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2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics最新文献

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A Parallel Method for Stego Image Feature Extraction on Multicore CPU 一种基于多核CPU的隐迹图像特征提取并行方法
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.134
Chenjun Lin, Shangping Zhong
{"title":"A Parallel Method for Stego Image Feature Extraction on Multicore CPU","authors":"Chenjun Lin, Shangping Zhong","doi":"10.1109/IHMSC.2013.134","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.134","url":null,"abstract":"At present, the key techniques of the universal steganography detection include image feature extraction and classifier construction. With the structure of features for steganography detection being more and more complex, the computation of image feature extraction algorithms constantly increases, which becomes the most time-consuming part of image steganography detection. In this paper, we focus on the parallelization method for stego image feature extraction on multicore CPU system. By overcoming some disadvantages of the original OpenMP parallel method, we propose a feature extraction method that uses thread-level task parallelism, which firstly constructs a lock-free task queue for task threads, secondly reduces thread synchronization overhead and finally solves false sharing issue and sets thread affinity scheduling to improve performance. Results of the experiment show that the proposed parallel method works out good speedup performance on the dual-core and quad-core systems. Compared with the original OpenMP method, our method gains better speedup that is 1.2% and 3% faster respectively, and that improves the practicality of the universal steganography detection.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314721","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
Fuzzy Adaptive PID Controlling of Servo Motor System Based on DSP 基于DSP的伺服电机系统模糊自适应PID控制
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.13
Jintian Yin, Li Liu, Saimei Shi
{"title":"Fuzzy Adaptive PID Controlling of Servo Motor System Based on DSP","authors":"Jintian Yin, Li Liu, Saimei Shi","doi":"10.1109/IHMSC.2013.13","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.13","url":null,"abstract":"A servo motor control system Based on a digital signal processor (dsp) is presented. Servo motor control system in a comprehensive analysis of the static and dynamic performance Based on its control strategy, the control is studied strategy and a DSP Based servo motor control system of A fuzzy adaptive PID controller is developed, Promote its dynamic and static performance, At one time, carried on a design to the filter of the full-digital current wreath in the system, so as to improve control of current loop and overall performances of servo motor control system.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125037107","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
Research of Software Simulation Experiment Platform Based on ARM Embedded System 基于ARM嵌入式系统的软件仿真实验平台研究
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.157
Xiaohui Cheng, Zhonghai Ruan, J. Gu
{"title":"Research of Software Simulation Experiment Platform Based on ARM Embedded System","authors":"Xiaohui Cheng, Zhonghai Ruan, J. Gu","doi":"10.1109/IHMSC.2013.157","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.157","url":null,"abstract":"ARM embedded hardware experiment platform is not suitable for beginners to deeply understand internal peripherals, registers and specific path of program execution, jump. Given that, this paper present a Real view MDK software simulation platform exemplified by S3C2440 internal hardware resource that close to the real hardware environment and carry on the strict test to further study the experimental simulation technology. The analysis and comparison of hardware experimental platform shown that Real view MDK software simulation platform can reduce the difficulty of design and development costs drastically, and it can be completely applied to the ARM embedded system teaching or self-study. It is of high popularization and application value in domestic colleges.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122758424","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
Approach for Parking Spaces Detection Based on ARM Embedded System 基于ARM嵌入式系统的车位检测方法
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.244
Yucheng Li, Guohui Li, Xingcai Zhao
{"title":"Approach for Parking Spaces Detection Based on ARM Embedded System","authors":"Yucheng Li, Guohui Li, Xingcai Zhao","doi":"10.1109/IHMSC.2013.244","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.244","url":null,"abstract":"In order to detect parking spaces of outdoor parking, a proposal using cameras is given. Based on MAP, the problem is translated into the shortest path problem, the fast solving algorithm of which is present. It detects real-time parking space states, sent to the server, by the intelligent camera embedded ARM11, in which there exists the fast parking detection algorithm. Based on the C/S network model, parking information is displayed on computer terminals or LCD. Experimental results indicate that the system can be conveniently used to detect parking space states, and to manage parking information.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129424237","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: 2
Design of Stable T-S Fuzzy Controller for a Nonlinear Inverted Pendulum System 非线性倒立摆系统稳定T-S模糊控制器的设计
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.152
O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare
{"title":"Design of Stable T-S Fuzzy Controller for a Nonlinear Inverted Pendulum System","authors":"O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare","doi":"10.1109/IHMSC.2013.152","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.152","url":null,"abstract":"Inverted pendulum is a classic example in the field of nonlinear control theory, which can be observed in the many real world control problems. In this paper, first, a feedback linearization control method is designed and employed to make informative pair of input-output data for controlling a nonlinear inverted pendulum. Then, Based on the pair of input-output data a stable T-S fuzzy controller is designed. The fuzzy clustering method (FCM) is used as a rule extraction approach to properly generate the fuzzy-rule base. Finally, the proposed controller is applied to a nonlinear inverted pendulum system. The results demonstrate the stability, the working, and the applicability of the proposed method.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128430922","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
3D Facial Expression Recognition on Curvature Local Binary Patterns 基于曲率局部二值模式的三维面部表情识别
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.176
Yiding Wang, Meng Meng
{"title":"3D Facial Expression Recognition on Curvature Local Binary Patterns","authors":"Yiding Wang, Meng Meng","doi":"10.1109/IHMSC.2013.176","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.176","url":null,"abstract":"This paper proposed a new method Based on curvature Based LBP feature to recognize 3D facial expression automatically. 3D facial expression images are described by means of four images which gray level are the value of curvature-Based descriptors (principal curvatures k1, k2, mean curvature, shape index) and then encoded by LBP. To efficiently optimize the performance, Chi-square distance is employed for classification. Finally, experimental result achieved on the Bosphorus database illustrates that the curvature-Based LBP (CLBP) has performs better than other features and also shows these features are significant for 3D facial expression recognition.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128588942","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
Research and Application on Intelligent Parking Solution Based on Internet of Things 基于物联网的智能停车解决方案研究与应用
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.171
Yanlin Yin, D.L. Jiang
{"title":"Research and Application on Intelligent Parking Solution Based on Internet of Things","authors":"Yanlin Yin, D.L. Jiang","doi":"10.1109/IHMSC.2013.171","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.171","url":null,"abstract":"This paper has researched on intelligent parking lot Based on Internet of Things, and provided reliable solutions. In addition, we proposed a number of novel ideas of how to resolve problems like intercommunication of different network interface among various sensors and detecting deviations come from a single kind of sensor. Furthermore, this paper has also proposed a advanced vehicle positioning method Based on the collaboration of RFID network and Wi-Fi network.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546963","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: 22
Grey Particle Filter (GPF) for Self-Estimating Depth of Maneuvering Autonomous Underwater Vehicle (AUV) 灰色粒子滤波(GPF)在机动自主水下航行器(AUV)深度自估计中的应用
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.50
Ting Li, Dexin Zhao, Zhiping Huang, Shaojing Su
{"title":"Grey Particle Filter (GPF) for Self-Estimating Depth of Maneuvering Autonomous Underwater Vehicle (AUV)","authors":"Ting Li, Dexin Zhao, Zhiping Huang, Shaojing Su","doi":"10.1109/IHMSC.2013.50","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.50","url":null,"abstract":"This paper presents a grey particle filter (GPF) that incorporates the grey prediction algorithm into the particle filter (PF). The GPF self-estimates the depth of maneuvering autonomous underwater vehicle (AUV) using the data measured by the depth sensor equipped in the AUV under the condition that the prior maneuvering information is unknown and the measurement noise is time-varying. The principle of the GPF is that the particles are sampled by grey prediction algorithm and the likelihood probabilities of the grey particles are calculated by wavelet transform in real time, which only uses the historical measurement without establishing prior dynamic models. Therefore, the GPF can effectively alleviate the sample degeneracy problem which is common in the multiple model particle filter (MMFP). The performance of the MMPF and GPF are both evaluated through the experimental data. The results show that GPF has the better estimation accuracy than the MMPF.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124101361","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
Prediction of Discharge Capacity of Lithium Battery Based on Cloud Neural Network 基于云神经网络的锂电池放电容量预测
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.86
Jing Wan, Qingdong Li
{"title":"Prediction of Discharge Capacity of Lithium Battery Based on Cloud Neural Network","authors":"Jing Wan, Qingdong Li","doi":"10.1109/IHMSC.2013.86","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.86","url":null,"abstract":"The prediction of discharge capacity of lithium batteries was one of the main tasks of battery management system. The discharge capacity of lithium batteries was related with many parameters, including discharge current, voltage, temperature, and the past charge and discharge history. The prediction methods of existing lithium battery discharge capacity mostly have no learning capabilities and nonlinear prediction ability, in order to predict the discharge capacity of lithium battery more accurately, an algorithm Based on cloud neural network (CNN) was presented. On the basis of the analysis of the actual data of NASA, determine the related influence factors of discharge capacity, set up a corresponding CNN prediction model using cloud model, and use the cloud model for adaptive adjustment of the learning speed. Comparing with the traditional NN method, the simulation result demonstrates that the CNN prediction model has smaller prediction error.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866852","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 Optimization Selection of Correlative Factors for Long-Term Power Load Forecasting 电力负荷长期预测中相关因素的优化选择
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2013-08-26 DOI: 10.1109/IHMSC.2013.64
Jiping Zhu
{"title":"The Optimization Selection of Correlative Factors for Long-Term Power Load Forecasting","authors":"Jiping Zhu","doi":"10.1109/IHMSC.2013.64","DOIUrl":"https://doi.org/10.1109/IHMSC.2013.64","url":null,"abstract":"In order to reflect the influence of each element on the load forecasting result, an Artificial Neural Network (ANN) Based approach for long-term load forecasting is investigated. Based on the theory of artificial neural network, a three-layer back propagation(BP) network is proposed. The idea is to forecast medium and long term load using the ability of ANN to nonlinear system. Seven factors are selected as inputs for the proposed ANN. The factors include GDP, heavy industry production, light industry production, agriculture production, primary industry, secondary industry, tertiary industry. Elimination method is used for the optimization selection of correlative factors, and forecasting accuracy is discussed. Simulation results show that predicting precision is elevated notably. after using elimination method, So the method brought forward is feasible and effective.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126422512","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: 10
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