2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications最新文献

Hybrid filtering for map-aided vehicle navigation 地图辅助车辆导航的混合滤波

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250747

C. Boucher, J. Noyer

{"title":"Hybrid filtering for map-aided vehicle navigation","authors":"C. Boucher, J. Noyer","doi":"10.1109/CIMSA.2006.250747","DOIUrl":"https://doi.org/10.1109/CIMSA.2006.250747","url":null,"abstract":"In order to provide an accurate positioning, the land-vehicle navigation applications are based on GPS. The addition of a digital road map allows to locate the vehicle continuously and helps the driver to get the best path. These systems are usually enhanced with dead reckoning sensors due to GPS outages in urban areas especially. For instance, the odometer sensors can be used to correct the vehicle location in this case. We present here a global estimation method to solve the fusion problem of the GPS, odometer and digital road map measurements in presence of GPS outages. It relies on a hybrid filter which takes advantage of the combination of a Kalman filter which computes the linear part of the state equations and a particle filter to provide an optimal resolution scheme. When GPS fails, the filter fuses all available pseudo-range measures to improve the vehicle positioning. In the case of an urban transport scenario, the results show that the number of particles is significantly reduced to achieve the same performance of a single particle filter in terms of accuracy. Moreover, software solutions can be developed for real-time applications","PeriodicalId":431033,"journal":{"name":"2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Fuzzy Control of an Inverted Pendulum using AC Induction Motor Actuator 采用交流感应电机作动器的倒立摆模糊控制

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250767

H. Marzi

{"title":"Fuzzy Control of an Inverted Pendulum using AC Induction Motor Actuator","authors":"H. Marzi","doi":"10.1109/CIMSA.2006.250767","DOIUrl":"https://doi.org/10.1109/CIMSA.2006.250767","url":null,"abstract":"It has been proven that fuzzy controllers are capable of controlling non-linear systems where it is cumbersome to develop conventional controllers based on mathematical modeling. This article describes designing fuzzy controllers for an inverted pendulum. It compares performance of two controllers designed based on Mamdani and Takagi-Sugeno in a short track length, following a high disturbance. The work then focuses on the AC electrical motor that produces the torque required for the horizontal movements of the inverted pendulum. A simplified control model for the AC motor is used which includes the motor's time constant as the crucial parameter in producing rapid responses to the disturbances. In the currently modeling of fuzzy controllers for the inverted pendulum, the input to the pendulum block is a torque. This torque is produced by an electrical motor which is not included in the model. A disadvantage in this modeling is that the electrical motor dynamics is not built-in in the control system independently. Here, a simplified model of an AC electrical motor is incorporated to the system. The electrical motor receives its inputs as current or voltage and produces a torque as output to control the balance of the inverted pendulum. The new approach in modeling a fuzzy control system assists in 1) examining use of AC motors in producing rapid response, 2) selecting sensitive parameters for an optimum high performance electrical motor capable to stabilize the inverted pendulum system and 3) designing a Takagi-Sugeno type fuzzy controller","PeriodicalId":431033,"journal":{"name":"2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128919917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Particle Size Distribution from Combined Light Scattering Measurements. A Neural Network Approach for Solving the Inverse Problem 结合光散射测量的粒度分布。求解逆问题的神经网络方法

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250762

G. Stegmayer, O. Chiotti, L. Gugliotta, J. Vega

引用次数: 3

Genetic Techniques for Pattern Extraction in Particle Boards Images 粒子板图像模式提取的遗传技术

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250761

M. Gamassi, V. Piuri, F. Scotti, M. Roveri

引用次数: 6

Modeling Technology for One Class of Multi-Agent Systems with Automata Based Programming 一类基于自动机编程的多智能体系统建模技术

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250740

Dmitry Paraschenko, A. Shalyto, F. Tsarev

引用次数: 5

Measurement and Comparison of Non-verbal Behavior and Cognitive Behavior in Human Resource Management - Application in Sales Recruitment 人力资源管理中非语言行为与认知行为的测量与比较——在销售招聘中的应用

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250749

R. Khosla, C. Lai, Mei-Tai Chu

引用次数: 1

Support Vector Machine Detection of Peer-to-Peer Traffic 点对点流量支持向量机检测

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250766

F. González-Castaño, P. Rodríguez-Hernández, R. Martínez-Álvarez, A. Gómez, I. López-Cabido, J. Villasuso-Barreiro

引用次数: 9

Velocity Measurement by a Vision Sensor 用视觉传感器测量速度

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250771

S. Malki, G. DeepaK., V. Mohanna, M. Ringhofer, L. Spaanenburg

引用次数: 12

Multiple Waypoint Path Planning for a Mobile Robot using Genetic Algorithms 基于遗传算法的移动机器人多路径规划

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250741

T. Davies, A. Jnifene

引用次数: 22

A Computational Intelligence Application for Environmental Measurements by a DSP-Based Smart Web-Sensor 基于dsp的智能网络传感器在环境测量中的应用

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI: 10.1109/CIMSA.2006.250743

C. De Capua, A. Battaglia, A. Liccardo, R. Morello

{"title":"A Computational Intelligence Application for Environmental Measurements by a DSP-Based Smart Web-Sensor","authors":"C. De Capua, A. Battaglia, A. Liccardo, R. Morello","doi":"10.1109/CIMSA.2006.250743","DOIUrl":"https://doi.org/10.1109/CIMSA.2006.250743","url":null,"abstract":"In this paper the authors propose an intelligent and stand-alone measurement instrument for environmental monitoring and control applications. By an embedded computational intelligence technique, the instrument can acquire and test data according to available information. The projected system consists in a smart Web-sensor sensing the electromagnetic field exposure levels. The sensor equipment includes an isotropic magnetic field transducer, a GPRS modem, a DSP platform and an interface display. In details, the realized measurement system is able to process acquired signals by performing mathematical algorithms in order to verify the conformity with the law exposure limits and to characterize possible alarm occurrences. The data processing stage is qualified by a further power-spectrum analysis, that allows to get information in the frequency domain on the electromagnetic field spectral components. Information regarding the operating status of sensor is stored in an internal embedded memory, so keeping trace on its metrological characterization. In this way the built-in knowledge on the integrity of acquired data is used to guarantee the reliability of the computational process","PeriodicalId":431033,"journal":{"name":"2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125774178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1