Hydro-Mechanicai continuously variable transmission (HMCVT) performance test simulation method is proposed. Establish HMCVT test simulation model using AVL CURISE of the forward simulation software and design of HMCVT loading control strategy using SIMULINK based on the analysis of HMCVT performance and its test principle, Through the INTERFACE communication model and the control strategy, The transient simulation of HMCVT three working modes of loading. Transient loading of HMCVT simulation system for the transient response of HMCVT is satisfied and given the assessment for the speed characteristic and efficiency characteristic of HMCVT. The results show that the simulation testing of the HMCVT performance tests based on AVL CURISE, There is a transient characteristic and speed characteristic, efficiency characteristic is superior to the traditional transmission, Has a certain application value for the development of HMCVT dynamic test system.
{"title":"The Simulation Study of Vehicle Hydro-Mechanicai Continuously Variable Transmission Test Based on AVL CRUISE","authors":"Xiong Jianguo, Zhou Zhili, Li Yan","doi":"10.1109/IHMSC.2015.100","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.100","url":null,"abstract":"Hydro-Mechanicai continuously variable transmission (HMCVT) performance test simulation method is proposed. Establish HMCVT test simulation model using AVL CURISE of the forward simulation software and design of HMCVT loading control strategy using SIMULINK based on the analysis of HMCVT performance and its test principle, Through the INTERFACE communication model and the control strategy, The transient simulation of HMCVT three working modes of loading. Transient loading of HMCVT simulation system for the transient response of HMCVT is satisfied and given the assessment for the speed characteristic and efficiency characteristic of HMCVT. The results show that the simulation testing of the HMCVT performance tests based on AVL CURISE, There is a transient characteristic and speed characteristic, efficiency characteristic is superior to the traditional transmission, Has a certain application value for the development of HMCVT dynamic test system.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"06 1","pages":"117-121"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88217587","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}
Litong Jia, Q. Gao, Yuan-long Hou, Zhiyuan Jia, L. Jin, Kang Li
For certain balance and positioning of electro-hydraulic servo system existing nonlinear, the active disturbance rejection control (ADRC) has many adjustable parameters which are difficult to regulate, so active disturbance rejection control with neural network (NN-ADRC) is developed in this paper. The method uses neural network self-learning ability, through a single neuron adaptive configuration parameters to complete an online self-tuning parameters, while taking advantage of RBF neural network as identifier to identify the controlled object gradient information. Simulation results show that: the controller parameters are reduced significantly, and effectively inhibit the system unbalance force disturbance and realize the accurate positioning. It also has fast response speed, no overshoot, and high steady-state accuracy.
{"title":"Active Disturbance Rejection Control of Certain Balanced and Positioning Electro-Hydraulic Servo System Based on Neural Network","authors":"Litong Jia, Q. Gao, Yuan-long Hou, Zhiyuan Jia, L. Jin, Kang Li","doi":"10.1109/IHMSC.2015.207","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.207","url":null,"abstract":"For certain balance and positioning of electro-hydraulic servo system existing nonlinear, the active disturbance rejection control (ADRC) has many adjustable parameters which are difficult to regulate, so active disturbance rejection control with neural network (NN-ADRC) is developed in this paper. The method uses neural network self-learning ability, through a single neuron adaptive configuration parameters to complete an online self-tuning parameters, while taking advantage of RBF neural network as identifier to identify the controlled object gradient information. Simulation results show that: the controller parameters are reduced significantly, and effectively inhibit the system unbalance force disturbance and realize the accurate positioning. It also has fast response speed, no overshoot, and high steady-state accuracy.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"20 1","pages":"211-215"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90954219","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}
Software variation modeling is essential to the requirements modeling of self-adaptive software. However, traditional Tropos goal model cannot specify the software variations. In order to address this problem, we incorporate the context conditions and internal event conditions into the Tropos goal model. For the problem that adaption strategies are difficult to modify when adaptive software is compiled, we propose a framework for adaptive software based on the extended Tropos goal model. The adaption logic layer of the framework has a double control loop, which takes the goal model as a reference. The dual control loop is responsible for monitoring the running status and context variations of the business logic layer, and adapting to variations according to the goal model. Such a loose coupling of adaption logic and business logic facilitates the modification of adaption strategies. We also design several adaption algorithms relative to the framework to control and cope with the internal events and context variations.
{"title":"A Framework for Self-Adaptive Software Based on Extended Tropos Goal Model","authors":"Yiwei Lei, K. Ben, Zhiyong He","doi":"10.1109/IHMSC.2015.65","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.65","url":null,"abstract":"Software variation modeling is essential to the requirements modeling of self-adaptive software. However, traditional Tropos goal model cannot specify the software variations. In order to address this problem, we incorporate the context conditions and internal event conditions into the Tropos goal model. For the problem that adaption strategies are difficult to modify when adaptive software is compiled, we propose a framework for adaptive software based on the extended Tropos goal model. The adaption logic layer of the framework has a double control loop, which takes the goal model as a reference. The dual control loop is responsible for monitoring the running status and context variations of the business logic layer, and adapting to variations according to the goal model. Such a loose coupling of adaption logic and business logic facilitates the modification of adaption strategies. We also design several adaption algorithms relative to the framework to control and cope with the internal events and context variations.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"533-536"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80058479","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}
The spam filter based on Naive Bayes algorithm, which has good classification accuracy, but the training and learning mail sample sets takes a lot of resources, affects the overall efficiency of the system, so we should select the features of the message text in the practical application, and thus to reduce the dimension of the features vector space. TF-IDF is commonly used as a text feature selection, the method is simple, the paper improve the IDF weighting algorithm of the TF-IDF feature selection, increase the weight of the high frequency words corresponding its class, use the improved TF-IDF algorithm to select the features, and build a naive Bayesian spam filter improved TF-IDF feature weighting.
{"title":"Research and Improvement of a Spam Filter Based on Naive Bayes","authors":"Lin Li, Chi Li","doi":"10.1109/IHMSC.2015.208","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.208","url":null,"abstract":"The spam filter based on Naive Bayes algorithm, which has good classification accuracy, but the training and learning mail sample sets takes a lot of resources, affects the overall efficiency of the system, so we should select the features of the message text in the practical application, and thus to reduce the dimension of the features vector space. TF-IDF is commonly used as a text feature selection, the method is simple, the paper improve the IDF weighting algorithm of the TF-IDF feature selection, increase the weight of the high frequency words corresponding its class, use the improved TF-IDF algorithm to select the features, and build a naive Bayesian spam filter improved TF-IDF feature weighting.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"61 1","pages":"361-364"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90698175","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}
Land-use spatial districting is in essence of a problem with multi-objective optimization decision under hard constraints, this paper constructs a solving model by two core steps: one is to design multi-objective tabu search algorithm, and then design an interactive decision-making support tool. Finally, the method has been tested for farmland consolidation districting. Experimental results show that the approval method can provide scientific and intelligent decision-making support for the formulation and implementation of the regional land-use planning.
{"title":"A Multi-objective Optimization Decision Model Assisting the Land-Use Spatial Districting under Hard Constraints","authors":"Zeying Lan, Yang Liu","doi":"10.1109/IHMSC.2015.220","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.220","url":null,"abstract":"Land-use spatial districting is in essence of a problem with multi-objective optimization decision under hard constraints, this paper constructs a solving model by two core steps: one is to design multi-objective tabu search algorithm, and then design an interactive decision-making support tool. Finally, the method has been tested for farmland consolidation districting. Experimental results show that the approval method can provide scientific and intelligent decision-making support for the formulation and implementation of the regional land-use planning.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"34 1","pages":"36-39"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74373144","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}
In order to solve the problem of 3D point cloud data interpretation for the autonomous vehicle avoidance system, based on the analysis of the characteristics of the point cloud data, an analysis method of point grid projection is presented in this paper. This method can effectively obtain the interpretation of the road obstacles from the point cloud data. In this paper, the error and independent point was first analyzed and filtered out. Then road area of interest is divided into grid. Useful points are projected onto the grid and the projection effect would give a comprehensive criterion for interpretation, and location of the road obstacles. The method is verified by experiments and the experimental results show that, this method can effectively assist the autonomous vehicle navigation system to determine the obstacles.
{"title":"The Analysis of Stereo Vision 3D Point Cloud Data of Autonomous Vehicle Obstacle Recognition","authors":"Li Pei, Zhou Rui","doi":"10.1109/IHMSC.2015.192","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.192","url":null,"abstract":"In order to solve the problem of 3D point cloud data interpretation for the autonomous vehicle avoidance system, based on the analysis of the characteristics of the point cloud data, an analysis method of point grid projection is presented in this paper. This method can effectively obtain the interpretation of the road obstacles from the point cloud data. In this paper, the error and independent point was first analyzed and filtered out. Then road area of interest is divided into grid. Useful points are projected onto the grid and the projection effect would give a comprehensive criterion for interpretation, and location of the road obstacles. The method is verified by experiments and the experimental results show that, this method can effectively assist the autonomous vehicle navigation system to determine the obstacles.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"4 1","pages":"207-210"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74519898","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}
Erasure codes, such as Reed-Solomn (RS) and CRS Codes, are being extensively deployed in distributed storage system since they offer significantly higher reliability than data replication methods at much lower storage overheads. But RS and CRS codes always impose a huge burden on system's performance while encoding and decoding when they provide significant savings in storage space. This paper puts forward an optimized algorithm named ICRS (Improved CRS) based on erasure coding technology, which is committed to improve the security and the utilization of storage space. By studying existing high reliability and space saving rate of coding technology, we imported coding mechanism into distributed storage systems. We have verified ICRS algorithm by theory analysis and simulation test. Through theory analysis, we can conclude that ICRS algorithm can improve the performance of encoding and decoding because they can shorten the computation times. We apply ICRS algorithm into our storage system model named Robot to test the performance. At the same time, we compare RS codes and CRS codes in Robot. The test results show that decoding speed can rise up nearly two times than the past serial decoding speed.
{"title":"ICRS: An Optimized Algorithm to Improve Performance in Distributed Storage System","authors":"Chao Yin, Haitao Lv, Zongmin Cui, Tongfang Li, Lili Rao, Zhi Wang","doi":"10.1109/IHMSC.2015.219","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.219","url":null,"abstract":"Erasure codes, such as Reed-Solomn (RS) and CRS Codes, are being extensively deployed in distributed storage system since they offer significantly higher reliability than data replication methods at much lower storage overheads. But RS and CRS codes always impose a huge burden on system's performance while encoding and decoding when they provide significant savings in storage space. This paper puts forward an optimized algorithm named ICRS (Improved CRS) based on erasure coding technology, which is committed to improve the security and the utilization of storage space. By studying existing high reliability and space saving rate of coding technology, we imported coding mechanism into distributed storage systems. We have verified ICRS algorithm by theory analysis and simulation test. Through theory analysis, we can conclude that ICRS algorithm can improve the performance of encoding and decoding because they can shorten the computation times. We apply ICRS algorithm into our storage system model named Robot to test the performance. At the same time, we compare RS codes and CRS codes in Robot. The test results show that decoding speed can rise up nearly two times than the past serial decoding speed.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"7 1","pages":"561-564"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84337761","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}
In the actual weapon-target allocation (WTA) problem, weapons can not be randomly paired with incoming targets since their launching zones are limited. Though genetic algorithm (GA) with various modifications has been developed for WTA problems, the spatial constraints are always ignored. In the paper a genetic algorithm (GA) based approach is developed to solve the WTA problem subject to spatial constraints, where each chromosome is encoded as a binary matrix with "forbidden bits" to address problem constraints, and corresponding crossover and mutation operators are designed to guarantee each chromosome a valid solution to the WTA problem through the whole evolving process. Simulation results verify the feasibility of the proposed approach.
{"title":"Constraint Optimization GA and Its Application to Constrained WTA Problem","authors":"Ling Wu, Xu-Tong Yu, Faxing Lu","doi":"10.1109/IHMSC.2015.60","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.60","url":null,"abstract":"In the actual weapon-target allocation (WTA) problem, weapons can not be randomly paired with incoming targets since their launching zones are limited. Though genetic algorithm (GA) with various modifications has been developed for WTA problems, the spatial constraints are always ignored. In the paper a genetic algorithm (GA) based approach is developed to solve the WTA problem subject to spatial constraints, where each chromosome is encoded as a binary matrix with \"forbidden bits\" to address problem constraints, and corresponding crossover and mutation operators are designed to guarantee each chromosome a valid solution to the WTA problem through the whole evolving process. Simulation results verify the feasibility of the proposed approach.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"10 1","pages":"141-144"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79972999","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}
Vehicle detection at night time is of great importance for applications toward advanced driver assistance system. In this paper, we propose a method using deformable parts model for night time vehicle detection. Before detection, we use Nakagami distribution to find the regions of saliency. After that, we consider the regions in which pairs of regions of saliency are almost at the same horizontal line as our regions of interest. Within those regions of interest, we apply the pre-trained deformable parts model to detect vehicles. The experimental result are provided to demonstrate the effectiveness of our method.
{"title":"Nighttime Vehicle Detection Using Deformable Parts Model","authors":"Jiajie Chen, Jianda Chen, Feng Gu","doi":"10.1109/IHMSC.2015.223","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.223","url":null,"abstract":"Vehicle detection at night time is of great importance for applications toward advanced driver assistance system. In this paper, we propose a method using deformable parts model for night time vehicle detection. Before detection, we use Nakagami distribution to find the regions of saliency. After that, we consider the regions in which pairs of regions of saliency are almost at the same horizontal line as our regions of interest. Within those regions of interest, we apply the pre-trained deformable parts model to detect vehicles. The experimental result are provided to demonstrate the effectiveness of our method.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"164 1","pages":"480-483"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85824049","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}
Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li
This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.
{"title":"An Intelligent Mass Spectrometer Vacuum Monitoring System Based on PC104","authors":"Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li","doi":"10.1109/IHMSC.2015.64","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.64","url":null,"abstract":"This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"48 1","pages":"149-152"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80617017","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}
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