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Sample records for automatic car identification

  1. 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.

  2. 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.

  3. 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…

  4. 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...

  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. 2012 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2012 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  7. 2009 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2009 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  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. 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.

  11. Automatic identification of mass spectra

    International Nuclear Information System (INIS)

    Several approaches to preprocessing and comparison of low resolution mass spectra have been evaluated by various test methods related to library search. It is shown that there is a clear correlation between the nature of any contamination of a spectrum, the basic principle of the transformation or distance measure, and the performance of the identification system. The identification of functionality from low resolution spectra has also been evaluated using several classification methods. It is shown that there is an upper limit to the success of this approach, but also that this can be improved significantly by using a very limited amount of additional information. 10 refs

  12. Modeling and identification of passenger car dynamics using robotics formalism

    OpenAIRE

    Venture, Gentiane; Ripert, Pierre-Jean; Khalil, Wisama; Gautier, Maxime; Bodson, Philippe

    2006-01-01

    This paper deals with the problem of dynamicmodeling and identification of passenger cars. It presents a new method that is based on robotics techniques for modeling and description of tree-structured multibody systems. This method enables us to systematically obtain the dynamic identification model, which is linear with respect to the dynamic parameters. The estimation of the parameters is carried out using a weighted least squares method. The identification is tested using vehicle dynamics ...

  13. Towards an automatic semantic annotation of car aesthetics

    OpenAIRE

    Catalano, Chiara Eva; Giannini, Franca; Monti, Marina; Ucelli, Giuliana

    2005-01-01

    The design of a new car is guided by a set of directives indicating the target market and specific engineering and aesthetic constraints, which may include also the preservation of the company brand identity or the restyling of products already on the market. When creating a new product designers are used to evaluating other existing products to take inspiration or to possibly reuse successful solutions. In the perspective of an optimised styling workflow a great benefit could come from the o...

  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. Abbreviation definition identification based on automatic precision estimates

    OpenAIRE

    Kim Won; Comeau Donald C; Sohn Sunghwan; Wilbur W John

    2008-01-01

    Abstract Background The rapid growth of biomedical literature presents challenges for automatic text processing, and one of the challenges is abbreviation identification. The presence of unrecognized abbreviations in text hinders indexing algorithms and adversely affects information retrieval and extraction. Automatic abbreviation definition identification can help resolve these issues. However, abbreviations and their definitions identified by an automatic process are of uncertain validity. ...

  16. 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.

  17. 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.

  18. 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

  19. 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

  20. 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.

  1. 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.

  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. Automatic defect identification on PWR nuclear power station fuel pellets

    International Nuclear Information System (INIS)

    This article presents a new automatic identification technique of structural failures in nuclear green fuel pellet. This technique was developed to identify failures occurred during the fabrication process. It is based on a smart image analysis technique for automatic identification of the failures on uranium oxide pellets used as fuel in PWR nuclear power stations. In order to achieve this goal, an artificial neural network (ANN) has been trained and validated from image histograms of pellets containing examples not only from normal pellets (flawless), but from defective pellets as well (with the main flaws normally found during the manufacturing process). Based on this technique, a new automatic identification system of flaws on nuclear fuel element pellets, composed by the association of image pre-processing and intelligent, will be developed and implemented on the Brazilian nuclear fuel production industry. Based on the theoretical performance of the technology proposed and presented in this article, it is believed that this new system, NuFAS (Nuclear Fuel Pellets Failures Automatic Identification Neural System) will be able to identify structural failures in nuclear fuel pellets with virtually zero error margins. After implemented, the NuFAS will add value to control quality process of the national production of the nuclear fuel.

  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. 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.

  7. 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.

  8. Identification of Dynamics Modal Parameter for Car Chassis

    Energy Technology Data Exchange (ETDEWEB)

    Sani, M S M; Rahman, M M; Noor, M M; Kadirgama, K; Izham, M H N [Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 UMP, Pekan, Pahang (Malaysia)

    2011-02-15

    This paper explores and investigates the dynamic characteristics of car chassis structure by using experimental modal analysis (EMA) method and modal testing. Dynamic characteristics are divided into three parameters include natural frequency, damping factor and mode shape. In this study, modal testing was performed on the car chassis including the impact hammer and shaker test. Data analyzer was used to convert the response signal from the sensor, which was in the time domain to frequency domain. Result obtained from both methods, is compared on each axis (X, Y and Z axis). However, small discrepancy was observed in terms of natural frequency, which is within the range of 5%. Based on the results, interpretation and comparison were made for both methods.

  9. Automatic Identification And Data Collection Via Barcode Laser Scanning.

    Science.gov (United States)

    Jacobeus, Michel

    1986-07-01

    How to earn over 100 million a year by investing 40 million ? No this is not the latest Wall Street "tip" but the costsavings obtained by the U.S. Department of Defense. 2 % savings on annual turnover claim supermarkets ! Millions of Dollars saved report automotive companies ! These are not daydreams, but tangible results measured by users after implemen-ting Automatic Identification and Data Collection systems, based on bar codes. To paraphrase the famous sentence "I think, thus I am", with AI/ADC systems "You knonw, thus you are". Indeed, in today's world, an immediate, accurate and precise information is a vital management need for companies growth and survival. AI/ADC techniques fullfill these objectives by supplying automatically and without any delay nor alteration the right information.

  10. Automatic identification of algal community from microscopic images.

    Science.gov (United States)

    Santhi, Natchimuthu; Pradeepa, Chinnaraj; Subashini, Parthasarathy; Kalaiselvi, Senthil

    2013-01-01

    A good understanding of the population dynamics of algal communities is crucial in several ecological and pollution studies of freshwater and oceanic systems. This paper reviews the subsequent introduction to the automatic identification of the algal communities using image processing techniques from microscope images. The diverse techniques of image preprocessing, segmentation, feature extraction and recognition are considered one by one and their parameters are summarized. Automatic identification and classification of algal community are very difficult due to various factors such as change in size and shape with climatic changes, various growth periods, and the presence of other microbes. Therefore, the significance, uniqueness, and various approaches are discussed and the analyses in image processing methods are evaluated. Algal identification and associated problems in water organisms have been projected as challenges in image processing application. Various image processing approaches based on textures, shapes, and an object boundary, as well as some segmentation methods like, edge detection and color segmentations, are highlighted. Finally, artificial neural networks and some machine learning algorithms were used to classify and identifying the algae. Further, some of the benefits and drawbacks of schemes are examined. PMID:24151424

  11. Automatic Identification of Modal, Breathy and Creaky Voices

    Directory of Open Access Journals (Sweden)

    Poonam Sharma

    2013-12-01

    Full Text Available This paper presents a way for the automatic identification of different voice qualities present in a speech signal which is very beneficiary for detecting any kind of speech by an efficient speech recognition system. Proposed technique is based on three important characteristics of speech signal namely Zero Crossing Rate, Short Time Energy and Fundamental Frequency. The performance of the proposed algorithm is evaluated using the data collected from three different speakers and an overall accuracy of 87.2 % is achieved.

  12. 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.

  13. [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.

  14. Development of an automatic identification algorithm for antibiogram analysis.

    Science.gov (United States)

    Costa, Luan F R; da Silva, Eduardo S; Noronha, Victor T; Vaz-Moreira, Ivone; Nunes, Olga C; Andrade, Marcelino M de

    2015-12-01

    Routinely, diagnostic and microbiology laboratories perform antibiogram analysis which can present some difficulties leading to misreadings and intra and inter-reader deviations. An Automatic Identification Algorithm (AIA) has been proposed as a solution to overcome some issues associated with the disc diffusion method, which is the main goal of this work. AIA allows automatic scanning of inhibition zones obtained by antibiograms. More than 60 environmental isolates were tested using susceptibility tests which were performed for 12 different antibiotics for a total of 756 readings. Plate images were acquired and classified as standard or oddity. The inhibition zones were measured using the AIA and results were compared with reference method (human reading), using weighted kappa index and statistical analysis to evaluate, respectively, inter-reader agreement and correlation between AIA-based and human-based reading. Agreements were observed in 88% cases and 89% of the tests showed no difference or a reading problems such as overlapping inhibition zones, imperfect microorganism seeding, non-homogeneity of the circumference, partial action of the antimicrobial, and formation of a second halo of inhibition. Furthermore, AIA proved to overcome some of the limitations observed in other automatic methods. Therefore, AIA may be a practical tool for automated reading of antibiograms in diagnostic and microbiology laboratories. PMID:26513468

  15. 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…

  16. 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.

  17. 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.

  18. 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

  19. 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.

  20. 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.

  1. Automatic Identification of Storm Cells Using Doppler Radars

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Three storm automatic identification algorithms for Doppler radar axe discussed. The WSR-88D Build 7.0 (B7SI) tests the intensity and continuity of the objective echoes by multiple-prescribed thresholds to build 3D storms, and when storms are merging, splitting, or clustered closely, the detection errors become larger. The B9SI algorithm is part of the Build 9.0 Radar Products Generator of the WSR-88D system. It uses multiple thresholds of reflectivity, newly designs the techniques of cell nucleus extraction and close-storms processing, and therefore is capable of identifying embedded cells in multi-cellular storms. The strong area components at a long distance are saved as 2D storms. However, the B9SI cannot give information on the convection strength of storm, because texture and gradient of reflectivity are not calculated and radial velocity data are not used. To overcome this limitation, the CSI (Convective Storm Identification) algorithm is designed in this paper. By using the fuzzy logic technique, and under the condition that the levels of the seven reflectivity thresholds of B9SI are lowered, the CSI processes the radar base data and the output of B9SI to obtain the convection index of storm. Finally, the CSI is verified with the case of a supercell occurring in Guangzhou on 11 August 2004. The computational and analysis results show that the two rises of convection index matched well with a merging growth and strong convergent growth of the supercell, and the index was 0.744 when the supercell was the strongest, and then decreased. Correspondingly, the height of the maximum reflectivity, detected by the radar also reduced, and heavy rain also occurred in a large-scale area.

  2. 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.

  3. The CarERF genes in chickpea (Cicer arietinum L.) and the identification of CarERF116 as abiotic stress responsive transcription factor.

    Science.gov (United States)

    Deokar, Amit A; Kondawar, Vishwajith; Kohli, Deshika; Aslam, Mohammad; Jain, Pradeep K; Karuppayil, S Mohan; Varshney, Rajeev K; Srinivasan, Ramamurthy

    2015-01-01

    The AP2/ERF family is one of the largest transcription factor gene families that are involved in various plant processes, especially in response to biotic and abiotic stresses. Complete genome sequences of one of the world's most important pulse crops chickpea (Cicer arietinum L.), has provided an important opportunity to identify and characterize genome-wide ERF genes. In this study, we identified 120 putative ERF genes from chickpea. The genomic organization of the chickpea ERF genes suggested that the gene family might have been expanded through the segmental duplications. The 120 member ERF family was classified into eleven distinct groups (I-X and VI-L). Transcriptional factor CarERF116, which is differentially expressed between drought tolerant and susceptible chickpea cultivar under terminal drought stress has been identified and functionally characterized. The CarERF116 encodes a putative protein of 241 amino acids and classified into group IX of ERF family. An in vitro CarERF116 protein-DNA binding assay demonstrated that CarERF116 protein specifically interacts with GCC box. We demonstrate that CarERF116 is capable of transactivation activity of and show that the functional transcriptional domain lies at the C-terminal region of the CarERF116. In transgenic Arabidopsis plants overexpressing CarERF116, significant up-regulation of several stress related genes were observed. These plants also exhibit resistance to osmotic stress and reduced sensitivity to ABA during seed germination. Based on these findings, we conclude that CarERF116 is an abiotic stress responsive gene, which plays an important role in stress tolerance. In addition, the present study leads to genome-wide identification and evolutionary analyses of chickpea ERF gene family, which will facilitate further research on this important group of genes and provides valuable resources for comparative genomics among the grain legumes. PMID:25274312

  4. Parameter identification of a full-car model for active suspension design

    Directory of Open Access Journals (Sweden)

    D. Guidaa

    2010-06-01

    Full Text Available Purpose: A method for identifying parameters of a full-car model for active suspension designDesign/methodology/approach: The method is based on ERA/OKID identification procedure developed by Juang [1].Findings: Numerical results show a good agreement with real system parameters.Research limitations/implications: Results show that this method works well only with a high signal-to-noise ratio.Practical implications: This method can be used as an aid to active suspension design.Originality/value: This procedure has been tested on the full-car model of suspension system in two cases: a full-state measurements; b not full-state measurements.

  5. An automatic identification and monitoring system for coral reef fish

    Science.gov (United States)

    Wilder, Joseph; Tonde, Chetan; Sundar, Ganesh; Huang, Ning; Barinov, Lev; Baxi, Jigesh; Bibby, James; Rapport, Andrew; Pavoni, Edward; Tsang, Serena; Garcia, Eri; Mateo, Felix; Lubansky, Tanya M.; Russell, Gareth J.

    2012-10-01

    To help gauge the health of coral reef ecosystems, we developed a prototype of an underwater camera module to automatically census reef fish populations. Recognition challenges include pose and lighting variations, complicated backgrounds, within-species color variations and within-family similarities among species. An open frame holds two cameras, LED lights, and two `background' panels in an L-shaped configuration. High-resolution cameras send sequences of 300 synchronized image pairs at 10 fps to an on-shore PC. Approximately 200 sequences containing fish were recorded at the New York Aquarium's Glover's Reef exhibit. These contained eight `common' species with 85-672 images, and eight `rare' species with 5-27 images that were grouped into an `unknown/rare' category for classification. Image pre-processing included background modeling and subtraction, and tracking of fish across frames for depth estimation, pose correction, scaling, and disambiguation of overlapping fish. Shape features were obtained from PCA analysis of perimeter points, color features from opponent color histograms, and `banding' features from DCT of vertical projections. Images were classified to species using feedforward neural networks arranged in a three-level hierarchy in which errors remaining after each level are targeted by networks in the level below. Networks were trained and tested on independent image sets. Overall accuracy of species-specific identifications typically exceeded 96% across multiple training runs. A seaworthy version of our system will allow for population censuses with high temporal resolution, and therefore improved statistical power to detect trends. A network of such devices could provide an `early warning system' for coral ecosystem collapse.

  6. Gust Front Statistical Characteristics and Automatic Identification Algorithm for CINRAD

    Institute of Scientific and Technical Information of China (English)

    郑佳锋; 张杰; 朱克云; 刘黎平; 刘艳霞

    2014-01-01

    Gust front is a kind of meso-and micro-scale weather phenomenon that often causes serious ground wind and wind shear. This paper presents an automatic gust front identification algorithm. Totally 879 radar volume-scan samples selected from 21 gust front weather processes that occurred in China between 2009 and 2012 are examined and analyzed. Gust front echo statistical features in reflectivity, velocity, and spectrum width fields are obtained. Based on these features, an algorithm is designed to recognize gust fronts and generate output products and quantitative indices. Then, 315 samples are used to verify the algorithm and 3 typical cases are analyzed. Major conclusions include: 1) for narrow band echoes intensity is between 5 and 30 dBZ, widths are between 2 and 10 km, maximum heights are less than 4 km (89.33%are lower than 3 km), and the lengths are between 50 and 200 km. The narrow-band echo is higher than its surrounding echo. 2) Gust fronts present a convergence line or a wind shear in the velocity field;the frontal wind speed gradually decreases when the distance increases radially outward. Spectral widths of gust fronts are large, with 87.09% exceeding 4 m s-1 . 3) Using 315 gust front volume-scan samples to test the algorithm reveals that the algorithm is highly stable and has successfully recognized 277 samples. The algorithm also works for small-scale or weak gust fronts. 4) Radar data quality has certain impact on the algorithm.

  7. Automatic identification technology tracking weapons and ammunition for the Norwegian Armed Forces

    OpenAIRE

    Lien, Tord Hjalmar.

    2011-01-01

    Approved for public release; distribution is unlimited. The purpose of this study is to recommend technology and solutions that improve the accountability and accuracy of small arms and ammunition inventories in the Norwegian Armed Forces (NAF). Radio Frequency Identification (RFID) and Item Unique Identification (IUID) are described, and challenges and benefits of these two major automatic identification technologies are discussed. A case study for the NAF is conducted where processes a...

  8. 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.

  9. 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

  10. 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.

  11. Automatic Identification of Personal Life Events in Twitter

    OpenAIRE

    Dickinson, Thomas; Fernández, Miriam; Thomas, Lisa A.; Mulholland, Paul; Briggs, Pam; Alani, Harith

    2015-01-01

    New social media has led to an explosion in personal digital data that encompasses both those expressions of self chosen by the individual as well as reflections of self provided by other, third parties. The resulting Digital Personhood (DP) data is complex and for many users it is too easy to become lost in the mire of digital data. This paper studies the automatic detection of personal life events in Twitter. Six relevant life events are considered from psychological research including: beg...

  12. Wavelet Packet Based Features for Automatic Script Identification

    OpenAIRE

    M.C. Padma & P. A. Vijaya

    2010-01-01

    In a multi script environment, an archive of documents printed in different scriptsis in practice. For automatic processing of such documents through OpticalCharacter Recognition (OCR), it is necessary to identify the script type of thedocument. In this paper, a novel texture-based approach is presented to identifythe script type of the collection of documents printed in ten Indian scripts -Bangla, Devanagari, Roman (English), Gujarati, Malayalam, Oriya, Tamil,Telugu, Kannada and Urdu. The do...

  13. 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.

  14. 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.

  15. 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.

  16. Automatically Identification and Classification of Moving Vehicles at Night

    Directory of Open Access Journals (Sweden)

    Atena Khodarahmi

    2012-07-01

    Full Text Available Todays moving object detection plays an important role in computer vision filed. Although a lot of moving objects detection methods has been proposed but monitoring at nights is still a challenging topic. In this paper, a robust algorithm is proposed for automatic detection moving vehicles at night or in environments with low level of light which has quality problems. In this algorithm, first preprocessing steps were conducted. Then all of vehicles in frame identify and classify according their type. Finally, the moving vehicles detected. The results demonstrate that the proposed algorithm significantly outperforms existing algorithm for the detecting and classification of moving vehicles at night.

  17. Automatic Identification of Silence, Unvoiced and Voiced Chunks in Speech

    Directory of Open Access Journals (Sweden)

    Poonam Sharma

    2013-05-01

    Full Text Available The objective of this work is to automatically seg ment the speech signal into silence, voiced and unvoiced regions which are very beneficial in incre asing the accuracy and performance of recognition systems. Proposed algorithm is based on three important characteristics of speech signal namely Zero Crossing Rate, Short Time Energy and Fundamental Frequency. The performance of the proposed algorithm is evaluated using the data collected from four different speakers and an overall accuracy of 96.61 % is achi eved.

  18. 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)

  19. 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.

  20. Automatic Priming Effects for New Associations in Lexical Decision and Perceptual Identification

    NARCIS (Netherlands)

    D. Pecher (Diane); J.G.W. Raaijmakers (Jeroen)

    1999-01-01

    textabstractInformation storage in semantic memory was investigated by looking at automatic priming effects for new associations in two experiments. In the study phase word pairs were presented in a paired-associate learning task. Lexical decision and perceptual identification were used to examine p

  1. 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...

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 基于MSP430自动往返小车的设计%The design of automatic round-trip car based on the MSP430

    Institute of Scientific and Technical Information of China (English)

    刘竹琴; 白杨

    2014-01-01

    设计了一个自动往返和智能控制的小车。采用MSP430F149为核心芯片,选用双全桥驱动芯片作为小车电机驱动,利用PWM技术动态控制电动机的转速,红外线光电传感器检测标识线,U型红外光电传感器测量路程。 MCU判断和处理各种传感器传回的信息,向电机驱动器发出指令,控制小车在往返过程中实现自动加速、限速、减速、刹车、倒车和在液晶显示器上显示行驶时间,行驶路程等相关数据。%Designed an automatic and intelligent control of the car back and forth. The MSP430F149 as the core chip, using both bridge driver chip as the car motor driven, dynamic control of motor speed using the PWM technology, infrared photoelectric sensor detection line, u-shaped electrcal sensor measuring distance. MCU to judge and deal with all kinds of sensors information, issue instructions to motor drives, control the car during the process of back and forth to realize automatic acceleration, speed, deceleration, braking, reverse and displayed on the LCD display drive, travel and other related data.

  7. 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.

  8. Automatic limb identification and sleeping parameters assessment for pressure ulcer prevention.

    Science.gov (United States)

    Baran Pouyan, Maziyar; Birjandtalab, Javad; Nourani, Mehrdad; Matthew Pompeo, M D

    2016-08-01

    Pressure ulcers (PUs) are common among vulnerable patients such as elderly, bedridden and diabetic. PUs are very painful for patients and costly for hospitals and nursing homes. Assessment of sleeping parameters on at-risk limbs is critical for ulcer prevention. An effective assessment depends on automatic identification and tracking of at-risk limbs. An accurate limb identification can be used to analyze the pressure distribution and assess risk for each limb. In this paper, we propose a graph-based clustering approach to extract the body limbs from the pressure data collected by a commercial pressure map system. A robust signature-based technique is employed to automatically label each limb. Finally, an assessment technique is applied to evaluate the experienced stress by each limb over time. The experimental results indicate high performance and more than 94% average accuracy of the proposed approach. PMID:27268736

  9. 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%.

  10. Rapid Identification of Volatile Compounds in Aromathic Plants by Automatic Thermal Desorption - GC-MS

    OpenAIRE

    Esteban, J. L.; Martínez-Castro, I.; Morales Valverde, Ramón; Fabrellas, B.; Sanz, J.

    1996-01-01

    [EN]Thermal desorption is a valuable mathod for the fractionation of plant volatile components, which can be carried out on-line with GC analysis. The use of coupled GC-MS affords additional qualitative information, of special interest for plant species whose composition has not been previosly studied. Some examples of the application of automatic thermal desorption coupled to GC-MS to the identification and characterization of volatile components of plants of different families are given.

  11. 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。

  12. 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.

  13. 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. PMID:26975238

  14. 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.

  15. 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.

  16. 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.

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

    Science.gov (United States)

    Sakurai, Yoshihisa; Fujita, Zenya; Ishige, Yusuke

    2016-01-01

    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. PMID:27049388

  18. RESEARCH ON AUTOMATIC FOG IDENTIFICATION TECHNOLOGY BY METEOROLOGICAL SATELLITE REMOTE SENSING

    Institute of Scientific and Technical Information of China (English)

    ZHOU Hong-mei; GE Wei-qiang; BAI Hua; LIU Dong-wei; YANG Ying-min

    2009-01-01

    There is an urgent need for the development of a method that can undertake rapid,effective,and accurate monitoring and identification of fog by satellite remote sensing,since heavy fog can cause enormous disasters to China's national economy and people's lives and property in the urban and coastal areas. In this paper,the correlative relationship between the rellectivity of land surface and clouds in different time phases is found,based on the analysis of the radiative and satellite-based spectral characteristics of fog. Through calculation and analyses of the relative variability of the reflectivity in the images,the threshold to identify quasi-fog areas is generated automatically. Furthermore,using the technique of quick image run-length encoding,and in combination with such practical methods as analyzing texture and shape fractures,smoothness,and template characteristics,the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied,with good results in application.

  19. 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.

  20. 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.

  1. Car Rank: An Information-Centric Identification of Important Smart Vehicles for Urban Sensing

    OpenAIRE

    Khan, Junaid Ahmed; Ghamri-Doudane, Yacine

    2015-01-01

    Future cars are becoming powerful sensor platforms capable to collect, store and share large amount of sensory data by constant monitoring of urban streets. It is quite challenging to upload such data from all vehicles to the infrastructure due to limited bandwidth resources and high upload cost. This invoke the need to identify the appropriate vehicles within the Vehicular Ad-hoc Network, that are important for different urban sensing tasks based on their natural mobility and availability. T...

  2. 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......, and the proportion is decreasing. Hence, HRL identification and enhancement are carried out more or less at random. Also, they are retrospective, i.e. accidents must occur before road safety enhancements can be made. In place of that procedure, a predictive model based on serious jerks (the derivative...

  3. 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.

  4. Identification of solid state fermentation degree with FT-NIR spectroscopy: Comparison of wavelength variable selection methods of CARS and SCARS

    Science.gov (United States)

    Jiang, Hui; Zhang, Hang; Chen, Quansheng; Mei, Congli; Liu, Guohai

    2015-10-01

    The use of wavelength variable selection before partial least squares discriminant analysis (PLS-DA) for qualitative identification of solid state fermentation degree by FT-NIR spectroscopy technique was investigated in this study. Two wavelength variable selection methods including competitive adaptive reweighted sampling (CARS) and stability competitive adaptive reweighted sampling (SCARS) were employed to select the important wavelengths. PLS-DA was applied to calibrate identified model using selected wavelength variables by CARS and SCARS for identification of solid state fermentation degree. Experimental results showed that the number of selected wavelength variables by CARS and SCARS were 58 and 47, respectively, from the 1557 original wavelength variables. Compared with the results of full-spectrum PLS-DA, the two wavelength variable selection methods both could enhance the performance of identified models. Meanwhile, compared with CARS-PLS-DA model, the SCARS-PLS-DA model achieved better results with the identification rate of 91.43% in the validation process. The overall results sufficiently demonstrate the PLS-DA model constructed using selected wavelength variables by a proper wavelength variable method can be more accurate identification of solid state fermentation degree.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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. PMID:25415992

  10. 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.

  11. 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. PMID:18331979

  12. 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. PMID:26357393

  13. 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.

  14. 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.

  15. Analysis and Recommendations of Improving Automatic Car Wash Machine Cleaning Effect%改善列车自动清洗机清洗效果的分析与建议

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

      针对目前广州地铁列车自动清洗机洗车质量不高的问题,从自动清洗机清洗流程分析,根据实际使用情况,提出调整毛刷转向及增加横刷清洗模式的建议,提高列车自动清洗机的清洗效果。%Aiming at the problems existing in Guangzhou metro train automatic car wash machine, analyzed the automatic washing machine cleaning process,according to the actual use situation,put forward the advice of adjusting brush and increased horizontal brush cleaning mode to improve the cleaning effect of train automatic wash machine.

  16. 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.

  17. 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.

  18. 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. PMID:26722989

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. AROMA-AIRWICK: a CHLOE/CDC-3600 system for the automatic identification of spark images and their association into tracks

    International Nuclear Information System (INIS)

    The AROMA-AIRWICK System for CHLOE, an automatic film scanning equipment built at Argonne by Donald Hodges, and the CDC-3600 computer is a system for the automatic identification of spark images and their association into tracks. AROMA-AIRWICK has been an outgrowth of the generally recognized need for the automatic processing of high energy physics data and the fact that the Argonne National Laboratory has been a center of serious spark chamber development in recent years

  5. Evaluation of the algorithm for automatic identification of the common carotid artery in ARTSENS

    International Nuclear Information System (INIS)

    Arterial compliance (AC) is an indicator of the risk of cardiovascular diseases (CVDs) and it is generally estimated by B-mode ultrasound investigation. The number of sonologists in low- and middle-income countries is very disproportionate to the extent of CVD. To bridge this gap we are developing an image-free CVD risk screening tool–arterial stiffness evaluation for non-invasive screening (ARTSENS™) which can be operated with minimal training. ARTSENS uses a single element ultrasound transducer to investigate the wall dynamics of the common carotid artery (CCA) and subsequently measure the AC. Identification of the proximal and distal walls of the CCA, in the ultrasound frames, is an important step in the process of the measurement of AC. The image-free nature of ARTSENS creates some unique issues which necessitate the development of a new algorithm that can automatically identify the CCA from a sequence of A-mode radio-frequency (RF) frames. We have earlier presented the concept and preliminary results for an algorithm that employed clues from the relative positions and temporal motion of CCA walls, for identifying the CCA and finding the approximate wall positions. In this paper, we present the detailed algorithm and its extensive evaluation based on simulation and clinical studies. The algorithm identified the wall position correctly in more than 90% of all simulated datasets where the signal-to-noise ratio was greater than 3 dB. The algorithm was then tested extensively on RF data obtained from the CCA of 30 human volunteers, where it successfully located the arterial walls in more than 70% of all measurements. The algorithm could successfully reject frames where the CCA was not present thus assisting the operator to place the probe correctly in the image-free system, ARTSENS. It was demonstrated that the algorithm can be used in real-time with few trade-offs which do not affect the accuracy of CCA identification. A new method for depth range selection

  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. 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

  8. 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. PMID:22103733

  9. Contribution to automatic speech recognition. Analysis of the direct acoustical signal. Recognition of isolated words and phoneme identification

    International Nuclear Information System (INIS)

    This report deals with the acoustical-phonetic step of the automatic recognition of the speech. The parameters used are the extrema of the acoustical signal (coded in amplitude and duration). This coding method, the properties of which are described, is simple and well adapted to a digital processing. The quality and the intelligibility of the coded signal after reconstruction are particularly satisfactory. An experiment for the automatic recognition of isolated words has been carried using this coding system. We have designed a filtering algorithm operating on the parameters of the coding. Thus the characteristics of the formants can be derived under certain conditions which are discussed. Using these characteristics the identification of a large part of the phonemes for a given speaker was achieved. Carrying on the studies has required the development of a particular methodology of real time processing which allowed immediate evaluation of the improvement of the programs. Such processing on temporal coding of the acoustical signal is extremely powerful and could represent, used in connection with other methods an efficient tool for the automatic processing of the speech.(author)

  10. Automatic Identification of the Repolarization Endpoint by Computing the Dominant T-wave on a Reduced Number of Leads.

    Science.gov (United States)

    Giuliani, C; Agostinelli, A; Di Nardo, F; Fioretti, S; Burattini, L

    2016-01-01

    Electrocardiographic (ECG) T-wave endpoint (Tend) identification suffers lack of reliability due to the presence of noise and variability among leads. Tend identification can be improved by using global repolarization waveforms obtained by combining several leads. The dominant T-wave (DTW) is a global repolarization waveform that proved to improve Tend identification when computed using the 15 (I to III, aVr, aVl, aVf, V1 to V6, X, Y, Z) leads usually available in clinics, of which only 8 (I, II, V1 to V6) are independent. The aim of the present study was to evaluate if the 8 independent leads are sufficient to obtain a DTW which allows a reliable Tend identification. To this aim Tend measures automatically identified from 15-dependent-lead DTWs of 46 control healthy subjects (CHS) and 103 acute myocardial infarction patients (AMIP) were compared with those obtained from 8-independent-lead DTWs. Results indicate that Tend distributions have not statistically different median values (CHS: 340 ms vs. 340 ms, respectively; AMIP: 325 ms vs. 320 ms, respectively), besides being strongly correlated (CHS: ρ=0.97, AMIP: 0.88; Pidentification from DTW, the 8 independent leads can be used without a statistically significant loss of accuracy but with a significant decrement of computational effort. The lead dependence of 7 out of 15 leads does not introduce a significant bias in the Tend determination from 15 dependent lead DTWs. PMID:27347218

  11. 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.

  12. Algorithms for the automatic identification of MARFEs and UFOs in JET database of visible camera videos

    International Nuclear Information System (INIS)

    MARFE instabilities and UFOs leave clear signatures in JET fast visible camera videos. Given the potential harmful consequences of these events, particularly as triggers of disruptions, it would be important to have the means of detecting them automatically. In this paper, the results of various algorithms to identify automatically the MARFEs and UFOs in JET visible videos are reported. The objective is to retrieve the videos, which have captured these events, exploring the whole JET database of images, as a preliminary step to the development of real-time identifiers in the future. For the detection of MARFEs, a complete identifier has been finalized, using morphological operators and Hu moments. The final algorithm manages to identify the videos with MARFEs with a success rate exceeding 80%. Due to the lack of a complete statistics of examples, the UFO identifier is less developed, but a preliminary code can detect UFOs quite reliably. (authors)

  13. 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...

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

    OpenAIRE

    G. Vijayaraju

    2013-01-01

    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 ...

  15. Call recognition and individual identification of fish vocalizations based on automatic speech recognition: An example with the Lusitanian toadfish.

    Science.gov (United States)

    Vieira, Manuel; Fonseca, Paulo J; Amorim, M Clara P; Teixeira, Carlos J C

    2015-12-01

    The study of acoustic communication in animals often requires not only the recognition of species specific acoustic signals but also the identification of individual subjects, all in a complex acoustic background. Moreover, when very long recordings are to be analyzed, automatic recognition and identification processes are invaluable tools to extract the relevant biological information. A pattern recognition methodology based on hidden Markov models is presented inspired by successful results obtained in the most widely known and complex acoustical communication signal: human speech. This methodology was applied here for the first time to the detection and recognition of fish acoustic signals, specifically in a stream of round-the-clock recordings of Lusitanian toadfish (Halobatrachus didactylus) in their natural estuarine habitat. The results show that this methodology is able not only to detect the mating sounds (boatwhistles) but also to identify individual male toadfish, reaching an identification rate of ca. 95%. Moreover this method also proved to be a powerful tool to assess signal durations in large data sets. However, the system failed in recognizing other sound types. PMID:26723348

  16. A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms

    OpenAIRE

    Yu, Chenggang; Liu, Zhenqiu; McKenna, Thomas; Reisner, Andrew T.; Reifman, Jaques

    2006-01-01

    Objective: The development and application of data-driven decision-support systems for medical triage, diagnostics, and prognostics pose special requirements on physiologic data. In particular, that data are reliable in order to produce meaningful results. The authors describe a method that automatically estimates the reliability of reference heart rates (HRr) derived from electrocardiogram (ECG) waveforms and photoplethysmogram (PPG) waveforms recorded by vital-signs monitors. The reliabilit...

  17. 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.

  18. Automatic Active-Region Identification and Azimuth Disambiguation of the SOLIS/VSM Full-Disk Vector Magnetograms

    CERN Document Server

    Georgoulis, M K; Henney, C J

    2007-01-01

    The Vector Spectromagnetograph (VSM) of the NSO's Synoptic Optical Long-Term Investigations of the Sun (SOLIS) facility is now operational and obtains the first-ever vector magnetic field measurements of the entire visible solar hemisphere. To fully exploit the unprecedented SOLIS/VSM data, however, one must first address two critical problems: first, the study of solar active regions requires an automatic, physically intuitive, technique for active-region identification in the solar disk. Second, use of active-region vector magnetograms requires removal of the azimuthal $180^o$-ambiguity in the orientation of the transverse magnetic field component. Here we report on an effort to address both problems simultaneously and efficiently. To identify solar active regions we apply an algorithm designed to locate complex, flux-balanced, magnetic structures with a dominant E-W orientation on the disk. Each of the disk portions corresponding to active regions is thereafter extracted and subjected to the Nonpotential M...

  19. 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....

  20. Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study

    Directory of Open Access Journals (Sweden)

    Beltrame Francesco

    2010-11-01

    Full Text Available Abstract Background Tissue MicroArray technology aims to perform immunohistochemical staining on hundreds of different tissue samples simultaneously. It allows faster analysis, considerably reducing costs incurred in staining. A time consuming phase of the methodology is the selection of tissue areas within paraffin blocks: no utilities have been developed for the identification of areas to be punched from the donor block and assembled in the recipient block. Results The presented work supports, in the specific case of a primary subtype of breast cancer (tubular breast cancer, the semi-automatic discrimination and localization between normal and pathological regions within the tissues. The diagnosis is performed by analysing specific morphological features of the sample such as the absence of a double layer of cells around the lumen and the decay of a regular glands-and-lobules structure. These features are analysed using an algorithm which performs the extraction of morphological parameters from images and compares them to experimentally validated threshold values. Results are satisfactory since in most of the cases the automatic diagnosis matches the response of the pathologists. In particular, on a total of 1296 sub-images showing normal and pathological areas of breast specimens, algorithm accuracy, sensitivity and specificity are respectively 89%, 84% and 94%. Conclusions The proposed work is a first attempt to demonstrate that automation in the Tissue MicroArray field is feasible and it can represent an important tool for scientists to cope with this high-throughput technique.

  1. Need of a consistent and convenient nucleus identification in ENDF files for the automatic construction of the depletion chains

    Science.gov (United States)

    Mosca, Pietro; Mounier, Claude

    2016-03-01

    The automatic construction of evolution chains recently implemented in GALILEE system is based on the analysis of several ENDF files : the multigroup production cross sections present in the GENDF files processed by NJOY from the ENDF evaluation, the decay file and the fission product yields (FPY) file. In this context, this paper highlights the importance of the nucleus identification to properly interconnect the data mentioned above. The first part of the paper describes the present status of the nucleus identification among the several ENDF files focusing, in particular, on the use of the excited state number and of the isomeric state number. The second part reviews the problems encountered during the automatic construction of the depletion chains using recent ENDF data. The processing of the JEFF-3.1.1, ENDF/B-VII.0 (decay and FPY) and the JEFF-3.2 (production cross section) points out problems about the compliance or not of the nucleus identifiers with the ENDF-6 format and sometimes the inconsistencies among the various ENDF files. In addition, the analysis of EAF-2003 and EAF-2010 shows some incoherence between the ZA product identifier and the reaction identifier MT for the reactions (n, pα) and (n, 2np). As a main result of this work, our suggestion is to change the ENDF format using systematically the isomeric state number to identify the nuclei. This proposal is already compliant to a huge amount ENDF data that are not in agreement with the present ENDF format. This choice is the most convenient because, ultimately, it allows one to give human readable names to the nuclei of the depletion chains.

  2. An automatic method for atom identification in scanning tunnelling microscopy images of Fe-chalcogenide superconductors.

    Science.gov (United States)

    Perasso, A; Toraci, C; Massone, A M; Piana, M; Gerbi, A; Buzio, R; Kawale, S; Bellingeri, E; Ferdeghini, C

    2015-12-01

    We describe a computational approach for the automatic recognition and classification of atomic species in scanning tunnelling microscopy images. The approach is based on a pipeline of image processing methods in which the classification step is performed by means of a Fuzzy Clustering algorithm. As a representative example, we use the computational tool to characterize the nanoscale phase separation in thin films of the Fe-chalcogenide superconductor FeSex Te1-x , starting from synthetic data sets and experimental topographies. We quantify the stoichiometry fluctuations on length scales from tens to a few nanometres. PMID:26291960

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

    NARCIS (Netherlands)

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

    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

  4. Analysis and Development of FACE Automatic Apparatus for Rapid Identification of Transuranium Isotopes

    Energy Technology Data Exchange (ETDEWEB)

    Sebesta, E.H.

    1978-09-01

    A description of and operating manual for the FACE Automatic Apparatus has been written along with a documentation of the FACE machine operating program, to provide a user manual for the FACE Automatic Apparatus. In addition, FACE machine performance was investigated to improve transuranium throughput. Analysis of the causes of transuranium isotope loss was undertaken both chemical and radioactive. To lower radioactive loss, the dynamics of the most time consuming step of the FACE machine, the chromatographic column output droplet drying and flaming, in preparation of sample for alpha spectroscopy and counting, was investigated. A series of droplets were dried in an experimental apparatus demonstrating that droplets could be dried significantly faster through more intensie heating, enabling the FACE machine cycle to be shortened by 30-60 seconds. Proposals incorporating these ideas were provided for FACE machine development. The 66% chemical loss of product was analyzed and changes were proposed to reduce the radioisotopes product loss. An analysis of the chromatographic column was also provided. All operating steps in the FACE machine are described and analyzed to provide a complete guide, along with the proposals for machine improvement.

  5. 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...

  6. 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.

  7. 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.

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

    International Nuclear Information System (INIS)

    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.

  9. 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.

  10. 基于智能汽车竞赛的自动控制实验创新研究%Research on innovation of automatic control experiments based on Intelligent Car Competition

    Institute of Scientific and Technical Information of China (English)

    杨飞; 吴敏; 谢宜净

    2014-01-01

    In view of the existing problems in the experimental teaching of Automatic Control course , an innovative research on teaching content and teaching mode has been carried out based on the National Undergraduate Intelligent Car Competition platform to improve the quality of experimental teaching . By making use of the competition’ s features such as high attractiveness , practicability and reusability , the contents of experimental teaching have been modified and the mode of experimental teaching has been improved from three aspects .Especially ,a novel teaching method of automatic control experiments has been proposed , combining experimental teaching with competitions and it is proved that this method could play a significant role in improving the quality of experimental teaching and enhancing the comprehensive ability of students .%针对自动控制实验教学中存在的问题,以全国大学生智能汽车竞赛为平台,从实验教学内容和实验教学模式两方面进行创新研究以提升实验教学水平。利用智能小车趣味性高、实用性强和复用性好等特点,有针对性地对实验教学内容进行修改,并从3个层面对实验教学模式进行改进,提出了实验教学与竞赛相结合的自动控制实验教学方法,这对提高实验教学质量和提升学生的综合能力发挥了重要的作用。

  11. Towards the automatic identification of cloudiness condition by means of solar global irradiance measurements

    Science.gov (United States)

    Sanchez, G.; Serrano, A.; Cancillo, M. L.

    2010-09-01

    This study focuses on the design of an automatic algorithm for classification of the cloudiness condition based only on global irradiance measurements. Clouds are a major modulating factor for the Earth radiation budget. They attenuate the solar radiation and control the terrestrial radiation participating in the energy balance. Generally, cloudiness is a limiting factor for the solar radiation reaching the ground, highly contributing to the Earth albedo. Additionally it is the main responsible for the high variability shown by the downward irradiance measured at ground level. Being a major source for the attenuation and high-frequency variability of the solar radiation available for energy purposes in solar power plants, the characterization of the cloudiness condition is of great interest. This importance is even higher in Southern Europe, where very high irradiation values are reached during long periods within the year. Thus, several indexes have been proposed in the literature for the characterization of the cloudiness condition of the sky. Among these indexes, those exclusively involving global irradiance are of special interest since this variable is the most widely available measurement in most radiometric stations. Taking this into account, this study proposes an automatic algorithm for classifying the cloudiness condition of the sky into three categories: cloud-free, partially cloudy and overcast. For that aim, solar global irradiance was measured by Kipp&Zonen CMP11 pyranometer installed on the terrace of the Physics building in the Campus of Badajoz (Spain) of the University of Extremadura. Measurements were recorded at one-minute basis for a period of study extending from 23 November 2009 to 31 March 2010. The algorithm is based on the clearness index kt, which is calculated as the ratio between the solar global downward irradiance measured at ground and the solar downward irradiance at the top of the atmosphere. Since partially cloudy conditions

  12. 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.

  13. 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. PMID:22195225

  14. 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.

  15. 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...... consequences. Since the decision is made quite automatically and only one choice alternative is considered (the habitually chosen one), behaviour guided by habit is difficult to change. The implications of car use habits for converting drivers to commuters using public transportation is analysed based...... on a survey undertaken in the Copenhagen area. The study reveals that a relatively low percentage of drivers (10-20%) consider commuting by public transportation in the near future, which is hardly a surprise. A hierarchical analysis, where reported use of public transportation is regressed on intentions...

  16. 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

  17. 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. PMID:27313114

  18. 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.

  19. Automatic identification of resting state networks: an extended version of multiple template-matching

    Science.gov (United States)

    Guaje, Javier; Molina, Juan; Rudas, Jorge; Demertzi, Athena; Heine, Lizette; Tshibanda, Luaba; Soddu, Andrea; Laureys, Steven; Gómez, Francisco

    2015-12-01

    Functional magnetic resonance imaging in resting state (fMRI-RS) constitutes an informative protocol to investigate several pathological and pharmacological conditions. A common approach to study this data source is through the analysis of changes in the so called resting state networks (RSNs). These networks correspond to well-defined functional entities that have been associated to different low and high brain order functions. RSNs may be characterized by using Independent Component Analysis (ICA). ICA provides a decomposition of the fMRI-RS signal into sources of brain activity, but it lacks of information about the nature of the signal, i.e., if the source is artifactual or not. Recently, a multiple template-matching (MTM) approach was proposed to automatically recognize RSNs in a set of Independent Components (ICs). This method provides valuable information to assess subjects at individual level. Nevertheless, it lacks of a mechanism to quantify how much certainty there is about the existence/absence of each network. This information may be important for the assessment of patients with severely damaged brains, in which RSNs may be greatly affected as a result of the pathological condition. In this work we propose a set of changes to the original MTM that improves the RSNs recognition task and also extends the functionality of the method. The key points of this improvement is a standardization strategy and a modification of method's constraints that adds flexibility to the approach. Additionally, we also introduce an analysis to the trustworthiness measurement of each RSN obtained by using template-matching approach. This analysis consists of a thresholding strategy applied over the computed Goodness-of-Fit (GOF) between the set of templates and the ICs. The proposed method was validated on 2 two independent studies (Baltimore, 23 healthy subjects and Liege, 27 healthy subjects) with different configurations of MTM. Results suggest that the method will provide

  20. Car-to-Car Communication

    OpenAIRE

    Eichler, Stephan; Schroth, Christoph; Eberspächer, Jörg

    2006-01-01

    Car-to-car communication aims at increased driving comfort and safety. Moreover, it changes the role of vehicles from mere transportation means to "smart objects". Despite many R&D activities in the last years, this technology still poses multiple challenges on the wireless transmission and network protocols. Aspects like efficient message dissemination, network scalability, and information security mechanisms are still major research areas in the area of vehicular ad hoc networks. In this pa...

  1. 微型轿车怠速异响噪声源识别%Abnormal noise source identification of mini-car under idle condition

    Institute of Scientific and Technical Information of China (English)

    张晋源; 褚志刚; 杨洋

    2014-01-01

    针对某微型轿车存在的怠速异响噪声,在对车内驾驶员耳旁噪声信号进行频谱分析确定异响噪声频率范围的基础上,运用声强法进行噪声源识别试验,结果表明:进气噪声是1000~1200 Hz 频段的主导异响源,转向助力泵是1950~2050 Hz频段的主导异响源。基于P-I指数的验证结果证明了上述结论的正确性,对改善某微型轿车的声学性能具有一定指导意义。%In order to identify the abnormal noise source of a mini-car under idle condition ,firstly,the frequency spectrum of the noise signal on the side of the driver ’s ear was analyzed and the frequency range of the abnormal noise was determined ,secondly, the noise source identification test based on sound intensity method was conducted .Results show that the intake noise is the domi-nant source in the frequency range of 1 000~1 200 Hz and power steering pump is the dominant noise source in the frequency range of 1 950~2 050Hz.The above results were proved by P-I index,which have important guiding significance on the improve-ment of the car ’ s acoustic performance .

  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. 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.

  4. 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.

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

    Science.gov (United States)

    Mannan, Malik M Naeem; Kim, Shinjung; Jeong, Myung Yung; Kamran, M Ahmad

    2016-01-01

    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. PMID:26907276

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

    Science.gov (United States)

    Mannan, Malik M. Naeem; Kim, Shinjung; Jeong, Myung Yung; Kamran, M. Ahmad

    2016-01-01

    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. PMID:26907276

  7. 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.

  8. AN AUTOMATIC LEAF RECOGNITION SYSTEM FOR PLANT IDENTIFICATION USING MACHINE VISION TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    VIJAY SATTI

    2013-04-01

    Full Text Available Plants are the backbone of all life on Earth and an essential resource for human well-being. Plant recognition is very important in agriculture for the management of plant species whereas botanists can use this application for medicinal purposes. Leaf of different plants have different characteristics which can be used to classify them.This paper presents a simple and computationally efficient method for plant identification using digital image processing and machine vision technology. The proposed approach consists of three phases: pre-processing, feature extraction and classification. Pre- processing is the technique of enhancing data images prior to computational processing. The feature extraction phase derives features based on color and shape of the leaf image. These features are used as inputs to the classifier for efficient classification and the results were tested and compared using Artificial Neural Network (ANN and Euclidean (KNN classifier. The network was trained with 1907 sample leaves of 33 different plant species taken form Flavia dataset. The proposed approach is 93.3 percent accurate using ANN classifier and the comparison of classifiers shows that ANN takes less average time for execution than Euclidean distance method.

  9. 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.

  10. 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。

  11. 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.

  12. 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.

  13. 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

  14. Clean cars

    Energy Technology Data Exchange (ETDEWEB)

    Piffaretti, M.

    2008-07-01

    This well-illustrated presentation made at the Swiss 2008 research conference on traffic by the Protoscar company takes a look at research, design, engineering and communication topics in the area of 'clean cars'. The present situation with electrically driven and hybrid-drive cars is reviewed and the chances and problems of the present-day vehicles are examined. New developments and a number of vehicles that should be on the market in the period from 2012 to 2015 are presented. Also, 'clean' specialist vehicles such as trucks and buses are reviewed. Battery systems and associated problems and new developments are looked at. The promotion scheme in Mendrisio, Switzerland is reviewed. Bottom-up and top-down approaches are discussed and future market developments are looked at, as are promotional activities in various countries.

  15. Dream Car

    Institute of Scientific and Technical Information of China (English)

    庄雅婷

    2010-01-01

    也许你需要一辆天马行空完全按自己心中所设计的车,无论是有太空感还是充满设计性,无论你希望它可以升空还是可以下水,那才是一辆真正的Dream Car!

  16. 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.

  17. 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。

  18. 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.

  19. 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.

  20. 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. PMID:24473345

  1. 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...

  2. 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...

  3. 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.

  4. Empirical identification of perceptual criteria for customer-centred design. Focus on the sound of tapping on the dashboard when exploring a car

    OpenAIRE

    Montignies, François; Nosulenko, Valery,; Parizet, Etienne

    2010-01-01

    International audience This work results from a demand made by a car manufacturer (Renault) relating to a phenomenon whose impact on customer perception is only suspected : the sound of the dashboard when tapped in a show room. To identify which perceptual criteria are really relevant for customer centred design, an empirical observation of customers exploring vehicles was set-up. The operations performed, the perceptions verbalized and the different elements of the vehicle targeted were a...

  5. 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...

  6. 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.

  7. 30 CFR 75.1403-4 - Criteria-Automatic elevators.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Criteria-Automatic elevators. 75.1403-4 Section... Criteria—Automatic elevators. (a) The doors of automatic elevators should be equipped with interlocking switches so arranged that the elevator car will be immovable while any door is opened or unlocked,...

  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. Design of intelligent car hardware system with camera identification function%摄像头识别的智能车硬件系统设计

    Institute of Scientific and Technical Information of China (English)

    冀勇钢; 张彦朋; 郑汉明

    2013-01-01

    The intelligent car has a broad application prospect in the exploration,life⁃saving and other aspects. A hardware design idea is presented because the image recognition intelligent car has no stable operating status. Freescale MC9S12XSl28 mi⁃crocontroller is taken as a core controller of the intelligent car hardware system. The frame of the smart car overall hardware sys⁃tem is designed. The power supply unit circuit,motor driver module,steering gear control circuit diagram of the intelligent vehi⁃cle are offered in this paper. A method to constitute a closed⁃loop feedback system is described by analyzing the path informa⁃tion acquisition,speed of acquisition,and the connection of input and output modules with SCM.%  智能车在探测、救生等方面具有广阔的应用前景,针对图像识别智能车缺乏稳定的运行状况,提出一套完整的硬件设计思路。该系统以飞思卡尔公司的MC9S12XSl28单片机为核心控制器,设计智能车整体硬件系统框架,并详细给出了智能车电源单元电路、电机驱动模块、舵机控制的电路图。通过分析路径信息采集、速度信息采集、以及对输入/输出模块与单片机连接,说明如何构成一个闭环反馈系统。以上硬件系统应用在智能车中得到了稳定的运行。

  10. 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.

  11. 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.

  12. 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...

  13. 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.

  14. 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.

  15. 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.

  16. Connected Car: Quantified Self becomes Quantified Car

    OpenAIRE

    Melanie Swan

    2015-01-01

    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 hel...

  17. 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.

  18. A New Color Facial Identification Feature Extraction Method' and Automatic Identification%一种改进的彩色人脸鉴别特征抽取方法及自动识别

    Institute of Scientific and Technical Information of China (English)

    高燕; 明曙军; 刘永俊

    2011-01-01

    Currently face recognition has made some success, algorithms are constantly being improved. According to the common needs of the average sample solution in traditional linear analysis methods, this paper proposes the face recognition based on intermediate samples. This method can remove the influence of average samples to interference samples. Combined with the color of face recognition, the paper proposes color facial identification feature extraction and automatic identification based on the middle samples. Finally, extensive experiments performed on the international and universal AR standard color face database verify the effectiveness of the proposed method.%针对传统的线性分析方法中都需要的平均样本的共性,提出了基于中间样本的人脸识别.这种方法有效去除了干扰样本对平均样本的影响,并结合彩色人脸识别,提出了基于中间样本的彩色人脸鉴别特征抽取及自动识别方法.最后,在国际通用的AR标准彩色人脸库中进行了大量实验,验证了算法的有效性.

  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. 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. PMID:27237601

  1. 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.

  2. CERN CAR STICKERS

    CERN Multimedia

    Service Accueil et Controle d'Accès; ST Division

    1999-01-01

    In accordance with Operational Circular n¡ 2, paragraph 21, CERN car stickers are to be renewed. The new stickers are now available and will be valid for a year.Youare therefore requested:either to obtain them from the distribution points for new stickers (see below); or to send us the application form below, duly completed, via the internal mail; or to complete the application form directly via the Web at the address: http://cern.ch/registration-stickers. Each vehicle has to carry a sticker and needs a separate application form.Vehicles bearing CERN diplomatic plates (CD07, 431K and CD series) do not need a sticker for access to the CERN areas.Thank you.List of distribution points:Registration Service (bldg 55 1st floor), open from 07h30 to 16h30. Building 33 (entrance hall), open from 08h00 to 18h00. Building 120 (ground floor), outside working hours.Name Surname CERN identification number Vehicle registration plates Country issuing the plates Vehicle ma...

  3. Automatic identification of organ/tissue regions in CT image data for the implementation of patient specific phantoms for treatment planning in cancer therapy

    Science.gov (United States)

    Sparks, Richard Blaine

    In vivo targeted radiotherapy has the potential to be an effective treatment for many types of cancer. Agents which show preferred uptake by cancerous tissue are labeled with radio-nuclides and administered to the patient. The preferred uptake by the cancerous tissue allows for the delivery of therapeutically effective radiation absorbed doses to tumors, while sparing normal tissue. Accurate absorbed dose estimation for targeted radiotherapy would be of great clinical value in a patient's treatment planning. One of the problems with calculating absorbed dose involves the use of geometric mathematical models of the human body for the simulation of the radiation transport. Since many patients differ markedly from these models, errors in the absorbed dose estimation procedure result from using these models. Patient specific models developed using individual patient's anatomical structure would greatly enhance the accuracy of dosimetry calculations. Patient specific anatomy data is available from CT or MRI images, but the very time consuming process of manual organ and tissue identification limits its practicality for routine clinical use. This study uses a statistical classifier to automatically identify organs and tissues from CT image data. In this study, image ``slices'' from thirty- five different subjects at approximately the same anatomical position are used to ``train'' the statistical classifier. Multi-dimensional probability distributions of image characteristics, such as location and intensity, are generated from the training images. Statistical classification rules are then used to identify organs and tissues in five previously unseen images. A variety of pre-processing and post-processing techniques are then employed to enhance the classification procedure. This study demonstrated the promise of statistical classifiers for solving segmentation problems involving human anatomy where there is an underlying pattern of structure. Despite the poor quality of

  4. 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.

  5. Microfluidic CARS cytometry

    OpenAIRE

    Wang, Han-Wei; Bao, Ning; Le, Thuc T.; Lu, Chang; Cheng, Ji-Xin

    2008-01-01

    Coherent anti-stokes Raman scattering (CARS) flow cytometry was demonstrated by combining a laser-scanning CARS microscope with a polydimethylsiloxane (PDMS) based microfluidic device. Line-scanning across the hydrodynamically focused core stream was performed for detection of flowing objects. Parameters were optimized by utilizing polystyrene beads as flowing particles. Population measurements of adipocytes isolated from mouse fat tissues demonstrated the viability of microfluidic CARS cytom...

  6. 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

  7. 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.

  8. 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

  9. 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

  10. FINDING η CAR ANALOGS IN NEARBY GALAXIES USING Spitzer. II. IDENTIFICATION OF AN EMERGING CLASS OF EXTRAGALACTIC SELF-OBSCURED STARS

    Energy Technology Data Exchange (ETDEWEB)

    Khan, Rubab; Kochanek, C. S.; Stanek, K. Z.; Gerke, Jill, E-mail: ckochanek@astronomy.ohio-state.edu [Department of Astronomy, The Ohio State University, 140 West 18th Avenue, Columbus, OH 43210 (United States)

    2015-02-01

    Understanding the late-stage evolution of the most massive stars such as η Carinae is challenging because no true analogs of η Car have been clearly identified in the Milky Way or other galaxies. In Khan et al., we utilized Spitzer IRAC images of 7 nearby (≲ 4 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 η Car, which implies an eruption rate that is a fraction 0.01 ≲ F ≲ 0.19 of the core-collapse supernova (ccSN) rate. This is roughly consistent with each M {sub ZAMS} ≳ 70 M {sub ☉} star undergoing one or two outbursts in its lifetime. However, we do identify a significant population of 18 lower luminosity (log (L/L {sub ☉}) ≅ 5.5-6.0) dusty stars. Stars enter this phase at a rate that is a fraction 0.09 ≲ F ≲ 0.55 of the ccSN rate, and this is consistent with all 25 < M {sub ZAMS} < 60 M {sub ☉} stars undergoing an obscured phase at most lasting a few thousand years once or twice. These phases constitute a negligible fraction of post-main-sequence lifetimes of massive stars, which implies that these events are likely to be associated with special periods in the evolution of the stars. The mass of the obscuring material is of order ∼M {sub ☉}, and we simply do not find enough heavily obscured stars for theses phases to represent more than a modest fraction (∼10% not ∼50%) of the total mass lost by these stars. In the long term, the sources that we identified will be prime candidates for detailed physical analysis with the James Webb Space Telescope.

  11. 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

  12. 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.…

  13. 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.

  14. 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.

  15. 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)

  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. Automatic Number Plate Recognition System

    OpenAIRE

    Rajshree Dhruw; Dharmendra Roy

    2014-01-01

    Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. The objective is to design an efficient automatic authorized vehicle identification system by using the Indian vehicle number plate. In this paper we discus different methodology for number plate localization, character segmentation & recognition of the number plate. The system is mainly applicable for non standard Indian number plates by recognizing...

  18. 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...

  19. 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)

  20. CAR: no longer forgotten?

    Directory of Open Access Journals (Sweden)

    Toby Lanzer

    2007-07-01

    Full Text Available The international community is waking up to the strategic importance of the Central African Republic (CAR in the crisis over Darfur. Will current interest endure long enough to help the people of CARCAR beyond the immediate future?

  1. 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.

  2. Competition and Car Longevity

    OpenAIRE

    Macauley, Molly; Hamilton, Bruce

    1998-01-01

    We examine determinants of the nearly 30 percent increase in the average age of domestically produced, registered automobiles since the mid-1960s. We find that very little of the increase in car longevity is attributable to improvements in the inherent durability of cars. Rather, we find that the temporal pattern of longevity improvement is highly correlated with the level of market concentration in the auto industry. In particular, we argue that the arrival of competition in the industry led...

  3. Composing for Cars

    OpenAIRE

    Parkinson, Adam; Tanaka, Atau

    2013-01-01

    The authors report on composing a piece for RoadMusic, an interactive music project which generates and manipulates music for the passengers and driver in a car, using sensor information gathered from the surroundings and from the movements of the car. We present a literature review which brings together related works in the diverse fields of Automotive UI, musical mappings, generative music and sonification. We then describe our strategies for composing for this novel system, and the uni...

  4. Attention-Grabbing Train Car Advertisements

    Directory of Open Access Journals (Sweden)

    Motoi Ogura,

    2014-01-01

    Full Text Available Younger people have changed the way they access information in recent years, increasing the number of opportunities to take advantage of transit advertising. Train car advertising in particular boasts a high contact rate and extended length of contact. This study seeks to understand the correlations between passenger information and riding conditions when it comes to train car advertising (hanging posters, above-window posters, and sticker ads in order to discover the ideal way to advertise inside passenger trains. Specifically, the study first tries to find the correlations among three factors: (1 whether or not passengers pay attention to train car advertisements, (2 basic passenger information (age and gender, and (3 riding conditions (riding time, average number of trips, etc.. Once data on riding conditions is collected, it is then grouped using a cluster analysis and Quantification Theory Type III in order to establish the relationship of the data to passenger attention towards train advertisements once again. Then, in order to conduct an in-depth analysis, a Categorical Automatic Interaction Detector (CAID analysis is done on each group, using passengers pay attention to train advertisements as the objective variable and basic passenger information as the explanatory variable. The results of the CAID analysis are then used to study the format of existing and future train car advertisements.

  5. 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.

  6. 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.

  7. Car use within the household

    DEFF Research Database (Denmark)

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

    2013-01-01

    In this paper we study the demand for car kilometres in two-car households, focusing on the substitution between cars in response to fuel price changes. We use a large sample of detailed Danish data on two-car households to estimate—for each car owned by the household—own and cross-price effects...... of increases in fuel costs per kilometre. The empirical results show that failure to capture substitution between cars within the household can result in substantial misspecification biases. Ignoring substitution, we estimate fuel price elasticities of –0.81 and -0.65 for the primary and secondary cars...... 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...

  8. 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.

  9. 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

  10. Automatic segmentation of diatom images for classification

    NARCIS (Netherlands)

    Jalba, Andrei C.; Wilkinson, Michael H.F.; Roerdink, Jos B.T.M.

    2004-01-01

    A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical first step in contour-based methods for automatic identification of diatoms by computerized image analysis. We review existing results, adapt popular segmentation methods to this difficult p

  11. 基于图像的昆虫自动识别与计数研究进展%Progress in Research on Digital Image Processing Technology for Automatic Insect Identification and Counting

    Institute of Scientific and Technical Information of China (English)

    姚青; 吕军; 杨保军; 薛杰; 郑宏海; 唐健

    2011-01-01

    As the rapid development of information technology, digitization, precision and intelligence are important characteristics for modem agriculture and automatic identification and counting of agricultural insects has become a hot research topic. Main methods and applications for automatic insect identification and counting by image processing technology were reviewed. The advantages and disadvantages of these methods were compared and the relevant problems and prospect were also discussed.%随着计算机技术的快速发展,现代农业逐步走向数字化、精准化和智能化,昆虫自动识别和计数成为国内外研究的热点.论文综述了国内外基于图像的昆虫自动识别与计数技术研究的主要方法和应用,概述了各种方法的原理,比较了它们的优缺点,最后讨论了存在的问题及研究展望.

  12. 钢管焊缝超声自动检测系统能力的鉴定%Identification for the Ability of Steel Pipe Weld Automatic Ultrasonic Testing System

    Institute of Scientific and Technical Information of China (English)

    甘正红; 方晓东; 余洋; 苏继权

    2013-01-01

    In this article, it introduced the main contents to be detected in multichannel steel pipe weld automatic ultrasonic testing system, calibration method to detecting system(equipment), and service conditions of detecting system . Combined with steel pipe weld automatic ultrasonic testing requirements specified in API SPEC 5L/IS0 3183 standard, it discussed the main properties and identification method of multichannel steel pipe weld automatic ultrasonic testing system, provided specific requirements for linearity, horizontal linearity, dynamic range, comprehensive property and others. The feasibility of identification ability was proved through actual application.%介绍了多通道钢管焊缝超声波自动检测系统待检测的主要内容、对检测系统(设备)进行校准的方法以及检测系统的使用条件.结合API SPEC 5L/ISO 3183标准对钢管焊缝超声自动检测的要求,探讨了多通道钢管焊缝超声波自动检测系统的主要性能指标及鉴定方法,给出了主要性能指标如直线性和水平线性、动态范围、综合性能等的具体要求.并通过实际应用表明了鉴定能力的可行性.

  13. 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。

  14. The market for gasoline cars and diesel cars

    International Nuclear Information System (INIS)

    In Europe the tax tariff is much lower for diesel fuel than for gasoline. This benefit is used by manufacturers to increase the price of diesel-fueled cars, which limits the possibility to control the use of diesel cars by means of a fiscal policy (tax incidence). Attention is paid to the impact of fiscal advantages for diesel cars on the purchasing behavior of the consumer and the pricing policy (price discrimination) of the car manufacturers. 1 ref

  15. 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.

  16. 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

  17. French Professional Car Language

    OpenAIRE

    Veslav Kuranovič

    2011-01-01

    In this scientific article is presented french professional car language, also it is analysed a problem of teaching professional language at the technical university. It is presented lot of methods which help student to acquire language skills and also it is presented importance of dialog between student and teacher. Psychology and pedagogy are 2 sciences strong related in teacher’s work.

  18. 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…

  19. 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.

  20. 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

  1. 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

  2. Automatic checking system of radioactivity in motor-cars 'AKKORD'

    International Nuclear Information System (INIS)

    A monitoring device has been developed for an automated checking of all vehicles leaving or entering a nuclear installation against uncontrolled lost of radioactive material. This device is an excellent tool for radioactive material flow control. (orig.)

  3. 21 CFR 892.1900 - Automatic radiographic film processor.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Automatic radiographic film processor. 892.1900... (CONTINUED) MEDICAL DEVICES RADIOLOGY DEVICES Diagnostic Devices § 892.1900 Automatic radiographic film processor. (a) Identification. An automatic radiographic film processor is a device intended to be used...

  4. 7.63 m捣固焦炉配套焦罐车的设计%The Design of 7.63 m Hot Coke Buskets Car for 7.63 Meters of Tamping Coke Oven

    Institute of Scientific and Technical Information of China (English)

    宫文龙; 左强

    2014-01-01

    7.63 meters hot coke buskets car is one of the key dry quenching machine for 7.63 m series of tamping coke oven ,is the first largest domestic tamping tank car ,use the advanced technology such as oven number identification ,automatic registra‐tion ,and successfully built a tamping coke oven with environmental protection machinery and equipment .%7.63 m捣固焦炉配套焦罐车是为7.63 m捣固系列焦炉配套的干熄焦机械之一,是国内首台最大的捣固焦罐车,采用炉号识别、自动对位等先进技术,成功地打造了又一捣固焦炉用的环保型机械设备。

  5. New developments in clinical CARS

    Science.gov (United States)

    Weinigel, Martin; Breunig, Hans Georg; Kellner-Höfer, Marcel; Bückle, Rainer; Darvin, Maxim; Lademann, Juergen; König, Karsten

    2013-02-01

    We combined two-photon fluorescence and coherent anti-Stokes Raman scattering (CARS) imaging in a clinical hybrid multiphoton tomograph for in vivo imaging of human skin. The clinically approved TPEF/CARS system provides simultaneous imaging of endogenous fluorophores and non-fluorescent lipids. The Stokes laser for the two-beam configuration of CARS is based on spectral broadening of femtosecond laser pulses in a photonic crystal fiber (PCF). We report on the highly flexible medical TPEF/CARS tomograph MPTflex®-CARS with an articulated arm and first in vivo measurements on human skin.

  6. CERN car stickers 2005

    CERN Multimedia

    Reception and Access Control Service - TS Department

    2004-01-01

    Please note that the car stickers for 2005 are now available. If you have not received the new one by internal mail, you should go along in person to the Registration Service (bldg. 55 - 1st floor), open non-stop from 7:30 to 16:30, taking with you your 2004 sticker and the log-book of your vehicle. Thank you for your collaboration. Reception and Access Control Service - TS Department.

  7. 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.

  8. The benefits of "sleeping on things": Unconscious thought leads to automatic weighting

    NARCIS (Netherlands)

    Bos, M.W.; Dijksterhuis, A.J.; Baaren, R.B. van

    2011-01-01

    We tested and confirmed the hypothesis that unconscious thought leads to an automatic weighting process whereby important decision attributes receive more weight, and unimportant decision attributes receive less weight. In three experiments, participants chose between cars with few important positiv

  9. Electric Power Controller for Steering Wheel Management in Electric Cars

    OpenAIRE

    Milanés, Vicente; Pérez Rastelli, Joshué; Onieva, Enrique; González, Carlos; Pedro, Teresa de

    2009-01-01

    International audience Driverless driving is one of the most interesting topics in the field of the intelligent transportation systems. Among these topics, the automation of the actuators involved in the management of a car, and out of them the control of the steering wheel constitute one of the most complex. In this paper, automatic power steering architecture to manage the steering wheel via Ethernet controller is developed. An on-board PC is connected to the controller to permit handlin...

  10. 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.

  11. Automatic operation systems for the coke oven top; Cokes ro rojo sagyo no jidoka tachiage jokyo

    Energy Technology Data Exchange (ETDEWEB)

    Saji, T.; Kitayama, Y. [Sumitomo Metal Industries, Ltd., Osaka (Japan)

    1994-10-13

    This paper describes an outline of automatic operation on the coke oven top, which has been conducted at the Kashima Steel Works, Sumitomo Metal Industries, Ltd. For the automatic operation on the oven top, unmanned operation of the charging car, mechanization of works on the oven top, centralized control, and simplification of the system were introduced. This automatic system consists of the charging car, central station, charging car station, and quenching car automation system. For the automatic travel motion control, braking by the electric regenerative brake and disk brake was adopted. The oven center standing control is carried out by using the position and distance information of interlock cable and the oven center sensor. Standing accuracy of the oven center of charging car was designed to be up to {plus_minus}10 mm. High detection accuracy can be obtained through the optical cutting image processing. The carbon removing apparatus for inlet port, oven top cleaner dust treatment apparatus, and charging level measurement apparatus were added to the charging car, which were required for the automatic operation on the oven top. As a result, the automatic ratio more than 99% could be achieved. 6 figs., 4 tabs.

  12. Multiplex rotational CARS of nitrogen, oxygen and carbon monoxide with excimer pumped dye lasers: species identification and thermometry in the intermediate temperature range with high temporal and spatial resolution

    OpenAIRE

    Dick, Bernhard; Gierulski, A.

    1986-01-01

    Pure rotational CARS spectra of N2, O2, air, and CO were obtained using excimer laser-pumped dye-lasers. The combination of the folded BOXCARS phase matching geometry with the broad-band laser multiplex method allowed high spatial and temporal resoln. Species and concn. anal. as well as thermometry up to 700 K were demonstrated, and possible applications are discussed.

  13. 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.

  14. Car monitoring information systems

    Directory of Open Access Journals (Sweden)

    Alica KALAŠOVÁ

    2008-01-01

    Full Text Available The objective of this contribution is to characterize alternatives of information systems used for managing, processing and evaluation of information related to company vehicles. Especially we focus on logging, transferring and processing of on-road vehicle movement information in inland and international transportation. This segment of company information system has to monitor the car movement – actively or passively – according to demand of the company and after the processing it has to evaluate and give the complex monitoring of a situation of all the company vehicles to the controller.

  15. Car stickers for 2010

    CERN Document Server

    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

  16. 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.

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

    OpenAIRE

    Florian Eyben; Martin Wöllmer; Tony Poitschke; Björn Schuller; Christoph Blaschke; Berthold Färber; Nhu Nguyen-Thien

    2010-01-01

    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...

  18. 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.

  19. 基于CCD传感器的自动识别路径的智能车设计%Smart Car Design of Automatic Identification Path Based on CCD Sensor

    Institute of Scientific and Technical Information of China (English)

    梁伟; 谢启天; 周超; 曾勇

    2011-01-01

    智能车系统以MC9S 12XS128单片机为控制核心,以CCD传感器作为路径识别装置.对智能车自动寻线控制系统的软、硬件等进行了设计.测试结果表明,智能车能准确、快速、稳定地跟踪引导线.

  20. Automatic personnel contamination monitor

    International Nuclear Information System (INIS)

    United Nuclear Industries, Inc. (UNI) has developed an automatic personnel contamination monitor (APCM), which uniquely combines the design features of both portal and hand and shoe monitors. In addition, this prototype system also has a number of new features, including: micro computer control and readout, nineteen large area gas flow detectors, real-time background compensation, self-checking for system failures, and card reader identification and control. UNI's experience in operating the Hanford N Reactor, located in Richland, Washington, has shown the necessity of automatically monitoring plant personnel for contamination after they have passed through the procedurally controlled radiation zones. This final check ensures that each radiation zone worker has been properly checked before leaving company controlled boundaries. Investigation of the commercially available portal and hand and shoe monitors indicated that they did not have the sensitivity or sophistication required for UNI's application, therefore, a development program was initiated, resulting in the subject monitor. Field testing shows good sensitivity to personnel contamination with the majority of alarms showing contaminants on clothing, face and head areas. In general, the APCM has sensitivity comparable to portal survey instrumentation. The inherit stand-in, walk-on feature of the APCM not only makes it easy to use, but makes it difficult to bypass. (author)

  1. 49 CFR 174.615 - Cleaning cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Cleaning cars. 174.615 Section 174.615... Requirements for Division 6.1 (Poisonous) Materials § 174.615 Cleaning cars. (a) (b) After Division 6.1 (poisonous) materials are unloaded from a rail car, that car must be thoroughly cleaned unless the car...

  2. 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.

  3. When Do Luxury Cars Hit the Road? Findings by A Big Data Approach

    OpenAIRE

    Feng, Yang; Luo, Jiebo

    2016-01-01

    In this paper, we focus on studying the appearing time of different kinds of cars on the road. This information will enable us to infer the life style of the car owners. The results can further be used to guide marketing towards car owners. Conventionally, this kind of study is carried out by sending out questionnaires, which is limited in scale and diversity. To solve this problem, we propose a fully automatic method to carry out this study. Our study is based on publicly available surveilla...

  4. SU-E-J-182: A Feasibility Study Evaluating Automatic Identification of Gross Tumor Volume for Breast Cancer Radiotherapy Using Dynamic Contrast-Enhanced MR Imaging

    Energy Technology Data Exchange (ETDEWEB)

    Wang, C; Horton, J; Yin, F; Blitzblau, R; Palta, M; Chang, Z [Duke University Medical Center, Durham, NC (United States)

    2014-06-01

    Purpose: To develop a computerized pharmacokinetic model-free Gross Tumor Volume (GTV) segmentation method based on dynamic contrastenhanced MRI (DCE-MRI) data that can improve physician GTV contouring efficiency. Methods: 12 patients with biopsy-proven early stage breast cancer with post-contrast enhanced DCE-MRI images were analyzed in this study. A fuzzy c-means (FCM) clustering-based method was applied to segment 3D GTV from pre-operative DCE-MRI data. A region of interest (ROI) is selected by a clinician/physicist, and the normalized signal evolution curves were calculated by dividing the signal intensity enhancement value at each voxel by the pre-contrast signal intensity value at the corresponding voxel. Three semi-quantitative metrics were analyzed based on normalized signal evolution curves: initial Area Under signal evolution Curve (iAUC), Immediate Enhancement Ratio (IER), and Variance of Enhancement Slope (VES). The FCM algorithm wass applied to partition ROI voxels into GTV voxels and non-GTV voxels by using three analyzed metrics. The partition map for the smaller cluster is then generated and binarized with an automatically calculated threshold. To reduce spurious structures resulting from background, a labeling operation was performed to keep the largest three-dimensional connected component as the identified target. Basic morphological operations including hole-filling and spur removal were useutilized to improve the target smoothness. Each segmented GTV was compared to that drawn by experienced radiation oncologists. An agreement index was proposed to quantify the overlap between the GTVs identified using two approaches and a thershold value of 0.4 is regarded as acceptable. Results: The GTVs identified by the proposed method were overlapped with the ones drawn by radiation oncologists in all cases, and in 10 out of 12 cases, the agreement indices were above the threshold of 0.4. Conclusion: The proposed automatic segmentation method was shown to

  5. 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

  6. Energy Use of Passenger Cars

    DEFF Research Database (Denmark)

    Jørgensen, Kaj

    1998-01-01

    Analysis of the Danish sale and stock of passenger cars, focusing particularly on aspects influencing energy use. The project has tracked the development of vehicle weight, power and fuel economy for both the sale of new cars (from 1980 to 1997)and the stock. In addition, the energy use...

  7. Panorama 2014 - Car-sharing

    International Nuclear Information System (INIS)

    Car-sharing is a new mode of transportation that consists of multiple users sharing the same vehicle. This type of service is expanding with the arrival of larger players, such as traditional car rental companies, automotive manufacturers, and large firms specializing in transportation. This new mode of transportation offers real potential and is currently finding its users, in France and worldwide. (author)

  8. 被淹没地震信号的小波熵检测与自动识别方法%METHOD OF DETECTION BY WAVELET ENTROPY AND IDENTIFICATION AUTOMATICALLY FOR SUBMERGED SEISMIC SIGNAL

    Institute of Scientific and Technical Information of China (English)

    杨建平; 帅晓勇; 陶黄林

    2015-01-01

    In order to detect the micro-seismic before large earthquake, protect the important facilities, such as the large coal, oil, mine and so on. It’s an urgent need for seismic data processing technique, such as real-time process, recognize automatically and extract the submerged seismic onset point. A multi-resolution complexity parameter was acquired based on the wavelet transform and the theory of information entropy, the parameter can clearly shows the change in the exploration data from the arrivals of seismic waves. A simulation was done with the exploration data, Comparison of the monitoring effect of wavelet transform or digital band-pass filter, the results show that the parameter can be very good at the micro seismic onset point for automatic identification.%为探测大震前的微震,保护大型煤矿、油田和矿山等重要设施,急需地震信号的实时处理、自动识别和提取地震初至点等地震数据处理技术。采用了小波变换和信息熵理论相结合的一种具有多分辨率的复杂度参数——小波熵,该参数能够从被淹没环境中清晰地显示出勘探数据中地震波到达所带来的变化。结合实测数据进行了仿真,并对比了单一的小波变换、数字带通滤波器的监测效果,结果表明小波熵参数能够更好地自动识别微震初至点。

  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. 49 CFR 1247.1 - Annual Report of Cars Loaded and Cars Terminated.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 9 2010-10-01 2010-10-01 false Annual Report of Cars Loaded and Cars Terminated... TRANSPORTATION BOARD, DEPARTMENT OF TRANSPORTATION (CONTINUED) ACCOUNTS, RECORDS AND REPORTS REPORT OF CARS LOADED AND CARS TERMINATED § 1247.1 Annual Report of Cars Loaded and Cars Terminated. Beginning with...

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. Clinical multiphoton and CARS microscopy

    Science.gov (United States)

    Breunig, H. G.; Weinigel, M.; Darvin, M. E.; Lademann, J.; König, K.

    2012-03-01

    We report on clinical CARS imaging of human skin in vivo with the certified hybrid multiphoton tomograph CARSDermaInspect. The CARS-DermaInspect provides simultaneous imaging of non-fluorescent intradermal lipid and water as well as imaging of two-photon excited fluorescence from intrinsic molecules. Two different excitation schemes for CARS imaging have been realized: In the first setup, a combination of fs oscillator and optical parametric oscillator provided fs-CARS pump and Stokes pulses, respectively. In the second setup a fs oscillator was combined with a photonic crystal fiber which provided a broadband spectrum. A spectral range out of the broadband-spectrum was selected and used for CARS excitation in combination with the residual fs-oscillator output. In both setups, in addition to CARS, single-beam excitation was used for imaging of two-photon excited fluorescence and second harmonic generation signals. Both CARS-excitation systems were successfully used for imaging of lipids inside the skin in vivo.

  16. 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.

  17. 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

  18. 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。

  19. 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

  20. Future cars: the electric option

    OpenAIRE

    Shukla, AK; Avery, NR; Muddle, BC

    1999-01-01

    Global economic, environmental and political issues are pushing car manufacturers to consider electric power systems as an alternative to the current spark ignition engine. In this article, we analyse the power and energy requirements of a modern car and conclude that a viable electric car could be operated with a 50 kW polymer electrolyte fuel cell (PEFC) stack to provide power for cruising and climbing, coupled in parallel with a 30 kW supercapacitor or battery bank to supply additional sho...

  1. 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&...

  2. 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

  3. Plastic cars for developing nations

    Energy Technology Data Exchange (ETDEWEB)

    Ashley, S.

    1997-11-01

    Plastic automobiles may have passed a milestone on the long road to commercial reality with the development of Composite Concept Vehicle (CCV) from Chrysler Corp. in Auburn Hills, Mich. This basic compact car--so basic it could be called bare bones--is built by attaching an injection-molded thermoplastic polyester body onto a tubular steel chassis. The 1,200-pound CCV, which is expected to require one-third the labor and investment needed to build a conventional small car, was designed for new buyers in the emerging economies of China, India, and Southeast Asia. If commercialized, the car would likely cost about $6,000--halfway between a motorcycle and an entry-level auto. The small car was unveiled in September 1996 at the Frankfurt Auto Show in Germany.

  4. 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.

  5. Cars Are Hot in Beijing

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    MANY Chinese have long dreamedabout the joy of driving. However, in thepast only professional drivers had theopportunity as most cars were stateowned and it was too expensive forindividuals to buy their own.

  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. 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

  8. 49 CFR 231.6 - Flat cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Flat cars. 231.6 Section 231.6 Transportation... TRANSPORTATION RAILROAD SAFETY APPLIANCE STANDARDS § 231.6 Flat cars. (Cars with sides 12 inches or less above the floor may be equipped the same as flat cars.) (a) Hand brakes—(1) Number. Same as specified...

  9. 49 CFR 1037.2 - Cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 8 2010-10-01 2010-10-01 false Cars. 1037.2 Section 1037.2 Transportation Other... GENERAL RULES AND REGULATIONS BULK GRAIN AND GRAIN PRODUCTS-LOSS AND DAMAGE CLAIMS § 1037.2 Cars. A car is... railroad-leased cars....

  10. 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…

  11. 49 CFR 215.203 - Restricted cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Restricted cars. 215.203 Section 215.203..., DEPARTMENT OF TRANSPORTATION RAILROAD FREIGHT CAR SAFETY STANDARDS Restricted Equipment § 215.203 Restricted cars. (a) This section restricts the operation of any railroad freight car that is— (1) More than...

  12. 21 CFR 870.5925 - Automatic rotating tourniquet.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Automatic rotating tourniquet. 870.5925 Section 870.5925 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES... rotating tourniquet. (a) Identification. An automatic rotating tourniquet is a device that prevents...

  13. Automatic determination of total alkalinity based on image identification technology%基于图像识别技术的总碱度自动测定方法

    Institute of Scientific and Technical Information of China (English)

    秦玉华; 王东兵; 张海燕; 欧佳; 徐志明

    2011-01-01

    提出了一种基于图像识别技术的水中总碱度的自动测量方法及装置.以盐酸为滴定剂,溴甲酚绿为指示剂,根据酸碱中和原理,利用等当点时溶液R、G、B值的突跃确定滴定终点,从而测出水中总碱度.实验结果表明,该方法测量碱度的线性范围为0.2~40 mmoL/L,相对标准偏差为0.43%,加标回收率为96.4%~102.6%.用于工业循环冷却水中总碱度的测定,具有操作简便、准确度高的特点,可实现碱度的自动测量.%A new automatic measuring method and device of alkalinity in water based on image identification technology are proposed in this paper. Based on the principles of acid-base titration, hydrochloric acid is used as the titrant and bromcresol green as the indicator, the equivalent point of titration is identified by a RGB-based value that is calculated using a proposed procedure based on red, green and blue color system; and the total alkalinity of the water can be measured. Experimental results show that the linear range of alkalinity detection ranks is from 0.2 to 40 mmol/L. This method gives a reproducibility of 0.43% R. S. D and a recovery rate of 96.4% -102. 6% . This method has the advantage of simplicity and accuracy when applied in total alkalinity measurement of industrial circulating cooling water. The automatic measurement of alkalinity can be achieved.

  14. 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。

  15. 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

  16. 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...

  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. 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.

  19. Substitution between Cars within the Household

    DEFF Research Database (Denmark)

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

    In this paper we study the demand for car kilometres in two-car households, focusing on the substitution between cars in response to fuel price changes. We use a large sample of detailed Danish data on two-car households to estimate—for each car owned by the household—own and cross-price effects...... of increases in fuel costs per kilometre. The empirical results show that failure to capture substitution between cars within the household can result in substantial misspecification biases. Ignoring substitution, we estimate fuel price elasticities of –0.81 and -0.65 for the primary and secondary cars...... 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...

  20. One smart card, one less car

    Energy Technology Data Exchange (ETDEWEB)

    Fenton, B.

    2003-06-30

    A system of car-sharing in Bremen, Germany, a membership-based structure of car-sharing that gives members access to a network of cars stationed throughout the city on a pay-per-trip basis, and without the hassles of car ownership, is discussed. The car-sharing scheme is combined with the city's transit system by means of a smart card that serves both as a pass for the city's transit system and as an electronic key to the cars in the car-sharing system. Future plans include to use the card also as a method of payment for taxis, and organizers are also working with the municipal government to get support for having car-sharing included in the city's official plan. At present, car-sharing stations are simply reserved parking spots for one or more cars, however, future stations are envisaged to include parking for up to five cars, a computer to book cars, direct access to keys using the smart card, parking for bicycles, and information about car-sharing stations, bus, trams, as well as bike and walking routes. Similar, if somewhat more modest, car-sharing schemes are also available in several cities in Canada, including Halifax, Quebec City, Montreal, Toronto, Calgary, Edmonton and Vancouver.

  1. Substitution between cars within the household

    DEFF Research Database (Denmark)

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

    The purpose of this paper is to study to what extent two-car households substitute the use of their less fuel efficient car by the use of their more fuel efficient car after an increase in fuel prices. Based on a simple theoretical framework we use a large sample of detailed Danish data on two-car...... households to estimate, for each car owned by the household, own and cross-price effects of increases in fuel costs per kilometer. The empirical results point at important substitution effects, so that models that estimate responses to fuel prices on the implicit or explicit assumption of one car per...

  2. Using FMI Extension IPG CarMaker%利用FMI适配部件扩展IPG CarMaker

    Institute of Scientific and Technical Information of China (English)

    王强

    2012-01-01

    通过使用接口FMI(功能模型接口)能够在虚拟测试驾驶模拟器IPG CarMaker中利用到Modelica的复杂物理系统建模功能。在需要各种不同复杂性模型时,可用于详细研究各种车辆性能及环形测试台中的硬件。IPGCarMaker配备有一种接口,利用FMI,该接口几乎可以用任意外部组件模型扩展车辆模型。FMI提供两种部件,在IPG CarMaker中可以平衡计算性能和数字的耐久性。FMI提供的附加模型信息则用于外部模型的自动一体化和计算结果的配置。%Using FMI(interface function model) in the virtual test driving simulator IPG CarMaker using Modelica complex physical system modeling ability.In need of various complexity model,can be used for detailed study of various vehicle performance and ring test platform hardware.IPG CarMaker is equipped with an interface,the use of FMI,the interface can use almost any external component model extended model of vehicle.The FMI provides two kinds of parts,in the IPG CarMaker can balance performance and digital durability.FMI provides additional information for the external model automatic integration and calculation results of the configuration.

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

    International Nuclear Information System (INIS)

    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

  4. 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.

  5. Car car cars:车库梦想

    Institute of Scientific and Technical Information of China (English)

    2014-01-01

    在曾经关于南京摇滚大集合的专题中我们介绍过这支年轻而有趣的乐队,当时他们刚刚开始,最令人印象深刻是男吉他+女鼓手的车库摇滚乐队配置,今年,他们在近一年的辗转与坚持中,越来越多地参与到南京、北京和更多城市的演出中,同时独立发行了乐队的首张同名EP。Car Car Cars的名字和他们热衷的车库风格鲜明地联系在一起,而除了对于风格上的暗示,这个名字与他们最初组建时一直在一间废弃的驾校模拟器教室排练有很大关系。“里面有很多那种模驾练习机嘛,当时就想取一个和“车”有关的乐队名字应该很酷,就叫CAR CAR CARS吧!”酷的不只有名字,Car Car Cars由兄妹二人组成,主唱兼吉他手小汤是年轻的哥哥。鼓手是漂亮的妹妹,这种无意间造就的话题性让人有意无意地联系统The White Stripes。除了外型、配置上的天生抢眼,Car Car Cars这一年中的数场演出,也展示了他们凌厉的台风与属于车库的狂野,首张EP一上来就使用了同期录音的方式,展示了很多惊喜,虽然也不可避免地了一些些遗憾。在进一步的发展中。克服了创作、表现力的一些进阶困难之后,Car Car Cars完全有实力为风格趋于过份统一的国内年轻摇滚圈添上与众不同的一笔。

  6. 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.

  7. 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

  8. 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.

  9. 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

  10. 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…

  11. 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

  12. Passenger car market encountered depression

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>Passenger vehicle registrations in April-typically one of the hot seasons for passenger vehicle registrations-showed a poor performance in 2008. All the body types saw low growth for the second time this year except SUVs. The Passenger car market (including sedan, hatchback, coupe, roadster

  13. 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.

  14. 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.

  15. Automatic input rectification

    OpenAIRE

    Long, Fan; Ganesh, Vijay; Carbin, Michael James; Sidiroglou, Stelios; Rinard, Martin

    2012-01-01

    We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. When given an atypical input that does not satisfy these constraints, SOAP automatically rectifies the input (i.e., changes the input so that it satisfies the learned constraints). The goal is to automatically convert potentially dangerous inputs into typical inputs that the ...

  16. 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.

  17. 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.

  18. 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.

  19. ANALYSIS OF MODERN CAR BODY STRAIGHTENING METHODS

    Directory of Open Access Journals (Sweden)

    Arhun, Sch.

    2013-01-01

    Full Text Available The analysis of modern car body panels straightening methods is carried out. There have been described both traditional and alternative methods of car body panels straightening. The urgency of magnetic pulse teсhnology dignment is grounded. The main advantages of magnetic pulse teсhno-logy of car body straightening are defernined.

  20. 49 CFR 174.57 - Cleaning cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Cleaning cars. 174.57 Section 174.57... and Loading Requirements § 174.57 Cleaning cars. All hazardous material which has leaked from a package in any rail car or on other railroad property must be carefully removed....

  1. 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

  2. Experimental research on nozzle device in mixed waste plastic automatic identification separator%废旧混合塑料自动识别分选机喷嘴装置实验研究

    Institute of Scientific and Technical Information of China (English)

    胡彪; 王树桐; 李健毅; 于立云; 汤桂兰; 张毅民

    2013-01-01

    In order to determine mixing plastic automatic identification separators best nozzle shape, firstly, analysising output pressure is the key to sorting plastic and we should calculate the minimum output pressure. Then discuss the influence of the output pressure of relevant parameters, through the calculation and simulation that the input and the output pressure attenuation degree, preliminary estimate input pressure and then through the experiment to get the date of output pressure with nozzle diameter and length change under the same input pressure, using the method of correlation factor summary to draw the diameter of the relationship between the output pressure and length of tubes. Based on the ahove, we analysis the curve rely on experimental data by fitting method to select the best nozzle parameters. In the end we measure its jet range and give the specific nozzle distribution scheme.%为确定废旧混合塑料自动识别分选机上喷嘴的最佳形状,我们首先分析得出输出压强是分选塑料的关键,并计算出最小输出压强.然后讨论影响输出压强的相关参数,通过计算和模拟得出输出压强相对输入压强的衰减程度,初步估算输入压强.然后通过实验获取相同输入压强下输出压强随喷嘴直径及管长变化的数据,用相关系数法总结绘制出直径和管长与输出压强的关系曲线.对实验数据进行拟合度分析,选取最佳的喷嘴参数.最后对其喷射范围进行测量,给出具体的喷嘴分布方案.

  3. 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.

  4. Entwurfskonzept einer Car2Car-Multiband-Dachantenne

    Science.gov (United States)

    Wang, Y.; Reit, M.; Mathis, W.

    2012-09-01

    Due to the vastly increasing use of wireless services in the car, such as WiFi, Car2Car and LTE, the requirements on bandwidth and radiation pattern of the roof antenna systems become more challenging. In this work, a design concept for multi-band roof antenna systems is presented. We aim to get a higher bandwidth and an almost circular radiation pattern on the horizontal plane. Moreover, the antenna length is considered in order to fulfill the requirements set by construction ECE-regulations (ECE, 2010). The applicability of the design concept is not limited to multi-band roof antennas, it can also be used for a general wideband antenna design. For illustration of this concept, a multi-band roof antenna with a bandwidth of 780 MHz to 5.9 GHz and a near circular radiation pattern with an average gain of G = 3 dBi (at 5.9 GHz) on the horizontal plane is designed. The simulation and measurement results are presented.

  5. 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.

  6. 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.

  7. 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...

  8. Substitution between cars within the household

    DEFF Research Database (Denmark)

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

    2016-01-01

    In this paper we study the demand for car kilometres in two-car households, focusing on the substitution between cars of different fuel efficiency in response to fuel price changes. We use a large sample of detailed Danish data on two-car households to estimate – for each car owned by the household...... – own and cross-price effects of increases in fuel costs per kilometre. The empirical results show that failure to capture substitution between cars within the household can result in substantial misspecification biases. Ignoring substitution, the basic model yielded fuel price elasticities of 0.......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...

  9. 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.

  10. Automatic dam concrete placing system; Dam concrete dasetsu sagyo no jidoka system

    Energy Technology Data Exchange (ETDEWEB)

    Yoneda, Y.; Hori, Y.; Nakayama, T.; Yoshihara, K.; Hironaka, T. [Okumura Corp., Osaka (Japan)

    1994-11-15

    An automatic concrete placing system was developed for concrete dam construction. This system consists of the following five subsystems: a wireless data transmission system, an automatic dam concrete mixing system, a consistency determination system, an automatic dam concrete loading and transporting system, and a remote concrete bucket opening and closing system. The system includes the following features: mixing amount by mixing ratio and mixing intervals can be instructed from a concrete placing site by using a wireless handy terminal; concrete is mixed automatically in a batcher plant; a transfer car is started, and concrete is charged into a bucket automatically; the mixed concrete is determined of its properties automatically; labor cost can be reduced, the work efficiency improved, and the safety enhanced; and the system introduction has resulted in unattended operation from the aggregate draw-out to a bunker line, manpower saving of five persons, and reduction in cycle time by 10%. 11 figs., 2 tabs.

  11. Car-use habits: An obstacle to the use of public transportation?

    DEFF Research Database (Denmark)

    Møller, Berit Thorup; Thøgersen, John

    consequences. Since the decision is made rather automatically and only one choice alternative is considered (the habitually chosen one) behaviours guided by habit are difficult to change. The implications of car-use habits for converting drivers to commuters by public transportation is analysed based...... on a survey in the Copenhagen area, collected in October 2002. The study reveals that a relatively low percentage of drivers (10-20%) intend to commute by public transportation in the near future, which is hardly a surprise. A hierarchical analysis, where reported use of public transportation is regressed...... onto intentions to do so, car-use habit, and the interaction between the two, confirms the theory-derived hypothesis that car-use habits act as an obstacle to transforming intentions to commute by public transportation into action....

  12. The microbiological quality of air improves when using air conditioning systems in cars

    OpenAIRE

    Holdack-Janssen Hinrich; Kenneweg Björn; Gastmeier Petra; Vonberg Ralf-Peter; Sohr Dorit; Chaberny Iris F

    2010-01-01

    Abstract Background Because of better comfort, air conditioning systems are a common feature in automobiles these days. However, its impact on the number of particles and microorganisms inside the vehicle - and by this its impact on the risk of an allergic reaction - is yet unknown. Methods Over a time period of 30 months, the quality of air was investigated in three different types of cars (VW Passat, VW Polo FSI, Seat Alhambra) that were all equipped with a automatic air conditioning system...

  13. 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

    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...

  14. 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

    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...

  15. CARS

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Mercury Mariner混合动力车是一款豪华紧凑型SUV,它采用混合动力发动机,无级变速和全驱动驾驶,续航里程达640公里。如果您是一位不喜欢走寻常路的人,那么这款车型先进的导航系统以及出色的稳定性控制定会给带来惊喜。

  16. CARS

    Institute of Scientific and Technical Information of China (English)

    李啸龙

    2011-01-01

    MINI COUNTRYMAN成为国内空客A380首航专用引导车 10月17日,来自中国南方航空公司的国内首架空客A380于北京首都国际机场起飞,经过近2000km、3个小时的航程,成功降落在广州白云国际机场,3辆MINI COUNTRYMAN引导着这一架“空中巨无霸”精准停机入位。

  17. CARS

    Institute of Scientific and Technical Information of China (English)

    李啸龙

    2011-01-01

    MINI COUNTRYMAN成为国内空客A380首航专用引导车10月17日,来自中国南方航空公司的国内首架空客A380于北京首都国际机场起飞,经过近2000km、3个小时的航程,成功降落在广州白云国际机场,3辆MINI COUNTRYMAN引导着这一架“空中巨无霸”精准停机入位。

  18. Automatic Payroll Deposit System.

    Science.gov (United States)

    Davidson, D. B.

    1979-01-01

    The Automatic Payroll Deposit System in Yakima, Washington's Public School District No. 7, directly transmits each employee's salary amount for each pay period to a bank or other financial institution. (Author/MLF)

  19. Automatic quantitative analysis of morphology of apoptotic HL-60 cells

    OpenAIRE

    Liu, Yahui; Lin, Wang; Yang, Xu; Liang, Weizi; Zhang, Jun; Meng, Maobin; Rice, John R.; Sa, Yu; Feng, Yuanming

    2014-01-01

    Morphological identification is a widespread procedure to assess the presence of apoptosis by visual inspection of the morphological characteristics or the fluorescence images. The procedure is lengthy and results are observer dependent. A quantitative automatic analysis is objective and would greatly help the routine work. We developed an image processing and segmentation method which combined the Otsu thresholding and morphological operators for apoptosis study. An automatic determina...

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

  6. SONDEX - system for automatic monitoring of motor car components using combined nondestructive test methods (eddy current testing, magnetic flux testing, ultrasonic testing) applied in supporting structures made of cast spherical graphite; SONDEX - Anlage zur automatischen Ueberwachung von Automobilbauteilen mit kombinierten ZfP-Verfahren (Wirbelstrom, Magnetische Streuflusspruefung, Ultraschall) an Quertraegern aus Kugelgraphitguss

    Energy Technology Data Exchange (ETDEWEB)

    Husarek, V.; Gastel, J.G. [SOFRANEL, Sartrouville (France); Charrier, T. [SREM, La Fleche (France)

    2003-07-01

    In motor car wheel systems, every single component must be tested separately. In order to avoid delays in production - which would mean a cost increase -, it is advisable to carry out all tests on a single machine. SREM Technologies, a subsidiary of SOFRANEL, have been working on this problem since the late seventies. The resulting systems - known as SONDEX systems - have been used successfully, e.g. in the Douvrin casting plant described here. The tests are supplemented by deformation tests and tests for dimensional accuracy in certain cases. (orig.) [German] Zahlreiche mechanische Teile werden Pruefungen unterzogen, zumindest in Stichproben, um sicher zu stellen, dass sie ihre Aufgaben erfuellen koennen. Wenn diese Teile zum System der Radaufhaengung eines Fahrzeugs gehoeren, muss die Pruefung jedes Stueck erfassen. Das trifft z.B. fuer die Quertraegerarme von Personenkraftfahrzeugen zu. Die beste Loesung, auf zerstoerungsfreiem Wege die Kugelgraphitausbildung bei Werkstuecken aus GGG zu bestimmen, besteht darin, an ihnen die Schallgeschwindigkeit zu messen. Aber auch andere Pruefungen koennen bei demselben Werkstueck erforderlich sein. Um die Produktion nicht zu verzoegern und damit nicht den Gestehungspreis zu erhoehen, ist es ideal, diese Pruefungen auf einer Maschine aneinanderzureihen. SREM Technologies, eine Tochtergesellschaft von SOFRANEL, hat an der Loesung dieses Problems seit Ende der 70er Jahre gearbeitet. Ergebnis dieser Forschungen sind die unter dem Herstellernamen SONDEX bekannten Einrichtungen. Die fuer die Maschinengiesserei in Douvrin hergestellte Anlage wendet Streufluss-, Wirbelstrom- und Ultraschallpruefungen an. Im speziellen Fall der genannten Werkstuecke werden die erwaehnten Pruefungen durch eine Verformungspruefung und eine Ueberpruefung der Masshaltigkeit ganz bestimmter Bereiche ergaenzt.

  7. 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.

  8. Heterodyne effect in Hybrid CARS

    Science.gov (United States)

    Wang, Xi; Zhang, Aihua; Zhi, Miaochan; Sokolov, Alexei; Welch, George; Scully, Marlan

    2009-10-01

    We study the interaction between the resonant Raman signal and non-Raman field, either the concomitant nonresonant four-wave-mixing (FWM) background or an applied external field, in our recently developed scheme of coherent Anti-Stokes Raman scattering, a hybrid CARS. Our technique combines instantaneous coherent excitation of several characteristic molecular vibrations with subsequent probing of these vibrations by an optimally shaped, time-delayed, narrowband laser pulse. This pulse configuration mitigates the non-resonant FWM background while maximizing the Raman-resonant signal, and allows rapid and highly specific detection even in the presence of multiple scattering. We apply this method to non-invasive monitoring of blood glucose levels. Under certain conditions we find that the measured signal is linearly proportional to the glucose concentration due to optical interference with the residual background light, which allows reliable detection of spectral signatures down to medically-relevant glucose levels. We also study the interference between the CARS field and an external field (the local oscillator) by controlling their relative phase and amplitude. This control allows direct observation of the real and imaginary components of the third-order nonlinear susceptibility (χ^(3)) of the sample. We demonstrate that the heterodyne method can be used to amplify the signal and thus increase detection sensitivity.

  9. A smart car for the surface shape measurement of large antenna based on laser tracker

    Science.gov (United States)

    Gu, Yonggang; Hu, Jing; Jin, Yi; Zhai, Chao

    2012-09-01

    The geometric accuracy of the surface shape of large antenna is an important indicator of antenna’s quality. Currently, high-precision measurement of large antenna surface shape can be performed in two ways: photogrammetry and laser tracker. Photogrammetry is a rapid method, but its accuracy is not enough good. Laser tracker can achieve high precision, but it is very inconvenient to move the reflector (target mirror) on the surface of the antenna by hand during the measurement. So, a smart car is designed to carry the reflector in this paper. The car, controlled by wireless, has a small weight and a strong ability for climbing, and there is a holding bracket gripping the reflector and controlling reflector rise up and drop down on the car. During the measurement of laser tracker, the laser beam between laser tracker and the reflector must not be interrupted, so two high-precision three-dimensional miniature electronic compasses, which can real-time monitor the relative angle between the holding bracket and the laser tracker’s head, are both equipped on the car and the head of laser tracker to achieve automatic alignment between reflector and laser beam. With the aid of the smart car, the measurement of laser tracker has the advantages of high precision and rapidity.

  10. Car driver casualty rates in Great Britain by type of car.

    Science.gov (United States)

    Broughton, Jeremy

    2008-07-01

    Since 1989, the British STATS19 national road accident reporting system has included the Vehicle Registration Mark (VRM). This allows the basic vehicle record to be augmented with details such as the date of first registration and codes that specify the vehicle's make and model. In order to examine the influence of car type upon the driver casualty rate, this paper groups car models into six types, ranging from 'Minis and Superminis' to '4x4s and people carriers (pc)'. Exploratory analyses of data from accidents that occurred between 2001 and 2005 show that the driver casualty rate falls markedly with size of car. In car-car collisions, the rate also rises markedly with the size of the other car. The car's year of first registration also influences the casualty rate, and represents the influence of changes in the characteristics of new cars. Statistical models are fitted to identify the separate influences on a driver's risk of injury in a car-car collision of the type and registration year of the driver's car and the type and registration year of the other car in the collision. The analysis is extended to include collisions with other vehicles such as lorries and buses. PMID:18606288

  11. An improved car-following model considering velocity fluctuation of the immediately ahead car

    Science.gov (United States)

    Yu, Shaowei; Huang, Mengxing; Ren, Jia; Shi, Zhongke

    2016-05-01

    To better describe car-following behaviors in the adaptive cruise control strategy and further increase roadway traffic mobility and reduce fuel consumptions, the linkage between velocity fluctuation of the immediately ahead car and the following car's acceleration or deceleration is explored with respect to the measured car-following data by employing the gray correlation analysis theory and then an improved car-following model considering velocity fluctuation of the immediately ahead car on basis of the full velocity difference model is proposed. Numerical simulations are carried out and the effects of velocity fluctuation of the immediately ahead car on each car's velocity, acceleration, vehicular gap, fuel consumptions and the total fuel consumptions of the whole car-following system with different time window lengths are investigated in detail. The results show that velocity fluctuation of the immediately ahead car has significant effects on car-following behaviors and fuel consumptions, and that considering velocity fluctuation of the immediately ahead car in designing the adaptive cruise control system can improve traffic flow stability and reduce fuel consumptions.

  12. 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

  13. Full-Automatic Parking registration and payment

    DEFF Research Database (Denmark)

    Agerholm, Niels; Lahrmann, Harry; Jørgensen, Brian;

    2014-01-01

    , 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......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...

  14. 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.

  15. 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 of tank cars. (a) Each tank car marked as meeting a “DOT” specification or any other tank car...

  16. 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.

  17. 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 .

  18. VEHICLE IDENTIFICATION TASK SOLUTION BY WINDSCREEN MARKING WITH A BARCODE

    Directory of Open Access Journals (Sweden)

    A. Levterov

    2012-01-01

    Full Text Available The vehicle identification means are considered and the present-day traffic requirements are set. The vehicle automatic identification method concerned with barcode use is proposed and described.

  19. 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...

  20. 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.)

  1. 75 FR 10567 - Commerce Acquisition Regulation (CAR)

    Science.gov (United States)

    2010-03-08

    ... proposed rule published on October 13, 2009 in the Federal Register (74 FR 52541). The document is also... Commerce 48 CFR Chapter 13 Commerce Acquisition Regulation (CAR); Final Rule #0;#0;Federal Register / Vol... Chapter 13 RIN 0605-AA26 Commerce Acquisition Regulation (CAR) AGENCY: Department of Commerce...

  2. 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.

  3. 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, ...

  4. 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. PMID:27454296

  5. Environmental impact of scrapping old cars

    NARCIS (Netherlands)

    Wee, Bert van; Moll, Henri C.; Dirks, Jessica

    2000-01-01

    Many countries introduced scrapping programs in the 90s, partly legitimated by environmental impact reductions. However, reducing the age of the current car fleet may result in an increase of life-cycle CO2 emissions. This will probably also be true for cars to be produced in future unless fuel effi

  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. 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

  8. Automatic utilities auditing

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Colin Boughton [Energy Metering Technology (United Kingdom)

    2000-08-01

    At present, energy audits represent only snapshot situations of the flow of energy. The normal pattern of energy audits as seen through the eyes of an experienced energy auditor is described. A brief history of energy auditing is given. It is claimed that the future of energy auditing lies in automatic meter reading with expert data analysis providing continuous automatic auditing thereby reducing the skill element. Ultimately, it will be feasible to carry out auditing at intervals of say 30 minutes rather than five years.

  9. 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...

  10. 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.

  11. 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

  12. Reactions of Met-Cars

    International Nuclear Information System (INIS)

    A new class of metal-carbon complexes, termed metallo-carbohedrenes (Met-Cars), have been discovered to form in a plasma reactor in which early transition metals are vaporized into a stream carrying small hydrocarbon molecules. The initial discovery involved the species Ti8c12+, while subsequent studies revealed the stability of the anion and, most importantly, the neutral species. Subsequent investigations show that similar molecules, predicted to have a pentagonal dodecahedral structure, can also be formed with vanadium, hafnium, and zirconium. In the case of the latter, more recent investigations have displaced an interesting growth pattern. In particular, pentagonal dodecahedrons with dangling carbon atoms can undergo further growth, adding at least a second and third cage. The latest results on the properties and reactivities of these new cage-like molecular clusters will be discussed

  13. 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.

  14. 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 ...

  15. 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.

  16. Entertainment and Pacification System For Car Seat

    Science.gov (United States)

    Elrod, Susan Vinz (Inventor); Dabney, Richard W. (Inventor)

    2006-01-01

    An entertainment and pacification system for use with a child car seat has speakers mounted in the child car seat with a plurality of audio sources and an anti-noise audio system coupled to the child car seat. A controllable switching system provides for, at any given time, the selective activation of i) one of the audio sources such that the audio signal generated thereby is coupled to one or more of the speakers, and ii) the anti-noise audio system such that an ambient-noise-canceling audio signal generated thereby is coupled to one or more of the speakers. The controllable switching system can receive commands generated at one of first controls located at the child car seat and second controls located remotely with respect to the child car seat with commands generated by the second controls overriding commands generated by the first controls.

  17. 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...

  18. Study Finds Hybrid Cars Greener Than Hydrogen Cars

    Institute of Scientific and Technical Information of China (English)

    励蓓蓓

    2003-01-01

    选注者言:最近,我也加入了“驾车一族”,我的小别克让我饱尝“飞驰”之乐。因此,我也更关心汽车的前景。本文向我们透露了许多研发新型汽车的最新消息。美国布什政府对研发氢燃料电池驱动的汽车的费用投入达12亿美元。但是,此消息刚刚宣布,MIT的研究就提出氢燃料电池驱动的汽车的不足:…uses sub-stantial energy and emits greenhouse gases.一种更环保更科学的汽车(hybrid cars/复合车)在日本的丰田和本田公司已经被投入生产。

  19. 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).

  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. 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

  2. Piecewise linear car-following modeling

    CERN Document Server

    Farhi, Nadir

    2011-01-01

    We present a traffic model which extends the linear car-following model as well as the min-plus traffic model (a model based on the min-plus algebra). A discrete-time car-dynamics describing the traffic on a 1-lane road without passing is interpreted as a dynamic programming equation of a stochastic optimal control problem of a Markov chain. This variational formulation permits to characterize the stability of the car-dynamics and to calculte the stationary regimes when they exist. The model is based on a piecewise linear approximation of the fundamental traffic diagram.

  3. Electric cars as mobile power storage systems

    International Nuclear Information System (INIS)

    This article discusses the use of electric cars as a means of optimising the use of renewable energy sources. Charging the cars' batteries during periods when cheap electricity prices prevail and then using excess capacity to supply the mains with electricity during periods of peak demand is discussed. The possible use of wind for power generation is discussed and a system proposed by a leading supplier of electrical apparatus and systems is examined. Two examples of electric cars and associated power chains are looked at and tests in everyday practice are described

  4. Charging electric cars from solar energy

    OpenAIRE

    Liang, Xusheng; Tanyi, Elvis; Zou, Xin

    2016-01-01

    Before vehicles were heavily relied on coal, fossil fuels and wind for power.  Now, they are rapidly being replaced by electric vehicles and or plug-in hybrid electric cars. But these electric cars are still faced with the problem of energy availability because they rely on energy from biomass, hydro power and wind turbines for power generation. The abundance of solar radiation and its use as solar energy as a power source in driving these rapidly increasing electric cars is not only an impor...

  5. 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

  6. 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.

  7. Automatic fault extraction using a modified ant-colony algorithm

    International Nuclear Information System (INIS)

    The basis of automatic fault extraction is seismic attributes, such as the coherence cube which is always used to identify a fault by the minimum value. The biggest challenge in automatic fault extraction is noise, including that of seismic data. However, a fault has a better spatial continuity in certain direction, which makes it quite different from noise. Considering this characteristic, a modified ant-colony algorithm is introduced into automatic fault identification and tracking, where the gradient direction and direction consistency are used as constraints. Numerical model test results show that this method is feasible and effective in automatic fault extraction and noise suppression. The application of field data further illustrates its validity and superiority. (paper)

  8. 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

  9. 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。

  10. 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.

  11. Automatic Program Reports

    OpenAIRE

    Lígia Maria da Silva Ribeiro; Gabriel de Sousa Torcato David

    2007-01-01

    To profit from the data collected by the SIGARRA academic IS, a systematic setof graphs and statistics has been added to it and are available on-line. Thisanalytic information can be automatically included in a flexible yearly report foreach program as well as in a synthesis report for the whole school. Somedifficulties in the interpretation of some graphs led to the definition of new keyindicators and the development of a data warehouse across the university whereeffective data consolidation...

  12. 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....

  13. Automatic Differentiation Variational Inference

    OpenAIRE

    Kucukelbir, Alp; Tran, Dustin; Ranganath, Rajesh; Gelman, Andrew; Blei, David M.

    2016-01-01

    Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However, fitting complex models to large data is a bottleneck in this process. Deriving algorithms for new models can be both mathematically and computationally challenging, which makes it difficult to efficiently cycle through the steps. To this end, we develop automatic differentiation variational inference (ADVI). Using our method, the scientist on...

  14. CAR models: next-generation CAR modifications for enhanced T-cell function.

    Science.gov (United States)

    Abate-Daga, Daniel; Davila, Marco L

    2016-01-01

    T cells genetically targeted with a chimeric antigen receptor (CAR) to B-cell malignancies have demonstrated tremendous clinical outcomes. With the proof in principle for CAR T cells as a therapy for B-cell malignancies being established, current and future research is being focused on adapting CAR technology to other cancers, as well as enhancing its efficacy and/or safety. The modular nature of the CAR, extracellular antigen-binding domain fused to a transmembrane domain and intracellular T-cell signaling domains, allows for optimization by replacement of the various components. These modifications are creating a whole new class of therapeutic CARs. In this review, we discuss the recent major advances in CAR design and how these modifications will impact its clinical application. PMID:27231717

  15. Ultrafast CARS with Improved Spectral Resolution

    Directory of Open Access Journals (Sweden)

    Lochbrunner S.

    2013-03-01

    Full Text Available Molecular vibrations are investigated by time and frequency resolved CARS applying ultrafast excitation and picosecond probing for high spectral resolution. Enhanced spectral structure and beating phenomena are demonstrated for coalescing Raman bands.

  16. 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.

  17. Binarity of the LBV HR Car

    CERN Document Server

    Rivinius, Th; de Wit, W J; Mehner, A; Martayan, Ch; Guieu, S; Bouquin, J -B Le

    2014-01-01

    VLTI/AMBER and VLTI/PIONIER observations of the LBV HR Car show an interferometric signature that could not possibly be explained by an extended wind, more or less symmetrically distributed around a single object. Instead, observations both in the Br$\\gamma$ line and the H-band continuum are best explained by two point sources (or alternatively one point source and one slightly extended source) at about 2 mas separation and a contrast ratio of about 1:5. These observations establish that HR Car is a binary, but further interpretation will only be possible with future observations to constrain the orbit. Under the assumption that the current separation is close to the maximum one, the orbital period can be estimated to be of the order of 5 years, similar as in the $\\eta$ Car system. This would make HR Car the second such LBV binary.

  18. Humanitarian reform: a view from CAR

    Directory of Open Access Journals (Sweden)

    Toby Lanzer

    2007-12-01

    Full Text Available As the Humanitarian Coordinator in the Central AfricanRepublic (CAR, it is my job to ensure that the UN andhumanitarian organisations work together to meet needsas efficiently as we can.

  19. 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.

  20. 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...

  1. Red, Yellow, and Green: A psychological perspective on car purchase and implications for subsequent car use

    OpenAIRE

    Nayum, Alim

    2016-01-01

    ABSTRACT - Red, Yellow, and Green: A psychological perspective on car purchase and implications for subsequent car use - Research on consumer behaviors having high impact on natural resources and the environment is considered important for developing measures for a sustainable future. This thesis focuses on one of such consumer behaviors – purchases and use of new passenger cars. The primary aim of the thesis is to examine the effects of socio-psychological factors in ...

  2. Post-Car World: Why Laugh at Change? Definitions of the Car and Potential Changes

    OpenAIRE

    Rigal, Alexandre; Rudler, Jade

    2014-01-01

    Far from the sirens of Modernism and the models founded on a standard vision of humanity, the scope of the Post-Car World research project is pluralistic. This project, funded by the Fonds National (Synergia), aims to create urban planning scenarios, focusing on the role of the car. Originally based on our investigation of people’s relationship with the car, the plurality of practices and their possible (and desired) alternatives will likewise enhance these scenarios. This plurality of views ...

  3. Issue 5: High Interest in Hybrid Cars

    OpenAIRE

    Ong, Paul M.; Haselhoff, Kim

    2005-01-01

    This SCS Fact Sheet provides information on the level of interest in purchasing hybrid automobiles—vehicles that combine gasoline and electric motors to increase fuel mileage and reduce air pollution. A significant minority stated that they are willing to pay more for such a car, with the proportion varying by income and ethnicity. Not surprisingly, those drivers who commute to work and those with environmental concerns are more likely to pay the additional cost for a hybrid car.

  4. 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.

  5. Without wheels: alternatives to the private car

    Energy Technology Data Exchange (ETDEWEB)

    Bendixson, T.

    1975-01-01

    Alternatives to private cars are examined in a response to the need for new transportation strategies. It is believed that there is no single panacea for the problem, and both existing technologies (trains, buses, taxis, bicycles, and cars) and new technologies (driverless vehicles, electronic guidance systems, and moving sidewalks) are considered. New concepts in town planning and life style that could reduce travel needs are examined, and various current urban experiments are detailed. (PMA)

  6. Tunable narrow band filter for CARS microscopy

    International Nuclear Information System (INIS)

    In this letter we present an approach to CARS microscopy, which compromises between fast acquisition rates and the amount of chemical information obtained. By using a light modulator as tunable filter in concert with narrowband pump and broadband Stokes pulses, we demonstrate an experimental arrangement, which allows for fast electronic switching between CARS images recorded at different Raman resonances without the need for any optical adjustment

  7. 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

  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 Sunday 22 October until the evening of Monday 23 October. Thank you for your cooperation. PH-CMT Group Tel. 164569

  9. 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.

  10. [The peculiar features of conducting comprehensive expertises of the injuries inflicted inside the passenger car compartment].

    Science.gov (United States)

    Fetisov, V A; Gusarov, A A; Smirenin, S A

    2016-01-01

    The present article deals with the problem of forensic medical diagnostics of the injuries inflicted inside the passenger car compartment during motor vehicle accidents. The authors place special emphasis on the fact of a significant increase in the number of road traffic accidents (RTA) with such consequences throughout the world. The modern automobile industry pays much attention to the enhancement of the car safety features by significantly improving the design of passenger compartments. It accounts for a change in the traditional character of the injuries to both the driver and the passengers resulting from motor vehicle accidents. This, in turn, creates difficulties for the forensic medical experts as regards personality identification of the subjects who happened to be inside the car at the moment of the collision especially in the case of unascertainable circumstances of the accident and/or the involvement of several victims. The authors describe peculiarities of the injuries inflicted inside the passenger car compartment during road traffic accidents including such that result from bringing the driver and the passengers closer to the construction elements of the car (stage I), their direct contact with these elements (stage II), and subsequent displacement (stage III). PMID:27500476

  11. 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...

  12. 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

  13. 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.

  14. 30 CFR 56.19079 - Blocking mine cars.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Blocking mine cars. 56.19079 Section 56.19079... Hoisting Procedures § 56.19079 Blocking mine cars. Where mine cars are hoisted by cage or skip, means for blocking cars shall be provided at all landings and also on the cage....

  15. 30 CFR 57.19079 - Blocking mine cars.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Blocking mine cars. 57.19079 Section 57.19079... Hoisting Procedures § 57.19079 Blocking mine cars. Where mine cars are hoisted by cage or skip, means for blocking cars shall be provided at all landings and also on the cage....

  16. 49 CFR 215.303 - Stenciling of restricted cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Stenciling of restricted cars. 215.303 Section 215... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD FREIGHT CAR SAFETY STANDARDS Stenciling § 215.303 Stenciling of restricted cars. (a) Each restricted railroad freight car that is described in § 215.205(a)...

  17. 19 CFR 151.26 - Molasses in tank cars.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Molasses in tank cars. 151.26 Section 151.26....26 Molasses in tank cars. When molasses is imported in tank cars, the importer shall file with the... sugars or the character of the molasses in the different cars....

  18. 49 CFR 223.15 - Requirements for existing passenger cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Requirements for existing passenger cars. 223.15... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION SAFETY GLAZING STANDARDS-LOCOMOTIVES, PASSENGER CARS AND CABOOSES Specific Requirements § 223.15 Requirements for existing passenger cars. (a) Passenger cars built...

  19. 49 CFR 218.80 - Movement of occupied camp cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Movement of occupied camp cars. 218.80 Section 218... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD OPERATING PRACTICES Protection of Occupied Camp Cars § 218.80 Movement of occupied camp cars. Occupied cars may not be humped or flat switched unless coupled...

  20. REMOTE CONTROLLED CAR HEATER USING A RASPBERRY PI

    OpenAIRE

    Loukola, Petrik

    2015-01-01

    In this thesis, the goal was to design and implement a technology with which the user can control the car heaters and monitor the car temperature via Wi-Fi network and web browser. The idea for this project came from the Finnish cold climate. Winters in Finland can be very cold and if the car owners want to drive their cars, it is recommended to preheat the car engine and interior before driving the car. This will make driving safer, the car will make less pollution, better for the engines li...

  1. AUTOMATIC CAPTION GENERATION FOR ELECTRONICS TEXTBOOKS

    Directory of Open Access Journals (Sweden)

    Veena Thakur

    2015-10-01

    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.

  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. 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.

  4. 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.

  5. 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. PMID:25019134

  6. 49 CFR 231.8 - Tank cars without side sills and tank cars with short side sills and end platforms.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Tank cars without side sills and tank cars with... APPLIANCE STANDARDS § 231.8 Tank cars without side sills and tank cars with short side sills and end platforms. (a) Hand brakes—(1) Number. Same as specified for “Box and other house cars” (see §...

  7. 49 CFR 173.319 - Cryogenic liquids in tank cars.

    Science.gov (United States)

    2010-10-01

    ... subchapter for a DOT-113C120W tank car apply to a DOT-113D120W tank car. (49 U.S.C. 1803, 1804, 1808; 49 CFR... 49 Transportation 2 2010-10-01 2010-10-01 false Cryogenic liquids in tank cars. 173.319 Section... cars. (a) General requirements. (1) A tank car containing a flammable cryogenic liquid may not...

  8. 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.)

  9. 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

  10. 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.

  11. Gasoline-powered series hybrid cars cause lower life cycle carbon emissions than battery cars

    Science.gov (United States)

    Meinrenken, Christoph; Lackner, Klaus S.

    2012-02-01

    Battery cars powered by grid electricity promise reduced life cycle green house gas (GHG) emissions from the automotive sector. Such scenarios usually point to the much higher emissions from conventional, internal combustion engine cars. However, today's commercially available series hybrid technology achieves the well known efficiency gains in electric drivetrains (regenerative breaking, lack of gearbox) even if the electricity is generated onboard, from conventional fuels. Here, we analyze life cycle GHG emissions for commercially available, state-of the-art plug-in battery cars (e.g. Nissan Leaf) and those of commercially available series hybrid cars (e.g., GM Volt, at same size and performance). Crucially, we find that series hybrid cars driven on (fossil) gasoline cause fewer emissions (126g CO2eq per km) than battery cars driven on current US grid electricity (142g CO2eq per km). We attribute this novel finding to the significant incremental emissions from plug-in battery cars due to losses during grid transmission and battery dis-/charging, and manufacturing larger batteries. We discuss crucial implications for strategic policy decisions towards a low carbon automotive sector as well as relative land intensity when powering cars by biofuel vs. bioelectricity.

  12. Gasoline-powered serial hybrid cars cause lower life cycle carbon emissions than battery cars

    Science.gov (United States)

    Meinrenken, Christoph J.; Lackner, Klaus S.

    2011-04-01

    Battery cars powered by grid electricity promise reduced life cycle green house gas (GHG) emissions from the automotive sector. Such scenarios usually point to the much higher emissions from conventional, internal combustion engine cars. However, today's commercially available serial hybrid technology achieves the well known efficiency gains from regenerative breaking, lack of gearbox, and light weighting - even if the electricity is generated onboard, from conventional fuels. Here, we analyze emissions for commercially available, state-of the-art battery cars (e.g. Nissan Leaf) and those of commercially available serial hybrid cars (e.g., GM Volt, at same size and performance). Crucially, we find that serial hybrid cars driven on (fossil) gasoline cause fewer life cycle GHG emissions (126g CO2e per km) than battery cars driven on current US grid electricity (142g CO2e per km). We attribute this novel finding to the significant incremental life cycle emissions from battery cars from losses during grid transmission, battery dis-/charging, and larger batteries. We discuss crucial implications for strategic policy decisions towards a low carbon automotive sector as well as relative land intensity when powering cars by biofuel vs. bioelectricity.

  13. 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...

  14. Computer assisted radiology and surgery. CARS 2010

    International Nuclear Information System (INIS)

    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.

  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. Dual-tip-enhanced ultrafast CARS nanoscopy

    International Nuclear Information System (INIS)

    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 nano-optics 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 ultrafast energy and electron transfer dynamics in real space with nanometre resolution. (paper)

  17. 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 ...

  18. System Identification

    NARCIS (Netherlands)

    Keesman, K.J.

    2011-01-01

    Summary System Identification Introduction.- Part I: Data-based Identification.- System Response Methods.- Frequency Response Methods.- Correlation Methods.- Part II: Time-invariant Systems Identification.- Static Systems Identification.- Dynamic Systems Identification.- Part III: Time-varying Syste

  19. Automatic Mode Transition Enabled Robust Triboelectric Nanogenerators.

    Science.gov (United States)

    Chen, Jun; Yang, Jin; Guo, Hengyu; Li, Zhaoling; Zheng, Li; Su, Yuanjie; Wen, Zhen; Fan, Xing; Wang, Zhong Lin

    2015-12-22

    Although the triboelectric nanogenerator (TENG) has been proven to be a renewable and effective route for ambient energy harvesting, its robustness remains a great challenge due to the requirement of surface friction for a decent output, especially for the in-plane sliding mode TENG. Here, we present a rationally designed TENG for achieving a high output performance without compromising the device robustness by, first, converting the in-plane sliding electrification into a contact separation working mode and, second, creating an automatic transition between a contact working state and a noncontact working state. The magnet-assisted automatic transition triboelectric nanogenerator (AT-TENG) was demonstrated to effectively harness various ambient rotational motions to generate electricity with greatly improved device robustness. At a wind speed of 6.5 m/s or a water flow rate of 5.5 L/min, the harvested energy was capable of lighting up 24 spot lights (0.6 W each) simultaneously and charging a capacitor to greater than 120 V in 60 s. Furthermore, due to the rational structural design and unique output characteristics, the AT-TENG was not only capable of harvesting energy from natural bicycling and car motion but also acting as a self-powered speedometer with ultrahigh accuracy. Given such features as structural simplicity, easy fabrication, low cost, wide applicability even in a harsh environment, and high output performance with superior device robustness, the AT-TENG renders an effective and practical approach for ambient mechanical energy harvesting as well as self-powered active sensing. PMID:26529374

  20. Ballistics Image Processing and Analysis for Firearm Identification

    OpenAIRE

    Li, Dongguang

    2009-01-01

    Firearm identification is an intensive and time-consuming process that requires physical interpretation of forensic ballistics evidence. Especially as the level of violent crime involving firearms escalates, the number of firearms to be identified accumulates dramatically. The demand for an automatic firearm identification system arises. This chapter proposes a new, analytic system for automatic firearm identification based on the cartridge and projectile specimens. Not only do we present an ...

  1. Internet of Car: Accident Sensing, Indication and Safety with Alert system

    Directory of Open Access Journals (Sweden)

    Md. Maminul Islam

    2013-10-01

    Full Text Available Detecting an accident before occurring it can save human life. To do this, advance accurate human detection and accident detection capability is needed. Several researches are going on regarding pre-crash detection & avoidance system from obstacle. To implement this system, priorities crash is essential for human or animal compared to obstacle. How the system will operate when it faces a situation to between human and obstacle? Differentiating human or animals and obstacles is more important by detecting them. If the system is unable to detect human then there will be a possibility to hit human rather than obstacle. Driver when drive a car in high speed may bypass humans, animals, or any obstacle for a few inches and the measurement is done by his own eyes which may occur an accident. Moreover, risk increases in foggy weather to see further that any animals, human or any obstacle is present in front of the car or any car is coming from opposite direction. Giving the priorities to human or animal, this paper work is done. By this system, a car will try to avoid obstacle after avoiding human or animal if there is any. Driver will also be notified with red lights indicating that obstacles are in front. However, if the system would not be able to avoid accident then our system will automatically generate a tweet in tweeter. For further safety, this system also contains relay and buzzer where relay will protect the car from battery ignition and buzzer will make noise to inform people surrounded

  2. Design of Military Automatism Storage Robot Based on MCS-51 Controller%基于MCS-51控制的军用自动仓储搬运机器人设计实现

    Institute of Scientific and Technical Information of China (English)

    李雷

    2011-01-01

    The paper expresses the design and realization of military automatism storage robots. The system includes the three units of intelligence car, mechanism arm and image identification. The intelligence car is based MCS-51 .tracking of infrared amanative counter-diode,driving by direct - current electromotor, comes to be a automatism transit robot carrier. The part of identification recognizes images by infrared lattice,and the mechanism arm can be realized by executing portion. The core is a closed loop control system that mainly composed by single chip, image identification, and mechanism arm. The system achieves these functions about intelligence tracking, image identification, and objects transit. The design of the system is simple, and can be easily realized. Also in the future it can be applied in the intelligence control field widely.%介绍了自动仓储搬运机器人的设计与实现.该系统由智能小车、机械抓手和图像识别系统三部分组成,智能小车基于MCS-51单片机控制,利用红外发射对管进行寻迹,采用直流减速电机驱动实现了军用自动仓储搬运机器人智能搬运的载体,图像识别采用红外探射点阵对图像进行探射并识别,机械抓手由执行模块实现.系统核心由单片机、图像识别与机械抓手为主体构成的闭环控制系统,实现了智能寻迹,图像识别,物体搬运等功能.该系统设计简单,易于实现,在智能控制领域应用广泛.

  3. Parametric design of air powered car

    Energy Technology Data Exchange (ETDEWEB)

    Sundar, T.M.; Kumar, B.P.; Suresh, R. [Tamilnadu College of Engineering, Coimbatore (India). Dept. of Mechanical Engineering

    2006-07-01

    An air-powered car was described with particular reference to its thermodynamic properties. The car was based on an external combustion engine. Air suction occurred in a piston and cylinder assembly through an air vent, where it was then compressed to higher pressures. The compressed air then entered a multi-stage reciprocating single-acting air compressor where the air was further compressed. Power for the compressor was provided by a double-battery system and a relay circuit to trigger the battery connection. Compressed air was stored in a compressed air tank and controlled by valves. The valves were controlled by a contour profile of an overhead camshift. Design specifications were included for the cylinder and cylinder liner; the pistons; the connecting rod; crank; valve gear mechanism; and the compressor. Results of the thermodynamic analysis indicated that the air-powered car is technologically feasible. 7 refs., 3 tabs., 1 fig.

  4. 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...

  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. Event marketing in car industry : case: Carfest

    OpenAIRE

    Häme, Erkki

    2013-01-01

    Car importer companies compete on the pages of newspapers and magazines with who has the nicest and most clever advertisement on their new car models. The industry uses quite basic means of marketing – including TV and Radio. Event marketing means to have an event and market your product through that. It needs involvement from the potential customer – not only browsing the magazine or listening to the radio. The main objective in this thesis was to find out whether a SMB can organize...

  7. Islamic Mobility : Car Culture in Modern Malaysia

    OpenAIRE

    Fischer, Johan

    2016-01-01

    In a modern and respectable middle-class suburb outside Kuala Lumpur, the overtness of cars evokes intense speculation about the nature of the make-up of covert middle-class homes and the formation of Malay Muslim identities more generally. I argue that the more ‘Islamic’ cultures of consumption assert themselves in modern Malaysia, the more the growing Malay Muslim middle class is split between desiring cars as positional commodities, on the one hand, and claims for piety through consumption...

  8. ANALYSIS OF TOWING HOOKS OF CARS

    Directory of Open Access Journals (Sweden)

    K. Turgut YÜKSEL

    2005-02-01

    Full Text Available Towing hooks generally are assembled to vehicles as accessory. They are used to tow caravans and trailers having no engine, which provide accommodation and haulage of loads, respectively. So, the transport capacity of cars is increased safely. Towing hooks require different constructive structures due to different chassis or monocoque body of each car type; hence they are to be manufactured and assembled in small- or middle-size factories as per order. In this study, three different constructions of towing hook are modelled and structurally analysed. The results obtained are compared with each other to improve the structural strength.

  9. 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.

  10. 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.

  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. Demand for mini cars and large cars; decay effects, and gasoline demand in Japan

    International Nuclear Information System (INIS)

    This article explains why: (a) consumers underinvest in new car fuel economy by opting to buy large vehicles; (b) macro shifts in vehicle classes have occurred in the last decades; and how (c) the effects of vehicle fuel economy and shifts in vehicle type influence the growth path of gasoline demand, which is the key to designing effective energy efficiency goals for transport. From 2008, 1.9 EXJ (Exajoules) of energy were consumed in Japan by private vehicles producing 124 MtCO2 emissions. For the period 1980 to 2008, we estimated: (1) gasoline demand for three vehicle sizes; (2) vehicle sales; (3) new car fuel economy changes (the ‘real’ technical change); and (4) vehicle stocks. Using a data sample for 1980–2008 we found that: (a) in the short term consumers buy fuel economy, that is sales of mini and small cars increase, but this is not sustained in the long term: and (b) consumers increasingly traded in their cars for larger cars. A further finding was that gasoline demand is projected to increase to 2.3 EXJ by 2035, even with a growing number of mini cars. The policy implication is clear: Japan’s policy to reduce oil dependency to 80% by 2030 is in peril as long as buyers prefer larger cars and drive ever longer distances.

  13. Car Age, Taxation, Scrappage Premiums and the ELV Directive

    OpenAIRE

    Sandström, F. Mikael

    2003-01-01

    A chain of replacement model is used to examine the effects of automobile taxes and of a scrappage premium on the life length of cars, and on the size of the car fleet. The predictions of the model are tested on data on the scrappage of cars in Sweden 1989-2002. The theoretical model predicts that increased taxes on the purchase of cars should increase the life length of cars, and reduce the number of cars. A scrappage premium would have the opposite effects. Changes in periodic taxes would h...

  14. 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.

  15. 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

  16. Perceptions and attitudes of car owners on innovative automobiles

    International Nuclear Information System (INIS)

    To abate the detrimental effects of transport a transition is foreseen from the conventional fossil cars to energy-sustainable cars. A successful transition requires a major behavioral change of car consumers who need to make choices about new options for transport with uncertain costs and benefits compared to their current car. This paper examines consumers' perceptions about innovative cars and considerations for buying or not buying innovative cars (hybrid, electric, plug-in electric, hydrogen, flexifuel). In this study an on-line questionnaire on attitudes, interests and social norms regarding innovative cars was conducted among 339 Dutch respondents who recently bought a new car. To obtain in-depth understanding of the answers, a follow-up study was conducted consisting of two focus groups with a sample of survey participants. These focus groups respectively concentrated on respondents' perceptions of innovative cars, and on the personality traits of the 'typical' innovative car driver. The results of the survey shows that the attitude towards innovative cars are strongly influenced by affective aspects (such as comfort and pleasant) and to a (much) smaller extent by environmental considerations. The results of the focus groups confirm these findings. According to the participants the price of the car is decisive whereby environmental concerns play no role. The design and image of the car are important. In addition, it appears that the familiarity with (and thus the knowledge about) the innovative cars is still very limited (with the exception of the hybrid car). This point of view stresses the importance of the way in which innovative cars are positioned thereby affecting the image (social norms) people will have regarding these cars.

  17. 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…

  18. 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)

  19. 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…

  20. 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

  1. 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.

  2. The Hottest Craze of Private Car

    Institute of Scientific and Technical Information of China (English)

    DougLubbes; 王赣湘

    2004-01-01

    Automobile is, I suppose, the hottest craze in China nowadays: one has only to go to one of the important exhibitions of cars in Shanghai,Beijing and Guangzhou or any other large city,to see this. Rich and poor, young and old, one can see them all there, enquiring and watching

  3. 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.

  4. 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.

  5. 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

  6. Children in Hot Cars Result in Fatal Consequences

    Medline Plus

    Full Text Available ... Health Tips » Holiday and Seasonal Children in Hot Cars Result in Fatal Consequences Emergency physicians are warning ... it bluntly, leaving your child in a hot car is like leaving your child in a lit ...

  7. Children in Hot Cars Result in Fatal Consequences

    Science.gov (United States)

    ... Health Tips » Holiday and Seasonal Children in Hot Cars Result in Fatal Consequences Emergency physicians are warning ... it bluntly, leaving your child in a hot car is like leaving your child in a lit ...

  8. Effect of interferences on indoor visible light car-to-car communication systems

    Science.gov (United States)

    Kim, Jong-Young; Park, Bong-Seok; Choi, Hyun-Sik; Kim, So Eun; Moon, Inkyu; Lee, Chung Ghiu

    2016-04-01

    We report the effect of interferences on visible light car-to-car communication system. The interferences from floor reflections and fluorescent lamps are taken into account for indoor car-to-car visible light communication (VLC) systems. The system is composed of a white LED lamp as a VLC transmitter and a photo-receiver with an appropriate optical filter as a VLC receiver. The signal power distribution patterns are measured and analyzed at a transmission distance, considering the positions of the transmitter and receiver. Generally, the light from fluorescent lamps in indoor environment affects the DC level of the received signal power, which is more significant at higher receiver positions. The measurements show that the indoor VLC communication performance can be varied depending on floor reflections. Also, the fluorescent ceiling illuminations affect the DC level change of the received VLC signal waveforms.

  9. 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.

  10. Optimal Coordination of Automatic Line Switches for Distribution Systems

    OpenAIRE

    Jyh-Cherng Gu; Ming-Ta Yang

    2012-01-01

    For the Taiwan Power Company (Taipower), the margins of coordination times between the lateral circuit breakers (LCB) of underground 4-way automatic line switches and the protection equipment of high voltage customers are often too small. This could lead to sympathy tripping by the feeder circuit breaker (FCB) of the distribution feeder and create difficulties in protection coordination between upstream and downstream protection equipment, identification of faults, and restoration operations....

  11. Automatic segmentation of relevant textures in agricultural images

    OpenAIRE

    Guijarro, Maria; Pajares, Gonzalo; Riomoros, I.; Herrera, P.J.; Burgos Artizzu, Xavier; Ribeiro Seijas, Angela

    2011-01-01

    One important issue emerging strongly in agriculture is related with the automatization of tasks, where the optical sensors play an important role. They provide images that must be conveniently processed. The most relevantimage processing procedures require the identification of green plants, in our experiments they come from barley and corn crops including weeds, so that some types of action can be carried out, including site-specific treatments with chemical products or mechanical manipulat...

  12. Automatic target validation based on neuroscientific literature mining for tractography

    OpenAIRE

    Xavier Vasques; Renaud Richardet; Etienne Pralong; LAURA CIF

    2015-01-01

    Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so t...

  13. Vertical Marketing as a Model of Cooperation Between Car Manufacturers and Car Trade

    OpenAIRE

    Zeljko Sudaric

    2011-01-01

    The last element of the marketing mix is the distribution and marketing channels in the automotive industry, which determine how cars will arrive at customers and end users through sales and distribution activities. Car manufacturers, regardless of how their product was excellent, must provide this value to its customers carefully selecting partners in the channel, because if its agents have poor sales in comparison to the competition the value of the product is irrelevant and unworthy. For t...

  14. Customer Relationship Management In Car Service Industry With Reference To Car Dealers In Coimbatore

    OpenAIRE

    Sathish, M; Balamurugan, R N; Sharma, Surinder Nath; Karthikeyan, Dr.P.

    2013-01-01

    The usefulness of the car is based on the customers expectation. The expectation is not only up to the purchase of the car, it continues in after sales service. Some of the general expectations of every customer include being reminded for periodical service, pick up & drop, nominal charges, etc. It indicates that for retaining customer, it would be necessary to fulfill his maximum expectations.With structured questionnaire, the co-ordinal discussions were done with the personnels managing the...

  15. 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...

  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. 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...

  18. 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....

  19. The importance of timing for breaking commuters’ car driving habits

    DEFF Research Database (Denmark)

    Thøgersen, John

    2012-01-01

    A large sample of Copenhagen car drivers were randomly assigned to either receive a free month travel card for public transportation or serve as a control group. As predicted, the free travel card neutralized the negative effect of car driving habits and made the use of public transportation more...... alternatives to car-driving....

  20. 30 CFR 56.14215 - Coupling or uncoupling cars.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Coupling or uncoupling cars. 56.14215 Section... Equipment Safety Practices and Operational Procedures § 56.14215 Coupling or uncoupling cars. Prior to coupling or uncoupling cars manually, trains shall be brought to a complete stop, and then moved at...

  1. 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...

  2. 49 CFR 238.413 - End structures of trailer cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false End structures of trailer cars. 238.413 Section... II Passenger Equipment § 238.413 End structures of trailer cars. (a) Except as provided in paragraph (b) of this section, the end structure of a trailer car shall be designed to include the...

  3. 30 CFR 57.14215 - Coupling or uncoupling cars.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Coupling or uncoupling cars. 57.14215 Section... and Equipment Safety Practices and Operational Procedures § 57.14215 Coupling or uncoupling cars. Prior to coupling or uncoupling cars manually, trains shall be brought to a complete stop, and...

  4. 49 CFR 231.18 - Cars of special construction.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Cars of special construction. 231.18 Section 231... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD SAFETY APPLIANCE STANDARDS § 231.18 Cars of special construction. Cars of construction not covered specifically in the foregoing sections in this part, relative...

  5. 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.

  6. Semi-automatic analysis of fire debris

    Science.gov (United States)

    Touron; Malaquin; Gardebas; Nicolai

    2000-05-01

    Automated analysis of fire residues involves a strategy which deals with the wide variety of received criminalistic samples. Because of unknown concentration of accelerant in a sample and the wide range of flammable products, full attention from the analyst is required. Primary detection with a photoionisator resolves the first problem, determining the right method to use: the less responsive classical head-space determination or absorption on active charcoal tube, a better fitted method more adapted to low concentrations can thus be chosen. The latter method is suitable for automatic thermal desorption (ATD400), to avoid any risk of cross contamination. A PONA column (50 mx0.2 mm i.d.) allows the separation of volatile hydrocarbons from C(1) to C(15) and the update of a database. A specific second column is used for heavy hydrocarbons. Heavy products (C(13) to C(40)) were extracted from residues using a very small amount of pentane, concentrated to 1 ml at 50 degrees C and then placed on an automatic carousel. Comparison of flammables with referenced chromatograms provided expected identification, possibly using mass spectrometry. This analytical strategy belongs to the IRCGN quality program, resulting in analysis of 1500 samples per year by two technicians. PMID:10802196

  7. 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

  8. 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.

  9. 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)

  10. Automatic programming of simulation models

    Science.gov (United States)

    Schroer, Bernard J.; Tseng, Fan T.; Zhang, Shou X.; Dwan, Wen S.

    1988-01-01

    The objective of automatic programming is to improve the overall environment for describing the program. This improved environment is realized by a reduction in the amount of detail that the programmer needs to know and is exposed to. Furthermore, this improved environment is achieved by a specification language that is more natural to the user's problem domain and to the user's way of thinking and looking at the problem. The goal of this research is to apply the concepts of automatic programming (AP) to modeling discrete event simulation system. Specific emphasis is on the design and development of simulation tools to assist the modeler define or construct a model of the system and to then automatically write the corresponding simulation code in the target simulation language, GPSS/PC. A related goal is to evaluate the feasibility of various languages for constructing automatic programming simulation tools.

  11. 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.

  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. Car Deceleration Considering Its Own Velocity in Cellular Automata Model

    Institute of Scientific and Technical Information of China (English)

    LI Ke-Ping

    2006-01-01

    In this paper, we propose a new cellular automaton model, which is based on NaSch traffic model. In our method, when a car has a larger velocity, if the gap between the car and its leading car is not enough large, it will decrease. The aim is that the following car has a buffer space to decrease its velocity at the next time, and then avoid to decelerate too high. The simulation results show that using our model, the car deceleration is realistic, and is closer to thefield measure than that of NaSch model.

  14. The 2009 Simulated Car Racing Championship

    DEFF Research Database (Denmark)

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

    2011-01-01

    on Computational Intelligence and Games (CIG). First, we describe the competition regulations and the software framework. Then, the five best teams describe the methods of computational intelligence they used to develop their drivers and the lessons they learned from the participation in the championship......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....... The organizers provide short summaries of the other competitors. Finally, we summarize the championship results, followed by a discussion about what the organizers learned about 1) the development of high-performing car racing controllers and 2) the organization of scientific competitions....

  15. 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.

  16. Shady Car Dealings and Taxing Work Practices

    DEFF Research Database (Denmark)

    Boll, Karen

    2014-01-01

    The empirical focus of this article is a ten-month ethnography of a tax audit process led by the Danish Tax and Customs Administration. The tax audit concerns a number of shady car dealings from which taxable income is not reported. This article focuses on the process whereby the tax administration...... succeeds in making some of these car dealings visible. This article draws inspiration from interpretative tax studies that consider taxation as an organisational, institutional, social and cultural phenomenon. Complementing those studies’ approaches, the present study draws both on Latour’s concept...... of the oligopticon and on Foucault’s notion of the panopticon. The analysis shows that tax inspectors produce oligoptic and panoptic visions when they account for taxpayers’ economic activities and that tax inspectors’ visions are received differently by the represented taxpayers. Some taxpayers fall out of sight...

  17. A broken heart in a broken car.

    Science.gov (United States)

    Schlossbauer, Susanne Anna; Ghadri, Jelena-Rima; Cammann, Victoria Lucia; Maier, Willibald; Lüscher, Thomas F; Templin, Christian

    2016-01-01

    Takotsubo syndrome (TTS) is still a relatively understudied and often undetected disease. It is usually preceded by emotional or physical triggers. We here report a case of TTS following a car accident. Typical apical ballooning with moderate reduction of left ventricular ejection fraction (LVEF) and increased level of pro-B-type natriuretic peptide (BNP) as well as slightly increased creatine kinase and troponin T values were found in this 76-year-old female patient, 6 h after a car accident. At 10 weeks follow-up, we observed a normalization of regional wall motion, LVEF, electrocardiogram and pro-BNP. TTS is an acute heart failure syndrome and an important differential diagnosis of acute coronary syndrome. PMID:27377800

  18. Engineering CAR-T Cells: Design Concepts

    Science.gov (United States)

    Srivastava, Shivani; Riddell, Stanley R.

    2016-01-01

    Despite being empirically designed based on a simple understanding of TCR signaling, T cells engineered with chimeric antigen receptors (CARs) have been remarkably successful in treating patients with advanced refractory B cell malignancies. However, many challenges remain in improving the safety and efficacy of this therapy and extending it toward the treatment of epithelial cancers. Other aspects TCR signaling beyond those directly provided by CD3ζ and CD28 phosphorylation strongly influence a T cell’s ability to differentiate and acquire full effector functions. Here, we discuss how the principles of TCR recognition, including spatial constraints, Kon/Koff rates, and synapse formation, along with in-depth analysis of CAR signaling might be applied to develop safer and more effective synthetic tumor targeting receptors. PMID:26169254

  19. 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

  20. 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

  1. Safety analysis report for packaging (onsite) contaminated well cars

    International Nuclear Information System (INIS)

    In support of past operations, railcars were used to ship irradiated fuel from the 100 Area fuel storage basins to the Plutonium Uranium Extraction (PUREX) Facility. There are two configurations for the packaging systems that transported the fuel: the Three-Well Cask Car, which is outfitted with three casks, and the taller, single well, New Production Reactor (NPR) Cask Car. In this document, these cask cars are referred to collectively as well cars. The purpose of this document is to evaluate and authorize the onsite transportation of well cars that contain significant levels of contamination. No irradiated fuel will be transported in the well cars. Neutron detection data confirmed that the well cars do not contain fuel. The intention is to move 14 retired well cars from their current locations in the 100 Area to a suitable storage location in the 200 Area. Each well car contains Type B quantities of radioactivity; so that the hazard of the transport operation is relatively low. This safety analysis report for packaging (SARP) provides the analyses and evaluations necessary to demonstrate that the contaminated well cars meet the transportation safety requirements of HNF-PRO-154, Responsibilities and Procedures for Hazardous Material Shipments for an onsite packaging. The scope of this document addresses the preparation and transportation of the contaminated well cars

  2. Parametric optimization of hybrid car engines

    OpenAIRE

    Bonnans, J. Frederic; Guilbaud, Thérèse; Ketfi-Cherif, Ahmed; Von Wissel, Dirk; Sagastizábal, Claudia; Zidani, Hasnaa

    2002-01-01

    We consider the problem of optimal design of hybrid car engines which combine thermic and electric power. The optimal configuration of the different motors composing the hybrid system involves the choice of certain design parameters. For a given configuration, the goal is to minimize the fuel consumption along a trajectory. This is an optimal control problem with one state variable. The simultaneous optimization of design parameters and trajectories can be formulated as a bilevel optimization...

  3. Effects of motivation on car-following

    Science.gov (United States)

    Boesser, T.

    1982-01-01

    Speed- and distance control by automobile-drivers is described best by linear models when the leading vehicles speed varies randomly and when the driver is motivated to keep a large distance. A car-following experiment required subjects to follow at 'safe' or at 'close' distance. Transfer-characteristics of the driver were extended by 1 octave when following 'closely'. Nonlinear properties of drivers control-movements are assumed to reflect different motivation-dependent control strategies.

  4. Analysis of composite car bumper reinforcement

    OpenAIRE

    Kleisner V.; Zemčík R.

    2009-01-01

    The presented work summarizes the present state of car passive safety testing according to European methodologies. The main objective is to analysis a bumper reinforcement made of composite materials. The bumper is tested according to RCAR (Research Council for Automobile Repairs) methodology using numerical simulation. Individual proposed variants are compared with the existing steel construction which does not comply with manufacturers specifications. The PAM-Crash software is used for the ...

  5. 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!"

  6. Archetypes and Mythical Narratives in Car Advertising

    OpenAIRE

    Barbara LÄMMLEIN

    2014-01-01

    This article represents an excerpt of the PhD thesis Branding & Advertising and Communication Strategies by the author. Within this thesis inter - disciplinary approaches for deciphering messages of selected car advertising were used. Multiple methods and paradigms such as cultural studies, media communication, sociology, anthropology, semiotics, and psychoanalysis, were applied in order to analyze TV spots and print advertisements from a variety of angles. The purpose of this strategy was to...

  7. Acute neuromuscular responses to car racing

    OpenAIRE

    Backman, Jani

    2005-01-01

    Purpose: The primary purpose of this study was to determine racing car drivers’ acute neuromuscular responses to race driving. The secondary purpose was to compare the cardiovascular loading of driving to that of maximal rowing action. Methods: The subjects of the present cross-sectional study (n = 9) were international level karting drivers. The study was performed in two parts; the laboratory tests and driving test. All subjects took part to the laboratory tests and five of the subjects per...

  8. 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...

  9. CARS 2009. Computer assisted radiology and surgery. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Anon.

    2009-06-15

    The CARS 2009 proceedings include contributions and poster sessions concerning different conferences and workshops: computer assisted radiology, 23rd international congress and exhibition, CARS clinical day, 13th annual conference of the international society for computer aided surgery, 10th CARS/SPIE/EuroPACS joint workshop on surgical PACS and the digital operating, 11th international workshop on computer-aided diagnosis, 15th computed maxillofacial imaging congress, CARS - computer assisted radiology and surgery, 1st EPMA/CARS workshop on personalized medicine and ICT, JICARS - Japanese institutes of CARS, 1st EuroNotes/CTAC/CARS workshop on NOTES: an interdisciplinary challenge, 13th annual conference for computer aided surgery, 27th international EuroPACS meeting.

  10. 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. PMID:26965523

  11. 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.

  12. 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.

  13. 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.

  14. 49 CFR 210.9 - Movement of a noise defective locomotive, rail car, or consist of a locomotive and rail cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Movement of a noise defective locomotive, rail car, or consist of a locomotive and rail cars. 210.9 Section 210.9 Transportation Other Regulations... locomotive, rail car, or consist of a locomotive and rail cars. A locomotive, rail car, or consist of...

  15. 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. PMID:27080131

  16. 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.

  17. 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.

  18. 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.

  19. External exposure dose of car mechanics during the maintenance of the cars from the risk cautionary area

    International Nuclear Information System (INIS)

    At the request of the Local Nuclear Emergency Response Headquarters, JNES has estimated the effective external exposure dose of car mechanics during the maintenance of the cars from the risk cautionary area. JNES investigated the contamination of the cars from the risk cautionary area and of the average cars at Fukushima city cooperated by the Japan Automobile Dealers Association. Data of screed cars by the Local Nuclear Emergency Response Headquarters is also considered in. Effective external exposure dose of car mechanics treating the cars screened with the emergency situation screening level is estimated to be less than 1 mSv/y under the conservative conditions. This result shows that particular health concern isn't necessary for them. (author)

  20. Effect of car speed on amount of air supplied by ventilation system to the space of car cabin

    Science.gov (United States)

    Fišer, Jan; Pokorný, Jan

    2014-03-01

    The amount of air supplied by ventilation system (HVAC system) of a car into a cabin is one of the main parameters for the correct simulation and prediction of a car cabin heat load. This amount is not based only on the current setting of the HVAC system, but also on the actual operating conditions and speed of the car. The authors therefore carried out experiments in the cabin of a passenger car in real traffic, while observing the amount of air on the speed of the car and setting of flap in mixing chamber. In a subsequent analysis the authors defined dependence of the airflow rate supplied by HVAC system on the speed of the car. Obtained empirical formulas were then used as a part of the code which calculates the data for the HVAC boundary conditions in the simulation of the car cabin environment.