{"title":"The Analysis of Sewers Inflammable Gas Based on PSO-SVR","authors":"Wang Hong-qi, Cheng Xin-wen, Jiang Hua-long","doi":"10.1109/IMCCC.2013.134","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.134","url":null,"abstract":"Due to the non-liner, poor selectivity and cross-sensitivity of the combustible gas in the sewer, an analysis prediction model of the combustible gas in the sewer has been established based on the PSO-SVR machine, the model has introduced a new particle swarm algorithm to support the vector regression machine so that it can optimize the important parameters, realizing the automatic determination of parameters of the SVR machine, and be used for quantitative analysis of combustible gas in the sewer. The simulation results show that the model of the combustible gas in the sewer based on PSO-SVR machine is superior to the compared SVR model and it has better generalization performance and higher prediction accuracy.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114364328","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}
{"title":"Adaptive Tracking Control of Hypersonic Re-entry Vehicle with Uncertain Parameters","authors":"Chen Bai, Chengbin Lian, Z. Ren, Yao Fan, P. Qi","doi":"10.1109/IMCCC.2013.354","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.354","url":null,"abstract":"The problem of hypersonic re-entry vehicle attitude control with uncertain parameters is addressed. Aimed at a class of affine nonlinear system, adaptive control with observer is proposed. It is proved that observer error of uncertain parameters and tracking error of system output can uniformly asymptotically converge to zero. For implementation on hypersonic re-entry vehicle, two-loop attitude control is designed with aerodynamic derivatives considered as uncertain parameters. Simulations on 6DOF model of HRV show that the proposed adaptive control can keep good tracking performance in case of uncertain parameters.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114637170","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}
{"title":"Ant Colony Algorithm and Its Application in Solving the Traveling Salesman Problem","authors":"Shi-gang Cui, Shaolong Han","doi":"10.1109/IMCCC.2013.266","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.266","url":null,"abstract":"With the modernization of the rapid development of science and technology, high technology has been more and more widely applied. Ant colony algorithm is a novel category of bionic meta-heuristic system and parallel computation and positive feedback mechanism are adopted in this algorithm. Ant colony algorithm, which has strong robustness and is easy to combine with other methods in optimization, has wide application in various combined optimization fields, but the basic ant colony algorithm is of slow convergence and easy to stagnation and easily converges to local solutions. many scholars did a lot of effort to improve these weaknesses, but the research still needs improving. This paper expounds the basic principle, model, advantages and disadvantages of ant colony algorithm and the TSP problem, the concrete realization process of ant colony algorithm is put forward in solving traveling salesman problem and the simulation shows that solution is feasible.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121620694","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}
{"title":"Optimal Dispatch Considering the Ability of Active Power Control of Wind Farms","authors":"Wei Wang, Guogang Jin, Ying Wang, Yanping Xu, Kaifeng Zhang","doi":"10.1109/IMCCC.2013.327","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.327","url":null,"abstract":"Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114028812","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}
{"title":"Cabin Temperature Control System Simulation of Transportation Aircraft","authors":"Zhang Jian, Hao Guihe, Zhanglong Jing","doi":"10.1109/IMCCC.2013.373","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.373","url":null,"abstract":"Temperature control system of aircraft cabin is a large time-constant, nonlinear and time-varying complex system, and the accurate mathematical model of the controlled object is hard to establish. So it is difficult to achieve satisfying control effect by means of the traditional temperature control method. According to this situation, a new approach of cabin temperature control is proposed in this paper. A fuzzy controller is designed on the basis of the original temperature control system to realize cabin temperature compensation control. Simulation results show that the system with the fuzzy controller has better dynamic-response characteristics, comparing with the system using traditional control methods. The new cabin temperature control system has characteristics of smaller overshoot, fast transient time, and higher control accuracy in its controlling process.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124469758","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}
{"title":"The BIM in Green Architectural Design Software Investigation","authors":"Peng Zhang, Xiao-xia Ma, Jingjin Zhong","doi":"10.1109/IMCCC.2013.185","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.185","url":null,"abstract":"It discussed the problems existed in the current green architectuarl design software combining with the architectural design process and green building evaluation standards in this paper. The architecture of constructing system frame for green architectural design software are analyzed. We put forward that BIM technology is an affective method to keep data consistent, data unique and to share resources in green architectural design software. The functions of building information model and corresponding data content in different stage of a building life cycle are discussed according to the green building evaluation standard. The concept of extended BIM are put forward through the analysis of BIM used in energy simulation software. The resaerch on BIM should be pay more attention.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000889","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}
{"title":"Dynamic Large Terrain Rendering Algorithm in Aircraft Simulation Based on the ROAM Algorithm","authors":"Tian Feng, Du Rixu, Sun Fengqin, Feng Zhulei","doi":"10.1109/IMCCC.2013.115","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.115","url":null,"abstract":"According to the characteristics of aircraft simulation, we have designed a dynamic terrain rendering algorithm in aircraft simulation based on the ROAM algorithm. The algorithm uses three-level-simplify strategy. First, choose the level of the blocks according to different height between the viewpoint and the terrain blocks. Then tailor the terrain blocks on the level. Finally, perform simplification on the blocks we selected with the traditional ROAM algorithm to build the triangular grid.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132787673","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}
Chuai Rongyan, Wang Jian, Zhao Hao, Y. Lijian, D. Quan
{"title":"Design of Polysilicon Nano-film Pressure Sensitive Chip Structure","authors":"Chuai Rongyan, Wang Jian, Zhao Hao, Y. Lijian, D. Quan","doi":"10.1109/IMCCC.2013.83","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.83","url":null,"abstract":"In order to effectively applied mechanical properties of polysilicon and piezoresistive properties of polysilicon Nano-films to pressure sensors, the sacrificial layer pressure sensor with polysilicon Nano-film piezoresistors and polysilicon diaphragm is designed and developed. The sensor structure is designed by finite element software. The cavity height is determined for overload protection. The sensor samples are developed by design structure. The samples test results show that: span is 0~2.5MPa, working temperature range is -40~200°C, full-scale output voltage is 362mV, hysteresis is 0.2%, repeatability is 0.16%, nonlinear is 0.13%, thermal zero drift is 0.01% FS/°C, thermal sensitivity drift is 0.1% FS/°C and overload capacity is more than 10MPa. A feasible way is provided for the development of high sensitivity, low temperature drift, low cost and integrated pressure sensor.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761780","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}
{"title":"The Moving Vehicle Detection and Tracking System Based on Video Image","authors":"Huang Huijie, Xu Chao, Zhao Jun, G. Wenjun","doi":"10.1109/IMCCC.2013.283","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.283","url":null,"abstract":"With the rapid development of motorized transportation, intelligent transportation systems have become increasingly important. Intelligent video surveillance system, as an important part of intelligent transportation subsystem, usually used in some important transportation regional, monitoring a certain period through a fixed camera. It is with great importance to achieve detection and real-time tracking of vehicles in video sequence. This paper focuses on studying the methods of the moving vehicles detection and tracking in traffic scene, considering the impact of shadow in video image, illumination changes and vehicles partially occluded.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937403","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}
{"title":"Study of Iterative Guidance Mode for Lunar Ascent","authors":"Wangwang Liu, Shengying Zhu, Weiren Wu, Zhe Zhang","doi":"10.1109/IMCCC.2013.120","DOIUrl":"https://doi.org/10.1109/IMCCC.2013.120","url":null,"abstract":"Lunar ascent guidance is one of the key points for future lunar sample return and manned missions. This paper discusses the practicability of using iterative guidance mode for lunar ascent. The lunar ascent in this paper begins with a vertical rise followed by a single axis rotation and then a guided phase. The three-dimensional equations of motion for lunar ascent are derived over a flat moon with a uniform gravity field to extract the optimal control problem. Then the iterative guidance mode is deduced and extended for ascent over a spherical moon. Simulation results show that this guidance scheme satisfies all the final conditions with high accuracy. It is a feasible and effective guidance law for lunar ascent which merits consideration for actual application.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133387519","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}