that if a small portion of the structure is highly mobile, the RMSD and RMSF increase for all atoms, resulting possibly in poor quantification of the structural fluctuations and, often, to overlooking important fluctuations associated to biological function. The motivation of this work is to provide a robust measure of structural mobility that is practical, and easy to interpret. We propose a Low-Order-Value-Optimization (LOVO strategy for the robust alignment of the least mobile substructures in a simulation. These substructures are automatically identified by the method. The algorithm consists of the iterative superposition of the fraction of structure displaying the smallest displacements. Therefore, the least mobile substructures are identified, providing a clearer picture of the overall structural fluctuations. Examples are given to illustrate the interpretative advantages of this strategy. The software for performing the alignments was named MDLovoFit and it is available as free-software at: http://leandro.iqm.unicamp.br/mdlovofit.

  19. Automatic identification of critical follow-up recommendation sentences in radiology reports.

    Science.gov (United States)

    Yetisgen-Yildiz, Meliha; Gunn, Martin L; Xia, Fei; Payne, Thomas H

    2011-01-01

    Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. When recommendations are not systematically identified and promptly communicated to referrers, poor patient outcomes can result. Using information technology can improve communication and improve patient safety. In this paper, we describe a text processing approach that uses natural language processing (NLP) and supervised text classification methods to automatically identify critical recommendation sentences in radiology reports. To increase the classification performance we enhanced the simple unigram token representation approach with lexical, semantic, knowledge-base, and structural features. We tested different combinations of those features with the Maximum Entropy (MaxEnt) classification algorithm. Classifiers were trained and tested with a gold standard corpus annotated by a domain expert. We applied 5-fold cross validation and our best performing classifier achieved 95.60% precision, 79.82% recall, 87.0% F-score, and 99.59% classification accuracy in identifying the critical recommendation sentences in radiology reports.

  20. Automatic Screening of Missing Objects and Identification with Group Coding of RF Tags

    Directory of Open Access Journals (Sweden)

    G. Vijayaraju

    2013-11-01

    Full Text Available Here the container of the shipping based phenomena it is a collection of the objects in a well oriented fashion by which there is a group oriented fashion related to the well efficient strategy of the objects based on the physical phenomena in a well efficient fashion respectively. Here by the enabling of the radio frequency identification based strategy in which object identification takes place in the system in a well efficient fashion and followed by the container oriented strategy in a well effective fashion respectively. Here there is a problem with respect to the present strategy in which there is a problem with respect to the design oriented mechanism by which there is a no proper analysis takes place for the accurate identification of the objects based on the missing strategy plays a major role in the system based aspect respectively. Here a new technique is proposed in order to overcome the problem of the previous method here the present design oriented powerful strategy includes the object oriented determination of the ID based on the user oriented phenomena in a well effective manner where the data related to the strategy of the missing strategy plays a major role in the system based aspect in a well effective fashion by which that is from the perfect analysis takes place from the same phenomena without the help of the entire database n a well respective fashion takes place in the system respectively. Here the main key aspect of the present method is to effectively divide the entire data related to the particular aspect and define based on the present strategy in a well effective manner in which there is coordination has to be maintained in the system based aspect respectively. Simulations have been conducted on the present method and a lot of analysis takes place on the large number of the data sets in a well oriented fashion with respect to the different environmental conditions where there is an accurate analysis with respect to

  1. An Automatic Quality Control Pipeline for High-Throughput Screening Hit Identification.

    Science.gov (United States)

    Zhai, Yufeng; Chen, Kaisheng; Zhong, Yang; Zhou, Bin; Ainscow, Edward; Wu, Ying-Ta; Zhou, Yingyao

    2016-09-01

    The correction or removal of signal errors in high-throughput screening (HTS) data is critical to the identification of high-quality lead candidates. Although a number of strategies have been previously developed to correct systematic errors and to remove screening artifacts, they are not universally effective and still require fair amount of human intervention. We introduce a fully automated quality control (QC) pipeline that can correct generic interplate systematic errors and remove intraplate random artifacts. The new pipeline was first applied to ~100 large-scale historical HTS assays; in silico analysis showed auto-QC led to a noticeably stronger structure-activity relationship. The method was further tested in several independent HTS runs, where QC results were sampled for experimental validation. Significantly increased hit confirmation rates were obtained after the QC steps, confirming that the proposed method was effective in enriching true-positive hits. An implementation of the algorithm is available to the screening community.

  2. Automatic Whole-Spectrum Matching Techniques for Identification of Pure and Mixed Minerals using Raman Spectroscopy

    Science.gov (United States)

    Dyar, M. D.; Carey, C. J.; Breitenfeld, L.; Tague, T.; Wang, P.

    2015-12-01

    In situuse of Raman spectroscopy on Mars is planned for three different instruments in the next decade. Although implementations differ, they share the potential to identify surface minerals and organics and inform Martian geology and geochemistry. Their success depends on the availability of appropriate databases and software for phase identification. For this project, we have consolidated all known publicly-accessible Raman data on minerals for which independent confirmation of phase identity is available, and added hundreds of additional spectra acquired using varying instruments and laser energies. Using these data, we have developed software tools to improve mineral identification accuracy. For pure minerals, whole-spectrum matching algorithms far outperform existing tools based on diagnostic peaks in individual phases. Optimal matching accuracy does depend on subjective end-user choices for data processing (such as baseline removal, intensity normalization, and intensity squashing), as well as specific dataset characteristics. So, to make this tuning process amenable to automated optimization methods, we developed a machine learning-based generalization of these choices within a preprocessing and matching framework. Our novel method dramatically reduces the burden on the user and results in improved matching accuracy. Moving beyond identifying pure phases into quantification of relative abundances is a complex problem because relationships between peak intensity and mineral abundance are obscured by complicating factors: exciting laser frequency, the Raman cross section of the mineral, crystal orientation, and long-range chemical and structural ordering in the crystal lattices. Solving this un-mixing problem requires adaptation of our whole-spectrum algorithms and a large number of test spectra of minerals in known volume proportions, which we are creating for this project. Key to this effort is acquisition of spectra from mixtures of pure minerals paired

  3. Increasing Accuracy: A New Design and Algorithm for Automatically Measuring Weights, Travel Direction and Radio Frequency Identification (RFID) of Penguins.

    Science.gov (United States)

    Afanasyev, Vsevolod; Buldyrev, Sergey V; Dunn, Michael J; Robst, Jeremy; Preston, Mark; Bremner, Steve F; Briggs, Dirk R; Brown, Ruth; Adlard, Stacey; Peat, Helen J

    2015-01-01

    A fully automated weighbridge using a new algorithm and mechanics integrated with a Radio Frequency Identification System is described. It is currently in use collecting data on Macaroni penguins (Eudyptes chrysolophus) at Bird Island, South Georgia. The technology allows researchers to collect very large, highly accurate datasets of both penguin weight and direction of their travel into or out of a breeding colony, providing important contributory information to help understand penguin breeding success, reproductive output and availability of prey. Reliable discrimination between single and multiple penguin crossings is demonstrated. Passive radio frequency tags implanted into penguins allow researchers to match weight and trip direction to individual birds. Low unit and operation costs, low maintenance needs, simple operator requirements and accurate time stamping of every record are all important features of this type of weighbridge, as is its proven ability to operate 24 hours a day throughout a breeding season, regardless of temperature or weather conditions. Users are able to define required levels of accuracy by adjusting filters and raw data are automatically recorded and stored allowing for a range of processing options. This paper presents the underlying principles, design specification and system description, provides evidence of the weighbridge's accurate performance and demonstrates how its design is a significant improvement on existing systems.

  4. Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal

    Directory of Open Access Journals (Sweden)

    Malik M. Naeem Mannan

    2016-02-01

    Full Text Available Contamination of eye movement and blink artifacts in Electroencephalogram (EEG recording makes the analysis of EEG data more difficult and could result in mislead findings. Efficient removal of these artifacts from EEG data is an essential step in improving classification accuracy to develop the brain-computer interface (BCI. In this paper, we proposed an automatic framework based on independent component analysis (ICA and system identification to identify and remove ocular artifacts from EEG data by using hybrid EEG and eye tracker system. The performance of the proposed algorithm is illustrated using experimental and standard EEG datasets. The proposed algorithm not only removes the ocular artifacts from artifactual zone but also preserves the neuronal activity related EEG signals in non-artifactual zone. The comparison with the two state-of-the-art techniques namely ADJUST based ICA and REGICA reveals the significant improved performance of the proposed algorithm for removing eye movement and blink artifacts from EEG data. Additionally, results demonstrate that the proposed algorithm can achieve lower relative error and higher mutual information values between corrected EEG and artifact-free EEG data.

  5. 基于DSP的自动指纹识别系统%Automatic Fingerprint Identification System Based on DSP

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

    According to real - time ,accuracy ,low power consumption ,small volume ,portable request of the security access control system ,this paper proposed automatic fingerprint identification system based on DSP TMS320VC5509A and fingerprint acquisition sensor MBF310 .The system uses finger-print image matching algorithm based on fingerprint ridge line difference degree .The algorithm was used in DSP TMS320VC5509A successfully ,and improved the detection accuracy . The experiments show that the system has a higher intelligent and good stability .%  针对安全访问控制系统的实时性、精确性、低功耗、体积小、便携式等要求,提出一种基于 DSP TMS320VC5509A和指纹采集传感器 MBF310的自动指纹识别系统。该系统使用的基于指纹脊线差异度的指纹图像匹配算法应用于 DSP之中,提高了检测的准确性。实验表明,整个系统具有良好的智能化和稳定性。

  6. Increasing Accuracy: A New Design and Algorithm for Automatically Measuring Weights, Travel Direction and Radio Frequency Identification (RFID of Penguins.

    Directory of Open Access Journals (Sweden)

    Vsevolod Afanasyev

    Full Text Available A fully automated weighbridge using a new algorithm and mechanics integrated with a Radio Frequency Identification System is described. It is currently in use collecting data on Macaroni penguins (Eudyptes chrysolophus at Bird Island, South Georgia. The technology allows researchers to collect very large, highly accurate datasets of both penguin weight and direction of their travel into or out of a breeding colony, providing important contributory information to help understand penguin breeding success, reproductive output and availability of prey. Reliable discrimination between single and multiple penguin crossings is demonstrated. Passive radio frequency tags implanted into penguins allow researchers to match weight and trip direction to individual birds. Low unit and operation costs, low maintenance needs, simple operator requirements and accurate time stamping of every record are all important features of this type of weighbridge, as is its proven ability to operate 24 hours a day throughout a breeding season, regardless of temperature or weather conditions. Users are able to define required levels of accuracy by adjusting filters and raw data are automatically recorded and stored allowing for a range of processing options. This paper presents the underlying principles, design specification and system description, provides evidence of the weighbridge's accurate performance and demonstrates how its design is a significant improvement on existing systems.

  7. Large data analysis: automatic visual personal identification in a demography of 1.2 billion persons

    Science.gov (United States)

    Daugman, John

    2014-05-01

    The largest biometric deployment in history is now underway in India, where the Government is enrolling the iris patterns (among other data) of all 1.2 billion citizens. The purpose of the Unique Identification Authority of India (UIDAI) is to ensure fair access to welfare benefits and entitlements, to reduce fraud, and enhance social inclusion. Only a minority of Indian citizens have bank accounts; only 4 percent possess passports; and less than half of all aid money reaches its intended recipients. A person who lacks any means of establishing their identity is excluded from entitlements and does not officially exist; thus the slogan of UIDAI is: To give the poor an identity." This ambitious program enrolls a million people every day, across 36,000 stations run by 83 agencies, with a 3-year completion target for the entire national population. The halfway point was recently passed with more than 600 million persons now enrolled. In order to detect and prevent duplicate identities, every iris pattern that is enrolled is first compared against all others enrolled so far; thus the daily workflow now requires 600 trillion (or 600 million-million) iris cross-comparisons. Avoiding identity collisions (False Matches) requires high biometric entropy, and achieving the tremendous match speed requires phase bit coding. Both of these requirements are being delivered operationally by wavelet methods developed by the author for encoding and comparing iris patterns, which will be the focus of this Large Data Award" presentation.

  8. Multispectral hypercolorimetry and automatic guided pigment identification: some masterpieces case studies

    Science.gov (United States)

    Melis, Marcello; Miccoli, Matteo; Quarta, Donato

    2013-05-01

    A couple of years ago we proposed, in this same session, an extension to the standard colorimetry (CIE '31) that we called Hypercolorimetry. It was based on an even sampling of the 300-1000nm wavelength range, with the definition of 7 hypercolor matching functions optimally shaped to minimize the methamerism. Since then we consolidated the approach through a large number of multispectral analysis and specialized the system to the non invasive diagnosis for paintings and frescos. In this paper we describe the whole process, from the multispectral image acquisition to the final 7 bands computation and we show the results on paintings from Masters of the colour. We describe and propose in this paper a systematic approach to the non invasive diagnosis that is able to change a subjective analysis into a repeatable measure indipendent from the specific lighting conditions and from the specific acquisition system. Along with the Hypercolorimetry and its consolidation in the field of non invasive diagnosis, we developed also a standard spectral reflectance database of pure pigments and pigments painted with different bindings. As we will see, this database could be compared to the reflectances of the painting to help the diagnostician in identifing the proper matter. We used a Nikon D800FR (Full Range) camera. This is a 36megapixel reflex camera modified under a Nikon/Profilocolore common project, to achieve a 300-1000nm range sensitivity. The large amount of data allowed us to perform very accurate pixels comparisions, based on their spectral reflectance. All the original pigments and their binding have been provided by the Opificio delle Pietre Dure, Firenze, Italy, while the analyzed masterpieces belong to the collection of the Pinacoteca Nazionale of Bologna, Italy.

  9. Identification and expression analysis of carboxylesterase gene BrnCarE.9 in Bombyx mori%家蚕羧酸酯酶基因BmCarE-9的鉴定与表达分析

    Institute of Scientific and Technical Information of China (English)

    林超; 李兵; 王东; 赵国栋; 卫正国; 陈玉华; 沈卫德

    2011-01-01

    Carboxylesterase is a multifunctional superfamily. To determine the function of carboxylesterase in different tissues of Bombyx mori, we cloned a carboxylesterase gene named BmCarE-9 (GenBank accession no. EU523534) from B. mori by using rapid amplification of cDNA ends (RACE) and reverse transcription polymerase chain reaction (RT-PCR) methods. BmCarE-9 contains a 1 680 bp open reading frame (ORF), which encodes 559 amino acids. This cDNA-deduced protein BmCarE-9 has a predicted molecular weight (MW) of 64.2 kD, and isoelectric point (pi) of 7.13. Structure analysis showed that BmCarE-9 has a similar catalytic triad in which two residues have changed. We investigated the developmental expression patterns of BmCarE-9 in different tissues of the Day-3 5th instar larvae and in silk glands of different day-old 5th instar larvae by real-time quantitative PCR. The results showed that BmCarE9 was expressed specifically in silk glands at high levels, and mainly expressed in the median and posterior silk glands. Furthermore, the expression of BmCarE-9 increased as silk glands developed, and decreased at the end of 5th instar stage. It is so inferred that BmCarE-9 might be involved in the development of silk glands or the synthesis of silk proteins.%羧酸酯酶是一个多功能超家族酶类,为研究羧酸酯酶基因在家蚕Bombyx mori组织中的功能,利用5′/3′RACE和RT-PCR方法克隆了一个家蚕羧酸酯酶基因BmCarE-9,其GenBank登录号为EU523534.该基因含有一个1 680 bp的ORF,编码559个氨基酸.BmCarE-9预测的分子量64.2kD,等电点7.13,结构分析表明BmCarE-9存在一个类似的催化三联体,其中两个残基发生改变.利用实时荧光定量PCR方法研究了该基因在家蚕5龄第3天幼虫不同组织以及在5龄期各日龄幼虫丝腺组织中的表达水平.结果表明,该基因在丝腺中特异性高表达,且主要在中部和后部丝腺中表达.该基因在5龄期随着丝腺的生长发育表达量逐渐

  10. Automatic identification and placement of measurement stations for hydrological discharge simulations at basin scale

    Science.gov (United States)

    Grassi, P. R.; Ceppi, A.; Cancarè, F.; Ravazzani, G.; Mancini, M.; Sciuto, D.

    2012-04-01

    corresponding data is used, and false that it is not used. Using this definition of the solution space it is possible to apply various optimization algorithms such as genetics and simulated annealing. Iterating on a large set of possible configurations these algorithms provide the set of Pareto-optimal solutions, i.e. the number of measuring points is minimized while the forecasting accuracy is maximised. The identified Pareto curve is approximate, since the identification of the complete Pareto curve is practically impossible due to the large amount of possible configurations. From the experimental results, as expected, we notice that a certain set of weather data are essential for hydrological simulations while other are negligible. Combining the outcome of different optimization algorithms is possible to extract a reliable set of rules to place measurement stations for forecasting monitoring.

  11. Combining Facial Recognition, Automatic License Plate Readers and Closed Circuit Television to Create an Interstate Identification System for Wanted Subjects

    Science.gov (United States)

    2015-12-01

    CCTV.52 The most common uses for CCTV by police are in car videos, interrogations rooms and ingress and egress into governmental buildings. Law...Law enforcement officials have been turning to social media sites such as Google +, Facebook and Twitter to collect and compare photographs of...tracking device to track a car through public streets.”118 The Court ruled that the use of this enhanced technology, deployed in the manner it was used in

  12. Google Earth Visualizations of the Marine Automatic Identification System (AIS): Monitoring Ship Traffic in National Marine Sanctuaries

    Science.gov (United States)

    Schwehr, K.; Hatch, L.; Thompson, M.; Wiley, D.

    2007-12-01

    The Automatic Identification System (AIS) is a new technology that provides ship position reports with location, time, and identity information without human intervention from ships carrying the transponders to any receiver listening to the broadcasts. In collaboration with the USCG's Research and Development Center, NOAA's Stellwagen Bank National Marine Sanctuary (SBNMS) has installed 3 AIS receivers around Massachusetts Bay to monitor ship traffic transiting the sanctuary and surrounding waters. The SBNMS and the USCG also worked together propose the shifting the shipping lanes (termed the traffic separation scheme; TSS) that transit the sanctuary slightly to the north to reduce the probability of ship strikes of whales that frequent the sanctuary. Following approval by the United Nation's International Maritime Organization, AIS provided a means for NOAA to assess changes in the distribution of shipping traffic caused by formal change in the TSS effective July 1, 2007. However, there was no easy way to visualize this type of time series data. We have created a software package called noaadata-py to process the AIS ship reports and produce KML files for viewing in Google Earth. Ship tracks can be shown changing over time to allow the viewer to feel the motion of traffic through the sanctuary. The ship tracks can also be gridded to create ship traffic density reports for specified periods of time. The density is displayed as map draped on the sea surface or as vertical histogram columns. Additional visualizations such as bathymetry images, S57 nautical charts, and USCG Marine Information for Safety and Law Enforcement (MISLE) can be combined with the ship traffic visualizations to give a more complete picture of the maritime environment. AIS traffic analyses have the potential to give managers throughout NOAA's National Marine Sanctuaries an improved ability to assess the impacts of ship traffic on the marine resources they seek to protect. Viewing ship traffic

  13. pBiG-CAR真核表达载体的构建及鉴定%Construction and identification of pBiG-CAR eukaryotic expression vector

    Institute of Scientific and Technical Information of China (English)

    姜苗苗; 申景岭; 孙唐娜; 王凤梅; 王帆; 白景玉; 卢少玲; 张烁

    2013-01-01

    目的 构建及鉴定pBiG-CAR真核表达载体.方法 提取C57BL/6胎鼠总RNA,逆转录合成cDNA,经PCR扩增获得CAR基因,与双酶切的pBlue质粒连接,经转化、蓝白筛选及测序鉴定pBlue-CAR载体构建成功.扩增pBlue-CAR的CAR基因,经双酶切后与pBiG质粒连接,构建pBiG-CAR真核表达载体.结果 经琼脂糖凝胶电泳,获得目的基因CAR条带,pBlue-CAR目标条带及pBiG-CAR目标条带.基因测序证实所检测重组质粒序列与pBiG-CAR序列完全一致.结论 克隆C57BL/6鼠CAR基因、pBlue-CAR重组质粒的构建获得成功,并初步证实pBiG-CAR真核表达载体的构建获得成功,为进一步构建可控心肌特异性CAR过表达转基因鼠提供基础.%Objective To construct pBiG-CAR eukaryotic expression vector and identify it.Methods Total RNA was prepared from hearts of fetal C57BL/6 mice to obtain the cDNA by reverse transcription polymerase chain reaction (PCR).The DNA of coxsckievirus-adenovirus receptor(CAR) was amplified using PCR,and was double digested by enzymes to be ligated with pBlue.The recombinant vector pBlue-CAR was identified by blue white screening with transfromation and DNA sequencing.To ligate DNA with pBiG,CAR was amplified from pBlue-CAR using PCR and double digested by enzymes.Results The obtaining of target gene CAR was confirmed through electrophoresis analysis.The gene band of recombinant vector pBlue-CAR and pBiG-CAR was confirmed by restriction enzyme digestion and electrophoresis analysis.The sequence of recombinant vector showed on difference,as compared with pBiG-CAR by DNA sequescing.Conclusion The DNA of CAR is successfully cloned.The pBlue-CAR and pBiG-CAR are both successfully constructed.It can provide the basis for construction of conditional cardiomyocyte-targeted CAR overexpressing mice.

  14. PC-based car license plate reader

    Science.gov (United States)

    Hwang, Chung-Mu; Shu, Shyh-Yeong; Chen, Wen-Yu; Chen, Yie-Wern; Wen, Kuang-Pu

    1992-11-01

    A car license plate reader (CLPR) using fuzzy inference and neural network algorithm has been developed in Industrial Technology Research Institute (ITRI) and installed in highway toll stations to identify stolen cars. It takes an average of 0.7 seconds to recognize a car license plate by using a PC with 80486-50 CPU. The recognition rate of the system is about 97%. The techniques of CLPR include vehicle sensing, image grab control, optic pre- processing, lighting, and optic character recognition (OCR). The CLPR can be used in vehicle flow statistics, the checking of stolen vehicles, automatic charging systems in parking lots or garage management, and so on.

  15. Jet Car Track Site

    Data.gov (United States)

    Federal Laboratory Consortium — Located in Lakehurst, New Jersey, the Jet Car Track Site supports jet cars with J57 engines and has a maximum jet car thrust of 42,000 pounds with a maximum speed of...

  16. 基于路径识别的寻迹智能车设计与实现%The design and implementation of tracing smart car based on path identification

    Institute of Scientific and Technical Information of China (English)

    孙书诚; 郎朗; 王虎

    2012-01-01

    In order to realize smart car's automatic tracing along the path leading line,a smart car system with model car as the hardware platform was developed.This system employs COMS camera to achieve road information,depends on the steering gear to control the smart car's direction,adopts the closed loop PI control dc motor to drive the smart car to move forward.The accuracy of the image information is the precondition for smart car's steering and speed control.In order to obtain more accurate image information,the image processing algorithm should be improved.This design realized the smart car's stability and fast driving function along the leading line.The experiment shows that the scheme can help smart car to get a nice autonomous tracing effect along the leading line.%为了实现智能车沿道路上引导线自动寻迹,研制一种基于模型汽车为硬件平台的智能车系统.该系统通过采用改进的边缘检测算法对COMS摄像头捕获的道路信息进行处理,在获取更准确图像的基础上,依靠舵机进行方向控制,通过闭环PI控制电机驱动智能车前进.本设计实现了智能车沿引导线稳定、快速行驶的功能.实验表明,此设计方案提高了智能车运行速度和稳定性.

  17. Automatic Identification and Alert of Gust Fronts%阵风锋自动识别与预警

    Institute of Scientific and Technical Information of China (English)

    郑佳锋; 张杰; 朱克云; 刘艳霞; 张涛

    2013-01-01

    technique are used during above processes. According to the consistency of narrowband and the convergence line in the space, the gust front can be identified. The achievement of alert function u-ses ah image flicker and some physical quantities output to represent the strength of the gust front. Finally, 98 volume-scanning data from 3 radar stations and the automatic weather station data and ICS are used to evaluate the identification effect. The bilateral grads algorithm can effectively filter out the big range precipitation echo and keep the narrowband signal, it has an important relationship with the distance between the narrowband and maternal storm echo. Combined with the composite reflectivity to contrast all-layer reflectivity, the narrowband or the stronger reflectivity doesn't exist at the higher elevation, therefore, the algorithm simply handles the low elevation, which can improve the identification efficiency. The convergence line can be identified effectively by this method, and at the same time, it can also identify the low-level wind shear. The identification rate evaluated by Ics from 98 volume-scanning data reaches 68. 4%, indicating that the identification algorithm has the capacity of identifying gust fronts.

  18. Car Club

    CERN Multimedia

    Automobile Club

    2012-01-01

    The Car Club wishes all its members Good road and Happy New Year 2012. It is time to think about renewing your subscription for this year, at a cost of 50 CHF, unchanged since several years. For those of you who are regular users of our equipment and who know all the advantages that the club is in a position to offer, it seems pointless to going to more details, as we are sure that many of you have made use of them and are satisfied. Therefore don’t forget to fill in the payment slip to continue to be a part of our large family. We remind you that everyone who works on the CERN site can be members of our club, this includes industrial support personnel and the personnel of companies which have a contract with CERN. If you are not yet a member, come and visit us! We will be happy to welcome you and show you the installations, alternatively you can visit our web site: http://club-acc.web.cern.ch/club-acc/ The use of the club’s installations is strictly reserved for members. Pour t...

  19. 彩色比特码自动识别技术在图书馆中的应用研究%Application Research on Color Bit Code Automatic Identification technology in the Libraries

    Institute of Scientific and Technical Information of China (English)

    李海华

    2012-01-01

    This paper introduces the basic identification principles and features of Color Bit Code Automatic Identification technology the application of the technology in many fields of foreign, analyzes the feasibility of domestic libraries by using Color Bit Code Automatic Identification technology. In the end of this paper, the paper has put forward the format of Color Bit Code Automatic Identification technology protocol.%对彩色比特码的定义及工作原理进行了概述,简单介绍了该技术在国外各领域的应用现状,分析了目前国内在图书馆领域应用彩色比特码自动识别技术的可行性,并提出了一种基于彩色比特码技术的图书管理协议格式。

  20. IMPLEMENTATION OF IMAGE PROCESSING IN REAL TIME CAR PARKING SYSTEM

    OpenAIRE

    2011-01-01

    Car parking lots are an important object class in many traffic and civilian applications. With the problems of increasing urban trafficcongestion and the ever increasing shortage of space, these car parking lots are needed to be well equipped with automatic parkingInformation and Guidance systems. Goals of intelligent parking lot management include counting the number of parked cars, and identifyingthe available location. This work proposes a new system for providing parking information and g...

  1. Floating car data for traffic monitoring

    DEFF Research Database (Denmark)

    Torp, Kristian; Lahrmann, Harry Spaabæk

    2005-01-01

    This paper describes a complete prototype system that uses Floating Car Data (FCD) for both automatic and manual detection of queues in traffic. The system is developed under EU’s Tempo program. The systems consists of small hardware units placed in mobile traffic report units (we use taxis...

  2. Women and Cars

    Institute of Scientific and Technical Information of China (English)

    1996-01-01

    JUST a decade ago, private cars were far too luxurious for Chinese people; most of them never even dreamed of having a car. In the Chinese language, a car is called "jiao che", which literally means "sedan automobile." The fact that a car is referred to as a sedan, a luxury only available to officials in old China, reveals Chinese people’s idea that cars are separated by an impassable gulf from ordinary people.

  3. Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle.

    Science.gov (United States)

    Diaz-Varela, R A; Zarco-Tejada, P J; Angileri, V; Loudjani, P

    2014-02-15

    Agricultural terraces are features that provide a number of ecosystem services. As a result, their maintenance is supported by measures established by the European Common Agricultural Policy (CAP). In the framework of CAP implementation and monitoring, there is a current and future need for the development of robust, repeatable and cost-effective methodologies for the automatic identification and monitoring of these features at farm scale. This is a complex task, particularly when terraces are associated to complex vegetation cover patterns, as happens with permanent crops (e.g. olive trees). In this study we present a novel methodology for automatic and cost-efficient identification of terraces using only imagery from commercial off-the-shelf (COTS) cameras on board unmanned aerial vehicles (UAVs). Using state-of-the-art computer vision techniques, we generated orthoimagery and digital surface models (DSMs) at 11 cm spatial resolution with low user intervention. In a second stage, these data were used to identify terraces using a multi-scale object-oriented classification method. Results show the potential of this method even in highly complex agricultural areas, both regarding DSM reconstruction and image classification. The UAV-derived DSM had a root mean square error (RMSE) lower than 0.5 m when the height of the terraces was assessed against field GPS data. The subsequent automated terrace classification yielded an overall accuracy of 90% based exclusively on spectral and elevation data derived from the UAV imagery.

  4. 30 CFR 75.1404 - Automatic brakes; speed reduction gear.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Automatic brakes; speed reduction gear. 75.1404... Automatic brakes; speed reduction gear. Each locomotive and haulage car used in an underground coal mine... brakes, locomotives and haulage cars shall be subject to speed reduction gear, or other similar...

  5. Car park mapping with simultaneous localisation and mapping (SLAM)

    OpenAIRE

    2004-01-01

    voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/Tay04/ type: Mémoire de Diplôme d'Études Approfondies institution: Inst. Nat. Polytechnique de Grenoble; One of the challenges in the automation of vehicles takes place in the car park. Automatic vehicles must be able to localize itself accurately and build a map of the car park in real time. This capability will be able to extend the range of possible applications including the tracking of car park lots availability, automatic naviga...

  6. Application of US Military Logistics Automatic Identification Technology and Its Enlightenments%美军后勤自动识别技术的应用及启示

    Institute of Scientific and Technical Information of China (English)

    王淼; 李孟研; 陈宝锋

    2011-01-01

    The paper presents the main types and technology trait of the automatic identification technology,analyzes its selection and application in the US military logistics,it provides enlightenments on Chinese military logistics automatic identification technology.%概述了目前自动识别技术的主要类型与技术特点,分析了美军后勤领域对自动识别技术的选择及其应用情况,为我军后勤自动识别技术的发展建设提出了启示。

  7. Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation

    Science.gov (United States)

    Hoffman, Joanne; Liu, Jiamin; Turkbey, Evrim; Kim, Lauren; Summers, Ronald M.

    2015-03-01

    Station-labeling of mediastinal lymph nodes is typically performed to identify the location of enlarged nodes for cancer staging. Stations are usually assigned in clinical radiology practice manually by qualitative visual assessment on CT scans, which is time consuming and highly variable. In this paper, we developed a method that automatically recognizes the lymph node stations in thoracic CT scans based on the anatomical organs in the mediastinum. First, the trachea, lungs, and spines are automatically segmented to locate the mediastinum region. Then, eight more anatomical organs are simultaneously identified by multi-atlas segmentation. Finally, with the segmentation of those anatomical organs, we convert the text definitions of the International Association for the Study of Lung Cancer (IASLC) lymph node map into patient-specific color-coded CT image maps. Thus, a lymph node station is automatically assigned to each lymph node. We applied this system to CT scans of 86 patients with 336 mediastinal lymph nodes measuring equal or greater than 10 mm. 84.8% of mediastinal lymph nodes were correctly mapped to their stations.

  8. The Socialist Car

    DEFF Research Database (Denmark)

    Christensen, Lars K.

    2013-01-01

    Review of L.H. Siegelbaum (ed.) The Socialist Car. Automobility in the Eastern Block. Cornell University Press, 2011.......Review of L.H. Siegelbaum (ed.) The Socialist Car. Automobility in the Eastern Block. Cornell University Press, 2011....

  9. Trevi Park: Automatic Parking System

    OpenAIRE

    ECT Team, Purdue

    2007-01-01

    TreviPark is an underground, multi-story stacking system that holds cars efficiently, thus reducing the cost of each parking space, as a fully automatic parking system intended to maximize space utilization in parking structures. TreviPark costs less than the price of a conventional urban garage and takes up half the volume and 80% of the depth.

  10. Cars, Cycles, and Consumers.

    Science.gov (United States)

    Idleman, Hillis K. Ed.

    The purpose of this consumer education module is to provide information and skills, and the ability to raise questions and find answers, while seeking the best automobile or motorcycle buy available for the money. The module may be used for a full or part semester course. The five sections (cars and the consumer, renting and leasing cars, cars and…

  11. Intelligent Car System

    Directory of Open Access Journals (Sweden)

    Qasim Siddique

    2009-01-01

    Full Text Available In modern life the road safety has becomes the core issue. One single move of a driver can cause horrifying accident. The main goal of intelligent car system is to make communication with other cars on the road. The system is able to control to speed, direction and the distance between the cars the intelligent car system is able to recognize traffic light and is able to take decision according to it. This paper presents a framework of the intelligent car system. I validate several aspect of our system using simulation.

  12. Intelligent Car System

    CERN Document Server

    Siddique, Qasim

    2012-01-01

    In modern life the road safety has becomes the core issue. One single move of a driver can cause horrifying accident. The main goal of intelligent car system is to make communication with other cars on the road. The system is able to control to speed, direction and the distance between the cars the intelligent car system is able to recognize traffic light and is able to take decision according to it. This paper presents a framework of the intelligent car system. I validate several aspect of our system using simulation.

  13. An Amusing Car Accident

    Institute of Scientific and Technical Information of China (English)

    倪俊

    2001-01-01

    @@ It was about midnight. My son was riding in the back seat with a friend of his in a car driven by a Chinese schoolmate, when a police car suddenly approached from behind with its siren sounding ominously. The driver immediately stopped his car by the roadside and stepped out to see what was happening. Just at that moment, he seemed to hear a policeman shouting to him: “Back your car!” (Actually, his order was: “Go back into your car!”) Then the student set about backing his car. In a flurry, he went so far as to bump into the police car, which made the cops very much alarmed.

  14. CAR2 - Czech Database of Car Speech

    Directory of Open Access Journals (Sweden)

    P. Sovka

    1999-12-01

    Full Text Available This paper presents new Czech language two-channel (stereo speech database recorded in car environment. The created database was designed for experiments with speech enhancement for communication purposes and for the study and the design of a robust speech recognition systems. Tools for automated phoneme labelling based on Baum-Welch re-estimation were realised. The noise analysis of the car background environment was done.

  15. Finding $\\eta$ Car Analogs in Nearby Galaxies Using Spitzer: II. Identification of An Emerging Class of Extragalactic Self-Obscured Stars

    CERN Document Server

    Khan, Rubab; Stanek, K Z; Gerke, Jill

    2014-01-01

    Understanding the late-stage evolution of the most massive stars such as $\\eta$ Carinae is challenging because no true analogs of $\\eta$ Car have been clearly identified in the Milky Way or other galaxies. In Khan et. al. (2013), we utilized Spitzer IRAC images of $7$ nearby ($\\lesssim4$ Mpc) galaxies to search for such analogs, and found $34$ candidates with flat or red mid-IR spectral energy distributions. Here, in Paper II, we present our characterization of these candidates using multi-wavelength data from the optical through the far-IR. Our search detected no true analogs of $\\eta$ Car, which implies an eruption rate that is a fraction $0.01\\lesssim F \\lesssim 0.19$ of the ccSN rate. This is roughly consistent with each $M_{ZAMS} \\gtrsim 70M_\\odot$ star undergoing $1$ or $2$ outbursts in its lifetime. However, we do identify a significant population of $18$ lower luminosity $\\left(\\log(L/L_\\odot)\\simeq5.5-6.0\\right)$ dusty stars. Stars enter this phase at a rate that is fraction $0.09 \\lesssim F \\lesssim...

  16. Proliferating cell nuclear antigen (PCNA) allows the automatic identification of follicles in microscopic images of human ovarian tissue

    CERN Document Server

    Kelsey, Thomas W; Castillo, Luis; Wallace, W Hamish B; Gonzálvez, Francisco Cóppola; 10.2147/PLMI.S11116

    2010-01-01

    Human ovarian reserve is defined by the population of nongrowing follicles (NGFs) in the ovary. Direct estimation of ovarian reserve involves the identification of NGFs in prepared ovarian tissue. Previous studies involving human tissue have used hematoxylin and eosin (HE) stain, with NGF populations estimated by human examination either of tissue under a microscope, or of images taken of this tissue. In this study we replaced HE with proliferating cell nuclear antigen (PCNA), and automated the identification and enumeration of NGFs that appear in the resulting microscopic images. We compared the automated estimates to those obtained by human experts, with the "gold standard" taken to be the average of the conservative and liberal estimates by three human experts. The automated estimates were within 10% of the "gold standard", for images at both 100x and 200x magnifications. Automated analysis took longer than human analysis for several hundred images, not allowing for breaks from analysis needed by humans. O...

  17. Automatic Identification of Messages Related to Adverse Drug Reactions from Online User Reviews using Feature-based Classification.

    Directory of Open Access Journals (Sweden)

    Jingfang Liu

    2014-11-01

    Full Text Available User-generated medical messages on Internet contain extensive information related to adverse drug reactions (ADRs and are known as valuable resources for post-marketing drug surveillance. The aim of this study was to find an effective method to identify messages related to ADRs automatically from online user reviews.We conducted experiments on online user reviews using different feature set and different classification technique. Firstly, the messages from three communities, allergy community, schizophrenia community and pain management community, were collected, the 3000 messages were annotated. Secondly, the N-gram-based features set and medical domain-specific features set were generated. Thirdly, three classification techniques, SVM, C4.5 and Naïve Bayes, were used to perform classification tasks separately. Finally, we evaluated the performance of different method using different feature set and different classification technique by comparing the metrics including accuracy and F-measure.In terms of accuracy, the accuracy of SVM classifier was higher than 0.8, the accuracy of C4.5 classifier or Naïve Bayes classifier was lower than 0.8; meanwhile, the combination feature sets including n-gram-based feature set and domain-specific feature set consistently outperformed single feature set. In terms of F-measure, the highest F-measure is 0.895 which was achieved by using combination feature sets and a SVM classifier. In all, we can get the best classification performance by using combination feature sets and SVM classifier.By using combination feature sets and SVM classifier, we can get an effective method to identify messages related to ADRs automatically from online user reviews.

  18. Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

    Science.gov (United States)

    Liu, Zengjian; Chen, Yangxin; Tang, Buzhou; Wang, Xiaolong; Chen, Qingcai; Li, Haodi; Wang, Jingfeng; Deng, Qiwen; Zhu, Suisong

    2015-12-01

    De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informatics for Integrating Biology and Bedside) clinical natural language processing (NLP) challenge sets up a track for de-identification (track 1). In this study, we propose a hybrid system based on both machine learning and rule approaches for the de-identification track. In our system, PHI instances are first identified by two (token-level and character-level) conditional random fields (CRFs) and a rule-based classifier, and then are merged by some rules. Experiments conducted on the i2b2 corpus show that our system submitted for the challenge achieves the highest micro F-scores of 94.64%, 91.24% and 91.63% under the "token", "strict" and "relaxed" criteria respectively, which is among top-ranked systems of the 2014 i2b2 challenge. After integrating some refined localization dictionaries, our system is further improved with F-scores of 94.83%, 91.57% and 91.95% under the "token", "strict" and "relaxed" criteria respectively.

  19. Identification of Candidate Target Cyp Genes for microRNAs Whose Expression Is Altered by PCN and TCPOBOP, Representative Ligands of PXR and CAR.

    Science.gov (United States)

    Moriya, Nozomu; Kataoka, Hiromi; Nishikawa, Jun-Ichi; Kugawa, Fumihiko

    2016-08-01

    MicroRNAs (miRNAs) are small non-coding RNAs that are involved in mRNA post-transcriptional regulation. The deregulation of miRNAs affects the expression of drug-metabolizing enzymes, drug transporters, and nuclear receptors, all of which are important in regulating drug metabolism. miRNA expression can be altered by several endogenous or exogenous agents, such as steroid hormones, carcinogens, and therapeutic drugs. However, it is unclear whether hepatic miRNA expression is regulated by nuclear receptors, such as pregnane X receptor (PXR) and constitutive androstane receptor (CAR), which are indispensable for the expression of the CYPs. Here we investigated the effects of the mouse PXR and CAR ligands pregnenolone-16α-carbonitrile (PCN) and 1,4-bis[(3,5-dichloropyridin-2-yl)oxy]benzene (TCPOBOP) on hepatic miRNA expression in mice. We found that the expression of 9 miRNAs was increased (>2-fold) and of 4 miRNAs was decreased (>50%) in response to PCN, while TCPOBOP treatment led to the up-regulation of 8 miRNAs and down-regulation of 6 miRNAs. Using several miRNA target prediction algorithms, we found that the predicted target genes included several lesser known Cyp genes (Cyp1a1, Cyp1b1, Cyp2b10, Cyp2c38, Cyp2u1, Cyp4a12a/b, Cyp4v3, Cyp17a1, Cyp39a1, and Cyp51). We analyzed the expression of these genes in response to PCN and TCPOBOP and found changes in their mRNA levels, some of which were negatively correlated with the expression of their corresponding miRNAs, suggesting that miRNAs may play a role in regulating Cyp enzyme expression. Further studies will be required to fully elucidate the miRNA regulatory mechanisms that contribute to modulating CYP expression.

  20. Buying a New Car?

    Institute of Scientific and Technical Information of China (English)

    Paul; Maghielse

    2000-01-01

    You read it here first, folks: a car buying processthat first counsels its readers not to buy a car! Why?Because, no matter what mystical incantations a carsalesperson may whisper in your ear, cars are notinvestments. Certainly, there are a few exceptions to that rule,but in general. vehicles are what the accountantsamong us call depreciating assets. Think of a vehiclepurchase in comparison with the other big-ticketpurchases we make during our lifetimes. Buying a

  1. Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

    Science.gov (United States)

    Schuemie, Martijn J; Mazzaglia, Giampiero; Lapi, Francesco; Francesconi, Paolo; Pasqua, Alessandro; Bianchini, Elisa; Montalbano, Carmelo; Roberto, Giuseppe; Barletta, Valentina; Cricelli, Iacopo; Cricelli, Claudio; Dal Co, Giulia; Bellentani, Mariadonata; Sturkenboom, Miriam; Klazinga, Niek

    2016-01-01

    Objectives The Italian project MATRICE aimed to assess how well cases of type 2 diabetes (T2DM), hypertension, ischaemic heart disease (IHD) and heart failure (HF) and their levels of severity can be automatically extracted from the Health Search/CSD Longitudinal Patient Database (HSD). From the medical records of the general practitioners (GP) who volunteered to participate, cases were extracted by algorithms based on diagnosis codes, keywords, drug prescriptions and results of diagnostic tests. A random sample of identified cases was validated by interviewing their GPs. Setting HSD is a database of primary care medical records. A panel of 12 GPs participated in this validation study. Participants 300 patients were sampled for each disease, except for HF, where 243 patients were assessed. Outcome measures The positive predictive value (PPV) was assessed for the presence/absence of each condition against the GP's response to the questionnaire, and Cohen's κ was calculated for agreement on the severity level. Results The PPV was 100% (99% to 100%) for T2DM and hypertension, 98% (96% to 100%) for IHD and 55% (49% to 61%) for HF. Cohen's kappa for agreement on the severity level was 0.70 for T2DM and 0.69 for hypertension and IHD. Conclusions This study shows that individuals with T2DM, hypertension or IHD can be validly identified in HSD by automated identification algorithms. Automatic queries for levels of severity of the same diseases compare well with the corresponding clinical definitions, but some misclassification occurs. For HF, further research is needed to refine the current algorithm. PMID:27940627

  2. Car stickers for 2011

    CERN Multimedia

    GS Department

    2010-01-01

    The 2011 car stickers are now available. Holders of blue car stickers will receive their 2011 car stickers by internal mail as of 15 December.   Holders of red car stickers are kindly requested to come to the Registration Service (Building 55,1st floor) to renew their 2011 stickers. This service is open from Monday to Friday from 7.30 am to 5.30 pm non-stop. Documents for the vehicles concerned must be presented. Reception and Access Control Service – GS/ISG/SIS General Infrastructure Services Department

  3. Car stickers for 2012

    CERN Multimedia

    GS Department

    2011-01-01

    The 2012 car stickers are now available. Holders of blue car stickers will receive by internal mail their 2012 car stickers as of 5 December. Holders of red car stickers are kindly requested to come to the Registration Service (Building 55,1st floor) to renew their 2011 stickers. This service is open from Monday to Friday from 7.30 am to 5.30 pm non-stop. Documents related to the vehicles concerned are mandatory. Reception and Access Control Service – GS/IS/SIS General Infrastructure Services Department

  4. Automatic Frequency Identification under Sample Loss in Sinusoidal Pulse Width Modulation Signals Using an Iterative Autocorrelation Algorithm

    Directory of Open Access Journals (Sweden)

    Alejandro Said

    2016-08-01

    Full Text Available In this work, we present a simple algorithm to calculate automatically the Fourier spectrum of a Sinusoidal Pulse Width Modulation Signal (SPWM. Modulated voltage signals of this kind are used in industry by speed drives to vary the speed of alternating current motors while maintaining a smooth torque. Nevertheless, the SPWM technique produces undesired harmonics, which yield stator heating and power losses. By monitoring these signals without human interaction, it is possible to identify the harmonic content of SPWM signals in a fast and continuous manner. The algorithm is based in the autocorrelation function, commonly used in radar and voice signal processing. Taking advantage of the symmetry properties of the autocorrelation, the algorithm is capable of estimating half of the period of the fundamental frequency; thus, allowing one to estimate the necessary number of samples to produce an accurate Fourier spectrum. To deal with the loss of samples, i.e., the scan backlog, the algorithm iteratively acquires and trims the discrete sequence of samples until the required number of samples reaches a stable value. The simulation shows that the algorithm is not affected by either the magnitude of the switching pulses or the acquisition noise.

  5. Automatic Virtual Entity Simulation of Conceptual Design Results-Part I:Symbolic Scheme Generation and Identification

    Institute of Scientific and Technical Information of China (English)

    WANG Yu-xin; LI Yu-tong

    2014-01-01

    The development of new products of high quality, low unit cost, and short lead time to market are the key elements required for any enterprise to obtain a competitive advantage. For shorting the lead time to market and improving the creativity and performances of the product, a rule-based conceptual design approach and a methodology to simulate the conceptual design results generated in conceptual design process in automatical virtual entity form are presented in this paper. This part of paper presents a rule-based conceptual design method for generating creative conceptual design schemes of mechanisms based on Yan’s kinematic chain regeneration creative design method. The design rules are adopted to describe the design requirements of the functional characteristics, the connection relationships and topological characteristics among mechanisms. Through the graphs-based reasoning process, the conceptual design space is expanded extremely, and the potential creative conceptual design results are then dug out. By refining the design rules, the solution exploration problem is avioded, and the tendentious conceptual design schemes are generated. Since mechanical, electrical and hydraulic subsystems can be transformed into general mechansims, the conceptual design method presented in this paper can also be applied in the conceptual design problem of complex mechatronic systems. And then the method to identify conceptual design schemes is given.

  6. Automatic and rapid identification of glycopeptides by nano-UPLC-LTQ-FT-MS and proteomic search engine.

    Science.gov (United States)

    Giménez, Estela; Gay, Marina; Vilaseca, Marta

    2017-01-30

    Here we demonstrate the potential of nano-UPLC-LTQ-FT-MS and the Byonic™ proteomic search engine for the separation, detection, and identification of N- and O-glycopeptide glycoforms in standard glycoproteins. The use of a BEH C18 nanoACQUITY column allowed the separation of the glycopeptides present in the glycoprotein digest and a baseline-resolution of the glycoforms of the same glycopeptide on the basis of the number of sialic acids. Moreover, we evaluated several acquisition strategies in order to improve the detection and characterization of glycopeptide glycoforms with the maximum number of identification percentages. The proposed strategy is simple to set up with the technology platforms commonly used in proteomic labs. The method allows the straightforward and rapid obtention of a general glycosylated map of a given protein, including glycosites and their corresponding glycosylated structures. The MS strategy selected in this work, based on a gas phase fractionation approach, led to 136 unique peptides from four standard proteins, which represented 78% of the total number of peptides identified. Moreover, the method does not require an extra glycopeptide enrichment step, thus preventing the bias that this step could cause towards certain glycopeptide species. Data are available via ProteomeXchange with identifier PXD003578.

  7. Video-based automatic front-view human identification%视频下的正面人体身份自动识别

    Institute of Scientific and Technical Information of China (English)

    贲晛烨; 王科俊; 马慧

    2012-01-01

    A system was designed to automatically identify a person from a front-view angle in a video sequence, including the modules of Adaboost pedestrian detection, Adaboost face detection, complexion verification, gait preprocessing, period detection, feature extraction, and decision-making level amalgamation and identification. The face detection module and gait period detection module can be activated automatically by the pedestrian detection module. The experimental results show that the swinging arm region can be detected for obtaining the front-view gait period accurately with minimal computation, which is suitable for real-time gait recognition. Applying gait features assisted by face features to the decision-making level amalgamation method to solve human identification in a video sequence is a new idea. Even in gait recognition with a single sample per person, this proposed scheme can achieve an improvement in the correct recognition rate when face and gait information are integrated as opposed to using gait features alone.%为了能够实现视频下正面人体身份的自动识别,设计的系统包括Adaboost行人检测、Adaboost人脸检测、肤色验证、步态预处理、周期检测、特征提取以及决策级融合识别等模块.通过行人检测模块可以自动开启人脸检测模块和步态周期检测模块.实验结果表明,提出的根据下臂摇摆区域确定步态周期的方法对正面步态周期检测准确,计算量小,适用于实时的步态识别.采用人脸特征辅助步态特征在决策级的融合方法是解决视频下身份识别的新思路,在单样本的步态识别中,融合人脸特征可以提高识别精度.

  8. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

    Automatic sequences are sequences which are produced by a finite automaton. Although they are not random they may look as being random. They are complicated, in the sense of not being not ultimately periodic, they may look rather complicated, in the sense that it may not be easy to name the rule by which the sequence is generated, however there exists a rule which generates the sequence. The concept automatic sequences has special applications in algebra, number theory, finite automata and formal languages, combinatorics on words. The text deals with different aspects of automatic sequences, in particular:· a general introduction to automatic sequences· the basic (combinatorial) properties of automatic sequences· the algebraic approach to automatic sequences· geometric objects related to automatic sequences.

  9. The Electric Cars Challenge

    Science.gov (United States)

    Roman, Harry T.

    2011-01-01

    Over 100 years ago, the great inventor Thomas Edison warned that gasoline cars would pollute the environment and lead to gasoline shortages. He preferred the use of clean electric vehicles. He also put his money where his mouth was and developed an entirely new alkaline storage battery system for his beloved cars, the nickel-iron storage battery.…

  10. City Car = The City Car / Andres Sevtshuk

    Index Scriptorium Estoniae

    Sevtshuk, Andres, 1981-

    2008-01-01

    Massachusettsi Tehnoloogiainstituudi (MIT) meedialaboratooriumi juures tegutseva Targa Linna Grupi (Smart City Group) ja General Motorsi koostööna sündinud kaheistmelisest linnasõbralikust elektriautost City Car. Nimetatud töögrupi liikmed (juht William J. Mitchell, töögruppi kuulus A. Sevtshuk Eestist)

  11. System identification and automatic tuning of the controller in hydro power plants; Systemidentifikation und Reglerselbsteinstellung in Wasserkraftanlagen

    Energy Technology Data Exchange (ETDEWEB)

    Anz, R.

    2002-07-01

    In this work a method is presented to generate dynamic nonlinear models for speed and power controlled hydro Power plants. The models are identified automatically with measured data during operation. The models can be used for optimisation of the parameters of the controller. In this approach local linear neuro-fuzzy models are used. They seem very suitable for modelling nonlinear static and dynamic Systems. For a given set of measured data the structure and the parameters of the model are generated with the LOLIMOT-algorithm which is well known from literature. Several modifications of this algorithm are investigated during application on hydro power stations. Unfortunately not sufficient measured data from real power plants were available therefore theoretical models based on physical law and equations had to be used instead. The parameters for speed and power control are optimises using a global optimisation method. Other optimisation and design methods can be used and are discussed. The controllers which are optimised with the experimentally generated local linear neuro-fuzzy model are tested with the theoretical model. A clear improvement of the controller can be confirmed. (orig.) [German] In der vorliegenden Arbeit wird ein Verfahren vorgestellt, mit dem dynamische Modelle von drehzahl- und leistungsgeregelten Wasserkraftanlagen aus gemessenen Betriebsdaten automatisch bestimmt werden koennen. Diese Modelle koennen fuer den Entwurf oder zur Optimierung von Reglerparametern herangezogen werden. Bei dem dynamischen Modell handelt es sich um ein lokal lineares Neuro-Fuzzy Netz. Dieser Ansatz ist geeignet, nichtlineare statische und dynamische Systeme abzubilden. Fuer einen gegebenen Satz gemessener Daten erfolgt die Modellerstellung weitgehend automatisch mit dem aus der Literatur bekannten LOLIMOT-Algorithmus. Verschiedene Varianten und Abaenderungen des Verfahrens werden am Beispiel von Wasserkraftanlagen in dieser Arbeit untersucht. Leider standen fuer die

  12. Comparison between three implementations of automatic identification algorithms for the quantification and characterization of mesoscale eddies in the South Atlantic Ocean

    Directory of Open Access Journals (Sweden)

    J. M. A. C. Souza

    2011-03-01

    Full Text Available Three methods for automatic detection of mesoscale coherent structures are applied to Sea Level Anomaly (SLA fields in the South Atlantic. The first method is based on the wavelet packet decomposition of the SLA data, the second on the estimation of the Okubo-Weiss parameter and the third on a geometric criterion using the winding-angle approach. The results provide a comprehensive picture of the mesoscale eddies over the South Atlantic Ocean, emphasizing their main characteristics: amplitude, diameter, duration and propagation velocity. Five areas of particular eddy dynamics were selected: the Brazil Current, the Agulhas eddies propagation corridor, the Agulhas Current retroflexion, the Brazil-Malvinas confluence zone and the northern branch of the Antarctic Circumpolar Current (ACC. For these areas, mean propagation velocities and amplitudes were calculated. Two regions with long duration eddies were observed, corresponding to the propagation of Agulhas and ACC eddies. Through the comparison between the identification methods, their main advantages and shortcomings were detailed. The geometric criterion presents a better performance, mainly in terms of number of detections, duration of the eddies and propagation velocities. The results are particularly good for the Agulhas Rings, that presented the longest lifetimes of all South Atlantic eddies.

  13. Automatic classification and robust identification of vestibulo-ocular reflex responses: from theory to practice: introducing GNL-HybELS.

    Science.gov (United States)

    Ghoreyshi, Atiyeh; Galiana, Henrietta

    2011-10-01

    The Vestibulo-Ocular Reflex (VOR) stabilizes images of the world on our retinae when our head moves. Basic daily activities are thus impaired if this reflex malfunctions. During the past few decades, scientists have modeled and identified this system mathematically to diagnose and treat VOR deficits. However, traditional methods do not analyze VOR data comprehensively because they disregard the switching nature of nystagmus; this can bias estimates of VOR dynamics. Here we propose, for the first time, an automated tool to analyze entire VOR responses (slow and fast phases), without a priori classification of nystagmus segments. We have developed GNL-HybELS (Generalized NonLinear Hybrid Extended Least Squares), an algorithmic tool to simultaneously classify and identify the responses of a multi-mode nonlinear system with delay, such as the horizontal VOR and its alternating slow and fast phases. This algorithm combines the procedures of Generalized Principle Component Analysis (GPCA) for classification, and Hybrid Extended Least Squares (HybELS) for identification, by minimizing a cost function in an optimization framework. It is validated here on clean and noisy VOR simulations and then applied to clinical VOR tests on controls and patients. Prediction errors were less than 1 deg for simulations and ranged from .69 deg to 2.1 deg for the clinical data. Nonlinearities, asymmetries, and dynamic parameters were detected in normal and patient data, in both fast and slow phases of the response. This objective approach to VOR analysis now allows the design of more complex protocols for the testing of oculomotor and other hybrid systems.

  14. 智能建筑区门禁系统自动化识别技术分析%Analysis on Automatic Identification Technology of Intelligent Building Access Control System

    Institute of Scientific and Technical Information of China (English)

    张卉

    2015-01-01

    门禁系统是智能建筑区必备设施,可对建筑区提供安全防护、自动调控等多方面功能.指纹识别系统是人工智能改造的新系统,为门禁系统自动识别提供了科技化措施.本文分析了智能建筑发展趋势及指纹识别系统的基本构成,介绍了智能建筑门禁系统自动化识别技术的应用方法.%The access control system of intelligent building is a necessary facility, which provides security protection, automatic control and so on. Fingerprint identification system is a new artificial intelligence system, providing technological measures for the automatic identification of access control system. This paper analyzes the development trend of intelligent building and the basic structure of fingerprint identification system, introduces the application of automatic recognition technology in intelligent building access control system.

  15. Breaking car use habits

    DEFF Research Database (Denmark)

    Thøgersen, John; Møller, Berit Thorup

    2008-01-01

    and consider using-or at least trying-public transport instead. About 1,000 car drivers participated in the experiment either as experimental subjects, receiving a free one-month travelcard, or as control subjects. As predicted, the intervention had a significant impact on drivers' use of public transport...... and it also neutralized the impact of car driving habits on mode choice. However, in the longer run (i.e., four months after the experiment) experimental subjects did not use public transport more than control subjects. Hence, it seems that although many car drivers choose travel mode habitually, their final...

  16. Modernization of the automated CARS spectrometer system based on an IBM-compatible PC

    Science.gov (United States)

    Anikeev, Boris V.; Chadaev, D. I.

    2001-05-01

    We describe the updated automated system for coherent anti- Stokes Raman spectroscopy (CARS) that includes a laser spectrometer, automatic data processing and control units, based on an IBM-compatible personal computer.

  17. Auditory signal design for automatic number plate recognition system

    NARCIS (Netherlands)

    Heydra, C.G.; Jansen, R.J.; Van Egmond, R.

    2014-01-01

    This paper focuses on the design of an auditory signal for the Automatic Number Plate Recognition system of Dutch national police. The auditory signal is designed to alert police officers of suspicious cars in their proximity, communicating priority level and location of the suspicious car and takin

  18. The Electric Car Challenge.

    Science.gov (United States)

    Diehl, Brian E.

    1997-01-01

    Describes the Electric Car Challenge during which students applied methods of construction to build lightweight, strong vehicles that were powered by electricity. The activity required problem solving, sheet metal work, electricity, design, and construction skills. (JOW)

  19. TANK CAR CONSTRUCTION REFINMENT

    Directory of Open Access Journals (Sweden)

    A. N. Soberzhansjkyj

    2010-06-01

    Full Text Available The increase of volume and load-carrying capacity of tank cars is an urgent task for improving the efficiency of transportation of liquid bulk cargoes. Variants of the constructive and technical approaches, which allow increasing the specified indices, are considered. After the analysis the most rational constructive scheme meeting the modern requirements for tank cars and allowing to raise their productivity is chosen.

  20. 基于船舶AIS信息的可疑船只监测研究%Monitoring of Intrusive Vessels Based on an Automatic Identification System (AIS)

    Institute of Scientific and Technical Information of China (English)

    郭浩; 张晰; 安居白; 李冠宇

    2013-01-01

    中国海洋资源丰富,邻国船只时常非法航入中国领海或经济专属区.为了有效地保护和开发海洋资源,利用船舶自动识别系统(AIS)提供的船位、船速及航向等动态信息与船名、呼号、吃水及危险货物等静态信息,对某邻国船只于2012年4月在其专属经济区以及中国海域航行特征和船只特征进行分析.%Vessels from the neighboring countries often enter into the territorial waters and exclusive economic zone of China illegally.In order to protect our marine resources,this paper analyzes the characteristics and sailing features of ships from one neighboring country of China that entered the exclusive economic zone and the sea of China in April 2012.In particular,an automatic identification system (AIS) is used to collect the related information regarding ships,such as position,speed,heading,name,call sign,draft and dangerous goods carried,etc.Then,the geographic distribution,velocity and regular route pattern of vessels are used to develop a ship traffic information database.This paper provides an effective way for monitoring intrusive vessels,in order to protect China's marine rights.

  1. 无向简单图与无向连通图自动识别系统%Undirected Simple Graphs and Undirected Connected Graph Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

    张娟

    2012-01-01

    近年来,图论越来越受到全世界数学界和其它科学界的广泛重视.图的理论及其在物理、化学、运筹学、计算机科学、电子学、信息论、控制论、网络理论、社会科学及经济管理等几乎所有学科领域中各方面的应用研究都迅速发展.无向图作为图论的重要组成部分,研究无向图的连通性问题具有很重要的意义.本文介绍了无向简单图与无向连通图自动识别系统的设计与实现过程.%In recent years, more and more attention was paid to the graph theory in Mathematics and other scientific fields; there is a great development in graph theory and the applying research of graph theory in the physical, chemical, operations research, computer science, electronics, information theory, cybernetics, network theory, social science and economic management and so on. As an important part of graph theory, it is very important to do the research about the connectivity of undirected simple graph. This paper introduces the designing and applying process of automatic identification system of undirected simple graph and undirected connected graph.

  2. Identification of Biocontrol Bacteria against Soybean Root Rot with Biolog Automatic Microbiology Analysis System%拮抗大豆根腐病细菌的Biolog鉴定

    Institute of Scientific and Technical Information of China (English)

    许艳丽; 刘海龙; 李春杰; 潘凤娟; 李淑娴; 刘新晶

    2012-01-01

    In order to identify the systematic position of taxonomy of two biocontrol bacteria against soybean root rot. Traditional morphological identification and BIOLOG automatic microbiology analysis system were used to identify strain B021a and B04b. The results showed that similarity value of strain B021a with Vibrio tubiashii was 0. 634, possibility to 86% and genetic distance to 4.00,and similarity value of strain B04b with Pasteurella trehalosi was 0. 610,probability to 75% and genetic distance to 2. 77. Strain B021a was identified as Vibrio tubiashii and strain B04b as Pasteurella trehalosi by colony morphological propertie and BIOLOC analysis system.%为明确2株生防细菌的分类地位,采用传统形态学方法结合Biolog微生物自动分析系统,鉴定了大豆根腐病的2株生防细菌.结果表明,菌株B021a与塔式弧菌相似度值为0.634,可能性是86%,遗传距离为4.00.菌株B04b与海藻巴斯德菌相似度值为0.610,可能性是75%,遗传距离为2.77.综合形态学和Biolog鉴定结果,认为菌株B021a是塔式弧菌,菌株B04b是海藻巴斯德菌.

  3. Aerodynamics of Race Cars

    Science.gov (United States)

    Katz, Joseph

    2006-01-01

    Race car performance depends on elements such as the engine, tires, suspension, road, aerodynamics, and of course the driver. In recent years, however, vehicle aerodynamics gained increased attention, mainly due to the utilization of the negative lift (downforce) principle, yielding several important performance improvements. This review briefly explains the significance of the aerodynamic downforce and how it improves race car performance. After this short introduction various methods to generate downforce such as inverted wings, diffusers, and vortex generators are discussed. Due to the complex geometry of these vehicles, the aerodynamic interaction between the various body components is significant, resulting in vortex flows and lifting surface shapes unlike traditional airplane wings. Typical design tools such as wind tunnel testing, computational fluid dynamics, and track testing, and their relevance to race car development, are discussed as well. In spite of the tremendous progress of these design tools (due to better instrumentation, communication, and computational power), the fluid dynamic phenomenon is still highly nonlinear, and predicting the effect of a particular modification is not always trouble free. Several examples covering a wide range of vehicle shapes (e.g., from stock cars to open-wheel race cars) are presented to demonstrate this nonlinear nature of the flow field.

  4. 利用Identifiler分型系统推断同胞关系%Research siblings identification by Identiffler system and automatic STR genetic

    Institute of Scientific and Technical Information of China (English)

    郭燕霞; 郝金萍; 刘路; 叶健; 徐小玉; 欧元; 张建; 林小健; 王华; 翟亚森; 米瑞华; 康艳荣; 李万水; 陈松; 张国臣; 刘开会; 郭燕东; 李嘉丽; 郭红玲

    2009-01-01

    目的 探讨自主开发的同胞关系鉴定自动分析软件(ASI)对ldentifiler分型系统进行同胞关系鉴定的可行性.方法 应用本课题组所开发的软件ASI,对151对同胞及31224对人工模拟拟无关个体进行Identifiler系统的15个常染色体STR基因座分型进行分析,计算亲权指数(PI)、同胞关系概率(W_ (FS))和等位基因匹配情况,所获数据进行统计分析,自动计算排序.结果 当W_ (FS)大于99.999%时,同胞个体占39.07%,无关个体占0%,两组具有显著差异,可以推断两个体同胞关系.当W_(FS)介于1%~99.999%范围内,同胞个体和无关个体有部分重叠,同胞个体占60.93%,无关个体占21.3%,两者具有一定差异,可以通过增加检测STR基因座,再结合案情加作Y-STR、mtDNA检测.以推断两个体是否具有同胞关系.当W_(FS)小于1%时,同胞个体占0%,无关个体占78.7%,可以推断两个体不具有同胞关系.个体间等位基因匹配结果表明:在检测Identifiler体系15个STR基因座时,当两个体常染色体STR基因座的全相同数目≥5时,或伞不同数目≤1时,提示为同胞关系;当两个体全不同数日≥6时,或伞相同数目≤1时.提示为无关个体,以此作为预测有无同胞关系的界值.结论 Identifiler系统及同胞关系鉴定自动分析软件ASI可用于推断同胞关系.%Objective To evaluate the probability of siblings identification in Identifiler system by using the software of automatic analysis.Methods Using the software of automatic analysis in siblings jdentification.STP genetic typing of 151 pairs of full siblings and 31224 pairs of unrelated individuals from manual simulation were analyzed in 15 STR loci of ldentifiler system.Results Kin probability(W_(FS))of 39.07% full siblings were more than 99.999% while W_(FS) of unrelated individual pairs were 0% .W_(FS) of 60.93% full siblings and 21.3% unrelated individual pairs were all at the range from 99.999% to 1% .W_(FS) of 78.7% unrelated

  5. Connected Car: Quantified Self becomes Quantified Car

    Directory of Open Access Journals (Sweden)

    Melanie Swan

    2015-02-01

    Full Text Available The automotive industry could be facing a situation of profound change and opportunity in the coming decades. There are a number of influencing factors such as increasing urban and aging populations, self-driving cars, 3D parts printing, energy innovation, and new models of transportation service delivery (Zipcar, Uber. The connected car means that vehicles are now part of the connected world, continuously Internet-connected, generating and transmitting data, which on the one hand can be helpfully integrated into applications, like real-time traffic alerts broadcast to smartwatches, but also raises security and privacy concerns. This paper explores the automotive connected world, and describes five killer QS (Quantified Self-auto sensor applications that link quantified-self sensors (sensors that measure the personal biometrics of individuals like heart rate and automotive sensors (sensors that measure driver and passenger biometrics or quantitative automotive performance metrics like speed and braking activity. The applications are fatigue detection, real-time assistance for parking and accidents, anger management and stress reduction, keyless authentication and digital identity verification, and DIY diagnostics. These kinds of applications help to demonstrate the benefit of connected world data streams in the automotive industry and beyond where, more fundamentally for human progress, the automation of both physical and now cognitive tasks is underway.

  6. IMPLEMENTATION OF IMAGE PROCESSING IN REAL TIME CAR PARKING SYSTEM

    Directory of Open Access Journals (Sweden)

    SAYANTI BANERJEE,

    2011-02-01

    Full Text Available Car parking lots are an important object class in many traffic and civilian applications. With the problems of increasing urban trafficcongestion and the ever increasing shortage of space, these car parking lots are needed to be well equipped with automatic parkingInformation and Guidance systems. Goals of intelligent parking lot management include counting the number of parked cars, and identifyingthe available location. This work proposes a new system for providing parking information and guidance using image processing. The proposed system includes counting the number of parked vehicles, and dentifying the stalls available. The system detects cars through images instead of using electronic sensors embedded on the floor. A camera is installed at the entry point of the parking lot. It capturesimage sequences. The image sequences are then analyzed using digital image processing for vehicle detection and according to the status ofvehicle occupancy inside, real time guidance and information is provided to the incoming driver.

  7. Car stickers for 2009

    CERN Multimedia

    TS Department

    2008-01-01

    All members of the personnel holding a valid contract (except owners of cars with green or CD plates) can come to the Registration Service (Building 55, 1st floor) to obtain their 2009 car sticker, Mondays to Fridays from 7.30 a.m. to 4.00 p.m. non-stop. Please ensure you bring with you the documents relating to the vehicles(s) concerned. If you only wish to register one vehicle, you can obtain the 2009 sticker using the request form on the Web (via internet Explorer only). NB: This notice only applies to members of the personnel who obtained one or several blue car stickers for 2008. Reception and Access Control Service – TS/FM

  8. Automatic identification method of multiple argumentation information relationship in group decision-making%群体决策中多种研讨信息关系的自动识别方法

    Institute of Scientific and Technical Information of China (English)

    李欣苗; 张朋柱; 李靖

    2012-01-01

    决策是管理的核心,决策贯穿管理的全过程.群体决策中会产生海量的研讨信息,研讨信息与决策方案之间存在多种关系.论文研究了群体决策中多种研讨信息关系的自动识别方法,构建了多种研讨信息关系自动识别模型,并应用于实际的群体决策过程.应用结果表明,该模型较好地实现了研讨信息与决策方案之间强烈支持、一般支持、中立、一般反对和强烈反对关系的自动识别,可以辅助人对群体研讨信息的整理和分析,提高了群体决策过程信息组织的效率.%Decision making is essential to management. A lot of argumentation information is produced in group decision-making. There are multiple relationships between the argumentation information and decision solution. In this paper, a automatic identification method of multiple argumentation information relationship in group decision-making is researched and put forward. A automatic identification model of the argumentation information relationship in group decision-making is built. Furthermore, the method is applied to actual group decision process. The results of the application show that the method realizes the automatic identification of the strongly supportive, supportive, neutral, strongly against, and against relationship between decision solution and argumentation information effectively. It can help group members to organize the large amount of argumentation information effectively and increase the efficiency of information organizing in group decision-making.

  9. Modeling the Mousetrap Car

    Science.gov (United States)

    Jumper, William D.

    2012-01-01

    Many high school and introductory college physics courses make use of mousetrap car projects and competitions as a way of providing an engaging hands-on learning experience incorporating Newton's laws, conversion of potential to kinetic energy, dissipative forces, and rotational mechanics. Presented here is a simple analytical and finite element…

  10. Car-use habits

    DEFF Research Database (Denmark)

    Møller, Berit Thorup; Thøgersen, John

    2008-01-01

    It is often claimed that many drivers use their private car rather habitually. The claim gains credibility from the fact that travelling to many everyday destinations fulfils all the prerequisites for habit formation: it is recurring, performed under stable circumstances and produces rewarding co...

  11. Cars submerged in water.

    NARCIS (Netherlands)

    2010-01-01

    Crashes in which cars are submerged in deep water or in a ditch are often complicated and serious. Considering their severity and the fact that approximately half the fatalities in this crash type are not due to drowning but to injury, preventive measures are to be preferred above measures that have

  12. Design of an intelligent car

    Science.gov (United States)

    Na, Yongyi

    2017-03-01

    The design of simple intelligent car, using AT89S52 single chip microcomputer as the car detection and control core; The metal sensor TL - Q5MC induction to iron, to detect the way to send feedback to the signal of single chip microcomputer, make SCM according to the scheduled work mode to control the car in the area according to the predetermined speed, and the operation mode of the microcontroller choose different also can control the car driving along s-shaped iron; Use A44E hall element to detect the car speeds; Adopts 1602 LCD display time of car driving, driving the car to stop, take turns to show the car driving time, distance, average speed and the speed of time. This design has simple structure and is easy to implement, but are highly intelligent, humane, to a certain extent reflects the intelligence.

  13. Car boots: layers and drawers

    NARCIS (Netherlands)

    Van Kasteren, J.

    2003-01-01

    The car boot of practically any car appears to be pretty low on the list of items the manufacturer considers important.The world of glossy, state of the art and high-tech design seems to come to a halt behind the rear seat. Designers at Audi, the German car manufacturers, were well aware that this p

  14. Our Car as Power Plant

    NARCIS (Netherlands)

    Van Wijk, A.J.M.; Verhoef, L.

    2014-01-01

    Fuel cell cars can provide more efficient and cleaner transportation. However, we use our cars for transportation only 5% of the time. When parked, the fuel cell in the car can produce electricity from hydrogen, which is cleaner and more efficient than the current electricity system, generating usef

  15. DOES ELECTRIC CAR PRODUCE EMISSIONS?

    Directory of Open Access Journals (Sweden)

    Vladimír RIEVAJ

    2017-03-01

    Full Text Available This article focuses on the comparison of the amount of emissions produced by vehicles with a combustion engine and electric cars. The comparison, which is based on the LCA factor results, indicates that an electric car produces more emissions than a vehicle with combustion engine. The implementation of electric cars will lead to an increase in the production of greenhouse gases.

  16. Usability of car stereo.

    Science.gov (United States)

    Razza, Bruno Montanari; Paschoarelli, Luis Carlos

    2012-01-01

    Automotive sound systems vary widely in terms of functions and way of use between different brands and models what can bring difficulties and lack of consistency to the user. This study aimed to analyze the usability of car stereo commonly found in the market. Four products were analyzed by task analysis and after use reports and the results indicate serious usability issues with respect to the form of operation, organization, clarity and quality of information, visibility and readability, among others.

  17. 农业自动化喷雾机械标靶害虫自动识别系统的研究%Research on Automatic Identification System of Target Pests in Agricultural Automation Spraying Machine

    Institute of Scientific and Technical Information of China (English)

    张震; 高雄; 陈铁英; 王海超

    2016-01-01

    农业喷雾对象的识别和定位是农业自动化喷雾机械研究中的核心技术之一. 对病虫害甘蓝进行精准喷洒农药,实现病虫害准确自动识别成为关键. 为此,利用机器视觉的欧氏距离甘蓝夜蛾虫害自动识别检测系统,结合由Qualityspec 光谱仪组成的光谱成像系统,对甘蓝正常叶片和遭受甘蓝夜蛾虫害的甘蓝叶片的颜色特征和光谱特征进行分析,并采用机器视觉分割阈值选取中的Otsu算法和自适应波段选择方法提取出了颜色差异的最佳几何阈值和两种叶片的特征波段. 试验结果表明:综合机器视觉和光谱技术能够实现甘蓝夜蛾虫害的自动且准确的识别,准确率可达94%. 因此,建立机器视觉和光谱技术综合识别体系,可为农作物病虫害自动防治喷雾机器人的研制奠定基础,以达到农作物病虫害实时识别和及时治理的目的.%The spray object recognition and localization is one of the core technology of automatic spray mechanization re -search .For precision spraying pesticide plant diseases and insect pests of cabbage , the accurate and automatic identifica-tion of plant diseases and insect pests of cabbage becomes the key .Therefore , using machine vision automatic identifica-tion of the Euclidean distance of cabbage moth pests detection system , combined with spectral imaging system composed of qualityspec spectrometer , Cabbage normal blade and suffer from the cabbage moth pests of cabbage leaf color features and spectral characteristics were analyzed .The best geometric threshold of color difference and characteristic bands of two kinds of leaves were extracted , using the Otsu threshold value image segmentation algorithm and adaptive band selection method.The test results show that the technology compositing image processing with spectrum can realize automatic and accurate identification of Cabbage moth pests , accuracy reaching 94%.Therefore, the establishment of

  18. Hemotype全自动血型分析系统在血型鉴定中的应用研究%Research on hemotype fully automatic blood grouping instrument for identification of blood groups

    Institute of Scientific and Technical Information of China (English)

    马晓军; 李海军; 李凌波

    2012-01-01

    目的 探讨全自动血型分析系统在ABO、RhD血型鉴定中的应用.方法 使用微板法自动血型分析系统,在一次性U形板上通过加样、离心、振荡、判读完成血型检测并发送报告.结果 8013份献血者ABO血型一次性准确定型率99.91%(8006/8013),7例正反定型不一致(含O细胞凝集),Rh(D)阴性4例.60例乳糜标本ABO血型正反定型一致.结论 全自动血型分析系统进行ABO正反定型及RhD血型检测更安全可靠,实验操作实现了标准化、自动化,检测结果可永久保存、便于查询.%Objective To evaluate fully automatic blood grouping instrument for identification of blood groups of ABO and RhD. Methods Using automatic detection system distribute red cell or plasma in microplate. After reacting with blood grouping reagent, observe the results and report on LAN (Local Area Network). Results The rates of first proper ABO grouping were 99. 91% (8006/8013).7 out of 8013 O-group donor blood samples showed agglutination in the reverse ABO typing. 1 sample was found to RhD negative. The rates of first proper ABO grouping were 100% ( 60/60) of chylemia. Conclusion Fully automatic blood grouping instrument for detecting blood groups of ABO and RhD is safer,Standardization and automatic of blood grouping experiments has been achieved. The results can be stored timelessly, and are convenient for query.

  19. 基于条件随机场的《伤寒论》中医术语自动识别%Automatic identification of TCM terminology in Shanghan Lun based on conditional random field

    Institute of Scientific and Technical Information of China (English)

    孟洪宇; 谢晴宇; 常虹; 孟庆刚

    2015-01-01

    Objective To explore the methods of automatic identification of TCM terminology and to ex-pand the forms of natural language processing in TCM documents.Methods Based on the methods of conditional random field( CRF) , annotation and automatic identification on terms of symptoms, diseases, pulse-types and prescriptions recorded in Shanghan Lun as the research subjects, the effects of different combinations of the features, such as Chinese character itself, part of speech, word boundary and term category label, on identification of terminology were analyzed and the most effective combination was selected.Results The TCM terminology automatic identification model, combining with the features of Chinese character itself, part of speech, word boundary and term category label, had the precision of 85.00%, recall of 68.00%and F score of 75.56%.Conclusion The multi-features model of combi-nation of Chinese character itself, part of speech, word boundary and the term category label achieved the best identifying result in all combinations.%目的:探索中医术语的自动识别方法,扩充中医文本的自然语言处理形式。方法采用基于条件随机场( CRF)的方法,针对《伤寒论》文本中的症状、病名、脉象、方剂等中医术语的自动识别标注问题,通过结合字本身、词性、词边界、术语类别标注的特征,分析不同特征组合对术语识别的影响,并探讨最具有效性的组合。结果以字本身、词边界、词性、类别标签为特征组合的中医术语识别模型准确率为85.00%,召回率为68.00%,F值为75.56%。结论字本身、词性、词边界、术语类别标注的多特征融合的模型识别效果最优。

  20. Automatic Reading

    Institute of Scientific and Technical Information of China (English)

    胡迪

    2007-01-01

    <正>Reading is the key to school success and,like any skill,it takes practice.A child learns to walk by practising until he no longer has to think about how to put one foot in front of the other.The great athlete practises until he can play quickly,accurately and without thinking.Ed- ucators call it automaticity.

  1. Automatic structural modeling method based on process manufacturing system identifications%流程制造系统辨识的自动结构性建模方法

    Institute of Scientific and Technical Information of China (English)

    韩中; 赵升吨; 张贵成; 阮卫平; 李建平; 沈红立

    2014-01-01

    模型能够解决系统工程中的许多问题,为此,提出了一种新的流程制造系统辨识的自动结构性建模方法。通过对系统的结构组成和单元关系进行辨识,提炼出模型的结构性数据,并以此自动地形成系统仿真模型。建模采用了图论作为工业系统的数学表达形式。研究对系统单元进行规则性编码,并根据系统结构所具有的特性定义了建模的辨识函数。实例证明了提出的方法是可行的,并能够满足系统建模的有用性、高效性、准确性的要求。%Models can solve many problems in systems engineering, so a new automatic structural modeling technology based on process manufacturing system identifications is presented. Through carrying out identifications to system compo-sitions and unit relationships, model structure data is refined, and a system simulation model is automatically generated. The graph theory is adapted and regarded as a math expression format of the industrial system in the modeling. In addi-tion, the rule codes are implemented for system units in the research, the identification functions are defined according to system composition properties. The auto-modeling processes are achieved through iterative computation. Finally, the example is given to verify that the presented method is feasible, and can satisfy these requirements of the availability, efficiency and accuracy.

  2. CARS and non-linear microscopy imaging of brain tumors

    Science.gov (United States)

    Galli, Roberta; Uckermann, Ortrud; Tamosaityte, Sandra; Geiger, Kathrin; Schackert, Gabriele; Steiner, Gerald; Koch, Edmund; Kirsch, Matthias

    2013-06-01

    Nonlinear optical microscopy offers a series of techniques that have the potential to be applied in vivo, for intraoperative identification of tumor border and in situ pathology. By addressing the different content of lipids that characterize the tumors with respect to the normal brain tissue, CARS microscopy enables to discern primary and secondary brain tumors from healthy tissue. A study performed in mouse models shows that the reduction of the CARS signal is a reliable quantity to identify brain tumors, irrespective from the tumor type. Moreover it enables to identify tumor borders and infiltrations at a cellular resolution. Integration of CARS with autogenous TPEF and SHG adds morphological and compositional details about the tissue. Examples of multimodal CARS imaging of different human tumor biopsies demonstrate the ability of the technique to retrieve information useful for histopathological diagnosis.

  3. Car stickers for 2010

    CERN Multimedia

    GS Department

    The 2010 car stickers are now available. Holders of blue stickers will receive their 2010 stickers through the internal mail from 1st December onwards. Holders of red stickers are required to go to the Registration Service (Building 55, first floor), which is open non-stop from 7.30 a.m. to 4.00 p.m. Mondays to Fridays, in order to obtain their new stickers. They will be asked to present documents relating to the vehicles concerned. Owners of vehicles registered on green and CD plates should disregard this message. Reception and Access Control Service – GS/SEM/LS

  4. Electric Cars and Oil Prices

    OpenAIRE

    Azar, Jose

    2009-01-01

    This paper studies the joint dynamics of oil prices and interest in electric cars, measured as the volume of Google searches for related phrases. Not surprisingly, I find that oil price shocks predict increases in Google searches for electric cars. Much more surprisingly, I also find that an increase in Google searches predicts declines in oil prices. The high level of public interest in electric cars between April and August of 2008 can explain approximately half of the decline in oil prices...

  5. Lighting innovations in concept cars

    Science.gov (United States)

    Berlitz, Stephan; Huhn, Wolfgang

    2005-02-01

    Concept cars have their own styling process. Because of the big media interest they give a big opportunity to bring newest technology with styling ideas to different fairgrounds. The LED technology in the concept cars Audi Pikes Peak, Nuvolari and Le Mans will be explained. Further outlook for the Audi LED strategy starting with LED Daytime Running Lamp will be given. The close work between styling and technical engineers results in those concept cars and further technical innovations based on LED technologies.

  6. Cars Spectroscopy of Propellant Flames

    Science.gov (United States)

    1983-11-01

    Harris, K. Aron, and J. Fendell "N2 and 00 Vibrational CARS and H2 Rotational CARS Spectroscopy of CHI/N20 Flames," Proceedings of the Nineteenth...JANNAF Combustion Meeting, CIIA Publication No. 366, 1982, p 123. 21. K. Aron, L. E. Harris, and J. Fendell , "N and CO Vibrational CARS and H2 Rotational...9 6 5 . p 3 8 4 . . . . . 23. J. Fendell , L. E, Harris, and K. Aron, "Theoretical Calculation of 11 CARS S-Branches for Propellant Flames

  7. Study on Running-car Network%汽车路况网的研究

    Institute of Scientific and Technical Information of China (English)

    杨英洁

    2015-01-01

    汽车自组网的概念源于数字城市的概念,研究网络、实时数据库和汽车智能。研究的语言一般应用Lisp语言。%Scientists put forward to the idea of car-network when running from computer managing city,the idea mainly conclude network,real-time database management system and automatic car theory.

  8. Automatic Multimodal Cognitive Load Measurement (AMCLM)

    Science.gov (United States)

    2011-06-01

    Final Project Report Grant AOARD-10-4029 Automatic Multimodal Cognitive Load Measurement (AMCLM) June 2011 NICTA DSIM Team...collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 12 AUG 2011 2. REPORT TYPE 3. DATES COVERED 4...human-computer interface, such as air traffic control , in-car safety and electronic games. By quantifying the mental efforts of a person when

  9. Optimization Of Car Rim

    Directory of Open Access Journals (Sweden)

    Mr. Sushant K. Bawne

    2015-10-01

    Full Text Available The essential of car wheel rim is to provide a firm base on which to fit the tyre. Its dimensions, shape should be suitable to adequately accommodate the particular tyre required for the vehicle. In this project a tyre of car wheel rim belonging to the disc wheel category is considered. Design is an important industrial activity which influences the quality of the product. The wheel rim is modeled by using modeling software catiav5r17. By using this software the time spent in producing the complex 3- D models and the risk involved in the design and manufacturing process can be easily minimized. So the modeling of the wheel rim is made by using CATIA. Later this CATIA modal is imported to ANSYS WORKBENCH 14.5 for analysis work. ANSYS WORKBENCH 14.5 is the latest software used for simulating the different forces, pressure acting on the component and also calculating and viewing the results. By using ANSYS WORKBENCH 14.5 software reduces the time compared with the method of mathematical calculations by a human. ANSYS WORKBENCH 14.5 static structural analysis work is carried out by considered three different materials namely aluminum alloy ,magnesium alloy and structural steel and their relative performances have been observed respectively. In addition to wheel rim is subjected to modal analysis, a part of dynamic analysis is carried out its performance is observed. In this analysis by observing the results of both static and dynamic analysis obtained magnesium alloy is suggested as best material.

  10. Proton - Malaysia's national car project

    DEFF Research Database (Denmark)

    Søborg, Henrik

    2017-01-01

    The rise and development of the Malaysian national car project. How this project has become an esential part of the industrial development in Malaysia and how it has underpinned a growing middle class consumption culture with house and car as it pivotal goods....

  11. The attractiveness of car use

    NARCIS (Netherlands)

    Bleijenberg, A.N.

    2012-01-01

    Understanding the driving forces behind car use is necessary for the development of effective transport policies. The high door-to-door speed of the car in comparison with other travel modes forms its main attractiveness. And speed is the main engine for mobility growth, which is not easy to curb. P

  12. Design of A Smart Automotive Ventilation System For A Parked Car

    Directory of Open Access Journals (Sweden)

    Gaurav Kumar Jaiswal

    2012-06-01

    Full Text Available The temperature inside a car can rise up to 30oC more than the outside temperature and pose a serious threat for children or pets left in the car, when it is parked outside during summer. The increase in temperature of the car cabin is due to various modes of heat transfer such as conduction, convection and radiation. However, radiation along with the absorption is the main cause of this dramatic rise in temperature. This paper mainly focuses on regulating the internal temperature of the car. A new ventilation system has been designed that employs exhaust fan and blower, temperature sensors and electronic control circuitry to automatically control the temperature inside the car cabin under the constraint that ignition system is off. Experimental investigation is performed on a four wheeler vehicle parked under direct sun to observe temperature variation inside the car to understand the temperature difference between the inside and outside of the car. Furthermore, experiments were done on a prototype of a car-cabin, which was designed and fabricated based on the simulation performed using SOLIDWORKS. Two experiments were conducted with different ambient temperature and the targeted temperature at which the smart system should be activated. It was observed that the temperature inside the car dropped significantly when the smart ventilation system was on.

  13. Automatic identification of fault zone head waves and direct P waves and its application in the Parkfield section of the San Andreas Fault, California

    Science.gov (United States)

    Li, Zefeng; Peng, Zhigang

    2016-06-01

    Fault zone head waves (FZHWs) are observed along major strike-slip faults and can provide high-resolution imaging of fault interface properties at seismogenic depth. In this paper, we present a new method to automatically detect FZHWs and pick direct P waves secondary arrivals (DWSAs). The algorithm identifies FZHWs by computing the amplitude ratios between the potential FZHWs and DSWAs. The polarities, polarizations and characteristic periods of FZHWs and DSWAs are then used to refine the picks or evaluate the pick quality. We apply the method to the Parkfield section of the San Andreas Fault where FZHWs have been identified before by manual picks. We compare results from automatically and manually picked arrivals and find general agreement between them. The obtained velocity contrast at Parkfield is generally 5-10 per cent near Middle Mountain while it decreases below 5 per cent near Gold Hill. We also find many FZHWs recorded by the stations within 1 km of the background seismicity (i.e. the Southwest Fracture Zone) that have not been reported before. These FZHWs could be generated within a relatively wide low velocity zone sandwiched between the fast Salinian block on the southwest side and the slow Franciscan Mélange on the northeast side. Station FROB on the southwest (fast) side also recorded a small portion of weak precursory signals before sharp P waves. However, the polarities of weak signals are consistent with the right-lateral strike-slip mechanisms, suggesting that they are unlikely genuine FZHW signals.

  14. 通道行人集聚型异常事件自动识别算法设计%Design of Automatic Identification Algorithm for Pedestrian Clustering in Channel

    Institute of Scientific and Technical Information of China (English)

    李鑫; 陈艳艳; 陈宁; 刘小明; 冯国臣

    2016-01-01

    为了对城市轨道交通枢纽通道内的集聚型异常事件进行合理的疏导和客流组织,保障城市轨道交通枢纽的安全、高效运行,本文提出了一种通道内行人集聚型异常事件的自动识别算法.该算法首先通过对通道客流基础数据平稳性和突变性的分析,创建了一种兼具平稳性和突变性特征的新数据类型,然后基于双截面客流数据设计了自动识别算法的关键参数—偏移空间差值.最后通过对关键参数变化特征的分析,建立了通道行人集聚型异常事件自动识别算法.仿真试验结果显示:该算法的检测精度为100%,反应时间均值为65 s,表明该算法对通道行人集聚事件有极强的自动检测能力和较短的反应时间.%In order to carry out reasonable guidance and passenger flow organization in the traffic hub channel of urban rail transit, ensure the safe and efficient operation of urban rail transit hub, we put forward an algorithm that can recognize the abnormal events of crowds gathering in the transfer channel automatically. Basic information like stability and mutability of pedestrian volume is analysed firstly, creating a new type data set characterized by stability and mutability based on the calculated result, and then the key parameter-difference of space offset of automatic identification algorithm is designed based on the double-section pedestrian volume, and variation characteristics analysis of the key parameter will help to establish the algorithm for automatic identifying crowds gathering abnormal events. The simulation experiment result shows that the detection accuracy of the algorithm is 100%, and the reaction time is 65 s, which shows that the algorithm has a strong automatic detection ability and a shorter reaction time for the pedestrian clustering events.

  15. 49 CFR 172.330 - Tank cars and multi-unit tank car tanks.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Tank cars and multi-unit tank car tanks. 172.330..., TRAINING REQUIREMENTS, AND SECURITY PLANS Marking § 172.330 Tank cars and multi-unit tank car tanks. (a... material— (1) In a tank car unless the following conditions are met: (i) The tank car must be marked...

  16. The car and crime: critical perspectives.

    OpenAIRE

    Groombridge, Nic

    1997-01-01

    This thesis critically examines the literature on joyriding, car crime, motor projects and masculinities. Fieldwork in motor projects combined with the methods of cultural studies locates car crime within a gendered car culture. Thus motor projects are seen to 'work' within that gendered car culture but a longer term solution to car crime is to be found in 'green' transport policies and changes in gender relations. Theoretically it recognises the reality of car crime and also the reality of t...

  17. Pervasive Adaptation in Car Crowds

    Science.gov (United States)

    Ferscha, Alois; Riener, Andreas

    Advances in the miniaturization and embedding of electronics for microcomputing, communication and sensor/actuator systems, have fertilized the pervasion of technology into literally everything. Pervasive computing technology is particularly flourishing in the automotive domain, exceling the “smart car”, embodying intelligent control mechanics, intelligent driver assistance, safety and comfort systems, navigation, tolling, fleet management and car-to-car interaction systems, as one of the outstanding success stories of pervasive computing. This paper raises the issue of the socio-technical phenomena emerging from the reciprocal interrelationship between drivers and smart cars, particularly in car crowds. A driver-vehicle co-model (DVC-model) is proposed, expressing the complex interactions between the human driver and the in-car and on-car technologies. Both explicit (steering, shifting, overtaking), as well as implicit (body posture, respiration) interactions are considered, and related to the drivers vital state (attentive, fatigue, distracted, aggressive). DVC-models are considered as building blocks in large scale simulation experiments, aiming to analyze and understand adaptation phenomena rooted in the feed-back loops among individual driver behavior and car crowds.

  18. CERN CAR CLUB

    CERN Multimedia

    Automobile club

    2009-01-01

    You are cordially invited to the next General Assembly of the CERN Car Club Tuesday 12 January 2010 at 5:45pm Bldg. 593 / room 11 As the end of 2009 is approaching, it is time to think about renewing your subscription. Therefore next time you are on the CERN-Meyrin site or at the Post Office counter don’t forget to fill in the payment slip to continue to be a part of our large family. The fee remains unchanged: 50 CHF. For those of you who are regular users of our equipment and who know of all the advantages that the club is in a position to offer, it seems pointless to give details, we are sure that many of you have made use of them and are satisfied. We remind you everyone working on CERN site is entitled to become a member of our club, this includes industrial support personnel and staff of companies which have a contract with CERN. If you are not yet a member, come and visit us! We will be happy to welcome you and show you the facilities, or you can visit our web site. The use of the club&...

  19. CHINA ACCOUNTING REVIEW(CAR)

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    China Accounting Review(CAR)is a new accounting journal in Chinese,spon- sored by Peking University,Tsinghua University,Beijing National Accounting Insti- tute and ten more universities,and published by the Peking University Press.

  20. 乘用车怠速车内噪声源识别及控制措施研究%Investigation on Noise Sources Identification and Control of Idling Noise inside Car

    Institute of Scientific and Technical Information of China (English)

    陈达亮; 李洪亮; 高辉; 车云龙

    2014-01-01

    In this paper, a car model of domestic brand is taken as research object to investigate the interior noise control in idling. The vibration isolation test of engine mounts and interior noises separation test, etc., are carried out to quantify contribution of different interior noise sources. Measures to improve interior noise control in idling are presented in this paper including control of noise source at exhaust outlet, control of suspension cushion structure transfer path, and control of air transfer path of firewall and sound-proof pad. With such modifications, the test car reduces its interior noise by 3.5 dB (A) in idling, which enables its noise level in line with that the noise level of Sino-foreign joint venture car products.%以某自主品牌乘用车怠速车内噪声为研究对象,通过动力总成悬置系统隔振率试验、车内噪声分离试验等方法定量确定车内各噪声源的贡献量大小,并从排气管口噪声源控制、悬置垫结构传递路径控制及防火墙隔音垫空气传递路径控制等方面分别提出怠速车内噪声控制的改进措施。采取改进措施后的试验样车怠速工况下车内噪声降低3.5dB(A),达到国内合资品牌水平。

  1. Rainfall estimation using moving cars as rain gauges - laboratory experiments

    Science.gov (United States)

    Rabiei, E.; Haberlandt, U.; Sester, M.; Fitzner, D.

    2013-11-01

    The spatial assessment of short time-step precipitation is a challenging task. Low density of observation networks, as well as the bias in radar rainfall estimation motivated the new idea of exploiting cars as moving rain gauges with windshield wipers or optical sensors as measurement devices. In a preliminary study, this idea has been tested with computer experiments (Haberlandt and Sester, 2010). The results have shown that a high number of possibly inaccurate measurement devices (moving cars) provide more reliable areal rainfall estimations than a lower number of precise measurement devices (stationary gauges). Instead of assuming a relationship between wiper frequency (W) and rainfall intensity (R) with an arbitrary error, the main objective of this study is to derive valid W-R relationships between sensor readings and rainfall intensity by laboratory experiments. Sensor readings involve the wiper speed, as well as optical sensors which can be placed on cars and are usually made for automating wiper activities. A rain simulator with the capability of producing a wide range of rainfall intensities is designed and constructed. The wiper speed and two optical sensors are used in the laboratory to measure rainfall intensities, and compare it with tipping bucket readings as reference. Furthermore, the effect of the car speed on the estimation of rainfall using a car speed simulator device is investigated. The results show that the sensor readings, which are observed from manual wiper speed adjustment according to the front visibility, can be considered as a strong indicator for rainfall intensity, while the automatic wiper adjustment show weaker performance. Also the sensor readings from optical sensors showed promising results toward measuring rainfall rate. It is observed that the car speed has a significant effect on the rainfall measurement. This effect is highly dependent on the rain type as well as the windshield angle.

  2. Non-Destructive Brand Identification of Car Wax Using Visible and Near-Inf rared Spectroscopy%基于可见近红外光谱技术的车蜡品牌无损鉴别方法研究

    Institute of Scientific and Technical Information of China (English)

    张瑜; 谈黎虹; 何勇

    2014-01-01

    Visible and near-infrared (Vis-NIR) spectroscopy was applied to identify brands of car wax .A total of 104 samples were obtained for the analysis ,in which 40 samples (calibration set) were used for model calibration ,and the remaining 64 sam-ples (prediction set) were used to validate the calibrated model independently .Linear discriminant analysis (LDA ) and least square-support vector machine (LS-SVM ) were respectively used to establish identification models for car wax with five brands based on their Vis-NIR spectra .Correct rates for prediction sample set were 84% and 97% for LDA and LS-SVM models ,re-spectively .Spectral variable selection was further conducted by successive projections algorithm ,(SPA) ,resulting in seven fea-ture variables (351 ,365 ,401 ,441 ,605 ,926 ,and 980 nm) selected from full range spectra that had 751 variables .The new LS-SVM model established using the feature variables selected by SPA also had the correct rate of 97% ,showing that the select-ed variables had the most important information for brand identification ,while other variables with no useful information were eliminated efficiently .The use of SPA and LS-SVM could not only obtain a high correct identification rate ,but also simplify the model calibration and calculation .SPA-LS-SVM model could extract the useful information from the Vis-NIR spectra of car wax rapidly and accurately for the non-destructive brand identification of car wax .%探讨了可见-近红外光谱技术快速无损识别不同品牌车蜡的可行性。实验一共获得104样本,其中40个样本(建模集)用于建立模型,剩余64个样本(预测集)被用于独立验证建立好的模型。基于五种不同品牌车蜡的可见-近红外光谱分别建立了线性判别分析(linear Discriminant Analysis ,LDA )和最小二乘支持向量机(least square-support vector machine ,LS-SVM )模型。基于两个算法的全波段光谱模型的预

  3. 低空运动目标的多传感器自动识别和实时跟踪%Automatic identification and real-time tracking based on multiple sensors for low-altitude moving targets

    Institute of Scientific and Technical Information of China (English)

    张作楠; 刘国栋; 娄建

    2011-01-01

    This paper discussed a method for low altitude moving target detection and tracking in TV tracking system. In order to increase the ability of automatic tracking and anti-interferene, based on a variety of sensors and electronic measuring devices, such as acoustic sensors, image sensors and laser range finder,proposed a multi-sensor integrated automatic identification and real-time servo algorithm. Firstly located the target initially by the positive acoustic localization technology, secondly used the dynamic and static image features as well as the sound source characteristics of the target in target classification and recognition. According to video tracking and trajectory prediction algorithm, the desired target error signal control servo for precise tracking was used to control the servo mechanism to track precisely. Experiments show thattthe algorithm is simple and effective to achieve enough precision and reliability, and also validate the feasibility for multiple sensors being used in full-automatic intelligent tracking system.%讨论了一种用于低空运动目标检测和跟踪的电视跟踪系统.为了提高系统自动跟踪和抗干扰能力,基于声—光—电多种传感器和测量装置如声波传感器、图像传感器和激光测距仪等,提出一种多传感器综合的自动目标识别和实时跟踪算法.该方法将被动声定位技术用于目标初定位,结合目标图像动静态特征和目标声源特征用于目标的特征提取和自动识别,根据视频跟踪和轨迹预测算法,得出期望的目标误差信号控制伺服机构进行精确跟踪.实验结果表明该算法简捷有效、精度和可靠性达到要求,验证了多传感器应用于全自动智能跟踪系统的可行性.

  4. Art Cars: Transformations of the Mundane

    Science.gov (United States)

    Stienecker, Dawn

    2010-01-01

    The automobile itself is often understood as an extension of oneself, where individuals may manipulate the interior and exterior of cars and trucks, decorating them through detailing, stickers, custom colors, and so on. Others go further and change their cars into unique works of art called art cars. Such cars break away from the banality of mass…

  5. Welfare Effects of Distortionary Company Car Taxation

    NARCIS (Netherlands)

    Gutiérrez-i-Puigarnau, Eva; Ommeren, van Jos

    2007-01-01

    In Europe, company cars are offered by employers as fringe benefits to their employees at a lower price than employees pay in the car market, mainly due to favourable taxation of company cars. We analyse the welfare effects of favourable taxation of company cars for the Netherlands. The estimated an

  6. Cooperative maneuvering in close environments among cybercars and dual-mode cars

    NARCIS (Netherlands)

    Milanés, V.; Alonso, J.; Bouraoui, L.; Ploeg, J.

    2011-01-01

    This paper describes the results of vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) experiments implementing cooperative maneuvering for three different vehicles driving automatically. The cars used were cybercars from the Institut National de Recherche en Informatique et Automatique (I

  7. compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.

    Science.gov (United States)

    Edmands, William M B; Petrick, Lauren; Barupal, Dinesh K; Scalbert, Augustin; Wilson, Mark J; Wickliffe, Jeffrey K; Rappaport, Stephen M

    2017-04-04

    A long-standing challenge of untargeted metabolomic profiling by ultrahigh-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) is efficient transition from unknown mass spectral features to confident metabolite annotations. The compMS(2)Miner (Comprehensive MS(2) Miner) package was developed in the R language to facilitate rapid, comprehensive feature annotation using a peak-picker-output and MS(2) data files as inputs. The number of MS(2) spectra that can be collected during a metabolomic profiling experiment far outweigh the amount of time required for pain-staking manual interpretation; therefore, a degree of software workflow autonomy is required for broad-scale metabolite annotation. CompMS(2)Miner integrates many useful tools in a single workflow for metabolite annotation and also provides a means to overview the MS(2) data with a Web application GUI compMS(2)Explorer (Comprehensive MS(2) Explorer) that also facilitates data-sharing and transparency. The automatable compMS(2)Miner workflow consists of the following steps: (i) matching unknown MS(1) features to precursor MS(2) scans, (ii) filtration of spectral noise (dynamic noise filter), (iii) generation of composite mass spectra by multiple similar spectrum signal summation and redundant/contaminant spectra removal, (iv) interpretation of possible fragment ion substructure using an internal database, (v) annotation of unknowns with chemical and spectral databases with prediction of mammalian biotransformation metabolites, wrapper functions for in silico fragmentation software, nearest neighbor chemical similarity scoring, random forest based retention time prediction, text-mining based false positive removal/true positive ranking, chemical taxonomic prediction and differential evolution based global annotation score optimization, and (vi) network graph visualizations, data curation, and sharing are made possible via the compMS(2)Explorer application. Metabolite identities and

  8. 16S rRNA Gene Sequence-Based Identification of Bacteria in Automatically Incubated Blood Culture Materials from Tropical Sub-Saharan Africa.

    Directory of Open Access Journals (Sweden)

    Hagen Frickmann

    Full Text Available The quality of microbiological diagnostic procedures depends on pre-analytic conditions. We compared the results of 16S rRNA gene PCR and sequencing from automatically incubated blood culture materials from tropical Ghana with the results of cultural growth after automated incubation.Real-time 16S rRNA gene PCR and subsequent sequencing were applied to 1500 retained blood culture samples of Ghanaian patients admitted to a hospital with an unknown febrile illness after enrichment by automated culture.Out of all 1500 samples, 191 were culture-positive and 98 isolates were considered etiologically relevant. Out of the 191 culture-positive samples, 16S rRNA gene PCR and sequencing led to concordant results in 65 cases at species level and an additional 62 cases at genus level. PCR was positive in further 360 out of 1309 culture-negative samples, sequencing results of which suggested etiologically relevant pathogen detections in 62 instances, detections of uncertain relevance in 50 instances, and DNA contamination due to sample preparation in 248 instances. In two instances, PCR failed to detect contaminants from the skin flora that were culturally detectable. Pre-analytical errors caused many Enterobacteriaceae to be missed by culture.Potentially correctable pre-analytical conditions and not the fastidious nature of the bacteria caused most of the discrepancies. Although 16S rRNA gene PCR and sequencing in addition to culture led to an increase in detections of presumably etiologically relevant blood culture pathogens, the application of this procedure to samples from the tropics was hampered by a high contamination rate. Careful interpretation of diagnostic results is required.

  9. Automatic identification of origins of left and right coronary arteries in CT angiography for coronary arterial tree tracking and plaque detection

    Science.gov (United States)

    Zhou, Chuan; Chan, Heang-Ping; Chightai, Aamer; Wei, Jun; Hadjiiski, Lubomir M.; Agarwal, Prachi; Kuriakose, Jean W.; Kazerooni, Ella A.

    2013-03-01

    Automatic tracking and segmentation of the coronary arterial tree is the basic step for computer-aided analysis of coronary disease. The goal of this study is to develop an automated method to identify the origins of the left coronary artery (LCA) and right coronary artery (RCA) as the seed points for the tracking of the coronary arterial trees. The heart region and the contrast-filled structures in the heart region are first extracted using morphological operations and EM estimation. To identify the ascending aorta, we developed a new multiscale aorta search method (MAS) method in which the aorta is identified based on a-priori knowledge of its circular shape. Because the shape of the ascending aorta in the cCTA axial view is roughly a circle but its size can vary over a wide range for different patients, multiscale circularshape priors are used to search for the best matching circular object in each CT slice, guided by the Hausdorff distance (HD) as the matching indicator. The location of the aorta is identified by finding the minimum HD in the heart region over the set of multiscale circular priors. An adaptive region growing method is then used to extend the above initially identified aorta down to the aortic valves. The origins at the aortic sinus are finally identified by a morphological gray level top-hat operation applied to the region-grown aorta with morphological structuring element designed for coronary arteries. For the 40 test cases, the aorta was correctly identified in 38 cases (95%). The aorta can be grown to the aortic root in 36 cases, and 36 LCA origins and 34 RCA origins can be identified within 10 mm of the locations marked by radiologists.

  10. 基于遗传-BP神经网络的沉积微相自动识别%Automatic sedimentary facies identification method based on genetic-BP neural networks

    Institute of Scientific and Technical Information of China (English)

    许少华; 陈可为; 梁久祯; 郑生民

    2001-01-01

    提出了一种基于神经网络与图象处理技术相结合的沉积微相自动识别方法.该方法是先将数字化测井曲线和地层参数预处理转化为二值点阵图象模式,经过点阵数据编码压缩提取和记忆曲线所表征的地层模式特征,然后利用超线性BP算法与遗传算法相结合的方法训练多层前馈神经网络.所得神经网络稳定、学习收敛速度快,同时具有很强的记忆能力和推广能力,此模型对解决沉积微相自动识别问题具有良好的适应性.%We propose an automatic sedimentary facies identification methodbased on combination of neural network with image process technology. First, we translate digital well logging curves and stratum parameters into binary image modes. Second, through contracting binary data codes, we distill and store stratum mode characters token by well logging curves. Last, we combine BP algorithm with genetic algorithm to train a multilayers forward neural network. The neural network has the advantages of being stable, fast learning, awfully memorable and generalized ability. This model is suitable to solve problems of sedimentary facies identification.

  11. Automatic coal-gangue identification based on gray level co-occurrence matrix%基于灰度共生矩阵的煤与矸石自动识别研究

    Institute of Scientific and Technical Information of China (English)

    吴开兴; 宋剑

    2016-01-01

    To improve the coal-gangue identification rate, an automatic identification method of coal and gangue texture feature is proposed based on gray level co-occurrence matrix ( GLCM) . The basic principle of the GLCM, characteristic parameters are analyzed, and GLCM is utilized to extract texture features of coal and gangue image, including angular second moment, correlation, contrast and entropy, which are identified using support vector machine ( SVM ) . The method has been simulated with MATLAB, and the results show that, texture features extraction with GLCM, SVM recognition method can effectively describe the texture characteristics of coal and gangue.%为提高煤与矸石识别率,提出了一种基于灰度共生矩阵的煤与矸石纹理特征自动识别方法。分析灰度共生矩阵的基本原理、特征参数,利用灰度共生矩阵提取煤与矸石图像的角二阶距、相关性、对比度和熵这四个特征作为纹理特征,用支持向量机进行识别,并在MATLAB上仿真实现。研究结果表明:用灰度共生矩阵提取纹理特征、用支持向量机识别的方法能有效的描述煤与矸石的纹理特征,为煤与矸石的识别和分选提供重要参考依据。

  12. Checker pattern improvement and fully-automatic identification for camera calibration%摄像机标定的棋盘格模板的改进和自动识别

    Institute of Scientific and Technical Information of China (English)

    张浩鹏; 王宗义; 吴攀超; 林欣堂

    2012-01-01

    为了克服在摄像机标定过程中需要使用者给出标定模板的附加信息,或全自动标定点识别算法在遮挡、不均匀照明、大视角和摄像机镜头畸变情况下不能检测出标定点的缺点,提出一种改进的基于基准点标记的棋盘格模板以及相应的全自动识别算法.新的摄像机标定模板以基准点标记代替传统棋盘格的黑白方块,从而使全自动识别算法识别出标记的位置.利用模板中标记按照标记ID从小到大的顺序排列的先验知识,估计丢失的标定点位置.为了提高丢失标定点在图像中初始位置的估计,算法估计径向畸变参数,从而克服了畸变对识别的影响.为了提高标定点的定位精度,利用高精度的鞍点检测器,从而标定点的定位精度小于0.05像素.为了检测鞍点的有效性,算法提出2种滤波准则,最终得到有效的标定点.识别算法是有效的且不需要任何参数.实验结果表明,对于同样的摄像机和背景,使用改进的棋盘格模板及其识别算法获得的标定点进行摄像机标定的投影误差比ARTag减少70%.%In order to overcome the shortcomings that in camera calibration the user needs to give additional information of calibration pattern or fully-automatic identification algorithm of calibration points can not detect calibration points under the conditions of significant occlusions, uneven illumination, observation with extremely viewing angles and lens distortion, an improved checker pattern based on fiducial markers is designed, and the corresponding fully-automatic identification algorithm of the calibration points is proposed. The new camera calibration pattern replaces the black and white squares in traditional checker pattern with the fiducial markers, so the fully-automatic identification algorithm can locate the positions of the markers. Using the priori knowledge that the markers are arranged sequentially in the calibration pattern according to

  13. Design review of gondola car

    Directory of Open Access Journals (Sweden)

    S. V. Myamlin

    2014-12-01

    Full Text Available Purpose. To ensure the constantly growing volume of freight transportations it is necessary to introduce the innovation rolling stock. It should have the best technical and economic parameters in comparison with the existing fleet. Gondola car is the most popular type of railway freight car. Designs of the modern gondolas are based on many years of operating experience and numerous tests carried out by design and research organizations in the field of car building. To improve the body structure of gondolas it is necessary to perform a review of the existing structures and to identify the trends in their improvement. Methodology. The works on improvement the designs of produced gondolas are held by many engineering organizations in almost all industrialized countries. Analysis of the existing body designs of gondola cars is possible by analyzing the research in the field of transport engineering, namely patents, scientific articles, producers catalogues and so on. Findings. When analyzing it was determined that there are gondolas of different designs, but the most common are the gondolas with a solid floor and unloading hatches, the covers of which form the floor of gondola design. An effective method for reducing the gondola empty weight and increasing the body volume is also the use of aluminum alloy instead of steel. Results of the improvement analysis of the gondola bodies` designs showed that the creation of the modern gondola car requires from designers and scientists the implementation of scientific and technical solutions providing the increase of carrying capacity and the body volume, reduction of the gondolas empty weight, increase in repair intervals while improving the strength and dynamic qualities at the same time. Originality. For the first time the gondolas designs were analyzed, their advantages and disadvantages were considered and the trends in improvement of the given structures of gondola cars were determined. Practical value

  14. Car sharing à la carte

    CERN Multimedia

    Anaïs Schaeffer

    2012-01-01

    Do you want to make your commute to CERN easier, while saving money at the same time? Would you prefer not to spend a quarter of an hour crawling round the CERN car parks looking for a space? If so, read on: this article might well be of great interest to you.   We would like to draw your attention to a well established, albeit sadly under-used, method of transport: car sharing. To promote car-sharing, the GS Department has stepped in to call on the services of the Swiss firm Green Monkeys which specialises in this user-friendly and intelligent transport scheme. The company’s slogan is:  “Car-sharing as you want, when you want and as much as you want”. The principle is very straightforward. To use this car-sharing facility, you simply complete your free online registration with Green Monkeys, providing the following details: your journey, departure time, arrival time and days of the week, and indicating whether you are a passenger or driver or both. &a...

  15. Seatbelts in CAR therapy: How Safe Are CARS?

    Directory of Open Access Journals (Sweden)

    Kentaro Minagawa

    2015-05-01

    Full Text Available T-cells genetically redirected with a chimeric antigen receptor (CAR to recognize tumor antigens and kill tumor cells have been infused in several phase 1 clinical trials with success. Due to safety concerns related to on-target/off-tumor effects or cytokine release syndrome, however, strategies to prevent or abate serious adverse events are required. Pharmacologic therapies; suicide genes; or novel strategies to limit the cytotoxic effect only to malignant cells are under active investigations. In this review, we summarize results and toxicities of investigations employing CAR redirected T-cells, with a focus on published strategies to grant safety of this promising cellular application.

  16. 全自动微生物分析系统对布鲁杆菌属和种鉴定效果的研究%Identification effects of automatic microbial analysis system on brucella genus and species

    Institute of Scientific and Technical Information of China (English)

    肖春霞; 赵鸿雁; 侯临平; 荣蓉; 刘熹; 赵赤鸿; 朴东日; 赵娜; 姜海

    2015-01-01

    Objective To identify and analyse the biochemical characterization of brucella and to evaluate its clinical application by VITEK2 COMPACT automatic microbial identification analyzer.Methods Seventeen strains of standard strains and 121 strains of experimental strains were from bacteria storehouse of brucella disease,Institute of Infectious Diseases Prevention and Control,China Center for Disease Control and Prevention.Experimental strains were from 26 provinces (municipalities and autonomous regions) from 1957 to 2014,including all previous strains from patients and goats,antelope,sheep,cattle,and pig.Reference standard strains and experimental strains were analyzed using the GN identification card on VITEK2 COMPACT automatic microbial identification analyzer,and biochemical identification of brucella strains was done.Identified abnormal strains were rechecked by traditional test methods,including oxidase experiment,urease experiment,semisolid experiment,determination of hydrogen sulfide experiment,basic fuchsin susceptibility experiment,phage lysis experiment,and A/M single-phase specific serum agglutination experiment.Results Of the 138 strains of brucella analyzed by the automatic microbial identification system,the results showed that the main identification indicators of brucella genus were:L-proline arylamidase (ProA),tyrosine arylamidase (TyrA),urease (URE),glycine arylamidase (GlyA),L-lactate alkalinisation (1LATK),and ELLMAN (ELLM).Compared with the system values,all strains biochemical function similar rate was 97.99% (135.23/138),including standard strains was 96.71% (16.44/17),experimental strains was 98.17% (118.79/ 121);time required for strains identification was 6.1-7.7 h,including standard strains was 7.3 h,experimental strains was 6.9 h.Identification indicators for distinguish brucella species were:ProA,TyrA,URE,and GlyA;for distinguish brucella melitensis was ELLM;for distinguish brucella abortus was 1LATK;for distinguish brucella suis was

  17. Dwelling on Everyday Car Journeys

    DEFF Research Database (Denmark)

    Tølbøll, Lene; Jensen, Hanne Louise

    This paper explores the experiences of different emotions that develop during commuting practices between home and the workplace. In an explorative form, the analyses will elucidate on the various emotional states of the drivers as they drive through different urban and rural landscapes and manages...... different traffic conditions as well as the emotional states related to the drivers’ thoughts about work and family issues, the materiality of the car and the recreational activities inside the car. Analyses are based on a web-based questionnaire, sent to 373 participating drivers in the Big Data research...... project Intelligent Transportation System Platform North Denmark (Lahrmann 2012). In that project data on e.g. position and speed was collected via an On Board Unit from more than 400 cars in 2012-2014 (Tøfting et. al. 2014). The full dataset includes a driven distance of approximately 14 million km...

  18. 基于西门子S7-200的 RH精炼炉浸渍管维修台车的自动控制设计%The automatic control design of RH refining furnace dip pipe repair car based on Siemens S7-200

    Institute of Scientific and Technical Information of China (English)

    汪宏武

    2014-01-01

    According to some control requirements of RH refining furnace dip pipe repair car at some steel plant of 150 t, the electric control system of the dip pipe repair car has been designed taking Sie-mens S7-200 PLC as control core, control program has developed with STEP7 MicroWin V4 .0 being software development environment.Through the application of PLC, the dip pipe repair car has reduced the failure rate of the system, and improved the reliability of the system, greatly increased the production efficiency and production capacity.%针对某钢厂150 t RH精炼炉浸渍管维修台车的控制需求,设计了以西门子S7-200 PLC为控制核心的电气控制系统,以STEP7 MicroWin V4.0软件为用户程序开发环境,开发了浸渍管维修台车的控制程序。通过PLC的应用,降低了系统的故障率,提高了系统的可靠性,使生产效率和生产能力大大提高。

  19. 应用改进遗传神经网络识别种蛋蛋形试验%Experiment on automatic shape identification of hatching eggs based on improved genetic algorithm neural network

    Institute of Scientific and Technical Information of China (English)

    郁志宏; 王栓巧; 张平; 贾超

    2009-01-01

    Shape inspection of hatching eggs is an important and hard work in farms, manual inspection lacks the objectivity and is time-consuming. In order to solve problems mentioned above, an automatic shape identification method was proposed based on machine vision, moment technique and improved genentic algorithm-neural network (GA-NN) algorithm. Egg shape index and radius differences were extracted as eggs shape feature parameters. An improved immune genentic algorithm was put forward to optimize topology structure of levenberg-marquardt back progagation-neural network (LMBP-NN). After egg shape index was identified , radius differences were used as inputs of LMBP-NN and its outputs were used to determine the hatching egg shape normal or not. The results indicated that the classification accuracy of this method reached 97.1% for longer eggs, 95.59% for shorter eggs, 94.87% for abnormal eggs and 95.75% for normal eggs' respectively. It is significant for shape identification of hatching eggs automatically, which can improve detection accuracy and efficiency. The neural network system for shape identification of hatching eggs has high accuracy and generalization ability, and the algorithm is feasible and robust.%针对人工检测种蛋蛋形劳动强度大,缺乏客观性,检测效率低,研究了自动快速、准确地识别鸡种蛋蛋形的方法.以蛋形指数和蛋径差为形状特征参数,利用机器视觉技术、矩技术和提出的改进遗传神经网络算法剔除畸形蛋.基于机器视觉和矩技术提取种蛋的长短径,剔除蛋形指数不合格种蛋后,再通过构建合理的遗传神经网络模型,以蛋径差作为神经网络输入参数,根据网络输出值识别种蛋蛋形.对过圆蛋、过尖蛋、畸形蛋和正常蛋检测准确率分别达到了97.10%、95.59%、94.87%和95.75%.研究种蛋蛋形自动识别方法对提高种蛋蛋形检测准确率和工作效率具有重要意义,试验结果表明提出的种蛋蛋形评价

  20. Positive and negative spillover effects from electric car purchase to car use

    OpenAIRE

    Kløckner, Christian; Nayum, Alim; Mehmetoglu, Mehmet

    2013-01-01

    This study reports the results of two online surveys conducted on buyers of conventional combustion engine cars compared to those of electric vehicles in Norway. The results show that electric cars are generally purchased as additional cars, do not contribute to a decrease in annual mileage if the old car is not substituted, and that electric car buyers use the car more often for their everyday mobility. Psychological determinants derived from the theory of planned behavior and the norm-activ...

  1. Car use within the household

    DEFF Research Database (Denmark)

    de Borger, Bruno; Mulalic, Ismir; Rouwendal, Jan

    2013-01-01

    , respectively. When we do take into account the substitution effect, these figures reduce to, respectively, -0.32 and -0.45. We further estimate an alternative version of the model to test the hypothesis that substitution in response to higher fuel prices will be predominantly from the least to the most fuel...... efficient car, finding partial support for the underlying hypothesis. More importantly, the results of this extended model emphasize the importance of behavioural differences related to the position of the most fuel efficient car in the household, suggesting that households’ fuel efficiency choices...

  2. Development of photoelectric balanced car based on the linear CCD sensor

    Directory of Open Access Journals (Sweden)

    Wang Feng

    2016-01-01

    Full Text Available The smart car is designed based on Freescale’s MC9S12XS128 and a linear CCD camera. The linear CCD collects the road information and sends it to MCU through the operational amplifier. The PID control algorithm, the proportional–integral–derivative control algorithm, is adopted synthetically to control the smart car. First, the smart car’s inclination and angular velocity are detect through the accelerometers and gyro sensors, then the PD control algorithm, the proportional–derivative control algorithm, is employed to make the smart car have the ability of two-wheeled self-balancing. Second, the speed of wheel obtained by the encoder is fed back to the MCU by way of pulse signal, then the PI control algorithm, the proportional–integral control algorithm, is employed to make the speed of smart car reach the set point in the shortest possible time and stabilize at the set point. Finally, the PD control algorithm is used to regulate the smart car’s turning angle to make the smart car respond quickly while the smart car is passing the curve path. The smart car can realize the self-balancing control of two wheels and track automatically the black and while lines to march.

  3. 12th Portuguese Conference on Automatic Control

    CERN Document Server

    Soares, Filomena; Moreira, António

    2017-01-01

    The biennial CONTROLO conferences are the main events promoted by The CONTROLO 2016 – 12th Portuguese Conference on Automatic Control, Guimarães, Portugal, September 14th to 16th, was organized by Algoritmi, School of Engineering, University of Minho, in partnership with INESC TEC, and promoted by the Portuguese Association for Automatic Control – APCA, national member organization of the International Federation of Automatic Control – IFAC. The seventy-five papers published in this volume cover a wide range of topics. Thirty-one of them, of a more theoretical nature, are distributed among the first five parts: Control Theory; Optimal and Predictive Control; Fuzzy, Neural and Genetic Control; Modeling and Identification; Sensing and Estimation. The papers go from cutting-edge theoretical research to innovative control applications and show expressively how Automatic Control can be used to increase the well being of people. .

  4. Automated Car Park Management System

    Science.gov (United States)

    Fabros, J. P.; Tabañag, D.; Espra, A.; Gerasta, O. J.

    2015-06-01

    This study aims to develop a prototype for an Automated Car Park Management System that will increase the quality of service of parking lots through the integration of a smart system that assists motorist in finding vacant parking lot. The research was based on implementing an operating system and a monitoring system for parking system without the use of manpower. This will include Parking Guidance and Information System concept which will efficiently assist motorists and ensures the safety of the vehicles and the valuables inside the vehicle. For monitoring, Optical Character Recognition was employed to monitor and put into list all the cars entering the parking area. All parking events in this system are visible via MATLAB GUI which contain time-in, time-out, time consumed information and also the lot number where the car parks. To put into reality, this system has a payment method, and it comes via a coin slot operation to control the exit gate. The Automated Car Park Management System was successfully built by utilizing microcontrollers specifically one PIC18f4550 and two PIC16F84s and one PIC16F628A.

  5. Car Hits Boy on Bicycle

    Science.gov (United States)

    Ruiz, Michael J.

    2005-01-01

    In this article we present the fascinating reconstruction of an accident where a car hit a boy riding his bicycle. The boy dramatically flew several metres through the air after the collision and was injured, but made a swift and complete recovery from the accident with no long-term after-effects. Students are challenged to determine the speed of…

  6. Big Car,More Costly?

    Institute of Scientific and Technical Information of China (English)

    Liu Jiangwen

    2008-01-01

    @@ Latest story Current story on car consumption tax is performing in China.Consumption tax is levied on goods on the basis of value-added tax (VAT).A small number of commodities are chosen to impose consumption tax.which is usually seen in the production sector.

  7. About Oil, Cars and Comrades

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The last century was the century of oil, cars and electricity. Crude oil was probably the critical raw material for the industrial development of the United States, England, Germany and the like from the late 19th century to the beginning of the 21 st. Amazing amounts of riches were made. Those who called

  8. Restoring a Classic Electric Car

    Science.gov (United States)

    Kraft, Thomas E.

    2012-01-01

    One hundred years ago, automobiles were powered by steam, electricity, or internal combustion. Female drivers favored electric cars because, unlike early internal-combustion vehicles, they did not require a crank for starting. Nonetheless, internal-combustion vehicles came to dominate the industry and it's only in recent years that the electrics…

  9. Recharging Emission-Free Cars

    Institute of Scientific and Technical Information of China (English)

    CORRIE; DOSH

    2008-01-01

    New York dealership begins sales of China-made electric vehicles In the 2006 documentary Who Killed the Electric Car?, Director Chris Paine showed how auto manufacturers, the oil industry, government officials and consumers suppressed the development of allelectric, emission-free vehicles. Now, with

  10. De Finetti Theorem on the CAR Algebra

    Science.gov (United States)

    Crismale, Vitonofrio; Fidaleo, Francesco

    2012-10-01

    The symmetric states on a quasi local C*-algebra on the infinite set of indices J are those invariant under the action of the group of the permutations moving only a finite, but arbitrary, number of elements of J. The celebrated De Finetti Theorem describes the structure of the symmetric states (i.e. exchangeable probability measures) in classical probability. In the present paper we extend the De Finetti Theorem to the case of the CAR algebra, that is for physical systems describing Fermions. Namely, after showing that a symmetric state is automatically even under the natural action of the parity automorphism, we prove that the compact convex set of such states is a Choquet simplex, whose extremal (i.e. ergodic w.r.t. the action of the group of permutations previously described) are precisely the product states in the sense of Araki-Moriya. In order to do that, we also prove some ergodic properties naturally enjoyed by the symmetric states which have a self-containing interest.

  11. De Finetti theorem on the CAR algebra

    CERN Document Server

    Crismale, Vito

    2012-01-01

    The symmetric states on a quasi local C*-algebra on the infinite set of indices J are those invariant under the action of the group of the permutations moving only a finite, but arbitrary, number of elements of J. The celebrated De Finetti Theorem describes the structure of the symmetric states (i.e. exchangeable probability measures) in classical probability. In the present paper we extend De Finetti Theorem to the case of the CAR algebra, that is for physical systems describing Fermions. Namely, after showing that a symmetric state is automatically even under the natural action of the parity automorphism, we prove that the compact convex set of such states is a Choquet simplex, whose extremal (i.e. ergodic w.r.t. the action of the group of permutations previously described) are precisely the product states in the sense of Araki-Moriya. In order to do that, we also prove some ergodic properties naturally enjoyed by the symmetric states which have a self--containing interest.

  12. Inflation Rates, Car Devaluation, and Chemical Kinetics

    Science.gov (United States)

    Pogliani, Lionello; Berberan-Santos, Màrio N.

    1996-10-01

    The inflation rate problem of a modern economy shows quite interesting similarities with chemical kinetics and especially with first-order chemical reactions. In fact, capital devaluation during periods of rather low inflation rates or inflation measured over short periods shows a dynamics formally similar to that followed by first-order chemical reactions and they can thus be treated by the aid of the same mathematical formalism. Deviations from this similarity occurs for higher inflation rates. The dynamics of price devaluation for two different types of car, a compact car and a luxury car, has been followed for seven years long and it has been established that car devaluation is a process that is formally similar to a zeroth-order chemical kinetic process disregarding the type of car, if car devaluation is much faster than money devaluation. In fact, expensive cars devaluate with a faster rate than inexpensive cars.

  13. 自动识别环境下车辆的出行矩阵估计新方法%A New Method of OD Estimation Based On Automatic Vehicle Identification Data

    Institute of Scientific and Technical Information of China (English)

    孙剑; 冯羽

    2011-01-01

    鉴于以视频牌照识别系统为代表的车辆自动识别(automatic vehicle identification,AVI)技术在我国逐步应用的现实,提出了利用AVI检测信息估计高精度车辆起讫点矩阵(OD- matrix)的新方法.该方法首先将检测的车辆信息分为4类(起讫点已知、起点或终点及部分路径已知、仅知起点或终点、仅知部分路径),然后利用第1类信息根据AVI检测误差直接扩样更新基础OD矩阵;利用第2,3,4类信息,参照粒子滤波算法思想,基于贝叶斯估计理论修正更新路段-路径流量关系,进而用蒙特卡罗随机过程确定可能路径以及OD;最后根据AVI获得的路径流量信息反向验算校正OD.根据上海市目前视频牌照识别系统的应用现状,选择以南北高架快速路为研究对象,根据牌照识别系统检测的动态车辆信息,对布设9个视频检测器的南北高架沿线17个出入口的OD进行了估计应用.结果表明,在路网仿真模型误差≤15%、AVI设施覆盖率为27.2%以及检测误差在10%的前提下,运用本方法,OD估计的总体平均相对误差仅为11.09%.该方法能充分利用AVI检测的个体车辆不完整路径信息,且计算效率高,可满足实际动态交通管理的需求.%With the development and application of video license plate recognition system which represented the automatic vehicle identification (AVI) technologies in China,a novel high resolution OD estimation method was proposed based on AVI detector information. 4 detected categories (Ox + Dy, Ox/Dy + (8), Ox/Dy、 P(8)) were divided at the first step. Then the initial OD matrix was updated by using the Ox + Dy sample information considering the AVI detector errors. Referenced by particle filter, the link-path relationship data were revised by using the last 3 categories information based on Bayesian inference and the possible trajectory and OD were determined with the Monte Carlo random process. Then the OD was corrected

  14. Establishment of identification database of six common dermatophytes using Biolog automatic analyzer for microbes%Biolog微生物自动分析系统建立六种皮肤癣菌的鉴定数据库

    Institute of Scientific and Technical Information of China (English)

    萧伊伦; 陈驰宇; 章强强

    2010-01-01

    Objective To investigate the application prospect of Biolog automatic analyzer for microbes in the identification of common dermatophytes. Methods Clinical isolates of dermatophyte were identified to species level based on phenotypes and DNA sequence. The strains of Trichophyton rubrum, Trichophyton mentagrophyte, Trichophyton tonsurans, Microsporum canis, Microsporum gypseum and Epidermophyton floccosum were inoculated into FF microplates, and the utilization of 95 different carbon sources were recorded.The growth and reaction spectrum of these strains were described and identification database was set up. Results There was a great difference in the utilization of carbon sources among different fungal species. The utilization of raffinose could differentiate Trichophyton mentagrophyte and Trichophyton tonsurans from the other four Trichophyton. Sebacic acid could differentiate Trichophyton mentagrophyte from Trichophyton tonsurans.Meanwhile, Trichophyton rubrum could be differentiated from Microsporum gypseum, Epidermophyton floccosum and Microsporum canis by utilization of fumarate and succinate. Microsporum gypseum could be identified by use of alanine and phenylalanine. The utilization of dextrin could distinguish Epidermophyton floccosum from Microsporum canis. Conclusion The Biolog automatic analyzer for microbes has the ability to identify common dermatophytes to species level based on their specific phenotype.%目的 探讨Biolog微生物自动分析系统鉴定皮肤癣菌的应用前景.方法 采用表型及DNA测序的方法,将临床收集的菌株鉴定至种;选取红色毛癣菌、须癣毛癣菌、断发毛癣菌、犬小孢子菌、石膏样小孢子菌和絮状表皮癣菌6种常见皮肤癣菌接种于FF微量板,记录皮肤癣菌对95种不同碳源的利用情况,描述其各自的生长反应谱,建立鉴定数据库.结果 6种皮肤癣菌对一些碳源的利用具有明显的差别,通过是否利用棉子糖可以将须癣毛癣

  15. 一种船舶自动识别系统甚高频信道的低成本设计%Low-cost Design of VHF Channel in Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

    张翼周

    2014-01-01

    With increasing competition in Automatic Identification System( AIS) market, low-cost design is the inevitable trend in AIS product development. This paper presents a low-cost Very High Frequency (VHF) channel design scheme of AIS system according to the International Maritime Organization(IMO) standards. The working principle of AIS and working process of its VHF channel are introduced briefly, a concise and practical transmitter and receiver design is given. And the design method,components selec-tion of some core units,such as modulator,VHF power-amplifier and demodulator are elaborated. The test and field practice show that all indexes of the VHF channel meet the specified requirements,further more, the VHF channel has low hardware cost and has reliable performance.%随着船舶自动识别系统( AIS)市场竞争的日益激烈,低成本化是AIS产品研制的必然趋势。根据国际海事组织( IMO)有关标准,给出了一种AIS甚高频( VHF)信道的低成本设计方案。介绍了AIS工作原理及其VHF信道的工作过程,给出了简洁实用的发射机和接收机设计,并对调制器、VHF功放、解调器等核心单元设计方法、器件选择进行了详细阐述。测试和外场实用表明该VHF信道各项指标均已达到规定要求,并且该VHF信道硬件成本低,性能可靠。

  16. Automatic identification of transliterated name based on co-occurrence frequency statistics of words%基于用字共现频率统计的外国译名自动识别

    Institute of Scientific and Technical Information of China (English)

    陈阳; 赵跃华; 程显毅

    2012-01-01

    为了减少分词的负面效果,提出了基于用字共现频率统计的外国译名自动识别方法.对译名的用字特征进行了统计,提出译名共现字串的概念,并由译名用字表与汉语常用字表得到了非译名用字表.在上述工作的基础上定义了译名的边界,在边界定义的基础上设计了一种对分词错误的调整方法.对开放语料的测试结果表明,与最大词频分词算法相比,该算法在译名识别中的准确率、召回率、F值均有所提高.%To reduce the negative impact of segmentation, an automatic recognition algorithm for transliterated name recogni-tion based on co-occurrence frequency statistics of words is presented. Firstly, the statistical features of word of transliterated name are summarized and then the concept of co-occurrence string is proposed. The character table of non-translated name is obtained through the character table of transliterated name and the common Chinese character table. Secondly, the boundary of transliterated name is defined based on these above. Finally, an adjustment method is designed to deal with errors of segmenta-tion based on the definition of boundary. The result of experiment is satisfied in comparison with maximum word frequency seg-mentation algorithm. The recall rate, precision rate and F values of identification are enhanced.

  17. 基于定点数据的道路瓶颈拥挤自动识别算法%Automatic Identification Algorithm for Road Bottlenecks Based on Detector Data

    Institute of Scientific and Technical Information of China (English)

    弓晋丽; 彭贤武

    2013-01-01

    为研究道路瓶颈处的交通拥挤现象,掌握由道路瓶颈引发的常发性拥挤的分布特点和变化规律,提出了道路瓶颈拥挤的自动识别算法.基于检测线圈历史数据,将交通状态定性划分为畅通和拥挤2种,根据瓶颈拥挤原理,识别道路瓶颈所在,并同时对由其引发的拥挤持续时长和拥挤范围进行鉴别.算法运算结果包含瓶颈定位及由其引发的拥挤持续时长和空间影响范围.以上海市南北高架路东侧10 d线圈检测数据为例,验证了算法的有效性和实用性.%To study the problem of traffic congestion at road bottlenecks and know the distribution properties as to change regulation of the Recurrent Congestion, a new automatic identification algorithm for road bottlenecks was proposed. Based on historical traffic data from the dual-loop detectors on road, the algorithm differentiates uncongested traffic state from congested state, thereby identifying traffic bottlenecks according to principle of congestion. It will also compute the congestion duration and influence range caused by bottlenecks at the same time. By using field data from dual-loop detectors on Shanghai North-South elevated road for 10 days, the effectiveness and practicality of the algorithm have been verified.

  18. Bayesian calibration of car-following models

    NARCIS (Netherlands)

    Van Hinsbergen, C.P.IJ.; Van Lint, H.W.C.; Hoogendoorn, S.P.; Van Zuylen, H.J.

    2010-01-01

    Recent research has revealed that there exist large inter-driver differences in car-following behavior such that different car-following models may apply to different drivers. This study applies Bayesian techniques to the calibration of car-following models, where prior distributions on each model p

  19. Design and Implementation of Navigation Algorithm for Intelligent Racing Car

    Directory of Open Access Journals (Sweden)

    Praween Sinha

    2011-02-01

    Full Text Available Design and implementation of navigation algorithm for intelligent racing car. The paper describes the implementation of intelligent racing car that can recognize the track automatically to run onthe specifically designed complex racing track. The objective is to recognize and and modify the actual performance of the movements of the car during its pathway by getting information in real time from IRsensors in the system. The travel trajectory consists of continuous black line of about 25 millimeters in width, on a white background in order to have acceptable functioning. Analyzing of the sensor readingswas done during the travel, capturing data at the fixed sampling rate and this data was used as inputs to the newly developed algorithm to achieve corrections on the decision speed and control movements. Amicrocontroller assigns the required movement turn and speeds to optimize the performance in order to get a closer behavior as humans could do it without a vision system to catch its environment. The task of this work was to develop an efficient navigation algorithm and it has been successfully implemented in a Motorola S12X 16-bit microcontroller.

  20. Trial products of solar cars; Solar car no shisaku

    Energy Technology Data Exchange (ETDEWEB)

    Shimizu, A.; Hatakeyama, S.; Sugiura, S.; Shinoda, S.; Daigo, Y.; Fujihara, Y.; Yano, K.; Kasuga, M. [Yamanashi University, Yamanashi (Japan). Faculty of Engineering

    1997-11-25

    A solar car was trially manufactured installing solar panels on a motor-wheelchair for the old (senior car). It is a car for one person with maximum speed of 6km/h, motor of 360w, two of storage battery of 12Vtimes29AH, and two of solar cell of 20Vtimes3A. The output of solar cell is about 100W, which may not be enough to drive a 360W motor. However, if action time per day is about 2 hours, the required power 700WH, and the sunshine duration 7 hours per day, solar cells of 100W can generate 700WH. This is stored in battery, and when it is short, it is supplemented by nighttime power. Product prices are 200,000-250,000 yen. A solar go-cart was trially manufactured remodeling the gasoline-run go-cart. It is a solar go-cart for one person with maximum speed of 30km/h, a motor of 600W, four of storage battery of 12Vtimes29AH, and four of solar cell of 20Vtimes3A. The output of solar battery at 200W is a third of the motor power, with battery charged three times the travel time. More than 1000 persons trially rode the go-cart. 2 figs.

  1. Recurrent-neural-network-based identification of a cascade hydraulic actuator for closed-loop automotive power transmission control

    Energy Technology Data Exchange (ETDEWEB)

    You, Seung Han [Hyundai Motor Company, Seoul (Korea, Republic of); Hahn, Jin Oh [University of Alberta, Edmonton (Canada)

    2012-05-15

    By virtue of its ease of operation compared with its conventional manual counterpart, automatic transmissions are commonly used as automotive power transmission control system in today's passenger cars. In accordance with this trend, research efforts on closed-loop automatic transmission controls have been extensively carried out to improve ride quality and fuel economy. State-of-the-art power transmission control algorithms may have limitations in performance because they rely on the steady-state characteristics of the hydraulic actuator rather than fully exploit its dynamic characteristics. Since the ultimate viability of closed-loop power transmission control is dominated by precise pressure control at the level of hydraulic actuator, closed-loop control can potentially attain superior efficacy in case the hydraulic actuator can be easily incorporated into model-based observer/controller design. In this paper, we propose to use a recurrent neural network (RNN) to establish a nonlinear empirical model of a cascade hydraulic actuator in a passenger car automatic transmission, which has potential to be easily incorporated in designing observers and controllers. Experimental analysis is performed to grasp key system characteristics, based on which a nonlinear system identification procedure is carried out. Extensive experimental validation of the established model suggests that it has superb one-step-ahead prediction capability over appropriate frequency range, making it an attractive approach for model-based observer/controller design applications in automotive systems.

  2. Applying face identification to detecting hijacking of airplane

    Science.gov (United States)

    Luo, Xuanwen; Cheng, Qiang

    2004-09-01

    That terrorists hijacked the airplanes and crashed the World Trade Center is disaster to civilization. To avoid the happening of hijack is critical to homeland security. To report the hijacking in time, limit the terrorist to operate the plane if happened and land the plane to the nearest airport could be an efficient way to avoid the misery. Image processing technique in human face recognition or identification could be used for this task. Before the plane take off, the face images of pilots are input into a face identification system installed in the airplane. The camera in front of pilot seat keeps taking the pilot face image during the flight and comparing it with pre-input pilot face images. If a different face is detected, a warning signal is sent to ground automatically. At the same time, the automatic cruise system is started or the plane is controlled by the ground. The terrorists will have no control over the plane. The plane will be landed to a nearest or appropriate airport under the control of the ground or cruise system. This technique could also be used in automobile industry as an image key to avoid car stealth.

  3. Thermoelectric Air Cooling For Cars

    Directory of Open Access Journals (Sweden)

    Manoj S. Raut

    2012-05-01

    Full Text Available India is the second most populous country in the world with over 1.21billion people (estimated for April, 2011,more than sixth of the world’s population. India is projected to be world’s most populous country by 2025,surpassing china, its population exceeding 1.6 billion people by 2050.Comparing with the population there are 2.65 million cars sold in India as of march 2011.According to the society of Indian automotive manufacturer, annual car sales are projected to increase up to 5 million vehicles by 2015 and more than a 9 million by 2020.By 2050,the country is expected to top of the world in car volumes with approximately 611 million vehicles on the nation’s roads.The above data shows that, as the population increase the no. of vehicles also increase. Today, an automobile is a necessity for everyone. For a long or short journey people need car regard to thesafety, environment and most important comfort. Owing to these reasons, many vehicles are equipped with heating, ventilating and air conditioning system. In today’s world, no one feel comfortable in a vehicle without HVAC system. Therefore, HVAC becomes an integral part of human life. Today’s present HVAC system is very efficient and reliable but it has some demerits. It has been observed during the last two decades that the O3 –layer is slowly destroyed because of the refrigerant (CFC and HFC used for the refrigeration and air –conditioning purposes. The common refrigerant used is HFC’s which are leaked and slowly climb into the atmosphere. When they reach to O3 layer they act on O3 –molecules and the layer of O3 is destroyed.

  4. Car insurance information management system

    OpenAIRE

    Sun, Yu

    2015-01-01

    A customer information system is a typical information management system. It involves three aspects, the backstage database establishment, the application development and the system maintenance. A car insurance information management system is based on browser/server structure. Microsoft SQL Server establishes the backstage database. Active Server Pages, from Microsoft as well is used as the interface layer. The objective of this thesis was to apply ASP to the dynamic storage of a web page...

  5. Consumer Behavior towards Safer Car Purchasing Decisions

    Directory of Open Access Journals (Sweden)

    Khairil Anwar Abu Kassim

    2016-08-01

    Full Text Available In Malaysia, the car safety level has been elevated through regulations and a consumer-based approach, i.e. the New Car Assessment Program in Southeast Asian Countries (ASEAN NCAP. Nevertheless, the availability of information on consumers’ car purchasing decisions towards safety is still limited in Malaysia. Thus, this study was aimed at evaluating consumers’ purchasing decisions of their present cars and investigating their awareness of ASEAN NCAP. Self-administered questionnaires were distributed among consumers visiting different car showrooms and dealer shops. The findings suggest that safety was considered as one of the top three factors by the respondents when purchasing their present cars. Awareness of ASEAN NCAP has increased as compared to a previous study. This information is essential for policy makers, manufacturers and other stakeholders to assist in setting priorities with regard to the promotion of car safety in the country.

  6. 49 CFR 215.121 - Defective car body.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Defective car body. 215.121 Section 215.121..., DEPARTMENT OF TRANSPORTATION RAILROAD FREIGHT CAR SAFETY STANDARDS Freight Car Components Car Bodies § 215.121 Defective car body. A railroad may not place or continue in service a car, if: (a) Any portion...

  7. Automatic Fiscal Stabilizers

    Directory of Open Access Journals (Sweden)

    Narcis Eduard Mitu

    2013-11-01

    Full Text Available Policies or institutions (built into an economic system that automatically tend to dampen economic cycle fluctuations in income, employment, etc., without direct government intervention. For example, in boom times, progressive income tax automatically reduces money supply as incomes and spendings rise. Similarly, in recessionary times, payment of unemployment benefits injects more money in the system and stimulates demand. Also called automatic stabilizers or built-in stabilizers.

  8. Automatic term identification for bibliometric mapping

    NARCIS (Netherlands)

    N.J.P. van Eck (Nees Jan); L. Waltman (Ludo); E.C.M. Noyons (Ed); R.K. Buter (Reindert)

    2010-01-01

    textabstractA term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subject

  9. Dismount Threat Recognition through Automatic Pose Identification

    Science.gov (United States)

    2012-03-01

    camera and joint estimation software of the Kinect for Xbox 360. A threat determination is made based on the pose identified by the network. Ac- curacy...mapping produced by the Kinect sensor [3]. . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.5. Test subject and generated model. The subject is...16 3.2. Joint position estimates extracted from Kinect . Example of col- lecting orthogonal poses

  10. Automatic Term Identification for Bibliometric Mapping

    NARCIS (Netherlands)

    N.J.P. van Eck (Nees Jan); L. Waltman (Ludo); E.C.M. Noyons (Ed); R.K. Buter (Reindert)

    2008-01-01

    textabstractA term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subject

  11. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  12. Study on Ground Automatic Identification Technology for Intelligent Vehicle Based on Vision Sensor%基于视觉传感器的自主车辆地面自动辨识技术研究

    Institute of Scientific and Technical Information of China (English)

    崔根群; 余建明; 赵娴; 赵丛琳

    2011-01-01

    The ground automatic identification technology for intelligent vehicle is iaking Leobor-Edu autonomous vehicle as a test vector and using DH-HV2003UC-T vision sensor to collect image infarmaiion of five common lane roads( cobbled road, concrete road, dirt road, grass road, tile road) , then using MATLAB image processing module to perform coding compression, recovery reconstruction, smoothing, sharpening, enhancement, feature extraction and other related processing,then using MATLAB BP neural network module to carry on pattern recognition.Through analyzing the pattern recognition result, lt shows that the objective error is 20%, the road recognition rate has reached the intended requirement in the system,and it can be universally applied in the smart vehicle or robots and other related fields.%谊自主车辆地面自动辨识技术是以Leobot-Edu自主车辆作为试验载体,并应用DH-HV2003UC-T视觉传感器对常见的5种行车路面(石子路面、水泥路面、土壤路面、草地路面、砖地路面)进行图像信息的采集,应用Matlab图像处理模块对其依次进行压缩编码、复原重建、平滑、锐化、增强、特征提取等相关处理后,再应用Matlab BP神经网络模块进行模式识别.通过对模式识别结果分析可知,网络训练目标的函数误差为20%,该系统路面识别率达到预定要求,可以在智能车辆或移动机器人等相关领域普及使用.

  13. Diatom Identification : a Double Challenge Called ADIAC

    NARCIS (Netherlands)

    Buf, Hans du; Bayer, Micha; Droop, Stephen; Head, Ritchie; Juggins, Steve; Fischer, Stefan; Bunke, Horst; Wilkinson, Michael; Roerdink, Jos; Pech-Pacheco, José; Cristóbal, Gabriel; Shahbazkia, Hamid; Ciobanu, Adrian

    1999-01-01

    This paper introduces the project ADIAC (Automatic Diatom Identification and Classification), which started in May 1998 and which is financed by the European MAST (Marine Science and Technology) programme. The main goal is to develop algorithms for an automatic identification of diatoms using image

  14. Mediation and Automatization.

    Science.gov (United States)

    Hutchins, Edwin

    This paper discusses the relationship between the mediation of task performance by some structure that is not inherent in the task domain itself and the phenomenon of automatization, in which skilled performance becomes effortless or phenomenologically "automatic" after extensive practice. The use of a common simple explicit mediating…

  15. Digital automatic gain control

    Science.gov (United States)

    Uzdy, Z.

    1980-01-01

    Performance analysis, used to evaluated fitness of several circuits to digital automatic gain control (AGC), indicates that digital integrator employing coherent amplitude detector (CAD) is best device suited for application. Circuit reduces gain error to half that of conventional analog AGC while making it possible to automatically modify response of receiver to match incoming signal conditions.

  16. Automatic Differentiation Package

    Energy Technology Data Exchange (ETDEWEB)

    2007-03-01

    Sacado is an automatic differentiation package for C++ codes using operator overloading and C++ templating. Sacado provide forward, reverse, and Taylor polynomial automatic differentiation classes and utilities for incorporating these classes into C++ codes. Users can compute derivatives of computations arising in engineering and scientific applications, including nonlinear equation solving, time integration, sensitivity analysis, stability analysis, optimization and uncertainity quantification.

  17. Road Extraction and Car Detection from Aerial Image Using Intensity and Color

    Directory of Open Access Journals (Sweden)

    Vahid Ghods

    2011-07-01

    Full Text Available In this paper a new automatic approach to road extraction from aerial images is proposed. The initialization strategies are based on the intensity, color, and Hough transform. After road elements extraction, chain codes are calculated. In the last step, using shadow, cars on the roads are detected. We implemented our method on the 25 images from "Google Earth" database. The experiments show an increase in both the completeness and the quality indexes for the extracted road.

  18. Prediction of future car forms based on historical trends

    Directory of Open Access Journals (Sweden)

    Bijendra Kumar

    2016-09-01

    Full Text Available Cars are one of the most important products that affects our daily life. Manufacturers of cars are inclined to know factors that affect the sales of cars and how to influence them. Car is a very competitive product whose technology is already matured. Thus, purchase decisions of a car depend on factors such as, aesthetics, ergonomics, features available and price. Exterior form and colour of a car are the most important factors that influence likeness of the car. We did a case study on car aesthetics (form, colour, shape, and user focus with more than 500 car advertisements over the past 70 years, appearing in various car magazines. Results show that form of cars has changed from sharp to smooth over the years, and white colour cars are becoming more popular. Additionally, car size is becoming smaller and increasingly focused towards family. Thus, manufacturers are recommended to develop compact, efficient and hybrid cars.

  19. MODERN ELECTRIC CARS OF TESLA MOTORS COMPANY

    Directory of Open Access Journals (Sweden)

    O. F. Vynakov

    2016-08-01

    Full Text Available This overview article shows the advantages of a modern electric car as compared with internal combustion cars by the example of the electric vehicles of Tesla Motors Company. It (в смысле- статья describes the history of this firm, provides technical and tactical characteristics of three modifications of electric vehicles produced by Tesla Motors. Modern electric cars are not less powerful than cars with combustion engines both in speed and acceleration amount. They are reliable, economical and safe in operation. With every year the maximum range of an electric car is increasing and its battery charging time is decreasing.Solving the problem of environmental safety, the governments of most countries are trying to encourage people to switch to electric cars by creating subsidy programs, lending and abolition of taxation. Therefore, the advent of an electric vehicle in all major cities of the world is inevitable.

  20. Automatic stereoscopic system for person recognition

    Science.gov (United States)

    Murynin, Alexander B.; Matveev, Ivan A.; Kuznetsov, Victor D.

    1999-06-01

    A biometric access control system based on identification of human face is presented. The system developed performs remote measurements of the necessary face features. Two different scenarios of the system behavior are implemented. The first one assumes the verification of personal data entered by visitor from console using keyboard or card reader. The system functions as an automatic checkpoint, that strictly controls access of different visitors. The other scenario makes it possible to identify visitors without any person identifier or pass. Only person biometrics are used to identify the visitor. The recognition system automatically finds necessary identification information preliminary stored in the database. Two laboratory models of recognition system were developed. The models are designed to use different information types and sources. In addition to stereoscopic images inputted to computer from cameras the models can use voice data and some person physical characteristics such as person's height, measured by imaging system.

  1. Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car

    Directory of Open Access Journals (Sweden)

    Florian Eyben

    2010-01-01

    Full Text Available Besides reduction of energy consumption, which implies alternate actuation and light construction, the main research domain in automobile development in the near future is dominated by driver assistance and natural driver-car communication. The ability of a car to understand natural speech and provide a human-like driver assistance system can be expected to be a factor decisive for market success on par with automatic driving systems. Emotional factors and affective states are thereby crucial for enhanced safety and comfort. This paper gives an extensive literature overview on work related to influence of emotions on driving safety and comfort, automatic recognition, control of emotions, and improvement of in-car interfaces by affect sensitive technology. Various use-case scenarios are outlined as possible applications for emotion-oriented technology in the vehicle. The possible acceptance of such future technology by drivers is assessed in a Wizard-Of-Oz user study, and feasibility of automatically recognising various driver states is demonstrated by an example system for monitoring driver attentiveness. Thereby an accuracy of 91.3% is reported for classifying in real-time whether the driver is attentive or distracted.

  2. Multimodal CARS microscopy of structured carbohydrate biopolymers

    OpenAIRE

    Slepkov, Aaron D.; Ridsdale, Andrew; Pegoraro, Adrian F.; Moffatt, Douglas J.; Stolow, Albert

    2010-01-01

    We demonstrate the utility of multimodal coherent anti-Stokes Raman scattering (CARS) microscopy for the study of structured condensed carbohydrate systems. Simultaneous second-harmonic generation (SHG) and spectrally-scanned CARS microscopy was used to elucidate structure, alignment, and density in cellulose cotton fibers and in starch grains undergoing rapid heat-moisture swelling. Our results suggest that CARS response of the O-H stretch region (3000 cm−1–3400 cm−1), together with the comm...

  3. Wooing the Chinese Car-Buyer

    Institute of Scientific and Technical Information of China (English)

    MATTHEW PLOWRIGHT; CHRISTINE TSANG

    2008-01-01

    @@ Zhu Ce is a 22-year old salesman at Beijing's largest car market, North Asia Car Market, or Beiya Cheshi (北亚车市). He has been working there a few months, and on average makes about IO sales a month. But Zhu knows next to nothing about cars. He doesn't own one himself, and his employers simply provided him with a small information pamphlet by way of training.

  4. MMS Based Car Security System

    Directory of Open Access Journals (Sweden)

    Surendra Sot

    2013-03-01

    Full Text Available In This paper “MMS Based Car Security System” is being proposed to solve the issue. It introduces the integration between monitoring and tracking system. Both elements are very crucial in order to have a powerful security system. The system can send SMS and MMS to the owner to have fast response especially if the car is nearby. This paper focuses on using MMS and SMS technology. As soon as there is intrusion detected, first the SMS is sent to master user and the picture of the intruder will be sent via local GSM/GPRS service provider to user (and / or police mail ID. The implementation and testing results show the success of prototype in sending MMS to owner within 30 seconds. The timing and results are suitable to owner and police to take suitable action against intruder. User can also control the module using command. User has to send different SMS to module while configuration of module for master. Master user can be change as per need, only master user can make changes in to the module.

  5. Automatic basal slice detection for cardiac analysis

    Science.gov (United States)

    Paknezhad, Mahsa; Marchesseau, Stephanie; Brown, Michael S.

    2016-03-01

    Identification of the basal slice in cardiac imaging is a key step to measuring the ejection fraction (EF) of the left ventricle (LV). Despite research on cardiac segmentation, basal slice identification is routinely performed manually. Manual identification, however, has been shown to have high inter-observer variability, with a variation of the EF by up to 8%. Therefore, an automatic way of identifying the basal slice is still required. Prior published methods operate by automatically tracking the mitral valve points from the long-axis view of the LV. These approaches assumed that the basal slice is the first short-axis slice below the mitral valve. However, guidelines published in 2013 by the society for cardiovascular magnetic resonance indicate that the basal slice is the uppermost short-axis slice with more than 50% myocardium surrounding the blood cavity. Consequently, these existing methods are at times identifying the incorrect short-axis slice. Correct identification of the basal slice under these guidelines is challenging due to the poor image quality and blood movement during image acquisition. This paper proposes an automatic tool that focuses on the two-chamber slice to find the basal slice. To this end, an active shape model is trained to automatically segment the two-chamber view for 51 samples using the leave-one-out strategy. The basal slice was detected using temporal binary profiles created for each short-axis slice from the segmented two-chamber slice. From the 51 successfully tested samples, 92% and 84% of detection results were accurate at the end-systolic and the end-diastolic phases of the cardiac cycle, respectively.

  6. MODERN ELECTRIC CARS OF TESLA MOTORS COMPANY

    OpenAIRE

    O. F. Vynakov; E. V. Savolova; A. I. Skrynnyk

    2016-01-01

    This overview article shows the advantages of a modern electric car as compared with internal combustion cars by the example of the electric vehicles of Tesla Motors Company. It (в смысле- статья) describes the history of this firm, provides technical and tactical characteristics of three modifications of electric vehicles produced by Tesla Motors. Modern electric cars are not less powerful than cars with combustion engines both in speed and acceleration amount. They are reliable, economical ...

  7. An improved car-following model with two preceding cars' average speed

    Science.gov (United States)

    Yu, Shao-Wei; Shi, Zhong-Ke

    2015-01-01

    To better describe cooperative car-following behaviors under intelligent transportation circumstances and increase roadway traffic mobility, the data of three successive following cars at a signalized intersection of Jinan in China were obtained and employed to explore the linkage between two preceding cars' average speed and car-following behaviors. The results indicate that two preceding cars' average velocity has significant effects on the following car's motion. Then an improved car-following model considering two preceding cars' average velocity was proposed and calibrated based on full velocity difference model and some numerical simulations were carried out to study how two preceding cars' average speed affected the starting process and the traffic flow evolution process with an initial small disturbance, the results indicate that the improved car-following model can qualitatively describe the impacts of two preceding cars' average velocity on traffic flow and that taking two preceding cars' average velocity into account in designing the control strategy for the cooperative adaptive cruise control system can improve the stability of traffic flow, suppress the appearance of traffic jams and increase the capacity of signalized intersections.

  8. The influence of positionality in car-purchasing behaviour on the downsizing of new cars

    NARCIS (Netherlands)

    Hoen, Anco; Geurs, Karst T.

    2011-01-01

    This paper presents results from stated choice experiments looking at the influence of positionality in peoples’ choices of passenger cars in the Netherlands. It provides evidence that cars are positional goods and that selected car attributes such as size, engine capacity and interior add to their

  9. Iris Pattern Segmentation using Automatic Segmentation and Window Technique

    OpenAIRE

    Swati Pandey; Prof. Rajeev Gupta

    2013-01-01

    A Biometric system is an automatic identification of an individual based on a unique feature or characteristic. Iris recognition has great advantage such as variability, stability and security. In thispaper, use the two methods for iris segmentation -An automatic segmentation method and Window method. Window method is a novel approach which comprises two steps first finds pupils' center andthen two radial coefficients because sometime pupil is not perfect circle. The second step extract the i...

  10. CERN car stickers for 2014

    CERN Multimedia

    2013-01-01

    The stickers on your vehicles will cease to be valid at the end of 2013. We kindly request that you inform us as soon as possible if you no longer own a vehicle that is in our records. In particular, please inform the CERN Registration Service (Building 55, first floor) if you receive a sticker for a vehicle that you no longer own.   Stickers for 2014 are valid immediately and can be displayed as soon as you receive them. The Guards Service will continue to allow cars displaying a 2013 sticker into the CERN site until no later than 31 January 2014. After that date, the Guards Service will be obliged to deny access to any vehicles not displaying a valid sticker. Please see Operational Circular No. 2 for more details. We wish you a pleasant day and happy holidays, GS/DI security and access control service

  11. Silver Cars Are the Safest on the Road

    Institute of Scientific and Technical Information of China (English)

    蒋保平

    2007-01-01

    <正>Silver cars are much less likely to be involved in a serious crash than cars of other colours,suggests a new study of over 1,000 cars.People driving in silver cars were 50 per cent less likely to suffer serious injury in a crash compared with drivers of white cars,the research in New Zealand found.

  12. 75 FR 10567 - Commerce Acquisition Regulation (CAR)

    Science.gov (United States)

    2010-03-08

    ... Commerce 48 CFR Chapter 13 Commerce Acquisition Regulation (CAR); Final Rule #0;#0;Federal Register / Vol. 75, No. 44 / Monday, March 8, 2010 / Rules and Regulations#0;#0; ] DEPARTMENT OF COMMERCE 48 CFR Chapter 13 RIN 0605-AA26 Commerce Acquisition Regulation (CAR) AGENCY: Department of Commerce...

  13. Car Stopping Distance on a Tabletop

    Science.gov (United States)

    Haugland, Ole Anton

    2013-01-01

    Stopping distances in car braking can be an intriguing topic in physics teaching. It illustrates some basic principles of physics, and sheds valuable light on students' attitude towards aggressive driving. Due to safety considerations, it can be difficult to make experiments with actual car braking. (Contains 2 figures.)

  14. Driving an improved CAR for cancer immunotherapy.

    Science.gov (United States)

    Huang, Xiaopei; Yang, Yiping

    2016-08-01

    The recent clinical success of chimeric antigen receptor (CAR) T cell therapy for B cell malignancies represents a paradigm shift in cancer immunotherapy. Unfortunately, application of CAR T cell-mediated therapy for solid tumors has so far been disappointing, and the reasons for this poor response in solid tumors remain unknown. In this issue of the JCI, Cherkassky and colleagues report on their use of a murine model of human pleural mesothelioma to explore potential factors that limit CAR T cell efficacy. Their studies have uncovered the importance of the tumor microenvironment in the inhibition of CAR T cell functions, revealed a critical role for the programmed death-1 (PD-1) pathway in CAR T cell exhaustion within the tumor microenvironment, and demonstrated improved antitumor effects with a CAR T cell-intrinsic PD-1 blockade strategy using a dominant negative form of PD-1. Together, the results of this study lay the groundwork for further evaluation of mechanisms underlying CAR T cell immune evasion within the tumor microenvironment for the improvement of CAR T cell-mediated therapy for solid tumors.

  15. Rear-facing car seat (image)

    Science.gov (United States)

    A rear-facing car seat position is recommended for a child who is very young. Extreme injury can occur in an accident because ... child. In a frontal crash a rear-facing car seat is best, because it cradles the head, ...

  16. 49 CFR 174.110 - Car magazine.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Car magazine. 174.110 Section 174.110...) Materials § 174.110 Car magazine. When specially authorized by the carrier, Division 1.1 or 1.2 (explosive... packages of Class 1 (explosive) materials are placed in a “magazine” box made of sound lumber not less...

  17. A Radio-Controlled Car Challenge

    Science.gov (United States)

    Roman, Harry T.

    2010-01-01

    Watching a radio-controlled car zip along a sidewalk or street has become a common sight. Within this toy are the basic ingredients of a mobile robot, used by industry for a variety of important and potentially dangerous tasks. In this challenge, students consider modifying an of-the-shelf, radio-controlled car, adapting it for a robotic task.

  18. CRISPR Meets CAR T-cell Therapy.

    Science.gov (United States)

    2017-03-21

    Using CRISPR/Cas9 technology, researchers have devised a method to deliver a CAR gene to a specific locus, TRAC, in T cells. This targeted approach yielded therapeutic cells that were more potent even at low doses; in a mouse model of acute lymphoblastic leukemia, they outperformed CAR T cells created with a randomly integrating retroviral vector.

  19. Automatic Identification of Digital Label Assembly Drawings of Mechanical Parts Based on Computer Vision Technology%基于计算机视觉技术的机械零件装配图数字标号的自动识别

    Institute of Scientific and Technical Information of China (English)

    江能兴

    2011-01-01

    In order to realize precisely the automatic identification of numeric characters in the assembly drawings of mechanical parts, the technology of Open Computer Vision libraries (OpenCV) are developed. This paper not only introduces the basic framework of OpenCV and its typical application areas, also, it compares and analyses the numeric characters in the assembly drawings of mechanical parts, which has great significance to the improvement on the current development in the area of the automatic identification of digital label assembly drawings of mechanical parts.%为精准快速地对机械零件装配图中的数字字符进行自动识别,提出一种基于开源计算机视觉库OpenCV的模板匹配方法.本文介绍OpenCV的基本框架、典型运用领域和利用OpenCV开发库对机械零件装配图中的数字字符进行自动识别的比较分析,该项工作对改进目前对机械图进行人工数字识别的现状具有重要的意义.

  20. Intelligent car guidance system (parking support system); Chiteki sharyo yudo system (chusha shien system)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    This system enables a driver to park the car at a predetermined spot without the driver seeing the outside scene. The system shows on a driver seat display the steps that the driver is to follow and thereby supports the driver when visibility is poor, when the parking space is difficult to approach, when the driver is a novice, or when the driver is aged. The system ensures accurate positioning of the car by showing the steering direction and angle, the car speed, and the force of braking to the driver. For this purpose, the system knows the absolute car position by the use of an RFID (Radio Frequency Identification) tag which is a kind of IC (Integrated Circuit) card and D-GPS (Differential-Global Positioning System), grasps the relative car position by the use of a gyroscope, and collects data from plural sensors, which are complementary to each other, such as a car-speed sensor and a steering sensor. (translated by NEDO)

  1. Automatic identification of pump unit axis orbit based on invariant moments features and neural networks%基于不变矩和神经网络的泵机组轴心轨迹自动识别

    Institute of Scientific and Technical Information of China (English)

    陈坚; 叶渊杰; 陈抒; 陈光大; 于永海; 王建明

    2011-01-01

    To meet the needs of signal processing on pump unit fault diagnosis, the principle of invariant moment theory was introduced. In addition, the neural network modeling as well as the sample acquisition in detail was discussed. As the shape of axis orbit responded the pump unit operation is related to a variety of fault, the real-time detection swing signals of axis on invariant moment were processed according to the invariant features of translation, scaling and rotation of invariant moment. And then the shape of axis orbit was determined by using BP neural network on pattern recognize. The combination of numerical simulation and on-site test were used to compensate the shortage of neural network training samples. All samples of both processed on invariant moment and the corresponding actual shape of the samples are of the neural network training ones. After network training completed, the output was compared with the actual shape of axis loci to validate this method. Taken the fault detection and diagnosis of Dayudu Pump Station in Shanxi for example, 10 sets of data of the sample were selectd to be compared, and the results show that the neural network recognition of the results are accurate. The method can provide the basis for orbit shape automatic identification and realizing fault diagnosis system intellectualization of pump unit.%基于泵机组故障信号处理的需要,介绍了不变矩原理,同时对神经网络建模,包括其样本获取进行了详细讨论;由于泵机组的多种故障与表征其运行状态的轴心轨迹形状有关,根据不变矩的平移、伸缩和旋转不变性特征,对实时检测的轴心摆度信号进行不变矩处理,利用BP型神经网络对其进行模式识别,进而判断出轴心轨迹的形状.为了弥补泵机组用于神经网络训练样本的不足,采用数值模拟与现场测试相结合的方法,将获取的所有样本进行求不变矩处理,并连同样本对应的实际形状作为神经网络

  2. Word Automaticity of Tree Automatic Scattered Linear Orderings Is Decidable

    CERN Document Server

    Huschenbett, Martin

    2012-01-01

    A tree automatic structure is a structure whose domain can be encoded by a regular tree language such that each relation is recognisable by a finite automaton processing tuples of trees synchronously. Words can be regarded as specific simple trees and a structure is word automatic if it is encodable using only these trees. The question naturally arises whether a given tree automatic structure is already word automatic. We prove that this problem is decidable for tree automatic scattered linear orderings. Moreover, we show that in case of a positive answer a word automatic presentation is computable from the tree automatic presentation.

  3. Study on Performances of Car-following Models Induced by Motions of a Leading Car

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specified speed profile was used to test the above model. The results show that this model is to some extent deficient in performing the process aforementioned. Modifications of the model to overcome these deficiencies were demonstrated and a modified car-following model was proposed accordingly. Furthermore, the delay time of car motion of the new model were studied.

  4. Dual-tip-enhanced ultrafast CARS nanoscopy

    CERN Document Server

    Ballmann, Charles W; Sinyukov, Alexander M; Sokolov, Alexei V; Voronine, Dmitri V

    2013-01-01

    Coherent anti-Stokes Raman scattering (CARS) and, in particular, femtosecond adaptive spectroscopic techniques (FAST CARS) have been successfully used for molecular spectroscopy and microscopic imaging. Recent progress in ultrafast nanooptics provides flexibility in generation and control of optical near fields, and holds promise to extend CARS techniques to the nanoscale. In this theoretical study, we demonstrate ultrafast subwavelentgh control of coherent Raman spectra of molecules in the vicinity of a plasmonic nanostructure excited by ultrashort laser pulses. The simulated nanostructure design provides localized excitation sources for CARS by focusing incident laser pulses into subwavelength hot spots via two self-similar nanolens antennas connected by a waveguide. Hot-spot-selective dual-tip-enhanced CARS (2TECARS) nanospectra of DNA nucleobases are obtained by simulating optimized pump, Stokes and probe near fields using tips, laser polarization- and pulse-shaping. This technique may be used to explore ...

  5. The kinematic advantage of electric cars

    Science.gov (United States)

    Meyn, Jan-Peter

    2015-11-01

    Acceleration of a common car with with a turbocharged diesel engine is compared to the same type with an electric motor in terms of kinematics. Starting from a state of rest, the electric car reaches a distant spot earlier than the diesel car, even though the latter has a better specification for engine power and average acceleration from 0 to 100 km h-1. A three phase model of acceleration as a function of time fits the data of the electric car accurately. The first phase is a quadratic growth of acceleration in time. It is shown that the tenfold higher coefficient for the first phase accounts for most of the kinematic advantage of the electric car.

  6. Modelling and optimization of car-to-car compatibility - Modellierung und optimierung von pkw-pkw-kompatibilität

    NARCIS (Netherlands)

    Mooi, H.G.; Nastic, T.; Huibers, J.H.A.M.

    1999-01-01

    In this paper simple and more detailed MADYMO multibody models were used to simulate the car structure for improving the car-to-car compatibility of the whole car fleet. As a first step, survey studies were performed to develop a method for the optimization of car design with respect to frontal and

  7. STUDY ON CONTROL STRATEGY OF CLUTCH STARTING FOR CAR WITH A METAL PUSHING BELT-PLANETARY GEAR CONTINUOUSLY VARIABLE TRANSMISSION SYSTEM

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The automatic control of clutch starting in car with a metal pushing belt-planetary gear continuously variable transmission (CVT) is a complex problem. A suited control strategy is required to realize quick and smooth start. A simulation state space equation is established on clutch starting control of a car with CVT by bond graph theory. According to the fuzzy control method with the expert system, a fuzzy control system of car starting process to weaken the jerk motion is introduced. The simulation results indicate that the jerk motion of clutch starting is below 10 m/s3.

  8. Thoughts on Improving the Public Car Management%公车公牌管理模式研究

    Institute of Scientific and Technical Information of China (English)

    罗述权; 郑震

    2014-01-01

    目前公车管理仍未取得根本性突破。基于群众路线、信息公开政策,选择公车公牌管理模式,对公车实行公牌管理,并将公牌规则及其识别办法等相关信息多渠道公开,充分发动广大群众对公车进行有效监管。创新公车管理路径,提高公车使用绩效。%Using the public car non -business transaction is to use the government cars for private purposes . The number of China's official cars is large and generates high operation cost . It has been a problem to use the government cars for private purposes . Since the implementation of the eight Central Committee provisions , the national inspection departments , news media and the public on the public car supervision has effectively reduced the “three public expenses” . However , the non-mass , non-persistent effect mechanism on public car supervision has the limited success . Base on the mass line , the mechanism design theory and information disclosure policies , we can choose public car management . We can implement public car public brand management , open the public licensing rules , its identification method and other related information by kinds of channels and fully mobilize the masses to carry out effective supervision on the public car . The public car management path innovation can improve efficiency of the public car .

  9. The tariff for fire and theft car insurance: analysis with a Cox model

    Directory of Open Access Journals (Sweden)

    Bruno Scarpa

    2013-05-01

    Full Text Available In this paper we analyze the problem of identification of a tariff for a Fire & Theft Car policy for Insurance Companies. Usually companies obtain this tariff by empirical estimate of the pure rate by evaluating the impact of some personalization variables. In this paper we propose the usage of a semi-parametric Cox model, where the response variable is not the waiting time until an event, but the degree of damage because of theft or fire of a car. The proposed model allows to easily tackle typical problems in data available to the companies, like the presence of franchises, which are treated as censored data.

  10. Automatic Identification Method of Micro-blog Messages Containing Geographical Events%蕴含地理事件微博客消息的自动识别方法

    Institute of Scientific and Technical Information of China (English)

    仇培元; 陆锋; 张恒才; 余丽

    2016-01-01

    微博客文本蕴含类型丰富的地理事件信息,能够弥补传统定点监测手段的不足,提高事件应急响应质量。然而,由于大规模标注语料的普遍匮乏,无法利用监督学习过程识别蕴含地理事件信息的微博客文本。为此,本文提出一种蕴含地理事件微博客消息的自动识别方法,通过快速获取的语料资源增强识别效果。该方法利用主题模型具有提取文档中主题集合的优势,通过主题过滤候选语料文本,实现地理事件语料的自动提取。同时,将分布式表达词向量模型引入事件相关性计算过程,借助词向量隐含的语义信息丰富微博客短文本的上下文内容,进一步增强事件消息的识别效果。通过以新浪微博为数据源开展的实验分析表明,本文提出的蕴含地理事件信息微博客消息识别方法,识别来自事件微博话题的消息文本的F-1值可达到71.41%,比经典的基于SVM模型的监督学习方法提高了10.79%。在模拟真实微博环境的500万微博客数据集上的识别准确率达到60%。%Micro-blogs usually contain abundant types of geographical event information, which could compensate for the shortco-mings of traditional fixed point monitoring technologies and improve the quality of emergency response. Identify the micro-blog messages that containing the geographical event information is the prerequisite for fully utilizing this data source. The trigger-based and the supervised machine learning methods are commonly adopted to identify the event related texts. Comparatively, the super-vised machine learning methods have better performance than the trigger-based ones for unrestricted texts. Unfortunately, the lack of large-scale tagged corpuses cause the supervised machine learning methods cannot be implemented to identify the geographical event related messages. In this paper, we propose an automatic method for recognizing micro-blogs that are

  11. The benefits of improved car secondary safety.

    Science.gov (United States)

    Broughton, Jeremy

    2003-07-01

    The term 'secondary safety' refers to the protection that a vehicle provides its occupants when involved in an accident. This paper studies information from the British database of road accident reports between 1980 and 1998, to estimate the reduction in the number of occupant casualties over these years which may be attributed to improvements to secondary safety in cars. The paper shows that the proportion of driver casualties who are killed or seriously injured (KSI) is lower for modern cars than for older cars. The reduction of this proportion is used to assess the improvement in secondary safety. Statistical models are developed to represent the proportion with 'year of first registration' as one of the independent variables, although only an incomplete assessment of the benefits of improved secondary safety can be made with the available data. The assessment compares the number of casualties that would have been expected if secondary safety had remained at the level found in cars first registered in 1980 with the actual casualty numbers. It is estimated that improved secondary safety reduced the number of drivers KSI by at least 19.7% in 1998, in comparison with what might have occurred if all cars had had that lower level of secondary safety. This figure relates to all cars on the road in 1998, and rises to 33%, when confined to the most modern cars (those which were first registered in 1998).

  12. Full-Automatic Parking registration and payment

    DEFF Research Database (Denmark)

    Agerholm, Niels; Lahrmann, Harry; Jørgensen, Brian

    2014-01-01

    As part of ITS Platform North Denmark, a full-automatic GNSS-based parking payment (PP) system was developed (PP app). On the basis of the parking position and parking time, the PP app can determine the price of parking and collect the amount from the car owner’s bank account. The driver...... is informed about any initiation of PP via SMS message. If the driver finds the payment erroneous, it can be cancelled via SMS message. Parking attendants can check if the car in question has an ongoing payment for parking. To handle the problems with GNSS-based positioning in densely built-up areas......, an advanced map matching algorithm was integrated in the PP app. 24 of the participating vehicles used the PP app, and 58 parking payments were carried out without errors. In a few cases, the wrong parking area was selected. This was due to lack of information in the map rather than errors in the map matching...

  13. DIAGNOSTICS OF A MODERN CAR

    Directory of Open Access Journals (Sweden)

    Khrapov Y. N.

    2016-04-01

    Full Text Available The article presents a technical diagnostics of a car as a complex of goals and tasks connected with trouble-shooting of mechanisms and systems in order to eliminate them. We have considered the stages of computer diagnostics of different automobile systems such as diagnosing the engine, the brake system, steering and suspension. We have analyzed their components, the ways of troubleshooting and elimination recommendations. The article presents the main troubles transferred from the electronic control unit. The article also presents the stages of diagnosing the engine including external examination, listening to abnormal noises, checking the operating fluids and the engine management system, diagnosing the basic engine systems and checking the cylinders being filled. The article contains the list of main troubles and their reasons. One can also see diagnosing the brake system, its defects and remedies. The article presents diagnostics and repair of the suspender and graphics describing the check of the dismantled shock strut at the stand and tests of the shock strut without being dismantled. We have analyzed computer diagnostics and the problems it solves

  14. REPAIR TECHNOLOGY IMPROVEMENT OF SPECIALIZED FREIGHT CARS

    Directory of Open Access Journals (Sweden)

    V. M. Bubnov

    2016-02-01

    Full Text Available Purpose. The volume of cargo transportation demands the introduction of a new generation of cars that would be able to provide all the needs of carriers. But this is impossible without the implementation of renovation repair facilities with the introduction of new technologies and modernization of the repair process. Repair of rolling stock is a key factor that must proceed with the establishment of new cars, as not all of the inventions may be repaired in car-repair depots, most of which are obsolete. The purpose is to analyze the possibility of increasing the efficiency of the repair process by introducing new repair technologies or improving the existing ones. It will improve not only the quality of the repair, but also its rate. Methodology. Works on improving the designs of freight cars are held by many design organizations in almost all industrialized countries. It makes repair organizations (depots and car-repair plants to upgrade the repair process. Achievements of-this goal is possible by improving the technology renovation and reorganization through the use of flexible flow technologies, which to date are the most effective in the repair of rolling stock. Findings. When performing the analysis it was determined that there are different designs of cars. More of cars are all-purpose and their repair does not cause difficulties for car-repair business. However, the number of specialized cars is also significant, and the technology of their repair should be improved. One of the reasons is that many models, such as tank wagons for the carriage of sulfur, are intended for the carriage of dangerous goods and their failure at the time of motion is not permitted. Originality. Firstly the authors have defined direction at improving technologies of repair specialized cars. Practical value. Actual improvement in the construction of cars is to improve the existing repair facilities. In addition, the repair technology using nowadays when repairing

  15. Multimodal CARS microscopy of structured carbohydrate biopolymers

    Science.gov (United States)

    Slepkov, Aaron D.; Ridsdale, Andrew; Pegoraro, Adrian F.; Moffatt, Douglas J.; Stolow, Albert

    2010-01-01

    We demonstrate the utility of multimodal coherent anti-Stokes Raman scattering (CARS) microscopy for the study of structured condensed carbohydrate systems. Simultaneous second-harmonic generation (SHG) and spectrally-scanned CARS microscopy was used to elucidate structure, alignment, and density in cellulose cotton fibers and in starch grains undergoing rapid heat-moisture swelling. Our results suggest that CARS response of the O-H stretch region (3000 cm−1–3400 cm−1), together with the commonly-measured C-H stretch (2750 cm−1–2970 cm−1) and SHG provide potentially important structural information and contrast in these materials. PMID:21258555

  16. The Stylistic Analysis of car ads languages

    Institute of Scientific and Technical Information of China (English)

    张伟苹

    2014-01-01

    Automotive advertising language is mix of phonetics, vocabulary, rhetoric, syntax, and discourse language etc., and owning a strong promotional effect which can functioned as a bridge between language expression and promotion system for es-sential products and consumers. As a kind of the commercial advertising, car advertising with its own unique language features not only for product considerably, but also enriches the advertising language. In order to analysis the car ads, this article draws at-tention from the aspects of the phonetics, vocabulary, rhetoric and syntax features, and aims to get a further and better analysis or understanding of the car ads Languages.

  17. Multimodal CARS microscopy of structured carbohydrate biopolymers.

    Science.gov (United States)

    Slepkov, Aaron D; Ridsdale, Andrew; Pegoraro, Adrian F; Moffatt, Douglas J; Stolow, Albert

    2010-11-08

    We demonstrate the utility of multimodal coherent anti-Stokes Raman scattering (CARS) microscopy for the study of structured condensed carbohydrate systems. Simultaneous second-harmonic generation (SHG) and spectrally-scanned CARS microscopy was used to elucidate structure, alignment, and density in cellulose cotton fibers and in starch grains undergoing rapid heat-moisture swelling. Our results suggest that CARS response of the O-H stretch region (3000 cm(-1)-3400 cm(-1)), together with the commonly-measured C-H stretch (2750 cm(-1)-2970 cm(-1)) and SHG provide potentially important structural information and contrast in these materials.

  18. Omnidirectional Active Vision for Evolutionary Car Driving

    OpenAIRE

    2006-01-01

    We describe a set of simulations to evolve omnidirectional active vision, an artificial retina scanning over images taken via an omnidirectional camera, being applied to a car driving task. While the retina can immediately access features in any direction, it is asked to select behaviorally-relevant features so as to drive the car on the road. Neural controllers which direct both the retinal movement and the system behavior, i.e., the speed and the steering angle of the car, are tested in thr...

  19. Substitution between cars within the household

    DEFF Research Database (Denmark)

    De Borger, Bruno; Mulalic, Ismir; Rouwendal, Jan

    2016-01-01

    .98 and 1.41 for the primary and secondary cars, respectively. Accounting for substitution effects, these figures reduce to, respectively, 0.32 and 0.45. Consistent with substitution behaviour, we find that the fuel price elasticity of fuel demand exceeds the elasticity of kilometre demands with respect...... to the fuel price; the difference strongly increases at the highest deciles of the distribution of kilometre demand. Extending the model to account for driver heterogeneity and the role of car characteristics confirmed the relevance of substitution between cars within the household. We found strong evidence......’ fuel efficiency choices are related to their price sensitivity....

  20. Automatic Program Development

    DEFF Research Database (Denmark)

    by members of the IFIP Working Group 2.1 of which Bob was an active member. All papers are related to some of the research interests of Bob and, in particular, to the transformational development of programs and their algorithmic derivation from formal specifications. Automatic Program Development offers......Automatic Program Development is a tribute to Robert Paige (1947-1999), our accomplished and respected colleague, and moreover our good friend, whose untimely passing was a loss to our academic and research community. We have collected the revised, updated versions of the papers published in his...... honor in the Higher-Order and Symbolic Computation Journal in the years 2003 and 2005. Among them there are two papers by Bob: (i) a retrospective view of his research lines, and (ii) a proposal for future studies in the area of the automatic program derivation. The book also includes some papers...

  1. Automatic text summarization

    CERN Document Server

    Torres Moreno, Juan Manuel

    2014-01-01

    This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state of the art. The book shows the main problems of ADS, difficulties and the solutions provided by the community. It presents recent advances in ADS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several exemples are included in order to clarify the theoretical concepts.  The books currently available in the area of Automatic Document Summarization are not recent. Powerful algorithms have been develop

  2. Automatic Camera Control

    DEFF Research Database (Denmark)

    Burelli, Paolo; Preuss, Mike

    2014-01-01

    Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate howto translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual...... camera. We approach this problem by modelling it as a dynamic multi-objective optimisation problem and show how this metaphor allows a much richer expressiveness than a classical single objective approach. Finally, we showcase the application of a multi-objective evolutionary algorithm to generate a shot...

  3. Electric cars for Germany; Deutschland stromert

    Energy Technology Data Exchange (ETDEWEB)

    Wiedemann, Karsten

    2010-09-15

    The German government has defined eight model regions in which electric cars will be funded. Results are not available as yet, but there are experts who criticize the focus on electric-powered vehicles. (orig.)

  4. Car-following models of vehicular traffic

    Institute of Scientific and Technical Information of China (English)

    翁彦琳; 吴铁军

    2002-01-01

    The Car-following model is a kind of microscopic simulation model for vehicular traffic, which describe the one-by-one following behaviors of vehides in the same traffic lane. As a common traffic phenomenon, following behavior is of great importance in the micro-study of intelligent traffic control.Compared with other traffic-flow models, car-following model embodies the human factors and feflects the real traffic sit-uation in a better way. This paper gives a systematic review of the development and actuality of car-following models by introducing and analyzing in detail the advantages and disavantages of GHR model, OV model,CA model and fuzzy-logic model. In addition, local stability and asymptotic stability of car-following models are discussed in this paper.

  5. Computer Security: your car, my control

    CERN Multimedia

    Stefan Lueders, Computer Security Team

    2015-01-01

    We have discussed the Internet of Things (IoT) and its security implications already in past issues of the CERN Bulletin, for example in “Today’s paranoia, tomorrow’s reality” (see here). Unfortunately, tomorrow has come. At this years's Black Hat conference researchers presented their findings on how easily your car can be hacked and controlled remotely. Sigh.   While these researchers have just shown that they can wirelessly hijack a Jeep Cherokee, others have performed similar studies with SmartCars, Fords, a Tesla, a Corvette, BMWs, Chryslers and Mercedes! With the increasing computerisation of cars, the engine management system, air conditioning, anti-lock braking system, electronic stability programme, etc. are linked to the infotainment, navigation and communication systems, opening the door for these vehicles to be hacked remotely. The now prevalent Bluetooth connection with smartphones is one entry vector to attack your car remotely...

  6. Car-following models of vehicular traffic

    Institute of Scientific and Technical Information of China (English)

    翁彦琳; 吴铁军

    2002-01-01

    The Car-following models is a kind of microscopic simulation model f or vehicular traffic, which describe the one-by-one following behaviors of v ehicles in the same traffic lane. As a common traffic phenomenon, following behavior is of great importance in the micro-study of intelligent traffic control. Compared with other traffic-flow models, car-following model embodies the human factors a nd reflects the real traffic situation in a better way. This paper gives a syste matic review of the development and actuality of car-following models by introd u cing and analyzing in detail the advantages and disadvantages of GHR model, OV m odel, CA model and fuzzy-logic model. In addition, local stability and asymptot ic stability of car-following models are discussed in this paper.

  7. 基于Matlab实现音乐识别与自动配置和声的功能%The realization of identification of music and configuration of harmony automatically based on matlab

    Institute of Scientific and Technical Information of China (English)

    杨若芳; 项顶

    2011-01-01

    This paper deals with a set of methods for how to use Matlab to carry on the recognition for the musical performance, and the automatic disposition corresponding harmony. It analyzes the entire process, which the harmony of many timbre comes automatically from a section of existing piano single-tone melody finally, and synthesizes physics, mathematics, automation and music and so on related knowledge, finally realizes the function of configuration of harmony automatically.%给出了如何使用Matlab对现实演奏的音乐进行识别、并自动配置相应的和声的一套方法.详细分析了,从一段现有的钢琴单音旋律到最终自动产生和谐的多音色和卢的整个过程.综合了物理、数学、自动化、音乐等领域的相关知识,最终实现自动给音乐配和声的功能.

  8. Notice of car park and road closures

    CERN Multimedia

    2006-01-01

    The arrival of one of the end caps of the CMS Tracker in Building 186 will result in the temporary closure of the following car parks: Building186: south entrance Building 613 Building 28 Building181: south entrance Building 600 Building 31 Route Oppenheimer The car parks concerned will be closed from Monday 30 October until the evening of Tuesday 31 October. Thank you for your cooperation. PH-CMT Group Tel. 164569

  9. Notice of car park and road closures

    CERN Multimedia

    2006-01-01

    The arrival of one of the end caps of the CMS Tracker in Building 186 will result in the temporary closure of the following car parks: Building186: south entrance Building 613 Building 28 Building181: south entrance Building 600 Building 31 Route Oppenheimer The car parks concerned will be closed from Sunday 22 October until the evening of Monday 23 October. Thank you for your cooperation. PH-CMT Group Tel. 164569

  10. The individual car transportation and its aspects

    OpenAIRE

    Jiří Alina

    2009-01-01

    Automobile transport is integral part of everyday modern live. On the other hand all the time bigger quantity of cars on roads and motorways slows down the transport speed, road are overloaded, congested, thereby human mobility holds down. Last but not least heavy traffic bears much bad influence above all for environment and landscape. On that ground it's needed to analyze individual car transport, its aspects, usage and problems. Consequences, which have been found from research, are in man...

  11. The Goods Upstairs Car Innovative Design

    Science.gov (United States)

    Wang, Feng-Lan; Zhang, Bo; Gao, Bo; Liu, Yan-Xin; Gao, Bo

    2016-05-01

    The design is a new kind of cars used for loading goods when you upstairs. The cars -- ones are very safe and convenient --consist of body, chassis, bottom, round, object, stage, upstairs, train wheels, handles, storage tank, security fence etc. The design, composed of combination of each structure, achieves the purpose of loading goods and even some large potted plants when you go upstairs or downstairs very flatly.

  12. Travel Time Estimation Using Floating Car Data

    CERN Document Server

    Sevlian, Raffi

    2010-01-01

    This report explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month on a 5 Km highway in New Delhi.

  13. Automatic Complexity Analysis

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1989-01-01

    One way to analyse programs is to to derive expressions for their computational behaviour. A time bound function (or worst-case complexity) gives an upper bound for the computation time as a function of the size of input. We describe a system to derive such time bounds automatically using abstract...

  14. Exploring Automatization Processes.

    Science.gov (United States)

    DeKeyser, Robert M.

    1996-01-01

    Presents the rationale for and the results of a pilot study attempting to document in detail how automatization takes place as the result of different kinds of intensive practice. Results show that reaction times and error rates gradually decline with practice, and the practice effect is skill-specific. (36 references) (CK)

  15. Automaticity and Reading: Perspectives from the Instance Theory of Automatization.

    Science.gov (United States)

    Logan, Gordon D.

    1997-01-01

    Reviews recent literature on automaticity, defining the criteria that distinguish automatic processing from non-automatic processing, and describing modern theories of the underlying mechanisms. Focuses on evidence from studies of reading and draws implications from theory and data for practical issues in teaching reading. Suggests that…

  16. 49 CFR 215.119 - Defective freight car truck.

    Science.gov (United States)

    2010-10-01

    ... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD FREIGHT CAR SAFETY STANDARDS Freight Car Components Suspension System § 215.119 Defective freight car truck. A railroad may not place or continue in service a... 49 Transportation 4 2010-10-01 2010-10-01 false Defective freight car truck. 215.119 Section...

  17. Premium small car demand,not rising in China

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>A growing number of worldwide car makers are focusing on making premium or luxury small cars. These cars ensure sales income, stabilize their market share and they are a good reflection of a civic-oriented society. But why these kinds of cars are unable to create market demand in China where resources supply is tougher than in most countries.

  18. Modelling strategic responses to car and fuel taxation

    NARCIS (Netherlands)

    Heijnen, P.; Kooreman, P.

    2006-01-01

    We develop a model to analyse the interactions between actors involved in car and fuel taxation: consumers, car producers, fuel producers and the government. Heterogeneous consumers choose between two versions of a car that differ in engine type (diesel or gasoline). Car manufacturers and fuel produ

  19. Modeling Strategic Interactions to Car and Fuel Taxation

    NARCIS (Netherlands)

    Heijnen, P.; Kooreman, P.

    2006-01-01

    We develop a model to analyse the interactions between actors involved in car and fuel taxation: consumers, car producers, fuel producers and the government. Heterogeneous consumers choose between two versions of a car that differ in engine type (diesel or gasoline). Car manufacturers and fuel produ

  20. Profiling School Shooters: Automatic Text-Based Analysis

    Directory of Open Access Journals (Sweden)

    Yair eNeuman

    2015-06-01

    Full Text Available School shooters present a challenge to both forensic psychiatry and law enforcement agencies. The relatively small number of school shooters, their various charateristics, and the lack of in-depth analysis of all of the shooters prior to the shooting add complexity to our understanding of this problem. In this short paper, we introduce a new methodology for automatically profiling school shooters. The methodology involves automatic analysis of texts and the production of several measures relevant for the identification of the shooters. Comparing texts written by six school shooters to 6056 texts written by a comparison group of male subjects, we found that the shooters' texts scored significantly higher on the Narcissistic Personality dimension as well as on the Humilated and Revengeful dimensions. Using a ranking/priorization procedure, similar to the one used for the automatic identification of sexual predators, we provide support for the validity and relevance of the proposed methodology.

  1. MINUTIAE EXTRACTION BASED ON ARTIFICIAL NEURAL NETWORKS FOR AUTOMATIC FINGERPRINT RECOGNITION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Necla ÖZKAYA

    2007-01-01

    Full Text Available Automatic fingerprint recognition systems are utilised for personal identification with the use of comparisons of local ridge characteristics and their relationships. Critical stages in personal identification are to extract features automatically, fast and reliably from the input fingerprint images. In this study, a new approach based on artificial neural networks to extract minutiae from fingerprint images is developed and introduced. The results have shown that artificial neural networks achieve the minutiae extraction from fingerprint images with high accuracy.

  2. Are weeds hitchhiking a ride on your car? A systematic review of seed dispersal on cars.

    Science.gov (United States)

    Ansong, Michael; Pickering, Catherine

    2013-01-01

    When traveling in cars, we can unintentionally carry and disperse weed seed; but which species, and where are they a problem? To answer these questions, we systematically searched the scientific literature to identify all original research studies that assess seed transported by cars and listed the species with seed on/in cars. From the 13 studies that fit these criteria, we found 626 species from 75 families that have seed that can be dispersed by cars. Of these, 599 are listed as weeds in some part of the world, with 439 listed as invasive or naturalized alien species in one or more European countries, 248 are invasive/noxious weeds in North America, 370 are naturalized alien species in Australia, 167 are alien species in India, 77 are invasive species in China and 23 are declared weeds/invaders in South Africa. One hundred and one are classified as internationally important environmental weeds. Although most (487) were only recorded once, some species such as Chenopodium album, Poa pratensis and Trifolium repens were common among studies. Perennial graminoids seem to be favoured over annual graminoids while annual forbs are favoured over perennial forbs. Species characteristics including seed size and morphology and where the plants grew affected the probability that their seed was transported by cars. Seeds can be found in many different places on cars including under the chassis, front and rear bumpers, wheel wells and rims, front and back mudguards, wheel arches, tyres and on interior floor mats. With increasing numbers of cars and expanding road networks in many regions, these results highlight the importance of cars as a dispersal mechanism, and how it may favour invasions by some species over others. Strategies to reduce the risk of seed dispersal by cars include reducing seed on cars by mowing road verges and cleaning cars.

  3. Are weeds hitchhiking a ride on your car? A systematic review of seed dispersal on cars.

    Directory of Open Access Journals (Sweden)

    Michael Ansong

    Full Text Available When traveling in cars, we can unintentionally carry and disperse weed seed; but which species, and where are they a problem? To answer these questions, we systematically searched the scientific literature to identify all original research studies that assess seed transported by cars and listed the species with seed on/in cars. From the 13 studies that fit these criteria, we found 626 species from 75 families that have seed that can be dispersed by cars. Of these, 599 are listed as weeds in some part of the world, with 439 listed as invasive or naturalized alien species in one or more European countries, 248 are invasive/noxious weeds in North America, 370 are naturalized alien species in Australia, 167 are alien species in India, 77 are invasive species in China and 23 are declared weeds/invaders in South Africa. One hundred and one are classified as internationally important environmental weeds. Although most (487 were only recorded once, some species such as Chenopodium album, Poa pratensis and Trifolium repens were common among studies. Perennial graminoids seem to be favoured over annual graminoids while annual forbs are favoured over perennial forbs. Species characteristics including seed size and morphology and where the plants grew affected the probability that their seed was transported by cars. Seeds can be found in many different places on cars including under the chassis, front and rear bumpers, wheel wells and rims, front and back mudguards, wheel arches, tyres and on interior floor mats. With increasing numbers of cars and expanding road networks in many regions, these results highlight the importance of cars as a dispersal mechanism, and how it may favour invasions by some species over others. Strategies to reduce the risk of seed dispersal by cars include reducing seed on cars by mowing road verges and cleaning cars.

  4. Pollutants Characterization of Car Wash Wastewater

    Directory of Open Access Journals (Sweden)

    Hashim Nor Haslina

    2016-01-01

    Full Text Available The huge quantity of water consumed per car during washing cars yields the untreated effluents discharged to the stormwater system. Wastewater samples from snow car wash and two full hand service car wash station were analyzed for pH and the presence of PO43-,TP, O&G, alkalinity, TSS, NO3-, NO2-, COD and surfactant in accordance Standard Method of Water and Wastewater 2012. Two full hand wash service stations and one station of snow foam service were investigated in this study. Amongst the stations, snow foam car wash station indicates the highest concentration of PO43-, TP, O&G, TSS, COD and surfactant with the average value of 10.18 ± 0.87 mg/L, 30.93 ± 0.31 mg/L , 85.00 ± 0.64 mg/L 325.0 ± 0.6 mg/L, 485.0 ± 0.3 mg/L and 54.00 ± 2.50 mg/L as MBAS, respectively. Whereas, in parameters characterization in different stages throughout the car wash process, O&G was found to be the highest in pre soak stage, PO43-, TP, TSS and COD in washing stage and NO3- and NO2- in rinse stage. All parameters were compared to Environmental Quality (Industrial Effluent Regulations, 2009. There is a strong need to study on the characterization of car wash water in order to suggest the suitable treatment need for this type of wastewater.

  5. 49 CFR 180.519 - Periodic retest and inspection of tank cars other than single-unit tank car tanks.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Periodic retest and inspection of tank cars other... of Tank Cars § 180.519 Periodic retest and inspection of tank cars other than single-unit tank car... devices must be retested periodically as specified in Retest Table 1 of paragraph (b)(5) of this...

  6. 自动变速器现状及发展前景分析%Analyze Present Situation and Development Prospect of Automatic Transmission

    Institute of Scientific and Technical Information of China (English)

    王乐; 孙炜; 高佩

    2014-01-01

    Automatic transmission increasingly favored by the users, various car manufacture have invested a lot of efforts and money to develop an automatic transmission,Car matching automatic transmission rate is increasing year by year. This paper, several automatic transmissions are introduced,also analyzed the development prospect of automatic transmissions.%汽车自动变速器逐渐受到用户的青睐,各汽车生产厂商也纷纷投入大量精力与财力研制自动变速器。汽车匹配自动变速器的比率正在逐年增加,文章对目前市场上几种自动变速器分别做介绍,并简单分析其发展前景。

  7. An improved car-following model with multiple preceding cars' velocity fluctuation feedback

    Science.gov (United States)

    Guo, Lantian; Zhao, Xiangmo; Yu, Shaowei; Li, Xiuhai; Shi, Zhongke

    2017-04-01

    In order to explore and evaluate the effects of velocity variation trend of multiple preceding cars used in the Cooperative Adaptive Cruise Control (CACC) strategy on the dynamic characteristic, fuel economy and emission of the corresponding traffic flow, we conduct a study as follows: firstly, with the real-time car-following (CF) data, the close relationship between multiple preceding cars' velocity fluctuation feedback and the host car's behaviors is explored, the evaluation results clearly show that multiple preceding cars' velocity fluctuation with different time window-width are highly correlated to the host car's acceleration/deceleration. Then, a microscopic traffic flow model is proposed to evaluate the effects of multiple preceding cars' velocity fluctuation feedback in the CACC strategy on the traffic flow evolution process. Finally, numerical simulations on fuel economy and exhaust emission of the traffic flow are also implemented by utilizing VT-micro model. Simulation results prove that considering multiple preceding cars' velocity fluctuation feedback in the control strategy of the CACC system can improve roadway traffic mobility, fuel economy and exhaust emission performance.

  8. Forecasting U.S. Car Sales and Car Registrations in Japan: Rationality, Accuracy and Herding

    DEFF Research Database (Denmark)

    Stadtmann, Georg; Rülke, Jan; Pierdzioch, Christian

    2011-01-01

    We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is...

  9. Improved Support Vector Machine Approach Based on Determining Thresholds Automatically

    Institute of Scientific and Technical Information of China (English)

    WANG Xiao-hua; YAN Xue-mei; WANG Xiao-guang

    2007-01-01

    To improve the training speed of support vector machine (SVM), a method called improved center distance ratio method (ICDRM) with determining thresholds automatically is presented here without reduce the identification rate. In this method border vectors are chosen from the given samples by comparing sample vectors with center distance ratio in advance. The number of training samples is reduced greatly and the training speed is improved. This method is used to the identification for license plate characters. Experimental results show that the improved SVM method-ICDRM does well at identification rate and training speed.

  10. Automaticity or active control

    DEFF Research Database (Denmark)

    Tudoran, Ana Alina; Olsen, Svein Ottar

    aspects of the construct, such as routine, inertia, automaticity, or very little conscious deliberation. The data consist of 2962 consumers participating in a large European survey. The results show that habit strength significantly moderates the association between satisfaction and action loyalty, and......This study addresses the quasi-moderating role of habit strength in explaining action loyalty. A model of loyalty behaviour is proposed that extends the traditional satisfaction–intention–action loyalty network. Habit strength is conceptualised as a cognitive construct to refer to the psychological......, respectively, between intended loyalty and action loyalty. At high levels of habit strength, consumers are more likely to free up cognitive resources and incline the balance from controlled to routine and automatic-like responses....

  11. Automatic Ultrasound Scanning

    DEFF Research Database (Denmark)

    Moshavegh, Ramin

    Medical ultrasound has been a widely used imaging modality in healthcare platforms for examination, diagnostic purposes, and for real-time guidance during surgery. However, despite the recent advances, medical ultrasound remains the most operator-dependent imaging modality, as it heavily relies...... on the user adjustments on the scanner interface to optimize the scan settings. This explains the huge interest in the subject of this PhD project entitled “AUTOMATIC ULTRASOUND SCANNING”. The key goals of the project have been to develop automated techniques to minimize the unnecessary settings...... on the scanners, and to improve the computer-aided diagnosis (CAD) in ultrasound by introducing new quantitative measures. Thus, four major issues concerning automation of the medical ultrasound are addressed in this PhD project. They touch upon gain adjustments in ultrasound, automatic synthetic aperture image...

  12. Automatic trend estimation

    CERN Document Server

    Vamos¸, C˘alin

    2013-01-01

    Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics.

  13. Powertrain management in sports cars in order to reduce fuel consumption; Antriebsmanagement bei Sportfahrzeugen zur Reduzierung des Kraftstoffverbrauchs

    Energy Technology Data Exchange (ETDEWEB)

    Spiegel, L.; Kerkau, M.; Bofinger, G.; Mueller, S.; Meier, R.; Neusser, H.J. [Dr. Ing. h.c. F. Porsche AG, Weissach (Germany)

    2008-07-01

    In current sports car development - where fuel efficiency has always played a predominant role - one of the central targets is the reduction of fuel consumption. In order to maximize the benefits of improved fuel economy it is necessary to consistently optimize many of the known parameters and have them controlled by a corresponding Powertrain Management System. This presentation explains Porsche's layout philosophy and outlines the technologies used to implement a Powertrain Management specifically designed for application in sports cars. This Powertrain Management System coordinates the chosen technologies and combines them into an efficient drive system. The driver is given the possibility of making his choice between a regular program and a sports option. Further, this presentation describes a Thermal Management System meant to optimize engine warm-up as well as the part-load and full-load modes while giving consideration to the specific requirements of sports car operation. It also deals in great detail with the inherent potential of an idle stop system and its integration into the car, which is rather complicated. In addition, this paper looks into adaptive shift strategies for automatic transmissions with the aim of automatically selecting performance-oriented shift points tuned for optimum fuel consumption values. (orig.)

  14. Automatic food decisions

    DEFF Research Database (Denmark)

    Mueller Loose, Simone

    Consumers' food decisions are to a large extent shaped by automatic processes, which are either internally directed through learned habits and routines or externally influenced by context factors and visual information triggers. Innovative research methods such as eye tracking, choice experiments...... and food diaries allow us to better understand the impact of unconscious processes on consumers' food choices. Simone Mueller Loose will provide an overview of recent research insights into the effects of habit and context on consumers' food choices....

  15. Computer assisted radiology and surgery. CARS 2010

    Energy Technology Data Exchange (ETDEWEB)

    Anon.

    2010-06-15

    The conference proceedings include contributions to the following topics: (1) CARS Clinical Day: minimally invasive spiral surgery, interventional radiology; (2) CARS - computer assisted radiology and surgery: ophthalmology, stimulation methods, new approaches to diagnosis and therapy; (3) Computer assisted radiology 24th International congress and exhibition: computer tomography and magnetic resonance, digital angiographic imaging, digital radiography, ultrasound, computer assisted radiation therapy, medical workstations, image processing and display; (4) 14th Annual conference of the International Society for computer aided surgery; ENT-CMF head and neck surgery computer-assisted neurosurgery, cardiovascular surgery, image guided liver surgery, abdominal and laparoscopic surgery, computer-assisted orthopedic surgery, image processing and visualization, surgical robotics and instrumentation, surgical modeling, simulation and education; (5) 28th International EuroPACS meeting: image distribution and integration strategies, planning and evaluation, telemedicine and standards, workflow and data flow in radiology; (6) 11th CARS/SPIE/EuroPACS joint workshop on surgical PACS and the digital operating, management and assessment of OR systems and integration; (7) 12th International workshop on computer-aided diagnosis: special session on breast CAD, special session on thoracic CAD, special session on abdominal brain, lumbar spine CAD; (8) 16th computed Maxillofacial imaging congress: computed maxillofacial imaging in dental implantology, orthodontics and dentofacial orthopedics; approaches to 3D maxillofacial imaging; surgical navigation; (9) 2nd EuroNOTES/CARS workshop on NOTES: an interdisciplinary challenge; (10) 2nd EPMA/CARS workshop on personalized medicine and ICT.; (11)poster sessions.

  16. The old-new car sticker

    CERN Multimedia

    2000-01-01

    You have had the same car sticker for ten years and have been driving in and out of CERN every day. Suddenly one morning the guard stops you and tells you need a new one. Hmmm ?! “There were 60 000 stickers in circulation in Geneva and we could not control wether the sticker had been distributed to the right person”, saysa Claude Ducastel, responsible for Entrance Security. “So to solve this problem, last year DSU decided to change Operational Circular N°2 and introduce new car stickers that will be changed every year.” Three types of car stickers were introduced: blue, green and red. The blue one is for staff members whose contract is for one year or more. It indicates the plate number of the car. The green one is for staff members whose contract is for less than one year. It indicates the plate number of the car and the date the contract of the employee terminates. It also has a big L for "Limited". The red one is for enterprise subcontractors whose contracts finish at the end of the year. If ...

  17. Automatization of lexicographic work

    Directory of Open Access Journals (Sweden)

    Iztok Kosem

    2013-12-01

    Full Text Available A new approach to lexicographic work, in which the lexicographer is seen more as a validator of the choices made by computer, was recently envisaged by Rundell and Kilgarriff (2011. In this paper, we describe an experiment using such an approach during the creation of Slovene Lexical Database (Gantar, Krek, 2011. The corpus data, i.e. grammatical relations, collocations, examples, and grammatical labels, were automatically extracted from 1,18-billion-word Gigafida corpus of Slovene. The evaluation of the extracted data consisted of making a comparison between the time spent writing a manual entry and a (semi-automatic entry, and identifying potential improvements in the extraction algorithm and in the presentation of data. An important finding was that the automatic approach was far more effective than the manual approach, without any significant loss of information. Based on our experience, we would propose a slightly revised version of the approach envisaged by Rundell and Kilgarriff in which the validation of data is left to lower-level linguists or crowd-sourcing, whereas high-level tasks such as meaning description remain the domain of lexicographers. Such an approach indeed reduces the scope of lexicographer’s work, however it also results in the ability of bringing the content to the users more quickly.

  18. Car accidents and number of stopped cars due to road blockage on a one-lane highway

    CERN Document Server

    Boccara, N; Zeng, Q

    1997-01-01

    Within the framework of a simple model of car traffic on a one-lane highway, we study the probability for car accidents to occur when drivers do not respect the safety distance between cars, and, as a result of the blockage during the time $T$ necessary to clear the road, we determine the number of stopped cars as a function of car density. We give a simple theory in good agreement with our numerical simulations.

  19. Output Only Modal Testing of a Car Body Subject to Engine Excitation

    DEFF Research Database (Denmark)

    Brincker, Rune; Andersen, P.; Møller, N.

    2000-01-01

    on the raw data in time domain, a data driven Stochastic Subspace Identification (SSI) algorithm. Both techniques identified 16 modes under 85 Hz. The results of the two techniques were validated against each other. It was concluded, that even though some of the identified mode showed an unsatisfactory......In this paper an output only modal testing and identification of a car body subject to engine excitation is presented. The response data were analysed using two different techniques: a non-parametric technique based on Frequency Domain Decomposition (FDD), and a parametric technique working...

  20. Output Only Modal Testing of a Car Body Subject to Engine Excitation

    DEFF Research Database (Denmark)

    Brincker, Rune; Andersen, Palle; Møller, Nis;

    2000-01-01

    on the raw data in time domain, a data driven Stochastic Subspace Identification (SSI) algorithm. Both techniques identified 16 modes under 85 Hz. The results of the two techniques were validated against each other. It was concluded, that even though some of the identified modes showed an unsatisfactory......In this paper an output only modal testing and identification of a car body subject to engine excitation is presented. The response data were analyzed using two different techniques: a non-parametric technique based on Frequency Domain Decomposition (FDD), and a parametric technique working...

  1. Noise mapping inside a car cabin

    DEFF Research Database (Denmark)

    Knudsen, Kim; Sjøj, Sidsel Marie Nørholm; Jacobsen, Finn

    The mapping of noise is of considerable interest in the car industry where a good noise mapping can make it much easier to identify the sources that generate the noise and eventually reduce the individual contributions to the noise. The methods used for this purpose include delay-and-sum beamform......The mapping of noise is of considerable interest in the car industry where a good noise mapping can make it much easier to identify the sources that generate the noise and eventually reduce the individual contributions to the noise. The methods used for this purpose include delay......-and-sum beamforming and spherical harmonics beamforming. These methods have a poor spatial esolution at low frequencies, and since much noise generated in cars is dominated by low frequencies the methods are not optimal. In the present paper the mapping is done by solving an inverse problem with a transfer matrix...

  2. Automatic Caption Generation for Electronics Textbooks

    Directory of Open Access Journals (Sweden)

    Veena Thakur

    2014-12-01

    Full Text Available Automatic or semi-automatic approaches for developing Technology Supported Learning Systems (TSLS are required to lighten their development cost. The main objective of this paper is to automate the generation of a caption module; it aims at reproducing the way teachers prepare their lessons and the learning material they will use throughout the course. Teachers tend to choose one or more textbooks that cover the contents of their subjects, determine the topics to be addressed, and identify the parts of the textbooks which may be helpful for the students it describes the entities, attributes, role and their relationship plus the constraints that govern the problem domain. The caption model is created in order to represent the vocabulary and key concepts of the problem domain. The caption model also identifies the relationships among all the entities within the scope of the problem domain, and commonly identifies their attributes. It defines a vocabulary and is helpful as a communication tool. DOM-Sortze, a framework that enables the semi-automatic generation of the Caption Module for technology supported learning system (TSLS from electronic textbooks. The semiautomatic generation of the Caption Module entails the identification and elicitation of knowledge from the documents to which end Natural Language Processing (NLP techniques are combined with ontologies and heuristic reasoning.

  3. Studies of clobazam and car-driving.

    Science.gov (United States)

    Biehl, B

    1979-01-01

    1 The methodology used in studies to assess the effects of drugs on car-driving performance is reviewed. 2 Clobazam 20 mg, diazepam 10 mg or placebo were administered daily for 3 d to 24-male students with a high neuroticism score (on the Cattell Personality Factors Questionnaire). 3 Car driving performance was assessed on the second day in real traffic conditions; tests of attention and concentration and subjective assessments were made on the third day. 4 Diazepam 10 mg significantly impaired braking reaction time in comparison with clobazam 20 mg and placebo (P less than 0.01). Subjects also reported feeling more 'depressed' and lethargic after diazepam.

  4. Audi cars Sponsored to Summer Davos

    Institute of Scientific and Technical Information of China (English)

    You Wanlong

    2009-01-01

    @@ During the upcoming Summer Davos in Asia this year,it is not only the grand affair to Dalian city,but also for the Audi cars,as the exclusive vehicle sunnlier for the event The Vehicle Handover Ceremony of the Faw Volkswagen Audi was held at Xinghai Square,Dalian,China,September 3,2009. Faw Volkswa,vehicle sponsor of the Summer Davos 2009,provides a total of 85 new Audi cars to be running for the distinguished guests during the meeting.

  5. Occupant safety in modern passenger cars.

    Science.gov (United States)

    Fildes, B N; Vulcan, A P; Lenard, J

    1992-06-01

    A study was undertaken recently for the Federal Office of Road Safety in Australia of 150 modern vehicle crashes where at least one of the vehicle occupants was admitted to hospital. The types of injuries sustained by occupants of modern Australian passenger cars involved in road crashes (including points of contact within the vehicle) were assessed to provide direction for future improvements in occupant protection. Seat belt performance in all seating positions was of particular interest. While the limited number of cases did not permit a full and detailed statistical analysis of these data, the findings nevertheless show there is scope for improving occupant protection for drivers and passengers of modern passenger cars.

  6. Substitution between Cars within the Household

    DEFF Research Database (Denmark)

    de Borger, Bruno; Mulalic, Ismir; Rouwendal, Jan

    , respectively. When we do take into account the substitution effect, these figures reduce to, respectively, -0.32 and -0.45. We further estimate an alternative version of the model to test the hypothesis that substitution in response to higher fuel prices will be predominantly from the least to the most fuel...... efficient car, finding partial support for the underlying hypothesis. More importantly, the results of this extended model emphasize the importance of behavioural differences related to the position of the most fuel efficient car in the household, suggesting that households’ fuel efficiency choices...

  7. Scientists Explain Catalysis Neutralizing Car's Tail Gas

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ The neutralization of the car's tail gas is a problem of practical importance in the eyes of both experimental and theoretical physicists. Recently, a group of CAS scientists join hands with the Queen's University of Belfast in the UK to make advances in exploring the process of CO oxidation in a bid to reduce the air pollution caused by the car's exhaust gas. The work has been supported by the "National 973Program" and the CAS Foundation for Overseas Studies. On March 4,its result was published by the Internet edition of the Journal of the American Chemical Society.

  8. Analysis of automobile’s automatic control systems for the hill climbing start

    Directory of Open Access Journals (Sweden)

    Valeriy I. Klimenko

    2014-12-01

    Full Text Available To improve road safety while driving on the rise, facilitating the driver’s activity the automobile industry leaders are introducing automatic hill-hold control systems into the car design. This study purpose relates to the existing automatic start control systems’ design analysis. Analyzed are the existing design developments of automatic hill start assist control systems applied for driving at the start of the climbing. The effected research allows to select the scheme for further development of start driving automatic control systems. Further improvement of driving control systems and primarily the driver assistance hill-hold control systems is necessary to increase both the driving comfort and the traffic safety.

  9. Exciter system identification and automatic tuning of linear combination-type power system stabilizers Prony analysis; Prony kaiseki ni motozuku reijikei no dotei to hiritsu kasangata PSS no jido sekkei hoho

    Energy Technology Data Exchange (ETDEWEB)

    Amano, M.; Watanabe, M.; Banjo, M. [Hitachi, Ltd., Tokyo (Japan)

    1997-07-01

    The objective of this paper is to present anew automatic tuning method of power system stabilizers using Prony analysis. Irony analysis is used for detecting oscillation frequency, damping, phase, and amplitude from power oscillation waveform data. By applying the method to the waveform data of stabilizing signal and internal induced voltage, exciter system phase lag and oscillation frequency can be identified, and control parameters are decided using the identified values. Linear combination-type power system stabilizers are effective for damping low frequency oscillations using two control input signals, generator power and bus voltage frequency. The control parameters can be directly derived from the oscillation frequency and the excitation system phase lag without using phase compensation. Simulation results show that the proposed method is effective both in one machine-infinite bus system and in a multimachine system. The method can be used for off-line controller design and also for on-line adaptive control. 9 refs., 15 figs., 4 tabs.

  10. Cars, corporations, and commodities: consequences for the social determinants of health.

    Science.gov (United States)

    Woodcock, James; Aldred, Rachel

    2008-02-21

    Social epidemiologists have drawn attention to health inequalities as avoidable and inequitable, encouraging thinking beyond proximal risk factors to the causes of the causes. However, key debates remain unresolved including the contribution of material and psychosocial pathways to health inequalities. Tools to operationalise social factors have not developed in tandem with conceptual frameworks, and research has often remained focused on the disadvantaged rather than on forces shaping population health across the distribution. Using the example of transport, we argue that closer attention to social processes (capital accumulation and motorisation) and social forms (commodity, corporation, and car) offers a way forward. Corporations tied to the car, primarily oil and vehicle manufacturers, are central to the world economy. Key drivers in establishing this hegemony are the threat of violence from motor vehicles and the creation of distance through the restructuring of place. Transport matters for epidemiology because the growth of mass car ownership is environmentally unsustainable and affects population health through a myriad of pathways. Starting from social forms and processes, rather than their embodiment as individual health outcomes and inequalities, makes visible connections between road traffic injuries, obesity, climate change, underdevelopment of oil producing countries, and the huge opportunity cost of the car economy. Methodological implications include a movement-based understanding of how place affects health and a process-orientated integration of material and psychosocial explanations that, while materially based, contests assumptions of automatic benefits from economic growth. Finally, we identify car and oil corporations as anti-health forces and suggest collaboration with them creates conflicts of interest.

  11. Perancangan dan Implementasi Kontroler PID untuk Pengaturan Autonomous Car-Following Car

    Directory of Open Access Journals (Sweden)

    Andreas Parluhutan Bonor Sinaga

    2014-03-01

    Full Text Available Pengiriman logistik ke daerah-daerah rawan bencana merupakan hal yang sangat sulit dilakukan, tentunya diperlukan pengetahuan mengenai kondisi medan jalan. Salah satu dampak yang utama adalah sulitnya melakukan manuver dalam pengendalian performansi  truk logistik yang pada umumnya berupa truk-truk gandeng. Untuk membantu pengemudi truk dalam berkendara pada kondisi tersebut, dirancang sebuah prototype mobil mandiri (Autonomous Car yang mampu melakukan manuver-manuver pergerakan secara sendirinya, salah satu manuver tersebut ialah Following Car.  Dalam Tugas Akhir ini perancangan sistem yang akan dilakukan dengan  memodelkan  dua buah kendaraan mobil RC (remote control yang bertindak sebagai  follower dan leader car. Pengoperasian dari  following car dilakukan dengan memodifikasi dari kendaraan RC-1, sedangkan RC-2 bertindak sebagai leader car yang dikondisikan secara manual. Dengan penerapan kontroler PID pada implementasi sistem didapatkan penurunan time settling menjadi 2,7 Detik dan peningkatan error steady state sebesar 2,44%. Pada implementasi diberikan kecepatan leader secara acak, dengan implementasi kontroler PID, kondisi jarak antara autonomous car dengan leader car masih dalam range keadaan ideal pada set point.

  12. Automatic identification and real-time tracking based on multiple sensors for low-altitude moving targets%一种多传感器反直升机智能雷伺服跟踪系统

    Institute of Scientific and Technical Information of China (English)

    张作楠; 刘国栋; 王婷婷

    2011-01-01

    讨论一种基于多传感器的反直升机智能雷AHM(Anti-Helicopter Mine)系统.为了提高智能雷的全自动智能跟踪能力和打击精度,在传统的被动声探测技术的基础上,结合图像传感器的视觉信息和激光测距仪的深度信息,提出一种基于声-光-电多传感器联合的自动目标探测、识别、跟踪算法.首先将五元十字声源定位技术用于低空目标探测和初始定位,然后对目标进行图像处理与特征提取,最后基于图像特征的视觉伺服跟踪算法得出伺服机构的旋转角以实现精确跟踪.%Discussed a tracking system for anti-helicopter mine (AHM) tracking system based on multi-sensors, in order to increase the ability of automatic tracking and the higher firing accuracy. Based on the traditional passive acoustic localization technology, a multi-sensor integrated automatic detection and real-time tracking algorithm is proposed with a variety of sensors and electronic measuring devices, such as acoustic sensors, image sensors and laser range finder. Firstly the target is initially located by the positive acoustic localization technology, then attract the target image feature by image processing, According to based-on-image visual servoing algorithm, the desired target error signal for precise tracking is used to control the servo mechanism to track precisely.

  13. Automatic extraction of property norm-like data from large text corpora.

    Science.gov (United States)

    Kelly, Colin; Devereux, Barry; Korhonen, Anna

    2014-01-01

    Traditional methods for deriving property-based representations of concepts from text have focused on either extracting only a subset of possible relation types, such as hyponymy/hypernymy (e.g., car is-a vehicle) or meronymy/metonymy (e.g., car has wheels), or unspecified relations (e.g., car--petrol). We propose a system for the challenging task of automatic, large-scale acquisition of unconstrained, human-like property norms from large text corpora, and discuss the theoretical implications of such a system. We employ syntactic, semantic, and encyclopedic information to guide our extraction, yielding concept-relation-feature triples (e.g., car be fast, car require petrol, car cause pollution), which approximate property-based conceptual representations. Our novel method extracts candidate triples from parsed corpora (Wikipedia and the British National Corpus) using syntactically and grammatically motivated rules, then reweights triples with a linear combination of their frequency and four statistical metrics. We assess our system output in three ways: lexical comparison with norms derived from human-generated property norm data, direct evaluation by four human judges, and a semantic distance comparison with both WordNet similarity data and human-judged concept similarity ratings. Our system offers a viable and performant method of plausible triple extraction: Our lexical comparison shows comparable performance to the current state-of-the-art, while subsequent evaluations exhibit the human-like character of our generated properties.

  14. A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques

    Directory of Open Access Journals (Sweden)

    Vaishnavi Ravindran

    2016-11-01

    Full Text Available In this paper, a novel approach for automatic road accident detection is proposed. The approach is based on detecting damaged vehicles from footage received from surveillance cameras installed in roads and highways which would indicate the occurrence of a road accident. Detection of damaged cars falls under the category of object detection in the field of machine vision and has not been achieved so far. In this paper, a new supervised learning method comprising of three different stages which are combined into a single framework in a serial manner which successfully detects damaged cars from static images is proposed. The three stages use five support vector machines trained with Histogram of gradients (HOG and Gray level co-occurrence matrix (GLCM features. Since damaged car detection has not been attempted, two datasets of damaged cars - Damaged Cars Dataset-1 (DCD-1 and Damaged Cars Dataset-2 (DCD-2 – was compiled for public release. Experiments were conducted on DCD-1 and DCD-2 which differ based on the distance at which the image is captured and the quality of the images. The accuracy of the system is 81.83% for DCD-1 captured at approximately 2 meters with good quality and 64.37% for DCD-2 captured at approximately 20 meters with poor quality.

  15. Contact-based ligand-clustering approach for the identification of active compounds in virtual screening

    Directory of Open Access Journals (Sweden)

    Mantsyzov AB

    2012-09-01

    Full Text Available Alexey B Mantsyzov,1 Guillaume Bouvier,2 Nathalie Evrard-Todeschi,1 Gildas Bertho11Université Paris Descartes, Sorbonne, Paris, France; 2Institut Pasteur, Paris, FranceAbstract: Evaluation of docking results is one of the most important problems for virtual screening and in silico drug design. Modern approaches for the identification of active compounds in a large data set of docked molecules use energy scoring functions. One of the general and most significant limitations of these methods relates to inaccurate binding energy estimation, which results in false scoring of docked compounds. Automatic analysis of poses using self-organizing maps (AuPosSOM represents an alternative approach for the evaluation of docking results based on the clustering of compounds by the similarity of their contacts with the receptor. A scoring function was developed for the identification of the active compounds in the AuPosSOM clustered dataset. In addition, the AuPosSOM efficiency for the clustering of compounds and the identification of key contacts considered as important for its activity, were also improved. Benchmark tests for several targets revealed that together with the developed scoring function, AuPosSOM represents a good alternative to the energy-based scoring functions for the evaluation of docking results.Keywords: scoring, docking, virtual screening, CAR, AuPosSOM

  16. Automatic Configuration in NTP

    Institute of Scientific and Technical Information of China (English)

    Jiang Zongli(蒋宗礼); Xu Binbin

    2003-01-01

    NTP is nowadays the most widely used distributed network time protocol, which aims at synchronizing the clocks of computers in a network and keeping the accuracy and validation of the time information which is transmitted in the network. Without automatic configuration mechanism, the stability and flexibility of the synchronization network built upon NTP protocol are not satisfying. P2P's resource discovery mechanism is used to look for time sources in a synchronization network, and according to the network environment and node's quality, the synchronization network is constructed dynamically.

  17. [The maintenance of automatic analysers and associated documentation].

    Science.gov (United States)

    Adjidé, V; Fournier, P; Vassault, A

    2010-12-01

    The maintenance of automatic analysers and associated documentation taking part in the requirements of the ISO 15189 Standard and the French regulation as well have to be defined in the laboratory policy. The management of the periodic maintenance and documentation shall be implemented and fulfilled. The organisation of corrective maintenance has to be managed to avoid interruption of the task of the laboratory. The different recommendations concern the identification of materials including automatic analysers, the environmental conditions to take into account, the documentation provided by the manufacturer and documents prepared by the laboratory including procedures for maintenance.

  18. What Happens at a Car Wash?

    Science.gov (United States)

    Gallick, Barbara; Lee, Lisa

    2010-01-01

    A class of 3- to 5-year-old children in a child care center in the midwestern United States chose to study a car wash as a group project. This article discusses how the project evolved, describes the three phases of the project, and provides the teachers' reflections on the project. Photos taken during the project and children's sketches are…

  19. Picasso, Car Classics, and the Engineers.

    Science.gov (United States)

    Wosk, Julie H.

    1982-01-01

    Describes a college course which introduces engineering and business students to abstract art. Students study the relationships between abstract styles in painting and abstract styles in twentieth-century architecture and industrial design. The relevance of abstract design principles is shown by referring students to "Car and Driver" magazine. (AM)

  20. Business Class in a race car

    NARCIS (Netherlands)

    Wassink, J.

    2008-01-01

    It's not a car, it's not a bus, it's not a truck, and it's not even a super stretch limousine. What is being built in Delft is the much-discussed Superbus, which is to travel from door to door, reaching speeds of 250 kilometres per hour. This summer this new form of public transport is to enter serv

  1. Anastomose carótido-basilar

    Directory of Open Access Journals (Sweden)

    Ricardo Reixach-Granés

    1965-09-01

    Full Text Available O autor relata um caso de anastomose carótido-basilar por persistência da artéria trigeminal, demonstrado angiogràficamente. O paciente apresentou hemiplegia súbita e era portador de transtornos mentais de tipo deficitário. A pneumencefalografia evidenciou atrofia do parênquima cerebral do lado da anomalia.

  2. The second French car; Der zweite Franzose

    Energy Technology Data Exchange (ETDEWEB)

    Wiedemann, Karsten

    2012-02-15

    The Flence Z.E. is the second electric-powered car that French manufacturer Renault presented within a short period of time. The limousine has a roomy passenger compartment but little space for luggage. Refuelling is possible by battery exchange within just a few minutes, but not in Germany.

  3. CARs in the Lead Against Multiple Myeloma

    DEFF Research Database (Denmark)

    Ormhøj, Maria; Bedoya, Felipe; Frigault, Matthew J.

    2017-01-01

    to target myeloma antigens such as B cell maturation antigen (BCMA), CD138, and kappa-light chain as well as CD19 on putative myeloma stem cells. To date, only a limited number of multiple myeloma patients have received CAR T cell therapy but preliminary results have been encouraging. In this review, we...

  4. Design And Development of Aerosolar Car

    Directory of Open Access Journals (Sweden)

    Someswara Rao K

    2013-08-01

    Full Text Available This paper reports the design and development of aerosolar car. A aerosolar car is a vehicle, which is powered by wind and sun’s energy. This car is a light weight, low power vehicle designed. They have limited seating (two people, they have very little cargo capacity, and they can be driven during the days and Nights also by using dynamo motor attachment on the front of the vehicle. It does, however, offer an excellent opportunity to develop future technologies that can be applied to practical applications. The main components of an Aerosolar car are its solar arrays & alternators which collect the energy from the sun & wind respectively and convert it into electrical energy. The process of combining these mechanical and electrical components is not an easy task especially at the design stage because of the individual part specific characteristic and function. Since the development cost is one of the major constraints for this project, the sustainable design concept was implemented. Suitable parts which can be easily recycled and re-used, with desired functions that contribute to vehicle optimum performance are properly selected.

  5. Costimulation Engages the Gear in Driving CARs.

    Science.gov (United States)

    Abken, Hinrich

    2016-02-16

    In this issue of Immunity,Kawalekar et al. (2016) find that costimulation by a chimeric antigen receptor (CAR) can control T cell metabolism and balance the response toward long-lived memory or short-lived effector cells. The results provide a rationale of how to tune cancer immunotherapy more effectively in a hostile tumor environment.

  6. What Are Behind The Electric Car Heat?

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Is the world's auto industry going to change greatly in the future 3-5 years so that ICEs will fade out?Will this electric car heat repeat itselfjust like it did in the history? The Chinese government issued pro- grams in Jan 2009 to cheer up the auto industrv.The plans include enacting new energy vehicle strategy,industrializing

  7. Colleges Drive Research on Electric Cars

    Science.gov (United States)

    Basken, Paul

    2009-01-01

    As the General Motors Corporation shuts assembly plants and veers toward bankruptcy, the lonely remnants of one of its top technological achievements--the first modern mass-produced electric car--lie scattered across a few dozen American college campuses. GM produced and leased to customers more than 1,000 "EV1" automobiles beginning in 1996. In…

  8. The 2009 Simulated Car Racing Championship

    DEFF Research Database (Denmark)

    Loiacono, Daniele; Lanzi, Pier Luca; Togelius, Julian;

    2011-01-01

    In this paper, we overview the 2009 Simulated Car Racing Championship-an event comprising three competitions held in association with the 2009 IEEE Congress on Evolutionary Computation (CEC), the 2009 ACM Genetic and Evolutionary Computation Conference (GECCO), and the 2009 IEEE Symposium...

  9. Comparison of automatic control systems

    Science.gov (United States)

    Oppelt, W

    1941-01-01

    This report deals with a reciprocal comparison of an automatic pressure control, an automatic rpm control, an automatic temperature control, and an automatic directional control. It shows the difference between the "faultproof" regulator and the actual regulator which is subject to faults, and develops this difference as far as possible in a parallel manner with regard to the control systems under consideration. Such as analysis affords, particularly in its extension to the faults of the actual regulator, a deep insight into the mechanism of the regulator process.

  10. Children in Hot Cars Result in Fatal Consequences

    Science.gov (United States)

    ... this! Home » Health Tips » Holiday and Seasonal Children in Hot Cars Result in Fatal Consequences Emergency physicians are warning the public ... throbbing headache, dizziness, nausea, confusion and disorientation. READ IN SUMMER Children in Hot Cars Result in Fatal ...

  11. Opioids No Better Than Ibuprofen for Pain After Car Crash

    Science.gov (United States)

    ... Car Crash: Study But more patients prescribed powerful painkillers were still taking them 6 weeks later To ... persistent pain after a car crash, prescription opioid painkillers such as oxycodone (Oxycontin) are no more effective ...

  12. Application brushless machines with combine excitation for a hybrid car and an electric car

    OpenAIRE

    Gandzha S.A.; Kiessh I.E.

    2015-01-01

    This article shows advantages of application the brushless machines with combined excitation (excitation from permanent magnets and excitation winding) for the hybrid car and the electric car. This type of electric machine is compared with a typical brushless motor and an induction motor. The main advantage is the decrease of the dimensions of electric machine and the reduction of the price for an electronic control system. It is shown the design and the principle of operation of the electric...

  13. Study concerning the loads over driver's chests in car crashes with cars of the same or different generation

    Science.gov (United States)

    Ispas, N.; Năstăsoiu, M.

    2016-08-01

    Reducing occupant injuries for cars involves in traffic accidents is a main target of today cars designers. Known as active or passive safety, many technological solutions were developing over the time for an actual better car's occupant safety. In the real world, in traffic accidents are often involved cars from different generations with various safety historical solutions. The main aim of these papers are to quantify the influences over the car driver chest loads in cases of same or different generation of cars involved in side car crashes. Both same and different cars generations were used for the study. Other goal of the paper was the study of in time loads conformity for diver's chests from both cars involved in crash. The paper's experimental results were obtained by support of DSD, Dr. Steffan Datentechnik GmbH - Linz, Austria. The described tests were performed in full test facility of DSD Linz, in “Easter 2015 PC-Crash Seminar”. In all crashes we obtaining results from both dummy placed in impacted and hits car. The novelty of the paper are the comparisons of data set from each of driver (dummy) of two cars involved in each of six experimental crashes. Another novelty of this paper consists in possibilities to analyse the influences of structural historical cars solutions over deformation and loads in cases of traffic accidents involved. Paper's conclusions can be future used for car passive safety improvement.

  14. Less pollution - less raw materials - less noise: Automatic cylinder cut-off technology

    Energy Technology Data Exchange (ETDEWEB)

    1987-01-01

    VW's automatic cylinder cut-off technology displays its advantages especially in city traffic - as road tests have proved. Though no fuel saving was measured on motorways it came up to 16% when driving on country roads and 30% in inner city traffic. One intends to use cylinder cut-off first for diesel cars as the restart reliability of diesel engines is much higher than that of petrol engines. (HW)

  15. Towards an Automatic Parking System using Bio-Inspired 1-D Optical Flow Sensors

    OpenAIRE

    2015-01-01

    International audience; Although several (semi-) automatic parking systems have been presented throughout the years [1]–[12], car manufacturers are still looking for low-cost sensors providing redundant information about the obstacles around the vehicle, as well as efficient methods of processing this information, in the hope of achieving a very high level of robustness. We therefore investigated how Local Motion Sensors (LMSs) [13], [14], comprising only of a few pixels giving 1-D optical fl...

  16. Is this car looking at you? How anthropomorphism predicts fusiform face area activation when seeing cars.

    Science.gov (United States)

    Kühn, Simone; Brick, Timothy R; Müller, Barbara C N; Gallinat, Jürgen

    2014-01-01

    Anthropomorphism encompasses the attribution of human characteristics to non-living objects. In particular the human tendency to see faces in cars has long been noticed, yet its neural correlates are unknown. We set out to investigate whether the fusiform face area (FFA) is associated with seeing human features in car fronts, or whether, the higher-level theory of mind network (ToM), namely temporoparietal junction (TPJ) and medial prefrontal cortex (MPFC) show a link to anthropomorphism. Twenty participants underwent fMRI scanning during a passive car-front viewing task. We extracted brain activity from FFA, TPJ and MPFC. After the fMRI session participants were asked to spontaneously list adjectives that characterize each car front. Five raters judged the degree to which each adjective can be applied as a characteristic of human beings. By means of linear mixed models we found that the implicit tendency to anthropomorphize individual car fronts predicts FFA, but not TPJ or MPFC activity. The results point to an important role of FFA in the phenomenon of ascribing human attributes to non-living objects. Interestingly, brain regions that have been associated with thinking about beliefs and mental states of others (TPJ, MPFC) do not seem to be related to anthropomorphism of car fronts.

  17. APF-Based Car Following Behavior Considering Lateral Distance

    OpenAIRE

    Zhao-Sheng Yang; Yao Yu; De-Xin Yu; Hu-Xing Zhou; Xiang-Lun Mo

    2013-01-01

    Considering the influence of lateral distance on consecutive vehicles, this paper proposes a new car following model based on the artificial potential field theory (APF). Traditional car following behaviors all assume that the vehicles are driving along the middle of a lane. Different from the traditional car following principles, this incorporation of APF offers a potential breakthrough in the fields of car following theory. The individual vehicle can be represented as a unit point charge in...

  18. Stand-off detection of alcohol vapours in moving cars

    Science.gov (United States)

    Kopczyński, Krzysztof; Kubicki, Jan; Młyńczak, Jaroslaw; Mierczyk, Jadwiga; Hackiewicz, Klaudia

    2016-12-01

    In this article we present the research on optoelectronic system for stand-off detection of alcohol vapours in moving cars. The idea of using commercially available cascade lasers was presented. Special attention was paid to the optical characteristics of the car windowpanes. It was shown that using 3.45 μm and 3.59 μm wavelengths the alcohol vapours inside a car can be successfully detected even for cars with different windows

  19. 49 CFR 180.507 - Qualification of tank cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Qualification of tank cars. 180.507 Section 180... QUALIFICATION AND MAINTENANCE OF PACKAGINGS Qualification and Maintenance of Tank Cars § 180.507 Qualification... 1941 are not authorized. (2) For each tank car conforming to and used under an exemption issued...

  20. CarD: a new RNA polymerase modulator in mycobacteria.

    Science.gov (United States)

    Stallings, Christina L; Glickman, Michael S

    2011-01-01

    Mycobacteria CarD is an essential RNAP binding protein that regulates many transcripts including rRNA. This article will review our present state of knowledge regarding CarD and compare the known functions of CarD with other RNAP binding proteins in E. coli, emphasizing how this information can guide future investigations.

  1. 19 CFR 123.61 - Baggage arriving in baggage car.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Baggage arriving in baggage car. 123.61 Section... car. An inward foreign manifest on Customs Form 7533 shall be used for all baggage arriving in baggage cars....

  2. 49 CFR 231.22 - Operation of track motor cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Operation of track motor cars. 231.22 Section 231... motor cars. On and after August 1, 1963, it shall be unlawful for any railroad subject to the requirements of the Safety Appliance Acts to operate or permit to be operated on its line track motor cars...

  3. Statistical Properties of Car Following: Theory and Driving Simulator Experiments

    CERN Document Server

    Ando, Hiromasa; Zgonnikov, Arkady; Saito, Yoshiaki

    2015-01-01

    A fair simple car driving simulator was created based on the open source engine TORCS and used in car-following experiments aimed at studying the basic features of human behavior in car driving. Four subjects with different skill in driving real cars participated in these experiments. The subjects were instructed to drive a car without overtaking and losing sight of a lead car driven by computer at a fixed speed. Based on the collected data the distributions of the headway distance, the car velocity, acceleration, and jerk are constructed and compared with the available experimental data for the real traffic flow. A new model for the car-following is proposed to capture the found properties. As the main result, we draw a conclusion that human actions in car driving should be categorized as generalized intermittent control with noise-driven activation. Besides, we hypothesize that the car jerk together with the car acceleration are additional phase variables required for describing the dynamics of car motion g...

  4. IMPORTANT INFORMATION - Flagstaff Car-Park and Park-and-Ride (P+R)

    CERN Multimedia

    GS Department

    2011-01-01

    As part of the new arrangements following the arrival of the tram-line at CERN, an Automatic Number-Plate Recognition (ANPR) system has been installed restricting access to the Flagstaff Car-park and the Park-and-Ride (P+R) zone according to the conditions set out below: Holders of a valid P+R user card may enter the car-park at all hours but may only park in the area specifically designated as the P+R zone. P+R user cards can be purchased from the Fondation des Parkings de Genève (http://www.ge.ch/parkings/abonnements.html)   Members of CERN personnel and of contractors' personnel, whatever their status, may freely access the Flagstaff Car-Park at all hours, as long as their vehicle is duly registered with CERN, but they may not use the P+R zone, which is reserved for holders of P+R user cards. Please check that your vehicle number-plates are properly registered via AdaMS (http://cern.ch/adams). If this is not the case, the following action must be taken: - for private or co...

  5. Automatic Fixture Planning

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    Fixture planning is a crucial problem in the field of fixture design. In this paper, the research scope and research methods of the computer-aided fixture planning are presented. Based on positioning principles of typical workparts, an ANN algorithm, namely Hopfield algorithm, is adopted for the automatic fixture planning. Also, this paper leads a deep research into the selection of positioning and clamping surfaces (or points) on workparts using positioning-clamping-surface-selecting rules and matrix evaluation of deterministic workpart positioning. In the end of this paper, the methods to select positioning and clamping elements from database and the layout algorithm to assemble the selected fixture elements into a tangible fixture are developed.

  6. Report on electric cars and plug-in hybrid cars; Redegoerelse - elbiler og plug-in hybridbiler

    Energy Technology Data Exchange (ETDEWEB)

    Elkjaer Toennesen, A.; Winther, K.; Noerregaard, K. (Teknologisk Institut, Taastrup (Denmark)); Larsen, Esben; Christensen, Linda; Kveiborg, O. (Danmarks Teknologiske Univ., Kgs. Lyngby (DTU) (Denmark))

    2010-04-15

    The Center for Green Transport at the Danish Transport Authority has prepared this statement in order to uncover driving technical aspects, user expectations and needs, and the environmental consequences of using electric and plug-in hybrid cars. An electric car is defined as a car driven by an electric motor that has a battery that can be charged with power from the grid. A plug-in hybrid car is defined as a car that combines gasoline or diesel engine with an electric motor with a battery which can be recharged with power from the grid. From an overall consideration related to the transport sector electric cars and plug-in hybrid cars have the major advantage that negative impacts on environment and climate from traffic can be reduced while the high mobility is maintained. Through an increased use of electric cars and plug-in hybrid cars, the many advantages attached to the car as an individual transportation form is maintained, while CO{sub 2} emissions etc. are reduced. Electric cars and plug-in hybrid cars is one of the technologies that are considered to have particularly great prospects in the medium term when it comes to promoting new technologies in transport. Another advantage of using electric vehicles is the power supply factor. An increased use of electricity in transport will reduce the need for and dependence on fossil fuels in the sector. Both electric cars and plug-in hybrid cars are expected to be used for storage of wind power, a possibility which is hardly available today. The plug-in hybrid car could meet some of the challenges facing the pure electric car, because it also can use conventional fuel. The report presents analyses based on three focus areas: a) Users' needs, expectations and economics in relation to vehicles; b) The technology - and hence the manufacturers' opportunities and challenges; c) Connection to the power grid. (ln)

  7. Automatic identification of address description in unstructured Chinese natural lan-guage%非结构化中文自然语言地址描述的自动识别

    Institute of Scientific and Technical Information of China (English)

    赵卫锋; 张勤

    2016-01-01

    The texts of address description in natural language, which are massive and available on the Internet, imply a wealth of spatial information. Considering its unstructured characteristics, a two-step approach is proposed in this paper to automatically extract the information of words and syntaxes from the corpus of address description in Chinese natural lan-guage, for further discovery of associated spatial knowledge. In the first step, an gazetteer-independent word segmentation algorithm for Chinese is designed, according to statistical regularities of the co-occurrence of character strings in the address corpus. In this algorithm, a predefined list comprised of common words used for indicating or restricting others in address statements, could be introduced to improve segmentation effect and facilitate part-of-speech tagging. In the second step, a finite state machine model is built to represent common syntaxes of Chinese address description, and then applied to automatically match and recognize the syntactic structures of segmented and tagged address statements. On the basis of the abundant address corpus collected from Internet, the experiments for statistical segmentation and syntactic recognition demonstrate the effectiveness and availability of this approach.%互联网中存在海量易获取的自然语言形式地址描述文本,其中蕴含丰富的空间信息。针对其非结构化特点,提出了自动提取中文自然语言地址描述中词语和句法信息的方法,以便深度挖掘空间知识。首先,根据地址语料中字串共现的统计规律设计一种不依赖地名词典的中文分词算法,并利用在地址文本中起指示、限定作用的常见词语组成的预定义词表改善分词效果及辅助词性标注。分词完成后,定义能够表达中文地址描述常用句法的有限状态机模型,进而利用其自动匹配与识别地址文本的句法结构。最后,基于大规模真实语料的统计

  8. Neuro-fuzzy system modeling based on automatic fuzzy clustering

    Institute of Scientific and Technical Information of China (English)

    Yuangang TANG; Fuchun SUN; Zengqi SUN

    2005-01-01

    A neuro-fuzzy system model based on automatic fuzzy clustering is proposed.A hybrid model identification algorithm is also developed to decide the model structure and model parameters.The algorithm mainly includes three parts:1) Automatic fuzzy C-means (AFCM),which is applied to generate fuzzy rules automatically,and then fix on the size of the neuro-fuzzy network,by which the complexity of system design is reducesd greatly at the price of the fitting capability;2) Recursive least square estimation (RLSE).It is used to update the parameters of Takagi-Sugeno model,which is employed to describe the behavior of the system;3) Gradient descent algorithm is also proposed for the fuzzy values according to the back propagation algorithm of neural network.Finally,modeling the dynamical equation of the two-link manipulator with the proposed approach is illustrated to validate the feasibility of the method.

  9. Automatic acquisition of motion trajectories: tracking hockey players

    Science.gov (United States)

    Okuma, Kenji; Little, James J.; Lowe, David

    2003-12-01

    Computer systems that have the capability of analyzing complex and dynamic scenes play an essential role in video annotation. Scenes can be complex in such a way that there are many cluttered objects with different colors, shapes and sizes, and can be dynamic with multiple interacting moving objects and a constantly changing background. In reality, there are many scenes that are complex, dynamic, and challenging enough for computers to describe. These scenes include games of sports, air traffic, car traffic, street intersections, and cloud transformations. Our research is about the challenge of inventing a descriptive computer system that analyzes scenes of hockey games where multiple moving players interact with each other on a constantly moving background due to camera motions. Ultimately, such a computer system should be able to acquire reliable data by extracting the players" motion as their trajectories, querying them by analyzing the descriptive information of data, and predict the motions of some hockey players based on the result of the query. Among these three major aspects of the system, we primarily focus on visual information of the scenes, that is, how to automatically acquire motion trajectories of hockey players from video. More accurately, we automatically analyze the hockey scenes by estimating parameters (i.e., pan, tilt, and zoom) of the broadcast cameras, tracking hockey players in those scenes, and constructing a visual description of the data by displaying trajectories of those players. Many technical problems in vision such as fast and unpredictable players' motions and rapid camera motions make our challenge worth tackling. To the best of our knowledge, there have not been any automatic video annotation systems for hockey developed in the past. Although there are many obstacles to overcome, our efforts and accomplishments would hopefully establish the infrastructure of the automatic hockey annotation system and become a milestone for

  10. Notice of car park and road closures

    CERN Multimedia

    2006-01-01

    The transfer of the two HF CMS detectors between Hall 186 and Point 5 (a convoy measuring 64 metres in length and weighing 440 tonnes) will result in the temporary closure of the following car parks: Building186: south entrance Building 613 Building 28 Building181 south entrance Building 600 Building 31 Route OPPENHEIMER The car parks concerned will be closed from Sunday 2 July until the evening of Tuesday 4 July and from Sunday 9 July until the evening of Tuesday 11 July 2006. Route FEYNMAN is also expected to be closed to traffic from mid-morning on Monday 3 July until the evening of Tuesday 4 July and from mid-morning on Monday 10 July until the evening of Tuesday 11 July (possible deviation via route FERMI and route RUTHERFORD). Thank you for your cooperation. TS-IC Group Tel. 163380 - 164043

  11. Notice of car park and road closures

    CERN Multimedia

    2006-01-01

    The transfer of the two HF CMS detectors between Hall 186 and Point 5 (a convoy measuring 64 metres in length and weighing 440 tonnes) will result in the temporary closure of the following car parks: Building186: south entrance Building 613 Building 28 Building181 south entrance Building 600 Building 31 Route OPPENHEIMER The car parks concerned will be closed from Sunday 2 July until the evening of Tuesday 4 July and from Sunday 9 July until the evening of Tuesday 11 July 2006.Route FEYNMAN is also expected to be closed to traffic from mid-morning on Monday 3 July until the evening of Tuesday 4 July and from mid-morning on Monday 10 July until the evening of Tuesday 11 July (possible deviation via route FERMI and route RUTHERFORD).Thank you for your cooperation. TS-IC GroupTel. 163380 - 164043

  12. MicroCar 2003. Abstracts of papers

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2003-07-01

    Mechatronics for automotive applications is an important trend, combining mechanics, electronics and information technology. Micro- and nanomechatronics, particularly innovative research disciplines, will help create, in combination with advanced solutions from microsystem technologies, e.g. the electronic packaging, a range of entirely new developments in automobiles. Under the umbrella of the Automotive Suppliers Fair Z2003, it is happening for the very first time now that a momentous scientific conference, such as the MicroCar 2003, brings together representatives from car manufacturers and the electronics industry, as well as a large number of experts from technical colleges, universities and research institutes to discuss the new potentials and possibilities presented by the use of micro and nanomaterials in Leipzig. With the presentation of 50 papers, speakers will inform about their latest research results as well as current trends in micro and nanotechnologies for automotives. This issue is publishing the abstracts of this scientific event.

  13. I Go to School by Car

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    <正>Story: The class is talking about how they go to school every day. Kathy says, "I go to school by car." Leo says, "I go to school on foot." Phoebe answers, "I go to school by subway with my dad." And the class asks Miss Grant, "How do you go to school?" Miss Grant answers, "I go to school by motorcycle." The class says, "Wow, so cool!"

  14. Energy Chain Analysis of Passenger Car Transport

    Directory of Open Access Journals (Sweden)

    Hans Jakob Walnum

    2011-02-01

    Full Text Available Transport makes up 20 percent of the World’s energy use; in OECD countries this has exceeded 30 percent. The International Energy Agency (IEA estimates that the global energy consumption will increase by 2.1 percent annually, a growth rate that is higher than for any other sector. The high energy consumption means that transportation accounts for nearly 30 percent of CO2 emission in OECD countries and is also one of the main sources of regional and local air pollution. In this article, we analyze energy consumption and greenhouse gas emissions from passenger car transport using an energy chain analysis. The energy chain analysis consists of three parts: the net direct energy use, the energy required for vehicle propulsion; the gross direct chain, which includes the net direct energy consumption plus the energy required to produce it; and, finally, the indirect energy chain, which includes the energy consumption for production, maintenance and operation of infrastructure plus manufacturing of the vehicle itself. In addition to energy consumption, we also analyze emissions of greenhouse gases measured by CO2-equivalents. We look at the trade-offs between energy use and greenhouse gas emissions to see whether some drivetrains and fuels perform favourable on both indicators. Except for the case of electric cars, where hydropower is the only energy source in the Norwegian context, no single car scores favourably on both energy consumption and greenhouse gas emissions.

  15. Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms

    OpenAIRE

    Turroni, Francesco

    2012-01-01

    The identification of people by measuring some traits of individual anatomy or physiology has led to a specific research area called biometric recognition. This thesis is focused on improving fingerprint recognition systems considering three important problems: fingerprint enhancement, fingerprint orientation extraction and automatic evaluation of fingerprint algorithms. An effective extraction of salient fingerprint features depends on the quality of the input fingerprint. If the fingerp...

  16. Establishing guidelines for CAR-T cells: challenges and considerations.

    Science.gov (United States)

    Wang, Wei; Qin, Di-Yuan; Zhang, Bing-Lan; Wei, Wei; Wang, Yong-Sheng; Wei, Yu-Quan

    2016-04-01

    T cells, genetically modified by chimeric antigen receptors (CAR-T), are endowed with specificity to a desired antigen and are cytotoxic to cells expressing the targeted antigen. CAR-T-based cancer immunotherapy is a promising therapy for curing hematological malignancy, such as acute lymphoid leukemia, and is promising for extending their efficacy to defeat solid tumors. To date, dozens of different CAR-T cells have been evaluated in clinical trials to treat tumors; this necessitates the establishment of guidelines for the production and application of CAR-T cells. However, it is challenging to standardize CAR-T cancer therapy because it involves a combination of gene therapy and cell therapy. In this review, we compare the existing guidelines for CAR-T cells and discuss the challenges and considerations for establishing guidance for CAR-T-based cancer immunotherapy.

  17. Decentralized Traffic Management Strategies for Sensor-Enabled Cars

    CERN Document Server

    Wang, Ziyuan; Ramamohanarao, Kotagiri

    2009-01-01

    Traffic Congestions and accidents are major concerns in today's transportation systems. This thesis investigates how to optimize traffic flow on highways, in particular for merging situations such as intersections where a ramp leads onto the highway. In our work, cars are equipped with sensors that can detect distance to neighboring cars, and communicate their velocity and acceleration readings with one another. Sensor-enabled cars can locally exchange sensed information about the traffic and adapt their behavior much earlier than regular cars. We propose proactive algorithms for merging different streams of sensor-enabled cars into a single stream. A proactive merging algorithm decouples the decision point from the actual merging point. Sensor-enabled cars allow us to decide where and when a car merges before it arrives at the actual merging point. This leads to a significant improvement in traffic flow as velocities can be adjusted appropriately. We compare proactive merging algorithms against the conventio...

  18. Context-aware smart car: from model to prototype

    Institute of Scientific and Technical Information of China (English)

    Jie SUN; Zhao-hui WU; Gang PAN

    2009-01-01

    Smart cars are promising application domain for ubiquitous computing. Context-awareness is the key feature of a smart car for safer and easier driving. Despite many industrial innovations and academic progresses have been made, we find a lack of fully context-aware smart cars. This study presents a general architecture of smart cars from the viewpoint of contextawareness. A hierarchical context model is proposed for description of the complex driving environment. A smart car prototype including software platform and hardware infrastructures is built to provide the running environment for the context model and applications. Two performance metrics were evaluated: accuracy of the context situation recognition and efficiency of the smart car. The whole response time of context situation recognition is nearly 1.4 s for one person, which is acceptable for non-time critical applications in a smart car.

  19. Isolation of Bacteria and Yeasts from Daqu Samples and its Identification by Biolog Automatic Analyzer for Microbes%大曲中细菌和酵母菌的分离及其Biolog微生物系统分析鉴定

    Institute of Scientific and Technical Information of China (English)

    聂凌鸿; 樊璐; 季方

    2012-01-01

    [Objective] The study aimed to discuss the application of Biolog Automatic Analyzer for Microbes in the identification of the bacteria and yeast in Daqu. [ Method] By the dilution-plate method,the bacteria and yeast in the Daqu samples brewed by the sing kinds of the food were made for the isolated culture resp. By using the nutrition agar medium and malt juice medium. The isolated and purified bacteria and yeast were I-dentified by the Biolog Automatic Analyzer for Microbes after the microscopic observation on the colony. [Result] 7 purified bacteria strains and 4 purified yeast strains were isolated from Daqu single colony samples. Through the identification by Biolog Automatic Analyzer for Microbes,5 strains in seven bacteria strains were confirmed as Bacillus pumilu(M1 strain), Bacillus qingdaonensu ( M2 strain), Bacillus megaterium(M3 strain),Bacillus amyloliquefaciens(M4 strain),Bacillus megaterium(M5 strain); 2 strains in 4 yeast strains were confirmed as Zygosaccharomyces cidri(N1 strain) ,Saccharomyces boulardii(N2 strain). [Conclusion] The study laid the foundation for the analysis of the microbes in Daqu.%[目的]初步探讨Biolog微生物自动分析系统在大曲细菌、酵母菌鉴定中的应用.[方法]利用稀释平板法,采用营养琼脂培养基和麦芽汁培养基,分别对单粮型大曲样品中的细菌和酵母菌进行分离培养.对分离纯化的细菌和酵母菌,经菌落观察和镜检后,利用Biolog微生物自动分析系统对其进行鉴定.[结果]从大曲单个菌落样品中分别分离出7株纯化的细菌菌株和4株纯化的酵母菌株,经Biolog微生物自动分析系统,确定其中5株细菌分别为:M1为短小芽孢杆菌(Bacillus pumilus)、M2为青岛芽孢杆菌(Bacillus qingdaonensis)、M3为巨大芽孢杆菌(Bacillus megaterium)、M4为解淀粉芽孢杆菌(Bacillus amyloliquefaciens)、M5为巨大芽孢杆菌(Bacillus megaterium);确定其中2株酵母菌分别为:N1

  20. Automatic aircraft recognition

    Science.gov (United States)

    Hmam, Hatem; Kim, Jijoong

    2002-08-01

    Automatic aircraft recognition is very complex because of clutter, shadows, clouds, self-occlusion and degraded imaging conditions. This paper presents an aircraft recognition system, which assumes from the start that the image is possibly degraded, and implements a number of strategies to overcome edge fragmentation and distortion. The current vision system employs a bottom up approach, where recognition begins by locating image primitives (e.g., lines and corners), which are then combined in an incremental fashion into larger sets of line groupings using knowledge about aircraft, as viewed from a generic viewpoint. Knowledge about aircraft is represented in the form of whole/part shape description and the connectedness property, and is embedded in production rules, which primarily aim at finding instances of the aircraft parts in the image and checking the connectedness property between the parts. Once a match is found, a confidence score is assigned and as evidence in support of an aircraft interpretation is accumulated, the score is increased proportionally. Finally a selection of the resulting image interpretations with the highest scores, is subjected to competition tests, and only non-ambiguous interpretations are allowed to survive. Experimental results demonstrating the effectiveness of the current recognition system are given.

  1. Car speed estimation based on cross-ratio using video data of car-mounted camera (black box).

    Science.gov (United States)

    Han, Inhwan

    2016-12-01

    This paper proposes several methods for using footages of car-mounted camera (car black box) to estimate the speed of the car with the camera, or the speed of other cars. This enables estimating car velocities directly from recorded footages without the need of specific physical locations of cars shown in the recorded material. To achieve this, this study collected 96 cases of black box footages and classified them for analysis based on various factors such as travel circumstances and directions. With these data, several case studies relating to speed estimation of camera-mounted car and other cars in recorded footage while the camera-mounted car is stationary, or moving, have been conducted. Additionally, a rough method for estimating the speed of other cars moving through a curvilinear path and its analysis results are described, for practical uses. Speed estimations made using cross-ratio were compared with the results of the traditional footage-analysis method and GPS calculation results for camera-mounted cars, proving its applicability.

  2. Electronic amplifiers for automatic compensators

    CERN Document Server

    Polonnikov, D Ye

    1965-01-01

    Electronic Amplifiers for Automatic Compensators presents the design and operation of electronic amplifiers for use in automatic control and measuring systems. This book is composed of eight chapters that consider the problems of constructing input and output circuits of amplifiers, suppression of interference and ensuring high sensitivity.This work begins with a survey of the operating principles of electronic amplifiers in automatic compensator systems. The succeeding chapters deal with circuit selection and the calculation and determination of the principal characteristics of amplifiers, as

  3. The Automatic Telescope Network (ATN)

    CERN Document Server

    Mattox, J R

    1999-01-01

    Because of the scheduled GLAST mission by NASA, there is strong scientific justification for preparation for very extensive blazar monitoring in the optical bands to exploit the opportunity to learn about blazars through the correlation of variability of the gamma-ray flux with flux at lower frequencies. Current optical facilities do not provide the required capability.Developments in technology have enabled astronomers to readily deploy automatic telescopes. The effort to create an Automatic Telescope Network (ATN) for blazar monitoring in the GLAST era is described. Other scientific applications of the networks of automatic telescopes are discussed. The potential of the ATN for science education is also discussed.

  4. Transmission Control of Transport and Technological Cars in Acceleration Mode

    Directory of Open Access Journals (Sweden)

    B. I. Plujnikov

    2015-01-01

    Full Text Available In most structures a transmission of the transport-technological machine (TTM is controlled by automatic systems. In their creating it is necessary to specify the appropriate parameters and algorithms. In the total balance of the machine run time the acceleration mode is the most important. Therefore, an algorithm of the transmission gear ratio change during acceleration largely provides desirable rating of machines.It is known that the process of acceleration is estimated by its dynamic quality and fuel economy. To reach the best rating of both simultaneously is impossible. Therefore, as the criteria of estimate, were chosen the time and fuel consumption during acceleration to a fixed speed value.From a mathematical point of view, these criteria represent the sum of integrals, each of which defines the time or the fuel consumption during acceleration with a certain transmission gear ratio. The problem is formulated as follows: to determine the speed values of the TTM at the moments when the transmission gear ratio is changed providing the minimum values during fixed fuel supply for the estimate criteria. The latter condition in a certain way limits the task, but in explicit form there is no this control action in the dependence data.Given the variety of possible design options for the TTM, the solution is given by a specific example that simplifies the mathematics and makes it easier to understand the results obtained. As a TTM, is considered a passenger car with petrol engine and automatic transmission, which includes a hydrodynamic transformer and three-speed gearbox.A chosen way of solving the problem involves using the theory of ordinary maxima and minima, which allows finding the unknown values of independent variables. The expressions of sub-integral functions are in explicit form obtained and studied for meeting the necessary and sufficient conditions for existence of the extreme point. The result was a proof that in the case of

  5. Bioinformatic analysis of microRNA networks following the activation of the constitutive androstane receptor (CAR) in mouse liver.

    Science.gov (United States)

    Hao, Ruixin; Su, Shengzhong; Wan, Yinan; Shen, Frank; Niu, Ben; Coslo, Denise M; Albert, Istvan; Han, Xing; Omiecinski, Curtis J

    2016-09-01

    The constitutive androstane receptor (CAR; NR1I3) is a member of the nuclear receptor superfamily that functions as a xenosensor, serving to regulate xenobiotic detoxification, lipid homeostasis and energy metabolism. CAR activation is also a key contributor to the development of chemical hepatocarcinogenesis in mice. The underlying pathways affected by CAR in these processes are complex and not fully elucidated. MicroRNAs (miRNAs) have emerged as critical modulators of gene expression and appear to impact many cellular pathways, including those involved in chemical detoxification and liver tumor development. In this study, we used deep sequencing approaches with an Illumina HiSeq platform to differentially profile microRNA expression patterns in livers from wild type C57BL/6J mice following CAR activation with the mouse CAR-specific ligand activator, 1,4-bis-[2-(3,5,-dichloropyridyloxy)] benzene (TCPOBOP). Bioinformatic analyses and pathway evaluations were performed leading to the identification of 51 miRNAs whose expression levels were significantly altered by TCPOBOP treatment, including mmu-miR-802-5p and miR-485-3p. Ingenuity Pathway Analysis of the differentially expressed microRNAs revealed altered effector pathways, including those involved in liver cell growth and proliferation. A functional network among CAR targeted genes and the affected microRNAs was constructed to illustrate how CAR modulation of microRNA expression may potentially mediate its biological role in mouse hepatocyte proliferation. This article is part of a Special Issue entitled: Xenobiotic nuclear receptors: New Tricks for An Old Dog, edited by Dr. Wen Xie.

  6. Shift schedule of dual clutch automatic transmission based on driver type identification%基于驾驶员类型识别的双离合自动变速器换挡规律研究

    Institute of Scientific and Technical Information of China (English)

    刘玺; 何仁; 程秀生

    2015-01-01

    为了使车辆驾驶性能满足驾驶员需求,提出了基于数据融合决策的驾驶员类型识别方法并建立了基于驾驶员类型的换挡规律.首先基于驾驶员的驾驶行为和驾驶意图,对驾驶员类型进行分析,制定了基于驾驶风格的驾驶员类型识别方案.选定能表征驾驶员驾驶风格的有效工况及相应的表征信号后,先采用BP神经网络分类器对驾驶风格进行辨识,再采用贝叶斯融合决策方法先后对同类操纵的驾驶风格辨识结果和所有操纵类型驾驶风格辨识结果进行数据融合决策,最终辨识出驾驶员类型.根据驾驶员类型,引入动力性系数,通过不同类型驾驶员对应的动力性系数值的改变,实现换挡规律中动力性因素和经济性因素所占比例的调整,最终形成基于驾驶员类型的 DCT 换挡规律.最后,以搭载 6DCT的某试验车为对象,对不同驾驶员的换挡过程进行仿真实验,结果表明基于驾驶员类型的DCT换挡规律能够适应不同类型的驾驶员需求.该研究为驾驶员类型识别和智能型换挡规律的制定提供了参考.%Shift schedule is one of the major factors for drivability. When using traditional method to establish shift schedule, it considers power performance and fuel economy, but neglects driver characteristics. Speed and throttle in traditional two-parameter shift schedule may reflect vehicle performance for driver to some extent, but driving characteristics of different drivers can't be considered. In this paper, a shift schedule method based on driver type was proposed for making vehicle maneuverability meet drivers' characteristics. In order to obtain the drive type, driving behavior and intention were analyzed according to drivers' operations in driving process, different driver characteristics were obtained, and then drivers could be classified into conservative and sport type. So identification scheme of driver type was proposed. Driver

  7. 基于FPGA的智能小车设计%Design of Intelligent Car Based on FPGA

    Institute of Scientific and Technical Information of China (English)

    高峻; 高向海; 张力行; 王玉花

    2011-01-01

    介绍基于FPGA的智能小车设计,小车包括在FPGA上构建以NiosⅡ嵌入式系统为核心的控制电路、传感器电路、动力及转向电路、LCM电路、温度和湿度测量电路、无线数据收发电路.在Nios Ⅱ集成开发环境(IDE)编写C语言程序,实现能远程遥控小车、自动避障、温度和湿度监测并无线传输至控制端的功能,其特点是能够无线控制小车和远程采集环境信息.%A way to devise an intelligent car based on FPGA is introduced.Nios Ⅱ embedded system taken as central control circuit, sencor circuit, LCM display circuit, temperature and humidity measuring circuit, and wireless data transceiving circuit is built with FPGA in the intteligent car.The C language program is written in Nios Ⅱ integrated development environment (IDE) to realize the car's functions of remote control, automatic avoidance of roadblocks, humidity/temperature monitoring, and data wireless transmission to the controller.Moreover, the highlight of this design is that the car can acquire environmental information remotely and transmit it to the controller wirelessly.

  8. Utilization of RFID data to evaluate characteristics of private car commuters in Middle East Technical University campus

    Directory of Open Access Journals (Sweden)

    Oruç ALTINTAŞI

    2016-06-01

    Full Text Available Analyzing travel behavior of Middle East Technical University (METU campus users via traditional survey approach requires great effort. However, using Radio Frequency IDentification (RFID system installed at all the campus entry gates provided a cheaper and an effective approach to determine basic characteristics of the campus private car commuters. The RFID data combined with traveler details enabled the study of the arrival and departure car-based commute behavior of academic personnel, administrative personnel and students, separately. The results revealed that campus car-based travel demand is mainly active between 07: 00 to 22: 00. While the majority of the private car commuters arrive during 08: 00-09: 00, the evening peak is distributed over a much longer period from 15: 00 to 19: 00. Administrative personnel have sharper evening departures between 17: 00-18: 00, while academic ones show a more scattered pattern lasting longer. Car-traveler students mostly arrive later during 09: 00-10: 00 and start leaving the campus as early as 15: 00 lasting until late evenings. Stay time of vehicles on campus revealed that 43% of all trips to campus lasted less than 15 minutes, especially during morning and evening peaks, suggesting that a high number of RFID card holders pass through the campus, possibly for pick-ups or drop-offs. A small reverse commute pattern occurred due to the trips generated by family members of those living in on-campus housing units.

  9. ADULTEROUS BEHAVIOUR WITHIN THE CAR-OWNER COUPLE

    Directory of Open Access Journals (Sweden)

    Francis PAPON

    2008-01-01

    Full Text Available The objective of this paper was to analyse two activities: who rents a car and why? Which households share the driving of their cars? In order to do that, the Parc-Auto (Car-Fleet database, built from annual postal surveys conducted with a panel of 10,000 French households, has been processed. Among approximately one hundred questions in the survey, two key questions have been crossed against many social, economic, demographic, geographic or time variables. KQ1: “During the last 12 months, did you — or another person from your home — rent a car in France for personal purposes?” KQ2: “Is this car occasionally used by other persons?” Here are the main findings. Renting households are mainly working, high income households, living in the core of big cities, and in particular in Paris. Most of them have two wage-sheets and two cars, one of which is generally a recent, high power, high quality car. Car rental is mainly an occasional practice. Yet for a minority of renters, it is a sustained habit. Households with more licence holders than cars share the most: about three quarters of them share their cars. On the contrary, single driver-single car households have less opportunity to share: only 15% share. Household car sharing shed light on the gender role within households: while 58% of the main users of the shared cars are male, 55% of secondary users are female. Household car sharing is mainly a regular practice. Finally, without diminishing the merits of innovative transport solutions proposed here and there, it is not a waste of time to give some insight on self established behaviour within households. This reveals that complex patterns have been built over time by the people themselves, to cope with diverse situations that cannot be easily handled by straightforward classifications. The car cannot be reduced to a personal object. Household car sharing also carries strong links with the issue of car dependency. Sifting car

  10. Application brushless machines with combine excitation for a hybrid car and an electric car

    Directory of Open Access Journals (Sweden)

    Gandzha S.A.

    2015-08-01

    Full Text Available This article shows advantages of application the brushless machines with combined excitation (excitation from permanent magnets and excitation winding for the hybrid car and the electric car. This type of electric machine is compared with a typical brushless motor and an induction motor. The main advantage is the decrease of the dimensions of electric machine and the reduction of the price for an electronic control system. It is shown the design and the principle of operation of the electric machine. The machine was modeled using Solidworks program for creating design and Maxwell program for the magnetic field analysis. The result of tests is shown as well.

  11. 10 Years of Car-2-X Communication - a Success Story?

    Science.gov (United States)

    Wischhof, Lars; Ebner, André

    2012-05-01

    For more than ten years, car-2-x communication has been a major topic of research in the scientific community and an important development focus for the automotive industry. First, this article takes a retrospective look at the evolution of car-2-x and the two different communication paradigms: decentralized car-2-car communication and centralized cellular solutions. Afterwards, a comparison of their technical advantages and limitations is presented, respectively. The result shows that in order to implement safety-relevant applications, car-2-car communication has strong advantages compared to cellular technologies but requires high market penetration. However, its introduction solely for safety applications is difficult since the required penetration will not be achieved until several years after initial deployment. Therefore, car-2-car communication must provide a benefit to the customer, even in the phase of market introduction. For this purpose, the article outlines an approach called SODAD (Segment-Oriented Data Abstraction and Dissemination). It offers a possibility to introduce decentralized vehicular applications with early customer benefit, in order to enable safety applications based on car-2-car communication on a long term.

  12. Identification of Energy Distribution for Crash Deformational Processes of Road Vehicles

    Directory of Open Access Journals (Sweden)

    István Harmati

    2007-08-01

    Full Text Available Car body deformation modelling plays a very important role in crash accidentanalyses, as well as in safe car body design. The determination of the energy absorbed bythe deformation and the corresponding Energy Equivalent Speed can be of key importance;however their precise determination is a very difficult task. Although, using the results ofcrash tests, intelligent and soft methods offer an automatic way to model the crash processitself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. Inthis paper a model is introduced which is able to describe the changing of the energydistribution during the whole deformational process and to analyze the strength of thedifferent parts without any human intervention thus significantly can contribute to theimprovement of the modelling, (automatic design, and safety of car bodies.

  13. MicroflexTM MALDI-TOF MS 和 Vitek 2 Compact 全自动微生物分析系统对肠杆菌科细菌鉴定能力的比较%Comparison on the identification abilities of MicroflexTM MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system for Enterobacteriaceae

    Institute of Scientific and Technical Information of China (English)

    刘瑛; 俞静; 陈峰; 刘婧娴; 李媛睿; 皇甫昱婵; 沈立松

    2015-01-01

    目的:比较MicroflexTM基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)和Vitek 2 Compact全自动微生物分析系统(简称 Vitek 2 Compact)对肠杆菌科细菌的鉴定能力。方法采用 MicroflexTM MALDI-TOF MS 和 Vitek 2 Compact 同时对545株肠杆菌科质控菌株和临床分离菌株进行鉴定,鉴定结果不一致者采用沙门菌血清凝集试验或细菌16S rDNA 基因测序予以确证。结果MicroflexTM MALDI-TOF MS 对545株细菌的种和属的鉴定率分别为97.1%、2.9%。Vitek 2 Compact 对545株细菌的种、群、属的鉴定率分别为83.3%、13.9%和2.2%,鉴定错误率为0.2%,未鉴定率为0.4%。结论MicroflexTM MALDI-TOF MS 对肠杆菌科细菌的鉴定符合率高于 Vitek 2 Compact,且操作快速、简便,成本低,可用于临床肠杆菌科细菌的常规快速鉴定。%Objective To compare the identification abilities of MicroflexTM matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS)and Vitek 2 Compact automatic microbial analysis system (Vitek 2 Compact)for Enterobacteriaceae.Methods A total of 545 isolates of Enterobacteriaceae from a variety of clinical and quality control isolates were identified by MicroflexTM MALDI-TOF MS and Vitek 2 Compact.The isolates were confirmed by 1 6S rDNA gene sequencing,and Salmonella was identified by serum agglutination test,if the identification results of the 2 systems didn′t match.Results The coincidence rates of 545 isolates of Enterobacteriaceae identified by MicroflexTM MALDI-TOF MS were 97.1 % to the species level and 2.9% to the genus level,respectively. The coincidence rates of 545 isolates of Enterobacteriaceae identified by Vitek 2 Compact were 83.3%,1 3.9% and 2.2% to the species,group and genus levels,respectively.The false rate was 0.2%,and the un-identification rate was 0.4%.Conclusions The identification coincidence rate of Enterobacteriaceae by Microflex

  14. Clothes Dryer Automatic Termination Evaluation

    Energy Technology Data Exchange (ETDEWEB)

    TeGrotenhuis, Ward E.

    2014-10-01

    Volume 2: Improved Sensor and Control Designs Many residential clothes dryers on the market today provide automatic cycles that are intended to stop when the clothes are dry, as determined by the final remaining moisture content (RMC). However, testing of automatic termination cycles has shown that many dryers are susceptible to over-drying of loads, leading to excess energy consumption. In particular, tests performed using the DOE Test Procedure in Appendix D2 of 10 CFR 430 subpart B have shown that as much as 62% of the energy used in a cycle may be from over-drying. Volume 1 of this report shows an average of 20% excess energy from over-drying when running automatic cycles with various load compositions and dryer settings. Consequently, improving automatic termination sensors and algorithms has the potential for substantial energy savings in the U.S.

  15. Light-induced carotenogenesis in Myxococcus xanthus: functional characterization of the ECF sigma factor CarQ and antisigma factor CarR.

    Science.gov (United States)

    Browning, Douglas F; Whitworth, David E; Hodgson, David A

    2003-04-01

    Illumination of dark-grown Myxococcus xanthus with blue light leads to the induction of carotenoid synthesis. Central to this response is the activation of the light-inducible promoter, PcarQRS, and the transcription of three downstream genes, carQ, carR and carS. Sequence analysis predicted that CarQ is a member of the ECF (extracytoplasmic function) subfamily of RNA polymerase sigma factors, and that CarR is an inner membrane protein. Genetic analysis strongly implied that CarR is an antisigma factor that sequesters CarQ in a transcriptionally inactive complex. Using in vitro transcription run-off assays, we present biochemical evidence that CarQ functions as a bacterial sigma factor and is responsible for transcription initiation at PcarQRS. Similar experiments using the crtI promoter failed to implicate CarQ in direct transcription of the crtI gene. Experiments using the yeast two-hybrid system demonstrated a protein-protein interaction between CarQ and CarR, providing evidence of a CarQ-CarR complex. The yeast two-hybrid system data also indicated that CarR is capable of oligomerization. Fractionation of M. xanthus membranes with the detergent sarkosyl showed that CarR was associated with the inner membrane. Furthermore, CarR was found to be unstable in illuminated stationary phase cells, providing a possible mechanism by which the CarR-CarQ complex is disrupted.

  16. Automatic Coarse Graining of Polymers

    OpenAIRE

    Faller, Roland

    2003-01-01

    Several recently proposed semi--automatic and fully--automatic coarse--graining schemes for polymer simulations are discussed. All these techniques derive effective potentials for multi--atom units or super--atoms from atomistic simulations. These include techniques relying on single chain simulations in vacuum and self--consistent optimizations from the melt like the simplex method and the inverted Boltzmann method. The focus is on matching the polymer structure on different scales. Several ...

  17. Automatic Sarcasm Detection: A Survey

    OpenAIRE

    Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark James

    2016-01-01

    Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, sarcasm detection has witnessed great interest from the sentiment analysis community. This paper is the first known compilation of past work in automatic sarcasm detection. We observe three milestones in the research so far: semi-supervised pat...

  18. Prospects for de-automatization.

    Science.gov (United States)

    Kihlstrom, John F

    2011-06-01

    Research by Raz and his associates has repeatedly found that suggestions for hypnotic agnosia, administered to highly hypnotizable subjects, reduce or even eliminate Stroop interference. The present paper sought unsuccessfully to extend these findings to negative priming in the Stroop task. Nevertheless, the reduction of Stroop interference has broad theoretical implications, both for our understanding of automaticity and for the prospect of de-automatizing cognition in meditation and other altered states of consciousness.

  19. The automatization of journalistic narrative

    Directory of Open Access Journals (Sweden)

    Naara Normande

    2013-06-01

    Full Text Available This paper proposes an initial discussion about the production of automatized journalistic narratives. Despite being a topic discussed in specialized sites and international conferences in communication area, the concepts are still deficient in academic research. For this article, we studied the concepts of narrative, databases and algorithms, indicating a theoretical trend that explains this automatized journalistic narratives. As characterization, we use the cases of Los Angeles Times, Narrative Science and Automated Insights.

  20. Process automatization in system administration

    OpenAIRE

    Petauer, Janja

    2013-01-01

    The aim of the thesis is to present automatization of user management in company Studio Moderna. The company has grown exponentially in recent years, that is why we needed to find faster, easier and cheaper way of man- aging user accounts. We automatized processes of creating, changing and removing user accounts within Active Directory. We prepared user interface inside of existing application, used Java Script for drop down menus, wrote script in scripting programming langu...

  1. Development paths of multi-car elevators

    OpenAIRE

    Auvinen, Mikko

    2015-01-01

    While the world’s population moves to cities and the height of the building base rises, the limitations of elevator technology become more significant. The greatest problem of the modern elevator is the required space. Related to this is the majority of the hoistway volume, which is not in active use on a traditional single-car elevator. This inefficiency results in a large loss of usable floor space, especially in high-rise buildings. This thesis discusses attempts to solve the inefficie...

  2. Concept Car Design and Ability Training

    Science.gov (United States)

    Lv, Jiefeng; Lu, Hairong

    The concept design as a symbol of creative design thinking, reflecting on the future design of exploratory and prospective, as a vehicle to explore the notion of future car design, design inspiration and creativity is not only a bold display, more through demonstrate the concept, reflects the company's technological strength and technological progress, and thus enhance their brand image. Present Chinese automobile design also has a very big disparity with world level, through cultivating students' concept design ability, to establish native design features and self-reliant brand image is practical and effective ways, also be necessary and pressing.

  3. CARS Studies of Nitramine Lova Propellant Combustion.

    Science.gov (United States)

    1983-11-01

    Harris, and J. Fendell , "N2 and CO Vibratioi A.RS and H2 Rotational CARS Spectroscopy of CH -N 0 Flames," Technical Report ARLCD-TR- 83033, ARRADCOM...Dover, NJ, August 1981. I. K. Aron, L. E. Harris, and J. Fendell , Applied Optics, to be published. 11. A. C. Eckbreth, Applied Physics Letters, vol...Conference, 1980, p 668. d K. Aron, L. E. Harris, and J. Fendell , Applied Optics, to be published. e Observed frequency iii this work differs by more

  4. Wireless vehicular networks for car collision avoidance

    CERN Document Server

    2013-01-01

    Wireless Vehicular Networks for Car Collision Avoidance focuses on the development of the ITS (Intelligent Transportation Systems) in order to minimize vehicular accidents. The book presents and analyses a range of concrete accident scenarios while examining the causes of vehicular collision and proposing countermeasures based on wireless vehicular networks. The book also describes the vehicular network standards and quality of service mechanisms focusing on improving critical dissemination of safety information. With recommendations on techniques and protocols to consider when improving road safety policies in order to minimize crashes and collision risks.

  5. Blue Car, Red Car: Developing Efficiency in Online Interpretation of Adjective-Noun Phrases

    Science.gov (United States)

    Fernald, Anne; Thorpe, Kirsten; Marchman, Virginia A.

    2010-01-01

    Two experiments investigated the development of fluency in interpreting adjective-noun phrases in 30- and 36-month-old English-learning children. Using online processing measures, children's gaze patterns were monitored as they heard the familiar adjective-noun phrases (e.g. "blue car") in visual contexts where the adjective was either informative…

  6. Running performance of racing solar car; Kyogiyo solar car no soko seino

    Energy Technology Data Exchange (ETDEWEB)

    Fujita, H. [Osaka Sangyo Univ., Osaka (Japan); Ando, Y.

    1997-11-25

    The paper reported on `96 World Solar Challenge which is a solar car race traveling a total of 3010km from Darwin to Adelaide of the Australian continent. We accomplished running with general cars on general roads at mean speed of 60.3km/h for 6 days. To reduce vehicle weight, the monocock structure honeycombed with carbon fiber and aramid was adopted to the whole vehicle, and a light alloy to driving system parts. To reduce air resistance, adopted were reduction in the front projection area and the smooth body form. The required power is 44.8 kWh, and the power consumption ratio during travel is very high, approximately 67 km/kWh. In the travel of solar car in the unstable weather, dependence upon battery becomes higher, and therefore the battery capacity of 3.5 kWh with which the car was loaded is small, which resulted in affecting the race totally. To predict the travel in the race and determine the travel method, needed are collection and management of realtime and accurate travel data. The measuring management system developed this time together with the vehicle was applicable to the actual race and high in practicality. 2 refs., 7 figs., 1 tab.

  7. Feasibility Research of Nuclear-power System for Car

    Institute of Scientific and Technical Information of China (English)

    WU; Xiao-chun; SUN; Zheng; LIU; Xin-ming; LI; Long; XU; Zhi-long; SHAO; Jing

    2013-01-01

    The idea of making nuclear-powered car can dated back to 1950s,and Ford company developed the first nuclear-powered car Nucleon which theoretically based on uranium-235 fission powered engine.Recently,General Motors released its Cadillac"World Thorium Fuel Concept"car at 2009 Chicago Auto Show,which didn’t include a working thorium-powered engine.But it’s claimed that the thorium laser

  8. Car Crash Fatalities Associated With Fire in Sweden

    OpenAIRE

    Viklund, Åsa; Björnstig, Johanna; Larsson, Magnus; Björnstig, Ulf

    2013-01-01

    Objective: To study the epidemiology and causes of death in fatal car crashes on Swedish roads in which the victim's vehicle caught fire. Methods: The data set is from the Swedish Transport Administrations in-depth studies of fatal crashes 1998-2008. Autopsies from all cases provided data on injuries, toxicological analyses, and cause of death. Results: In total, 181 people died in 133 burning cars, accounting for 5 percent of all deaths in passenger cars, sport utility vehicles, vans, and mi...

  9. Can privacy concerns for insurance of connected cars be compensated?

    OpenAIRE

    Derikx, S.; De Reuver, G.A.; Kroesen, M.

    2015-01-01

    Internet-of-things technologies enable service providers such as insurance companies to collect vast amounts of privacy-sensitive data on car drivers. This paper studies whether and how privacy concerns of car owners can be compensated by offering monetary benefits. We study the case of usage based car insurance services for which the insurance fee is adapted to measured mileage and driving behaviour. A conjoint experiment shows that consumers prefer their current insurance products to usage ...

  10. MAG ONE novel energy storage for high tech sports car

    Energy Technology Data Exchange (ETDEWEB)

    Siuru, B.

    1993-03-01

    A solar-powered car, the MAG ONE, is discussed. Photovoltaic cells would cover 100 square feet of the car`s body. Solar cells would cover the entire vehicle to intake as much solar energy as possible. By using computerized series-parallel switching of the solar cell system should yield 2-3 horsepower per-hour on a sunny day. An important concept is the proprietary continuously variable hydrostatic transmission capable of 90 percent efficiency.

  11. Car and motorcycle deaths: an evolutionary perspective.

    Science.gov (United States)

    Medeiros, André Luís Dos Santos; Nadanovsky, Paulo

    2016-12-01

    Our aim was to assess differences between men and women in the likelihood of exposure to traffic as drivers of cars and motorcycles, and in the risk of dying from a car or a motorcycle crash, in order to verify the extent to which Darwin's Sexual Selection Theory could have predicted the findings and can help to interpret them. Study population was composed of men and women aged 18 to 60 years residents in the state of Rio de Janeiro between 2004 and 2010, and in the state of Rio Grande do Sul between 2001 and 2010. We built frequency distribution tables and drew bar charts in order to check whether there were differences between the sexes and interactions of sex with age. More men exposed themselves to and died in traffic than women, especially the young. Society should have an especially vigilant attitude towards men on the wheel due to their increased innate tendency to exposure to risk. Darwin's sexual selection theory can be an important ally when postulating hypotheses and interpreting epidemiological findings aiming at improving public policies to reduce the excessive number of traffic deaths, especially in societies where machismo is strong or the stimulus to masculinity is exaggerated.

  12. Neuroanatomical correlates of visual car expertise.

    Science.gov (United States)

    Gilaie-Dotan, Sharon; Harel, Assaf; Bentin, Shlomo; Kanai, Ryota; Rees, Geraint

    2012-08-01

    Expertise in non-visual domains such as musical performance is associated with differences in gray matter volume of particular regions of the human brain. Whether this is also the case for expertise in visual object recognition is unknown. Here we tested whether individual variability in the ability to recognize car models, from novice performance to high level of expertise, is associated with specific structural changes in gray matter volume. We found that inter-individual variability in expertise with cars was significantly and selectively correlated with gray matter volume in prefrontal cortex. Inter-individual differences in the recognition of airplanes, that none of the participants had expertise with, were correlated with structural variability of regions bordering the visual cortex. These results highlight the role of prefrontal regions outside the visual cortex in accessing and processing visual knowledge about objects from the domain of expertise and suggest that expertise in visual object recognition may entail structural changes in regions associated with semantic knowledge.

  13. Car and motorcycle deaths: an evolutionary perspective

    Directory of Open Access Journals (Sweden)

    André Luís dos Santos Medeiros

    Full Text Available Abstract Our aim was to assess differences between men and women in the likelihood of exposure to traffic as drivers of cars and motorcycles, and in the risk of dying from a car or a motorcycle crash, in order to verify the extent to which Darwin's Sexual Selection Theory could have predicted the findings and can help to interpret them. Study population was composed of men and women aged 18 to 60 years residents in the state of Rio de Janeiro between 2004 and 2010, and in the state of Rio Grande do Sul between 2001 and 2010. We built frequency distribution tables and drew bar charts in order to check whether there were differences between the sexes and interactions of sex with age. More men exposed themselves to and died in traffic than women, especially the young. Society should have an especially vigilant attitude towards men on the wheel due to their increased innate tendency to exposure to risk. Darwin's sexual selection theory can be an important ally when postulating hypotheses and interpreting epidemiological findings aiming at improving public policies to reduce the excessive number of traffic deaths, especially in societies where machismo is strong or the stimulus to masculinity is exaggerated.

  14. Crash protection of stock car racing drivers--application of biomechanical analysis of Indy car crash research.

    Science.gov (United States)

    Melvin, John W; Begeman, Paul C; Faller, Ronald K; Sicking, Dean L; McClellan, Scott B; Maynard, Edwin; Donegan, Michael W; Mallott, Annette M; Gideon, Thomas W

    2006-11-01

    Biomechanical analysis of Indy car crashes using on-board impact recorders (Melvin et al. 1998, Melvin et al. 2001) indicates that Indy car driver protection in high-energy crashes can be achieved in frontal, side, and rear crashes with severities in the range of 100 to 135 G peak deceleration and velocity changes in the range of 50 to 70 mph. These crashes were predominantly single-car impacts with the rigid concrete walls of oval tracks. This impressive level of protection was found to be due to the unique combination of a very supportive and tight-fitting cockpit-seating package, a six-point belt restraint system, and effective head padding with an extremely strong chassis that defines the seat and cockpit of a modern Indy car. In 2000 and 2001, a series of fatal crashes in stock car racing created great concern for improving the crash protection for drivers in those racecars. Unlike the Indy car, the typical racing stock car features a more spacious driver cockpit due to its resemblance to the shape of a passenger car. The typical racing seat used in stock cars did not have the same configuration or support characteristics of the Indy car seat, and five-point belt restraints were used. The tubular steel space frame chassis of a stock car also differs from an Indy car's composite chassis structure in both form and mechanical behavior. This paper describes the application of results of the biomechanical analysis of the Indy car crash studies to the unique requirements of stock car racing driver crash protection. Sled test and full-scale crash test data using both Hybrid III frontal crash anthropomorphic test devices (ATDs) and BioSID side crash ATDs for the purpose of evaluating countermeasures involving restraint systems, seats and head/neck restraints has been instrumental in guiding these developments. In addition, the development of deformable walls for oval tracks (the SAFER Barrier) is described as an adjunct to improved occupant restraint through control

  15. Una variante del carácter cultural

    OpenAIRE

    Efraín Aguilar Jiménez

    2005-01-01

    Este artículo trata de la construcción de una variante del carácter cultural con base en la teoría de las necesidades psicológicas de Erich Fromm y en el carácter social por él desarrollado. Se describen algunas diferencias entre carácter y personalidad y, luego de revisar brevemente la teoría frommiana sobre el tema, se mencionan los fundamentos teóricos y conceptuales necesarios para la elaboración del carácter cultural. Este será una herramienta para estudiar las necesida...

  16. Allocating Freight Empty Cars in Railway Networks with Dynamic Demands

    Directory of Open Access Journals (Sweden)

    Ce Zhao

    2014-01-01

    Full Text Available This paper investigates the freight empty cars allocation problem in railway networks with dynamic demands, in which the storage cost, unit transportation cost, and demand in each stage are taken into consideration. Under the constraints of capacity and demand, a stage-based optimization model for allocating freight empty cars in railway networks is formulated. The objective of this model is to minimize the total cost incurred by transferring and storing empty cars in different stages. Moreover, a genetic algorithm is designed to obtain the optimal empty cars distribution strategies in railway networks. Finally, numerical experiments are given to show the effectiveness of the proposed model and algorithm.

  17. Numerical Reconstruction and Injury Biomechanism in a Car-Pedestrian Crash Accident

    Institute of Scientific and Technical Information of China (English)

    ZOU Dong-hua; LI Zheng-dong; SHAO Yu; FENG Hao; CHEN Jian-guo; LIU Ning-guo; HUANG Ping; CHEN Yi-jiu

    2012-01-01

    Objective To reconstruct a car-pedestrian crash accident using numerical simulation technology and explore the injury biomechanism as forensic evidence for injury identification.Methods An integration of multi-body dynamic,finite elcment (FE),and classical method was applied to a car-pedestrian crash accident.The location of the collision and the details of the traffic accident were determined by vehicle trace verification and autopsy.The accident reconstruction was performed by coupling the three-dimensional car behavior from PC-CRASH with a MADYMO dummy model.The collision FE models of head and leg,developed from CT scans of human remains,were loaded with calculated dummy collision parameters.The data of the impact biomechanical responses were extracted in terms of von Mises stress,relative displacement,strain and stress fringes.Results The accident reconstruction results were identical with the examined ones and the biomechanism of head and leg injuries,illustrated through the FE methods,were consistent with the classical injury theories.Conclusion The numerical simulation technology is proved to be effective in identifying traffic accidents and exploring of injury biomechanism.

  18. Comparison of yeast identification ability between Bruker Microflex MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system%比较 Bruker Microflex MALDI-TOF MS和 Vitek 2 Compact 全自动分析系统对酵母菌的鉴定能力

    Institute of Scientific and Technical Information of China (English)

    刘瑛; 俞静; 陈峰; 刘婧娴; 皇甫昱婵; 沈立松

    2015-01-01

    Objective To evaluate and compare yeast identification ability between Bruker Microflex matrix-assisted laser desorption ionization-time of flight mass spectrometry( MALDI-TOF MS) and Vitek 2 Compact automatic microbial analysis system.Methods Retrospective study.Totally 742 strains of yeast isolated from clinical specimens during March 2013 to March 2014 in Xinhua Hospital, Shanghai Jiao Tong University School of Medicine were identified by Bruker Microflex MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system simultaneously.The strains with discordant results were validated by gene sequencing.Results The coincidence rate of 699 Candida identified by Bruker Microflex MALDI-TOF MS or Vitek 2 Compact system was 100.0%(699/699) and 99.6%(696/699) to the species level, respectively and the coincidence rate of 43 yeast-like fungi strains identified was 90.7%(39/43) and 79.1%(34/43) to the species level, respectively.Penicillium marneffei could not be identified by both two instruments, but protein profile of Penicillium marneffei by MALDI-TOF MS was established.Conclusions The coincidence rate of yeast identified by Bruker Microflex MALDI-TOF MS is higher than that of Vitek 2 Compact system.Using Bruker Microflex MALDI-TOF MS to identify yeast especially Candida and yeast-like fungus is fast, simple, low-cost, accurate, and it can be used in routine work of ordinary yeast identification in clinical microbiology laboratory.%目的:比较Bruker Microflex MALDI-TOF MS和Vitek 2 Compact全自动微生物分析系统对酵母菌的鉴定能力。方法回顾性研究。利用 Bruker Microflex MALDI-TOF MS 和 Vitek 2 Compact全自动微生物分析系统同时对2013年3月至2014年3月上海交通大学医学院附属新华医院临床标本分离得到的742株酵母菌进行鉴定,结果不符菌株用基因测序予以确证。结果 Bruker Microflex MALDI-TOF MS和Vitek 2 Compact全自动微生物分析系统对699株念珠菌的

  19. The development of structures and the prospects of automatic transmissions

    Directory of Open Access Journals (Sweden)

    O. I. Girutskiy

    2014-01-01

    Full Text Available At the present stage development of transport technology has a rapid change of production models along with intensification of modification processes of vehicles, increasing number of new developments thereby providing vehicles with higher consumer qualities and competitiveness at the markets. Automation control of car transmissions is an important task. It raises the life of the engine and transmission, increased permeability and comfort due to a smoother change of torque to the drive wheels, driving off, and acceleration, etc.The article analyzes the promising schemes rotary shaft and planetary gearboxes of leading companies in the world automotive industry, the advantages of automated transmissions. It offers the prospects of creating the control systems of transmissions based on artificial intelligence methods.To design modern vehicles equipped with automatically controlled fluid transmission is a challenge. It requires various technologies to be applied using new technical solutions and scientific principles. An analysis to solve the problem of automation control of various technical objects shows that the classical theory of automatic control does not allow taking into account the diversity of vehicles operating conditions. In this regard, the effectiveness of the systems based on its scientific principles becomes often lower than expected.Implementation of modern design technology is based on a number of scientific and philosophical principles. The most important and most common of them is the principle of hierarchy, which means to structure representations of objects by degree of detailed descriptions and the principle of decomposition (blocking, which means to decompose representations of each level on the number of components (blocks with the possibility for the separate (sub-block designing.In order to create a design of control systems for the cars and synthesize its control algorithms within the framework of the developed concept

  20. INVESTIGATION OF DYNAMIC CHARACTERISTICS OF GONDOLA CARS ON PERSPECTIVE BOGIES

    Directory of Open Access Journals (Sweden)

    S. V. Myamlin

    2014-10-01

    Full Text Available Purpose. In this paper, it is necessary to examine the dynamic properties of the gondola car with bogies, model 18-1711 when it moves on straight and curved sections of a track. Methodology. The calculations were performed using the object-oriented programming on the program "Dynamics of Rail Vehicles" ("DYNRAIL" Myamlin S.V. registered 20.03.2003. Mathematical models of a gondola car and bogies 18-100 and 18-711 were created for the calculations. Findings. Dynamic performances comparison of the gondola car with bogies 18-1711 and the gondola car with bogies 18-100, obtained by calculation method was carried out. Originality. Firstly calculations in order to determine the dynamic properties of the gondola car with bogies 18-1711 when it moves on straight and curved sections of track were performed. At the same time an assessment of the dynamic characteristics of the gondola car was made. The following dynamic standards were determined: the coefficient of vertical dynamics (Cdv, the coefficient of horizontal dynamics (Cdh, and the safety factor against derailment (SFd. Track irregularities in vertical and horizontal transverse planes were assigned as perturbations. They should be so that the dynamic indexes of the widely used in operation gondola car on bogies model 18-100 keep in admissible range of speeds up to 80km / h for the empty gondola car and at speeds up to 90km / h for the loaded gondola cars. Practical value. As a result of the calculations and comparisons of their results, we have findings that the use of bogies with bilinear characteristic of the central suspension will improve the dynamic performances of gondola cars, currently operating on bogies, model 18-100. And by improving the dynamic performances it is possible to increase the permissible speeds of these cars motion.