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2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics最新文献

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Data Transform for Dance Motion Capture Based on Kinect 基于Kinect的舞蹈动作捕捉数据变换
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.137
Licheng Wu, Yu Yang, Xiaer Li
{"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}
引用次数: 3
A Camera Calibration Method Based on Genetic Algorithm 基于遗传算法的摄像机标定方法
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.246
Peng Liu, Jianwei Zhang, K. Guo
{"title":"A Camera Calibration Method Based on Genetic Algorithm","authors":"Peng Liu, Jianwei Zhang, K. Guo","doi":"10.1109/IHMSC.2015.246","DOIUrl":"https://doi.org/10.1109/IHMSC.2015.246","url":null,"abstract":"A camera calibration algorithm based on genetic algorithm is proposed. Build the camera imaging model, choose the calibration parameters in the camera model and choose them as the genes in genetic algorithm, set fitness function, probability of performing crossover and other parameters in the genetic algorithm and use genetic algorithm to solve the calibration parameters. The calibration results show that the proposed method has higher precision than Tsai's calibration algorithm.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"41 1","pages":"565-568"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77568039","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
Active Disturbance Rejection Control of Certain Balanced and Positioning Electro-Hydraulic Servo System Based on Neural Network 基于神经网络的平衡定位电液伺服系统自抗扰控制
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.207
Litong Jia, Q. Gao, Yuan-long Hou, Zhiyuan Jia, L. Jin, Kang Li
{"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}
引用次数: 1
Research and Improvement of a Spam Filter Based on Naive Bayes 基于朴素贝叶斯的垃圾邮件过滤器的研究与改进
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.208
Lin Li, Chi Li
{"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}
引用次数: 12
A Multi-objective Optimization Decision Model Assisting the Land-Use Spatial Districting under Hard Constraints 硬约束下辅助土地利用空间区划的多目标优化决策模型
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.220
Zeying Lan, Yang Liu
{"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}
引用次数: 1
The Analysis of Stereo Vision 3D Point Cloud Data of Autonomous Vehicle Obstacle Recognition 自动驾驶汽车障碍物识别的立体视觉三维点云数据分析
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.192
Li Pei, Zhou Rui
{"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}
引用次数: 4
ICRS: An Optimized Algorithm to Improve Performance in Distributed Storage System 一种提高分布式存储系统性能的优化算法
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.219
Chao Yin, Haitao Lv, Zongmin Cui, Tongfang Li, Lili Rao, Zhi Wang
{"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}
引用次数: 0
Constraint Optimization GA and Its Application to Constrained WTA Problem 约束优化遗传算法及其在约束WTA问题中的应用
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.60
Ling Wu, Xu-Tong Yu, Faxing Lu
{"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}
引用次数: 4
Nighttime Vehicle Detection Using Deformable Parts Model 使用可变形部件模型的夜间车辆检测
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.223
Jiajie Chen, Jianda Chen, Feng Gu
{"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}
引用次数: 4
An Intelligent Mass Spectrometer Vacuum Monitoring System Based on PC104 基于PC104的智能质谱仪真空监测系统
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2015-11-23 DOI: 10.1109/IHMSC.2015.64
Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li
{"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}
引用次数: 0
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