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}
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}
This paper presents a data conversion method between Kinect raw motion data and standard BVH format file. To verify the feasibility of conversion and correctness of data, the motion data in BVH format is imported into Motion Builder, 3D animation software, forming a demo animation. The results show that data conversion is workable and data are correct.
{"title":"Data Transform for Dance Motion Capture Based on Kinect","authors":"Licheng Wu, Yu Yang, Xiaer Li","doi":"10.1109/IHMSC.2015.137","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.137","url":null,"abstract":"This paper presents a data conversion method between Kinect raw motion data and standard BVH format file. To verify the feasibility of conversion and correctness of data, the motion data in BVH format is imported into Motion Builder, 3D animation software, forming a demo animation. The results show that data conversion is workable and data are correct.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"108-111"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84764046","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}
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}
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}
We introduced a semi-supervised learning framework based on hyper graph random walk algorithm (HRWA) for content-based video-shot annotation, in which a probabilistic hyper graph is used to represent the relevance relationship among the vertices (video shots). First, based on the similarity matrix computed from attribute values of video shots, a label random walk graph is built on the training set. Second, the random walk processing is carried on a hyper graph system when an unlabeled data arrives and a probability distribution among all labels is obtained. Then, the label category of each shot is determined according to the threshold. Finally, the effectiveness of HRWA is demonstrated by experiments on news video database of TRECVID 2007.
{"title":"Video Shot Annotation Based on Hypergraph Random Walk Algorithm","authors":"Xianfeng Li, Yongzhao Zhan, Sen Xu","doi":"10.1109/IHMSC.2015.92","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.92","url":null,"abstract":"We introduced a semi-supervised learning framework based on hyper graph random walk algorithm (HRWA) for content-based video-shot annotation, in which a probabilistic hyper graph is used to represent the relevance relationship among the vertices (video shots). First, based on the similarity matrix computed from attribute values of video shots, a label random walk graph is built on the training set. Second, the random walk processing is carried on a hyper graph system when an unlabeled data arrives and a probability distribution among all labels is obtained. Then, the label category of each shot is determined according to the threshold. Finally, the effectiveness of HRWA is demonstrated by experiments on news video database of TRECVID 2007.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"45 1","pages":"167-170"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81234796","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}
In this paper, formation tracking of multiple robots is studied. The communication between robots may fail due to the noise and external disturbances. In order to overcome the communication failure between followers and leader, particle swarm algorithm is applied to estimate online the trajectory of the leader. Finally simulations are curried out to verify the effectiveness of the proposed algorithm.
{"title":"Communication Failure in Formation Control of Multiple Robots Based on Particle Swarm Optimization Algorithm","authors":"Abbas Rabah, Qinghe Wu","doi":"10.1109/IHMSC.2015.218","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.218","url":null,"abstract":"In this paper, formation tracking of multiple robots is studied. The communication between robots may fail due to the noise and external disturbances. In order to overcome the communication failure between followers and leader, particle swarm algorithm is applied to estimate online the trajectory of the leader. Finally simulations are curried out to verify the effectiveness of the proposed algorithm.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"PP 1","pages":"448-451"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84348668","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}
Underwater laser communication is an efficient communication method used in underwater environment. It has been used in many instruments to achieve high speed and wide band data transmission. In the presented paper, we simulate and analyze the affection on laser transmitting caused by random particle. We use Monte carol mechanism as tool to simulate a scenario of underwater laser communication. We focus on the relationship between density of different particles in water and the transmission area. Simulation results show that the output laser intensity under the rule of exponential distribution with the extend of communication area. We also find that although density is different the position of the strongest output light intensity is always at the second and the third line in simulation.
{"title":"Analyzation and Simulation of Underwater Laser Communication Based on Monte Carlo Mechanism","authors":"Jiashun Huang, Yanbo Zhang, Dong'Ang Li, Shuai Ren","doi":"10.1109/IHMSC.2015.252","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.252","url":null,"abstract":"Underwater laser communication is an efficient communication method used in underwater environment. It has been used in many instruments to achieve high speed and wide band data transmission. In the presented paper, we simulate and analyze the affection on laser transmitting caused by random particle. We use Monte carol mechanism as tool to simulate a scenario of underwater laser communication. We focus on the relationship between density of different particles in water and the transmission area. Simulation results show that the output laser intensity under the rule of exponential distribution with the extend of communication area. We also find that although density is different the position of the strongest output light intensity is always at the second and the third line in simulation.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"28 1","pages":"517-520"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87350200","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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