WorldWideScience

Sample records for automatic vehicle identification

  1. 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.

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

    Science.gov (United States)

    Sun, Jian; Feng, Yu

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

  3. 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.

  4. 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.

  5. 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.

  6. 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…

  7. Automatic Language Identification

    Science.gov (United States)

    2000-08-01

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

  8. 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...

  9. Automatic Control of Personal Rapid Transit Vehicles

    Science.gov (United States)

    Smith, P. D.

    1972-01-01

    The requirements for automatic longitudinal control of a string of closely packed personal vehicles are outlined. Optimal control theory is used to design feedback controllers for strings of vehicles. An important modification of the usual optimal control scheme is the inclusion of jerk in the cost functional. While the inclusion of the jerk term was considered, the effect of its inclusion was not sufficiently studied. Adding the jerk term will increase passenger comfort.

  10. 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...

  11. 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...

  12. Automatic identification for standing tree limb pruning

    Institute of Scientific and Technical Information of China (English)

    Sun Renshan; Li Wenbin; Tian Yongchen; Hua Li

    2006-01-01

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

  13. Video Analytics Algorithm for Automatic Vehicle Classification (Intelligent Transport System

    Directory of Open Access Journals (Sweden)

    ArtaIftikhar

    2013-04-01

    Full Text Available Automated Vehicle detection and classification is an important component of intelligent transport system. Due to significant importance in various fields such as traffic accidents avoidance, toll collection, congestion avoidance, terrorist activities monitoring, security and surveillance systems, intelligent transport system has become important field of study. Various technologies have been used for detecting and classifying vehicles automatically. Automated vehicle detection is broadly divided into two types- Hardware based and software based detection. Various algorithms have been implemented to classify different vehicles from videos. In this paper an efficient and economical solution for automatic vehicle detection and classification is proposed. The proposed system first isolates the object through background subtraction followed by vehicle detection using ontology. Vehicle detection is based on low level features such as shape, size, and spatial location. Finally system classifies vehicles into one of the known classes of vehicle based on size.

  14. Intelligent Storage System Based on Automatic Identification

    Directory of Open Access Journals (Sweden)

    Kolarovszki Peter

    2014-09-01

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

  15. Toward the Automatic Identification of Sublanguage Vocabulary.

    Science.gov (United States)

    Haas, Stephanie W.; He, Shaoyi

    1993-01-01

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

  16. Automatic vehicle counting system for traffic monitoring

    Science.gov (United States)

    Crouzil, Alain; Khoudour, Louahdi; Valiere, Paul; Truong Cong, Dung Nghy

    2016-09-01

    The article is dedicated to the presentation of a vision-based system for road vehicle counting and classification. The system is able to achieve counting with a very good accuracy even in difficult scenarios linked to occlusions and/or presence of shadows. The principle of the system is to use already installed cameras in road networks without any additional calibration procedure. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. First, the approach models each pixel of the background with an adaptive Gaussian distribution. This model is coupled with a motion detection procedure, which allows correctly location of moving vehicles in space and time. The nature of trials carried out, including peak periods and various vehicle types, leads to an increase of occlusions between cars and between cars and trucks. A specific method for severe occlusion detection, based on the notion of solidity, has been carried out and tested. Furthermore, the method developed in this work is capable of managing shadows with high resolution. The related algorithm has been tested and compared to a classical method. Experimental results based on four large datasets show that our method can count and classify vehicles in real time with a high level of performance (>98%) under different environmental situations, thus performing better than the conventional inductive loop detectors.

  17. Multibody simulation of vehicles equipped with an automatic transmission

    Science.gov (United States)

    Olivier, B.; Kouroussis, G.

    2016-09-01

    Nowadays automotive vehicles remain as one of the most used modes of transportation. Furthermore automatic transmissions are increasingly used to provide a better driving comfort and a potential optimization of the engine performances (by placing the gear shifts at specific engine and vehicle speeds). This paper presents an effective modeling of the vehicle using the multibody methodology (numerically computed under EasyDyn, an open source and in-house library dedicated to multibody simulations). However, the transmission part of the vehicle is described by the usual equations of motion computed using a systematic matrix approach: del Castillo's methodology for planetary gear trains. By coupling the analytic equations of the transmission and the equations computed by the multibody methodology, the performances of any vehicle can be obtained if the characteristics of each element in the vehicle are known. The multibody methodology offers the possibilities to develop the vehicle modeling from 1D-motion to 3D-motion by taking into account the rotations and implementing tire models. The modeling presented in this paper remains very efficient and provides an easy and quick vehicle simulation tool which could be used in order to calibrate the automatic transmission.

  18. 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.

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

    Institute of Scientific and Technical Information of China (English)

    孙剑; 冯羽

    2011-01-01

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

  20. 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.

  1. Automatic Palette Identification of Colored Graphics

    Science.gov (United States)

    Lacroix, Vinciane

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

  2. Desktop calibration of automatic transmission for passenger vehicle

    Institute of Scientific and Technical Information of China (English)

    FANG Chi; SHI Jian-peng; WANG Jun

    2014-01-01

    Desktop calibration of automatic transmission (AT) is a method which can reduce cost, enhance efficiency and shorten the development periods of a vehicle effectively. We primary introduced the principle and approach of desktop calibration of AT based on the condition of coupling characteristics between engine and torque converter and obtained right point exactly. It is shown to agree with experimental measurements reasonably well. It was used in different applications abroad based on AT technology and achieved a good performance of the vehicle compared with traditional AT technology which primary focuses on the drivability, performance and fuel consumption.

  3. Time Synchronization Module for Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

  4. An estimation-based automatic vehicle location system for public transport vehicles

    OpenAIRE

    Morenz, Tino; MEIER, RENE

    2008-01-01

    PUBLISHED Public transport vehicles often share a road network with other road users making their journeys susceptive to changing road conditions and especially to congestion. Travelers using such public transport increasingly depend on real-time information to plan their journeys. While such information can be provided by Automatic Vehicle Location (AVL) systems, AVLs depend heavily on large-scale deployment of designated sensory equipment, which may prevent their ...

  5. Model Identification of a Micro Air Vehicle

    Institute of Scientific and Technical Information of China (English)

    Jorge Ni(n)o; Flavius Mitrache; Peter Cosyn; Robin De Keyser

    2007-01-01

    This paper is focused on the model identification of a Micro Air Vehicle (MAV) in straight steady flight condition. The identification is based on input-output data collected from flight tests using both frequency and time dontain techniques. The vehicle is an in-house 40 cm wingspan airplane. Because of the complex coupled, multivariable and nonlinear dynamics of the aircraft, linear SISO structures for both the lateral and longitudinal models around a reference state were derived. The aim of the identification is to provide models that can be used in future development of control techniques for the MAV.

  6. Vehicle Dynamic Prediction Systems with On-Line Identification of Vehicle Parameters and Road Conditions

    OpenAIRE

    Ling-Yuan Hsu; Tsung-Lin Chen

    2012-01-01

    This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system. This sensor fusion system can obtain the six degree-of-freedom vehicle dynamics and two road angles without using a vehicle model. The vehicle parameter identification system uses the vehicle dynamics from the sensor fusion system to identify ten vehicle parameters in real time, including vehicle mass, moment of inertial, and road friction coefficie...

  7. Modeling and Prototyping of Automatic Clutch System for Light Vehicles

    Science.gov (United States)

    Murali, S.; Jothi Prakash, V. M.; Vishal, S.

    2017-03-01

    Nowadays, recycling or regenerating the waste in to something useful is appreciated all around the globe. It reduces greenhouse gas emissions that contribute to global climate change. This study deals with provision of the automatic clutch mechanism in vehicles to facilitate the smooth changing of gears. This study proposed to use the exhaust gases which are normally expelled out as a waste from the turbocharger to actuate the clutch mechanism in vehicles to facilitate the smooth changing of gears. At present, clutches are operated automatically by using an air compressor in the four wheelers. In this study, a conceptual design is proposed in which the clutch is operated by the exhaust gas from the turbocharger and this will remove the usage of air compressor in the existing system. With this system, usage of air compressor is eliminated and the riders need not to operate the clutch manually. This work involved in development, analysation and validation of the conceptual design through simulation software. Then the developed conceptual design of an automatic pneumatic clutch system is tested with proto type.

  8. Research on Fuzzy Control for Automatic Transmission of Tracked Vehicles

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A principle of fuzzy control for tracked vehicles is proposed to make its automatic transmission system be able to adapt complex running conditions, and a model of its power train is established to be used in simulation. Based on the fuzzy control method, a fuzzy shift control system composed of a basic shift strategy and a fuzzy modification module is developed to improve the dynamic characteristics and cross-country maneuverability. Simulation results show that the fuzzy shift strategy can improve the shift quality under manifold driving conditions and avoid cycled shift effectively. Therefore,the proposed fuzzy shift strategies are proved to be feasible and practicable.

  9. 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

  10. 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

  11. Image-Based Vehicle Identification Technology for Homeland Security Applications

    Energy Technology Data Exchange (ETDEWEB)

    Clark, G A

    2002-10-08

    The threat of terrorist attacks against US civilian populations is a very real, near-term problem that must be addressed, especially in response to possible use of Weapons of Mass Destruction. Several programs are now being funded by the US Government to put into place means by which the effects of a terrorist attack could be averted or limited through the use of sensors and monitoring technology. Specialized systems that detect certain threat materials, while effective within certain performance limits, cannot generally be used efficiently to track a mobile threat such as a vehicle over a large urban area. The key elements of an effective system are an image feature-based vehicle identification technique and a networked sensor system. We have briefly examined current uses of image and feature recognition techniques to the urban tracking problem and set forth the outlines of a proposal for application of LLNL technologies to this critical problem. The primary contributions of the proposed work lie in filling important needs not addressed by the current program: (1) The ability to create vehicle ''fingerprints,'' or feature information from images to allow automatic identification of vehicles. Currently, the analysis task is done entirely by humans. The goal is to aid the analyst by reducing the amount of data he/she must analyze and reduce errors caused by inattention or lack of training. This capability has broad application to problems associated with extraction of useful features from large data sets. (2) Improvements in the effectiveness of LLNL's WATS (Wide Area Tracking System) by providing it accurate threat vehicle location and velocity. Model predictability is likely to be enhanced by use of more information related to different data sets. We believe that the LLNL can accomplish the proposed tasks and enhance the effectiveness of the system now under development.

  12. TEXT AREA IDENTIFICATION FOR RECOGNIZING DESTINATION PLACES FROM VEHICLES

    Directory of Open Access Journals (Sweden)

    Selvanayaki K.S

    2014-07-01

    Full Text Available Nowadays, automatic detection of text from the vehicles is an important problem in many applications. Text information present in an image can be easily understood by both human and computer. It has wide applications such as license plate reading, sign detection, identification of destination places, mobile text recognition and so on. This problem is challenging due to complex backgrounds, the non-uniform illuminations, variations of text font, size and line orientation. Once the text is identified, it can be analyzed, recognized and interpreted. Hence, there is a need for a better algorithm for detection and localization of text from vehicles. A method is proposed for detecting text from vehicles. The method makes use of features such as Histogram of oriented Gradients (HOG and Local Binary Pattern (LBP. These features are stored which can be further used for feature matching at the time of classification. After the text region is being detected, it can be further subjected to character segmentation and recognition thereby identifying the destination places. The ability to recognize text area from the vehicles, especially buses has obvious applications like traffic management in the bus stands. The obtained results are verified and performance parameters like speed, precision and recall are determined.

  13. 41 CFR 102-34.85 - What motor vehicles require motor vehicle identification?

    Science.gov (United States)

    2010-07-01

    ... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false What motor vehicles require motor vehicle identification? 102-34.85 Section 102-34.85 Public Contracts and Property Management... 34-MOTOR VEHICLE MANAGEMENT Identifying and Registering Motor Vehicles Motor Vehicle...

  14. OPTIMAL CONTROL APPLIED IN AUTOMATIC CLUTCH ENGAGEMENTS OF VEHICLES

    Institute of Scientific and Technical Information of China (English)

    Sun Chengshun; Zhang Jianwu

    2004-01-01

    Start-up working condition is the key to the research of optimal engagement of automatic clutch for AMT.In order to guarantee an ideal dynamic performance of the clutch engagement,an optimal controller is designed by considering throttle angle,engine speed,gear ratio,vehicle acceleration and road condition.The minimum value principle is also introduced to achieve an optimal dynamic performance of the nonlinear system compromised in friction plate wear and vehicle drive quality.The optimal trajectory of the clutch engagement can be described in the form of explicit and analytical expressions and characterized by the deterministic and accurate control strategy in stead of indeterministic and soft control techniques which need thousands of experiments.For validation of the controller,test work is carried out for the automated clutch engagements in a commercial car with an traditional mechanical transmission,a hydraulic actuator,a group of sensors and a portable computer system.It is shown through experiments that dynamic behaviors of the clutch engagement operated by the optimal control are more effective and efficient than those by fuzzy control.

  15. Modeling and Model Identification of Autonomous Underwater Vehicles

    Science.gov (United States)

    2015-06-01

    IDENTIFICATION OF AUTONOMOUS UNDERWATER VEHICLES by Jose Alberti June 2015 Thesis Advisor: Noel du Toit Second Reader: Douglas...Master’s Thesis 4. TITLE AND SUBTITLE MODELING AND MODEL IDENTIFICATION OF AUTONOMOUS UNDERWATER VEHICLES 5. FUNDING NUMBERS 6. AUTHOR(S...unlimited 12b. DISTRIBUTION CODE 13. ABSTRACT (maximum 200 words) As autonomous underwater vehicles (AUVs) are deployed in more complex

  16. Carrier-phase differential GPS for automatic control of land vehicles

    Science.gov (United States)

    O'Connor, Michael Lee

    Real-time centimeter-level navigation has countless potential applications in land vehicles, including precise topographic field mapping, runway snowplowing in bad weather, and land mine detection and avoidance. Perhaps the most obvious and immediate need for accurate, robust land vehicle sensing is in the guidance and control of agricultural vehicles. Accurate guidance and automatic control of farm vehicles offers many potential advantages; however, previous attempts to automate these vehicles have been unsuccessful due to sensor limitations. With the recent development of real-time carrier-phase differential GPS (CDGPS), a single inexpensive GPS receiver can measure a vehicle's position to within a few centimeters and orientation to fractions of a degree. This ability to provide accurate real-time measurements of multiple vehicle states makes CDGPS ideal for automatic control of vehicles. This work describes the theoretical and experimental work behind the first successfully demonstrated automatic control system for land vehicles based on CDGPS. An extension of pseudolite-based CDGPS initialization methods was explored for land vehicles and demonstrated experimentally. Original land vehicle dynamic models were developed and identified using this innovative sensor. After initial automatic control testing using a Yamaha Fleetmaster golf cart, a centimeter-level, fully autonomous row guidance capability was demonstrated on a John Deere 7800 farm tractor.

  17. Measuring Service Reliability Using Automatic Vehicle Location Data

    Directory of Open Access Journals (Sweden)

    Zhenliang Ma

    2014-01-01

    Full Text Available Bus service reliability has become a major concern for both operators and passengers. Buffer time measures are believed to be appropriate to approximate passengers' experienced reliability in the context of departure planning. Two issues with regard to buffer time estimation are addressed, namely, performance disaggregation and capturing passengers’ perspectives on reliability. A Gaussian mixture models based method is applied to disaggregate the performance data. Based on the mixture models distribution, a reliability buffer time (RBT measure is proposed from passengers’ perspective. A set of expected reliability buffer time measures is developed for operators by using different spatial-temporal levels combinations of RBTs. The average and the latest trip duration measures are proposed for passengers that can be used to choose a service mode and determine the departure time. Using empirical data from the automatic vehicle location system in Brisbane, Australia, the existence of mixture service states is verified and the advantage of mixture distribution model in fitting travel time profile is demonstrated. Numerical experiments validate that the proposed reliability measure is capable of quantifying service reliability consistently, while the conventional ones may provide inconsistent results. Potential applications for operators and passengers are also illustrated, including reliability improvement and trip planning.

  18. 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.

  19. FORENSIC LINGUISTICS: AUTOMATIC WEB AUTHOR IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    A. A. Vorobeva

    2016-03-01

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

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

    Science.gov (United States)

    Jones, Christopher R; Fazio, Russell H

    2010-08-01

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

  1. A Dynamic Visualization Environment For The Design And Evaluation Of Automatic Vehicle Control Systems

    OpenAIRE

    Xu, Z.

    1995-01-01

    This document presents Dynamic Visualization, a project associated with the California PATH Program. The objective of the project is to develop a software which can animate automated highways, visualize the dynamics of automatic vehicles, and help the design and evaluation of automatic vehicle systems. This report summarizes the accomplishments of the project, describes the functions of the developed software, and provides an explanation of how to use the software.

  2. Vehicle dynamic prediction systems with on-line identification of vehicle parameters and road conditions.

    Science.gov (United States)

    Hsu, Ling-Yuan; Chen, Tsung-Lin

    2012-01-01

    This paper presents a vehicle dynamics prediction system, which consists of a sensor fusion system and a vehicle parameter identification system. This sensor fusion system can obtain the six degree-of-freedom vehicle dynamics and two road angles without using a vehicle model. The vehicle parameter identification system uses the vehicle dynamics from the sensor fusion system to identify ten vehicle parameters in real time, including vehicle mass, moment of inertial, and road friction coefficients. With above two systems, the future vehicle dynamics is predicted by using a vehicle dynamics model, obtained from the parameter identification system, to propagate with time the current vehicle state values, obtained from the sensor fusion system. Comparing with most existing literatures in this field, the proposed approach improves the prediction accuracy both by incorporating more vehicle dynamics to the prediction system and by on-line identification to minimize the vehicle modeling errors. Simulation results show that the proposed method successfully predicts the vehicle dynamics in a left-hand turn event and a rollover event. The prediction inaccuracy is 0.51% in a left-hand turn event and 27.3% in a rollover event.

  3. 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.

  4. A model for automatic identification of human pulse signals

    Institute of Scientific and Technical Information of China (English)

    Hui-yan WANG; Pei-yong ZHANG

    2008-01-01

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

  5. Unattended vehicle detection for automatic traffic light control

    Science.gov (United States)

    Abdel Hady, Aya Salama; Moustafa, Mohamed

    2013-12-01

    Machine vision based traffic light control depends mainly on measuring traffic statistics at cross roads. Most of the previous studies have not taken unattended vehicles into consideration when calculating either the traffic density or the traffic flow. In this paper, we propose incorporating unattended vehicles into a new metric for measuring the traffic congestion. In addition to the vehicle motion analysis, opening the driver's side door is an important indicator that this vehicle is going to be unattended. Therefore, we focus in this paper on presenting how to detect this event for stationary vehicles from a live camera or a video feed. Through a set of experiments, we have found out that a Scale Invariant Feature Transform (SIFT) feature-descriptor with a Support Vector Machines (SVM) classifier was able to successfully classify open-door vehicles from closed-door ones in 96.7% of our test dataset.

  6. Comparative Analysis of Automatic Vehicle Classification Techniques: A Survey

    Directory of Open Access Journals (Sweden)

    Kanwal Yousaf

    2012-09-01

    Full Text Available Vehicle classification has emerged as a significant field of study because of its importance in variety of applications like surveillance, security system, traffic congestion avoidance and accidents prevention etc. So far numerous algorithms have been implemented for classifying vehicle. Each algorithm follows different procedures for detecting vehicles from videos. By evaluating some of the commonly used techniques we highlighted most beneficial methodology for classifying vehicles. In this paper we pointed out the working of several video based vehicle classification algorithms and compare these algorithms on the basis of different performance metrics such as classifiers, classification methodology or principles and vehicle detection ratio etc. After comparing these parameters we concluded that Hybrid Dynamic Bayesian Network (HDBN Classification algorithm is far better than the other algorithms due to its nature of estimating the simplest features of vehicles from different videos. HDBN detects vehicles by following important stages of feature extraction, selection and classification. It extracts the rear view information of vehicles rather than other information such as distance between the wheels and height of wheel etc.

  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. Application of Machine Vision to Vehicle Automatic Collision Warning Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Jiang-feng; GAO Feng; XU Guo-yan; YAO Sheng-zhuo

    2008-01-01

    Using the new technologies such as information technology, communication technology and electronic control technology, vehicle collision warning system(CWS) can acquire road condition, adjacent vehicle march condition as well as its dynamics performance continuously, then it can forecast the oncoming potential collision and give a warning. Based on the analysis of driver's driving behavior, algorithm's warning norms are determined. Based on warning norms adopting machine vision method, the cooperation collision warning algorithm(CWA) model with multi-input and multi-output is established which is used in supporting vehicle CWS. The CWA is tested using the actual data and the result shows that this algorithm can identify and carry out warning for vehicle collision efficiently, which has important meaning for improving the vehicle travel safety.

  9. The systems of automatic weight control of vehicles in the road and rail transport in Poland

    Directory of Open Access Journals (Sweden)

    2011-09-01

    Full Text Available . Condition of roads in Poland, despite the on-going modernisation works is still unsatisfactory. One reason is the excessive wear caused by overloaded vehicles. This problem also applies to rail transport, although to a much lesser extent. One solution may be the system of automatic weight control of road and rail vehicles. The article describes the legal and organizational conditions of oversize vehicles inspection in Poland. Characterized current practices weighing road vehicles, based on measurements of static technology. The article includes the description of the existing applications of the automatic dynamic weighing technology, known as systems WIM (Weigh in Motion. Additionally, the weighing technology and construction of weighing stands in road and rail are characterized. The article ends with authors' conclusions indicating the direction and ways of improving the weighing control systems for vehicles.

  10. Derivation and Testing of Computer Algorithms for Automatic Real-Time Determination of Space Vehicle Potentials in Various Plasma Environments

    Science.gov (United States)

    1988-05-31

    COMPUTER ALGORITHMS FOR AUTOMATIC REAL-TIME DETERMINATION OF SPACE VEHICLE POTENTIALS IN VARIOUS PLASMA ENVIRONMENTS May 31, 1988 Stanley L. Spiegel...crrnaion DiviSiofl 838 12 2 DERIVATION AND TESTING OF COMPUTER ALGORITHMS FOR AUTOMATIC REAL-TIME DETERMINATION OF SPACE VEHICLE POTENTIALS IN VARIOUS...S.L., "Derivation and testing of computer algorithms for automatic real time determination of space vehicle poteuatials in various plasma

  11. 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.

  12. Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles

    KAUST Repository

    Mousa, Mustafa

    2016-04-28

    Probe vehicles consist in mobile traffic sensor networks that evolve with the flow of vehicles, transmitting velocity and position measurements along their path, generated using GPSs. To address the urban positioning issues of GPSs, we propose to replace them with inertial measurement units onboard vehicles, to estimate vehicle location and attitude using inertial data only. While promising, this technology requires one to carefully calibrate the orientation of the device inside the vehicle to be able to process the acceleration and rate gyro data. In this article, we propose a scheme that can perform this calibration automatically by leveraging the kinematic constraints of ground vehicles, and that can be implemented on low-end computational platforms. Preliminary testing shows that the proposed scheme enables one to accurately estimate the actual accelerations and rotation rates in the vehicle coordinates. © 2016 IEEE.

  13. 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.

  14. Study on shift schedule saving energy of automatic transmission of ground vehicles

    Institute of Scientific and Technical Information of China (English)

    龚捷; 赵丁选; 陈鹰; 陈宁

    2004-01-01

    To improve ground vehicle efficiency, shift schedule energy saving was proposed for the ground vehicle automatic transmission by studying the function of the torque converter and transmission in the vehicular drivetrain. The shift schedule can keep the torque converter working in the high efficiency range under all the working conditions except in the low efficiency range on the left when the transmission worked at the lowest shift, and in the low efficiency range on the right when the transmission worked at the highest shift. The shift quality key factors were analysed. The automatic trans-mission's bench-test adopting this shift schedule was made on the automatic transmission's test-bed. The experimental results showed that the shift schedule was correct and that the shift quality was controllable.

  15. Study on shift schedule saving energy of automatic transmission of ground vehicles

    Institute of Scientific and Technical Information of China (English)

    龚捷; 赵丁选; 陈鹰; 陈宁

    2004-01-01

    To improve ground vehicle efficiency,shift schedule energy saving was proposed for the ground vehicle automatic transmission by studying the function of the torque converter and transmission in the vehicular drivetrain.The shift schedule can keep the torque converter working in the high efficiency range under all the working conditions except in the low efficiency range on the left when the transmission worked at the lowest shift,and in the low efficiency range on the right when the transmission worked at the highest shift.The shift quality key factors were analysed.The automatic transmission's bench-test adopting this shift schedule was made on the automatic transmission's test-bed.The experimental results showed that the shift schedule was correct and that the shift quality was controllable.

  16. Internal combustion engine for vehicles with automatic gearbox. Brennkraftmaschine fuer Kraftfahrzeuge mit einem automatischen Getriebe

    Energy Technology Data Exchange (ETDEWEB)

    Hetmann, R.

    1982-04-19

    The invention refers to an internal combustion engine for vehicles with an automatic gearbox, where the internal combustion engine has a first group of cylinders and at least one second group of cylinders, and a device for affecting the fuel supply to the groups of cylinders, depending on the working parameters of the vehicle. The invention is characterised by the fact that the working parameters are the handbrake and footbrake of the vehicle, and that the device for affecting the fuel supply to the groups of cylinders when the footbrake or handbrake is operated makes it possible to supply fuel to only part of the groups of cylinders. The control switches of both braking systems are connected to the fuel supply control via a logic circuit. This arrangement of the system prevents damage when testing the braking speed of the automatic gearbox due to excessive loads.

  17. Automatic Vehicle License Recognition Based on Video Vehicular Detection System

    Institute of Scientific and Technical Information of China (English)

    YANG Zhaoxuan; CHEN Yang; HE Yinghua; WU Jun

    2006-01-01

    Traditional methods of license character extraction cannot meet the requirements of recognition accuracy and speed rendered by the video vehicular detection system.Therefore, a license plate localization method based on multi-scale edge detection and a character segmentation algorithm based on Markov random field model is presented.Results of experiments demonstrate that the method yields more accurate license character extraction in contrast to traditional localization method based on edge detection by difference operator and character segmentation based on threshold.The accuracy increases from 90% to 94% under preferable illumination, while under poor condition, it increases more than 5%.When the two improved algorithms are used, the accuracy and speed of automatic license recognition meet the system's requirement even under the noisy circumstance or uneven illumination.

  18. Channel Access Algorithm Design for Automatic Identification System

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Li Jiao

    2012-02-01

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

  20. Automatic Identification of Antibodies in the Protein Data Bank

    Institute of Scientific and Technical Information of China (English)

    LI Xun; WANG Renxiao

    2009-01-01

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

  1. An embedded omnidirectional vision navigator for automatic guided vehicles

    Science.gov (United States)

    Feng, Weijia; Zhang, Baofeng; Röning, Juha; Cao, Zuoliang; Zong, Xiaoning

    2011-01-01

    Omnidirectional vision appears the definite significance since its advantage of acquiring full 360° horizontal field of vision information simultaneously. In this paper, an embedded original omnidirectional vision navigator (EOVN) based on fish-eye lens and embedded technology has been researched. Fish-eye lens is one of the special ways to establish omnidirectional vision. However, it appears with an unavoidable inherent and enormous distortion. A unique integrated navigation method which is conducted on the basis of targets tracking has been proposed. It is composed of multi-target recognition and tracking, distortion rectification, spatial location and navigation control. It is called RTRLN. In order to adapt to the different indoor and outdoor navigation environments, we implant mean-shift and dynamic threshold adjustment into the Particle Filter algorithm to improve the efficiency and robustness of tracking capability. RTRLN has been implanted in an independent development embedded platform. EOVN likes a smart crammer based on COMS+FPGA+DSP. It can guide various vehicles in outdoor environments by tracking the diverse marks hanging in the air. The experiments prove that the EOVN is particularly suitable for the guidance applications which need high requirements on precision and repeatability. The research achievements have a good actual applied inspection.

  2. 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.

  3. Automatic Identification System modular receiver for academic purposes

    Science.gov (United States)

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

    2016-07-01

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

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

    Science.gov (United States)

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

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

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

    Science.gov (United States)

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

    2016-01-01

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

  6. 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.

  7. Bond graph modeling, simulation, and reflex control of the Mars planetary automatic vehicle

    Science.gov (United States)

    Amara, Maher; Friconneau, Jean Pierre; Micaelli, Alain

    1993-01-01

    The bond graph modeling, simulation, and reflex control study of the Planetary Automatic Vehicle are considered. A simulator derived from a complete bond graph model of the vehicle is presented. This model includes both knowledge and representation models of the mechanical structure, the floor contact, and the Mars site. The MACSYMEN (French acronym for aided design method of multi-energetic systems) is used and applied to study the input-output power transfers. The reflex control is then considered. Controller architecture and locomotion specificity are described. A numerical stage highlights some interesting results of the robot and the controller capabilities.

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

    Science.gov (United States)

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

    2007-02-15

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

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

    Science.gov (United States)

    2006-08-01

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

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

    Science.gov (United States)

    2014-03-27

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

  11. An Automatic System of Vehicle Number-Plate Recognition Based on Neural Networks

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper presents an automatic system of vehicle number-plate recognition based on neural networks. In this system, location of number-plate and recognition of characters in number-plate can be automatically completed. Pixel colors of Number-plate area are classified using neural network, then color features are extracted by analyzing scanning lines of the cross-section of number-plate. It takes full use of number-plate color features to locate number plate. Characters in number-plate can be effectively recognized using the neural networks. Experimental results show that the correct rate of number-plate location is close to 100%, and the time of number-plate location is less than 1 second. Moreover, recognition rate of characters is improved due to the known number-plate type. It is also observed that this system is not sensitive to variations of weather, illumination and vehicle speed. In addition, and also the size of number-plate need not to be known in prior. This system is of crucial significance to apply and spread the automatic system of vehicle number-plate recognition.

  12. Electronic Vehicle Identification Architecture and Proof of Concept

    NARCIS (Netherlands)

    Passchier, I.; Chevrollier, N.G.; Mulder,A.; Vliet,A.O.T.van

    2009-01-01

    An architecture and a proof of concept for Electronic Vehicle Identification have beendeveloped. The system has been successfully tested in a pilot with 23 participants over a period of three months and a total distance of 75.000 km travelled. The architecture consists of a functional definition, a

  13. Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual transmission

    Institute of Scientific and Technical Information of China (English)

    QIN Datong; YE Ming; LIU Zhenjun

    2007-01-01

    The actual regenerative braking force of an integrated starter/generator (ISG),which is varied with desired braking deceleration and vehicle speed,is calculated based on an analysis of the required deceleration,maximum braking force of ISG,engine braking force and state of charge (SOC) of battery.Braking force distribution strategies are presented according to the actual regenerative braking force of ISG.To recover the vehicle's kinetic energy maximally,braking shift rules for a mild hybrid electric vehicle (HEV) equipped with automatic manual transmission (AMT) are brought forward and effects of transmission ratios are considered.A test-bed is built up and regenerative braking tests are carried out.The results show that power recovered by the braking shift rules is more than that recovered by the normal braking control rules.

  14. 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...

  15. 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.

  16. Identification of Vehicle Health Assurance Related Trends

    Science.gov (United States)

    Phojanamongkolkij, Nipa; Evans, Joni K.; Barr, Lawrence C.; Leone, Karen M.; Reveley, Mary S.

    2014-01-01

    Trend analysis in aviation as related to vehicle health management (VHM) was performed by reviewing the most current statistical and prognostics data available from the National Transportation Safety Board (NTSB) accident, the Federal Aviation Administration (FAA) incident, and the NASA Aviation Safety Reporting System (ASRS) incident datasets. In addition, future directions in aviation technology related to VHM research areas were assessed through the Commercial Aviation Safety Team (CAST) Safety Enhancements Reserved for Future Implementations (SERFIs), the National Transportation Safety Board (NTSB) Most-Wanted List and recent open safety recommendations, the National Research Council (NRC) Decadal Survey of Civil Aeronautics, and the Future Aviation Safety Team (FAST) areas of change. Future research direction in the VHM research areas is evidently strong as seen from recent research solicitations from the Naval Air Systems Command (NAVAIR), and VHM-related technologies actively being developed by aviation industry leaders, including GE, Boeing, Airbus, and UTC Aerospace Systems. Given the highly complex VHM systems, modifications can be made in the future so that the Vehicle Systems Safety Technology Project (VSST) technical challenges address inadequate maintenance crew's trainings and skills, and the certification methods of such systems as recommended by the NTSB, NRC, and FAST areas of change.

  17. Vehicle Identification using Discrete Spectrums in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Seung S. Yang

    2008-04-01

    Full Text Available We studied the possibility of using wireless sensor networks for vehicle identification in a large open field. This is exciting research in that it not only presents a challenge but has practicality. The challenge here is to develop algorithms and/or protocols for sensor nodes to execute a given task. Since each sensor node has limited computation and communication capabilities, these limitations prohibit the use of algorithms and/or protocols developed for conventional computers and networks. Each sensor is dispensable and easily deployable, it can do meaningful work when it is collaborated as a networked cluster; therefore it is very practical in application. Our goal is to identify vehicles in real time using acoustic signal sensors and wireless networks. Our contribution in this paper is three fold. First, we developed a simple vehicle sound identification algorithm enough to be implemented for capacity limited sensor nodes. Second, we proposed architecture and protocols of wireless sensor networks for vehicle identification using this developed sound classification algorithm. Third, we proposed a cooperation model among sensors to expedite the classification process. Our preliminary results show the proposed architecture and protocols are promising.

  18. Vehicle identification using fuzzy adaline neural network

    Directory of Open Access Journals (Sweden)

    Gokul Murugesan

    2013-01-01

    Full Text Available Video surveillance is an important aspect in today’s world, where a particular scene of area requires monitoring to avoid terrorist attacks and unauthorized entries. Vehicle recognition is an important area in object tracking and recognition. Objects may be of rigid or non-rigid in nature with varying velocity and have different features. Important features like shape, logo, color and texture are complex in nature. Hence there is a need of better algorithm for detecting and identifying the objects like car. A new method is proposed for recognizing the cars present in the video. At first the features like shape is extracted using moments, logo using the Scale Invariant Feature Transform (SIFT and the RGB color values of the car body. Using these features the recognition is carried out to classify the type of car. Recognition of cars has range of application like, military surveillance, traffic management, autonomous navigation system, auto parking.

  19. Vehicle-to-Grid Automatic Load Sharing with Driver Preference in Micro-Grids

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Yubo; Nazaripouya, Hamidreza; Chu, Chi-Cheng; Gadh, Rajit; Pota, Hemanshu R.

    2014-10-15

    Integration of Electrical Vehicles (EVs) with power grid not only brings new challenges for load management, but also opportunities for distributed storage and generation. This paper comprehensively models and analyzes distributed Vehicle-to-Grid (V2G) for automatic load sharing with driver preference. In a micro-grid with limited communications, V2G EVs need to decide load sharing based on their own power and voltage profile. A droop based controller taking into account driver preference is proposed in this paper to address the distributed control of EVs. Simulations are designed for three fundamental V2G automatic load sharing scenarios that include all system dynamics of such applications. Simulation results demonstrate that active power sharing is achieved proportionally among V2G EVs with consideration of driver preference. In additional, the results also verify the system stability and reactive power sharing analysis in system modelling, which sheds light on large scale V2G automatic load sharing in more complicated cases.

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

    OpenAIRE

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

    2015-01-01

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

  1. A REVIEW OF COMPUTER VISION SYSTEM FOR THE VEHICLE IDENTIFICATION AND CLASSIFICATION FROM ONLINE AND OFFLINE VIDEOS

    Directory of Open Access Journals (Sweden)

    Baljit Singh Mokha

    2015-10-01

    Full Text Available The traffic on the roads is increasing day by day. There is dire need of developing an automation system that can effectively manage and control the traffic on roads. The traffic data of multiple vehicle types on roads is also important for taking various decisions related to traffic. A video based traffic data collection system for multiple vehicle types is helpful for monitoring vehicles under homogenous and heterogeneous traffic conditions. In this paper, we have studied different methods for the identification, classification and counting vehicles from online and offline videos in India as well as other countries. The paper also discusses the various applications of video based automatic traffic control system. The various challenges faced by the researchers for developing such systems are also discussed.

  2. Correlation analysis-based image segmentation approach for automatic agriculture vehicle

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    It is important to segment image correctly to extract guidance information for automatic agriculture vehicle. If we can make the computer know where the crops are, we can extract the guidance line easily. Images were divided into some rectangle small windows, then a pair of 1-D arrays was constructed in each small windows. The correlation coefficients of every small window constructed the features to segment images. The results showed that correlation analysis is a potential approach for processing complex farmland for guidance system, and more correlation analysis methods must be researched.

  3. OPTIMAL TORQUE CONTROL STRATEGY FOR PARALLEL HYBRID ELECTRIC VEHICLE WITH AUTOMATIC MECHANICAL TRANSMISSION

    Institute of Scientific and Technical Information of China (English)

    GU Yanchun; YIN Chengliang; ZHANG Jianwu

    2007-01-01

    In parallel hybrid electrical vehicle (PHEV) equipped with automatic mechanical transmission (AMT), the driving smoothness and the clutch abrasion are the primary considerations for powertrain control during gearshift and clutch operation. To improve these performance indexes of PHEV, a coordinated control system is proposed through the analyzing of HEV powertrain dynamic characteristics. Using the method of minimum principle, the input torque of transmission is optimized to improve the driving sinoothness of vehicle. Using the methods of fuzzy logic and fuzzy-PID, the engaging speed of clutch and the throttle opening of engine are manipulated to ensure the smoothness of clutch engagement and reduce the abrasion of clutch friction plates. The motor provides the difference between the required input torque of transmission and the torque transmitted through clutch plates. Results of simulation and experiments show that the proposed control strategy performs better than the contrastive control system, the smoothness of driving and the abrasion of clutch can be improved simultaneously.

  4. Automatic identification of artifacts in electrodermal activity data.

    Science.gov (United States)

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

    2015-01-01

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

  5. Thruster Modelling for Underwater Vehicle Using System Identification Method

    Directory of Open Access Journals (Sweden)

    Mohd Shahrieel Mohd Aras

    2013-05-01

    Full Text Available This paper describes a study of thruster modelling for a remotely operated underwater vehicle (ROV by system identification using Microbox 2000/2000C. Microbox 2000/2000C is an XPC target machine device to interface between an ROV thruster with the MATLAB 2009 software. In this project, a model of the thruster will be developed first so that the system identification toolbox in MATLAB can be used. This project also presents a comparison of mathematical and empirical modelling. The experiments were carried out by using a mini compressor as a dummy depth pressure applied to a pressure sensor. The thruster model will thrust and submerge until it reaches a set point and maintain the set point depth. The depth was based on pressure sensor measurement. A conventional proportional controller was used in this project and the results gathered justified its selection.

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

    Science.gov (United States)

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

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

  7. Automatic player detection and identification for sports entertainment applications

    NARCIS (Netherlands)

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

    2014-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

  9. Neural Network Control-Based Drive Design of Servomotor and Its Application to Automatic Guided Vehicle

    Directory of Open Access Journals (Sweden)

    Ming-Shyan Wang

    2015-01-01

    Full Text Available An automatic guided vehicle (AGV is extensively used for productions in a flexible manufacture system with high efficiency and high flexibility. A servomotor-based AGV is designed and implemented in this paper. In order to steer the AGV to go along a predefined path with corner or arc, the conventional proportional-integral-derivative (PID control is used in the system. However, it is difficult to tune PID gains at various conditions. As a result, the neural network (NN control is considered to assist the PID control for gain tuning. The experimental results are first provided to verify the correctness of the neural network plus PID control for 400 W-motor control system. Secondly, the AGV includes two sets of the designed motor systems and CAN BUS transmission so that it can move along the straight line and curve paths shown in the taped videos.

  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. 3-D Storm Automatic Identification Based on Mathematical Morphology

    Institute of Scientific and Technical Information of China (English)

    HAN Lei; ZHENG Yongguang; WANG Hongqing; LIN Yinjing

    2009-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Guojun Dai

    2013-08-01

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

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

    Science.gov (United States)

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

    2013-08-16

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

  14. FOUR-PARAMETER AUTOMATIC TRANSMISSION TECHNOLOGY FOR CONSTRUCTION VEHICLE BASED ON ELMAN RECURSIVE NEURAL NETWORK

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hongyan; ZHAO Dingxuan; TANG Xinxing; Ding Chunfeng

    2008-01-01

    From the viewpoint of energy saving and improving transmission efficiency, the ZL50E wheel loader is taken as the study object. And the system model is analyzed based on the transmission system of the construction vehicle. A new four-parameter shift schedule is presented, which can keep the torque converter working in the high efficiency area. The control algorithm based on the Elman recursive neural network is applied, and four-parameter control system is developed which is based on industrial computer. The system is used to collect data accurately and control 4D180 power-shift gearbox of ZL50E wheel loader shift timely. An experiment is done on automatic transmission test-bed, and the result indicates that the control system could reliably and safely work and improve the efficiency of hydraulic torque converter. Four-parameter shift strategy that takes into account the power consuming of the working pump has important operating significance and reflects the actual working status of construction vehicle.

  15. Study on dynamic optimization of the double railway suspended vehicle for automatic transportation in the welding shop

    Institute of Scientific and Technical Information of China (English)

    Huang Dawei; Gao Xiuhua; Xing Hao; Liu Hongxue; Han Yanhe

    2007-01-01

    The 2DOF dynamic equations of the double railway suspended vehicle for automatic transportation in the welding shop are established. The sensitivities are analyzed. The parameter design is researched in ADAMS in terms of the inner railway radius, wheelbase, gauge, girder length of the double railway suspended vehicle for automatic transportation in the welding product line. The mutual-restriction among the design variables is discussed and the selective ranges of the variables are confirmed. The result shows that the stability of the double railway suspended vehicle for automatic transportation in the welding product line depends on parameters of the inner railway radius, wheelbase, gauge, girder length. The optimal results of the optimal objective and design variables have research significance for the virtual prototype of the double suspension railway automation vehicle. The optimal results are input into the simulation model iteratively and the simulation results are fed back to the physical prototype. The veracity and reliability of performance forecast are improved so that the manufacture cost of the double suspension railway automation vehicle is reduced significantly.

  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 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.

  18. Pavement crack identification based on automatic threshold iterative method

    Science.gov (United States)

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

    2017-01-01

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

  19. 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)

  20. 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...

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

    NARCIS (Netherlands)

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

    2005-01-01

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

  2. Defect Automatic Identification of Eddy Current Pulsed Thermography

    Directory of Open Access Journals (Sweden)

    Kai Chen

    2014-01-01

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

  3. Automatic identification of model reductions for discrete stochastic simulation

    Science.gov (United States)

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

    2012-07-01

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

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

    Science.gov (United States)

    Kara, Ilker

    2016-05-01

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

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

    Science.gov (United States)

    1984-03-30

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

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

    Science.gov (United States)

    2014-12-01

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

  7. Identification of potential locations of electric vehicle supply equipment

    Science.gov (United States)

    Brooker, R. Paul; Qin, Nan

    2015-12-01

    Proper placement of electric vehicle supply equipment (charging stations) requires an understanding of vehicle usage patterns. Using data from the National Household Travel Survey on vehicle mileage and destination patterns, analyses were performed to determine electric vehicles' charging needs, as a function of battery size and state of charge. This paper compares electric vehicle charging needs with Department of Energy electric vehicle charging data from real-world charging infrastructure. By combining the electric vehicles charging needs with charging data from real-world applications, locations with high electric vehicle charging likelihood are identified.

  8. Automatic Identification of Systolic Time Intervals in Seismocardiogram

    Science.gov (United States)

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

    2016-11-01

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

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

    Science.gov (United States)

    Monwar, Md. Maruf; Gavrilova, Marina

    2010-04-01

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

  10. New Navigation System for Automatic Guided Vehicles Using an Ultrasonic Sensor Array

    Science.gov (United States)

    Tabata, Katsuhiko; Nishida, Yoshifumi; Iida, Yoshihiro; Iwai, Toshiaki

    We propose a new navigation system for Automatic Guided Vehicles (AGV) used as a carrier in the factory. The guided marker of the navigation system is composed of ultrasonic transducers instead of the traditional markers such as electromagnetic tape, light reflective tape and so on. The proposed system is available to be used not only indoors but also outdoors and adaptable to a temporary route. The ultrasonic sensor is generically susceptible to noise, so that we make the following propositions. First, a phased array of the ultrasonic sensors is employed in searching a land marker to improve the signal-to-noise ratio. Second, the specific ID with 7bits is assigned as the land marker to avoid the system errors ascribable to an ultrasonic interference. In addition, the proposed system is quite compact in virtue of the embedded technology of a microcomputer and Field Programmable Gate Array (FPGA). This paper reports the development of the proto-type system of navigation system and confirmation of its fundamental performances.

  11. Automatic Parameter Tuning for the Morpheus Vehicle Using Particle Swarm Optimization

    Science.gov (United States)

    Birge, B.

    2013-01-01

    A high fidelity simulation using a PC based Trick framework has been developed for Johnson Space Center's Morpheus test bed flight vehicle. There is an iterative development loop of refining and testing the hardware, refining the software, comparing the software simulation to hardware performance and adjusting either or both the hardware and the simulation to extract the best performance from the hardware as well as the most realistic representation of the hardware from the software. A Particle Swarm Optimization (PSO) based technique has been developed that increases speed and accuracy of the iterative development cycle. Parameters in software can be automatically tuned to make the simulation match real world subsystem data from test flights. Special considerations for scale, linearity, discontinuities, can be all but ignored with this technique, allowing fast turnaround both for simulation tune up to match hardware changes as well as during the test and validation phase to help identify hardware issues. Software models with insufficient control authority to match hardware test data can be immediately identified and using this technique requires very little to no specialized knowledge of optimization, freeing model developers to concentrate on spacecraft engineering. Integration of the PSO into the Morpheus development cycle will be discussed as well as a case study highlighting the tool's effectiveness.

  12. 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.

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

    Science.gov (United States)

    Magalhães, Filipe; Cunha, Álvaro; Caetano, Elsa

    2009-02-01

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

  14. Piloted Simulation Evaluation of a Model-Predictive Automatic Recovery System to Prevent Vehicle Loss of Control on Approach

    Science.gov (United States)

    Litt, Jonathan S.; Liu, Yuan; Sowers, Thomas S.; Owen, A. Karl; Guo, Ten-Huei

    2014-01-01

    This paper describes a model-predictive automatic recovery system for aircraft on the verge of a loss-of-control situation. The system determines when it must intervene to prevent an imminent accident, resulting from a poor approach. It estimates the altitude loss that would result from a go-around maneuver at the current flight condition. If the loss is projected to violate a minimum altitude threshold, the maneuver is automatically triggered. The system deactivates to allow landing once several criteria are met. Piloted flight simulator evaluation showed the system to provide effective envelope protection during extremely unsafe landing attempts. The results demonstrate how flight and propulsion control can be integrated to recover control of the vehicle automatically and prevent a potential catastrophe.

  15. Image structural analysis in the tasks of automatic navigation of unmanned vehicles and inspection of Earth surface

    Science.gov (United States)

    Lutsiv, Vadim; Malyshev, Igor

    2013-10-01

    The automatic analysis of images of terrain is urgent for several decades. On the one hand, such analysis is a base of automatic navigation of unmanned vehicles. On the other hand, the amount of information transferred to the Earth by modern video-sensors increases, thus a preliminary classification of such data by onboard computer becomes urgent. We developed an object-independent approach to structural analysis of images. While creating the methods of image structural description, we did our best to abstract away from the partial peculiarities of scenes. Only the most general limitations were taken into account, that were derived from the laws of organization of observable environment and from the properties of image formation systems. The practical application of this theoretic approach enables reliable matching the aerospace photographs acquired from differing aspect angles, in different day-time and seasons by sensors of differing types. The aerospace photographs can be matched even with the geographic maps. The developed approach enabled solving the tasks of automatic navigation of unmanned vehicles. The signs of changes and catastrophes can be detected by means of matching and comparison of aerospace photographs acquired at different time. We present the theoretical proofs of chosen strategy of structural description and matching of images. Several examples of matching of acquired images with template pictures and maps of terrain are shown within the frameworks of navigation of unmanned vehicles or detection of signs of disasters.

  16. 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.

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

    Science.gov (United States)

    Jiang, Bo; Liu, Sijiang; Wu, Song

    2016-07-01

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

  18. 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%.

  19. THE APPLICATION OF RTK-GPS AND STEER-BY-WIRE TECHNOLOGY TO THE AUTOMATIC DRIVING OF VEHICLES AND AN EVALUATION OF DRIVER BEHAVIOR

    Directory of Open Access Journals (Sweden)

    Manabu OMAE

    2006-01-01

    Full Text Available Automatic vehicle driving has long been the subject of research efforts designed to improve the safety and efficiency of automobile transportation. In recent years, increasingly sophisticated sensors and automobiles have brought automatic driving systems closer to reality. In this paper we describe an attempt to apply real-time kinematic GPS (RTK-GPS, a highly precise positioning system, and steer-by-wire body technology, which has advanced greatly in recent years, to automatic driving. In addition, we also describe the results of research into human factors related to automatic driving, which will become more and more important as automatic driving is put to practical use.

  20. Hybrid three-dimensional and support vector machine approach for automatic vehicle tracking and classification using a single camera

    Science.gov (United States)

    Kachach, Redouane; Cañas, José María

    2016-05-01

    Using video in traffic monitoring is one of the most active research domains in the computer vision community. TrafficMonitor, a system that employs a hybrid approach for automatic vehicle tracking and classification on highways using a simple stationary calibrated camera, is presented. The proposed system consists of three modules: vehicle detection, vehicle tracking, and vehicle classification. Moving vehicles are detected by an enhanced Gaussian mixture model background estimation algorithm. The design includes a technique to resolve the occlusion problem by using a combination of two-dimensional proximity tracking algorithm and the Kanade-Lucas-Tomasi feature tracking algorithm. The last module classifies the shapes identified into five vehicle categories: motorcycle, car, van, bus, and truck by using three-dimensional templates and an algorithm based on histogram of oriented gradients and the support vector machine classifier. Several experiments have been performed using both real and simulated traffic in order to validate the system. The experiments were conducted on GRAM-RTM dataset and a proper real video dataset which is made publicly available as part of this work.

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

    Science.gov (United States)

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

    2013-01-01

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

  2. Vision system for driving control using camera mounted on an automatic vehicle. Jiritsu sokosha no camera ni yoru shikaku system

    Energy Technology Data Exchange (ETDEWEB)

    Nishimori, K.; Ishihara, K.; Tokutaka, H.; Kishida, S.; Fujimura, K. (Tottori University, Tottori (Japan). Faculty of Engineering); Okada, M. (Mazda Corp., Hiroshima (Japan)); Hirakawa, S. (Fujitsu Corp., Tokyo (Japan))

    1993-11-30

    The present report explains a vision system, in which a CCD camera, used for the model vehicle automatically traveling by fuzzy control, is used as a vision sensor. The vision system is composed of input image processing module, situation recognition/analysis module to three-dimensionally recover the road, route-selecting navigation module to avoid the obstacle and vehicle control module. The CCD camera is used as a vision sensor to make the model vehicle automatically travel by fuzzy control with the above modules. In the present research, the traveling is controlled by treating the position and configuration of objective in image as a fuzzy inferential variable. Based on the above method, the traveling simulation gave the following knowledge: even with the image information only from the vision system, the application of fuzzy control facilitates the traveling. If the objective is clearly known, the control is judged able to be made even from vague image which does not necessitate the exact locative information. 4 refs., 11 figs.

  3. 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.

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

    Science.gov (United States)

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

    2014-01-01

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

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

    Science.gov (United States)

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

    2013-09-10

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

  6. 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.

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

    Science.gov (United States)

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

    2015-04-01

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

  8. 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.

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

    Science.gov (United States)

    Sakurai, Yoshihisa; Fujita, Zenya; Ishige, Yusuke

    2016-04-02

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

  10. Investigation of Matlab® as platform in navigation and control of an Automatic Guided Vehicle utilising an omnivision sensor.

    Science.gov (United States)

    Kotze, Ben; Jordaan, Gerrit

    2014-08-25

    Automatic Guided Vehicles (AGVs) are navigated utilising multiple types of sensors for detecting the environment. In this investigation such sensors are replaced and/or minimized by the use of a single omnidirectional camera picture stream. An area of interest is extracted, and by using image processing the vehicle is navigated on a set path. Reconfigurability is added to the route layout by signs incorporated in the navigation process. The result is the possible manipulation of a number of AGVs, each on its own designated colour-signed path. This route is reconfigurable by the operator with no programming alteration or intervention. A low resolution camera and a Matlab® software development platform are utilised. The use of Matlab® lends itself to speedy evaluation and implementation of image processing options on the AGV, but its functioning in such an environment needs to be assessed.

  11. Investigation of Matlab® as Platform in Navigation and Control of an Automatic Guided Vehicle Utilising an Omnivision Sensor

    Directory of Open Access Journals (Sweden)

    Ben Kotze

    2014-08-01

    Full Text Available Automatic Guided Vehicles (AGVs are navigated utilising multiple types of sensors for detecting the environment. In this investigation such sensors are replaced and/or minimized by the use of a single omnidirectional camera picture stream. An area of interest is extracted, and by using image processing the vehicle is navigated on a set path. Reconfigurability is added to the route layout by signs incorporated in the navigation process. The result is the possible manipulation of a number of AGVs, each on its own designated colour-signed path. This route is reconfigurable by the operator with no programming alteration or intervention. A low resolution camera and a Matlab® software development platform are utilised. The use of Matlab® lends itself to speedy evaluation and implementation of image processing options on the AGV, but its functioning in such an environment needs to be assessed.

  12. MaNIAC-UAV - a methodology for automatic pavement defects detection using images obtained by Unmanned Aerial Vehicles

    Science.gov (United States)

    Henrique Castelo Branco, Luiz; César Lima Segantine, Paulo

    2015-09-01

    Intelligent Transportation Systems - ITS is a set of integrated technologies (Remote Sensing, Image Processing, Communications Systems and others) that aim to offer services and advanced traffic management for the several transportation modes (road, air and rail). Collect data on the characteristics and conditions of the road surface and keep them update is an important and difficult task that needs to be currently managed in order to reduce accidents and vehicle maintenance costs. Nowadays several roads and highways are paved, but usually there is insufficient updated data about current condition and status. There are different types of pavement defects on the roads and to keep them in good condition they should be constantly monitored and maintained according to pavement management strategy. This paper presents a methodology to obtain, automatically, information about the conditions of the highway asphalt pavement. Data collection was done through remote sensing using an UAV (Unmanned Aerial Vehicle) and the image processing and pattern recognition techniques through Geographic Information System.

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

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

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

    Science.gov (United States)

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

    2005-02-01

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

  16. Vehicle Theft Alert and Location Identification Using GSM, GPS and Web Technologies

    Directory of Open Access Journals (Sweden)

    Garba Suleiman

    2016-07-01

    Full Text Available Insecurity is one of the major challenges that the entire world is facing now, each country having their peculiar security issues. The crime rate in every part of the society these days has become a threatening issue such that vehicles are now used for committing criminal activities more than before. The issue of vehicle theft has increased tremendously, mostly at gunpoint or car parks. In view of these, there is a need for adequate records of stolen, identified and recovered vehicles which are not readily available in our society and as such very important. The development of a vehicle theft alert and location identification system becomes more necessary for vehicle owners to ensure theft prevention and a speedy identification towards recovery efforts in situations where a vehicle is missing, stolen or driven by an unauthorized person. The theft alert function makes use of a GSM application developed and installed in a mobile phone device which is embedded in the vehicle to communicate with the vehicle owner’s mobile phone. The communication is established via SMS (i.e. between the installed mobile phone device and that of the vehicle owner. The communications established include; (i. Sending an SMS alert from installed mobile phone device to vehicle owner mobile phone when the car ignition is put on. (ii. Sending an SMS from the vehicle owner’s mobile phone to start and stop the installed mobile phone device application. The location identification function makes use of a web application developed to; (i. Determine the real time location of a vehicle by means of tracking using GPS. (ii. Broadcast missing or stolen vehicle information to social media and security agency. The implementation of the installed mobile phone device application was done using JAVA because of its capabilities in programming mobile applications while PHP and MySQL was used for the web application functions. Integration testing of the system was carried out using

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

    Science.gov (United States)

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

    2015-03-01

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

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

    Science.gov (United States)

    White, Jonathan; Panda, Brajendra

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

  19. The IXV vehicle model identification subsystem: Off-line estimation framework

    Science.gov (United States)

    Béjar-Romero, J. A.; Bidaux-Sokolowski, A.; Maina, S.; Preaud, J. P.

    2016-07-01

    The Intermediate eXperimental Vehicle (IXV) is an ESA re-entry technological platform built to verify in-flight the performance of critical re-entry technologies. The successful flight of the IXV provides the key elements to consolidate the knowledge necessary for the development of future European re-entry systems. The exploitation of in-flight data represents a cornerstone for this flying test bench. In this frame the IXV Vehicle Model Identification subsystem, VMI, represents those steps, techniques and algorithms that shall be applied to the collected data in order to improve the prediction capabilities for future design of re-entry vehicles and specifically to: Improve IXV flight dynamics model. Validate aerodynamic prediction methods based on Wind Tunnel Tests, WTT, and Computational Fluid Dynamics, CFD. Validate the vehicle model identification process and tools.

  20. 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

  1. Flight dynamics modeling of a small ducted fan aerial vehicle based on parameter identification

    Institute of Scientific and Technical Information of China (English)

    Wang Zhengjie; Liu Zhijun; Fan Ningjun; Guo Meifang

    2013-01-01

    This paper presents a simple and useful modeling method to acquire a dynamics model of an aerial vehicle containing unknown parameters using mechanism modeling, and then to design different identification experiments to identify the parameters based on the sources and features of its unknown parameters. Based on the mathematical model of the aerial vehicle acquired by modeling and identification, a design for the structural parameters of the attitude control system is carried out, and the results of the attitude control flaps are verified by simulation experiments and flight tests of the aerial vehicle. Results of the mathematical simulation and flight tests show that the mathematical model acquired using parameter identification is comparatively accurate and of clear mechanics, and can be used as the reference and basis for the structural design.

  2. Real-Time Identification of Wheel Terrain Interaction Models for Enhanced Autonomous Vehicle Mobility

    Science.gov (United States)

    2014-04-24

    capable instrumentation. • A system reliant on RTK GPS would not be very practical and we show it to be unnecessary. 7/6/2014 Vehicle - Ground...includes: – Moblility logs (post-processed RTK - GPS pose, wheel odometry) for 3 different terrain (grass, dirt, parking lot) on the LandTamer (6x6...Platform Retrofit 7/6/2014 Vehicle - Ground Model Identification 12 AVT GT1920C GigE Camera Pose System: Novatel OEMV-3 GPS Receiver + Honeywell

  3. Parameter design and performance analysis of shift actuator for a two-speed automatic mechanical transmission for pure electric vehicles

    Directory of Open Access Journals (Sweden)

    Jianjun Hu

    2016-08-01

    Full Text Available Recent developments of pure electric vehicles have shown that pure electric vehicles equipped with two-speed or multi-speed gearbox possess higher energy efficiency by ensuring the drive motor operates at its peak performance range. This article presents the design, analysis, and control of a two-speed automatic mechanical transmission for pure electric vehicles. The shift actuator is based on a motor-controlled camshaft where a special geometric groove is machined, and the camshaft realizes the axial positions of the synchronizer sleeve for gear engaging, disengaging, and speed control of the drive motor. Based on the force analysis of shift process, the parameters of shift actuator and shift motor are designed. The drive motor’s torque control strategy before shifting, speed governing control strategy before engaging, shift actuator’s control strategy during gear engaging, and drive motor’s torque recovery strategy after shift process are proposed and implemented with a prototype. To validate the performance of the two-speed gearbox, a test bed was developed based on dSPACE that emulates various operation conditions. The experimental results indicate that the shift process with the proposed shift actuator and control strategy could be accomplished within 1 s under various operation conditions, with shift smoothness up to passenger car standard.

  4. Design and construction of an automatic system for minimizing the risk of sinking of water vehicle

    Science.gov (United States)

    Sutradhar, Amit; Rashid, Md. Mahbubur; Helal-An-Nahiyan, Md.; Mandal, Manash Kumar

    2016-07-01

    This paper focuses on the reduction of the risk of water vehicle like launch, ferry, ship and boat from sinking which is a burning problem of Bangladesh now-a-days. Every year death toll is rising by leaps and bounds due to this unexpected phenomenon. The sinking mostly occurs due to overloading and lack of consciousness. That's why, an automated system is introduced here to make the travelers warned about the overloading situation through raising alarm before the vehicle starts to move on. The tolerance limit of the vehicle is determined based on the theory of buoyancy and floatation. Moreover, while moving on the water, the vehicle may get victim of sinking due to rough weather, low visibility or machineries breakdown. So water level indicator is used to determine the safe level of water. When water level rises up to the safe limit or just before crossing the safe limit, another alarm will warn the passengers which will sound quite different from the first alarm as stated before. And at once the on board GPS sensor will record the current position of the vehicle and transmit the location to the nearest rescue authority via GSM module in the form of text message which will help them to take necessary steps for the rescue of the passengers as soon as possible. Effective implementation of this method can reduce the accident as well as this research can also be a helpful tool to organize further researches in this field for the sake of humanity.

  5. 基于RFID的车辆自动化智能管理系统研究%Research of vehicle automatic management system based on RFID

    Institute of Scientific and Technical Information of China (English)

    张丽然; 沈胜利

    2012-01-01

    In order to solve the current residential parking problem,the residential vehicle automatic management system is designed based on ETC technology. With the analysis of the actual demand, the system includes three parts: vehicle out and in management, vehicle positioning management and vehicle parking management. The vehicle out and in management system could identify and confirm the vehicles going into the community automatically; vehicle positioning management system is responsible for tracking and positioning the vehicle in the community; vehicle parking management system would assign and unlock the parking space for the vehicle automatically. After practices, it proves that the system has good performance and practical value.%基于解决当前小区停车难问题的目的,采用ETC电子不停车收费相关技术,设计了小区车辆自动化管理系统;通过对实际需求的分析,所设计的系统主要包括3个部分:车辆出入管理、定位管理以及停车管理。其中,车辆出入管理系统对进入的车辆进行身份的自动识别和确认;车辆定位管理系统负责对在小区申行驶的车辆进行追踪定位;车辆停车管理系统则为进入的车辆自动分配车住和开启车位锁。经过实践的证明,本系统性能良好,具有较好的实用价值。

  6. Concussion in Motor Vehicle Accidents: The Concussion Identification Index

    Science.gov (United States)

    2016-08-03

    Motor Vehicle Accidents; TBI (Traumatic Brain Injury); Brain Contusion; Brain Injuries; Cortical Contusion; Concussion Mild; Cerebral Concussion; Brain Concussion; Accidents, Traffic; Traffic Accidents; Traumatic Brain Injury With Brief Loss of Consciousness; Traumatic Brain Injury With no Loss of Consciousness; Traumatic Brain Injury With Loss of Consciousness

  7. Investigation into on-road vehicle parameter identification based on subspace methods

    Science.gov (United States)

    Dong, Guangming; Chen, Jin; Zhang, Nong

    2014-12-01

    The randomness of road-tyre excitations can excite the low frequency ride vibrations of bounce, pitch and roll modes of an on-road vehicle. In this paper, modal parameters and mass moments of inertia of an on-road vehicle are estimated with an acceptable accuracy only by measuring accelerations of vehicle sprung mass and unsprung masses, which is based on subspace identification methods. The vehicle bounce, pitch and roll modes are characterized by their large damping (damping ratio 0.2-0.3). Two kinds of subspace identification methods, one that uses input/output data and the other that uses output data only, are compared for the highly damped modes. It is shown that, when the same data length is given, larger error of modal identification results can be clearly observed for the method using output data only; while additional use of input data will significantly reduce estimation variance. Instead of using tyre forces as inputs, which are difficult to be measured or estimated, vertical accelerations of unsprung masses are used as inputs. Theoretical analysis and Monte Carlo experiments show that, when the vehicle speed is not very high, subspace identification method using accelerations of unsprung masses as inputs can give more accurate results compared with the method using road-tyre forces as inputs. After the modal parameters are identified, and if vehicle mass and its center of gravity are pre-determined, roll and pitch moments of inertia of an on-road vehicle can be directly computed using the identified frequencies only, without requiring accurate estimation of mode shape vectors and multi-variable optimization algorithms.

  8. Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

    Directory of Open Access Journals (Sweden)

    Roman Popescu Maria Alexandra

    2016-12-01

    Full Text Available Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting time at traffic light. The first objective serves mainly the road transportation field, mainly because it removes the need for collaboration with local authorities to establish a national network of traffic lights. The second objective is important not only for companies which are providing navigation solutions, but especially for authorities, institutions, companies operating in road traffic management systems. Real-time dynamic determination of traffic queue length and of waiting time at traffic lights allow the creation of dynamic systems, intelligent and flexible, adapted to actual traffic conditions, and not to generic, theoretical models. Thus, cities can approach the Smart City concept by boosting, efficienting and greening the road transport, promoted in Europe through the Horizon 2020, Smart Cities, Urban Mobility initiative.

  9. Driver head displacement during (automatic) vehicle braking tests with varying levels of distraction

    NARCIS (Netherlands)

    Rooij, L. van; Pauwelussen, J.; Camp, O.M.G.C. op den; Janssen, J.M.

    2013-01-01

    Vehicle occupant behavior in emergency driving conditions has a large effect on traffic safety. Distraction is estimated to be the cause of 15-20% of all crashes. Additionally, the posture of the occupants prior to the possibly unavoidable crash is known to have a large effect on the injury reducing

  10. 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.

  11. A Communication Protocol and Monitoring Policy for Input/Output Vehicles in an Automatic Storage and Retrieval System

    Institute of Scientific and Technical Information of China (English)

    LI Li; LI Wenfeng; LIAO Xiaoping; SU Wengui; LIN Yizhong

    2006-01-01

    The acquisition and processing of equipment information is pivotal to control and management of the automated storage and retrieval system. The work of this paper is based on the automatic storage and retrieval experimental system of Wuhan University of Technology. First, the output/input flow and the control information of storage/retrieval vehicle are studied and the plotting finite state machine model of the stacking crane is established. Then, the communication protocol between the center control management computer and the PLC of stacking crane is designed. Finally, the stacking crane's monitoring data, which include operating time, running states and real-time position status, are gained by analyzing the communication protocol. The detailed program for the acquisition and processing of monitoring information is developed. This method is suitable for the equipment monitoring of the whole system, and provides a platform for studying the intelligent control and optimal scheduling strategies of AS/RS.

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

    Science.gov (United States)

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

    2016-10-01

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

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

    Science.gov (United States)

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

    2003-06-01

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

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

    Science.gov (United States)

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

    2015-03-01

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

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

    Science.gov (United States)

    Ge, Mei; Mawdsley, Gordon; Yaffe, Martin

    2011-03-01

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

  16. 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.

  17. Spectral analysis methods for vehicle interior vibro-acoustics identification

    Science.gov (United States)

    Hosseini Fouladi, Mohammad; Nor, Mohd. Jailani Mohd.; Ariffin, Ahmad Kamal

    2009-02-01

    Noise has various effects on comfort, performance and health of human. Sound are analysed by human brain based on the frequencies and amplitudes. In a dynamic system, transmission of sound and vibrations depend on frequency and direction of the input motion and characteristics of the output. It is imperative that automotive manufacturers invest a lot of effort and money to improve and enhance the vibro-acoustics performance of their products. The enhancement effort may be very difficult and time-consuming if one relies only on 'trial and error' method without prior knowledge about the sources itself. Complex noise inside a vehicle cabin originated from various sources and travel through many pathways. First stage of sound quality refinement is to find the source. It is vital for automotive engineers to identify the dominant noise sources such as engine noise, exhaust noise and noise due to vibration transmission inside of vehicle. The purpose of this paper is to find the vibro-acoustical sources of noise in a passenger vehicle compartment. The implementation of spectral analysis method is much faster than the 'trial and error' methods in which, parts should be separated to measure the transfer functions. Also by using spectral analysis method, signals can be recorded in real operational conditions which conduce to more consistent results. A multi-channel analyser is utilised to measure and record the vibro-acoustical signals. Computational algorithms are also employed to identify contribution of various sources towards the measured interior signal. These achievements can be utilised to detect, control and optimise interior noise performance of road transport vehicles.

  18. Modeling and identification of flexible joints in vehicle structures

    OpenAIRE

    Lee, Kwangju

    1991-01-01

    A simple, design-oriented model of joints in vehicle structures is developed. This model accounts for the flexibility, the offsets of rotation centers of joint branches, and the coupling between rotations of a joint branch in different planes. The model parameters consist of torsional spring rates, the coordinates of the flexible hinges, and the orientations of planes in which the torsional springs are located. The model parameters are selected to be physically meaningful. In s...

  19. Automatic Registration of Wide Area Motion Imagery to Vector Road Maps by Exploiting Vehicle Detections.

    Science.gov (United States)

    Elliethy, Ahmed; Sharma, Gaurav

    2016-11-01

    To enrich large-scale visual analytics applications enabled by aerial wide area motion imagery (WAMI), we propose a novel methodology for accurately registering a geo-referenced vector roadmap to WAMI by using the locations of detected vehicles and determining a parametric transform that aligns these locations with the network of roads in the roadmap. Specifically, the problem is formulated in a probabilistic framework, explicitly allowing for spurious detections that do not correspond to on-road vehicles. The registration is estimated via the expectation-maximization (EM) algorithm as the planar homography that minimizes the sum of weighted squared distances between the homography-mapped detection locations and the corresponding closest point on the road network, where the weights are estimated posterior probabilities of detections being on-road vehicles. The weighted distance minimization is efficiently performed using the distance transform with the Levenberg-Marquardt nonlinear least-squares minimization procedure, and the fraction of spurious detections is estimated within the EM framework. The proposed method effectively sidesteps the challenges of feature correspondence estimation, applies directly to different imaging modalities, is robust to spurious detections, and is also more appropriate than feature matching for a planar homography. Results over three WAMI data sets captured by both visual and infrared sensors indicate the effectiveness of the proposed methodology: both visual comparison and numerical metrics for the registration accuracy are significantly better for the proposed method as compared with the existing alternatives.

  20. Automatic braking system modification for the Advanced Transport Operating Systems (ATOPS) Transportation Systems Research Vehicle (TSRV)

    Science.gov (United States)

    Coogan, J. J.

    1986-01-01

    Modifications were designed for the B-737-100 Research Aircraft autobrake system hardware of the Advanced Transport Operating Systems (ATOPS) Program at Langley Research Center. These modifications will allow the on-board flight control computer to control the aircraft deceleration after landing to a continuously variable level for the purpose of executing automatic high speed turn-offs from the runway. A bread board version of the proposed modifications was built and tested in simulated stopping conditions. Test results, for various aircraft weights, turnoff speed, winds, and runway conditions show that the turnoff speeds are achieved generally with errors less than 1 ft/sec.

  1. Study of automatic and manual terminal guidance and control systems for space shuttle vehicles. Volume 1: Sections 1 through 3

    Science.gov (United States)

    Osder, S.; Keller, R.

    1971-01-01

    The results of a study to analyze, design, and evaluate guidance and control systems are presented that start at an altitude of about 100,000 feet and bring the unpowered space shuttle orbiters to a precision horizontal landing. The systems under consideration included fully automatic versions which involve no pilot participation as well as various manual configurations that provide combinations of displays and control augmentation which permit the pilot to control the vehicle to a successful landing. Two classes of vehicles were studied: the low cross range or straight-wing orbiter and the high cross range or delta-wing (delta body) orbiter. The recommended navigation, guidance and control system is shown to be compatible with realistic physical constraints that would exist in space shuttlecraft and to be consistent with the 1971 avionics equipment state of the art. Aircraft capable of aerodynamically simulating the various candidate space shuttlecraft in their unpowered, terminal area descent were investigated, and flight test recommendations, including system mechanizations, are made.

  2. 汽车自动行驶装置设计%Design of vehicle automatic driving device

    Institute of Scientific and Technical Information of China (English)

    吴小邦

    2012-01-01

    The control of fire engines automatically traveling, mainly related to the key technologies of the steering, gear, brake and clutch control,its organization has used the machinery integration type or the air operated integration types of control,may be installed near the gear shift box in the vehicle and the bottom of the cab outside the narrow space. Use fire engine gas source and apply the pneumatic control localization,can be easy debugging and maintenance-free. Use single-power control solenoid valve, can be done for vehicles when it meet unexpected power outages,the every cylinder can be back to its original position.%对消防车自动行驶的控制,主要涉及转向、排挡、刹车和离合器控制等关键技术,其机构均采用机械集成式或气动集成控制形式,可安装在车辆的换挡箱附近、驾驶室外底部狭小空间;利用消防车的气源,应用气动控制定位,使调试更加方便、免维护;采用单电控电磁阀能确保在车辆意外断电时各气缸回复至原位.

  3. 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.

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

    Science.gov (United States)

    Nava, F. Alejandro; Glowacka, Ewa

    1994-06-01

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

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

    Science.gov (United States)

    Ahmad, S R

    2004-10-01

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

  6. 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.

  7. Shifting Rule Modification Strategy of Automatic Transmission Based on Driver-vehicle-road Environment

    Institute of Scientific and Technical Information of China (English)

    WU Guangqiang; ZHANG Deming

    2010-01-01

    Accidental or frequent shift often occurs when the shifting rule is built based on traditional two parameters (I.e., velocity and throttle), because the speed of engine varies slower than change of throttle opening. Currently, modifying shift point velocity value or throttle by throttle change rate is one of common methods, but the results are not so satisfactory in some working condition such as uphill. The reason is that these methods merely consider throttle change rate which is not enough for a car driving in driver-vehicle-road environment system. So a novel fuzzy control modification strategy is proposed to avoid or reduce those abnormal shift actions. It can adjust shifting rule by the change rate of throttle, current gear position and road environment information, while different gear position and driving environment get corresponding modification value. In order to compare the results of shifting actions, fuel consumption and braking distance, emergent braking in level road and extra-urban driving cycle(EUDC) working conditions with fuzzy shifting schedule modification strategy are simulated digitally. Furthermore, a hardware-in-the-loop simulation platform is introduced to verify its effect in slope road condition according to the ON/OFF numbers of solenoid valve in hydraulic system. The simulation results show that the problem of unexpected shift in those working conditions may be resolved by fuzzy modification strategy. At last, it is concluded that although there is some slight decline in power performance in uphill situation, this fuzzy modification strategy could correctly identify slope of road, decrease braking distance, improve vehicle comfort and fuel economy effectively and prolong the life of clutch system. So, this fuzzy logic shifting strategy provides important References for vehicle intelligent shifting schedule.

  8. PARAMETRIC IDENTIFICATION AND SENSITIVITY ANALYSIS FOR AUTONOMOUS UNDERWATER VEHICLES IN DIVING PLANE

    Institute of Scientific and Technical Information of China (English)

    XU Feng; ZOU Zao-jian; YIN Jian-chuan; CAO Jian

    2012-01-01

    The inherent strongly nonlinear and coupling performance of the Autonomous Underwater Vehicles (AUV),maneuvering motion in the diving plane determines its difficulty in parametric identification.The motion parameters in diving plane are obtained by executing the Zigzag-like motion based on a mathematical model of maneuvering motion.A separate identification method is put forward for parametric identification by investigating the motion equations.Support vector machine is proposed to estimate the hydrodynamic derivatives by analyzing the data of surge,heave and pitch motions.Compared with the standard coefficients,the identified parameters show the validation of the proposed identification method.Sensitivity analysis based on numerical simulation demonstrates that poor sensitive derivative gives bad estimation results.Finally the motion simulation is implemented based on the dominant sensitive derivatives to verify the reconstructed model.

  9. 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.

  10. Parameter identification of multi-body railway vehicle models - Application of the adjoint state approach

    Science.gov (United States)

    Kraft, S.; Puel, G.; Aubry, D.; Funfschilling, C.

    2016-12-01

    For the calibration of multi-body models of railway vehicles, the identification of the model parameters from on-track measurement is required. This involves the solution of an inverse problem by minimising the misfit function which describes the distance between model and measurement using optimisation methods. The application of gradient-based optimisation methods is advantageous but necessitates an efficient approach for the computation of the gradients considering the large number of model parameters and the costly evaluation of the forward model. This work shows that the application of the adjoint state approach to the nonlinear vehicle-track multi-body system is suitable, reducing on the one hand the computational cost and increasing on the other hand the precision of the gradients. Gradients from the adjoint state method are computed for vehicle models and validated taking into account measurement noise.

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

    Directory of Open Access Journals (Sweden)

    Christopher C. Darlington

    2011-11-01

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

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

    Science.gov (United States)

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

    2017-02-04

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

  14. 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.

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

    Science.gov (United States)

    Clemins, Patrick J.; Johnson, Michael T.

    2003-04-01

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

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

    Institute of Scientific and Technical Information of China (English)

    张卓

    2016-01-01

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

  17. Design of an Integrated Vehicle Chassis Control System with Driver Behavior Identification

    OpenAIRE

    Bing Zhu; Yizhou Chen; Jian Zhao; Yunfu Su

    2015-01-01

    An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal cu...

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

    Science.gov (United States)

    Ouyang, Qinghua; Zhou, Li; Liu, Xiaotong

    2016-04-01

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

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

    Science.gov (United States)

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

    2010-08-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-08-21

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

  1. Nonlinear automatic landing control of unmanned aerial vehicles on moving platforms via a 3D laser radar

    Energy Technology Data Exchange (ETDEWEB)

    Hervas, Jaime Rubio; Tang, Hui [School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798 (Singapore); Reyhanoglu, Mahmut [Physical Sciences Department, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114 (United States)

    2014-12-10

    This paper presents a motion tracking and control system for automatically landing Unmanned Aerial Vehicles (UAVs) on an oscillating platform using Laser Radar (LADAR) observations. The system itself is assumed to be mounted on a ship deck. A full nonlinear mathematical model is first introduced for the UAV. The ship motion is characterized by a Fourier transform based method which includes a realistic characterization of the sea waves. LADAR observation models are introduced and an algorithm to process those observations for yielding the relative state between the vessel and the UAV is presented, from which the UAV's state relative to an inertial frame can be obtained and used for feedback purposes. A sliding mode control algorithm is derived for tracking a landing trajectory defined by a set of desired waypoints. An extended Kalman filter (EKF) is proposed to account for process and observation noises in the design of a state estimator. The effectiveness of the control algorithm is illustrated through a simulation example.

  2. Study of automatic and manual terminal guidance and control systems for space shuttle vehicles. Volume 2: Section 4 through appendix B

    Science.gov (United States)

    Osder, S.; Keller, R.

    1971-01-01

    Guidance and control design studies that were performed for three specific space shuttle candidate vehicles are described. Three types of simulation were considered. The manual control investigations and pilot evaluations of the automatic system performance is presented. Recommendations for systems and equipment, both airborne and ground-based, necessary to flight test the guidance and control concepts for shuttlecraft terminal approach and landing are reported.

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

    Science.gov (United States)

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

    2012-11-01

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

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

    Directory of Open Access Journals (Sweden)

    Goehler Heike

    2009-03-01

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

  5. Experimental analysis of vehicle-bridge interaction using a wireless monitoring system and a two-stage system identification technique

    Science.gov (United States)

    Kim, Junhee; Lynch, Jerome P.

    2012-04-01

    Deterioration of bridges under repeated traffic loading has called attention to the need for improvements in the understanding of vehicle-bridge interaction. While analytical and numerical models have been previously explored to describe the interaction that exists between a sprung mass (i.e., a moving vehicle) and an elastic beam (i.e., bridge), comparatively less research has been focused on the experimental observation of vehicle-bridge interaction. A wireless monitoring system with wireless sensors installed on both the bridge and moving vehicle is proposed to record the dynamic interaction between the bridge and vehicle. Time-synchronized vehicle-bridge response data is used within a two-stage system identification methodology. In the first stage, the free-vibration response of the bridge is used to identify the dynamic characteristics of the bridge. In the second stage, the vehicle-bridge response data is used to identify the time varying load imposed on the bridge from the vehicle. To test the proposed monitoring and system identification strategy, the 180 m long Yeondae Bridge (Icheon, Korea) was selected. A dense network of wireless sensors was installed on the bridge while wireless sensors were installed on a multi-axle truck. The truck was driven across the bridge at constant velocity with bridge and vehicle responses measured. Excellent agreement between the measured Yeondae Bridge response and that predicted by an estimated vehicle-bridge interaction model validates the proposed strategy.

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

    Directory of Open Access Journals (Sweden)

    Culf Adrian

    2011-10-01

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

  7. Physical parameter identification method based on modal analysis for two-axis on-road vehicles: Theory and simulation

    Science.gov (United States)

    Zheng, Minyi; Zhang, Bangji; Zhang, Jie; Zhang, Nong

    2016-07-01

    Physical parameters are very important for vehicle dynamic modeling and analysis. However, most of physical parameter identification methods are assuming some physical parameters of vehicle are known, and the other unknown parameters can be identified. In order to identify physical parameters of vehicle in the case that all physical parameters are unknown, a methodology based on the State Variable Method(SVM) for physical parameter identification of two-axis on-road vehicle is presented. The modal parameters of the vehicle are identified by the SVM, furthermore, the physical parameters of the vehicle are estimated by least squares method. In numerical simulations, physical parameters of Ford Granada are chosen as parameters of vehicle model, and half-sine bump function is chosen to simulate tire stimulated by impulse excitation. The first numerical simulation shows that the present method can identify all of the physical parameters and the largest absolute value of percentage error of the identified physical parameter is 0.205%; and the effect of the errors of additional mass, structural parameter and measurement noise are discussed in the following simulations, the results shows that when signal contains 30 dB noise, the largest absolute value of percentage error of the identification is 3.78%. These simulations verify that the presented method is effective and accurate for physical parameter identification of two-axis on-road vehicles. The proposed methodology can identify all physical parameters of 7-DOF vehicle model by using free-decay responses of vehicle without need to assume some physical parameters are known.

  8. Multi-spectral synthetic image generation for ground vehicle identification training

    Science.gov (United States)

    May, Christopher M.; Pinto, Neil A.; Sanders, Jeffrey S.

    2016-05-01

    There is a ubiquitous and never ending need in the US armed forces for training materials that provide the warfighter with the skills needed to differentiate between friendly and enemy forces on the battlefield. The current state of the art in battlefield identification training is the Recognition of Combat Vehicles (ROC-V) tool created and maintained by the Communications - Electronics Research, Development and Engineering Center Night Vision and Electronic Sensors Directorate (CERDEC NVESD). The ROC-V training package utilizes measured visual and thermal imagery to train soldiers about the critical visual and thermal cues needed to accurately identify modern military vehicles and combatants. This paper presents an approach to augment the existing ROC-V imagery database with synthetically generated multi-spectral imagery that will allow NVESD to provide improved training imagery at significantly lower costs.

  9. Development and Testing of an Automatic Transmission Shift Schedule Algorithm for Vehicle Simulation (SAE Paper 2015-01-1142)

    Science.gov (United States)

    The Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) modeling tool was created by EPA to estimate greenhouse gas (GHG) emissions of light-duty vehicles. ALPHA is a physics-based, forward-looking, full vehicle computer simulation capable of analyzing various vehicle type...

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

    Institute of Scientific and Technical Information of China (English)

    叶猛; 高璐; 纪圣谋; 葛中芹; 徐健健

    2013-01-01

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

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

    Science.gov (United States)

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

    2017-03-01

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

  12. Longitudinal parameter identification of a small unmanned aerial vehicle based on modified particle swarm optimization

    Directory of Open Access Journals (Sweden)

    Jiang Tieying

    2015-06-01

    Full Text Available This paper describes a longitudinal parameter identification procedure for a small unmanned aerial vehicle (UAV through modified particle swam optimization (PSO. The procedure is demonstrated using a small UAV equipped with only an micro-electro-mechanical systems (MEMS inertial measuring element and a global positioning system (GPS receiver to provide test information. A small UAV longitudinal parameter mathematical model is derived and the modified method is proposed based on PSO with selective particle regeneration (SRPSO. Once modified PSO is applied to the mathematical model, the simulation results show that the mathematical model is correct, and aerodynamic parameters and coefficients of the propeller can be identified accurately. Results are compared with those of PSO and SRPSO and the comparison shows that the proposed method is more robust and faster than the other methods for the longitudinal parameter identification of the small UAV. Some parameter identification results are affected slightly by noise, but the identification results are very good overall. Eventually, experimental validation is employed to test the proposed method, which demonstrates the usefulness of this method.

  13. Study on the Framework of Vehicle Automatic Navigation System%车辆自动导航系统基本框架研究

    Institute of Scientific and Technical Information of China (English)

    张可; 刘小明; 王笑京

    2001-01-01

    讨论了车辆自动导航系统的基本框架,将其划分为路网数据库管理、车辆定位、路线优化、路线引导4个子系统,并提出了各个子系统需要实现的功能,以及实现这些功能所需的关键技术%As one of the important research aspect of IntelligentTransportation System (ITS), the technique of vehicle automatic navigation has shown great prospect for application. This paper discusses the framework of the vehicle automatic navigation system, which could be divided into four subsystems: the database management subsystem for the road networks, the vehicle positioning subsystem, the route planning subsystem and the route guidance subsystem. The functions of each subsystem and the key techniques for realizing these functions are proposed.

  14. Unmanned Surface Vehicle Automatic Navigation Based On GPS%基于 GPS 定位的无人艇自主导航

    Institute of Scientific and Technical Information of China (English)

    陈永泽; 舒军勇; 王真亮; 谢能刚

    2016-01-01

    This paper mainly investigated unmanned surface vehicle automatic navigation based on GPS.According to the GPS received position coordinates and planning target point coordinates,this paper put forward an automatic navigation algorithm.Experimental sample of unmanned surface vehicle was established and actual trajectory was gained.By the actual trajectory and the comparison of theoretical trajectory as a result,we proved that the unmanned surface vehicle navigation algorithm has good robustness.%研究了基于 GPS 定位技术的无人艇自主导航。根据 GPS 接收到的位置坐标和规划的目标点坐标,提出一种自主导航算法。研制了无人艇实验样船,得到了无人艇实际航行轨迹。实际航行轨迹和理论航行轨迹的对比结果表明:该无人艇自主导航算法具有良好的鲁棒性。

  15. 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.

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

    Directory of Open Access Journals (Sweden)

    Yevgeny Beiderman

    2014-12-01

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

  17. Electric Vehicle Preparedness: Task 2, Identification of Vehicles for Installation of Data Loggers for Marine Corps Base Camp Lejeune

    Energy Technology Data Exchange (ETDEWEB)

    Schey, Stephen [Idaho National Lab. (INL), Idaho Falls, ID (United States); Francfort, Jim [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-02-01

    In Task 1, a survey was completed of the inventory of non-tactical fleet vehicles at the Marine Corps Base Camp Lejeune (MCBCL) to characterize the fleet. This information and characterization was used to select vehicles for further monitoring, which involves data logging of vehicle movements in order to identify the vehicle’s mission and travel requirements. Individual observations of these selected vehicles provide the basis for recommendations related to PEV adoption. It also identifies whether a battery electric vehicle or plug-in hybrid electric vehicle (collectively referred to as PEVs) can fulfill the mission requirements and provides observations related to placement of PEV charging infrastructure. This report provides the list of vehicles selected by MCBCL and Intertek for further monitoring and fulfills the Task 2 requirements.

  18. An automatic segmentation method for building facades from vehicle-borne LiDAR point cloud data based on fundamental geographical data

    Science.gov (United States)

    Li, Yongqiang; Mao, Jie; Cai, Lailiang; Zhang, Xitong; Li, Lixue

    2016-03-01

    In this paper, the author proposed a segmentation method based on the fundamental geographic data, the algorithm describes as following: Firstly, convert the coordinate system of fundamental geographic data to that of vehicle- borne LiDAR point cloud though some data preprocessing work, and realize the coordinate system between them; Secondly, simplify the feature of fundamental geographic data, extract effective contour information of the buildings, then set a suitable buffer threshold value for building contour, and segment out point cloud data of building facades automatically; Thirdly, take a reasonable quality assessment mechanism, check and evaluate of the segmentation results, control the quality of segmentation result. Experiment shows that the proposed method is simple and effective. The method also has reference value for the automatic segmentation for surface features of other types of point cloud.

  19. Design of Automatic Guide Vehicle Based on AT89S52%基于AT89S52的自动导引车设计

    Institute of Scientific and Technical Information of China (English)

    何裕源; 何晓晖

    2013-01-01

    介绍一种自动导引车(Automatic Guided Vehicle)的设计方法,小车采用红外传感器为导引装置,直流电机为驱动装置,以AT89S52为主控核心,指导自动导引车自动识别正确轨迹并实现运行.该系统电气原理简单,可靠性能高,为自动导引车在工业中应用开发提供参考.

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

    Science.gov (United States)

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

    2015-03-01

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

  1. 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,...

  2. 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...

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

    Directory of Open Access Journals (Sweden)

    A. V. Timofeev

    2014-05-01

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

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

    DEFF Research Database (Denmark)

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

    2004-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2008-07-01

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

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

    Science.gov (United States)

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

    2012-01-01

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

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

    Science.gov (United States)

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

    2014-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Qing Xu

    2013-11-01

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

  9. 3D handheld laser scanner based approach for automatic identification and localization of EEG sensors.

    Science.gov (United States)

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

    2010-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Yiyao Ye-Lin

    2014-01-01

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

  11. 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...

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

    NARCIS (Netherlands)

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

    2008-01-01

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

  13. 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.

  14. 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.

  15. Minimum Hamiltonian Ascent Trajectory Evaluation (MASTRE) program (update to automatic flight trajectory design, performance prediction, and vehicle sizing for support of Shuttle and Shuttle derived vehicles) engineering manual

    Science.gov (United States)

    Lyons, J. T.

    1993-01-01

    The Minimum Hamiltonian Ascent Trajectory Evaluation (MASTRE) program and its predecessors, the ROBOT and the RAGMOP programs, have had a long history of supporting MSFC in the simulation of space boosters for the purpose of performance evaluation. The ROBOT program was used in the simulation of the Saturn 1B and Saturn 5 vehicles in the 1960's and provided the first utilization of the minimum Hamiltonian (or min-H) methodology and the steepest ascent technique to solve the optimum trajectory problem. The advent of the Space Shuttle in the 1970's and its complex airplane design required a redesign of the trajectory simulation code since aerodynamic flight and controllability were required for proper simulation. The RAGMOP program was the first attempt to incorporate the complex equations of the Space Shuttle into an optimization tool by using an optimization method based on steepest ascent techniques (but without the min-H methodology). Development of the complex partial derivatives associated with the Space Shuttle configuration and using techniques from the RAGMOP program, the ROBOT program was redesigned to incorporate these additional complexities. This redesign created the MASTRE program, which was referred to as the Minimum Hamiltonian Ascent Shuttle TRajectory Evaluation program at that time. Unique to this program were first-stage (or booster) nonlinear aerodynamics, upper-stage linear aerodynamics, engine control via moment balance, liquid and solid thrust forces, variable liquid throttling to maintain constant acceleration limits, and a total upgrade of the equations used in the forward and backward integration segments of the program. This modification of the MASTRE code has been used to simulate the new space vehicles associated with the National Launch Systems (NLS). Although not as complicated as the Space Shuttle, the simulation and analysis of the NLS vehicles required additional modifications to the MASTRE program in the areas of providing

  16. 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.

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

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  18. Research of brain-computer interface automatic vehicle system based on SSVEP%基于SSVEP的脑-机接口自动车系统研究

    Institute of Scientific and Technical Information of China (English)

    赵丽; 孙永; 马彦臻; 何洋

    2011-01-01

    This paper mainly carried out proposes the research of SSVEP brain-computer interface automatic vehicle control systems,which describes the principles of the visual evoked potentials that used in brain-computer interface,and the single-chip is used to designs visual stimulation. Base on the LABVIEW platform, it also uses Hilbert Huang Transform to extract evoked potential vector continuously,which produces brain-computer interface control signals that can be applied to automatic vehicle control system to control the car around before and after exercise. According to a lot of experiments to verify,this sistem can send out the control commands that the correct rate is higher than 83% and can also send a command less than 5 seconds compared with the average time based on SSVEP,so it proves that the system is feasible and has a high application value.%阐述了视觉诱发电位用于脑-机接口的原理,系统采用单片机设计视觉刺激器,同时在LABVIEW平台上,利用希尔伯特黄变换实时提取诱发电位向量,产生脑机接口控制信号,并用于自动车控制系统,从而控制小车的前后左右运动.通过大量实验验证,设计的基于稳态视觉诱发电位的脑-机接口自动车控制系统,发送控制命令正确率高于83%,发送一个命令的平均时间低于5 s,证明该系统的方案是可行的,具有较高的应用价值.

  19. Development of a Two-Speed Automatic Transmission for Pure Electric Vehicle%纯电动车两挡自动变速器的研发

    Institute of Scientific and Technical Information of China (English)

    黄伟; 王耀南; 冯坤

    2011-01-01

    为了改善纯电动汽车驱动系统的性能,开发一种用于纯电动运动多功能汽车的两级自动变速器.应用速比选择原则、换挡控制策略,研究其对于整车性能的影响.仿真结果表明:设计的两挡自动变速器可降低对电机最大转矩和最高转速的需求,减少机械传动噪音,降低变速器输入转速,优化电机的工作转速区间,提高动力传动系统效率.台架试验表明:采用电机主动同步控制技术,在挡位切换过程中能减少动力中断时问,获得较好的换挡品质.%A two-speed automatic transmission used in electric sport utility vehicle was developed to improve fhe performance of the propulsion system of the vehicle.The motor active synchronization were researched using gear ratio choice principle and shift change control algorithm.Simulation results show that the two-speed automatic transmission reduces the maximum torque demand,the motor running speed and mechanical noise,and improves driveline efficiency.The bench tests show thaf the motor active synchronization control reduces the power interruption time,and helps the transmission achieve a high shifting quality.

  20. Modularity, adaptability and evolution in the AUTOPIA architecture for control of autonomous vehicles. Updating Mechatronics of Automatic Cars

    OpenAIRE

    Pérez Rastelli, Joshué; González, Carlos; Milanés, Vicente; Onieva, Enrique; Godoy, Jorge; Pedro, Teresa De

    2009-01-01

    International audience; Computer systems to carry out control algorithms on autonomous vehicles have been developed in recent years. However, the advances in peripheral devices allow connecting the actuator controllers to the control system by means of standard communication links (USB, CAN, Ethernet ... ).The goal is to permit the use of standard computers. In this paper, we present the evolution of AUTOPIA architecture and its modularity and adaptability to move the old system based on ISA ...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-07-01

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

  2. 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.

  3. Multi-objective Genetic Algorithm for System Identification and Controller Optimization of Automated Guided Vehicle

    Directory of Open Access Journals (Sweden)

    Xing Wu

    2011-07-01

    Full Text Available This paper presents a multi-objective genetic algorithm (MOGA with Pareto optimality and elitist tactics for the control system design of automated guided vehicle (AGV. The MOGA is used to identify AGV driving system model and optimize its servo control system sequentially. In system identification, the model identified by least square method is adopted as an evolution tutor who selects the individuals having balanced performances in all objectives as elitists. In controller optimization, the velocity regulating capability required by AGV path tracking is employed as decision-making preferences which select Pareto optimal solutions as elitists. According to different objectives and elitist tactics, several sub-populations are constructed and they evolve concurrently by using independent reproduction, neighborhood mutation and heuristic crossover. The lossless finite precision method and the multi-objective normalized increment distance are proposed to keep the population diversity with a low computational complexity. Experiment results show that the cascaded MOGA have the capability to make the system model consistent with AGV driving system both in amplitude and phase, and to make its servo control system satisfy the requirements on dynamic performance and steady-state accuracy in AGV path tracking.

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

    Institute of Scientific and Technical Information of China (English)

    YANG Zhiyong; XU Meng; HUANG Tian; NI Yanbing

    2007-01-01

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

  5. 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.

  6. 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.

  7. 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

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

    Science.gov (United States)

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

    2016-09-01

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

  9. Practical issues in automatic 3D reconstruction and navigation applications using man-portable or vehicle-mounted sensors

    Science.gov (United States)

    Harris, Chris; Stennett, Carl

    2012-09-01

    The navigation of an autonomous robot vehicle and person localisation in the absence of GPS both rely on using local sensors to build a model of the 3D environment. Accomplishing such capabilities is not straightforward - there are many choices to be made of sensor and processing algorithms. Roke Manor Research has broad experience in this field, gained from building and characterising real-time systems that operate in the real world. This includes developing localization for planetary and indoor rovers, model building of indoor and outdoor environments, and most recently, the building of texture-mapped 3D surface models.

  10. Assessing Memory Decay Rate: What Factors are the Best Predictors of Decrements in Training Proficiency in a Threat Vehicle Identification Task?

    Science.gov (United States)

    2014-06-01

    assessment for vehicle identification recommended that no more than six vehicles should be presented in a training set (Dyer & Salter , 2001). Six...Wagner, U., & Born, J. (2005). Sleep enhances explicit recollection in recognition memory. Learning & Memory, 12(1), 44–51. Dyer, J.L., & Salter

  11. 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

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

    Science.gov (United States)

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

    2015-01-01

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

  13. 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.

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

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Vsevolod Afanasyev

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

  16. 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.

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

    Science.gov (United States)

    Melis, Marcello; Miccoli, Matteo; Quarta, Donato

    2013-05-01

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

  18. 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.

  19. Optimal Line Pressure Control for an Automatic Transmission-Based Parallel Hybrid Electric Vehicle considering Mode Change and Gear Shift

    Directory of Open Access Journals (Sweden)

    Minseok Song

    2014-05-01

    Full Text Available An optimal line pressure control algorithm was proposed for the fuel economy improvement of an AT-based parallel hybrid electric vehicle (HEV. By performing lever analysis at each gear step, the required line pressure was obtained considering the torque ratio of the friction elements. In addition, the required line pressure of the mode clutch was calculated. Based on these results, the optimal line pressure map at each gear step of the EV and HEV modes was presented. Using the line pressure map, an optimal line pressure was performed for the AT input torque and mode. To investigate the proposed line pressure control algorithm, a HEV performance simulator was developed based on the powertrain model of the target HEV, and fuel economy improvement was evaluated. Simulation results showed that as the gear step became higher, the optimal line pressure control could reduce the hydraulic power loss, which gave a 2.2% fuel economy improvement compared to the existing line pressure control for the FTP-72 mode.

  20. High-Resolution, Semi-Automatic Fault Mapping Using Umanned Aerial Vehicles and Computer Vision: Mapping from an Armchair

    Science.gov (United States)

    Micklethwaite, S.; Vasuki, Y.; Turner, D.; Kovesi, P.; Holden, E.; Lucieer, A.

    2012-12-01

    Our ability to characterise fractures depends upon the accuracy and precision of field techniques, as well as the quantity of data that can be collected. Unmanned Aerial Vehicles (UAVs; otherwise known as "drones") and photogrammetry, provide exciting new opportunities for the accurate mapping of fracture networks, over large surface areas. We use a highly stable, 8 rotor, UAV platform (Oktokopter) with a digital SLR camera and the Structure-from-Motion computer vision technique, to generate point clouds, wireframes, digital elevation models and orthorectified photo mosaics. Furthermore, new image analysis methods such as phase congruency are applied to the data to semiautomatically map fault networks. A case study is provided of intersecting fault networks and associated damage, from Piccaninny Point in Tasmania, Australia. Outcrops >1 km in length can be surveyed in a single 5-10 minute flight, with pixel resolution ~1 cm. Centimetre scale precision can be achieved when selected ground control points are measured using a total station. These techniques have the potential to provide rapid, ultra-high resolution mapping of fracture networks, from many different lithologies; enabling us to more accurately assess the "fit" of observed data relative to model predictions, over a wide range of boundary conditions.igh resolution DEM of faulted outcrop (Piccaninny Point, Tasmania) generated using the Oktokopter UAV (inset) and photogrammetric techniques.

  1. 77 FR 17105 - Identification of Interstate Motor Vehicles: City of Chicago, IL Registration Emblem Requirement...

    Science.gov (United States)

    2012-03-23

    ... through the International Fuel Tax Agreement; (3) Under a State law regarding motor vehicle license plates... section 31704; (2) Under the International Fuel Tax Agreement under section 31705 or under an applicable... vehicle inspection standards under section 31136. FMCSA interprets Sec. 14506(b)(3) to establish...

  2. Identification of pilot-vehicle dynamics from simulation and flight test

    Science.gov (United States)

    Hess, Ronald A.

    1990-01-01

    The paper discusses an identification problem in which a basic feedback control structure, or pilot control strategy, is hypothesized. Identification algorithms are employed to determine the particular form of pilot equalization in each feedback loop. It was found that both frequency- and time-domain identification techniques provide useful information.

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

    Science.gov (United States)

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

    2007-12-01

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

  4. Automatic speed control of highway traffic

    Science.gov (United States)

    Klingman, E. E.

    1973-01-01

    Vehicle control system monitors all vehicles in its range, and automatically slows down speeding vehicles by activating governor in vehicle. System determines only maximum speed; speeds below maximum are controlled by vehicle operator. Loss of transmitted signal or activation of emergency over-ride will open fuel line and return control to operator.

  5. 空客A320系列飞机APS3200型APU自动关车故障分析%Failure Analysis of APS3200 Type APU Automatic Vehicle Shutdown of the Airbus A320 Series

    Institute of Scientific and Technical Information of China (English)

    张绪勤

    2016-01-01

    In this paper, by analyzing the troubleshooting process of APS3200 Type APU Automatic Vehicle Shutdown of the Airbus A320 Series occurring repeatedly, it proposed troubleshooting and maintenance tips to the APU shutdown automatic vehicle shutdown appearing in the operation of the aircraft power supply switching.%本文通过对空客A320系列飞机APS3200型APU反复出现自动关车故障的排故过程进行分析,对飞机运行中供电切换时出现APU自动关车现象提出排故建议和维护提示。

  6. Drag Identification & Reduction Technology (DIRECT) for Elastically Shaped Air Vehicles Project

    Data.gov (United States)

    National Aeronautics and Space Administration — NASA and Boeing Phantom Works have been working on the Elastically Shaped Future Vehicle Concept (ESFVC) and have shown that aircraft with elastically shaped wings...

  7. Driver-Vehicle Interaction : Identification, Characterization and Modelling of Path Tracking Skill

    OpenAIRE

    Erséus, Andreas

    2010-01-01

    Since the dawn of the automobile, driver behaviour has been an issue. Driving can result in accidents that may harm not only the driver but also passengers and the surroundings. This calls for measures that restrict the usage of vehicles and to assist the individual driver to conduct the driving in a safe, yet practically efficient manner. The vehicles should therefore be both safe and intuitive, and preferably answer to thedifferent needs of all kinds of drivers. Driving skill can be defined...

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

    Institute of Scientific and Technical Information of China (English)

    郑佳锋; 张杰; 朱克云; 刘艳霞; 张涛

    2013-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    李海华

    2012-01-01

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

  10. The Design of Food Storage Guided Vehicle System Based on RFID Technology

    Directory of Open Access Journals (Sweden)

    Rui Xue

    2015-08-01

    Full Text Available According to the characteristics of the food transport system, RFID technology is integrated in the AGV automatic guided vehicle system in the food warehousing. The node RFID oriented method is chosen and the RFID note positioning function is used to realize more types and over horizon identification loading, handling and automatic storage function that improves the system flexibility through the design of tag oriented system.

  11. Identification of Energy Distribution for Crash Deformational Processes of Road Vehicles

    Directory of Open Access Journals (Sweden)

    István Harmati

    2007-08-01

    Full Text Available Car body deformation modelling plays a very important role in crash accidentanalyses, as well as in safe car body design. The determination of the energy absorbed bythe deformation and the corresponding Energy Equivalent Speed can be of key importance;however their precise determination is a very difficult task. Although, using the results ofcrash tests, intelligent and soft methods offer an automatic way to model the crash processitself, as well as to determine the absorbed energy, the before-crash speed of the car, etc. Inthis paper a model is introduced which is able to describe the changing of the energydistribution during the whole deformational process and to analyze the strength of thedifferent parts without any human intervention thus significantly can contribute to theimprovement of the modelling, (automatic design, and safety of car bodies.

  12. Identification of safety-critical events using kinematic vehicle data and the discrete fourier transform.

    Science.gov (United States)

    Kluger, Robert; Smith, Brian L; Park, Hyungjun; Dailey, Daniel J

    2016-11-01

    Recent technological advances have made it both feasible and practical to identify unsafe driving behaviors using second-by-second trajectory data. Presented in this paper is a unique approach to detecting safety-critical events using vehicles' longitudinal accelerations. A Discrete Fourier Transform is used in combination with K-means clustering to flag patterns in the vehicles' accelerations in time-series that are likely to be crashes or near-crashes. The algorithm was able to detect roughly 78% of crasjavascript:void(0)hes and near-crashes (71 out of 91 validated events in the Naturalistic Driving Study data used), while generating about 1 false positive every 2.7h. In addition to presenting the promising results, an implementation strategy is discussed and further research topics that can improve this method are suggested in the paper.

  13. Motion Predicting of Autonomous Tracked Vehicles with Online Slip Model Identification

    Directory of Open Access Journals (Sweden)

    Hao Lu

    2016-01-01

    Full Text Available Precise understanding of the mobility is essential for high performance autonomous tracked vehicles in challenging circumstances, though the complex track/terrain interaction is difficult to model. A slip model based on the instantaneous centers of rotation (ICRs of treads is presented and identified to predict the motion of the vehicle in a short term. Unlike many research studies estimating current ICRs locations using velocity measurements for feedback controllers, we focus on predicting the forward trajectories by estimating ICRs locations using position measurements. ICRs locations are parameterized over both tracks rolling speeds and the kinematic parameters are estimated in real time using an extended Kalman filter (EKF without requiring prior knowledge of terrain parameters. Simulation results verify that the proposed algorithm performs better than the traditional method when the pose measuring frequencies are low. Experiments are conducted on a tracked vehicle with a weight of 13.6 tons. Results demonstrate that the predicted position and heading errors are reduced by about 75% and the reduction of pose errors is over 24% in the absence of the real-time kinematic global positioning system (RTK GPS.

  14. Methods for measurements of energy and emissions related to motor vehicles: Identification of needs for improvements

    Energy Technology Data Exchange (ETDEWEB)

    Karl-Erik Egebaeck, K.E. [Luleaa Univ. of Technology, Luleaa (Sweden). Dept. of Environmental Technology; Karlsson, Hua L. [MTC AB, Haninge (Sweden); Westerholm, R. [Stockholm Univ. (Sweden). Dept. of Analytical Chemistry

    2002-01-01

    The official methods in use today for emission testing of vehicles and engines were primarily developed for the characterisation of exhaust emissions from motor vehicles fuelled with petrol or diesel oil. The setting of new lower emission standards will make it difficult to obtain sufficient accuracy, using the present systems, for the quantification of exhaust emissions in the future. Development of new emission control technology and improved fuels has made it possible to meet these more stringent standards. Consequently new emission standards will lead to a need for new and improved methodologies and new instrumentation for the characterisation of the emissions from vehicles/engines/fuels. The present report comprises a discussion and comments on questions related to improved methods for emission measurements. The report is based on a study of the literature, site visits to laboratories and research institutes etc in the US and a meeting with representatives of the EU Commission, carried out during the spring of 2001. The conclusions and recommendations in the pre-study report are summarised in sub titles: General, regulated emissions, unregulated emissions, greenhouse gases and fuel consumption. Since the questions and problems discussed have an international connection they should be discussed in an international forum. However, before such discussions can be organised the problems related to measurement of emissions and fuel consumption must be more extensively studied than in this pre-study.

  15. System identification of a small low-cost unmanned aerial vehicle using flight data from low-cost sensors

    Science.gov (United States)

    Hoffer, Nathan Von

    Remote sensing has traditionally been done with satellites and manned aircraft. While. these methods can yield useful scientificc data, satellites and manned aircraft have limitations in data frequency, process time, and real time re-tasking. Small low-cost unmanned aerial vehicles (UAVs) provide greater possibilities for personal scientic research than traditional remote sensing platforms. Precision aerial data requires an accurate vehicle dynamics model for controller development, robust flight characteristics, and fault tolerance. One method of developing a model is system identification (system ID). In this thesis system ID of a small low-cost fixed-wing T-tail UAV is conducted. The linerized longitudinal equations of motion are derived from first principles. Foundations of Recursive Least Squares (RLS) are presented along with RLS with an Error Filtering Online Learning scheme (EFOL). Sensors, data collection, data consistency checking, and data processing are described. Batch least squares (BLS) and BLS with EFOL are used to identify aerodynamic coecoefficients of the UAV. Results of these two methods with flight data are discussed.

  16. A novel methodology for non-linear system identification of battery cells used in non-road hybrid electric vehicles

    Science.gov (United States)

    Unger, Johannes; Hametner, Christoph; Jakubek, Stefan; Quasthoff, Marcus

    2014-12-01

    An accurate state of charge (SoC) estimation of a traction battery in hybrid electric non-road vehicles, which possess higher dynamics and power densities than on-road vehicles, requires a precise battery cell terminal voltage model. This paper presents a novel methodology for non-linear system identification of battery cells to obtain precise battery models. The methodology comprises the architecture of local model networks (LMN) and optimal model based design of experiments (DoE). Three main novelties are proposed: 1) Optimal model based DoE, which aims to high dynamically excite the battery cells at load ranges frequently used in operation. 2) The integration of corresponding inputs in the LMN to regard the non-linearities SoC, relaxation, hysteresis as well as temperature effects. 3) Enhancements to the local linear model tree (LOLIMOT) construction algorithm, to achieve a physical appropriate interpretation of the LMN. The framework is applicable for different battery cell chemistries and different temperatures, and is real time capable, which is shown on an industrial PC. The accuracy of the obtained non-linear battery model is demonstrated on cells with different chemistries and temperatures. The results show significant improvement due to optimal experiment design and integration of the battery non-linearities within the LMN structure.

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

    Institute of Scientific and Technical Information of China (English)

    王淼; 李孟研; 陈宝锋

    2011-01-01

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

  18. Identification of gas powered motor propulsion group for small unmanned aerial vehicles

    Science.gov (United States)

    Oldziej, Daniel; Walendziuk, Wojciech; Mirek, Karol

    2016-09-01

    The present work aims at the dynamics identification of gas powered motor propulsion applied in remotely piloted aircraft (RPA) of the small or medium class. In subsequent chapters, the criteria indicating the choice of an electric or a gas power system are described. Moreover, the classification and characteristics of gas powered motor propulsions are presented. The main body of the article contains a laboratory stand dedicated to test the fumes from the motor propulsions in order to measure their static and dynamic characteristics. A wireless solution of acquiring the measurement data from the laboratory stand reflecting real working conditions of the repulsion is suggested. In further parts, the dynamics identification is done, and the transfer function of the object is presented.

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

    Science.gov (United States)

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

    2015-03-01

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

  20. The Electric Vehicles Ecosystem Model: Construct, Analysis and Identification of Key Challenges

    Directory of Open Access Journals (Sweden)

    Zulkarnain

    2014-09-01

    Full Text Available This paper builds a conceptual model of electric vehicles’ (EV ecosystem and value chain build-up. Based on the literature, the research distinguishes the most critical challenges that are on the way of mobility systems’ electrification. Consumers still have some questions that call for answers before they are ready to adopt evs.With regard to technical aspects, some challenges are coming from vehicles, charging infrastructure, battery technology, and standardization. The use of battery in EVs will bring in additional environmental challenges, coming from the battery life cycle for used battery, the manufacturing, and from some materials used and treated in the manufacturing process. The policy aspects include mostly taxation strategies. For most part, established market conditions are still lacking and there are a number of unresolved challenges on both supply and demand side of the EV market.

  1. Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Malikopoulos, Andreas [ORNL

    2014-01-01

    Hybrid electric vehicles have shown great potential for enhancing fuel economy and reducing emissions. Deriving a power management control policy to distribute the power demanded by the driver optimally to the available subsystems (e.g., the internal combustion engine, motor, generator, and battery) has been a challenging control problem. One of the main aspects of the power management control algorithms is concerned with the self-sustainability of the electrical path, which must be guaranteed for the entire driving cycle. This paper considers the problem of identifying online the power required by the battery to maintain the state of charge within a range of the target value. An algorithm is presented that realizes how much power the engine needs to provide to the battery so that self-sustainability of the electrical path is maintained.

  2. Automatic vehicle detection using spaceborne optical remote sensing images in city area%城市街区星载光学遥感图像车辆目标自动检测方法

    Institute of Scientific and Technical Information of China (English)

    李昭慧; 张建奇

    2014-01-01

    It is difficult to detect vehicles in city area by using paceborne optical remote sensing images, because the background in city area is too complex. In this paper, an automatic vehicle detection method was proposed to address the issue by using background segmentation method. Firstly, the physical property of the vegetation was analyzed and used to suppress the vegetation background of a scene by using the multi- spectral information of the scene. Next, the reflectance characteristics of city area cover types were analyzed. Based on the reflectance characteristics of building roofs and roads, the building background in the scene was removed by employing the binary morphological method on the panchromatic band image. Finally, the famous RX algorithm was introduced to detect the vehicles on the vegetation and building background suppressed image. The proposed method is applied to the actual Quickbird image for vehicle target detection. The results show that the proposed method has strong robustness, high efficiency, and automatic characteristics, and can be used for vehicle detection in city area.%针对星载光学遥感图像城市街区复杂背景问题,提出一种车辆目标自动检测方法。首先,利用场景中植被背景的物理属性,通过多光谱波段抑制场景中的植被背景,然后,在分析城市街区地物形态反射率特性的基础上,利用全色波段并结合二值形态学方法抑制场景中的建筑物,最后,引入著名的RX算法对抑制后的图像进行车辆目标检测。将文中提出的方法应用于实际Quickbird影像的车辆目标检测,结果表明所提出的方法具有鲁棒性强,执行效率高,不需要人工辅助等方面的特点,可用于城市街区车辆目标的自动检测。

  3. Thruster fault identification method for autonomous underwater vehicle using peak region energy and least square grey relational grade

    Directory of Open Access Journals (Sweden)

    Mingjun Zhang

    2015-12-01

    Full Text Available A novel thruster fault identification method for autonomous underwater vehicle is presented in this article. It uses the proposed peak region energy method to extract fault feature and uses the proposed least square grey relational grade method to estimate fault degree. The peak region energy method is developed from fusion feature modulus maximum method. It applies the fusion feature modulus maximum method to get fusion feature and then regards the maximum of peak region energy in the convolution operation results of fusion feature as fault feature. The least square grey relational grade method is developed from grey relational analysis algorithm. It determines the fault degree interval by the grey relational analysis algorithm and then estimates fault degree in the interval by least square algorithm. Pool experiments of the experimental prototype are conducted to verify the effectiveness of the proposed methods. The experimental results show that the fault feature extracted by the peak region energy method is monotonic to fault degree while the one extracted by the fusion feature modulus maximum method is not. The least square grey relational grade method can further get an estimation result between adjacent standard fault degrees while the estimation result of the grey relational analysis algorithm is just one of the standard fault degrees.

  4. 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...

  5. 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.

  6. 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.

  7. Automatic Water Sensor Window Opening System

    KAUST Repository

    Percher, Michael

    2013-12-05

    A system can automatically open at least one window of a vehicle when the vehicle is being submerged in water. The system can include a water collector and a water sensor, and when the water sensor detects water in the water collector, at least one window of the vehicle opens.

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

    Science.gov (United States)

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

    2016-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Alejandro Said

    2016-08-01

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

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

    Institute of Scientific and Technical Information of China (English)

    WANG Yu-xin; LI Yu-tong

    2014-01-01

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

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

    Science.gov (United States)

    Giménez, Estela; Gay, Marina; Vilaseca, Marta

    2017-01-30

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

  12. 考虑桥路面粗糙度的移动体参数识别%Parameter identification of moving vehicles considering road roughness of bridge

    Institute of Scientific and Technical Information of China (English)

    张青霞; 段忠东; Lukasz Jankowski

    2012-01-01

    基于虚拟变形(VDM)方法中移动动态影响矩阵的概念,利用双自由度质量-弹簧阻尼模型模拟移动车辆,系统推导和阐述了车-桥耦合系统中粗糙路面上移动体参数的识别方法.以移动体参数的修正因子为优化变量,通过最小化桥体结构实测响应和计算响应的平方距离进行识别,识别精度高,对噪声鲁棒性强,且较少的传感器就能识别多个移动体参数.利用移动动态影响矩阵,每步优化中无需时时重构系统参数矩阵,计算效率高.利用一个三跨连续梁模型验证该方法的有效性,在5%的噪声影响下,利用一个传感器可以准确地识别多个移动体参数和移动荷载.此外,通过比较平坦路面与粗糙路面上的移动体参数的识别方法和结果,结合车体参数的灵敏度分析,说明了路面粗糙度、移动体参数对结构响应的影响及不同情况下参数识别中优化变量的选取原则.%Using the concept of dynamic moving influence matrix in VDM, a moving vehicle identification method in vehicle-bridge coupled system is derived and elaborated. And for which the road roughness is considered. The vehicle is simulated by a two degree of freedoms mass-spring vehicle model. In this method , vehicle parameters are taken as the variables and then optimized by minimizing the square distance between the measured responses of the bridge and its estimated responses with high identification accuracy. The method is robust to noise and moreover requires fewer sensors than that needed in moving loads identification methods. During the optimization, the repetitive construction of the variant system matrix can be avoided by the utilization of the dynamic moving influence matrix and thus the optimization efficiency is high. A numerical example of a three-span beam with rough surface is used to verify the proposed method, in which the multiple vehicle parameters and moving forces can be identified successfully by one

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

    Institute of Scientific and Technical Information of China (English)

    贲晛烨; 王科俊; 马慧

    2012-01-01

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

  14. 基于脉冲神经网络模型的车辆车型识别%Identification of Vehicle Types Based on Spiking Neural Network Model

    Institute of Scientific and Technical Information of China (English)

    陈浩; 吴庆祥; 王颖; 林梅燕; 蔡荣太

    2011-01-01

    准确提取各种运动目标的特征并将它们加以分类识别,是近年来图像处理和人工智能研究中的热点之一.针对识别运动车辆车型需求,提出了在利用脉冲神经网络模型对运动车辆进行边缘提取的基础上提取运动目标的不变线矩特征,再用这些特征训练神经网络对车型进行识别的方法.试验结果表明该模型能准确的提取运动目标的特征,从而提高分类的效果.在今后的智能监控系统中有广阔的应用前景.%Accurate feature extraction and recognition of moving objects are the hot spots in image processing and artificial intelligence research domains.In order to identify the types of moving vehicles, this paper proposed an identification approach in which edges of the moving vehicle are extracted by a spiking neural network model.The line moment of moving vehicle is used as the features to train a neural network, and then the neural network is used to identify type of the moving vehicle.The results of the simulation show that the approach can accurately extract the features of the moving vehicles so that the accuracy of identification has been improved.This approach shows a promising prospect in the application of intelligent surveillance systems in the future.

  15. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Anz, R.

    2002-07-01

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

  17. 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.

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

    Science.gov (United States)

    Ghoreyshi, Atiyeh; Galiana, Henrietta

    2011-10-01

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

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

    Institute of Scientific and Technical Information of China (English)

    张卉

    2015-01-01

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

  20. An outbreak of salmonella chester infection in Canada: rare serotype, uncommon exposure, and unusual population demographic facilitate rapid identification of food vehicle.

    Science.gov (United States)

    Taylor, John; Galanis, Eleni; Wilcott, Lynn; Hoang, Linda; Stone, Jason; Ekkert, Judi; Quibell, Doug; Huddleston, Mark; McCormick, Rachel; Whitfield, Yvonne; Adhikari, Bijay; Grant, Christopher C R; Sharma, Davendra

    2012-04-01

    Salmonella Chester infection has rarely been reported in the literature. In 2010, 33 case patients were reported in 2 months in four Canadian provinces. We conducted an outbreak investigation in collaboration with public health agencies, food safety specialists, regulatory agencies, grocery store chains, and the product distributor. We used case patient interviews, customer loyalty cards, and microbiological testing of clinical and food samples to identify nationally distributed head cheese as the food vehicle responsible for the outbreak. The rare serotype, a limited affected demographic group, and an uncommon exposure led to the rapid identification of the source. Control measures were implemented within 9 days of notification of the outbreak.

  1. Design of RFID electronic vehicle identification with resin slot antenna%RFID电子车牌用树脂缝隙天线的设计

    Institute of Scientific and Technical Information of China (English)

    赵文婧; 厉丹; 黄为勇; 吴双江

    2016-01-01

    为了对车辆进行射频识别(RFID),设计一种用于有源电子车牌的弯折树脂缝隙天线,并根据车牌安装的实际情况设计了馈电结构。该天线能够将有源RFID模块与金属车牌有效一体化,而且树脂缝隙不易变形,能够加强天线的机械强度。利用HFSS软件对结构参数进行仿真优化,并分析了结构参数的变化对天线工作频带特性的影响,得到设计该天线的一般规律。仿真结果表明,该树脂缝隙天线工作频段满足RFID的2.45 GHz频段范围,具有较高的增益、较远的阅读距离和车辆识别所需的多波束辐射方向图。%The buckling resin slot antenna used to active electronic vehicle identification was designed to conduct radio fre⁃quency identification(RFID)of vehicles,and its feed structure was designed according to the actual installing situation of the electronic vehicle identification. The antenna can effectively integrate the active RFID module and metal license plate. The resin slot is difficult of deformation,but can strengthen the mechanical strength of the antenna. The structure parameters are simulated and optimized by HFSS simulation software. The influences of structure parameters changing on impedance bandwidth characteris⁃tics of the antenna are analyzed to obtain the general design rule of the antenna. The simulation results show that the impedance bandwidth of the resin slot antenna can meet the RFID band range of 2.45 GHz. The antenna has high gain,far read range,and multi⁃beam radiation pattern required by vehicle identification.

  2. 纯电动汽车自动同步换挡系统设计%Automatic Synchronization Shift of Pure Electric Vehicle System Design and Research

    Institute of Scientific and Technical Information of China (English)

    张进; 沈安文

    2011-01-01

    The transmission of the pure electric vehicle has important sense, can improve the electric starting performance and accelerating ability, climbing performance, high-speed performance and improve the maximum mileage of electric vehicle. Through the comparison and analysis of several existing transmission advantages and disadvantages, learn these types of transmission systems based on self-5development and design of a synchronous system (AST) .the article describes in detail the internal structure of AST systems, structural design and work principle, AST system experiment platform and gear shift strategy and process to achieve, through experimental results obtained a good description of AST system, excellent performance, with high practical value.%变速器对纯电动汽车具有重要意义,可以改善电动汽车的起步性能、加速性能、爬坡性能、高速性能以及提高电动汽车最高续航里程.本文对比分析现有几种变速器的优缺点,借鉴这几种变速器系统的基础上,自行开发设计自动同步换挡变速器系统(AST),文章详细介绍AST系统的内部结构,结构设计与工作原理,AST系统的实验平台以及AST换挡策略和换挡过程实现,通过实验得到的实验结果很好的说明AST系统优异性能,具有很高的实用价值.

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

    Institute of Scientific and Technical Information of China (English)

    郭浩; 张晰; 安居白; 李冠宇

    2013-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    张娟

    2012-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2009-01-01

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

  7. 智能车辆动力学模型辨识与自主控制%Identification of Dynamics Model and Self-control for Intelligent Vehicle

    Institute of Scientific and Technical Information of China (English)

    王萌; 史忠科

    2014-01-01

    针对试凑法优化控制参数困难、控制精度不高、控制律环境适应性差的问题,对智能车辆的动力学模型和自主控制进行了研究。在地面车辆实验中,通过给小车施加伪随机序列舵控信号,使得小车的行驶状态被充分激励;在获得充分激励的小车速度、位置、姿态、横摆角速率状态后,利用系统辨识方法建立了智能小车动力学模型;在动力学模型的基础上,设计了小车自主驾驶控制律。跑车试验表明所提模型的预测结果与测量结果具有较好的一致性;控制仿真结果表明,设计的控制律能够保证小车完成预定轨迹自主驾驶。%As to the problems of trial-and-error method like the difficulty of control parameters optimization ,low control precision and poor adaptability of control law ,this paper researches the dynamics model and self-control for Intelligent Vehicle .In the vehicle experiments ,the running state of the vehicle is sufficiently excited by applying pseudo-random sequences signals to the car steering control .After obtaining this vehicle′s speed ,position ,attitude and yaw rate ,dynamics model of the Intelligent Vehicle is established by use of system identification .Based on the dynamics model ,designing autonomous driving control law of Intelligent Vehicle .The ground experiments suggest good consistency between predicted results of proposed model and actual measured results .The control simulations show that designed control law ensure the completion of vehicle autonomous driving under given track .

  8. A Study on Traction Control for Automatic Transmission Vehicle on Low-adhesion Road%自动变速车辆低附着路面牵引力控制研究

    Institute of Scientific and Technical Information of China (English)

    史俊武; 鲁统利; 李小伟; 张建武

    2011-01-01

    A new traction control system for automatic transmission vehicle is proposed based on concerted control of throttle opening and transmission gear position. In view of the non-linearity and uncertainties of slip ratio control system, the feedback linearization and sliding mode control are applied to the system by means of differential geometry theory. Furthermore, by using dynamic programming, the throttle opening of engine and the gear position of transmission, at which the required driving torque can be produced, are worked out. The simulation results indicate that the traction control system proposed is characterized by its simple structure and good performance.%提出了一种基于发动机节气门开度与变速器挡位协调控制的自动变速车辆牵引力控制系统.针对滑移率控制系统的非线性与参数不确定性,根据微分几何理论对其进行了反馈线性化并施加滑模控制.同时利用动态规划方法求得能产生所需驱动转矩的节气门开度与变速器挡位.仿真结果表明,此种牵引力控制系统具有设计简单和控制效果良好等特点.

  9. Design on Automatic Heave Compensation Hydraulic System of Remotely Operated Vehicle Based on Neuron PID Control%基于神经元PID的水下机器人自动升沉补偿液压系统设计

    Institute of Scientific and Technical Information of China (English)

    何新英; 吴家鸣

    2015-01-01

    针对母船的升沉运动会影响到带缆遥控水下机器人的安全作业和收放功能,提出了利用液压绞车进行水下机器人自动升沉补偿的方案。设计了带缆遥控水下机器人升沉补偿液压系统,控制系统采用了神经元自适应PID控制算法。并在Matlab中进行了仿真,仿真结果表明,该系统能够较好的实现水下机器人的升沉补偿运动。%The supporting ship heave motion affects the remotely operated vehicle safety operation and storage function,using hydraulic winch for automatic heave compensation of ROV was presented in this paper,The heave compensation hydraulic system of ROV has been designed, which the neuron adaptive PID control algorithm has been adopted. And has been simulate in mat lab,the simulation result show that the system can realize the ROV heave compensation movement.

  10. Tracking of Vehicle Movement on a Parking Lot Based on Video Detection

    Directory of Open Access Journals (Sweden)

    Ján HALGAŠ

    2014-06-01

    Full Text Available This article deals with topic of transport vehicles identification for dynamic and static transport based on video detection. It explains some of the technologies and approaches necessary for processing of specific image information (transport situation. The paper also describes a design of algorithm for vehicle detection on parking lot and consecutive record of trajectory into virtual environment. It shows a new approach to moving object detection (vehicles, people, and handlers on an enclosed area with emphasis on secure parking. The created application enables automatic identification of trajectory of specific objects moving within the parking area. The application was created in program language C++ with using an open source library OpenCV.

  11. On-line identification of vehicle fuel consumption for energy and emission management: an LTP System Analysis

    NARCIS (Netherlands)

    Kessels, J.T.B.A.; Sijs, J.; Hermans, R.M.; Damen, A.A.H.; Bosch, P.P.J. van den; Papp, Z.; Lazar, M.

    2008-01-01

    Abstract—An Energy Management (EM) system traditionally relies on (quasi) static maps offering efficiency parameters of the vehicle powertrain. During a vehicle’s life span, these maps lose validity, so optimal performance for EM is not assured. This paper presents a proof-of-concept for a novel mea

  12. 面向应急响应的无人机图像快速自动拼接%Fast Automatic Stitching for Images of Unmanned Aerial Vehicle in Emergency Response

    Institute of Scientific and Technical Information of China (English)

    吴俣; 余涛; 谢东海

    2013-01-01

    With the demand of emergency response, in order to obtain full cover image of remote sensing area fast, automatically and stably, this paper proposes a suitable stitching method of image sequences from unmanned aerial vehicle (UAV). A position and orientation system with low accuracy and a non-metric camera without calibration mounted on UAV can photograph the interested area to attain the image sequences and fast automatic registration. With the global ground points and the corresponding projection points, the whole optimum error equations are calculated using Levenberg-Marquardt algorithm for nonlinear iteration of the Homography matrices and unrestrained projective centers. Then, the parallel geometric seeking algorithm of stitching line is applied; image interpolation and image fusion are processed for whole automatic image outputting. Through the disaster emergency response experiment based on UAV remote sensing, the 0. 05 m resolution full cover image with less than 3 pixel of positioning accuracy are obtained from 450 images in an hour. The fast automatic algorithm proposed in this paper is appropriate for image sequences from UAV, which can provide effective technology support for emergency response.%根据应急响应的需求,为了快速、自动且稳定地获取遥感区域的全覆盖图像,提出一种直接适用于无人机序列图像的拼接方法.利用无人机平台上的低精度飞行控制系统与无标定的非量测相机获取序列图像,并进行快速自动配准;根据全局地面点在多视图像上的投影点集,基于单应矩阵和自由投影中心建立整体优化误差方程,并利用Levenberg-Marquardt非线性迭代求解;再根据并行几何定位拼接线的快速处理方法进行图像插值和融合,实现全流程自动化的图像输出.通过灾害应急响应的无人机遥感实验结果表明,在1h内处理完成450幅序列图像,获得定位精度小于3个像素的0.05m分辨率图像;文中方法

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

    Institute of Scientific and Technical Information of China (English)

    李欣苗; 张朋柱; 李靖

    2012-01-01

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

  14. An Offline Technique for Localization of License Plates for Indian Commercial Vehicles

    CERN Document Server

    Saha, Satadal; Nasipuri, Mita; Basu, Dipak Kumar

    2010-01-01

    Automatic License Plate Recognition (ALPR) is a challenging area of research due to its importance to variety of commercial applications. The overall problem may be subdivided into two key modules, firstly, localization of license plates from vehicle images, and secondly, optical character recognition of extracted license plates. In the current work, we have concentrated on the first part of the problem, i.e., localization of license plate regions from Indian commercial vehicles as a significant step towards development of a complete ALPR system for Indian vehicles. The technique is based on color based segmentation of vehicle images and identification of potential license plate regions. True license plates are finally localized based on four spatial and horizontal contrast features. The technique successfully localizes the actual license plates in 73.4% images.

  15. A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network

    Directory of Open Access Journals (Sweden)

    Xiaowei Zhang

    2012-09-01

    Full Text Available Driving patterns exert an important influence on the fuel economy of vehicles, especially hybrid electric vehicles. This paper aims to build a method to identify driving patterns with enough accuracy and less sampling time compared than other driving pattern recognition algorithms. Firstly a driving pattern identifier based on a Learning Vector Quantization neural network is established to analyze six selected representative standard driving cycles. Micro-trip extraction and Principal Component Analysis methods are applied to ensure the magnitude and diversity of the training samples. Then via Matlab/Simulink, sample training simulation is conducted to determine the minimum neuron number of the Learning Vector Quantization neural network and, as a result, to help simplify the identifier model structure and reduce the data convergence time. Simulation results have proved the feasibility of this method, which decreases the sampling window length from about 250–300 s to 120 s with an acceptable accuracy. The driving pattern identifier is further used in an optimized co-simulation together with a parallel hybrid vehicle model and improves the fuel economy by about 8%.

  16. Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle Based on an Improved Stochastic System Identification

    Directory of Open Access Journals (Sweden)

    Zhi Chen

    2015-01-01

    Full Text Available This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI method. It introduces the use of an average correlation signal as the input data to conventional SSI methods in order to reduce the noisy and nonstationary contents in the vibration signals from the frame, allowing accurate modal properties to be attained for realistically assessing the dynamic behaviour of the frame when the vehicle travels on both bumped and unpaved roads under different operating conditions. The modal results show that the modal properties obtained online are significantly different from the offline ones in that the identifiable modes are less because of the integration of different vehicle systems onto the frame. Moreover, the modal shapes between 7 Hz and 40 Hz clearly indicate the weak section of the structure where earlier fatigues and unsafe operations may occur due to the high relative changes in the modal shapes. In addition, the loaded operations show more modes which cause high deformation on the weak section. These results have verified the performance of the proposed SSI method and provide reliable references for optimizing the construction of the frame.

  17. Research on algorithm of automatically recognizing andpositioning road manhole covers based on vehicle-mounted sensors%基于车载传感器的路面井盖自动定位识别算法研究

    Institute of Scientific and Technical Information of China (English)

    刘建华

    2011-01-01

    The fast recognizing and positioning of municipal manhole covers is an important problem needed to be addressed for promoting digital management of modern cities. In view of the above problem, this paper proposed an algorithm, to automatically recognize and position road manhole covers under complex background in natural scene based on vehicle-mounted sensors. Taking the elliptical geometrical characteristic of manhole cover in perspective image captured by vehicle-mounted sensors as criterion, the algorithm firstly extracted edge information by employing vector edge detection method. Secondly constructed a contour list with boundary through contour tracing, then imitated and quickly generated all the possible elliptical targets in the contour list by means of least square fitting method. Subsequently eliminated the elliptical targets without relationship corresponding to road manhole covers according to their shape features, and last formed accurate results of recognition and position. Experiment shows that generally the algorithm is able to achieve real-time manhole cover targets recognition rapidly and effectively for images conforming to quality standard of data capturing.%市政井盖快速定位与识别是提升现代城市部件空间数字化管理水平需要解决的重要问题,针对该问题提出基于车载传感器的复杂背景下路面井盖目标自动定位识别算法.该算法以车载传感器获取的透视图像中井盖所具有的椭圆形几何特征为判据,先利用矢量边缘检测方法提取边缘信息,再运用轮廓跟踪法将边缘构造成轮廓链表,然后通过最小二乘法拟合与快速生成轮廓链表中可能存在的椭圆目标,并根据井盖的形状特征排除透视图中与路面井盖无对应关系的虚假椭圆目标,最终形成高精度定位识别结果.实证研究表明,对达到数据采集质量标准的图像,在一般情况下该算法能较好地实现其中市政井盖的实时定位识别.

  18. Intelligent lunar Vehicle Infrared Tracing Algorithm for Automatic Control Strategies and Research%智能探月车红外寻迹自动控制策略研究

    Institute of Scientific and Technical Information of China (English)

    钱昕; 殷庆纵; 王栋

    2012-01-01

    In Intelligent Lunar Vehicle's infrared tracking automatic control, using reflective infrared sensor array for the analog photoelectric sensor detects the path. Process the sensor data and relative error through the detection of nonlinear analog A / D sampling, real ?time process and non-linearized the control parameters in the PID variable scale incremental control algorithm; In addition, incremental PD formula can be derived by fuzzy control technology and the sensitivity and stability of the car tracing can be improved by adjusting the parameters in programming. It has been proved by that this method can shorten response time of the lunar exploration vehicle, reduce the random interference, optimize the tracking line, effectively eliminate oscillation and slow response of turn, at the meantime it can also improve mobility.%智能探月车红外循迹自动控制中主要采用反射式红外传感器的模拟光电传感器阵列进行路径检测;通过A/D采样方式检测非线性模拟量,对传感器采样数据及相对误差进行处理,引入变尺度增量式PID控制算法,对控制参数采用实时非线性整定,实现智能闭环控制;另外,应用模糊控制技术推导增量式PD计算公式,通过编程设定可调节参数以改善小车寻迹的灵敏度和稳定性;实践证明该方法可以缩短探月车的控制响应时间,降低随机干扰,优化循迹路线,有效地克服其在行驶中易产生振荡、转弯时反应迟钝、机动性差的缺点.

  19. Identification of dynamic parameters in low-mobility mechanical systems: application to short long arm vehicle suspension

    Science.gov (United States)

    Valero, Francisco; Iriarte, Xabier; Mata, Vicente; Ros, Javier

    2013-08-01

    The identification of dynamic parameters in low-mobility mechanical systems is addressed and applied to short long arm (SLA) front car suspension. The main goal of the identification technique is to obtain, from experimental measurements, the values of those dynamic parameters (masses, location of the centre of masses, terms of the inertial matrix of the links, constant friction terms and elastic and viscous damping constant terms) that affect the dynamic behaviour of the system. Moreover, additional but important information that could be obtained from the procedure is related to the weight of those terms inside the dynamics of the system, so that simplified dynamic models based on relevant and well-identified parameters can be established. First, a systematic procedure will be presented for obtaining the equations of motion in a linear form with regard to the dynamic parameters to be identified. The main drawbacks related to the identification of parameters in low-mobility mechanisms will be pointed out, mainly the difficulty of determining a natural cutoff point into the singular values of the observation matrix which allows us to determine the true dimension of the set of base parameters and of obtaining an observation matrix well conditioned from the numerical point of view that allows an identification in the presence of measurement error. The procedure proposed for overcoming these problems will be based on the development of symbolic relationships among the physical parameters in order to determine the true rank of the observation matrix and on the consideration of a reduced subset of the base parameters set. These relevant parameters will be selected according to their influence on the dynamic behaviour of the mechanical system. A virtual benchmark will be used for testing purposes. The dynamic models based on relevant parameters show a better adjustment than the complete ones, mainly when the level of noise in the measurements used in the identification

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

    Institute of Scientific and Technical Information of China (English)

    张震; 高雄; 陈铁英; 王海超

    2016-01-01

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

  1. A survey on the automatic object tracking technology using video signals

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jae Cheol; Jun, Hyeong Seop; Choi, Yu Rak; Kim, Jae Hee

    2003-01-01

    Recently, automatic identification and tracking of the object are actively studied according to the rapid development of signal processing and vision technology using improved hardware and software. The object tracking technology can be applied to various fields such as road watching of the vehicles, weather satellite, traffic observation, intelligent remote video-conferences and autonomous mobile robots. Object tracking system receives subsequent pictures from the camera and detects motions of the objects in these pictures. In this report, we investigate various object tracking techniques such as brightness change using histogram characteristic, differential image analysis, contour and feature extraction, and try to find proper methods that can be used to mobile robots actually.

  2. 电动汽车用异步电机参数辨识及优化%Parameters Identification and Optimization for Induction Motor Used in Electric Vehicles

    Institute of Scientific and Technical Information of China (English)

    李强

    2014-01-01

    The vector control system for induction motor used in electric vehicle was analyzed. A parameter identification and optimization algorithm for induction motor was proposed. Two different kinds of frequency sine signals generated by sinusoidal pulse width modulation were injected into the motor respectively, to identify the rotor resistance, mutual inductance and leakage inductance. On the d-axis, a sinusoidal current with DC bias was applied while the q-axis current was controlled to be zero, to optimize the rotor resistance. A step signal was injected into the induction motor to optimize the rotor time constant . The experiments of parameter identification and optimization using the algorithm were carried out on the 7. 5 kW induction motor. All conclusions indicate that the identification and optimization results are correct.%对电动汽车用异步电机矢量控制系统进行了分析,提出一种电动汽车用异步电机参数辨识及优化算法。在H桥式控制原理基础上采用正弦脉宽调制的方法分别向电机注入两种不同频率的正弦信号初步辨识转子电阻、互感及漏感。在同步静止αβ坐标系下,向电机d相注入带有幅值偏量的正弦信号优化电机转子电阻,注入阶跃信号优化转子时间常数。在一台7.5 kW异步电机上进行了试验,试验结果验证了参数辨识及优化方法的正确性。

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

    Institute of Scientific and Technical Information of China (English)

    马晓军; 李海军; 李凌波

    2012-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    孟洪宇; 谢晴宇; 常虹; 孟庆刚

    2015-01-01

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

  5. Automatic Reading

    Institute of Scientific and Technical Information of China (English)

    胡迪

    2007-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    韩中; 赵升吨; 张贵成; 阮卫平; 李建平; 沈红立

    2014-01-01

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

  7. 大型导弹车工作模态识别研究及应用%Research and application on the operational modal identification of large missile launch vehicle

    Institute of Scientific and Technical Information of China (English)

    赵威; 张永杰; 王喆; 韦冰峰

    2013-01-01

    To solve some problems of the operational modal identification of large missile launch vehicle, a model reflecting the main dynamic characteristics of large missile launch vehicle was made. Modal experiments were conducted and dynamic characteristics of the model were identified using the Least Square Complex Exponent (LSCE) method. Modal identification results were compared and analyzed to evaluate the LSCE method. It was applied to the operational modal identification of large missile launch vehicle. It is of significance to provide references for the dynamic characteristics analysis of large missile launch vehicle.%针对大型导弹车在运输状态下的动态特性识别问题,设计制作了能够反映大型导弹车主要动力学特征的简化模型,使用最小二乘复指数法(LSCE)对简化模型进行了动态特性识别,对识别结果进行了分析和评估,并将最小二乘复指数法应用到真实大型导弹车运输状态的模态识别中。可为大型导弹车运输状态下的动力学特性分析提供参考。

  8. STUDY ON SHIFT SCHEDULE OF AUTOMATIC TRANSMISSION TO IMPROVE ENGINEERING VEHICULAR EFFICIENCY

    Institute of Scientific and Technical Information of China (English)

    Gong Jie; Zhao Dingxuan; Huang Haidong; Gong Wenbin; Chen Ying

    2004-01-01

    New shift schedule for automatic transmission is proposed from the point of view of saving energy.The bench-test of automatic shift adopting this shift schedule is done on automatic transmission's test-bed.The experimental results show the shift schedule is correct.This shift schedule has enriched the theory of vehicle automatic maneuvering and will improve the efficiency of hydrodynamic drive system of the vehicle.

  9. 基于纹理特征与BP神经网络的运动车辆识别%Motor Vehicle Identification Based on Texture Feature and BP Neural Network

    Institute of Scientific and Technical Information of China (English)

    张秀林; 王浩全; 刘玉; 安然

    2013-01-01

    在Gabor小波滤波器组与图像卷积值作为特征向量达到很高识别率的基础上,提出了一种特征值加权的Gabor小波纹理特征的提取方法.首先Gabor小波函数与纹理图像做卷积,然后加权处理尺度各不相同和方向各不相同的的卷积值,最后将均值和方差看作它们的特征向量,该方法使特征维数有所降低,并利用BP神经网络进行训练和仿真,实现运动车辆纹理图像的自动分类,达到运动图像的识别.实验结果表明此算法有效降低了图像的识别错误,增强了稳健性,对质量差的图像能够有效识别.%On the basis of the Gabor wavelet filter group and the image convolution values as the feature vector can achieve a high recognition rate,a feature-weighted method of extracting texture is proposed.Firstly,Gabor wavelet function and texture image deconvolution.Then,the convolution values are extracted in different scales and different directions.After making the weighting process,taking its mean and variance as the characteristic vector,which greatly reduces the feature dimension.Finally,BP neural network is used to making training and simulation,in order to achieving the automatic classification of texture images of moving vehicles and the identification of moving images.The experimental results show that this algorithm can effectively reduce the recognition error of the image and enhance the robustness.To the poor quality images,it can make the effective recognition.

  10. Identification of Drivers in Traffic Accidents and Determination of Passenger Position in a Vehicle by Finger Marks

    Directory of Open Access Journals (Sweden)

    Matej Trapečar

    2012-01-01

    Full Text Available The following paper aims to illustrate certain investigative activities in the forensic analysis and examination of the scene of traffic accidents. When a traffic accident occurs, the scene must be secured as soon as possible to enable professional and proper forensic investigation. Failure to secure the accident scene might result in losing or contaminating the traces, which makes it more difficult to prove or explain trace evidence in further procedure or even makes such evidence inadmissible. The topic is discussed from the viewpoint of crime scene examination, since analysing and investigating traffic accidents requires a great deal of expertise and attention of the investigators. Complex traffic accidents include feigned accidents, hit-and-run accidents as well as accidents in which the driver and passengers, dead or alive, need to be identified. In identifying the passengers, standard criminal investigation methods as well as police forensic and forensic medicine methods are followed. Such methods include confirming the identities with identity documents, other documents and vehicle ownership, fingerprints, biological traces, fibre traces, contact traces, traces of physical injuries on the driver and passengers, etc. According to the results obtained in fingerprint detection on human skin surfaces, this method can also be applied in confirming physical contact between the driver and the passengers in the accident, e.g. in the event of moving the victims and changing the scene of the accident.   Key words: traffic accidents, accident analysis, driver's identity, passengers' position, finger marks, human skin

  11. 基于自适应遗传算法的飞行器气动参数辨识%Aerodynamic parameter identification of flight vehicles based on adaptive genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    王晓鹏

    2003-01-01

    为了克服传统辨识算法的缺点,把自适应遗传算法作为辨识算法,进行飞行器的非线性气动参数的最大似然仿真辨识.在仿真辨识中,加入了零均值高斯分布的随机观测噪声.辨识结果比较满意,表明自适应遗传算法具有良好的优化性能,是进行气动参数辨识的一种实用的辨识算法.%To overcome the disadvantages of conventional identification algorithms,nonlinear aerodynamic parameter identification of flight vehicles using maximum likelihood method,based on simulation data,is carried out,where adaptive genetic algorithm is taken as identification algorithm.During the course of identification,zero-mean-value random measure noises with Guassian distribution are introduced.The results of identification are rather satisfactory,which shows that adaptive genetic algorithm has excellent performance of optimization and may be taken as a practical identification algorithm for aerodynamic parameter identification.

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

    Science.gov (United States)

    Li, Zefeng; Peng, Zhigang

    2016-06-01

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

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

    Institute of Scientific and Technical Information of China (English)

    李鑫; 陈艳艳; 陈宁; 刘小明; 冯国臣

    2016-01-01

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

  14. STUDY ON SHIFT SCHEDULE AND SIMULATION OF AUTOMATIC TRANSMISSION

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    From the point of view of saving energy, a new shift schedule and auto-controlling strategy for automatic transmission are proposed. In order to verify this shift schedule,a simulation program using a software package of Matlab/Simulink is developed. The simulation results show the shift schedule is correct. This shift schedule has enriched the theory of vehicle automatic maneuvering and will improve the efficiency of hydrodynanic drive system of the vehicle.

  15. Vehicle to Vehicle Services

    DEFF Research Database (Denmark)

    Brønsted, Jeppe Rørbæk

    2008-01-01

    , mobility, and availability of services. The dissertation consists of two parts. Part I gives an overview of service oriented architecture for pervasive computing systems and describes the contributions of the publications listed in part II. We investigate architecture for vehicular technology applications......As computing devices, sensors, and actuators pervade our surroundings, new applications emerge with accompanying research challenges. In the transportation domain vehicles are being linked by wireless communication and equipped with an array of sensors and actuators that make is possible to provide...... location aware infotainment, increase safety, and lessen environmental strain. This dissertation is about service oriented architecture for pervasive computing with an emphasis on vehicle to vehicle applications. If devices are exposed as services, applications can be created by composing a set of services...

  16. 汽车自动变速器故障诊断专家系统的研究%Research on the Fault Diagnoses Expert System of Vehicle Automatic Transmission

    Institute of Scientific and Technical Information of China (English)

    蒋鸣雷

    2013-01-01

    Automatic transmission is a system integrating the machine, electricity and liquid. The fault diagnosis of automatic transmission is very dif icult. At present, the fault diagnosis expert system is the development direction of automatic transmission diagnostic technology. By using the production rule and the frame representation, knowledge base and the fault tree of automatic transmission is are constructed, and the expert system is designed by applying forward reasoning mechanism. The fault diagnosis expert system of automatic transmission is developed by using Visual Basic 6 and Microsoft Access 2003 as the programming language.%  汽车自动变速器是集机、电、液于一体的系统,其故障诊断难度大,故障诊断专家系统是目前汽车自动变速器故障诊断技术的发展方向。利用产生式规则和框架表示法构建知识库,建立自动变速器工作异常故障树并应用正向推理机制对专家系统进行了设计,以Visual Basic 6.0、Microsoft Access 2003为编程语言开发了自动变速器故障诊断专家系统。

  17. Control design and implementation for a line tracker vehicle

    OpenAIRE

    Prats Martinho, Ivan Odair

    2016-01-01

    The aim of this project is to implement control algorithms in a line tracker vehicle. The vehicle should be built and controlled to track a path and the evaluation of the different control performances should be reported. The main goal of this work is to build a two-wheeled robot emulating a vehicle in a road. The aim of the overall project is to apply control techniques to different scenarios of communicated vehicles, such as: platooning, autonomous vehicles, overtaking maneuvers, automat...

  18. Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving

    Science.gov (United States)

    Kerner, Boris S.

    2016-05-01

    In a mini-review Kerner (2013) it has been shown that classical traffic flow theories and models failed to explain empirical traffic breakdown - a phase transition from metastable free flow to synchronized flow at highway bottlenecks. The main objective of this mini-review is to study the consequence of this failure of classical traffic-flow theories for an analysis of empirical stochastic highway capacity as well as for the effect of automatic driving vehicles and cooperative driving on traffic flow. To reach this goal, we show a deep connection between the understanding of empirical stochastic highway capacity and a reliable analysis of automatic driving vehicles in traffic flow. With the use of simulations in the framework of three-phase traffic theory, a probabilistic analysis of the effect of automatic driving vehicles on a mixture traffic flow consisting of a random distribution of automatic driving and manual driving vehicles has been made. We have found that the parameters of automatic driving vehicles can either decrease or increase the probability of the breakdown. The increase in the probability of traffic breakdown, i.e., the deterioration of the performance of the traffic system can occur already at a small percentage (about 5%) of automatic driving vehicles. The increase in the probability of traffic breakdown through automatic driving vehicles can be realized, even if any platoon of automatic driving vehicles satisfies condition for string stability.

  19. Vehicle License Plate Recognition Syst

    Directory of Open Access Journals (Sweden)

    Meenakshi,R. B. Dubey

    2012-12-01

    Full Text Available The vehicle license plate recognition system has greater efficiency for vehicle monitoring in automatic zone access control. This Plate recognition system will avoid special tags, since all vehicles possess a unique registration number plate. A number of techniques have been used for car plate characters recognition. This system uses neural network character recognition and pattern matching of characters as two character recognition techniques. In this approach multilayer feed-forward back-propagation algorithm is used. The performance of the proposed algorithm has been tested on several car plates and provides very satisfactory results.

  20. Vehicles Identification Method Based on Traffic Remote Sensing Image%基于交通遥感图像处理的车辆目标识别方法

    Institute of Scientific and Technical Information of China (English)

    曹天扬; 申莉

    2014-01-01

    遥感技术可以获取城市全局的交通状况,弥补地面传感器的不足;针对交通遥感图像处理的核心问题“车辆目标识别”,设计了一种基于图层分离和最大类间方差阈值分割技术的识别算法;通过图层分离把原始图像转换为深、浅两个图层,将深色车、浅色车、路面三者的区分转换为了适于使用最大类间方差法的图像分割,即深色路面与深色车分割、浅色路面与浅色车分割;为了改善识别效果,还使用了图像辐射增强技术和形态学中的去噪技术;经测试,算法对浅色车的识别率大于80%,深色车的识别率大于75%。%Remote sensing technology can supply the general traffic conditions of city,and compensate for the sensors on the ground.A method for vehicles identification is presented,which can identify moving vehicles on the remote sensing image.This method consists of lay-ers separation and OSTU.The original image is separated to dark layer and bright layer firstly and then OSTU is used to process the two lay-ers.The multi-classification of dark vehicles and bright vehicles and road is changed into the classification of dark car and dark road and the classification of bright car and bright road.In order to improve identification result,remote sensing image enhancement and noise suppression technology based on Morphologic are used.This identification method had been tested,more than 80% bright vehicles and 75%dark vehicles can be identified.

  1. Shift schedule of dual clutch automatic transmission based on driver type identification%基于驾驶员类型识别的双离合自动变速器换挡规律研究

    Institute of Scientific and Technical Information of China (English)

    刘玺; 何仁; 程秀生

    2015-01-01

    为了使车辆驾驶性能满足驾驶员需求,提出了基于数据融合决策的驾驶员类型识别方法并建立了基于驾驶员类型的换挡规律.首先基于驾驶员的驾驶行为和驾驶意图,对驾驶员类型进行分析,制定了基于驾驶风格的驾驶员类型识别方案.选定能表征驾驶员驾驶风格的有效工况及相应的表征信号后,先采用BP神经网络分类器对驾驶风格进行辨识,再采用贝叶斯融合决策方法先后对同类操纵的驾驶风格辨识结果和所有操纵类型驾驶风格辨识结果进行数据融合决策,最终辨识出驾驶员类型.根据驾驶员类型,引入动力性系数,通过不同类型驾驶员对应的动力性系数值的改变,实现换挡规律中动力性因素和经济性因素所占比例的调整,最终形成基于驾驶员类型的 DCT 换挡规律.最后,以搭载 6DCT的某试验车为对象,对不同驾驶员的换挡过程进行仿真实验,结果表明基于驾驶员类型的DCT换挡规律能够适应不同类型的驾驶员需求.该研究为驾驶员类型识别和智能型换挡规律的制定提供了参考.%Shift schedule is one of the major factors for drivability. When using traditional method to establish shift schedule, it considers power performance and fuel economy, but neglects driver characteristics. Speed and throttle in traditional two-parameter shift schedule may reflect vehicle performance for driver to some extent, but driving characteristics of different drivers can't be considered. In this paper, a shift schedule method based on driver type was proposed for making vehicle maneuverability meet drivers' characteristics. In order to obtain the drive type, driving behavior and intention were analyzed according to drivers' operations in driving process, different driver characteristics were obtained, and then drivers could be classified into conservative and sport type. So identification scheme of driver type was proposed. Driver

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

    Institute of Scientific and Technical Information of China (English)

    张作楠; 刘国栋; 娄建

    2011-01-01

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

  3. Navigation System for Reusable Launch Vehicle

    OpenAIRE

    Schlotterer, Markus

    2008-01-01

    PHOENIX is a downscaled experimental vehicle to demonstrate automatic landing capabilities of future Reusable Launch Vehicles (RLVs). PHOENIX has flown in May 2004 at NEAT (North European Aerospace Test range) in Vidsel, Sweden. As the shape of the vehicle has been designed for re-entry, the dynamics are very high and almost unstable. This requires a fast and precise GNC system. This paper describes the navigation system and the navigation filter of PHOENIX. The system is introduced and the h...

  4. Feasible Path Planning for Autonomous Vehicles

    Directory of Open Access Journals (Sweden)

    Vu Trieu Minh

    2014-01-01

    Full Text Available The objective of this paper is to find feasible path planning algorithms for nonholonomic vehicles including flatness, polynomial, and symmetric polynomial trajectories subject to the real vehicle dynamical constraints. Performances of these path planning methods are simulated and compared to evaluate the more realistic and smoother generated trajectories. Results show that the symmetric polynomial algorithm provides the smoothest trajectory. Therefore, this algorithm is recommended for the development of an automatic control for autonomous vehicles.

  5. An Automatic Number Plate Recognition System under Image Processing

    OpenAIRE

    Sarbjit Kaur

    2016-01-01

    Automatic Number Plate Recognition system is an application of computer vision and image processing technology that takes photograph of vehicles as input image and by extracting their number plate from whole vehicle image , it display the number plate information into text. Mainly the ANPR system consists of 4 phases: - Acquisition of Vehicle Image and Pre-Processing, Extraction of Number Plate Area, Character Segmentation and Character Recognition. The overall accuracy and efficiency of whol...

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

    Science.gov (United States)

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

    2017-04-04

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

  7. 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.

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

    Science.gov (United States)

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

    2013-03-01

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

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

    Institute of Scientific and Technical Information of China (English)

    许少华; 陈可为; 梁久祯; 郑生民

    2001-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    吴开兴; 宋剑

    2016-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    张浩鹏; 王宗义; 吴攀超; 林欣堂

    2012-01-01

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

  12. 越野环境中无人驾驶车的障碍目标识别%Obstacle Identification in Cross-Country Environment for Unmanned Ground Vehicles

    Institute of Scientific and Technical Information of China (English)

    赵一兵; 郭烈; 张明恒; 李琳辉

    2011-01-01

    针对无人驾驶车环境感知技术,基于D-S证据理论融合多传感器信息,旨在解决障碍物身份识别技术难点.基于CCD和激光传感器建立信息融合系统,并提取每种障碍物的5个特征证据,包括距离对比度特征、平行四边形特征、边缘形状特征、灰度纹理特征和颜色特征.再根据目标类型和环境加权系数选择经验公式,通过模糊插值法求取身份隶属度近似获得各特征对目标的相关系数构造基本概率赋值函数.最后制定Dempster组合规则,融合多传感器特征信息识别障碍身份.试验表明本文方法能够准确有效地获取基本概率赋值函数,D-S证据理论融合方法提高了障碍物身份识别的准确性和鲁棒性.%Autonomous navigation in cross-country environments presents many new challenges including obstacle perception for unmanned ground vehicle. A new method suitable for recognizing obstacle is proposed. The first step is to build the sensor fusion system by using sensors such as CCD and ladar, then to extract five different types of features, including distance contrast, parallelogram rate, edge-shape-factor, gray texture and HSV value. The experiment formula is selected according to the types of obstacle and weight efficiency to calculate basic probability assignment (BPA). The subordinatien to each event in identification framework is obtained by using the fuzzy interpolation. It is supposed that the subordination is equal to correlation coefficient in the formula. Finally, dempster rules are used to integrate sensors information and the obstacle is recognized based on the D-S theory of evidence. The test results indicate that the resolution of BPA is correct, thus improving the validity and robustness of cross-country environment perception based on the new method.

  13. Plume-based analysis of vehicle fleet air pollutant emissions and the contribution from high emitters

    Directory of Open Access Journals (Sweden)

    J. M. Wang

    2015-03-01

    Full Text Available An automated identification and integration method has been developed to investigate in-use vehicle emissions under real-world conditions. This technique was applied to high time resolution air pollutant measurements of in-use vehicle emissions performed under real-world conditions at a near-road monitoring station in Toronto, Canada during four seasons, through month-long campaigns in 2013–2014. Based on carbon dioxide measurements, over 100 000 vehicle-related plumes were automatically identified and fuel-based emission factors for nitrogen oxides; carbon monoxide; particle number, black carbon; benzene, toluene, ethylbenzene, and xylenes (BTEX; and methanol were determined for each plume. Thus the automated identification enabled the measurement of an unprecedented number of plumes and pollutants over an extended duration. Emission factors for volatile organic compounds were also measured roadside for the first time using a proton transfer reaction time-of-flight mass spectrometer; this instrument provided the time resolution required for the plume capture technique. Mean emission factors were characteristic of the light-duty gasoline dominated vehicle fleet present at the measurement site, with mean black carbon and particle number emission factors of 35 mg kg−1 and 7.7 × 1014 kg−1, respectively. The use of the plume-by-plume analysis enabled isolation of vehicle emissions, and the elucidation of co-emitted pollutants from similar vehicle types, variability of emissions across the fleet, and the relative contribution from heavy emitters. It was found that a small proportion of the fleet (< 25% contributed significantly to total fleet emissions; 95, 93, 76, and 75% for black carbon, carbon monoxide, BTEX, and particle number, respectively. Emission factors of a single pollutant may help classify a vehicle as a high emitter. However, regulatory strategies to more efficiently target multi-pollutants mixtures may be better developed by

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

    Institute of Scientific and Technical Information of China (English)

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

    2015-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    郁志宏; 王栓巧; 张平; 贾超

    2009-01-01

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

  16. 12th Portuguese Conference on Automatic Control

    CERN Document Server

    Soares, Filomena; Moreira, António

    2017-01-01

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

  17. Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure

    Directory of Open Access Journals (Sweden)

    Ching-Yen Chung

    2014-01-01

    Full Text Available WINSmartEV is a software based plug-in electric vehicle (PEV monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE and an enhanced vehicle monitoring/identification module (VMM system that can automatically identify PEVs and authorize charging.

  18. Master-slave control scheme in electric vehicle smart charging infrastructure.

    Science.gov (United States)

    Chung, Ching-Yen; Chynoweth, Joshua; Chu, Chi-Cheng; Gadh, Rajit

    2014-01-01

    WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging.

  19. Study on Automatic Logistics Vehicle Positioning System Based on Web-GIS Technology%基于Web-GIS技术的物流自动车辆定位系研究

    Institute of Scientific and Technical Information of China (English)

    贺媛媛; 赵秦; 马伯元; 聂海荣; 栗惠英

    2013-01-01

    利用地理信息系统的分析功能来完善并提高物流系统的分析功能,研究在物流业车辆定位中引入Web-GIS技术,利用GIS的空间地理信息对车辆进行定位,并利用道路信息,以及路况情况来辅助决策配送车辆的调配和路线规划,给出了基于Web-GIS技术的物流自动车辆定位系统的框架,分析了其可行性.%In this paper,using the analytic function of GIS to boost the performance of the logistics systems,we introduced the Web-GIS technology into logistics vehicle positioning,using the spatial geographical information to position the vehicles and using the road status information to assist dispatching and routing of the distribution vehicles.At the end,we presented the framework of the system and analyzed its feasibility.

  20. 基于几何矩预分类的无人机遥感图像自动配准方法%Automatic Unmanned Aerial Vehicle(UAV) Image Registration Based on Geometric Moment For Pre-classifying

    Institute of Scientific and Technical Information of China (English)

    鲁云飞; 赵红颖; 刘大平; 晏磊

    2011-01-01

    Recently, image registration technology is one of the rapid development field in image processing area. In remote sensing field, it is a significant step for image fusion, moving detection, image correction, image mosaic and so on. Although there are many methods for image registration in the world, different methods apply to different kinds of images, most time the methods are selected by human intervening but not automatically. It becomes a key issue that how to combine the advantages of different methods to achieve automatic image registration, especially for UAV images. In this paper, a pre-classifying method based on geometric moment is proposed after the comparison of image registration methods based on SIFT and SURF feature extraction, in order to decide which image registration method is the best one, thereby, achieve the whole automatic process. The experiments show that this automatic image registration method makes sure a good matching effect and at the same time it broaden the types of applicative images.%图像配准技术是近些年来图像处理领域发展迅速的研究方向之一.在遥感领域内,图像配准更是实现图像融合、运动检测、图像校正、图像拼接等应用的一个关键步骤.尽管国内外目前在图像配准方面提出了很多方法,但不同方法适用的图像范围不同,很多时候需要人工干预进行方法的选择.尤其对于无人机这种快速、实时获取图像的新型遥感平台,如何集合不同方法的优点以实现图像自动配准成为了关键性问题.本文在比较分析了基于SIFT和SURF特征提取图像配准方法的各自优势后,提出基于几何矩的方法对图像进行预先分类,从而决定将其分配给何种方法进行配准,实现全程自动化.实验证明,这种图像自动配准方法在拓宽了图像应用范围的同时保证了良好的配准效果.

  1. 75 FR 15621 - Federal Motor Vehicle Safety Standards; Theft Protection and Rollaway Prevention

    Science.gov (United States)

    2010-03-30

    ... National Highway Traffic Safety Administration 49 CFR Part 571 RIN 2127-AK38 Federal Motor Vehicle Safety... Federal Motor Vehicle Safety Standard No. 114 that certain motor vehicles with an automatic transmission..., or ``Act'') was signed into law.\\1\\ This Act relates to several aspects of motor vehicle...

  2. Parameter Identification of Vehicle Powertrain Mounting System%车辆动力总成悬置系统参数识别

    Institute of Scientific and Technical Information of China (English)

    陈世嵬; 蹇开林; 李锐; 陈伟民; 廖昌荣

    2011-01-01

    It is one of the important requisites for active vibration isolation of a vehicle powertrain mounting system to accurately acquire the inertia properties and the unbalanced forces of the powertrain. Based on the damping controllability of the magneto-rheological damper and the relativity between the unbalanced forces and the rotary speed of the engine, a new method for identifying inertia parameters and unbalanced forces of engine is proposed by measuring engine mount accelerations and support reactions on different damper coefficients. Compared with traditional methods, this method has the merits of targeted, repeated test without motor lifting, all parameters identified simultaneously. The effectiveness of this method is verified by the finite element numerical simulation data of a simple modeland the on-site measured data of a four-cylinder four-stroke powertrain. Results show that the recognition accuracy of inertia parameters meets the engineering needs and the unbalance force identification results are more realistic compared to the simplified theoretical formula.%精确识别车辆动力总成不平衡力以及惯性参数,是对车辆发动机振动进行主动隔离的基础.根据发动机不平衡力只与发动机内部结构以及转速相关的特性,提出一种利用磁流变减振器阻尼参数的可控性,通过测试不同阻尼环境下的各悬置加速度和支座反力,进而识别发动机惯性参数以及不平衡力的新方法.该方法在应用于车辆动力总成悬置系统参数识别时,对比传统识别方法具有针对性强,重复测试不需要起吊发动机,能在识别发动机惯性参数的同时识别不平衡力的特点.利用一个简单模型的有限元数值模拟数据和一个实际四缸四冲程直列式发动机的现场实测数据对新方法进行验证,结果表明,新方法的发动机转动惯量识别精度满足工程应用要求,发动机不平衡力识别结果比简化后的理论公式更能反

  3. Electric vehicles

    Science.gov (United States)

    1990-03-01

    Quiet, clean, and efficient, electric vehicles (EVs) may someday become a practical mode of transportation for the general public. Electric vehicles can provide many advantages for the nation's environment and energy supply because they run on electricity, which can be produced from many sources of energy such as coal, natural gas, uranium, and hydropower. These vehicles offer fuel versatility to the transportation sector, which depends almost solely on oil for its energy needs. Electric vehicles are any mode of transportation operated by a motor that receives electricity from a battery or fuel cell. EVs come in all shapes and sizes and may be used for different tasks. Some EVs are small and simple, such as golf carts and electric wheel chairs. Others are larger and more complex, such as automobile and vans. Some EVs, such as fork lifts, are used in industries. In this fact sheet, we will discuss mostly automobiles and vans. There are also variations on electric vehicles, such as hybrid vehicles and solar-powered vehicles. Hybrid vehicles use electricity as their primary source of energy, however, they also use a backup source of energy, such as gasoline, methanol or ethanol. Solar-powered vehicles are electric vehicles that use photovoltaic cells (cells that convert solar energy to electricity) rather than utility-supplied electricity to recharge the batteries. These concepts are discussed.

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

    Institute of Scientific and Technical Information of China (English)

    萧伊伦; 陈驰宇; 章强强

    2010-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    张翼周

    2014-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    陈阳; 赵跃华; 程显毅

    2012-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    弓晋丽; 彭贤武

    2013-01-01

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

  8. PLC Based Automatic Multistoried Car Parking System

    OpenAIRE

    2014-01-01

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

  9. Longitudinal force estimation for motorized wheels driving electric vehicle based on improved closed-loop subspace identification%基于改进闭环子空间辨识的电动轮汽车纵向力估计

    Institute of Scientific and Technical Information of China (English)

    徐兴; 陈特; 陈龙; 王吴杰

    2016-01-01

    In order to realize the control and coordinated allocation of tire longitudinal force for motorized wheels driving electric vehicle,a longitudinal force estimation method was proposed based on improved closed-loop subspace identification.The characteristics of electric drive system of motorized wheels driving vehicle was analyzed to propose a longitudinal force estimation model.The road simulation test on chassis dynamometer was carried out, and the experimental data were collected. The subspace identification algorithm N4SID was deviated when model input and noise were correlated.To solve the problem,an improved closed-loop subspace identification method was investigated.The results show that compared with N4SID identification method,the improved closed-loop subspace identification method has better anti-interference ability with higher longitudinal force estimation accuracy and better real-time tracking capability,which can meet the requirements of driving force model predictive control based on data driving.%为实现电动轮汽车轮胎纵向力的控制与协调分配,提出了基于改进闭环子空间辨识的电动轮汽车纵向力估计方法。分析了电动轮汽车电驱动系统特性,在此基础上提出了用于辨识的纵向力估计模型。进行底盘测功机道路模拟试验并采集数据。模型输入与噪声相关时,子空间 N4SID (nu-merical algorithm for subspace identification)辨识算法是有偏的,针对这一问题,研究了一种改进闭环子空间辨识算法。结果表明:对比子空间 N4SID 辨识算法,改进闭环子空间辨识算法辨识出的模型具有更好的抗干扰性,纵向力估计精度更高,实时跟踪效果更好,满足基于数据驱动的驱动力模型预测控制的需求。

  10. Application of Artificial Intelligent For Armour Vehicle Detection Using Digital Image Processing For Aerial Application

    Directory of Open Access Journals (Sweden)

    Kamaruddin Abd Ghani

    2011-01-01

    Full Text Available This paper will presents a new automatic target recognition (ATR algorithm to detect targets such as battle tanks and armoured personal carriers especially that been used by Malaysia Armed Forces from air-to- ground scenario. Numerous friendly-fire incidents justify the need for identification of armour vehicle in both command control and weapon systems. Rapid and reliable identification of the targets at maximum surveillance is a challenging problem. In this paper work, the reliable method to segregate the potential target from the background scene such as Fourier Transform is applied before the extracted target will be process in order to get the detail of edges and boundaries using Hough Transform. The edges will provide sufficient information for the system to generate training data for Artificial Neural Network simulation to recognize the potential target image.

  11. 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.

  12. 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

  13. Dismount Threat Recognition through Automatic Pose Identification

    Science.gov (United States)

    2012-03-01

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

  14. Automatic Term Identification for Bibliometric Mapping

    NARCIS (Netherlands)

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

    2008-01-01

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

  15. 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.

  16. 基于车致振动响应的含分布损伤桥梁结构识别方法%Identification of Distributed Damage in Bridges from Vehicle Induced Dynamic Responses

    Institute of Scientific and Technical Information of China (English)

    李海龙; 吕中荣; 刘济科

    2015-01-01

    采用 Newmark 直接积分法和龙格库塔法求解了非线性车桥耦合系统的振动响应,并利用加速度响应灵敏度方法对含裂纹梁结构进行分布类型的损伤识别。文中车辆采用含非线性弹簧的半车模型,桥梁被离散为欧拉梁单元,裂纹引起的桥梁损伤模拟为桥梁局部刚度的线性分布的减少。数值算例表明,在5%噪声情况下,加速度响应灵敏度方法依然可以较准确地识别出桥梁损伤的分布情况。%A distributed damage identification approach under moving vehicle loads is presented based on dynamic response sensitivity.Numerical studies are carried out on a simply supported beam under a vehicle with nonlinear springs for identication of distributed damage due to the crack.Combined Newmark direct integration method and Runge-kutta method are used to calculate the dynamic responses of the cou-pled bridge-vehicle system.The numerical results show that the distributed damage (s)can be identified accurately even with 5% noise in the measured acceleration data.And more accelerometers are needed if there are multiple cracks in the bridge.

  17. Diatom Identification : a Double Challenge Called ADIAC

    NARCIS (Netherlands)

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

    1999-01-01

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

  18. Depth Level Control System using Peripheral Interface Controller for Underwater Vehicle

    Directory of Open Access Journals (Sweden)

    Muhamad Fadli Ghani

    2013-01-01

    Full Text Available This research explained on a design and development of an Automatic Depth Control System for underwater vehicle. Definition of underwater vehicle is a robotic sub-sea that is a part of the emerging field of autonomous and unmanned vehicles. This project shows the implementation’s development of an Automatic Depth Control System on a test prototyping vehicle especially involved small-scale and low cost sub-sea robots. The Automatic Depth Control System assembled with mechanical system and module of electronic system for development of a controller.

  19. Path Tracking Control of Automatic Parking Cloud Model considering the Influence of Time Delay

    Directory of Open Access Journals (Sweden)

    Yiding Hua

    2017-01-01

    Full Text Available This paper establishes the kinematic model of the automatic parking system and analyzes the kinematic constraints of the vehicle. Furthermore, it solves the problem where the traditional automatic parking system model fails to take into account the time delay. Firstly, based on simulating calculation, the influence of time delay on the dynamic trajectory of a vehicle in the automatic parking system is analyzed under the transverse distance Dlateral between different target spaces. Secondly, on the basis of cloud model, this paper utilizes the tracking control of an intelligent path closer to human intelligent behavior to further study the Cloud Generator-based parking path tracking control method and construct a vehicle path tracking control model. Moreover, tracking and steering control effects of the model are verified through simulation analysis. Finally, the effectiveness and timeliness of automatic parking controller in the aspect of path tracking are tested through a real vehicle experiment.

  20. Mediation and Automatization.

    Science.gov (United States)

    Hutchins, Edwin

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

  1. Digital automatic gain control

    Science.gov (United States)

    Uzdy, Z.

    1980-01-01

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

  2. Automatic Differentiation Package

    Energy Technology Data Exchange (ETDEWEB)

    2007-03-01

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

  3. Control of Multiple Robotic Sentry Vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Feddema, J.; Klarer, P.; Lewis, C.

    1999-04-01

    As part of a project for the Defense Advanced Research Projects Agency, Sandia National Laboratories is developing and testing the feasibility of using of a cooperative team of robotic sentry vehicles to guard a perimeter and to perform surround and diversion tasks. This paper describes on-going activities in the development of these robotic sentry vehicles. To date, we have developed a robotic perimeter detection system which consists of eight ''Roving All Terrain Lunar Explorer Rover'' (RATLER{trademark}) vehicles, a laptop-based base-station, and several Miniature Intrusion Detection Sensors (MIDS). A radio frequency receiver on each of the RATLER vehicles alerts the sentry vehicles of alarms from the hidden MIDS. When an alarm is received, each vehicle decides whether it should investigate the alarm based on the proximity of itself and the other vehicles to the alarm. As one vehicle attends an alarm, the other vehicles adjust their position around the perimeter to better prepare for another alarm. We have also demonstrated the ability to drive multiple vehicles in formation via tele-operation or by waypoint GPS navigation. This is currently being extended to include mission planning capabilities. At the base-station, the operator can draw on an aerial map the goal regions to be surrounded and the repulsive regions to be avoided. A potential field path planner automatically generates a path from the vehicles' current position to the goal regions while avoiding the repulsive regions and the other vehicles. This path is previewed to the operator before the regions are downloaded to the vehicles. The same potential field path planner resides on the vehicle, except additional repulsive forces from on-board proximity sensors guide the vehicle away from unplanned obstacles.

  4. Unmanned Aerial Vehicle Serial Aerial Image Automatic Registration Based on Improved SIFT Algorithm%改进SIFT算法的小型无人机航拍图像自动配准

    Institute of Scientific and Technical Information of China (English)

    熊自明; 万刚; 闫鹤; 李明

    2012-01-01

    针对小型无人机航拍图像视点离散、视角变化有一定运动规律的特点,首先对航拍图像进行数据预处理,结合Harris特征点和SIFT特征向量的优势,提取Harris特征点、计算特征点的特征半径和SIFT特征向量,并利用PCA降低特征向量的维数;然后采用最邻近(NN)方法进行特征匹配,利用BBF算法搜索特征的最邻近以提高匹配速度;最后采用PROSAC算法提纯特征点匹配对并精确计算运动模型参数,实现了图像的自动配准.实验证明,该图像配准方法在准确性、效率方面较经典的SIFT算法有较大的提高.%Due to the disperse and regular of view points and the view angle of UAV Aerial Image, the image data was preconditioned at first, then the Harris feature points with SIFT feature vectors were combined, Harris feature points were extracted, the characteristics radius of feature points and SIFT feature vector was calculated, and PCA (Principal Component Analysis) was used to reduce the dimension of SIFT feature vectors. And then the most close method (NN) was used to feature matching, the BBF algorithm was applied to search the nearest neighbor feature for improving the matching speed. Finally, the PROSAC algorithm was used to purify initial feature point matching pairs, and motion model parameters were calculated, the image automatic registration was achieved. The results of experiment proved that such algorithm was more efficient and exact than the classic SIFT algorithm.

  5. Abandoned vehicles

    CERN Multimedia

    Relations with the Host States Service

    2004-01-01

    The services in charge of managing the CERN site have recently noted an increase in the number of abandoned vehicles. This poses a risk from the point of view of safety and security and, on the eve of several important events in honour of CERN's fiftieth anniversary, is detrimental to the Organization's image. Owners of vehicles that have been left immobile for some time on the CERN site, including on the external car park by the flags, are therefore invited to contact the Reception and Access Control Service (service-parking-longterm@cern.ch) before 1st October 2004 and, where appropriate, move their vehicle to a designated long-term parking area. After this date, any vehicle whose owner has failed to respond to this request and which is without a number plate, has been stationary for several weeks or is out of service, may be impounded at the owner's risk and expense. Relations with the Host States Service Tel. 72848

  6. Near term hybrid passenger vehicle development program. Phase I. Appendices C and D. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1980-01-01

    The derivation of and actual preliminary design of the Near Term Hybrid Vehicle (NTHV) are presented. The NTHV uses a modified GM Citation body, a VW Rabbit turbocharged diesel engine, a 24KW compound dc electric motor, a modified GM automatic transmission, and an on-board computer for transmission control. The following NTHV information is presented: the results of the trade-off studies are summarized; the overall vehicle design; the selection of the design concept and the base vehicle (the Chevrolet Citation), the battery pack configuration, structural modifications, occupant protection, vehicle dynamics, and aerodynamics; the powertrain design, including the transmission, coupling devices, engine, motor, accessory drive, and powertrain integration; the motor controller; the battery type, duty cycle, charger, and thermal requirements; the control system (electronics); the identification of requirements, software algorithm requirements, processor selection and system design, sensor and actuator characteristics, displays, diagnostics, and other topics; environmental system including heating, air conditioning, and compressor drive; the specifications, weight breakdown, and energy consumption measures; advanced technology components, and the data sources and assumptions used. (LCL)

  7. Automatic stereoscopic system for person recognition

    Science.gov (United States)

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

    1999-06-01

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

  8. Performance of an Automated-Mixed-Traffic-Vehicle /AMTV/ System. [urban people mover

    Science.gov (United States)

    Peng, T. K. C.; Chon, K.

    1978-01-01

    This study analyzes the operation and evaluates the expected performance of a proposed automatic guideway transit system which uses low-speed Automated Mixed Traffic Vehicles (AMTV's). Vehicle scheduling and headway control policies are evaluated with a transit system simulation model. The effect of mixed-traffic interference on the average vehicle speed is examined with a vehicle-pedestrian interface model. Control parameters regulating vehicle speed are evaluated for safe stopping and passenger comfort.

  9. Automatic basal slice detection for cardiac analysis

    Science.gov (United States)

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

    2016-03-01

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

  10. 四轴车辆全轮转向之自动模式研究%A Research on the Automatic Mode of All-wheel Steering for Four-axle Vehicle

    Institute of Scientific and Technical Information of China (English)

    陈思忠; 郑凯锋

    2015-01-01

    在第2轴转角比例于第1轴转角,第3轴转角比例于第4轴转角的条件下,从理论上分析了全轮转向与双前桥转向之间的差异。接着以质心侧偏角为零,设计了控制器一和控制器二两种控制器,并再次分析了双前桥转向、带控制器一的全轮转向和带控制器二的全轮转向三者之间的区别与联系,为四轴车辆的全轮转向技术的研究提供了理论参考。%Under the condition of that the wheel turning angles in second and third axles are respectively proportional to those of first and fourth axles, the differences between all wheel steering and double-front-axle steer-ing are analyzed theoretically. Then with the sideslip angle of mass center set to zero, controller 1 and controller 2 are designed, and the differences and connections between double-front-axle steering, all wheel steering with con-troller 1 and all wheel steering with controller 2 are analyzed again, providing theoretical references for the research on the all wheel steering technique for four-axle vehicle.

  11. Vehicle passes detector based on multi-sensor analysis

    Science.gov (United States)

    Bocharov, D.; Sidorchuk, D.; Konovalenko, I.; Koptelov, I.

    2015-02-01

    The study concerned deals with a new approach to the problem of detecting vehicle passes in vision-based automatic vehicle classification system. Essential non-affinity image variations and signals from induction loop are the events that can be considered as detectors of an object presence. We propose several vehicle detection techniques based on image processing and induction loop signal analysis. Also we suggest a combined method based on multi-sensor analysis to improve vehicle detection performance. Experimental results in complex outdoor environments show that the proposed multi-sensor algorithm is effective for vehicles detection.

  12. Small-Scale Helicopter Automatic Autorotation: Modeling, Guidance, and Control

    NARCIS (Netherlands)

    Taamallah, S.

    2015-01-01

    Our research objective consists in developing a, model-based, automatic safety recovery system, for a small-scale helicopter Unmanned Aerial Vehicle (UAV) in autorotation, i.e. an engine OFF flight condition, that safely flies and lands the helicopter to a pre-specified ground location. In pursuit o

  13. Automotive Control Systems: For Engine, Driveline, and Vehicle

    Science.gov (United States)

    Kiencke, Uwe; Nielsen, Lars

    Advances in automotive control systems continue to enhance safety and comfort and to reduce fuel consumption and emissions. Reflecting the trend to optimization through integrative approaches for engine, driveline, and vehicle control, this valuable book enables control engineers to understand engine and vehicle models necessary for controller design, and also introduces mechanical engineers to vehicle-specific signal processing and automatic control. The emphasis on measurement, comparisons between performance and modeling, and realistic examples derive from the authors' unique industrial experience

  14. Iris Pattern Segmentation using Automatic Segmentation and Window Technique

    OpenAIRE

    Swati Pandey; Prof. Rajeev Gupta

    2013-01-01

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

  15. The management of complex system innovations. A theoretic approach to network formation and critical success factor identification using the case of fuel cell vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Venghaus, Sandra

    2011-07-01

    Given the economic, ecological and social importance of automotive transportation, the development of alternative fueling and propulsion technologies requires a wise and sustainable political course of action. Not least the public debate on the impact of transport emissions on climate change and the call for limits to automotive CO-2-emissions reflect the relevance of the topic. In the search for innovative alternatives to the conventional gasoline or diesel propulsion technology, electromobility and hydrogen-based fuel cell vehicles constitute the two most widely discussed long-term options. The market introduction of fuel cell vehicles serves as an expedient example of a highly complex system innovation (CSI), which requires the cooperation of a variety of actors from formerly independent economic sectors in order to overcome the significant barriers to market entry. As will be discussed, such CSI can only be successfully implemented in an environment, within which the complexity-induced knowledge gap is reduced by a systematic exchange of information with respect to both the critical success factors identified by each of the involved stakeholders as well as their cooperation needs and expectations. Given this challenge, a framework is developed, which serves as the basis for a structured dialogue among the multiple stakeholders involved in the development process of a complex system innovation. The framework can thus best be classified as a corporate moderation and decision-support tool to achieve transparency in and impose structure on complex contexts. Methodically, the presented thesis addresses the development of a holistic approach to the management of complex system innovations from two perspectives: (1) a theoretical perspective of analyzing underlying structures and processes of CSI management (i.e., the CSI Management Framework), as well as (2) the development of a strategic approach for the practical implementation of CSI management in complex networks

  16. electric vehicle

    Directory of Open Access Journals (Sweden)

    W. R. Lee

    1999-01-01

    Full Text Available A major problem facing battery-powered electric vehicles is in their batteries: weight and charge capacity. Thus, a battery-powered electric vehicle only has a short driving range. To travel for a longer distance, the batteries are required to be recharged frequently. In this paper, we construct a model for a battery-powered electric vehicle, in which driving strategy is to be obtained such that the total travelling time between two locations is minimized. The problem is formulated as an optimization problem with switching times and speed as decision variables. This is an unconventional optimization problem. However, by using the control parametrization enhancing technique (CPET, it is shown that this unconventional optimization is equivalent to a conventional optimal parameter selection problem. Numerical examples are solved using the proposed method.

  17. 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.

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

    Institute of Scientific and Technical Information of China (English)

    陈坚; 叶渊杰; 陈抒; 陈光大; 于永海; 王建明

    2011-01-01

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

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

    CERN Document Server

    Huschenbett, Martin

    2012-01-01

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

  20. 78 FR 76265 - Federal Motor Vehicle Safety Standards; Small Business Impacts of Motor Vehicle Safety

    Science.gov (United States)

    2013-12-17

    ... Vehicle Fuel Efficiency Program. 536 Transfer and Trading of Fuel Economy Credits. ] 537 Automotive Fuel... Sealed Beam Headlamp Information. 565 Vehicle Identification Number (VIN) Requirements. 566 Manufacturer...: Have we organized the material to suit the public's needs? Are the requirements in the rule...

  1. Line matching for automatic change detection algorithm

    Science.gov (United States)

    Dhollande, Jérôme; Monnin, David; Gond, Laetitia; Cudel, Christophe; Kohler, Sophie; Dieterlen, Alain

    2012-06-01

    During foreign operations, Improvised Explosive Devices (IEDs) are one of major threats that soldiers may unfortunately encounter along itineraries. Based on a vehicle-mounted camera, we propose an original approach by image comparison to detect signicant changes on these roads. The classic 2D-image registration techniques do not take into account parallax phenomena. The consequence is that the misregistration errors could be detected as changes. According to stereovision principles, our automatic method compares intensity proles along corresponding epipolar lines by extrema matching. An adaptive space warping compensates scale dierence in 3D-scene. When the signals are matched, the signal dierence highlights changes which are marked in current video.

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

    Institute of Scientific and Technical Information of China (English)

    仇培元; 陆锋; 张恒才; 余丽

    2016-01-01

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

  3. Stability Control of Vehicle Emergency Braking with Tire Blowout

    Directory of Open Access Journals (Sweden)

    Qingzhang Chen

    2014-01-01

    Full Text Available For the stability control and slowing down the vehicle to a safe speed after tire failure, an emergency automatic braking system with independent intellectual property is developed. After the system has received a signal of tire blowout, the automatic braking mode of the vehicle is determined according to the position of the failure tire and the motion state of vehicle, and a control strategy for resisting tire blowout additional yaw torque and deceleration is designed to slow down vehicle to a safe speed in an expected trajectory. The simulating test system is also designed, and the testing results show that the vehicle can be quickly stabilized and kept in the original track after tire blowout with the emergency braking system described in the paper.

  4. Automatic Program Development

    DEFF Research Database (Denmark)

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

  5. 虚拟车内噪声响度场分布的声源识别分析与优化%Virtual loudness mapping for noise source identification and optimization design for vehicle interior noise reduction

    Institute of Scientific and Technical Information of China (English)

    高印寒; 张澧桐; 梁杰; 王智博; 姜文君

    2016-01-01

    The shortcomings of traditional sound pressures level (SPL)were discussed,such as the lack of subjectivity consideration for noise and so on.A virtual method for predicting loudness characteristics and identifying noise sources based on human auditory properties was applied to analyze vehicle interior noises.In order to reduce the interior low booming of commercial vehicle,a characteristic loudness calculation model for diffuse sound field was built in Matlab on the basis of Zwicker model.The excitation signals at the suspension mountings and the responding signals of the interior noise were measured by road testing.And to predict and calculate the loudness mapping and structural contribution of the cab,an acoustic-structure coupled finite element model was established,by which the influences of the vehicle interior noise from different plates sources on the sound quality frequency spectrum design were analysed.The results of noise source identification reveal that compared with the traditional SPL,the loudness mapping adopted as an identifying parameter in noise source identification is more effective to detect rattling sources from cab plates vibrations.By using the proposed method,the acoustic optimization design of the cab was carried out and results in excellent performances.%针对传统声压级对车内噪声主观性考虑不足的缺陷,提出符合人双耳特性的虚拟车内噪声特征响度预测及声源识别方法。根据某重型商用车驾驶室内低频轰鸣声严重的问题,基于 Zwicker 响度模型,在 matlab 中建立频域的混响场特征响度计算模型。结合路试实验激励数据和驾驶室有限元声-固耦合模型,对驾驶室内噪声响度分布和响度结构板块贡献量进行计算,识别不同板材振动产生的辐射噪声分量对驾驶室内噪声品质频谱特性的影响。实验结果表明:相对于声压级,采用响度作为分析参数提高了驾驶室内噪声源识别精度,

  6. 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

  7. 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...

  8. Obstacle detection for vehicle navigation by chaining of adoptive declivities using geometrical constrains

    Science.gov (United States)

    Garg, Ravi; Sahu, Rajendra; Mousset, Stéphane; Bensrhair, Abdelaziz

    2010-02-01

    Here we present an approach of meaningful curve identification with its depth estimation by chaining of the edge points, to locate and track the obstacles with stereo matching for automatic vehicle navigation. We use a self adoptive and nonlinear principle of extended declivity to obtain the edge points (horizontal declivities) in the images. These edge points include lots of noise and hence matching is not effective directly. The large size of the matching problem does not allow us to use effective matching algorithm properly. We use basic assumptions of continuity in the shape of expected obstacles to reduce the problem size and match less number of features effectively. Vertical chaining is used to obtain features which can be used for the tracking or stereo and obtain obstacles in the region of interest. These newly proposed curves are defined with their features and a matching algorithm is used to obtain results.

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

    Institute of Scientific and Technical Information of China (English)

    杨若芳; 项顶

    2011-01-01

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

  10. Vehicles Recognition Using Fuzzy Descriptors of Image Segments

    CERN Document Server

    Płaczek, Bartłomiej

    2011-01-01

    In this paper a vision-based vehicles recognition method is presented. Proposed method uses fuzzy description of image segments for automatic recognition of vehicles recorded in image data. The description takes into account selected geometrical properties and shape coefficients determined for segments of reference image (vehicle model). The proposed method was implemented using reasoning system with fuzzy rules. A vehicles recognition algorithm was developed based on the fuzzy rules describing shape and arrangement of the image segments that correspond to visible parts of a vehicle. An extension of the algorithm with set of fuzzy rules defined for different reference images (and various vehicle shapes) enables vehicles classification in traffic scenes. The devised method is suitable for application in video sensors for road traffic control and surveillance systems.

  11. Vehicle Real-time Location Based on Visual Perception Model

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location is based on human visual perception model technique. The perception color space HSI in this algorithm is adopted.Three color components of a color image and more potential edge patterns are integrated for solving the feature extraction problem.A fast and automatic threshold technique based on human visual perception model is also developed.The vertical edge projection and horizontal edge projection are adopted for locating left-right boundary of vehicle and top-bottom boundary of vehicle, respectively. Very promising experimental results are obtained using real-time vehicle image sequences, which have confirmed that this proposed location vehicle method is efficient and reliable, and its calculation speed meets the needs of the VRS.

  12. Heavy Duty Vehicle Futures Analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Askin, Amanda Christine; Barter, Garrett.; West, Todd H.; Manley, Dawn Kataoka

    2014-05-01

    This report describes work performed for an Early Career Research and Development project. This project developed a heavy-duty vehicle (HDV) sector model to assess the factors influencing alternative fuel and efficiency technology adoption. This model builds on a Sandia light duty vehicle sector model and provides a platform for assessing potential impacts of technological advancements developed at the Combustion Research Facility. Alternative fuel and technology adoption modeling is typically developed around a small set of scenarios. This HDV sector model segments the HDV sector and parameterizes input values, such as fuel prices, efficiencies, and vehicle costs. This parameterization enables sensitivity and trade space analyses to identify the inputs that are most associated with outputs of interest, such as diesel consumption and greenhouse gas emissions. Thus this analysis tool enables identification of the most significant HDV sector drivers that can be used to support energy security and climate change goals.

  13. HUMAN-SIMULATING VEHICLE STEERING CONTROL ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    XU Youchun; LI Keqiang; CHANG Ming; CHEN Jun

    2006-01-01

    A new vehicle steering control algorithm is presented. Unlike the traditional methods do,the algorithm uses a sigmoid function to describe the principle of the human driver's steering strategy.Based on this function, a human simulating vehicle steering model, human-simulating steering control(HS) algorithm is designed. In order to improve the adaptability to different environments, a parameter adaptive adjustment algorithm is presented. This algorithm can online modify the value of the key parameters of the HS real time. HS controller is used on a vehicle equipped with computer vision system and computer controlled steering actuator system, the result from the automatic vehicle steering experiment shows that the HS algorithm gives good performance at different speed, even at the maximum speed of 172 km/h.

  14. 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...

  15. Exploring Automatization Processes.

    Science.gov (United States)

    DeKeyser, Robert M.

    1996-01-01

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

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

    Science.gov (United States)

    Logan, Gordon D.

    1997-01-01

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

  17. Vision-Based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles.

    Science.gov (United States)

    Zhang, Linhuan; Ahamed, Tofael; Zhang, Yan; Gao, Pengbo; Takigawa, Tomohiro

    2016-04-22

    The aim of this study was to design a navigation system composed of a human-controlled leader vehicle and a follower vehicle. The follower vehicle automatically tracks the leader vehicle. With such a system, a human driver can control two vehicles efficiently in agricultural operations. The tracking system was developed for the leader and the follower vehicle, and control of the follower was performed using a camera vision system. A stable and accurate monocular vision-based sensing system was designed, consisting of a camera and rectangular markers. Noise in the data acquisition was reduced by using the least-squares method. A feedback control algorithm was used to allow the follower vehicle to track the trajectory of the leader vehicle. A proportional-integral-derivative (PID) controller was introduced to maintain the required distance between the leader and the follower vehicle. Field experiments were conducted to evaluate the sensing and tracking performances of the leader-follower system while the leader vehicle was driven at an average speed of 0.3 m/s. In the case of linear trajectory tracking, the RMS errors were 6.5 cm, 8.9 cm and 16.4 cm for straight, turning and zigzag paths, respectively. Again, for parallel trajectory tracking, the root mean square (RMS) errors were found to be 7.1 cm, 14.6 cm and 14.0 cm for straight, turning and zigzag paths, respectively. The navigation performances indicated that the autonomous follower vehicle was able to follow the leader vehicle, and the tracking accuracy was found to be satisfactory. Therefore, the developed leader-follower system can be implemented for the harvesting of grains, using a combine as the leader and an unloader as the autonomous follower vehicle.

  18. 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.

  19. Vehicle Traffic Congestion Estimation Based on RFID

    OpenAIRE

    Al-Naima, Fawzi M.; Hamd, Hassan A.

    2012-01-01

    Due to the proliferation in the number of vehicles on the road, traffic problems are bound to exist. Therefore, the use of Intelligent Transportation Systems (ITS) has become mandatory for obtaining traffic information from roads. Radio Frequency Identification (RFID) technology has been used to obtain vehicles’ IDs (tag ID) from RFID readers and to collect traffic information in real‐time. This paper proposes a simulation system for the Vehicle Traffic Congestion Estimation (VTCE) based on R...

  20. Automatic land vehicle navigation using road map data

    Energy Technology Data Exchange (ETDEWEB)

    Schindwolf, R.

    1984-06-01

    A land navigation system has been developed that provides accurate navigation data while it is traveling on mapped roads. The system is autonomous and consists of a simple dead-reckoning navigator that is updated with stored road map data. Simulation and preliminary test results indicate that accuracies on the order of 50 feet can be achieved. Accuracy is independent of time.

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

    Directory of Open Access Journals (Sweden)

    Necla ÖZKAYA

    2007-01-01

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

  2. MRD Model Parameter Identification and Its Application in Vibration Control of Vehicle%MRD模型参数识别及其在振动控制中的应用

    Institute of Scientific and Technical Information of China (English)

    廖英英; 刘永强; 刘金喜; 杨绍普

    2012-01-01

    In order to identify unknown parameters of Bouc-Wen model for a magnetorheological damper (MRD) and improve its generality in semi-active control, a kind of genetic algorithms(GA) is presented, the identification precision can be improved gradually by shrinking range of these parameters. Functional relationship between some parameters and applied current is also determined using curve fitting through analyzing their characteristic curves. The Bouc-Wen model for a MR damper is studied through numerical simulation method. These parameters are identified without any prior knowledge except for experimental data. After building a whole vehicle model with 62 degrees of freedom, numerical simulation analysis of semi-active control system is conducted to verify the Bouc-Wen model identified. Simulation results show that the semi-active control with Bouc-Wen model for MR damper whose parameters are obtained by GA can reduce lateral acceleration of car body and improve ride index of vehicle.%为了识别磁流变阻尼器(MRD) Bouc-Wen模型中的未知参数,提高半主动控制中的参数通用性,提出一种逐渐缩小参数取值范围的遗传算法(GA)提高识别精度,并根据参数随电流的变化趋势对其函数关系进行拟合.对MRD Bouc-Wen模型进行了数值仿真设计.除试验数据外,在无其他先验知识的条件下利用遗传算法进行了参数识别,并在建立62个自由度铁道车辆整车模型的基础上进行了悬挂半主动控制系统数值仿真分析,用于验证识别出的Bouc-Wen模型.仿真结果表明,利用遗传算法识别的MRD Bouc-Wen模型进行半主动控制可以有效降低车体横向加速度,提高车辆运行平稳性能.

  3. Sensor Architecture and Task Classification for Agricultural Vehicles and Environments

    Directory of Open Access Journals (Sweden)

    Francisco Rovira-Más

    2010-12-01

    Full Text Available The long time wish of endowing agricultural vehicles with an increasing degree of autonomy is becoming a reality thanks to two crucial facts: the broad diffusion of global positioning satellite systems and the inexorable progress of computers and electronics. Agricultural vehicles are currently the only self-propelled ground machines commonly integrating commercial automatic navigation systems. Farm equipment manufacturers and satellite-based navigation system providers, in a joint effort, have pushed this technology to unprecedented heights; yet there are many unresolved issues and an unlimited potential still to uncover. The complexity inherent to intelligent vehicles is rooted in the selection and coordination of the optimum sensors, the computer reasoning techniques to process the acquired data, and the resulting control strategies for automatic actuators. The advantageous design of the network of onboard sensors is necessary for the future deployment of advanced agricultural vehicles. This article analyzes a variety of typical environments and situations encountered in agricultural fields, and proposes a sensor architecture especially adapted to cope with them. The strategy proposed groups sensors into four specific subsystems: global localization, feedback control and vehicle pose, non-visual monitoring, and local perception. The designed architecture responds to vital vehicle tasks classified within three layers devoted to safety, operative information, and automatic actuation. The success of this architecture, implemented and tested in various agricultural vehicles over the last decade, rests on its capacity to integrate redundancy and incorporate new technologies in a practical way.

  4. 基于车致振动响应的铁路桥梁损伤位置识别%Damage Location Identification of Railway Bridge Based on Vibration Response Caused by Vehicles

    Institute of Scientific and Technical Information of China (English)

    付春雨; 单德山; 李乔

    2011-01-01

    In order to detect the bridge damage caused by train load, a method for damage location identification was put forward based on acceleration response caused by vehicles. With this method, structural damage vulnerability is firstly analyzed to find out vulnerable sections. From the damage states of these sections, several subdomains are selected from the time domain when a train is running. In every subdomain, the damage states of the studied sections are supposed to remain the same, and damage location identification of every subdomain is divided into 2 hierarchies, a model for damage location identification is established for each hierarchy by using the acceleration history data as damage indexes, sample sets are optimized from several viewpoints, and support vector machine is taken as a tool of classification. The analysis results for a continuous girder show that by taking the correlation between structural damage states and train load into account, this method can detect the vulnerable sections in the time subdomains when damage is prone to appear, and obtain the preferable results of damage location identification with only a little change under low-level noise disturbance.%为识别列车荷载引起的桥梁结构损伤,基于车致振动的加速度响应,提出了一种损伤位置识别方法.该方法通过结构易损性分析,确定结构易损的部位,并根据易损部位的损伤状态,从列车行驶的时间区域中选择若干子区域;然后,假设在每一个子区域内特定易损部位的损伤状态保持不变,将损伤位置识别分为2个层次进行,每一层次均以加速度时程数据构建损伤指标,从多个角度优化样本库,并采用支持向量机作为分类工具,建立损伤位置识别模型.对一连续梁的实例分析表明:该方法能够考虑结构状态与列车荷载的相关性,在损伤最易出现的时间子区域内,对易损部位进行损伤识别,可获得较好的损伤位置识别结果;且

  5. 3D laser methods for calibrating and localising robotic vehicles

    OpenAIRE

    Mark Sheehan

    2013-01-01

    This thesis is about the construction and automatic target-less calibration of a 3D laser sensor; this is then used to localise an autonomous vehicle without using other sensors. Two novel contributions to our knowledge of robotics are presented here. The first is an automatic calibration routine, which is capable of learning its calibration parameters using only data from a 3D laser scanner. Targets with known dimensions are not required, as has previously been the case. The second main ...

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

    Institute of Scientific and Technical Information of China (English)

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

    2007-01-01

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

  7. Automaticity or active control

    DEFF Research Database (Denmark)

    Tudoran, Ana Alina; Olsen, Svein Ottar

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

  8. Automatic Ultrasound Scanning

    DEFF Research Database (Denmark)

    Moshavegh, Ramin

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

  9. 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.

  10. Topological characterization of safe coordinated vehicle motions

    Energy Technology Data Exchange (ETDEWEB)

    MILGRAM.R. JAMES; KAUFMAN,STEPHEN G.

    2000-04-03

    This paper characterizes the homotopy properties and the global topology of the space of positions of vehicles which are constrained to travel without intersecting on a network of paths. The space is determined by the number of vehicles and the network. Paths in the space correspond to simultaneous non-intersecting motions of all vehicles. The authors therefore focus on computing the homotopy type of the space, and show how to do so in the general case. Understanding the homotopy type of the space is the central issue in controlling the vehicles, as it gives a complete description of the distinct ways that vehicles may move safely on the network. The authors exhibit graphs, products of graphs, and amalgamations of products of graphs that are homotopy equivalent to the full configuration space, and are far simpler than might be expected. The results indicate how a control system for such a network of vehicles (such as a fleet of automatically guided vehicles guided by wires buried in a factory floor) may be implemented.

  11. Image-based Vehicle Classification System

    CERN Document Server

    Ng, Jun Yee

    2012-01-01

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

  12. Smart mobile in-vehicle systems next generation advancements

    CERN Document Server

    Abut, Huseyin; Takeda, Kazuya; Hansen, John

    2014-01-01

    This is an edited collection by world-class experts, from diverse fields, focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. The book presents developments on road safety, in-vehicle technologies and state-of-the art systems. Includes coverage of DSP technologies in adaptive automobiles, algorithms and evaluation of in-car communication systems, driver-status monitoring and stress detection, in-vehicle dialogue systems and human-machine interfaces, challenges in video and audio processing for in-vehicle products, multi-sensor fusion for driver identification and vehicle to infrastructure wireless technologies.

  13. 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....

  14. Automatization of lexicographic work

    Directory of Open Access Journals (Sweden)

    Iztok Kosem

    2013-12-01

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

  15. Automatic Design of a Maglev Controller in State Space

    Science.gov (United States)

    1991-12-01

    conventional trains with steel wheels on steel rails. Several experimen- tal maglev systems in Germany and Japan have demonstrated that this mode of...Design of a Maglev Controller in State Space Feng Zhao Richard Thornton Abstract We describe the automatic synthesis of a global nonlinear controller for...the global switching points of the controller is presented. The synthesized control system can stabilize the maglev vehicle with large initial displace

  16. Irregular and adaptive sampling for automatic geophysic measure systems

    Science.gov (United States)

    Avagnina, Davide; Lo Presti, Letizia; Mulassano, Paolo

    2000-07-01

    In this paper a sampling method, based on an irregular and adaptive strategy, is described. It can be used as automatic guide for rovers designed to explore terrestrial and planetary environments. Starting from the hypothesis that a explorative vehicle is equipped with a payload able to acquire measurements of interesting quantities, the method is able to detect objects of interest from measured points and to realize an adaptive sampling, while badly describing the not interesting background.

  17. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-07-01

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

  19. Vehicle Development Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Supports the development of prototype deployment platform vehicles for offboard countermeasure systems. DESCRIPTION: The Vehicle Development Laboratory is...

  20. Vehicle Development Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Supports the development of prototype deployment platform vehicles for offboard countermeasure systems.DESCRIPTION: The Vehicle Development Laboratory is...

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

    Institute of Scientific and Technical Information of China (English)

    张作楠; 刘国栋; 王婷婷

    2011-01-01

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

  2. 40 CFR 205.157-3 - Configuration identification.

    Science.gov (United States)

    2010-07-01

    ...) intake ducting; and (iii) air cleaner element. (3) Vehicle drive train: (i) Chain; and (ii) shaft. (4) Transmission gear ratio: (i) Standard transmission; and (ii) automatic transmission. (5) Cooling...

  3. Automatic voltage imbalance detector

    Science.gov (United States)

    Bobbett, Ronald E.; McCormick, J. Byron; Kerwin, William J.

    1984-01-01

    A device for indicating and preventing damage to voltage cells such as galvanic cells and fuel cells connected in series by detecting sequential voltages and comparing these voltages to adjacent voltage cells. The device is implemented by using operational amplifiers and switching circuitry is provided by transistors. The device can be utilized in battery powered electric vehicles to prevent galvanic cell damage and also in series connected fuel cells to prevent fuel cell damage.

  4. 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.

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

    Science.gov (United States)

    Adjidé, V; Fournier, P; Vassault, A

    2010-12-01

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

  6. Transmissions in vehicles 2010

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-07-01

    Within the international VDI congress 'Gears in vehicles 2010' of the VDI Wissensforum GmbH (Duesseldorf, Federal Republic of Germany) between 22nd and 23rd June, 2010, in Friedrichshafen (Federal Republic of Germany), the following lectures were held: (1) 8HP70H - The moldhybrid transmission from ZF - Cjallenges and achievements (P. Gutmann); (2) GETRAG boosted range extender - A highly flexible electric powertrain for maximum CO{sub 2} reduction (S. Huepkes); (3) E-Transmission between full-hybrid and E-drive (P. Tenberge); (4) Reducing NO{sub x} and particulate emissions in electrified drivelines (R. Kuberczyk); (5) Simulation aided HEV and EV development: from the component to the whole powertrain (A. Gacometti); (6) Investigations on operating behaviour of the optimized CVT hybrid driveline (B.-R. Hoehn); (7) Customer-oriented dimensioning of electrified drivetrains (M. Eghtessad); (8) Decentralized optimal control strategy for parallel hybrid electric vehicles (A. Frenkel); (9) The new generation 6-speed automatic transmission AF40 (G. Bednarek); (10) Customized mechatronic solutions for integrated transmission control units (M. Wieczorek); (11) The optimal automatic transmission for front-transverse applications - Planetary transmissions or dual clutch transmissions? (G. Gumpoltsberger); (12) The new shift-by-wire gearshift lever for the Audi A8 - Requirements and concept (T. Guttenbergere); (13) The new shift-by-wire gearshift lever for the Audi A8 - Realization (A. Giefer); (14) Fuel-efficient transmissions of the future: Calculation of the efficiency factor for vehicle transmissions (B. Volpert); (15) HT-ACM: A new polymer generation for static and dynamic gearbox sealing solutions (E. Osen); (16) 'Energy efficiency equipped solutions by SKF' for power train applications - A contribution to CO{sub 2} - emission reduction and sustainability (T. Bobke); (17) 6-Ratio planetary shift transmission controlled by 4 external brakes, and design

  7. GSM-GPS Based Intelligent Security and Control System for Vehicle

    Directory of Open Access Journals (Sweden)

    Mr. Kiran Gaikwad

    2013-05-01

    Full Text Available The revolution of Mobile and Technology has made ‘GSM based vehicle security system’. The vehicle security system is prominent worldwide. But it is not so much secure system. Every vehicle owner wants maximum protection of his vehicle; otherwise thief can easily trap the vehicle. So, by combing the idea of mobile and vehicle security system GSM based vehicle security system can be designed. So this GSM-GPS based vehicle security system works when someone tries to steal your vehicle. This paper deals with the design {&} development of an embedded system, which is being used to prevent/control the theft of a vehicle. The instrument is an embedded system based on GSM and GPS technology. The instrument is installed in the engine of the vehicle. The main objective of this instrument is to protect the vehicle from any unauthorized access, through entering a protected password and intimate the status and location of the same vehicle to the authorize person (owner using Global System for Mobile Communication (GSM and Global Positioning System (GPS technology. Here owner of vehicle can control system through Cell phone or a personal computer (PC. In this system new concept is inclusion of RTC (Real Time Clock by which vehicle can be permanently off depending upon date and time set. This system is intelligent because it performs many tasks automatically and also control vehicle on/off from a distance

  8. Automatic and efficient driving strategies while approaching a traffic light

    CERN Document Server

    Treiber, Martin

    2014-01-01

    Vehicle-infrastructure communication opens up new ways to improve traffic flow efficiency at signalized intersections. In this study, we assume that equipped vehicles can obtain information about switching times of relevant traffic lights in advance. This information is used to improve traffic flow by the strategies 'early braking', 'anticipative start', and 'flying start'. The strategies can be implemented in driver-information mode, or in automatic mode by an Adaptive Cruise Controller (ACC). Quality criteria include cycle-averaged capacity, driving comfort, fuel consumption, travel time, and the number of stops. By means of simulation, we investigate the isolated strategies and the complex interactions between the strategies and between equipped and non-equipped vehicles. As universal approach to assess equipment level effects we propose relative performance indexes and found, at a maximum speed of 50 km/h, improvements of about 15% for the number of stops and about 4% for the other criteria. All figures d...

  9. Automatic target tracking on multi-resolution terrain

    Institute of Scientific and Technical Information of China (English)

    WAN Ming; ZHANG Wei; MURRAY Marie O.; KAUFMAN Arie

    2006-01-01

    We propose a high-performance path planning algorithm for automatic target tracking in the applications of real-time simulation and visualization of large-scale terrain datasets, with a large number of moving objects (such as vehicles) tracking multiple moving targets. By using a modified Dijkstra's algorithm, an optimal path between each vehicle-target pair over a weighted grid-presented terrain is computed and updated to eliminate the problem of local minima and losing of tracking. Then, a dynamic path re-planning strategy using multi-resolution representation of a dynamic updating region is proposed to achieve high-performance by trading-off precision for efficiency, while guaranteeing accuracy. Primary experimental results showed that our algorithm successfully achieved 10 to 96 frames per second interactive path-replanning rates during a terrain simulation scenario with 10 to 100 vehicles and multiple moving targets.

  10. Comparison of automatic control systems

    Science.gov (United States)

    Oppelt, W

    1941-01-01

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

  11. An Experimental Study on the Friction States Identification of Seal Ring in Vehicle Transmission Device%车辆传动装置密封环摩擦状态辨识的试验研究

    Institute of Scientific and Technical Information of China (English)

    宫燃; 葛如海; 张学荣; 徐宜

    2013-01-01

    For exploring the cause of the premature failure of seal ring in vehicle transmission device and understanding the rule of transform in sealing friction states and its effects on sealing performance, the friction coefficient versus operating parameter curves, i. e. f-G curves are obtained by a measurement on a sealing performance test rig for transmission device, the changing rule of sealing friction states at different oil temperature conditions is studied, and the effects of friction state transform on sealing performance are analyzed. The results indicate that under the set test conditions, the transforming rule of friction states of seal ring and its identification features can be revealed by f-G curves; But the change of friction states of seal ring only has limited effects on seal leakage while the influences of the temperature rise of seal ring are more apparent.%为探讨车辆传动装置的密封环早期失效的原因,掌握密封摩擦状态转变规律及其对密封性能的影响,利用传动装置密封性能试验台,测得摩擦因数-工况参数曲线(即f-G曲线),研究了不同油温条件下密封摩擦状态的变化规律,分析了密封环摩擦状态转变对密封性能的影响.结果表明,在设定的试验条件下,通过f-G曲线可揭示密封环在高速重载工况下摩擦状态转变规律及其辨识特征;密封环摩擦状态的转变对泄漏量的影响有限,而对密封环温升的影响较为显著.

  12. VEHICLE SIMULATION MODEL FOR DEVELOPING AN INTELLIGENT SLOPE SHIFT STRATEGY

    Institute of Scientific and Technical Information of China (English)

    Jin Hui; Ge Anlin

    2004-01-01

    With the rapid development of electronics and the growing demand for higher vehicle performance,intelligent shift technology is becoming increasingly important,and it promises to be a developing trend in vehicle automatic transmissions.A new simulation model is presented,which includes engine,powertrain,tire and vehicle dynamics models.Based on the model,simulation experiments are conducted to investigate the slope shift strategy.The data and conclusions obtained from the simulations are valuable contributions to the development of an intelligent slope shift strategy.

  13. 41 CFR 109-38.204-50 - Records of exempted motor vehicles.

    Science.gov (United States)

    2010-07-01

    ... motor vehicles. 109-38.204-50 Section 109-38.204-50 Public Contracts and Property Management Federal... AVIATION, TRANSPORTATION, AND MOTOR VEHICLES 38-MOTOR EQUIPMENT MANAGEMENT 38.2-Registration, Identification, and Exemptions § 109-38.204-50 Records of exempted motor vehicles. The Director, Office...

  14. Structuring automated vehicle guidance knowledge in The Netherlands

    NARCIS (Netherlands)

    Hoedemaeker, M.; Bastiaensen, E.G.H.J.; Zwaneveld, P.J.

    2000-01-01

    This paper describes the set-up of a AVG knowledge database from the AVV Transport Research Centre from the Dutch Ministry of Transport, Public Works and Water Management. The database provides a categorised overview of all research performed in The Netherlands in the area of Automatic Vehicle Guida

  15. Automatic Fixture Planning

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    Fixture planning is a crucial problem in the field of fixture design. In this paper, the research scope and research methods of the computer-aided fixture planning are presented. Based on positioning principles of typical workparts, an ANN algorithm, namely Hopfield algorithm, is adopted for the automatic fixture planning. Also, this paper leads a deep research into the selection of positioning and clamping surfaces (or points) on workparts using positioning-clamping-surface-selecting rules and matrix evaluation of deterministic workpart positioning. In the end of this paper, the methods to select positioning and clamping elements from database and the layout algorithm to assemble the selected fixture elements into a tangible fixture are developed.

  16. A Novel Vehicle Classification Using Embedded Strain Gauge Sensors

    Directory of Open Access Journals (Sweden)

    Qi Wang

    2008-11-01

    Full Text Available Abstract: This paper presents a new vehicle classification and develops a traffic monitoring detector to provide reliable vehicle classification to aid traffic management systems. The basic principle of this approach is based on measuring the dynamic strain caused by vehicles across pavement to obtain the corresponding vehicle parameters – wheelbase and number of axles – to then accurately classify the vehicle. A system prototype with five embedded strain sensors was developed to validate the accuracy and effectiveness of the classification method. According to the special arrangement of the sensors and the different time a vehicle arrived at the sensors one can estimate the vehicle’s speed accurately, corresponding to the estimated vehicle wheelbase and number of axles. Because of measurement errors and vehicle characteristics, there is a lot of overlap between vehicle wheelbase patterns. Therefore, directly setting up a fixed threshold for vehicle classification often leads to low-accuracy results. Using the machine learning pattern recognition method to deal with this problem is believed as one of the most effective tools. In this study, support vector machines (SVMs were used to integrate the classification features extracted from the strain sensors to automatically classify vehicles into five types, ranging from small vehicles to combination trucks, along the lines of the Federal Highway Administration vehicle classification guide. Test bench and field experiments will be introduced in this paper. Two support vector machines classification algorithms (one-against-all, one-against-one are used to classify single sensor data and multiple sensor combination data. Comparison of the two classification method results shows that the classification accuracy is very close using single data or multiple data. Our results indicate that using multiclass SVM-based fusion multiple sensor data significantly improves

  17. Complete automatic target cuer/recognition system for tactical forward-looking infrared images

    Science.gov (United States)

    Ernisse, Brian E.; Rogers, Steven K.; DeSimio, Martin P.; Raines, Richard A.

    1997-09-01

    A complete forward-looking IR (FLIR) automatic target cuer/recognizer (ATC/R) is presented. The data used for development and testing of this ATC/R are first generation FLIR images collected using a F-15E. The database contains thousands of images with various mission profiles and target arrangements. The specific target of interest is a mobile missile launcher, the primary target. The goal is to locate all vehicles (secondary targets) within a scene and identify the primary targets. The system developed and tested includes an image segmenter, region cluster algorithm, feature extractor, and classifier. Conventional image processing algorithms in conjunction with neural network techniques are used to form a complete ATC/R system. The conventional techniques include hit/miss filtering, difference of Gaussian filtering, and region clustering. A neural network (multilayer perceptron) is used for classification. These algorithms are developed, tested and then combined into a functional ATC/R system. Overall primary target detection rate (cuer) is 84% with a 69% primary target identification (recognizer) rate at ranges relevant to munitions release. Furthermore, the false alarm rate (a nontarget cued as a target) in only 2.3 per scene. The research is being completed with a 10 flight test profile using third generation FLIR images.

  18. Automatic identification of address description in unstructured Chinese natural lan-guage%非结构化中文自然语言地址描述的自动识别

    Institute of Scientific and Technical Information of China (English)

    赵卫锋; 张勤

    2016-01-01

    The texts of address description in natural language, which are massive and available on the Internet, imply a wealth of spatial information. Considering its unstructured characteristics, a two-step approach is proposed in this paper to automatically extract the information of words and syntaxes from the corpus of address description in Chinese natural lan-guage, for further discovery of associated spatial knowledge. In the first step, an gazetteer-independent word segmentation algorithm for Chinese is designed, according to statistical regularities of the co-occurrence of character strings in the address corpus. In this algorithm, a predefined list comprised of common words used for indicating or restricting others in address statements, could be introduced to improve segmentation effect and facilitate part-of-speech tagging. In the second step, a finite state machine model is built to represent common syntaxes of Chinese address description, and then applied to automatically match and recognize the syntactic structures of segmented and tagged address statements. On the basis of the abundant address corpus collected from Internet, the experiments for statistical segmentation and syntactic recognition demonstrate the effectiveness and availability of this approach.%互联网中存在海量易获取的自然语言形式地址描述文本,其中蕴含丰富的空间信息。针对其非结构化特点,提出了自动提取中文自然语言地址描述中词语和句法信息的方法,以便深度挖掘空间知识。首先,根据地址语料中字串共现的统计规律设计一种不依赖地名词典的中文分词算法,并利用在地址文本中起指示、限定作用的常见词语组成的预定义词表改善分词效果及辅助词性标注。分词完成后,定义能够表达中文地址描述常用句法的有限状态机模型,进而利用其自动匹配与识别地址文本的句法结构。最后,基于大规模真实语料的统计

  19. Pneumatic brake control for precision stopping of heavy-duty vehicles

    OpenAIRE

    Bu, Fanping; Tan, Han-Shue

    2007-01-01

    Precision stopping is an important automated vehicle control function that is critical in applications such as precision bus docking, automated truck or bus fueling, as well as automatic intersection, or toll booth stopping. The initial applications of this technology are most likely to be applied to heavy-duty vehicles such as buses or trucks. Such applications require specific attention to brake control since the characteristics of a typical pneumatic brake system of a heavy vehicle is inhe...

  20. Neuro-fuzzy system modeling based on automatic fuzzy clustering

    Institute of Scientific and Technical Information of China (English)

    Yuangang TANG; Fuchun SUN; Zengqi SUN

    2005-01-01

    A neuro-fuzzy system model based on automatic fuzzy clustering is proposed.A hybrid model identification algorithm is also developed to decide the model structure and model parameters.The algorithm mainly includes three parts:1) Automatic fuzzy C-means (AFCM),which is applied to generate fuzzy rules automatically,and then fix on the size of the neuro-fuzzy network,by which the complexity of system design is reducesd greatly at the price of the fitting capability;2) Recursive least square estimation (RLSE).It is used to update the parameters of Takagi-Sugeno model,which is employed to describe the behavior of the system;3) Gradient descent algorithm is also proposed for the fuzzy values according to the back propagation algorithm of neural network.Finally,modeling the dynamical equation of the two-link manipulator with the proposed approach is illustrated to validate the feasibility of the method.

  1. Moving Vehicle Detection and Tracking Algorithm in Traffic Video

    Directory of Open Access Journals (Sweden)

    Shisong Zhu

    2013-06-01

    Full Text Available Aiming at the defects and shortages of traditional moving vehicles detection algorithms, by the analysis and comparison of the existing detection algorithms, we propose an algorithm that combined with frames with symmetric difference and background difference to detect moving vehicle in this paper. First, two different difference images by using frames with symmetric difference and background difference are gained respectively and two binary images can be gained by the appropriate threshold, then the contour of moving vehicles can be extracted by applying OR operation in the two binary images. Finally, the precise moving vehicles will be gained by mathematic morphological methods. In this paper we use Harris operator, Feature Points such as edges and corners are extracted, followed by block-matching to track the Feature Points in successive viedo frames. Many vehicles can be tracked at the same time automatically since  the  information is obtained from video sequences.

  2. Exploring Sound Signature for Vehicle Detection and Classification Using ANN

    Directory of Open Access Journals (Sweden)

    Jobin George

    2013-06-01

    Full Text Available This paper attempts to explore the possibility of using sound signatures for vehicle detection andclassification purposes. Sound emitted by vehicles are captured for a two lane undivided road carryingmoderate traffic. Simultaneous arrival of different types vehicles, overtaking at the study location, sound ofhorns, random but identifiable back ground noises, continuous high energy noises on the back ground arethe different challenges encountered in the data collection. Different features were explored out of whichsmoothed log energy was found to be useful for automatic vehicle detection by locating peaks. Mel-frequency ceptral coefficients extracted from fixed regions around the detected peaks along with themanual vehicle labels are utilised to train an Artificial Neural Network (ANN. The classifier for fourbroad classes heavy, medium, light and horns was trained. The ANN classifier developed was able topredict categories well.

  3. A Comparative Study Based on the Least Square Parameter Identification Method for State of Charge Estimation of a LiFePO4 Battery Pack Using Three Model-Based Algorithms for Electric Vehicles

    OpenAIRE

    Taimoor Zahid; Weimin Li

    2016-01-01

    Battery energy storage management for electric vehicles (EV) and hybrid EV is the most critical and enabling technology since the dawn of electric vehicle commercialization. A battery system is a complex electrochemical phenomenon whose performance degrades with age and the existence of varying material design. Moreover, it is very tedious and computationally very complex to monitor and control the internal state of a battery’s electrochemical systems. For Thevenin battery model we establishe...

  4. Impact of a radio-frequency identification system and information interchange on clearance processes for cargo at border posts

    Directory of Open Access Journals (Sweden)

    Ernest Bhero

    2015-02-01

    Full Text Available Background: Improved operational efficiency is important to role players in cross-border logistics and trade corridors. Cargo owners and cargo forwarders have been particularly concerned about long delays in the processing and clearing of cargo at border posts. Field studies suggest that these delays are due to a combination of factors, such as a lack of optimum system configurations and non-optimised human-dependent operations, which make the operations prone to corruption and other malpractices.Objectives: This article presents possible strategies for improving some of the operations in this sector. The research hinges on two key questions: (1 what is the impact of information interchange between stakeholders on the cargo transit time and (2 how will cargo transit time be impacted upon by automatic identification of cargo and the status of cargo seals on arriving vehicles at the border?Method: The use of information communication systems enabled by automatic identification systems (incorporating radio-frequency identification technology is suggested.Results: Results obtained by the described simulation model indicate that improvements of up to 82% with regard to transit time are possible using these techniques.Conclusion: The findings therefore demonstrate how operations at border posts can be improved through the use of appropriate technology and configuration of the operations.

  5. Identification for automotive systems

    CERN Document Server

    Hjalmarsson, Håkan; Re, Luigi

    2012-01-01

    Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.

  6. Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms

    OpenAIRE

    Turroni, Francesco

    2012-01-01

    The identification of people by measuring some traits of individual anatomy or physiology has led to a specific research area called biometric recognition. This thesis is focused on improving fingerprint recognition systems considering three important problems: fingerprint enhancement, fingerprint orientation extraction and automatic evaluation of fingerprint algorithms. An effective extraction of salient fingerprint features depends on the quality of the input fingerprint. If the fingerp...

  7. Isolation of Bacteria and Yeasts from Daqu Samples and its Identification by Biolog Automatic Analyzer for Microbes%大曲中细菌和酵母菌的分离及其Biolog微生物系统分析鉴定

    Institute of Scientific and Technical Information of China (English)

    聂凌鸿; 樊璐; 季方

    2012-01-01

    [Objective] The study aimed to discuss the application of Biolog Automatic Analyzer for Microbes in the identification of the bacteria and yeast in Daqu. [ Method] By the dilution-plate method,the bacteria and yeast in the Daqu samples brewed by the sing kinds of the food were made for the isolated culture resp. By using the nutrition agar medium and malt juice medium. The isolated and purified bacteria and yeast were I-dentified by the Biolog Automatic Analyzer for Microbes after the microscopic observation on the colony. [Result] 7 purified bacteria strains and 4 purified yeast strains were isolated from Daqu single colony samples. Through the identification by Biolog Automatic Analyzer for Microbes,5 strains in seven bacteria strains were confirmed as Bacillus pumilu(M1 strain), Bacillus qingdaonensu ( M2 strain), Bacillus megaterium(M3 strain),Bacillus amyloliquefaciens(M4 strain),Bacillus megaterium(M5 strain); 2 strains in 4 yeast strains were confirmed as Zygosaccharomyces cidri(N1 strain) ,Saccharomyces boulardii(N2 strain). [Conclusion] The study laid the foundation for the analysis of the microbes in Daqu.%[目的]初步探讨Biolog微生物自动分析系统在大曲细菌、酵母菌鉴定中的应用.[方法]利用稀释平板法,采用营养琼脂培养基和麦芽汁培养基,分别对单粮型大曲样品中的细菌和酵母菌进行分离培养.对分离纯化的细菌和酵母菌,经菌落观察和镜检后,利用Biolog微生物自动分析系统对其进行鉴定.[结果]从大曲单个菌落样品中分别分离出7株纯化的细菌菌株和4株纯化的酵母菌株,经Biolog微生物自动分析系统,确定其中5株细菌分别为:M1为短小芽孢杆菌(Bacillus pumilus)、M2为青岛芽孢杆菌(Bacillus qingdaonensis)、M3为巨大芽孢杆菌(Bacillus megaterium)、M4为解淀粉芽孢杆菌(Bacillus amyloliquefaciens)、M5为巨大芽孢杆菌(Bacillus megaterium);确定其中2株酵母菌分别为:N1

  8. Automatic aircraft recognition

    Science.gov (United States)

    Hmam, Hatem; Kim, Jijoong

    2002-08-01

    Automatic aircraft recognition is very complex because of clutter, shadows, clouds, self-occlusion and degraded imaging conditions. This paper presents an aircraft recognition system, which assumes from the start that the image is possibly degraded, and implements a number of strategies to overcome edge fragmentation and distortion. The current vision system employs a bottom up approach, where recognition begins by locating image primitives (e.g., lines and corners), which are then combined in an incremental fashion into larger sets of line groupings using knowledge about aircraft, as viewed from a generic viewpoint. Knowledge about aircraft is represented in the form of whole/part shape description and the connectedness property, and is embedded in production rules, which primarily aim at finding instances of the aircraft parts in the image and checking the connectedness property between the parts. Once a match is found, a confidence score is assigned and as evidence in support of an aircraft interpretation is accumulated, the score is increased proportionally. Finally a selection of the resulting image interpretations with the highest scores, is subjected to competition tests, and only non-ambiguous interpretations are allowed to survive. Experimental results demonstrating the effectiveness of the current recognition system are given.

  9. AUTOMOTIVE DIESEL MAINTENANCE 2. UNIT VI, AUTOMATIC TRANSMISSIONS--PLANETARY GEARING.

    Science.gov (United States)

    Human Engineering Inst., Cleveland, OH.

    THIS MODULE OF A 25-MODULE COURSE IS DESIGNED TO ACQUAINT THE TRAINEE WITH THE OPERATION OF PLANETARY GEARS IN AUTOMATIC TRANSMISSIONS USED ON DIESEL POWERED VEHICLES. TOPICS ARE (1) PURPOSE OF PLANETARY GEARING, (2) POWER TRANSMISSION THROUGH A PLANETARY SYSTEM, (3) HYDRAMATIC TRANSMISSION, (4) HYDRAULIC SYSTEM, AND (5) GEAR FAILURE AND…

  10. Automatic target recognition in synthetic aperture sonar images for autonomous mine hunting

    NARCIS (Netherlands)

    Quesson, B.A.J.; Sabel, J.C.; Bouma, H.; Dekker, R.J.; Lengrand-Lambert, J.

    2010-01-01

    The future of Mine Countermeasures (MCM) operations lies with unmanned platforms where Automatic Target Recognition (ATR) is an essential step in making the mine hunting process autonomous. At TNO, a new ATR method is currently being developed for use on an Autonomous Underwater Vehicle (AUV), using

  11. Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving

    CERN Document Server

    Kerner, Boris S

    2016-01-01

    In a mini-review [Physica A {\\bf 392} (2013) 5261--5282] it has been shown that classical traffic flow theories and models failed to explain empirical traffic breakdown -- a phase transition from metastable free flow to synchronized flow at highway bottlenecks. The main objective of this mini-review is to study the consequence of this failure of classical traffic-flow theories for an analysis of empirical stochastic highway capacity as well as for the effect of automatic driving vehicles and cooperative driving on traffic flow. To reach this goal, we show a deep connection between the understanding of empirical stochastic highway capacity and a reliable analysis of automatic driving vehicles in traffic flow. With the use of simulations in the framework of three-phase traffic theory, a probabilistic analysis of the effect of automatic driving vehicles on a mixture traffic flow consisting of a random distribution of automatic driving and manual driving vehicles has been made. We have found that the parameters o...

  12. Electronic amplifiers for automatic compensators

    CERN Document Server

    Polonnikov, D Ye

    1965-01-01

    Electronic Amplifiers for Automatic Compensators presents the design and operation of electronic amplifiers for use in automatic control and measuring systems. This book is composed of eight chapters that consider the problems of constructing input and output circuits of amplifiers, suppression of interference and ensuring high sensitivity.This work begins with a survey of the operating principles of electronic amplifiers in automatic compensator systems. The succeeding chapters deal with circuit selection and the calculation and determination of the principal characteristics of amplifiers, as

  13. The Automatic Telescope Network (ATN)

    CERN Document Server

    Mattox, J R

    1999-01-01

    Because of the scheduled GLAST mission by NASA, there is strong scientific justification for preparation for very extensive blazar monitoring in the optical bands to exploit the opportunity to learn about blazars through the correlation of variability of the gamma-ray flux with flux at lower frequencies. Current optical facilities do not provide the required capability.Developments in technology have enabled astronomers to readily deploy automatic telescopes. The effort to create an Automatic Telescope Network (ATN) for blazar monitoring in the GLAST era is described. Other scientific applications of the networks of automatic telescopes are discussed. The potential of the ATN for science education is also discussed.

  14. Automatic calibration and neural networks for robot guidance

    Science.gov (United States)

    Sethuramasamyraja, Balaji; Ghaffari, Masoud; Hall, Ernest L.

    2003-10-01

    An autonomous robot must be able to sense its environment and react appropriately in a variable environment. The University of Cincinnati Robot team is actively involved in building a small, unmanned, autonomously guided vehicle for the International Ground Robotics Contest organized by Association for Unmanned Vehicle Systems International (AUVSI) each year. The unmanned vehicle is supposed to follow an obstacle course bounded by two white/yellow lines, which are four inches thick and 10 feet apart. The navigation system for one of the University of Cincinnati"s designs, Bearcat, uses 2 CCD cameras and an image-tracking device for the front end processing of the image captured by the cameras. The three dimensional world co-ordinates were reduced to two dimensional image coordinates as a result of the transformations taking place from the ground plane to the image plane. A novel automatic calibration system was designed to transform the image co-ordinates back to world co-ordinates for navigation purposes. The purpose of this paper is to simplify this tedious calibration using an artificial neural network. Image processing is used to automatically detect calibration points. Then a back projection neural algorithm is used to learn the relationships between the image coordinates and three-dimensional coordinates. This transformation is the main focus of this study. Using these algorithms, the robot built with this design is able to track and follow the lines successfully.

  15. Electric Vehicle Charging Modeling

    OpenAIRE

    Grahn, Pia

    2014-01-01

    With an electrified passenger transportation fleet, carbon dioxide emissions could be reduced significantly depending on the electric power production mix. Increased electric power consumption due to electric vehicle charging demands of electric vehicle fleets may be met by increased amount of renewable power production in the electrical systems. With electric vehicle fleets in the transportation system there is a need for establishing an electric vehicle charging infrastructure that distribu...

  16. A Novel Morphological Method for Detection and Recognition of Vehicle License Plates

    Directory of Open Access Journals (Sweden)

    S. H.M. Kasaei

    2009-01-01

    Full Text Available Problem statement: License plate detection and recognition is an image-processing technique used to identify a vehicle by its license plate. This notable technology has got multiple applications in various traffic and security cases. To name but a few, toll roads, border control, security and car tracking are same of its applications. The main stage is the isolation of the license plate, from the digital image of the car obtained by a digital camera under different circumstances such as illumination, slop, distance and angle. Approach: This study presented a novel method of identifying and recognizing license plates based on the morphology and template matching. The algorithm started with reprocessing and signal conditioning. Next license plate is localized using morphological operators. Then a template matching scheme will be used to recognize the digits and characters within the plate. Results: The system was tested on Iranian car plate images and the performance was 97.3% of correct plates identification and localization and 92% of correct recognized characters. The results regarding the complexity of the problem and diversity of the test cases showed the high accuracy and robustness of the proposed method. The method could also be applicable for other applications in the transport information systems, where automatic recognition of registration plates, shields, signs and so on is often necessary. Conclusion: This system was customized for the identification of Iranian license plates. The results showed that this algorithm performs well on different types of vehicles including Iranian car and motorcycle plates as well as diverse circumstances. We believe that this system can be redesigned and tested for multi national car license plates in the future time regarding their own attributes.

  17. Road-rail vehicle

    NARCIS (Netherlands)

    Evers, J.J.M.

    2002-01-01

    A transport vehicle equipped with a number of first wheel sets, having wheels provided with tires, to which steering means and driving means, if any, are coupled to enable the transport vehicle to be moved over a road surface. The transport vehicle further comprises at least one second wheel set, ha

  18. Electric vehicles: Driving range

    Science.gov (United States)

    Kempton, Willett

    2016-09-01

    For uptake of electric vehicles to increase, consumers' driving-range needs must be fulfilled. Analysis of the driving patterns of personal vehicles in the US now shows that today's electric vehicles can meet all travel needs on almost 90% of days from a single overnight charge.

  19. The Electric Vehicle Development

    DEFF Research Database (Denmark)

    Wang, Jingyu; Yingqi, Liu; Kokko, Ari

    2014-01-01

    in three aspects-city environment, government and stakeholders. Then the paper discusses the promotion ways and role of government and consumer. Finally, the paper offers some suggestions to promote electric vehicles in China: focusing on feasibility and adaptability of electric vehicles, playing...... government`s leading role, improving low-awareness and acceptance of electric vehicles and focusing on user requirements....

  20. Automotive vehicle sensors

    Energy Technology Data Exchange (ETDEWEB)

    Sheen, S.H.; Raptis, A.C.; Moscynski, M.J.

    1995-09-01

    This report is an introduction to the field of automotive vehicle sensors. It contains a prototype data base for companies working in automotive vehicle sensors, as well as a prototype data base for automotive vehicle sensors. A market analysis is also included.

  1. Electric Vehicle Technician

    Science.gov (United States)

    Moore, Pam

    2011-01-01

    With President Obama's goal to have one million electric vehicles (EV) on the road by 2015, the electric vehicle technician should have a promising and busy future. "The job force in the car industry is ramping up for a revitalized green car industry," according to Greencareersguide.com. An electric vehicle technician will safely troubleshoot and…

  2. [The application of atomic absorption spectrometry in automatic transmission fault detection].

    Science.gov (United States)

    Chen, Li-dan; Chen, Kai-kao

    2012-01-01

    The authors studied the innovative applications of atomic absorption spectrometry in the automatic transmission fault detection. After the authors have determined Fe, Cu and Cr contents in the five groups of Audi A6 main metal in automatic transmission fluid whose travel course is respectively 10-15 thousand kilometers, 20-26 thousand kilometers, 32-38 thousand kilometers, 43-49 thousand kilometers, and 52-58 thousand kilometers by atomic absorption spectrometry, the authors founded the database of primary metal content in the Audi A6 different mileage automatic transmission fluid (ATF). The research discovered that the main metal content in the automatic transmission fluid increased with the vehicles mileage and its normal metal content level in the automatic transmission fluid is between the two trend lines. The authors determined the main metal content of automatic transmission fluid which had faulty symptoms and compared it with its database value. Those can not only judge the wear condition of the automatic transmission which had faulty symptoms but also help the automobile detection and maintenance personnel to diagnose automatic transmission failure reasons without disintegration. This reduced automobile maintenance costs, and improved the quality of automobile maintenance.

  3. MicroflexTM MALDI-TOF MS 和 Vitek 2 Compact 全自动微生物分析系统对肠杆菌科细菌鉴定能力的比较%Comparison on the identification abilities of MicroflexTM MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system for Enterobacteriaceae

    Institute of Scientific and Technical Information of China (English)

    刘瑛; 俞静; 陈峰; 刘婧娴; 李媛睿; 皇甫昱婵; 沈立松

    2015-01-01

    目的:比较MicroflexTM基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)和Vitek 2 Compact全自动微生物分析系统(简称 Vitek 2 Compact)对肠杆菌科细菌的鉴定能力。方法采用 MicroflexTM MALDI-TOF MS 和 Vitek 2 Compact 同时对545株肠杆菌科质控菌株和临床分离菌株进行鉴定,鉴定结果不一致者采用沙门菌血清凝集试验或细菌16S rDNA 基因测序予以确证。结果MicroflexTM MALDI-TOF MS 对545株细菌的种和属的鉴定率分别为97.1%、2.9%。Vitek 2 Compact 对545株细菌的种、群、属的鉴定率分别为83.3%、13.9%和2.2%,鉴定错误率为0.2%,未鉴定率为0.4%。结论MicroflexTM MALDI-TOF MS 对肠杆菌科细菌的鉴定符合率高于 Vitek 2 Compact,且操作快速、简便,成本低,可用于临床肠杆菌科细菌的常规快速鉴定。%Objective To compare the identification abilities of MicroflexTM matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS)and Vitek 2 Compact automatic microbial analysis system (Vitek 2 Compact)for Enterobacteriaceae.Methods A total of 545 isolates of Enterobacteriaceae from a variety of clinical and quality control isolates were identified by MicroflexTM MALDI-TOF MS and Vitek 2 Compact.The isolates were confirmed by 1 6S rDNA gene sequencing,and Salmonella was identified by serum agglutination test,if the identification results of the 2 systems didn′t match.Results The coincidence rates of 545 isolates of Enterobacteriaceae identified by MicroflexTM MALDI-TOF MS were 97.1 % to the species level and 2.9% to the genus level,respectively. The coincidence rates of 545 isolates of Enterobacteriaceae identified by Vitek 2 Compact were 83.3%,1 3.9% and 2.2% to the species,group and genus levels,respectively.The false rate was 0.2%,and the un-identification rate was 0.4%.Conclusions The identification coincidence rate of Enterobacteriaceae by Microflex

  4. Clothes Dryer Automatic Termination Evaluation

    Energy Technology Data Exchange (ETDEWEB)

    TeGrotenhuis, Ward E.

    2014-10-01

    Volume 2: Improved Sensor and Control Designs Many residential clothes dryers on the market today provide automatic cycles that are intended to stop when the clothes are dry, as determined by the final remaining moisture content (RMC). However, testing of automatic termination cycles has shown that many dryers are susceptible to over-drying of loads, leading to excess energy consumption. In particular, tests performed using the DOE Test Procedure in Appendix D2 of 10 CFR 430 subpart B have shown that as much as 62% of the energy used in a cycle may be from over-drying. Volume 1 of this report shows an average of 20% excess energy from over-drying when running automatic cycles with various load compositions and dryer settings. Consequently, improving automatic termination sensors and algorithms has the potential for substantial energy savings in the U.S.

  5. Uav-Based Automatic Tree Growth Measurement for Biomass Estimation

    Science.gov (United States)

    Karpina, M.; Jarząbek-Rychard, M.; Tymków, P.; Borkowski, A.

    2016-06-01

    Manual in-situ measurements of geometric tree parameters for the biomass volume estimation are time-consuming and economically non-effective. Photogrammetric techniques can be deployed in order to automate the measurement procedure. The purpose of the presented work is an automatic tree growth estimation based on Unmanned Aircraft Vehicle (UAV) imagery. The experiment was conducted in an agriculture test field with scots pine canopies. The data was collected using a Leica Aibotix X6V2 platform equipped with a Nikon D800 camera. Reference geometric parameters of selected sample plants were measured manually each week. In situ measurements were correlated with the UAV data acquisition. The correlation aimed at the investigation of optimal conditions for a flight and parameter settings for image acquisition. The collected images are processed in a state of the art tool resulting in a generation of dense 3D point clouds. The algorithm is developed in order to estimate geometric tree parameters from 3D points. Stem positions and tree tops are identified automatically in a cross section, followed by the calculation of tree heights. The automatically derived height values are compared to the reference measurements performed manually. The comparison allows for the evaluation of automatic growth estimation process. The accuracy achieved using UAV photogrammetry for tree heights estimation is about 5cm.

  6. UAV-BASED AUTOMATIC TREE GROWTH MEASUREMENT FOR BIOMASS ESTIMATION

    Directory of Open Access Journals (Sweden)

    M. Karpina

    2016-06-01

    Full Text Available Manual in-situ measurements of geometric tree parameters for the biomass volume estimation are time-consuming and economically non-effective. Photogrammetric techniques can be deployed in order to automate the measurement procedure. The purpose of the presented work is an automatic tree growth estimation based on Unmanned Aircraft Vehicle (UAV imagery. The experiment was conducted in an agriculture test field with scots pine canopies. The data was collected using a Leica Aibotix X6V2 platform equipped with a Nikon D800 camera. Reference geometric parameters of selected sample plants were measured manually each week. In situ measurements were correlated with the UAV data acquisition. The correlation aimed at the investigation of optimal conditions for a flight and parameter settings for image acquisition. The collected images are processed in a state of the art tool resulting in a generation of dense 3D point clouds. The algorithm is developed in order to estimate geometric tree parameters from 3D points. Stem positions and tree tops are identified automatically in a cross section, followed by the calculation of tree heights. The automatically derived height values are compared to the reference measurements performed manually. The comparison allows for the evaluation of automatic growth estimation process. The accuracy achieved using UAV photogrammetry for tree heights estimation is about 5cm.

  7. Automatic Coarse Graining of Polymers

    OpenAIRE

    Faller, Roland

    2003-01-01

    Several recently proposed semi--automatic and fully--automatic coarse--graining schemes for polymer simulations are discussed. All these techniques derive effective potentials for multi--atom units or super--atoms from atomistic simulations. These include techniques relying on single chain simulations in vacuum and self--consistent optimizations from the melt like the simplex method and the inverted Boltzmann method. The focus is on matching the polymer structure on different scales. Several ...

  8. Automatic Sarcasm Detection: A Survey

    OpenAIRE

    Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark James

    2016-01-01

    Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, sarcasm detection has witnessed great interest from the sentiment analysis community. This paper is the first known compilation of past work in automatic sarcasm detection. We observe three milestones in the research so far: semi-supervised pat...

  9. Prospects for de-automatization.

    Science.gov (United States)

    Kihlstrom, John F

    2011-06-01

    Research by Raz and his associates has repeatedly found that suggestions for hypnotic agnosia, administered to highly hypnotizable subjects, reduce or even eliminate Stroop interference. The present paper sought unsuccessfully to extend these findings to negative priming in the Stroop task. Nevertheless, the reduction of Stroop interference has broad theoretical implications, both for our understanding of automaticity and for the prospect of de-automatizing cognition in meditation and other altered states of consciousness.

  10. The automatization of journalistic narrative

    Directory of Open Access Journals (Sweden)

    Naara Normande

    2013-06-01

    Full Text Available This paper proposes an initial discussion about the production of automatized journalistic narratives. Despite being a topic discussed in specialized sites and international conferences in communication area, the concepts are still deficient in academic research. For this article, we studied the concepts of narrative, databases and algorithms, indicating a theoretical trend that explains this automatized journalistic narratives. As characterization, we use the cases of Los Angeles Times, Narrative Science and Automated Insights.

  11. Process automatization in system administration

    OpenAIRE

    Petauer, Janja

    2013-01-01

    The aim of the thesis is to present automatization of user management in company Studio Moderna. The company has grown exponentially in recent years, that is why we needed to find faster, easier and cheaper way of man- aging user accounts. We automatized processes of creating, changing and removing user accounts within Active Directory. We prepared user interface inside of existing application, used Java Script for drop down menus, wrote script in scripting programming langu...

  12. 40 CFR 80.521 - What are the standards and identification requirements for diesel fuel additives?

    Science.gov (United States)

    2010-07-01

    ... Motor Vehicle Diesel Fuel; Nonroad, Locomotive, and Marine Diesel Fuel; and ECA Marine Fuel Motor... consumer in diesel motor vehicles or nonroad diesel engines. ... identification requirements for diesel fuel additives? 80.521 Section 80.521 Protection of...

  13. Automatic registration method for mobile LiDAR data

    Science.gov (United States)

    Wang, Ruisheng; Ferrie, Frank P.

    2015-01-01

    We present an automatic mutual information (MI) registration method for mobile LiDAR and panoramas collected from a driving vehicle. The suitability of MI for registration of aerial LiDAR and aerial oblique images has been demonstrated under an assumption that minimization of joint entropy (JE) is a sufficient approximation of maximization of MI. We show that this assumption is invalid for the ground-level data. The entropy of a LiDAR image cannot be regarded as approximately constant for small perturbations. Instead of minimizing the JE, we directly maximize MI to estimate corrections of camera poses. Our method automatically registers mobile LiDAR with spherical panoramas over an approximate 4-km drive, and is the first example we are aware of that tests MI registration in a large-scale context.

  14. SCANNING VISION SYSTEM FOR VEHICLE NAVIGATION

    Directory of Open Access Journals (Sweden)

    O. Sergiyenko

    2012-01-01

    Full Text Available The new model of the scanning vision system for vehicles is offered. The questions of creation, functioning and interaction of the system units and elements are considered. The mathematical apparatus for processing digital information inside the system and for determining distances and an-gle standard in the offered system is worked out. Expected accuracy, functioning speed, range of ac-tion, energy consumption when using the system are determined. The possible areas of the developed automatic navigation system use are offered.

  15. Review on development progress of automatic manual transmissions control

    Institute of Scientific and Technical Information of China (English)

    ALI Amir Ibrahim; QIN Da-tong; ATTIA Nabil Abdulla

    2004-01-01

    In recent years, the sustainable development of automatic manual transmissions (AMTs) control in vehicles is conspicuous. The control applications have grown fast and steadily due to the tremendous progress in power electronics components and the control software that enhance the requirements for delivering higher vehicles performance. AMTs control strategies achieve a reduction in the driveline dynamic oscillations behavior during gear shifting and clutch starting up processes.AMTs future expectations are an increase of torque capacity, more speed ratios and the development of advanced and efficient electronic control systems. This paper concerns with the progressing view of AMTs in the past, today and future, gives an overview of the potential dynamic problems concerned with AMTs and some control strategies used to solve those problems.

  16. Design and Development of Vehicle anti-collision System using Electromagnet and Ultrasonic Sensors

    Directory of Open Access Journals (Sweden)

    Shival Dubey

    2013-06-01

    Full Text Available Electromagnetic anti-collision device is proposed here in order to avoid Vehicular Head to Head/Back collision that estimates the distance between the two vehicles running extreme traffic condition. It incorporates distance finding between two vehicles using ultrasonic range finder. The vehicle collision and its impact emerged as the major problem in the last two decades when the use of the automobile increased to a subsequent number. In order to avoid vehicle collision/ road accidents this system will work in two stages: - A Range finder will continuously track the distance between two vehicles moving and sends it to the ECM using these inputs if it finds the vehicle in the vicinity of the other it will automatically actuate the sensor strip for Electromagnetic Induction. This system is reliable, cost-efficient and fault tolerable. These characteristics enable the vehicle anti-collision in adaptive control environment.

  17. Comparison of yeast identification ability between Bruker Microflex MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system%比较 Bruker Microflex MALDI-TOF MS和 Vitek 2 Compact 全自动分析系统对酵母菌的鉴定能力

    Institute of Scientific and Technical Information of China (English)

    刘瑛; 俞静; 陈峰; 刘婧娴; 皇甫昱婵; 沈立松

    2015-01-01

    Objective To evaluate and compare yeast identification ability between Bruker Microflex matrix-assisted laser desorption ionization-time of flight mass spectrometry( MALDI-TOF MS) and Vitek 2 Compact automatic microbial analysis system.Methods Retrospective study.Totally 742 strains of yeast isolated from clinical specimens during March 2013 to March 2014 in Xinhua Hospital, Shanghai Jiao Tong University School of Medicine were identified by Bruker Microflex MALDI-TOF MS and Vitek 2 Compact automatic microbial analysis system simultaneously.The strains with discordant results were validated by gene sequencing.Results The coincidence rate of 699 Candida identified by Bruker Microflex MALDI-TOF MS or Vitek 2 Compact system was 100.0%(699/699) and 99.6%(696/699) to the species level, respectively and the coincidence rate of 43 yeast-like fungi strains identified was 90.7%(39/43) and 79.1%(34/43) to the species level, respectively.Penicillium marneffei could not be identified by both two instruments, but protein profile of Penicillium marneffei by MALDI-TOF MS was established.Conclusions The coincidence rate of yeast identified by Bruker Microflex MALDI-TOF MS is higher than that of Vitek 2 Compact system.Using Bruker Microflex MALDI-TOF MS to identify yeast especially Candida and yeast-like fungus is fast, simple, low-cost, accurate, and it can be used in routine work of ordinary yeast identification in clinical microbiology laboratory.%目的:比较Bruker Microflex MALDI-TOF MS和Vitek 2 Compact全自动微生物分析系统对酵母菌的鉴定能力。方法回顾性研究。利用 Bruker Microflex MALDI-TOF MS 和 Vitek 2 Compact全自动微生物分析系统同时对2013年3月至2014年3月上海交通大学医学院附属新华医院临床标本分离得到的742株酵母菌进行鉴定,结果不符菌株用基因测序予以确证。结果 Bruker Microflex MALDI-TOF MS和Vitek 2 Compact全自动微生物分析系统对699株念珠菌的

  18. An Integrative Approach to Accurate Vehicle Logo Detection

    Directory of Open Access Journals (Sweden)

    Hao Pan

    2013-01-01

    required for many applications in intelligent transportation systems and automatic surveillance. The task is challenging considering the small target of logos and the wide range of variability in shape, color, and illumination. A fast and reliable vehicle logo detection approach is proposed following visual attention mechanism from the human vision. Two prelogo detection steps, that is, vehicle region detection and a small RoI segmentation, rapidly focalize a small logo target. An enhanced Adaboost algorithm, together with two types of features of Haar and HOG, is proposed to detect vehicles. An RoI that covers logos is segmented based on our prior knowledge about the logos’ position relative to license plates, which can be accurately localized from frontal vehicle images. A two-stage cascade classier proceeds with the segmented RoI, using a hybrid of Gentle Adaboost and Support Vector Machine (SVM, resulting in precise logo positioning. Extensive experiments were conducted to verify the efficiency of the proposed scheme.

  19. The development of structures and the prospects of automatic transmissions

    Directory of Open Access Journals (Sweden)

    O. I. Girutskiy

    2014-01-01

    Full Text Available At the present stage development of transport technology has a rapid change of production models along with intensification of modification processes of vehicles, increasing number of new developments thereby providing vehicles with higher consumer qualities and competitiveness at the markets. Automation control of car transmissions is an important task. It raises the life of the engine and transmission, increased permeability and comfort due to a smoother change of torque to the drive wheels, driving off, and acceleration, etc.The article analyzes the promising schemes rotary shaft and planetary gearboxes of leading companies in the world automotive industry, the advantages of automated transmissions. It offers the prospects of creating the control systems of transmissions based on artificial intelligence methods.To design modern vehicles equipped with automatically controlled fluid transmission is a challenge. It requires various technologies to be applied using new technical solutions and scientific principles. An analysis to solve the problem of automation control of various technical objects shows that the classical theory of automatic control does not allow taking into account the diversity of vehicles operating conditions. In this regard, the effectiveness of the systems based on its scientific principles becomes often lower than expected.Implementation of modern design technology is based on a number of scientific and philosophical principles. The most important and most common of them is the principle of hierarchy, which means to structure representations of objects by degree of detailed descriptions and the principle of decomposition (blocking, which means to decompose representations of each level on the number of components (blocks with the possibility for the separate (sub-block designing.In order to create a design of control systems for the cars and synthesize its control algorithms within the framework of the developed concept

  20. Parametric Testing of Launch Vehicle FDDR Models

    Science.gov (United States)

    Schumann, Johann; Bajwa, Anupa; Berg, Peter; Thirumalainambi, Rajkumar

    2011-01-01

    For the safe operation of a complex system like a (manned) launch vehicle, real-time information about the state of the system and potential faults is extremely important. The on-board FDDR (Failure Detection, Diagnostics, and Response) system is a software system to detect and identify failures, provide real-time diagnostics, and to initiate fault recovery and mitigation. The ERIS (Evaluation of Rocket Integrated Subsystems) failure simulation is a unified Matlab/Simulink model of the Ares I Launch Vehicle with modular, hierarchical subsystems and components. With this model, the nominal flight performance characteristics can be studied. Additionally, failures can be injected to see their effects on vehicle state and on vehicle behavior. A comprehensive test and analysis of such a complicated model is virtually impossible. In this paper, we will describe, how parametric testing (PT) can be used to support testing and analysis of the ERIS failure simulation. PT uses a combination of Monte Carlo techniques with n-factor combinatorial exploration to generate a small, yet comprehensive set of parameters for the test runs. For the analysis of the high-dimensional simulation data, we are using multivariate clustering to automatically find structure in this high-dimensional data space. Our tools can generate detailed HTML reports that facilitate the analysis.

  1. Building Point Detection from Vehicle-Borne LiDAR Data Based on Voxel Group and Horizontal Hollow Analysis

    Directory of Open Access Journals (Sweden)

    Yu Wang

    2016-05-01

    Full Text Available Information extraction and three-dimensional (3D reconstruction of buildings using the vehicle-borne laser scanning (VLS system is significant for many applications. Extracting LiDAR points, from VLS, belonging to various types of building in large-scale complex urban environments still retains some problems. In this paper, a new technical framework for automatic and efficient building point extraction is proposed, including three main steps: (1 voxel group-based shape recognition; (2 category-oriented merging; and (3 building point identification by horizontal hollow ratio analysis. This article proposes a concept of “voxel group” based on the voxelization of VLS points: each voxel group is composed of several voxels that belong to one single real-world object. Then the shapes of point clouds in each voxel group are recognized and this shape information is utilized to merge voxel group. This article puts forward a characteristic nature of vehicle-borne LiDAR building points, called “horizontal hollow ratio”, for efficient extraction. Experiments are analyzed from two aspects: (1 building-based evaluation for overall experimental area; and (2 point-based evaluation for individual building using the completeness and correctness. The experimental results indicate that the proposed framework is effective for the extraction of LiDAR points belonging to various types of buildings in large-scale complex urban environments.

  2. 75 FR 76692 - Federal Motor Vehicle Safety Standards; Small Business Impacts of Motor Vehicle Safety

    Science.gov (United States)

    2010-12-09

    ..., and 571 Federal Motor Vehicle Safety Standards; Small Business Impacts of Motor Vehicle Safety AGENCY... passenger vehicles, trucks, buses, trailers, incomplete vehicles, motorcycles, and motor vehicle...

  3. 基于传声器阵列技术的定置汽车噪声源识别%Noise Source Identification of Customized Vehicles based on Microphone Array Technology

    Institute of Scientific and Technical Information of China (English)

    许春民; 田金鑫; 王二保

    2012-01-01

    随着人们对汽车噪声的日益关注和汽车噪声限制标准的日渐严格,控制汽车噪声已经成为汽车工业发展中一项重要而又紧迫的任务。文章基于均匀圆形传声器阵列技术,采用MUSIC空间谱估计算法,对某型轿车定置状态时不同转速下分别进行噪声源识别,找出其主要噪声源和声场分布特性,为进一步控制汽车噪声提供依据。试验结果表明:传声器阵列技术能够快速有效地进行汽车噪声源识别和定位。%With people's increasing concern on vehicle noise and strict control of vehicle noise limits standard, decreasing vehicle noise has become an important and urgent task in automotive industry development. Based on uniform circular microphone array technology and using MUSIC spatial spectrum estimation algorithm, noise source is identified according to different speed with customized state so as to find main noise source and distribution characteristics of acoustic field. It provides reference for further control of vehicle noise. The test results showed that the microphone array technology can identify and position the noise source quickly and efficiently.

  4. Hydrodynamic Coefficients Identification for the Horizontal Plane Motion of the Underwater Vehicle Using NSGA-II Algorithm%基于NSGA-II算法的水下机器人水平面运动参数辨识

    Institute of Scientific and Technical Information of China (English)

    李庆梅; 刘平; 潘芳煜; 梁彩平; 周平

    2016-01-01

    水下机器人水动力系数的获得是分析其运动及设计控制器的基础。由于水下机器人水平面具有运动强耦合、非线性的特点,采用简单遗传算法来辨识水动力系数时无法使得多个目标函数同时达到最优,所以采用带精英策略非支配排序遗传算法(NSGA-II)来对水平面运动模型进行辨识。利用辨识得到的系数反求水下机器人水平面速度,仿真速度与实测速度曲线吻合较好,表明NSGA-II辨识得到的水动力系数是有效的。%Hydrodynamic coefficients are the basis of motion analysis and controller design for the underwater vehicle. The horizontal motion of the underwater vehicle is highly coupled and nonlinear, so it is difficult to achieve the optimal results for all the objective functions at the same time when using simple genetic algorithm to identify its coefficients. As an alternative, the elitist non-dominated sorting genetic algorithm (NSGA-II) is chosen to identify the hydrodynamic coefficients of the motion in the horizontal plane. The coefficients identified by NSGA-II are then used to calculate the velocities of the underwater vehicle and they are approach to the velocities measured by sensors on the underwater vehicle. It is proved that the method used is effective.

  5. Child vocalization composition as discriminant information for automatic autism detection.

    Science.gov (United States)

    Xu, Dongxin; Gilkerson, Jill; Richards, Jeffrey; Yapanel, Umit; Gray, Sharmi

    2009-01-01

    Early identification is crucial for young children with autism to access early intervention. The existing screens require either a parent-report questionnaire and/or direct observation by a trained practitioner. Although an automatic tool would benefit parents, clinicians and children, there is no automatic screening tool in clinical use. This study reports a fully automatic mechanism for autism detection/screening for young children. This is a direct extension of the LENA (Language ENvironment Analysis) system, which utilizes speech signal processing technology to analyze and monitor a child's natural language environment and the vocalizations/speech of the child. It is discovered that child vocalization composition contains rich discriminant information for autism detection. By applying pattern recognition and machine learning approaches to child vocalization composition data, accuracy rates of 85% to 90% in cross-validation tests for autism detection have been achieved at the equal-error-rate (EER) point on a data set with 34 children with autism, 30 language delayed children and 76 typically developing children. Due to its easy and automatic procedure, it is believed that this new tool can serve a significant role in childhood autism screening, especially in regards to population-based or universal screening.

  6. TARDEC Ground Vehicle Robotics

    Science.gov (United States)

    2013-05-30

    TARDEC Ground Vehicle Robotics Mr. Jim Parker, Associate Director Dr. Greg Hudas, Chief Engineer UNCLASSIFIED: Distribution Statement A (OPSEC...TARDEC Ground Vehicle Robotics 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Jim Parker; Greg Hudas 5d. PROJECT...Provide Transition-Ready, Cost-Effective, and Innovative Robotics and Control System Solutions for Manned, Optionally-Manned, and Unmanned Ground Vehicles

  7. Ground Vehicle Robotics

    Science.gov (United States)

    2013-08-20

    Ground Vehicle Robotics Jim Parker Associate Director, Ground Vehicle Robotics UNCLASSIFIED: Distribution Statement A. Approved for public...DATE 20 AUG 2013 2. REPORT TYPE Briefing Charts 3. DATES COVERED 09-05-2013 to 15-08-2013 4. TITLE AND SUBTITLE Ground Vehicle Robotics 5a...Willing to take Risk on technology -User Evaluated -Contested Environments -Operational Data Applied Robotics for Installation & Base Ops -Low Risk

  8. Electric Vehicle Propulsion System

    OpenAIRE

    2014-01-01

    Electric vehicles are being considered as one of the pillar of eco-friendly solutions to overcome the problem of global pollution and radiations due to greenhouse gases. Present thesis work reports the improvement in overall performance of the propulsion system of an electric vehicle by improving autonomy and torque-speed characteristic. Electric vehicle propulsion system consists of supply and traction system, and are coordinated by the monitoring & control system. Case of light electric veh...

  9. Development of a DC propulsion system for an electric vehicle

    Science.gov (United States)

    Kelledes, W. L.

    1984-01-01

    The suitability of the Eaton automatically shifted mechanical transaxle concept for use in a near-term dc powered electric vehicle is evaluated. A prototype dc propulsion system for a passenger electric vehicle was designed, fabricated, tested, installed in a modified Mercury Lynx vehicle and track tested at the contractor's site. The system consisted of a two-axis, three-speed, automatically-shifted mechanical transaxle, 15.2 Kw rated, separately excited traction motor, and a transistorized motor controller with a single chopper providing limited armature current below motor base speed and full range field control above base speed at up to twice rated motor current. The controller utilized a microprocessor to perform motor and vehicle speed monitoring and shift sequencing by means of solenoids applying hydraulic pressure to the transaxle clutches. Bench dynamometer and track testing was performed. Track testing showed best system efficiency for steady-state cruising speeds of 65-80 Km/Hz (40-50 mph). Test results include acceleration, steady speed and SAE J227A/D cycle energy consumption, braking tests and coast down to characterize the vehicle road load.

  10. Fast reconstruction of an unmanned engineering vehicle and its application to carrying rocket

    Directory of Open Access Journals (Sweden)

    Jun Qian

    2014-04-01

    Full Text Available Engineering vehicle is widely used as a huge moving platform for transporting heavy goods. However, traditional human operations have a great influence on the steady movement of the vehicle. In this Letter, a fast reconstruction process of an unmanned engineering vehicle is carried out. By adding a higher-level controller and two two-dimensional laser scanners on the moving platform, the vehicle could perceive the surrounding environment and locate its pose according to extended Kalman filter. Then, a closed-loop control system is formed by communicating with the on-board lower-level controller. To verify the performance of automatic control system, the unmanned vehicle is automatically navigated when carrying a rocket towards a launcher in a launch site. The experimental results show that the vehicle could align with the launcher smoothly and safely within a small lateral deviation of 1 cm. This fast reconstruction presents an efficient way of rebuilding low-cost unmanned special vehicles and other automatic moving platforms.

  11. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming focuses on the techniques of automatic programming used with digital computers. Topics covered range from the design of machine-independent programming languages to the use of recursive procedures in ALGOL 60. A multi-pass translation scheme for ALGOL 60 is described, along with some commercial source languages. The structure and use of the syntax-directed compiler is also considered.Comprised of 12 chapters, this volume begins with a discussion on the basic ideas involved in the description of a computing process as a program for a computer, expressed in

  12. Algorithms for skiascopy measurement automatization

    Science.gov (United States)

    Fomins, Sergejs; Trukša, Renārs; KrūmiĆa, Gunta

    2014-10-01

    Automatic dynamic infrared retinoscope was developed, which allows to run procedure at a much higher rate. Our system uses a USB image sensor with up to 180 Hz refresh rate equipped with a long focus objective and 850 nm infrared light emitting diode as light source. Two servo motors driven by microprocessor control the rotation of semitransparent mirror and motion of retinoscope chassis. Image of eye pupil reflex is captured via software and analyzed along the horizontal plane. Algorithm for automatic accommodative state analysis is developed based on the intensity changes of the fundus reflex.

  13. Automatic Construction of Finite Algebras

    Institute of Scientific and Technical Information of China (English)

    张健

    1995-01-01

    This paper deals with model generation for equational theories,i.e.,automatically generating (finite)models of a given set of (logical) equations.Our method of finite model generation and a tool for automatic construction of finite algebras is described.Some examples are given to show the applications of our program.We argue that,the combination of model generators and theorem provers enables us to get a better understanding of logical theories.A brief comparison betwween our tool and other similar tools is also presented.

  14. Automatic mapping of monitoring data

    DEFF Research Database (Denmark)

    Lophaven, Søren; Nielsen, Hans Bruun; Søndergaard, Jacob

    2005-01-01

    This paper presents an approach, based on universal kriging, for automatic mapping of monitoring data. The performance of the mapping approach is tested on two data-sets containing daily mean gamma dose rates in Germany reported by means of the national automatic monitoring network (IMIS......). In the second dataset an accidental release of radioactivity in the environment was simulated in the South-Western corner of the monitored area. The approach has a tendency to smooth the actual data values, and therefore it underestimates extreme values, as seen in the second dataset. However, it is capable...

  15. 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.

  16. Full-Automatic Parking registration and payment

    DEFF Research Database (Denmark)

    Agerholm, Niels; Lahrmann, Harry; Jørgensen, Brian

    2014-01-01

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

  17. Northwest passage: Trade route for large air cushion vehicles

    Science.gov (United States)

    Anderson, J. L.

    1973-01-01

    A conceptual vehicle and powerplant (10,000-ton) nuclear-powered air-cushion vehicle (ACV) that could open the Northwest Passage and other Arctic passages to commercial traffic is identified. The report contains a description of the conceptual vehicle, including the powerplant and operations, an assessment of technical feasibility, estimates of capital and operating costs, and identification of eligible cargo and markets. A comparison of the nuclear ACV freighter with nuclear container ships shows that for containerized or roll-on/roll-off cargo the ACV would provide greatly reduced transit time between North Atlantic and North Pacific ports at a competitive cost.

  18. Early automatic detection of Parkinson's disease based on sleep recordings

    DEFF Research Database (Denmark)

    Kempfner, Jacob; Sorensen, Helge B D; Nikolic, Miki;

    2014-01-01

    SUMMARY: Idiopathic rapid-eye-movement (REM) sleep behavior disorder (iRBD) is most likely the earliest sign of Parkinson's Disease (PD) and is characterized by REM sleep without atonia (RSWA) and consequently increased muscle activity. However, some muscle twitching in normal subjects occurs...... the number of outliers during REM sleep was used as a quantitative measure of muscle activity. RESULTS: The proposed method was able to automatically separate all iRBD test subjects from healthy elderly controls and subjects with periodic limb movement disorder. CONCLUSION: The proposed work is considered...... during REM sleep. PURPOSE: There are no generally accepted methods for evaluation of this activity and a normal range has not been established. Consequently, there is a need for objective criteria. METHOD: In this study we propose a full-automatic method for detection of RSWA. REM sleep identification...

  19. Automatic denoising of single-trial evoked potentials.

    Science.gov (United States)

    Ahmadi, Maryam; Quian Quiroga, Rodrigo

    2013-02-01

    We present an automatic denoising method based on the wavelet transform to obtain single trial evoked potentials. The method is based on the inter- and intra-scale variability of the wavelet coefficients and their deviations from baseline values. The performance of the method is tested with simulated event related potentials (ERPs) and with real visual and auditory ERPs. For the simulated data the presented method gives a significant improvement in the observation of single trial ERPs as well as in the estimation of their amplitudes and latencies, in comparison with a standard denoising technique (Donoho's thresholding) and in comparison with the noisy single trials. For the real data, the proposed method largely filters the spontaneous EEG activity, thus helping the identification of single trial visual and auditory ERPs. The proposed method provides a simple, automatic and fast tool that allows the study of single trial responses and their correlations with behavior.

  20. Entrance C - New Automatic Number Plate Recognition System

    CERN Multimedia

    2013-01-01

    Entrance C (Satigny) is now equipped with a latest-generation Automatic Number Plate Recognition (ANPR) system and a fast-action road gate.   During the month of August, Entrance C will be continuously open from 7.00 a.m. to 7.00 p.m. (working days only). The security guards will open the gate as usual from 7.00 a.m. to 9.00 a.m. and from 5.00 p.m. to 7.00 p.m. For the rest of the working day (9.00 a.m. to 5.00 p.m.) the gate will operate automatically. Please observe the following points:       Stop at the STOP sign on the ground     Position yourself next to the card reader for optimal recognition     Motorcyclists must use their CERN card     Cyclists may not activate the gate and should use the bicycle turnstile     Keep a safe distance from the vehicle in front of you   If access is denied, please check that your vehicle regist...