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Sample records for automatic car identification

  1. Identification of Car Passengers with RFID for Automatic Crash Notification

    OpenAIRE

    Ouyang, Dongfang

    2009-01-01

    Automatic Crash Notification is a system designed to be used in a crash situation. When a crash occurs, the intelligent system is activated and automatically sends select crash details to the appropriate Emergency Medical Service Center. These details can be the position of the vehicle and the likely severity of the damage. Using the information, the medical treatment resources demanded for the accident is assessed at Emergency Center. Accordingly, first-aid facilities are promptly and proper...

  2. PLC Based Automatic Multistoried Car Parking System

    Directory of Open Access Journals (Sweden)

    Swanand S .Vaze

    2014-12-01

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

  3. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

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

  4. Automatic Identification of Metaphoric Utterances

    Science.gov (United States)

    Dunn, Jonathan Edwin

    2013-01-01

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

  5. AUTOMATIC RECOGNITION OF FREIGHT CAR NUMBER

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

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

  6. Automatic 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. Evolving a rule system controller for automatic driving in a car racing competition

    OpenAIRE

    Pérez, Diego; Sáez, Yago; Recio, Gustavo; Isasi, Pedro

    2008-01-01

    The techniques and the technologies supporting Automatic Vehicle Guidance are important issues. Automobile manufacturers view automatic driving as a very interesting product with motivating key features which allow improvement of the car safety, reduction in emission or fuel consumption or optimization of driver comfort during long journeys. Car racing is an active research field where new advances in aerodynamics, consumption and engine power are critical each season. Our proposal i...

  12. 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

  13. 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 ...

  14. 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...

  15. 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.

  16. 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. ...

  17. ROAD DIAGNOSING OF THE CAR WITH AUTOMATIC TRANSMISSION

    OpenAIRE

    Volkov, V; Rabinovich, E.; Zybtsev, Y.

    2013-01-01

    Because of the way of automatic transmission functioning it is possible to diagnose Honda Civic 4d by acceleration in the mode S, but not in the manual mode. When the length of the horizontal section of the road is about 500 meters, acceleration test should be executed from 60 to 100 or 120 km/h, coast-down test - from 50 or 40 km/h to 20 km/h.

  18. Automatic language identification using deep neural networks

    OpenAIRE

    López-Moreno, Ignacio; González-Domínguez, Javier; Oldrich, Plchot; David R Martínez; González-Rodríguez, Joaquín

    2014-01-01

    Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. I. López-Moreno, J. González-Domínguez, P. Oldrich, D. R. Martínez, J. González-Rodríguez, "Automatic language identification ...

  19. 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

  20. 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

  1. 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.

  2. The problem of automatic identification of concepts

    International Nuclear Information System (INIS)

    This paper deals with the problem of the automatic recognition of concepts and describes an important language tool, the ''linguistic filter'', which facilitates the construction of statistical algorithms. Certain special filters, of prepositions, conjunctions, negatives, logical implication, compound words, are presented. This is followed by a detailed description of a statistical algorithm allowing recognition of pronoun referents, and finally the problem of the automatic treatment of negatives in French is discussed

  3. 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.

  4. 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.

  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. 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.

  7. On the advances of automatic modal identification for SHM

    Directory of Open Access Journals (Sweden)

    Cardoso Rharã

    2015-01-01

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

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

    Science.gov (United States)

    Serrão, Carlos

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

  9. 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. Feature dependence in the automatic identification of musical woodwind instruments.

    Science.gov (United States)

    Brown, J C; Houix, O; McAdams, S

    2001-03-01

    The automatic identification of musical instruments is a relatively unexplored and potentially very important field for its promise to free humans from time-consuming searches on the Internet and indexing of audio material. Speaker identification techniques have been used in this paper to determine the properties (features) which are most effective in identifying a statistically significant number of sounds representing four classes of musical instruments (oboe, sax, clarinet, flute) excerpted from actual performances. Features examined include cepstral coefficients, constant-Q coefficients, spectral centroid, autocorrelation coefficients, and moments of the time wave. The number of these coefficients was varied, and in the case of cepstral coefficients, ten coefficients were sufficient for identification. Correct identifications of 79%-84% were obtained with cepstral coefficients, bin-to-bin differences of the constant-Q coefficients, and autocorrelation coefficients; the latter have not been used previously in either speaker or instrument identification work. These results depended on the training sounds chosen and the number of clusters used in the calculation. Comparison to a human perception experiment with sounds produced by the same instruments indicates that, under these conditions, computers do as well as humans in identifying woodwind instruments. PMID:11303920

  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. 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

  14. 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…

  15. 33 CFR 164.43 - Automatic Identification System Shipborne Equipment-Prince William Sound.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false Automatic Identification System Shipborne Equipment-Prince William Sound. 164.43 Section 164.43 Navigation and Navigable Waters COAST GUARD... Automatic Identification System Shipborne Equipment—Prince William Sound. (a) Until December 31, 2004,...

  16. 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.

  17. 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.

  18. Search and decoy: the automatic identification of mass spectra.

    Science.gov (United States)

    Eisenacher, Martin; Kohl, Michael; Turewicz, Michael; Koch, Markus-Hermann; Uszkoreit, Julian; Stephan, Christian

    2012-01-01

    In recent years, the generation and interpretation of MS/MS spectra for the identification of peptides and proteins has matured to a frequently used automatic workflow in Proteomics. Several software solutions for the automated analysis of MS/MS spectra allow for high-throughput/high-performance analyses of complex samples. Related to MS/MS searches, target-decoy approaches have gained more and more popularity: in a "decoy" part of the search database nonexistent sequences mimic real sequences (the "target" sequences). With their help, the number of falsely identified peptides/proteins can be estimated after a search and the resulting protein list can be cut at a specified false discovery rate (FDR). This is an essential prerequisite for all quantitative approaches, as they rely on correct identifications. Especially the label-free approach "spectral counting"-gaining more and more popularity due to low costs and simplicity-depends directly on the correctness of peptide-spectrum matches (PSMs). This work's aim is to describe five popular search engines-especially their general properties regarding protein identification, but also their quantification abilities, if those go beyond spectral counting. By doing so, Proteomics researchers are enabled to compare their features and to choose an appropriate solution for their specific question. Furthermore, the search engines are applied to a spectrum data set generated from a complex sample with a Thermo LTQ Velos OrbiTrap (Thermo Fisher Scientific, Waltham, MA, USA). The results of the search engines are compared, e.g., regarding time requirements, peptides and proteins found, and the search engines' behavior using the decoy approach. PMID:22665317

  19. 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.

  20. 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.

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

    CERN Document Server

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

    2007-01-01

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

  2. Wavelet Packet Based Features for Automatic Script Identification

    Directory of Open Access Journals (Sweden)

    M.C. Padma & P. A. Vijaya

    2010-08-01

    Full Text Available 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 document images are decomposed through theWavelet Packet Decomposition using the Haar basis function up to level two.Gray level co-occurrence matrix is constructed for the coefficient sub bands ofthe wavelet transform. The Haralick texture features are extracted from the cooccurrencematrix and then used in the identification of the script of a machineprinted document. Experimentation conducted involved 3000 text images forlearning and 2500 text images for testing. Script classification performance isanalyzed using the K-nearest neighbor classifier. The average success rate isfound to be 98.24%.

  3. 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.

  4. 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.

  5. 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...

  6. Automatic resource identification for FPGA-based reconfigurable measurement and control systems with mezzanines in FMC standard

    Science.gov (United States)

    Wojenski, Andrzej; Kasprowicz, Grzegorz; Pozniak, Krzysztof T.; Romaniuk, Ryszard

    2013-10-01

    The paper describes a concept of automatic resources identification algorithm used in reconfigurable measurement systems. In the paper is also presented a concept of algorithm for automatic generation of HDL codes (firmware) and management of reconfigurable measurement and control systems. Following sections are described in details: definition of measurement system, FMC boards installation, automatic FPGA startup configuration, automatic FMC detection and automatic card identification. Reconfigurable measurement and control systems are using FPGA devices and mezzanines in FMC standard. This work is a part of a wider project for automatic firmware generation and management of reconfigurable systems.

  7. 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.

  8. Automatic Identification of Human Erythrocytes in Microscopic Fecal Specimens.

    Science.gov (United States)

    Liu, Lin; Lei, Haoting; Zhang, Jing; Yuan, Yang; Zhang, Zhenglong; Liu, Juanxiu; Xie, Yu; Ni, Guangming; Liu, Yong

    2015-11-01

    Traditional fecal erythrocyte detection is performed via a manual operation that is unsuitable because it depends significantly on the expertise of individual inspectors. To recognize human erythrocytes automatically and precisely, automatic segmentation is very important for extraction of characteristics. In addition, multiple recognition algorithms are also essential. This paper proposes an algorithm based on morphological segmentation and a fuzzy neural network. The morphological segmentation process comprises three operational steps: top-hat transformation, Otsu's method, and image binarization. Following initial screening by area and circularity, fuzzy c-means clustering and the neural network algorithms are used for secondary screening. Subsequently, the erythrocytes are screened by combining the results of five images obtained at different focal lengths. Experimental results show that even when the illumination, noise pollution, and position of the erythrocytes are different, they are all segmented and labeled accurately by the proposed method. Thus, the proposed method is robust even in images with significant amounts of noise. PMID:26349804

  9. Automatic Part Primitive Feature Identification Based on Faceted Models

    Directory of Open Access Journals (Sweden)

    Muizuddin Azka

    2012-09-01

    Full Text Available Feature recognition technology has been developed along with the process of integrating CAD/CAPP/CAM. Automatic feature detection applications based on faceted models expected to speed up the manufacturing process design activities such as setting tool to be used or required machining process in a variety of different features. This research focuses on detection of primitive features available in a part. This is done by applying part slicing and grouping adjacent facets. Type of feature is identified by simply evaluating normal vector direction of all features group. In order to identify features on various planes of a part, planes, one at a time, are rotated to be parallel with the reference plane. The results showed that this method can identify the primitive features automatically accurately in all planes of tested part, this covered : pocket, cylindrical and profile feature.

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

    Science.gov (United States)

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

    2015-01-01

    The nuclear receptor family member constitutive activated receptor (CAR) is activated by structurally diverse drugs and environmentally-relevant chemicals leading to transcriptional regulation of genes involved in xenobiotic metabolism and transport. Chronic activation of CAR increases liver cancer incidence in rodents, whereas suppression of CAR can lead to steatosis and insulin insensitivity. Here, analytical methods were developed to screen for chemical treatments in a gene expression compendium that lead to alteration of CAR activity. A gene expression biomarker signature of 83 CAR-dependent genes was identified using microarray profiles from the livers of wild-type and CAR-null mice after exposure to three structurally-diverse CAR activators (CITCO, phenobarbital, TCPOBOP). A rank-based algorithm (Running Fisher’s algorithm (p-value ≤ 10-4)) was used to evaluate the similarity between the CAR biomarker signature and a test set of 28 and 32 comparisons positive or negative, respectively, for CAR activation; the test resulted in a balanced accuracy of 97%. The biomarker signature was used to identify chemicals that activate or suppress CAR in an annotated mouse liver/primary hepatocyte gene expression database of ~1850 comparisons. CAR was activated by 1) activators of the aryl hydrocarbon receptor (AhR) in wild-type but not AhR-null mice, 2) pregnane X receptor (PXR) activators in wild-type and to lesser extents in PXR-null mice, and 3) activators of PPARα in wild-type and PPARα-null mice. CAR was consistently activated by five conazole fungicides and four perfluorinated compounds. Comparison of effects in wild-type and CAR-null mice showed that the fungicide propiconazole increased liver weight and hepatocyte proliferation in a CAR-dependent manner, whereas the perfluorinated compound perfluorooctanoic acid (PFOA) increased these endpoints in a CAR-independent manner. A number of compounds suppressed CAR coincident with increases in markers of

  14. 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.

  15. 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)

  16. 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.

  17. 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

  18. 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 is...

  19. Automatic failure identification of the nuclear power plant pellet fuel

    International Nuclear Information System (INIS)

    This paper proposed the development of an automatic technique for evaluating defects to help in the stage of fabrication of fuel elements. Was produced an intelligent image analysis for automatic recognition of defects in uranium pellets. Therefore, an Artificial Neural Network (ANN) was trained using segments of histograms of pellets, containing examples of both normal (no fault) and of defectives pellets (with major defects normally found). The images of the pellets were segmented into 11 shares. Histograms were made of these segments and trained the ANN. Besides automating the process, the system was able to obtain this classification accuracy of 98.33%. Although this percentage represents a significant advance ever in the quality control process, the use of more advanced techniques of photography and lighting will reduce it to insignificant levels with low cost. Technologically, the method developed, should it ever be implemented, will add substantial value in terms of process quality control and production outages in relation to domestic manufacturing of nuclear fuel. (author)

  20. Automatic Validation of Phosphopeptide Identifications from Tandem Mass Spectra

    OpenAIRE

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

    2007-01-01

    We developed and compared two approaches for automated validation of phosphopeptides tandem mass spectra identified using database searching algorithms. Phosphopeptide identifications were obtained through SEQUEST searches of a protein database appended with its decoy (reversed sequences). Statistical evaluation and iterative searches were employed to create a high quality dataset of phosphopeptides. Automation of post-search validation was approached by two different strategies. By using sta...

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

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

    OpenAIRE

    Farid Andhika; Trika Pitana; Achmad Affandi

    2012-01-01

    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 sehin...

  7. 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.

  8. 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%.

  9. A pattern recognition approach based on DTW for automatic transient identification in nuclear power plants

    International Nuclear Information System (INIS)

    Highlights: • Novel transient identification method for NPPs. • Low-complexity. • Low training data requirements. • High accuracy. • Fully reproducible protocol carried out on a real benchmark. - Abstract: Automatic identification of transients in nuclear power plants (NPPs) allows monitoring the fatigue damage accumulated by critical components during plant operation, and is therefore of great importance for ensuring that usage factors remain within the original design bases postulated by the plant designer. Although several schemes to address this important issue have been explored in the literature, there is still no definitive solution available. In the present work, a new method for automatic transient identification is proposed, based on the Dynamic Time Warping (DTW) algorithm, largely used in other related areas such as signature or speech recognition. The novel transient identification system is evaluated on real operational data following a rigorous pattern recognition protocol. Results show the high accuracy of the proposed approach, which is combined with other interesting features such as its low complexity and its very limited requirements of training data

  10. 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。

  11. 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.

  12. 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

  13. 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.

  14. 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

  15. 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

  16. 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...

  17. Automatic identification of shallow landslides based on Worldview2 remote sensing images

    Science.gov (United States)

    Ma, Hai-Rong; Cheng, Xinwen; Chen, Lianjun; Zhang, Haitao; Xiong, Hongwei

    2016-01-01

    Automatic identification of landslides based on remote sensing images is important for investigating disasters and producing hazard maps. We propose a method to detect shallow landslides automatically using Wordview2 images. Features such as high soil brightness and low vegetation coverage can help identify shallow landslides on remote sensing images. Therefore, soil brightness and vegetation index were chosen as indexes for landslide remote sensing. The back scarp of a landslide can form dark shadow areas on the landslide mass, affecting the accuracy of landslide extraction. To eliminate this effect, the shadow index was chosen as an index. The first principal component (PC1) contained >90% of the image information; therefore, this was also selected as an index. The four selected indexes were used to synthesize a new image wherein information on shallow landslides was enhanced, while other background information was suppressed. Then, PC1 was extracted from the new synthetic image, and an automatic threshold segmentation algorithm was used for segmenting the image to obtain similar landslide areas. Based on landslide features such as slope, shape, and area, nonlandslide areas were eliminated. Finally, four experimental sites were used to verify the feasibility of the developed method.

  18. 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...

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

    Directory of Open Access Journals (Sweden)

    Ferrández Oscar

    2012-07-01

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

  20. 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.

  1. 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.

  2. Automatic modal identification of cable-supported bridges instrumented with a long-term monitoring system

    Science.gov (United States)

    Ni, Y. Q.; Fan, K. Q.; Zheng, G.; Chan, T. H. T.; Ko, J. M.

    2003-08-01

    An automatic modal identification program is developed for continuous extraction of modal parameters of three cable-supported bridges in Hong Kong which are instrumented with a long-term monitoring system. The program employs the Complex Modal Indication Function (CMIF) algorithm to identify modal properties from continuous ambient vibration measurements in an on-line manner. By using the LabVIEW graphical programming language, the software realizes the algorithm in Virtual Instrument (VI) style. The applicability and implementation issues of the developed software are demonstrated by using one-year measurement data acquired from 67 channels of accelerometers deployed on the cable-stayed Ting Kau Bridge. With the continuously identified results, normal variability of modal vectors caused by varying environmental and operational conditions is observed. Such observation is very helpful for selection of appropriate measured modal vectors for structural health monitoring applications.

  3. Benefit Analyses of Technologies for Automatic Identification to Be Implemented in the Healthcare Sector

    Science.gov (United States)

    Krey, Mike; Schlatter, Ueli

    The tasks and objectives of automatic identification (Auto-ID) are to provide information on goods and products. It has already been established for years in the areas of logistics and trading and can no longer be ignored by the German healthcare sector. Some German hospitals have already discovered the capabilities of Auto-ID. Improvements in quality, safety and reductions in risk, cost and time are aspects and areas where improvements are achievable. Privacy protection, legal restraints, and the personal rights of patients and staff members are just a few aspects which make the heath care sector a sensible field for the implementation of Auto-ID. Auto-ID in this context contains the different technologies, methods and products for the registration, provision and storage of relevant data. With the help of a quantifiable and science-based evaluation, an answer is sought as to which Auto-ID has the highest capability to be implemented in healthcare business.

  4. 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

  5. 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

  6. 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

  7. 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.

  8. Distortionary Company Car Taxation: Deadweight Losses through Increased Car Ownership

    OpenAIRE

    Jos N. van Ommeren; Gutierrez-i-Puigarnau, Eva

    2011-01-01

    This discussion paper led to a publication in Empirical Economics 2013, 45(3), 1189-1204. We analyse the effects of distortionary company car taxation through increased household carownership for the Netherlands. We use several identification strategies and demonstrate thatfor about 20 percent of households company car possession increases car ownership. Theannual welfare loss of distortionary company taxation through increased car ownership isgenerally rather small, maximally €120 per compan...

  9. Car Art.

    Science.gov (United States)

    Meilach, Dona Z.

    2002-01-01

    Discusses car art and its appeal to boys and girls. Describes the popularity of customizing cars, focusing on this as a future career for students. Includes a list of project ideas that focuses on car art. (CMK)

  10. 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.

  11. 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.

  12. 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

  13. 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.

  14. 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

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

    Energy Technology Data Exchange (ETDEWEB)

    Clark, R K

    1980-06-26

    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.

  16. 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

  17. 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

  18. GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy

    International Nuclear Information System (INIS)

    We demonstrate acceleration on graphic processing units (GPU) of automatic identification of robust particle therapy beam setups, minimizing negative dosimetric effects of Bragg peak displacement caused by treatment-time patient positioning errors. Our particle therapy research toolkit, RobuR, was extended with OpenCL support and used to implement calculation on GPU of the Port Homogeneity Index, a metric scoring irradiation port robustness through analysis of tissue density patterns prior to dose optimization and computation. Results were benchmarked against an independent native CPU implementation. Numerical results were in agreement between the GPU implementation and native CPU implementation. For 10 skull base cases, the GPU-accelerated implementation was employed to select beam setups for proton and carbon ion treatment plans, which proved to be dosimetrically robust, when recomputed in presence of various simulated positioning errors. From the point of view of performance, average running time on the GPU decreased by at least one order of magnitude compared to the CPU, rendering the GPU-accelerated analysis a feasible step in a clinical treatment planning interactive session. In conclusion, selection of robust particle therapy beam setups can be effectively accelerated on a GPU and become an unintrusive part of the particle therapy treatment planning workflow. Additionally, the speed gain opens new usage scenarios, like interactive analysis manipulation (e.g. constraining of some setup) and re-execution. Finally, through OpenCL portable parallelism, the new implementation is suitable also for CPU-only use, taking advantage of multiple cores, and can potentially exploit types of accelerators other than GPUs.

  19. 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...... 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 the transformation of intentions to commute by public transportation into action....

  20. 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

  1. Car Sickness

    Science.gov (United States)

    ... in Action Medical Editor & Editorial Advisory Board Sponsors Sponsorship Opporunities Spread the Word Shop AAP Find a ... Share Car Sickness Page Content Article Body My child gets sick in the car quite often. How ...

  2. Discovery of mass spectral characteristics and automatic identification of wax esters from gas chromatography mass spectrometry data.

    Science.gov (United States)

    Zhang, Liang-xiao; Yun, Yi-feng; Liang, Yi-zeng; Cao, Dong-sheng

    2010-06-01

    The mass spectral characteristics of wax esters were systemically summarized and interpreted through data mining of their standard mass spectra taken from NIST standard mass spectral library. Combining with the rules of retention indices described in the previous study, an automatic system was subsequently developed to identify the structural information for wax esters from GC/MS data. After tested and illustrated by both simulated and real GC/MS data, the results indicate that this system could identify wax esters except the polyunsaturated ones and the mass spectral characteristics are useful and effective information for identification of wax esters. PMID:20417935

  3. 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

  4. 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)

  5. 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

  6. A semi-automatic model for sinkhole identification in a karst area of Zhijin County, China

    Science.gov (United States)

    Chen, Hao; Oguchi, Takashi; Wu, Pan

    2015-12-01

    The objective of this study is to investigate the use of DEMs derived from ASTER and SRTM remote sensing images and topographic maps to detect and quantify natural sinkholes in a karst area in Zhijin county, southwest China. Two methodologies were implemented. The first is a semi-automatic approach which stepwise identifies the depression using DEMs: 1) DEM acquisition; 2) sink fill; 3) sink depth calculation using the difference between the original and sinkfree DEMs; and 4) elimination of the spurious sinkholes by the threshold values of morphometric parameters including TPI (topographic position index), geology, and land use. The second is the traditional visual interpretation of depressions based on the integrated analysis of the high-resolution aerial photographs and topographic maps. The threshold values of the depression area, shape, depth and TPI appropriate for distinguishing true depressions were abstained from the maximum overall accuracy generated by the comparison between the depression maps produced by the semi-automatic model or visual interpretation. The result shows that the best performance of the semi-automatic model for meso-scale karst depression delineation was using the DEM from the topographic maps with the thresholds area >~ 60 m2, ellipticity >~ 0.2 and TPI <= 0. With these realistic thresholds, the accuracy of the semi-automatic model ranges from 0.78 to 0.95 for DEM resolutions from 3 to 75 m.

  7. 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...

  8. 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 ...

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

    OpenAIRE

    Tay, Christopher

    2004-01-01

    One of the challenges in the automation of vehicles takes place in the car park. Automatic vehicles must be able to localize itself accurately and build a map of the car park in real time. This capability will be able to extend the range of possible applications including the tracking of car park lots availability, automatic navigation and automatic parking to name a few. In this project, we took on the task of localizing an automatic vehicle and building a map of the car park in real time. T...

  10. 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

  11. 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)

  12. 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...

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

    OpenAIRE

    Wartner, Christian; Arnold, Patrick; Rahm, Erhard

    2015-01-01

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

  14. On the automatic detection of otolith features for fish species identification and their age estimation

    OpenAIRE

    Sória Pérez, José A. (José Antonio)

    2013-01-01

    This thesis deals with the automatic detection of features in signals, either extracted from photographs or captured by means of electronic sensors, and its possible application in the detection of morphological structures in fish otoliths so as to identify species and estimate their age at death. From a more biological perspective, otoliths, which are calcified structures located in the auditory system of all teleostean fish, constitute one of the main elements employed in the study and mana...

  15. Map++: A Crowd-sensing System for Automatic Map Semantics Identification

    OpenAIRE

    Aly, Heba; Basalamah, Anas; Youssef, Moustafa

    2015-01-01

    Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich semantic information to support a large class of mapping applications. In this paper, we present Map++, a system that leverages standard cell-phone sensors in a crowdsensing approach to automatically enrich digital maps with different road semantics like tunnels, bumps, bridges, footbridges, crosswalks, road capacity, among o...

  16. 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...

  17. Automatic recognition of type III solar radio bursts. Automated radio burst identification system method and first observations

    International Nuclear Information System (INIS)

    Complete text of publication follows. Because of the rapidly increasing role of technology, including complicated electronic systems, spacecraft, etc., modern society has become more vulnerable to a set of extraterrestrial influences (space weather) and requires continuous observation and forecasts of space weather. The major space weather events like solar flares and coronal mass ejections are usually accompanied by solar radio bursts, which can be used for a real-time space weather forecast. Coronal type III radio bursts are produced near the local electron plasma frequency and near its harmonic by fast electrons ejected from the solar active regions and moving through the corona and solar wind. These bursts have dynamic spectra with frequency rapidly falling with time, the typical duration of the coronal burst being about 1-3 s. This paper presents a new method developed to detect coronal type III bursts automatically and its implementation in a new Automated Radio Burst Identification System (ARBIS), which is working in real-time. The central idea of the implementation is to use the Radon transform for more objective detection of the bursts as approximately straight lines in dynamic spectra. Preliminary tests of the method with the use of the spectra obtained during 13 days show that the performance of the current implementation is quite high, ∼84%, while no false positives are observed and 23 events not listed previously are found. The first automatically detected coronal type III radio bursts are presented.

  18. 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.

  19. 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

  20. 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...

  1. 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.

  2. Driving Cars by Means of Genetic Algorithms

    OpenAIRE

    Sáez, Yago; Pérez, Diego; Sanjuan, Óscar; Isasi, Pedro

    2008-01-01

    The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue. Automobile manufacturers view automatic driving as a very interesting product with motivating key features which allow improvement of the safety of the car, reducing emission or fuel consumption or optimizing driver comfort during long journeys. Car racing is an active research field where new advances in aerodynamics, consumption and engine power are critical each season. Our proposal is to rese...

  3. 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.

  4. 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.

  5. 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.

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

    Science.gov (United States)

    Yang, Hui; Garibaldi, Jonathan M

    2015-12-01

    Coronary artery disease (CAD) is the leading cause of death in both the UK and worldwide. The detection of related risk factors and tracking their progress over time is of great importance for early prevention and treatment of CAD. This paper describes an information extraction system that was developed to automatically identify risk factors for heart disease in medical records while the authors participated in the 2014 i2b2/UTHealth NLP Challenge. Our approaches rely on several nature language processing (NLP) techniques such as machine learning, rule-based methods, and dictionary-based keyword spotting to cope with complicated clinical contexts inherent in a wide variety of risk factors. Our system achieved encouraging performance on the challenge test data with an overall micro-averaged F-measure of 0.915, which was competitive to the best system (F-measure of 0.927) of this challenge task. PMID:26375492

  7. 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...

  8. 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.

  9. 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。

  10. 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 .

  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. 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

  15. 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。

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. 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

  3. 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.

  4. 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!

  5. Automatic Peak Identification in Scanning Electron Microscopy/Energy Dispersive X-ray (SEM/EDS) Microanalysis: Can You Always Trust the Results?

    Science.gov (United States)

    Newbury, D.

    2006-05-01

    The degree of sophistication of computer-aided scanning electron microscopy/energy dispersive x-ray spectrometry (SEM/EDS) microanalysis has advanced to the point where it is possible with a single command to automatically perform sequential qualitative analysis (peak identification) and quantitative analysis and then create a report of analysis with full statistical support. Often the actual algorithms employed in commercial software for each stage of the analysis are not provided or tested in sufficient detail nor are any inherent limitations in applying such "black box" software described to enable the analyst to estimate the performance. The identification of the elements responsible for the characteristic peaks in the EDS spectrum is obviously the first critical step in performing a robust analysis. Can the software be trusted to always deliver the correct elemental identification for the easiest possible case: peaks with high intensity and high peak-to-background that arise from major constituents (i.e., concentration, C above 0.1 mass fraction = 10 weight percent) and which do not suffer peak interference from another constituent? Unfortunately, testing of automatic peak identification procedures in a series of commercial systems has revealed that serious mistakes occur approximately 3 to 5 percent of the time for this easiest case [1]. Moreover, these mistakes are not random but occur systematically for certain elements. The situation is even worse when minor (C from 0.01 to 0.1) and trace (C less than 0.01) constituents are of interest or when analysis is performed under "low voltage" conditions (beam energy 5 keV or less). The prudent analyst will always use manual peak identification procedures to provide confirmation of automatic peak identification results before proceeding to quantitative analysis [2]. [1] Newbury, D., Microscopy and Microanalysis, 11 (2005) 545. [2] Goldstein, J., Newbury, D., Joy, D., Lyman, C., Echlin, P., Lifshin, E., Sawyer, L

  6. 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.

  7. PC-based car license plate reader

    Science.gov (United States)

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

    1992-11-01

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

  8. Identification time constants of the synchronous machine in high reliability power supply systems in Kozloduy NPP for mathematical modeling of automatical control system

    International Nuclear Information System (INIS)

    This article presents the results of subjects identification, for following of creating base models in Simulink (included in Matlab5.3) of automatic control system, synchronous generator and motor. The method for timing rows analysis is used the received third line contains the machine's time constants: d axis transient short - circuit time constant Td' and consist of mechanical parameters, initial conditions and saturation parameters. The results of research allow creating models of type 'machine-regulator', for analysis in Simulink to Matlab identically by specification objects. (authors)

  9. 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...

  10. 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

  11. 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...

  12. 30 CFR 75.1404 - Automatic brakes; speed reduction gear.

    Science.gov (United States)

    2010-07-01

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

  13. An image analysis and classification system for automatic weed species identification in different crops for precision weed management

    OpenAIRE

    Weis, Martin

    2010-01-01

    A system for the automatic weed detection in arable fields was developed in this thesis. With the resulting maps, weeds in fields can be controlled on a sub-field level, according to their abundance. The system contributes to the emerging field of Precision Farming technologies. Precision Farming technologies have been developed during the last two decades to refine the agricultural management practise. The goal of Precision Farming is to vary treatments within fields, according to the local ...

  14. 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...

  15. Automatic identification approach for high-performance liquid chromatography-multiple reaction monitoring fatty acid global profiling.

    Science.gov (United States)

    Tie, Cai; Hu, Ting; Jia, Zhi-Xin; Zhang, Jin-Lan

    2015-08-18

    Fatty acids (FAs) are a group of lipid molecules that are essential to organisms. As potential biomarkers for different diseases, FAs have attracted increasing attention from both biological researchers and the pharmaceutical industry. A sensitive and accurate method for globally profiling and identifying FAs is required for biomarker discovery. The high selectivity and sensitivity of high-performance liquid chromatography-multiple reaction monitoring (HPLC-MRM) gives it great potential to fulfill the need to identify FAs from complicated matrices. This paper developed a new approach for global FA profiling and identification for HPLC-MRM FA data mining. Mathematical models for identifying FAs were simulated using the isotope-induced retention time (RT) shift (IRS) and peak area ratios between parallel isotope peaks for a series of FA standards. The FA structures were predicated using another model based on the RT and molecular weight. Fully automated FA identification software was coded using the Qt platform based on these mathematical models. Different samples were used to verify the software. A high identification efficiency (greater than 75%) was observed when 96 FA species were identified in plasma. This FAs identification strategy promises to accelerate FA research and applications. PMID:26189701

  16. 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....

  17. 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。

  18. 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...

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

    Science.gov (United States)

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

    2015-12-01

    De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informatics for Integrating Biology and Bedside) clinical natural language processing (NLP) challenge sets up a track for de-identification (track 1). In this study, we propose a hybrid system based on both machine learning and rule approaches for the de-identification track. In our system, PHI instances are first identified by two (token-level and character-level) conditional random fields (CRFs) and a rule-based classifier, and then are merged by some rules. Experiments conducted on the i2b2 corpus show that our system submitted for the challenge achieves the highest micro F-scores of 94.64%, 91.24% and 91.63% under the "token", "strict" and "relaxed" criteria respectively, which is among top-ranked systems of the 2014 i2b2 challenge. After integrating some refined localization dictionaries, our system is further improved with F-scores of 94.83%, 91.57% and 91.95% under the "token", "strict" and "relaxed" criteria respectively. PMID:26122526

  20. 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.

  1. 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...

  2. 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.

  3. Intelligent Car System

    OpenAIRE

    Qasim Siddique

    2009-01-01

    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 o...

  4. 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.

  5. 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,...

  6. 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.

  7. 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...

  8. 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.

  9. 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

  10. 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...

  11. 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.

  12. Breaking car use habits

    DEFF Research Database (Denmark)

    Thøgersen, John; Møller, Berit Thorup

    2008-01-01

    Based on calls for innovative ways of reducing car traffic and research indicating that car driving is often the result of habitual decision-making and choice processes, this paper reports on a field experiment designed to test a tool aimed to entice drivers to skip the habitual choice of the car...... 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...

  13. Electric Car Special

    Energy Technology Data Exchange (ETDEWEB)

    Zoethout, T.; Belin, H.; Verwijs, H.; Nicola, S.; De Saint Jacob, Y.; Gatermann, R.

    2009-09-15

    In six articles, two columns and two interviews a part of this issue is dedicated to electric car developments: about winners and losers in the electric car race; a unique business model to rolling out the electric car by the electric battery company Better Place and the automobile industry Renault Nissan; interview with entrepreneur Shai Agassi of the Indian company Better Place; the development of electric cars in Germany; interview with Jean-Jacques Chanaron, an economist specialising in innovation management and a firm believer in electric cars; start of mass production of electric vehicles at the Japanese Nissan automobile industry; the constraints in Sweden in developing fuel-efficient automobiles; plans for 1 million electric or hybrid cars by 2025 in the Netherlands.

  14. 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...

  15. 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

  16. 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.

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

    International Nuclear Information System (INIS)

    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 ZAMS ≳ 70 M ☉ star undergoing one or two outbursts in its lifetime. However, we do identify a significant population of 18 lower luminosity (log (L/L ☉) ≅ 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 ZAMS < 60 M ☉ 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 ☉, 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

  18. 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.

  19. Car stickers for 2012

    CERN Document Server

    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

  20. Car stickers for 2011

    CERN Document Server

    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

  1. 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.

  2. 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

  3. 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.…

  4. 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)

  5. 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.

  6. 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)

  7. Cars submerged in water.

    OpenAIRE

    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 to assist the vehicle occupants to escape from a car submerged in water. An adequate road design, barrier constructions in road bends and shoulder surfacing, and education and information can redu...

  8. 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...

  9. 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...

  10. 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.

  11. Voltage Sag Compensator for CAR and SOR of HANARO

    International Nuclear Information System (INIS)

    HANARO is designed so as to be tripped automatically by insertion of control absorber rods(CAR) and shut-off rods(SOR) and the process systems, such as primary cooling system, secondary cooling system and reflector cooling system, etc., stop whenever the off-site power failure occurs, the reactor trips automatically. When voltage sag or momentary interruption occurs, the process systems are in operation but the reactor has an unwanted trip by insertion of CARs and SORs. We installed the voltage sag compensator on the power supply for CARs and SORs so as to prevent a nuisance trip. The compensated time is decided not to exceed 1 sec in consideration of reactor safety. This paper is concerned with the impact of the momentary interruption on the reactor and the effect of the voltage sag compensator

  12. 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...

  13. Full-Automatic Parking registration and payment

    DEFF Research Database (Denmark)

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

    2014-01-01

    As part of ITS Platform North Denmark, a full-automatic GNSS-based parking payment (PP) system was developed (PP app). On the basis of the parking position and parking time, the PP app can determine the price of parking and collect the amount from the car owner’s bank account. The driver is...

  14. 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...

  15. 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.

  16. 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

  17. 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

  18. 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.

  19. 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…

  20. Autonomous Car Path Optimalization

    OpenAIRE

    Vladyka, V.

    2015-01-01

    This paper deals with path search and optimalisation of model car in unknown space. All data from sensors are processed in real-time onboard at ARM Cortex M4 microcontroller. Model’s main sensor is line-scan camera.

  1. 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

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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.

  7. CAR ACCESS USING MULTIMODAL BIOMETRICS

    OpenAIRE

    Catalin LUPU

    2010-01-01

    This paper presents the use of multimodal biometrics in order to identify or to verify a person that wants to start the engine of a car. First of all, a fingerprint sensor is posted on the car’s door, one on the steering wheel, a camera for iris recognition on the car's main mirror, and finally a microphone for voice recognition. There are two possibilities: if the person is identified as the car owner or a known user, then he/she can take control over the car; if it’s an intruder, the car ca...

  8. 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.)

  9. Automatic Speaker Recognition System

    Directory of Open Access Journals (Sweden)

    Parul,R. B. Dubey

    2012-12-01

    Full Text Available Spoken language is used by human to convey many types of information. Primarily, speech convey message via words. Owing to advanced speech technologies, people's interactions with remote machines, such as phone banking, internet browsing, and secured information retrieval by voice, is becoming popular today. Speaker verification and speaker identification are important for authentication and verification in security purpose. Speaker identification methods can be divided into text independent and text-dependent. Speaker recognition is the process of automatically recognizing speaker voice on the basis of individual information included in the input speech waves. It consists of comparing a speech signal from an unknown speaker to a set of stored data of known speakers. This process recognizes who has spoken by matching input signal with pre- stored samples. The work is focussed to improve the performance of the speaker verification under noisy conditions.

  10. 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.

  11. 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。

  12. RFID: A Revolution in Automatic Data Recognition

    Science.gov (United States)

    Deal, Walter F., III

    2004-01-01

    Radio frequency identification, or RFID, is a generic term for technologies that use radio waves to automatically identify people or objects. There are several methods of identification, but the most common is to store a serial number that identifies a person or object, and perhaps other information, on a microchip that is attached to an antenna…

  13. 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.

  14. Dynamic Adaptation of the Traffic Management System CarDemo

    OpenAIRE

    Cordier, A.; Domingues, Rémi; Labaere, Anthony; Noel, Nicolas; Thiery, Adrien; Cerqueus, Thomas; Perry, Philip; Ventresque, Anthony; et al.

    2014-01-01

    This paper demonstrates how we applied a constraint-based dynamic adaptation approach on CarDemo, a traffic management system. The approach allows domain experts to describe the adaptation goals as declarative constraints, and automatically plan the adaptation decisions to satisfy these constraints. We demonstrate how to utilise this approach to realise the dynamic switch of routing services of the traffic management system, according to the change of global system states and user requests.

  15. 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...

  16. 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.

  17. Car stickers for 2010

    CERN Multimedia

    GS Department

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

  18. Product declaration for cars

    International Nuclear Information System (INIS)

    This reports for the Swiss Federal Office of Energy (SFOE) presents the results of a study made on the possible ways of declaring product information on cars. The basic elements of such a declaration are discussed and a recommendation for an energy label for cars is presented. The report discusses the fundamental questions posed such as how long a label should be valid, if comparisons should be made and if it is to be based on CO2-emissions or on fuel consumption. Also, the criteria to be used for comparisons - such as vehicle weight, size or power - are looked at and methods of classification are examined along with data fundamentals. Further, the expectations placed on the product declarations with respect to their energetic and economic impact are discussed. The design of the label and the legislature on which it is based are discussed and initial reactions of the automobile industry are noted. The report is rounded off by a discussion of the effects of the declaration in relation to other instruments that have been proposed

  19. 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.

  20. 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...

  1. 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.

  2. 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.

  3. 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...

  4. 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.

  5. 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...

  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 for...

  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. 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.

  9. Modelling and experimental validation of a car starting system

    Energy Technology Data Exchange (ETDEWEB)

    Amato, F.; Celentano, G.; Iervolino, R. [Univ. degli Studi di Napoli (Italy). Dipt. di Informatica e Sistemistica; Freni, D. [ELASIS-Sistemi di Controllo, Pomigliano d' Arco (Italy)

    2001-07-01

    In this paper a new approach to the dynamic modelling of a car starting system is proposed. The system model is the composition of three interacting parts: the battery, the starter and the internal combustion engine. Each part is modelled by a small number of parameters and by a relatively simple mathematical structure, in order to attain a trade-off between adequate modelling accuracy and parameter identification via simple dynamical experiments proposed by the authors. The obtained model is validated by a real starting experiment conducted on a FIAT car. (orig.)

  10. 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...

  11. 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...

  12. AAP Updates Recommendations on Car Seats

    Science.gov (United States)

    ... Size Email Print Share AAP Updates Recommendations on Car Seats Page Content Article Body Children should ride ... of approved car safety seats. Healthy Children Radio: Car Seat Safety Dennis Durbin, MD, FAAP, lead author ...

  13. The car and crime: critical perspectives.

    OpenAIRE

    Groombridge, Nic

    1997-01-01

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

  14. 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)

  15. 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

  16. Application of Monte Carlo-based statistical significance determinations to the Beta Cephei stars V400 Car, V401 Car, V403 Car and V405 Car

    OpenAIRE

    Engelbrecht, C. A.; Frescura, F. A. M.; Frank, B. S.

    2009-01-01

    We have used Lomb-Scargle periodogram analysis and Monte Carlo significance tests to detect periodicities above the 3-sigma level in the Beta Cephei stars V400 Car, V401 Car, V403 Car and V405 Car. These methods produce six previously unreported periodicities in the expected frequency range of excited pulsations: one in V400 Car, three in V401 Car, one in V403 Car and one in V405 Car. One of these six frequencies is significant above the 4-sigma level. We provide statistical significances for...

  17. 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。

  18. 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.

  19. 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...

  20. Our Car as Power Plant

    OpenAIRE

    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 useful ‘waste’ products in the form of heat and fresh water. The produced electricity, heat and fresh water can be fed into the respective grids or be used directly in our house, office or the school o...

  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. 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.

  3. 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.

  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. Car Safety for Special Children.

    Science.gov (United States)

    Holland, Suzanne Hauser

    1983-01-01

    Various car seats, harnesses, and vests that can be used with handicapped children are described. Suggestions are also made for improvment when existing equipment is not appropriate. A list of resources on the topic is also provided. (CL)

  6. Vibration issues in passenger car

    OpenAIRE

    Rafał BURDZIK; Konieczny, Łukasz

    2014-01-01

    Vibration phenomena occurring in vehicles are very relevant for safety and comfort. Passenger car must be considered as a multi-technical system in which there are non-linear phenomena. Therefore, vibrations occurring in vehicles should be analyzed in many points of car structure and relate them to other criteria analysis. The paper presents examples of the results of vibration and their distribution at selected points during laboratory research and road tests.

  7. Vibration issues in passenger car

    Directory of Open Access Journals (Sweden)

    Rafał BURDZIK

    2014-09-01

    Full Text Available Vibration phenomena occurring in vehicles are very relevant for safety and comfort. Passenger car must be considered as a multi-technical system in which there are non-linear phenomena. Therefore, vibrations occurring in vehicles should be analyzed in many points of car structure and relate them to other criteria analysis. The paper presents examples of the results of vibration and their distribution at selected points during laboratory research and road tests.

  8. 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

  9. 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...

  10. 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....

  11. 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…

  12. 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...

  13. Decree no. 96-1108 from December 17, 1996 giving permission to the Office for the protection against ionizing radiations to use the French national identification index of physical people for the automatic processing of registered personal informations relative to the surveillance of some persons exposed to ionizing radiations

    International Nuclear Information System (INIS)

    This decree from the French ministry of labour and social affairs gives permission to the OPRI (Office for the Protection against Ionizing Radiations) to use the personal registration number of the national identification index of physical people who are or were professionally exposed to ionizing radiations. This number is only used to identify these people in order to automatically process the informations relative to the surveillance of their exposure to ionizing radiations. (J.S.)

  14. 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.

  15. Vision System To Identify Car Body Types For Spray Painting Robot

    Science.gov (United States)

    Uartlam, Peter; Neilson, Geoff

    1984-02-01

    The automation of car body spray booth operations employing paint spraying robots generally requires the robots to execute one of a number of defined routines according to the car body type. A vision system is described which identifies a car body type by its shape and provides an identity code to the robot controller thus enabling the correct routine to be executed. The vision system consists of a low cost linescan camera, a flucrescens light source and a microprocessor image analyser and is an example of a cost effective, reliable, industrially engineered robot vision system for a demanding production environment. Extension of the system with additional cameras will increase the application to the other automatic operations on a car assembly line where it becomes essential to reliably differentiate between up to 40 vatiations of body types.

  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. SINCRO/CAR: An interactive numerical system for computer-aided control engineering and maintenance

    International Nuclear Information System (INIS)

    This presentation describes a dialogue-oriented software implemented on a portable computer for computer-aided engineering and training in control instrumentation and also for on-line verification of the performances of the analog controllers installed on power plants. The SINCRO/CAR software includes algorithms for controller design, simulation, identification, optimization, frequency response and real time data acquisition. Various results obtained on fossil-fired and nuclear plants are given to illustrate the efficiency of the SINCRO/CAR software

  18. 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...

  19. 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 Section 892.1900 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES... processor. (a) Identification. An automatic radiographic film processor is a device intended to be used...

  20. 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 are...

  1. 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.

  2. Automatic Penalty Charging For Violation of Traffic Rules

    Directory of Open Access Journals (Sweden)

    ADITI DAMBE

    2013-02-01

    Full Text Available During the past few years, traffic accidents & congestion has increased enormously. Even in our daily life, we come across many problems caused due to traffic rule violation by some people. Also when we go through the daily newspaper, we realize that road accidents is one of the major problems now a days in every city. These problems cause disturbance to the whole system and also consumes our precious time. So in an attempt to reduce it & improve the traffic discipline, advanced technological solutions has been proposed. In this project, we are designing a system which will automatically incur penalty to the car driver for violation of traffic rules. The penalty will be automatically charged to the car owner if PUC has been expired or if car is standing on zebra crossing when the signal is red, for illegal signal crossing, crossing the speed limit in speed limit zone or parking the car in no parking zone. Also the car will not start if the driver does not have license or if he is drunk. This will help to bring discipline on roads.

  3. Hydraulic control of an automatic transmission

    Energy Technology Data Exchange (ETDEWEB)

    Oberhausen, A.

    1986-04-01

    Since the energy crysis took place it becomes very important to investigate the whole car concept in respect of fuel economy. As one of the steps Ford Transmission Engineering Cologne developed a new automatic 4-speed lock-up overdrive transmission which is called A4LD. The torque converter will be locked in 3rd and 4th gear. The 4th gear is designed as an overdrive gear with a ratio of 0.75:1 which reduces the engine speed by 25%. This report describes the main control items and the controlling of each gear.

  4. 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...

  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. 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.

  7. 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

  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. Recharging Emission-Free Cars

    Institute of Scientific and Technical Information of China (English)

    CORRIE; DOSH

    2008-01-01

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

  10. The Speeding Car Design Challenge

    Science.gov (United States)

    Roman, Harry T.

    2009-01-01

    All too often, one reads about high-speed police chases in pursuit of stolen cars that result in death and injury to people and innocent bystanders. Isn't there another way to accomplish the apprehension of the thieves that does not put people at such great risk? This article presents a classroom challenge to use technology to remotely shutdown…

  11. 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

  12. 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…

  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. 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.

  15. 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.

  16. 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.

  17. 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

  18. Determining the Air Drag on a Car.

    Science.gov (United States)

    Farr, John E.

    1983-01-01

    Students' cars and wristwatches are used as "apparatus" to introduce and demonstrate Newton's second law of motion. Forces acting on cars are discussed and typical student data (for different makes of cars) are provided. Data could also be used in discussions of work, horsepower, efficiency, and energy cost. (JN)

  19. 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....

  20. Car Ownership and Private Car Use A Microeconometric Analysis Based on Norwegian Data

    OpenAIRE

    Dag G. Wetterwald

    1994-01-01

    In this paper we analyze household's car ownership and private car use decisions in a model proposed by de Jong (1990). The model, which incorporates variable and fixed costs of car use, can be used to predict the effects of changes in policy measures on the car stock and aggregate use. The model is estimated on Norwegian household data for 1985.

  1. 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

  2. Automatic Tag Identification in Web Service Descriptions

    OpenAIRE

    Falleri, Jean-Rémy; Azmeh, Zeina; Huchard, Marianne; Tibermacine, Chouki

    2010-01-01

    With the increasing interest toward service-oriented architectures, the number of existing Web services is dramatically growing. Therefore, finding a particular service among this huge number of services is becoming a time-consuming task. User tags or keywords have proven to be a useful technique to smooth browsing experience in large document collections. Some service search engines, like Seekda, already propose this kind of facility. Service tagging, which is a fairly tedious and error pron...

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

    OpenAIRE

    Kentaro Minagawa; Xiaoou Zhou; Shin Mineishi; Antonio Di Stasi

    2015-01-01

    T-cells genetically redirected with a chimeric antigen receptor (CAR) to recognize tumor antigens and kill tumor cells have been infused in several phase 1 clinical trials with success. Due to safety concerns related to on-target/off-tumor effects or cytokine release syndrome, however, strategies to prevent or abate serious adverse events are required. Pharmacologic therapies; suicide genes; or novel strategies to limit the cytotoxic effect only to malignant cells are under active investigati...

  4. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available ... including cancer, chronic obstructive lung disease or emphysema, automobile or accidents of all kind, diabetes -- all combined. ... was leaning across the alternator of a race car, which is generating a whole lot of electricity. ...

  5. 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.

  6. A Robot Based Automatic Paint Inspection System

    Science.gov (United States)

    Atkinson, R. M.; Claridge, J. F.

    1988-06-01

    The final inspection of manufactured goods is a labour intensive activity. The use of human inspectors has a number of potential disadvantages; it can be expensive, the inspection standard applied is subjective and the inspection process can be slow compared with the production process. The use of automatic optical and electronic systems to perform the inspection task is now a growing practice but, in general, such systems have been applied to small components which are accurately presented. Recent advances in vision systems and robot control technology have made possible the installation of an automated paint inspection system at the Austin Rover Group's plant at Cowley, Oxford. The automatic inspection of painted car bodies is a particularly difficult problem, but one which has major benefits. The pass line of the car bodies is ill-determined, the surface to be inspected is of varying surface geometry and only a short time is available to inspect a large surface area. The benefits, however, are due to the consistent standard of inspection which should lead to lower levels of customer complaints and improved process feedback. The Austin Rover Group initiated the development of a system to fulfil this requirement. Three companies collaborated on the project; Austin Rover itself undertook the production line modifications required for body presentation, Sira Ltd developed the inspection cameras and signal processing system and Unimation (Europe) Ltd designed, supplied and programmed the robot system. Sira's development was supported by a grant from the Department of Trade and Industry.

  7. Coxsackie and adenovirus receptor (CAR) is a modifier of cardiac conduction and arrhythmia vulnerability in the setting of myocardial ischemia

    Science.gov (United States)

    Marsman, Roos F.J.; Bezzina, Connie R.; Freiberg, Fabian; Verkerk, Arie O.; Adriaens, Michiel E.; Podliesna, Svitlana; Chen, Chen; Purfürst, Bettina; Spallek, Bastian; Koopmann, Tamara T.; Baczko, Istvan; dos Remedios, Cristobal G.; George, Alfred L.; Bishopric, Nanette H.; Lodder, Elisabeth M.; de Bakker, Jacques M.T.; Fischer, Robert; Coronel, Ruben; Wilde, Arthur A.M.; Gotthardt, Michael; Remme, Carol Ann

    2014-01-01

    Objectives To investigate the modulatory effect of the Coxsackie and adenovirus receptor (CAR) on ventricular conduction and arrhythmia vulnerability in the setting of myocardial ischemia. Background A heritable component in risk for ventricular fibrillation (VF) during myocardial infarction (MI) has been well established. A recent genome-wide association study (GWAS) for VF during acute MI has led to the identification of a locus on chromosome 21q21 (rs2824292) in the vicinity of the CXADR gene. CXADR encodes the coxsackie and adenovirus receptor (CAR), a cell adhesion molecule predominantly located at intercalated discs of the cardiomyocyte. Methods The correlation between CAR transcript levels and rs2824292 genotype was investigated in human left ventricular samples. Electrophysiological studies and molecular analyses were performed CAR haploinsufficient mice (CAR+/−). Results In human left ventricular samples, the risk allele at the chr21q21 GWAS locus was associated with lower CXADR mRNA levels, suggesting that decreased cardiac levels of CAR predispose to ischemia-induced VF. Hearts from CAR+/− mice displayed ventricular conduction slowing in addition to an earlier onset of ventricular arrhythmias during the early phase of acute myocardial ischemia following LAD ligation. Connexin43 expression and distribution was unaffected, but CAR+/− hearts displayed increased arrhythmia susceptibility upon pharmacological electrical uncoupling. Patch-clamp analysis of isolated CAR+/− myocytes showed reduced sodium current magnitude specifically at the intercalated disc. Moreover, CAR co-precipitated with NaV1.5 in vitro, suggesting that CAR affects sodium channel function through a physical interaction with NaV1.5. Conclusion We identify CAR as a novel modifier of ventricular conduction and arrhythmia vulnerability in the setting of myocardial ischemia. Genetic determinants of arrhythmia susceptibility (such as CAR) may constitute future targets for risk

  8. ARM7 Based Smart Car Security System.

    OpenAIRE

    J.R. Shaikh, S. M. Kate

    2012-01-01

    The main aim of this project is to offer an advance security system in CAR, which consists of a face detection subsystem, a GPS module, a GSM module and a control platform. The face detection subsystem can detect faces in cars during the period in which nobody should be in the car, and make an alarm loudly or soundlessly. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost.In todays world, many new techniques such as ...

  9. 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.

  10. 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.

  11. 49 CFR 215.121 - Defective car body.

    Science.gov (United States)

    2010-10-01

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

  12. 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...

  13. 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.

  14. Servicing a Connected Car Service

    OpenAIRE

    Svensson, Benjamin; Varnai, Kristian

    2015-01-01

    Increased wireless connectivity to vehicles invites both existing and new digital methods of attack, requiring the high prioritisation of security throughout the development of not just the vehicle, but also the services provided for it. This report examines such a connected car service used by thousands of customers every day and evaluates it from a security standpoint. The methods used for this evaluation include both direct testing of vulnerabilities, as well as the examination of design c...

  15. A Survey on Automatic Vehicle Parking and Retrieval Using Android Smartphone

    Directory of Open Access Journals (Sweden)

    Arockia Muthu.A*

    2014-11-01

    Full Text Available This paper focuses the construction of the system which assists in parking and retrieving of the car automatically. Unlike previous generation this system drives automatically while parking which is controlled with the help of smart phone. Remote door control is another feature that helps the user to open the car door with aid of smart phone. The system is equipped with an alarm system in case of disturbance situation. The proposed system uses a 3-axis accelerometer which replaces the motion sensor in the existing system and provides a secure means of parking system. This system is going to be implemented using ARM cortex-M3 microcontroller.

  16. 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 to...

  17. 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 ...

  18. 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.

  19. The Diagnostic System of A – 604 Automatic Transmission

    OpenAIRE

    Czaban Jaroslaw; Szpica Dariusz

    2014-01-01

    Automatic gearbox gains increasing popularity in Europe. Little interest in diagnosis of such type of transmission in Poland results from the fact of small share in the whole market of operated cars, so there is a lack of availability of special diagnostic devices. These factors cause issues of expensive repairs, often involving a replacement of subassembly to new or aftermarket one. To a small extent some prophylactic diagnostic tests are conducted, which can eliminate future gearbox system ...

  20. 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.

  1. Automatic exploitation system for photographic dosemeters

    International Nuclear Information System (INIS)

    The Laboratory of Dosimetry Exploitation (LED) has realized an equipment allowing to exploit automatically photographic film dosemeters. This system uses an identification of the films by code-bars and gives the doses measurement with a completely automatic reader. The principle consists in putting in ribbon the emulsions to be exploited and to develop them in a circulation machine. The measurement of the blackening film is realized on a reading plate having fourteen points of reading, in which are circulating the emulsions in ribbon. The exploitation is made with the usual dose calculation method, with special computers codes. A comparison on 2000 dosemeters has shown that the results are the same in manual and automatical methods. This system has been operating since July 1995 by the LED. (N.C.)

  2. Automatic Keywords Extraction for Punjabi Language

    Directory of Open Access Journals (Sweden)

    Vishal Gupta

    2011-09-01

    Full Text Available Automatic keywords extraction is the task to identify a small set of words, key phrases, keywords, or key segments from a document that can describe the meaning of the document. Keywords are useful tools as they give the shortest summary of the document. This paper concentrates on Automatic keywords extraction for Punjabi language text. It includes various phases like removing stop words, Identification of Punjabi nouns and noun stemming, Calculation of Term Frequency and Inverse Sentence Frequency (TF-ISF, Punjabi keywords as nouns with high TF-ISF score and title/headline feature for Punjabi text. The extracted keywords are very much helpful in automatic indexing, text summarization, information retrieval, classification, clustering, topic detection and tracking and web searches etc.

  3. 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。

  4. 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。

  5. 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。

  6. 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...

  7. 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...

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

    OpenAIRE

    Vahid Ghods; Alireza Behrad

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Vahid Ghods

    2011-07-01

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

  10. 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...

  11. Driving CAR T-cells forward.

    Science.gov (United States)

    Jackson, Hollie J; Rafiq, Sarwish; Brentjens, Renier J

    2016-06-01

    The engineered expression of chimeric antigen receptors (CARs) on the surface of T cells enables the redirection of T-cell specificity. Early clinical trials using CAR T cells for the treatment of patients with cancer showed modest results, but the impressive outcomes of several trials of CD19-targeted CAR T cells in the treatment of patients with B-cell malignancies have generated an increased enthusiasm for this approach. Important lessons have been derived from clinical trials of CD19-specific CAR T cells, and ongoing clinical trials are testing CAR designs directed at novel targets involved in haematological and solid malignancies. In this Review, we discuss these trials and present strategies that can increase the antitumour efficacy and safety of CAR T-cell therapy. Given the fast-moving nature of this field, we only discuss studies with direct translational application currently or soon-to-be tested in the clinical setting. PMID:27000958

  12. Diesel cars in the United States

    Energy Technology Data Exchange (ETDEWEB)

    1978-06-01

    The purpose of this study was to develop a better understanding of the causes of the recent increased interest in diesel cars, thereby providing insight into the related behavior of institutions and individuals. This knowledge may improve the formulation of federal policies for diesel, electric, and other more energy-efficient car systems. The study describes developments in the diesel car field over the past few years, and discusses the present status of diesel cars. Historical data were assembled on diesel car sales and on parameters that might have affected the sales. Information is included on the following items related to diesel cars: buyers preferences and why; fuel economy and availability; energy conservation potential; and exhaust emissions, their control and air pollution effects. (LCL)

  13. 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.

  14. 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.

  15. 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.

  16. Modeling human learning involved in car driving

    OpenAIRE

    Wewerinke, P.H.

    1994-01-01

    In this paper, car driving is considered at the level of human tracking and maneuvering in the context of other traffic. A model analysis revealed the most salient features determining driving performance and safety. Learning car driving is modelled based on a system theoretical approach and based on a neural network approach. The aim of this research is to assess the relative merit of both approaches to describe human learning behavior in car driving specifically and in operating dynamic sys...

  17. Development of a safe car seat

    OpenAIRE

    Malnarič, Vili; Zupanc, Mirko; Drenovec, Mitja

    2015-01-01

    Here we present a list and order of actions to be taken for the successful development and industrialization of a safe car seat. During the seat's development, its safety role in the car has to be considered. With respect to this, the procedures defining the safety characteristics of the products have to be taken into account. The development stages for a safe car seat are merged within three phases, as follows: the preparation of the starting pointsfor the development of a safe car seat, the...

  18. 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.

  19. 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.

  20. 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.

  1. Car-to-car safety broadcast with interference using Raptor codes

    OpenAIRE

    Abdullah, NF; Doufexi, A; Piechocki, RJ

    2011-01-01

    Car-to-car safety applications that demand real-time and reliable communications in vehicular ad hoc networks (VANETs) requires a new paradigm of coding techniques. In this paper, we propose a novel coding approach using a systematic Raptor code for car-to- car post-crash warning broadcast applications. A cross-layer simulator model is developed to evaluate the performance of Raptor codes against repetition codes using also multiple antennas spatial diversity techniques. The end-to-end delay ...

  2. 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.

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

    Science.gov (United States)

    Yu, Shao-Wei; Shi, Zhong-Ke

    2015-01-01

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

  4. 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...

  5. 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.

  6. 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...

  7. 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.

  8. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available Automatic Implantable Cardiac Defibrillator February 19, 2009 Halifax Health Medical Center, Daytona Beach, FL Welcome to Halifax Health Daytona Beach, Florida. Over the next hour you' ...

  9. 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)

  10. Automatic Arabic Text Classification

    OpenAIRE

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

    2008-01-01

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

  11. 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.

  12. 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

  13. Car Stopping Distance on a Tabletop

    Science.gov (United States)

    Haugland, Ole Anton

    2013-01-01

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

  14. 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

  15. Rear-facing car seat (image)

    Science.gov (United States)

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

  16. A Radio-Controlled Car Challenge

    Science.gov (United States)

    Roman, Harry T.

    2010-01-01

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

  17. 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

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. 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.

  3. 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 ...

  4. Evaluation of damaged tank car structural integrity

    International Nuclear Information System (INIS)

    To assess the safety of moving a damaged tank car, it is necessary to know the sizes and shapes of cracks, the stresses associated with moving the tank car, and the fracture toughness of the material used to fabricate the tank car. This report provides the results and recommendations for the research related to the examination of nondestructive evaluation techniques and measurements of the mechanical properties of deformed steel plate; Evaluation of computer codes to identify those capable of performing a large displacement inelastic analysis; Two 1/5-scale-model tank cars, representing damaged tank cars that were hydroburst to failure; and Preliminary tests conducted using more interferometry for determining residual stresses of rail components. 24 refs., 37 figs., 4 tabs

  5. 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.

  6. 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.

  7. 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。

  8. Automatic Program Development

    DEFF Research Database (Denmark)

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

  9. Will Brazil's cars go on the wagon?

    International Nuclear Information System (INIS)

    The use of ethanol as an alternative fuel for cars in Brazil, may shortly be reduced. Falling world oil prices have meant that ethanol, derived from sugar cane, following a fourteen year research program, has ceased to be a financially viable replacement for petrol. Although about a third of Brazil's cars are at present powered by ethanol, only substantial government subsidies could reinstate this fuel despite its reduced pollutant status. Government officials now predict that ethanol will become merely a petrol additive and production of ethanol cars will have stopped by the year 2000. (UK)

  10. 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.

  11. 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...

  12. 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.

  13. 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

  14. 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.

  15. 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...

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 100-Car Naturalistic Driving Study Fact Sheet

    OpenAIRE

    Box, Sherri

    2005-01-01

    The 100-Car Naturalistic Driving Study was recently completed by the Virginia Tech Transportation Institute (VTTI) and sponsored by the National Highway Traffic Safety Administration (NHTSA), Virginia Tech, Virginia Department of Transportation (VDOT), and Virginia Transportation Research Council (VTRC).

  1. 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.

  2. 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...

  3. 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.

  4. CAR-T Cell Therapy for Lymphoma.

    Science.gov (United States)

    Ramos, Carlos A; Heslop, Helen E; Brenner, Malcolm K

    2016-01-01

    Lymphomas arise from clonal expansions of B, T, or NK cells at different stages of differentiation. Because they occur in the immunocyte-rich lymphoid tissues, they are easily accessible to antibodies and cell-based immunotherapy. Expressing chimeric antigen receptors (CARs) on T cells is a means of combining the antigen-binding site of a monoclonal antibody with the activating machinery of a T cell, enabling antigen recognition independent of major histocompatibility complex restriction, while retaining the desirable antitumor properties of a T cell. Here, we discuss the basic design of CARs and their potential advantages and disadvantages over other immune therapies for lymphomas. We review current clinical trials in the field and consider strategies to improve the in vivo function and safety of immune cells expressing CARs. The ultimate driver of CAR development and implementation for lymphoma will be the demonstration of their ability to safely and cost-effectively cure these malignancies. PMID:26332003

  5. 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 ...

  6. 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 ...

  7. Automatic Dance Lesson Generation

    Science.gov (United States)

    Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun

    2012-01-01

    In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…

  8. 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...

  9. 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.

  10. 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

  11. 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

  12. 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.

  13. Autonomous Guided Car Using a Fuzzy Controller

    OpenAIRE

    Olivares Mendez, Miguel Angel; Campoy, Pascual; Mellado-Bataller, Ignacio; Mondragon, Ivan; Martinez, Carol; Sanchez-Lopez, Joseluis

    2013-01-01

    The goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just the visual information of a line painted below the car. In order to implement the control of the vehicle, a Fuzzy Logic controller has been implemented, that has to be robust against curvature changes and velocity changes. The only input information for the controller is th...

  14. Implementation of Endomorphisms of the CAR Algebra

    OpenAIRE

    Binnenhei, Carsten

    1997-01-01

    The implementation of non-surjective Bogoliubov transformations in Fock states over CAR algebras is investigated. Such a transformation is implementable by a Hilbert space of isometries if and only if the well-known Shale-Stinespring condition is met. In this case, the dimension of the implementing Hilbert space equals the square root of the Watatani index of the associated inclusion of CAR algebras, and both are determined by the Fredholm index of the corresponding one-particle operator. Exp...

  15. 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)

  16. 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

  17. [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

  18. Blue Car, Red Car: Developing Efficiency in Online Interpretation of Adjective-Noun Phrases

    OpenAIRE

    Fernald, Anne; Thorpe, Kirsten; Marchman, Virginia A.

    2010-01-01

    Two experiments investigated the development of fluency in interpreting adjective-noun phrases in 30- and 36-month-old English-learning children. Using online processing measures, children’s gaze patterns were monitored as they heard the familiar adjective/noun phrases (e.g. blue car) in visual contexts where the adjective was either informative (e.g. blue car paired with red car or red house) or uninformative (e.g. blue car paired with blue house). Thirty-six-month-olds processed adjective-n...

  19. A model of car ownership and use incorporating quality choice and ownership of multiple cars

    OpenAIRE

    Rouwendal, Jan; Pommer, John

    2003-01-01

    In this paper we develop and estimate a discrete-continuous model for car ownership and use that incorporates quality choice and the decision to own multiple cars. The basic model, used for instance in De Jong (1991), treats all cars as being equal (no differences in quality) and only considers ownership of a single car. In order to introduce quality into the model we assume that the marginal utility of driving is increased by a latent variable (interpreted as quality) that is related to the ...

  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. 36 CFR 1192.109 - Between-car barriers.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Between-car barriers. 1192... Commuter Rail Cars and Systems § 1192.109 Between-car barriers. Where vehicles operate in a high-platform, level-boarding mode, and where between-car bellows are not provided, devices or systems shall...

  2. 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

  3. 49 CFR 231.21 - Tank cars without underframes.

    Science.gov (United States)

    2010-10-01

    ... inches. (3) Location. One safety railing at each end of car shall extend horizontally across car not less... car at center. (ii) The safety railing shall enclose the operating platform, manway and fittings used... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION RAILROAD SAFETY APPLIANCE STANDARDS § 231.21 Tank cars...

  4. 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.

  5. 49 CFR 215.119 - Defective freight car truck.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Defective freight car truck. 215.119 Section 215... 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...

  6. 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....

  7. 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....

  8. 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)...

  9. 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....

  10. 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...

  11. 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...

  12. Uranium casting furnace automatic temperature control development

    International Nuclear Information System (INIS)

    Development of an automatic molten uranium temperature control system for use on batch-type induction casting furnaces is described. Implementation of a two-color optical pyrometer, development of an optical scanner for the pyrometer, determination of furnace thermal dynamics, and design of control systems are addressed. The optical scanning system is shown to greatly improve pyrometer measurement repeatability, particularly where heavy floating slag accumulations cause surface temperature gradients. Thermal dynamics of the furnaces were determined by applying least-squares system identification techniques to actual production data. A unity feedback control system utilizing a proportional-integral-derivative compensator is designed by using frequency-domain techniques. 14 refs

  13. Automatic cytometric device using multiple wavelength excitations

    Science.gov (United States)

    Rongeat, Nelly; Ledroit, Sylvain; Chauvet, Laurence; Cremien, Didier; Urankar, Alexandra; Couderc, Vincent; Nérin, Philippe

    2011-05-01

    Precise identification of eosinophils, basophils, and specific subpopulations of blood cells (B lymphocytes) in an unconventional automatic hematology analyzer is demonstrated. Our specific apparatus mixes two excitation radiations by means of an acousto-optics tunable filter to properly control fluorescence emission of phycoerythrin cyanin 5 (PC5) conjugated to antibodies (anti-CD20 or anti-CRTH2) and Thiazole Orange. This way our analyzer combining techniques of hematology analysis and flow cytometry based on multiple fluorescence detection, drastically improves the signal to noise ratio and decreases the spectral overlaps impact coming from multiple fluorescence emissions.

  14. 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...

  15. 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)

  16. 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.

  17. Development of a motion analysis system specialized for car-crash tests

    Science.gov (United States)

    Kwon, Young-Hoo; Lee, Jea-Sun

    1995-05-01

    A prototype of a PC-based motion analysis system specialized for the car-crash test with 2D and 3D analysis capabilities was developed. The core of the proposed motion analysis system is the film-to-video conversion and the semiautomatic marker tracking. Construction of the converter using a 16 mm film projector and a CCD camera is currently undergoing. The semiautomatic marker tracking system was tested in an outdoor pilot experiment a with a small-sized passenger car. A film-to- video converter, a PC with a frame grabber, an RGB video monitor and the tracking software are the components of the tracking system. A location- prediction & marker-detection algorithm was embedded in the tracking software of automatic marker detection. Other data analysis features were also discussed.

  18. 49 CFR 180.519 - Periodic retest and inspection of tank cars other than single-unit tank car tanks.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Periodic retest and inspection of tank cars other than single-unit tank car tanks. 180.519 Section 180.519 Transportation Other Regulations Relating to... of Tank Cars § 180.519 Periodic retest and inspection of tank cars other than single-unit tank...

  19. 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 §...

  20. Automatic indexing, compiling and classification

    International Nuclear Information System (INIS)

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

  1. 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...

  2. Pollutants Characterization of Car Wash Wastewater

    Directory of Open Access Journals (Sweden)

    Hashim Nor Haslina

    2016-01-01

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

  3. The automatic NMR gaussmeter

    International Nuclear Information System (INIS)

    The paper describes the automatic gaussmeter operating according to the principle of nuclear magnetic resonance. There have been discussed the operating principle, the block diagram and operating parameters of the meter. It can be applied to measurements of induction in electromagnets of wide-line radio-spectrometers EPR and NMR and in calibration stands of magnetic induction values. Frequency range of an autodyne oscillator from 0,6 up to 86 MHz for protons is corresponding to the field range from 0.016 up to 2T. Applicaton of other nuclei, such as 7Li and 2D is also foreseen. The induction measurement is carried over automatically, and the NMR signal and value of measured induction are displayed on a monitor screen. (author)

  4. 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.

  5. Automatic Wall Painting Robot

    OpenAIRE

    P.KEERTHANAA, K.JEEVITHA, V.NAVINA, G.INDIRA, S.JAYAMANI

    2013-01-01

    The Primary Aim Of The Project Is To Design, Develop And Implement Automatic Wall Painting Robot Which Helps To Achieve Low Cost Painting Equipment. Despite The Advances In Robotics And Its Wide Spreading Applications, Interior Wall Painting Has Shared Little In Research Activities. The Painting Chemicals Can Cause Hazards To The Human Painters Such As Eye And Respiratory System Problems. Also The Nature Of Painting Procedure That Requires Repeated Work And Hand Rising Makes It Boring, Time A...

  6. 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...

  7. Automatic Inductive Programming Tutorial

    OpenAIRE

    Aler, Ricardo

    2006-01-01

    Computers that can program themselves is an old dream of Artificial Intelligence, but only nowadays there is some progress of remark. In relation to Machine Learning, a computer program is the most powerful structure that can be learned, pushing the final goal well beyond neural networks or decision trees. There are currently many separate areas, working independently, related to automatic programming, both deductive and inductive. The first goal of this tutorial is to give to the attendants ...

  8. 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....

  9. 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...

  10. Automaticity or active control

    DEFF Research Database (Denmark)

    Tudoran, Ana Alina; Olsen, Svein Ottar

    This study addresses the quasi-moderating role of habit strength in explaining action loyalty. A model of loyalty behaviour is proposed that extends the traditional satisfaction–intention–action loyalty network. Habit strength is conceptualised as a cognitive construct to refer to the psychologic......, respectively, between intended loyalty and action loyalty. At high levels of habit strength, consumers are more likely to free up cognitive resources and incline the balance from controlled to routine and automatic-like responses....

  11. Automatic digital image registration

    Science.gov (United States)

    Goshtasby, A.; Jain, A. K.; Enslin, W. R.

    1982-01-01

    This paper introduces a general procedure for automatic registration of two images which may have translational, rotational, and scaling differences. This procedure involves (1) segmentation of the images, (2) isolation of dominant objects from the images, (3) determination of corresponding objects in the two images, and (4) estimation of transformation parameters using the center of gravities of objects as control points. An example is given which uses this technique to register two images which have translational, rotational, and scaling differences.

  12. 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.)

  13. 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

  14. 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.

  15. 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.

  16. 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...

  17. 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

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

    OpenAIRE

    Boccara, N.; Fuks, H.; Zeng, Q.

    1997-01-01

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

  19. Car Safety System Using Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    M. Al-Hadidi

    2008-01-01

    Full Text Available Nowadays everybody can recognize the huge increasing of car numbers on roads. Day after day, this increasing may be an indicator for changing and development. This put a lot of challenges on people and governments. One of these challenges is car accidents and there bad effects. The main aim of our proposal is to help our society to decrease car accidents by designing a system which makes the drivers pay more attention and worn them before an accident takes place. The designed system consists basically of three general circuits, which complete each others. The first circuit consists of microcontroller, power source, speaker and switches needed. The second circuit, the ultrasonic transmitter and receiver circuit which measures the distance between the car and any thing in front of it. Finally, the third circuit, the opto-coupler circuit, its function to determine the current speed of the car. The characteristics of this system include flexibility and effectiveness of implementation. It’s cheap and it has low power consumption with a small size. The system records all the changes surrounded the driver environment, then process them using a fuzzy microcontroller which worn the driver of expected dangers through an output devices which lead the driver to take all necessary measures to avoid the accident.

  20. 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 ...

  1. 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.

  2. 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.

  3. 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)

  4. ENERGY EFFICIENT AUTOMATED CAR PARKING SYSTEM

    Directory of Open Access Journals (Sweden)

    V. Sumathi

    2013-06-01

    Full Text Available Due to a rapid increase in the number of vehicles, the need for parking spaces is on rise. It is important to park the cars in close proximity to avoid traffic congestion and use a parking areaefficiently. Current car parking management systems utilize human personnel to find available parking areas or use a video based system that collects the information in the form of images and tracks available parking slots. This paper describes an alternative energy efficient system which allots a unique parking ‘slot’ for every incoming car. The parking area has a number of ‘slots’ to park which are prioritized in such a way that the available slot nearest to the entry is allotted to every incoming car. The driver has to park in that particular slot allotted without searching for a vacant space thus reducing the time for parking and making an efficient use of available space. The System additionally makes efficient use ofenergy by switching the lights in the parking area ON only when a car is in motion. The application is developed on LPC1343 ARM processor and tested on a miniature prototype. The results suggest that it isa robust system and can be implemented in real time with an option to increase the number of parking slots as required.

  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. 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.

  7. 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.

  8. Implementation Of Automatic Wiper Speed Control And Headlight Modes Control Systems Using Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    ThetKoKo

    2015-07-01

    Full Text Available Abstract This research paper describes the design and simulation of the automatic wiper speed and headlight modes controllers using fuzzy logic. This proposed system consists of a fuzzy logic controller to control a cars wiper speed and headlight modes. The automatic wiper system detects the rain and its intensity. And according to the rain intensity the wiper speed is automatically controlled. Headlight modes automatically changes either from low beam mode to high beam mode or form high beam mode to low beam mode depending on the light intensity from the other vehicle coming from the opposite direction. The system comprises of PIC impedance sensor piezoelectric vibration sensor LDR headlamps and a DC motor to accurate the windshield wiper. Piezoelectric sensor is used to detect the rain intensity which is based on the piezoelectric effect. MATLAB software is used to achieve the designed goal.

  9. 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 ...

  10. 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...

  11. Cars, corporations, and commodities: Consequences for the social determinants of health

    Science.gov (United States)

    Woodcock, James; Aldred, Rachel

    2008-01-01

    Social epidemiologists have drawn attention to health inequalities as avoidable and inequitable, encouraging thinking beyond proximal risk factors to the causes of the causes. However, key debates remain unresolved including the contribution of material and psychosocial pathways to health inequalities. Tools to operationalise social factors have not developed in tandem with conceptual frameworks, and research has often remained focused on the disadvantaged rather than on forces shaping population health across the distribution. Using the example of transport, we argue that closer attention to social processes (capital accumulation and motorisation) and social forms (commodity, corporation, and car) offers a way forward. Corporations tied to the car, primarily oil and vehicle manufacturers, are central to the world economy. Key drivers in establishing this hegemony are the threat of violence from motor vehicles and the creation of distance through the restructuring of place. Transport matters for epidemiology because the growth of mass car ownership is environmentally unsustainable and affects population health through a myriad of pathways. Starting from social forms and processes, rather than their embodiment as individual health outcomes and inequalities, makes visible connections between road traffic injuries, obesity, climate change, underdevelopment of oil producing countries, and the huge opportunity cost of the car economy. Methodological implications include a movement-based understanding of how place affects health and a process-orientated integration of material and psychosocial explanations that, while materially based, contests assumptions of automatic benefits from economic growth. Finally, we identify car and oil corporations as anti-health forces and suggest collaboration with them creates conflicts of interest. PMID:18291031

  12. 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

  13. 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.

  14. 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...

  15. The 2009 Simulated Car Racing Championship

    DEFF Research Database (Denmark)

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

    2011-01-01

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

  16. 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...

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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...

  2. Automatic radioactive waste recycling

    International Nuclear Information System (INIS)

    The production of a plutonium ingot by calcium reduction process at CEA/Valduc generates a residue called 'slag'. This article introduces the recycling unit which is dedicated to the treatment of slags. The aim is to separate and to recycle the plutonium trapped in this bulk on the one hand, and to generate a disposable waste from the slag on the other hand. After a general introduction of the facilities, some elements will be enlightened, particularly the dissolution step, the filtration and the drying equipment. Reflections upon technological constraints will be proposed, and the benefits of a fully automatic recycling unit of nuclear waste will also be stressed. (authors)

  3. 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.

  4. Where sustainable transport and social exclusion meet: households without cars and car dependence in Great Britain

    OpenAIRE

    Mattioli, G.

    2014-01-01

    A secondary analysis of the British National Travel Survey for the years 2002–2010 shows that the composition of the group of carless households is a good indicator of the level of car dependence in a local area: indeed, while non-car ownership in peripheral and rural areas very often correspond to a marginal socio-demographic situation, this is less and less true as one moves towards larger urban areas. Similarly, while in sparse areas most households without cars are either virtually immobi...

  5. 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.

  6. Automatic readout micrometer

    International Nuclear Information System (INIS)

    A measuring system is disclosed for surveying and very accurately positioning objects with respect to a reference line. A principal use of this surveying system is for accurately aligning the electromagnets which direct a particle beam emitted from a particle accelerator. Prior art surveying systems require highly skilled surveyors. Prior art systems include, for example, optical surveying systems which are susceptible to operator reading errors, and celestial navigation-type surveying systems, with their inherent complexities. The present invention provides an automatic readout micrometer which can very accurately measure distances. The invention has a simplicity of operation which practically eliminates the possibilities of operator optical reading error, owning to the elimination of traditional optical alignments for making measurements. The invention has an extendable arm which carries a laser surveying target. The extendable arm can be continuously positioned over its entire length of travel by either a coarse or fine adjustment without having the fine adjustment outrun the coarse adjustment until a reference laser beam is centered on the target as indicated by a digital readout. The length of the micrometer can then be accurately and automatically read by a computer and compared with a standardized set of alignment measurements. Due to its construction, the micrometer eliminates any errors due to temperature changes when the system is operated within a standard operating temperature range

  7. 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

  8. Costimulation Engages the Gear in Driving CARs.

    Science.gov (United States)

    Abken, Hinrich

    2016-02-16

    In this issue of Immunity,Kawalekar et al. (2016) find that costimulation by a chimeric antigen receptor (CAR) can control T cell metabolism and balance the response toward long-lived memory or short-lived effector cells. The results provide a rationale of how to tune cancer immunotherapy more effectively in a hostile tumor environment. PMID:26885852

  9. 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…

  10. 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.

  11. 49 CFR 212.217 - Car inspector.

    Science.gov (United States)

    2010-10-01

    ... (ii) The Freight Car Safety Standards (49 CFR part 215), Safety Glazing Standards (49 CFR part 223), Safety Appliance Standards (49 CFR part 231) and Power Brake Standards (49 CFR part 232); (3) The... Safety Standards (49 CFR part 215), Safety Glazing Standards (49 CFR part 223), Safety...

  12. 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.

  13. 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.

  14. Electric cars and the quality of life

    Energy Technology Data Exchange (ETDEWEB)

    Vernet, Daniel [Renault R and D Communication, Boulogne (France)

    1994-04-01

    The author reviews the problems and advantages of electric road vehicles and puts them in perspective. Future developments will inevitably solve some of the problems known today, but how can drivers relate to silent, clean cars after generations of conditioning to the vroom factor. (author)

  15. Toward (car)borane-based molecular magnets

    Czech Academy of Sciences Publication Activity Database

    Oliva, J. M.; Alcoba, D. R.; Ona, O. B.; Torre, A.; Lain, L.; Michl, Josef

    2015-01-01

    Roč. 134, č. 2 (2015), 9/1-9/8. ISSN 1432-881X Institutional support: RVO:61388963 Keywords : car boranes * spin population * Heisenberg spin Hamiltonian * Heisenberg coupling constatns Subject RIV: CF - Physical ; Theoretical Chemistry Impact factor: 2.233, year: 2014

  16. 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

  17. 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

  18. 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…

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

    OpenAIRE

    Mafrica, Stefano; Servel, Alain; Ruffier, Franck

    2015-01-01

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

  20. 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 ...

  1. 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 ...

  2. Can a road-driven car outrace a free-falling car?

    Science.gov (United States)

    Castaño, Diego J.

    2011-11-01

    Motivated by an advertising scenario in which a luxury sports sedan races against a similar car falling under the influence of gravity, a calculation using undergraduate physics and calculus is performed to theoretically predict the outcome.

  3. 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.

  4. 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...

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

    OpenAIRE

    Gandzha S.A.; Kiessh I.E.

    2015-01-01

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

  6. Car crash and injury among young drivers: contribution of social, circumstantial and car attributes.

    Science.gov (United States)

    Laflamme, L; Vaez, M

    2007-03-01

    The objective of the study was to assess the independent contribution of individual, car and circumstantial features in severe and fatal car crashes involving young drivers. A prospective longitudinal, register-based cohort study was conducted at national level (in Sweden), in which people born in the years 1970-1972 (n = 334070) were followed up for the period 1988-2000 (aged 16-18 years in 1988) for their first two-car crashes leading to severe or fatal injury. Ten variables descriptive of the driver (sociodemographics), the car (safety level) and the crash have been analysed using multiple logistic regressions for male and female drivers separately, compiling crude and adjusted odds ratios with 95% CI. When controlling for other features, none of the variables descriptive of male and female drivers' socio-demographic characteristics impacts significantly on the odds of being severely injured or dying in a car-to-car crash. After adjustment, significant excess risks are observed for speed limits higher than the lowest one, type of crash other than rear end collision and road and light conditions other than favourable (dry and daylight), for both male and female drivers. For males only, cars from all car safety levels have significantly higher odds than those from the safest category. Among male and female young drivers, class differences in the risk of being severely injured in a traffic injury are substantial. Yet, despite this imbalance, crash characteristics (for males and females) and safety level of the vehicle driven (for males) remain the most determinant factors of crash severity. Understanding the social patterning of road traffic injuries is a challenge for public health and it seems that qualitative and quantitative differences in crash exposure offer part of the explanation. Young drivers from all social groups need, however, to be sensitized to the risk factors. PMID:17624005

  7. 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...

  8. Automatic combustion control in coke oven plants; Controle automatico de combustao em baterias de coque

    Energy Technology Data Exchange (ETDEWEB)

    Torres, Afonso E.; Bissoli, Aluizio R.; Clemente, Jose M.; Oliveira, Jorge M. de; Alves, Marcelo T.; Silva, Mauro R. da [Companhia Siderurgica de Tubarao (CST), Serra, ES (Brazil)

    1996-12-31

    The Automatic Combustion Control of the three Coke Ovens Plants of CST had its first stage started in january 1996, when the Visual Inspection of the Coking End Point was replaced by the Automatic Detection with a Process Computer and thermocouples in the ascension pipes of the 147 ovens. Monitoring is performed in the operations of charging, leveling, discharging, guiding and moving of the 12 movable machines (charging car, discharging car, guide car and locomotive), and safe integrated functioning among these machines is done, using one Plc in each one. The data from each oven are transmitted to the Process Computer by radio waves. Based on temperatures reached by thermocouples installed in the combustion chambers of 10 walls in each coke oven plant, and the automatic detection of weight and moisture of the coal, the Process Computer performs the calculation of the Set Point of the temperature for each coke oven plant. The mathematical model in the Process Computer is responsible for this result and the value is sent to the Plc, in the operation room, in order to control the rate of combustible gas, The cooking time is controlled by this method and the results of coke production are in the target range. (author) 9 figs., 3 tabs.

  9. Roadblocks to success for RNA CARs in solid tumors

    OpenAIRE

    Singh, Nathan; Barrett, David M.; Grupp, Stephan A.

    2015-01-01

    While CAR therapy has begun to demonstrate efficacy, cell-engineering techniques that result in permanent genomic modification carry several safety concerns. CAR expression driven by RNA creates a platform for delivery of highly-active cell therapy while avoiding long-term CAR-driven toxicity. Using models of pediatric neuroblastoma, we have found that RNA CAR T cell activity is limited by ineffective tumor infiltration.

  10. Competitive Robotic Car: Sensing, Planning and Architecture Design

    OpenAIRE

    Rizano, Tizar

    2013-01-01

    Research towards a complete autonomous car has been pushed through by industries as it offers numerous advantages such as the improvement to traffic flow, vehicle and pedestrian safety, and car efficiency. One of the main challenges faced in this area is how to deal with different uncertainties perceived by the sensors on the current state of the car and the environment. An autonomous car needs to employ efficient planning algorithm that generates the vehicle trajectory based on the environme...

  11. Designing for Comfort and Reliability in an Intelligent Car Seat

    OpenAIRE

    D.A. Wahab; N. F.A. Manan; M A Hannan; Abdullah, S.; Hussain, A

    2008-01-01

    Today, intelligent safety systems are installed in modern cars in view of minimising road hazards. An intelligent air bag system for example, comprised several subsystems that are integrated to include the weight sensor system, image sensor system, crash sensor system and tyre pressure monitoring system. These systems when poorly positioned into the car seat, will certainly affect comfort and reliability of the car seat. This research presents the design work on an intelligent car seat, which...

  12. Is this car looking at you? How anthropomorphism predicts fusiform face area activation when seeing cars.

    Directory of Open Access Journals (Sweden)

    Simone Kühn

    Full Text Available 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.

  13. Automatic Wall Painting Robot

    Directory of Open Access Journals (Sweden)

    P.KEERTHANAA, K.JEEVITHA, V.NAVINA, G.INDIRA, S.JAYAMANI

    2013-07-01

    Full Text Available The Primary Aim Of The Project Is To Design, Develop And Implement Automatic Wall Painting Robot Which Helps To Achieve Low Cost Painting Equipment. Despite The Advances In Robotics And Its Wide Spreading Applications, Interior Wall Painting Has Shared Little In Research Activities. The Painting Chemicals Can Cause Hazards To The Human Painters Such As Eye And Respiratory System Problems. Also The Nature Of Painting Procedure That Requires Repeated Work And Hand Rising Makes It Boring, Time And Effort Consuming. When Construction Workers And Robots Are Properly Integrated In Building Tasks, The Whole Construction Process Can Be Better Managed And Savings In Human Labour And Timing Are Obtained As A Consequence. In Addition, It Would Offer The Opportunity To Reduce Or Eliminate Human Exposure To Difficult And Hazardous Environments, Which Would Solve Most Of The Problems Connected With Safety When Many Activities Occur At The Same Time. These Factors Motivate The Development Of An Automated Robotic Painting System.

  14. Automatic alkaloid removal system.

    Science.gov (United States)

    Yahaya, Muhammad Rizuwan; Hj Razali, Mohd Hudzari; Abu Bakar, Che Abdullah; Ismail, Wan Ishak Wan; Muda, Wan Musa Wan; Mat, Nashriyah; Zakaria, Abd

    2014-01-01

    This alkaloid automated removal machine was developed at Instrumentation Laboratory, Universiti Sultan Zainal Abidin Malaysia that purposely for removing the alkaloid toxicity from Dioscorea hispida (DH) tuber. It is a poisonous plant where scientific study has shown that its tubers contain toxic alkaloid constituents, dioscorine. The tubers can only be consumed after it poisonous is removed. In this experiment, the tubers are needed to blend as powder form before inserting into machine basket. The user is need to push the START button on machine controller for switching the water pump ON by then creating turbulence wave of water in machine tank. The water will stop automatically by triggering the outlet solenoid valve. The powders of tubers are washed for 10 minutes while 1 liter of contaminated water due toxin mixture is flowing out. At this time, the controller will automatically triggered inlet solenoid valve and the new water will flow in machine tank until achieve the desire level that which determined by ultra sonic sensor. This process will repeated for 7 h and the positive result is achieved and shows it significant according to the several parameters of biological character ofpH, temperature, dissolve oxygen, turbidity, conductivity and fish survival rate or time. From that parameter, it also shows the positive result which is near or same with control water and assuming was made that the toxin is fully removed when the pH of DH powder is near with control water. For control water, the pH is about 5.3 while water from this experiment process is 6.0 and before run the machine the pH of contaminated water is about 3.8 which are too acid. This automated machine can save time for removing toxicity from DH compared with a traditional method while less observation of the user. PMID:24783795

  15. Shifting the Evolving CAR T Cell Platform into Higher Gear.

    Science.gov (United States)

    Holohan, Daniel R; Lee, James C; Bluestone, Jeffrey A

    2015-10-12

    In this issue of Cancer Cell, Zhao and colleagues test various chimeric antigen receptor (CAR) T cells to show that CD28-CD3ζ CAR T cells that constitutively express 4-1BBL promote T cell expansion and tumor eradication while reducing exhaustion. The results have important implications for the development of effective CAR T cell therapies in cancer patients. PMID:26461084

  16. 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....

  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. 49 CFR 231.9 - Tank cars without end sills.

    Science.gov (United States)

    2010-10-01

    ...) Clearance of outer end of handhold shall be not more than 12 inches from end of car. (iv) If safety railings.... (3) Location. Safety railings shall be continuous around sides and ends of car, not less than 30 nor..., DEPARTMENT OF TRANSPORTATION RAILROAD SAFETY APPLIANCE STANDARDS § 231.9 Tank cars without end sills....

  19. 76 FR 59186 - Renewal of National Grain Car Council

    Science.gov (United States)

    2011-09-23

    ... Surface Transportation Board Renewal of National Grain Car Council AGENCY: Surface Transportation Board... Board intends to renew the charter of the National Grain Car Council (NGCC). ADDRESSES: A copy of the... marketing and one car management representative from each Class I), 7 representatives from Class II and...

  20. 75 FR 53736 - Notice of National Grain Car Council Meeting

    Science.gov (United States)

    2010-09-01

    ... Surface Transportation Board Notice of National Grain Car Council Meeting AGENCY: Surface Transportation Board, DOT. ACTION: Notice of National Grain Car Council meeting. SUMMARY: Notice is hereby given of a meeting of the National Grain Car Council (NGCC), pursuant to section 10(a)(2) of the Federal...

  1. 78 FR 52606 - Notice of National Grain Car Council Meeting

    Science.gov (United States)

    2013-08-23

    ... Surface Transportation Board Notice of National Grain Car Council Meeting AGENCY: Surface Transportation Board, DOT. ACTION: Notice of National Grain Car Council meeting. SUMMARY: Notice is hereby given of a meeting of the National Grain Car Council (NGCC), pursuant to the Federal Advisory Committee Act, 5...

  2. 78 FR 58383 - Renewal of National Grain Car Council

    Science.gov (United States)

    2013-09-23

    ... Surface Transportation Board Renewal of National Grain Car Council AGENCY: Surface Transportation Board... Board intends to renew the charter of the National Grain Car Council (NGCC). ADDRESSES: A copy of the... 14 members from the Class I railroads (one marketing and one car management representative from...

  3. Some aspects of quantum entanglement for CAR systems

    OpenAIRE

    Moriya, Hajime

    2001-01-01

    We study quantum entanglement for CAR systems. Since the subsystems of disjoint regions are not independent for CAR systems, there are some distinct features of quantum entanglement which cannot be observed in tensor product systems. We show the failure of triangle inequality of von Neumann and the possible increase of entanglement degree under operations done in a local region for a bipartite CAR system.

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 49 CFR 173.31 - Use of tank cars.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 2 2010-10-01 2010-10-01 false Use of tank cars. 173.31 Section 173.31... SHIPMENTS AND PACKAGINGS Preparation of Hazardous Materials for Transportation § 173.31 Use of tank cars. (a) General. (1) No person may offer a hazardous material for transportation in a tank car unless the tank...

  9. 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...

  10. IMPORTANT INFORMATION - Flagstaff Car-Park and Park-and-Ride (P+R)

    CERN Document Server

    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...

  11. Operator overloading as an enabling technology for automatic differentiation

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. [Marquette Univ., Milwaukee, WI (United States)]|[Argonne National Lab., IL (United States); Griewank, A. [Argonne National Lab., IL (United States)

    1993-05-01

    We present an example of the science that is enabled by object-oriented programming techniques. Scientific computation often needs derivatives for solving nonlinear systems such as those arising in many PDE algorithms, optimization, parameter identification, stiff ordinary differential equations, or sensitivity analysis. Automatic differentiation computes derivatives accurately and efficiently by applying the chain rule to each arithmetic operation or elementary function. Operator overloading enables the techniques of either the forward or the reverse mode of automatic differentiation to be applied to real-world scientific problems. We illustrate automatic differentiation with an example drawn from a model of unsaturated flow in a porous medium. The problem arises from planning for the long-term storage of radioactive waste.

  12. Operator overloading as an enabling technology for automatic differentiation

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (Marquette Univ., Milwaukee, WI (United States) Argonne National Lab., IL (United States)); Griewank, A. (Argonne National Lab., IL (United States))

    1993-01-01

    We present an example of the science that is enabled by object-oriented programming techniques. Scientific computation often needs derivatives for solving nonlinear systems such as those arising in many PDE algorithms, optimization, parameter identification, stiff ordinary differential equations, or sensitivity analysis. Automatic differentiation computes derivatives accurately and efficiently by applying the chain rule to each arithmetic operation or elementary function. Operator overloading enables the techniques of either the forward or the reverse mode of automatic differentiation to be applied to real-world scientific problems. We illustrate automatic differentiation with an example drawn from a model of unsaturated flow in a porous medium. The problem arises from planning for the long-term storage of radioactive waste.

  13. Operator overloading as an enabling technology for automatic differentiation

    International Nuclear Information System (INIS)

    We present an example of the science that is enabled by object-oriented programming techniques. Scientific computation often needs derivatives for solving nonlinear systems such as those arising in many PDE algorithms, optimization, parameter identification, stiff ordinary differential equations, or sensitivity analysis. Automatic differentiation computes derivatives accurately and efficiently by applying the chain rule to each arithmetic operation or elementary function. Operator overloading enables the techniques of either the forward or the reverse mode of automatic differentiation to be applied to real-world scientific problems. We illustrate automatic differentiation with an example drawn from a model of unsaturated flow in a porous medium. The problem arises from planning for the long-term storage of radioactive waste

  14. 49 CFR 179.400 - General specification applicable to cryogenic liquid tank car tanks.

    Science.gov (United States)

    2010-10-01

    ... liquid tank car tanks. 179.400 Section 179.400 Transportation Other Regulations Relating to... MATERIALS REGULATIONS SPECIFICATIONS FOR TANK CARS Specification for Cryogenic Liquid Tank Car Tanks and... liquid tank car tanks....

  15. 49 CFR 179.201 - Individual specification requirements applicable to non-pressure tank car tanks.

    Science.gov (United States)

    2010-10-01

    ... to non-pressure tank car tanks. 179.201 Section 179.201 Transportation Other Regulations Relating to... MATERIALS REGULATIONS SPECIFICATIONS FOR TANK CARS Specifications for Non-Pressure Tank Car Tanks (Classes... car tanks....

  16. 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)

  17. Automatic Modulation Recognition by Support Vector Machines Using Wavelet Kernel

    International Nuclear Information System (INIS)

    Automatic modulation identification plays a significant role in electronic warfare, electronic surveillance systems and electronic counter measure. The task of modulation recognition of communication signals is to determine the modulation type and signal parameters. In fact, automatic modulation identification can be range to an application of pattern recognition in communication field. The support vector machines (SVM) is a new universal learning machine which is widely used in the fields of pattern recognition, regression estimation and probability density. In this paper, a new method using wavelet kernel function was proposed, which maps the input vector xi into a high dimensional feature space F. In this feature space F, we can construct the optimal hyperplane that realizes the maximal margin in this space. That is to say, we can use SVM to classify the communication signals into two groups, namely analogue modulated signals and digitally modulated signals. In addition, computer simulation results are given at last, which show good performance of the method

  18. Real Time Smart Car Security System by Using Biometrics

    OpenAIRE

    Prof. S. P. Pingat; Shubham Rakhecha; Rishabh Agrawal; Sarika Mhetre; Pranay Raushan

    2013-01-01

    In this proposed paper, two tier security for car is achieved using Biometrics such as FDS (Face Detection System) and Finger Print Detection System. FDS is used to detect the face of the person driving the car and compare it with the training set. For example, during night when the owner of car is sleeping and someone tries to rob the car then initially the finger print of that person will be detected and matched with predefined image through handle of the car where the Finger print scanner ...

  19. 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.

  20. Possible use of electric cars as balancing instrument

    Energy Technology Data Exchange (ETDEWEB)

    Tirez, Andreas; Luickx, Patrick; Woitrin, Dominique

    2010-09-15

    A massive introduction of electric cars is foreseeable in the mid to long term. Implementing a 'vehicle-to-grid' setting makes it possible to use these cars to deliver ancillary services to the electricity system. In this paper, the possibility of delivering active reserves in the Belgian control area is analyzed. We assume one million electric cars that can be connected to the Belgian grid. Based on our simulation, electric cars could be used for delivering all primary, all secondary and part of the tertiary reserves. Using electric cars as a balancing instrument would facilitate absorbing intermittent energy into the electricity system.