{"title":"Quantum-behaved Particle Swarm Optimization with Cauchy Disturbance for Power Economic Dispatch","authors":"Lei Xu, Lan Zhang, J. Dang","doi":"10.1109/IHMSC.2012.160","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.160","url":null,"abstract":"This paper presents a modified quantum behaved particle swarm optimization for power economic dispatch with several equality and inequality constraints. Inspired by the quantum behaved particle swarm optimization method and Cauchy distribution, which has the characteristics of long wings, we introduce the quantum-behaved particle swarm optimization with Cauchy disturbances to perturb the average position. The novel method is good for avoiding algorithm premature. And then we hand constraints with penalty functions to solve economic dispatch problem of power system. Then we apply this algorithm on the 15 units system, the simulation results are presented to show the comparative performance of these methods.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"43 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756186","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 Implementation of CAN Bus Network of PLC Based on ARM","authors":"Jinshui Shi","doi":"10.1109/IHMSC.2012.74","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.74","url":null,"abstract":"CAN bus is one of the most widely used field bus. In the light of the faults of PLC industrial network established by RS485, this paper presents a scheme for PLC accessing to the CAN bus network, which is based on the 32 bit MCU LPC2294. The author describes in detail the features of 32 bit ARM microcontroller, LPC2294 and CAN TJA1050T transceiver and gives the hardware structure and software design of PLC using as a CAN bus intelligent node. Combining with the actual use of the hardware, the author puts forward the anti interference measures.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126963386","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":"Illumination Normalization Based on Local Binary Pattern Image","authors":"Y. Cheng, Zhigang Jin, Cunming Hao","doi":"10.1109/IHMSC.2012.29","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.29","url":null,"abstract":"This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121336671","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":"Improved Stability Criterion for Linear Systems with Time-Varying Delay","authors":"Xiang Teng","doi":"10.1109/IHMSC.2012.122","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.122","url":null,"abstract":"This paper investigates the stability analysis problem for linear systems with time-varying delay. The state delay is assumed to be varying within a given interval. By constructing a novel Lyapunov-Krasovskii functional and developing new techniques, an improved delay-interval-dependent criterion is derived to ensue the stability of the systems. The stability condition is presented in terms of linear matrix inequalities, which can be easily solved by means of standard numerical software. A numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":" 70","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113948975","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":"A Framework of Cluster Decision Tree in Data Stream Classification","authors":"Lin Qian, Liangxi Qin","doi":"10.1109/IHMSC.2012.15","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.15","url":null,"abstract":"Recently, data streams classification with concept drifting has drawn increasing attention of scholars in data mining, due to the deficiencies of existing algorithms in accuracy and efficient. In this paper, we propose a framework for handling the problem mentioned above using cluster decision tree. We cluster those data which cannot be classified temporarily into n class, and generate new branches of the VFDT based on cluster result or replace original ones. Our empirical study shows that the proposed method has substantial advantages over traditional classifiers in prediction accuracy and efficiency.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983453","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 Design for Torque Motor of Jet Pipe Electro-hydraulic Servo-valve Based on Dynamic Stiffness","authors":"Xuan Hong Son Pham, Yao-bao Yin, Xi Zhang","doi":"10.1109/IHMSC.2012.140","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.140","url":null,"abstract":"In this paper the dynamic characteristics of the armature assembly of torque motor in jet pipe electro-hydraulic is studied. The results show that the stiffness of armature assembly and feedback spring pole are the key parts which can be directly related to geometric and material parameters of torque motor. Therefore, improvement of the operating characteristics of torque motor through dynamic stiffness is developed.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131923221","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":"Neural Network Approach for Semivectorial Bilevel Programming Problem","authors":"Yibing Lv","doi":"10.1109/IHMSC.2012.103","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.103","url":null,"abstract":"A novel neural network approach is proposed for solving semivectorial bilevel programming problem, where the upper level is a scalar-valued optimization problem and the lower level is the linear multiobjective programming. The proposed neural network is proved to be Lyapunov stable and capable of generating optimal solution to the semivectorial BP problem. The numerical result shows that the neural network approach is feasible and efficient.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803503","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":"Independent Component Analysis without Preprocessing","authors":"Zhong Wang, Hongyuan Zhang","doi":"10.1109/IHMSC.2012.90","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.90","url":null,"abstract":"In this paper, we introduce a novel independent component analysis (ICA) algorithm, which does not require any preprocessing of the mixed signals (as opposed to most current ICA algorithms). Using a zero-forcing technique, the algorithm performs on-line diagonalization of a matrix whose entries are cross-cumulants of nonlinearly transformed mixtures of source signals. To our knowledge, the proposed approach is the only on-line ICA algorithm that separate mixed source signals without any frequently used preprocessing such as \"centering\" (subtracting the means from the mixtures) or \"sphering\" (decorrelation or whitening). Most other higher order cumulants based ICA algorithms involve complicated matrix algebra and lacks the desirable equivariant property which means these algorithms may fail to produce the desired source separation when the mixing matrix is ill-conditioned. The algorithm proposed in this paper, however, is equivariant and the separation performance of the algorithm is independent of the underlying mixing matrix.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115620374","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}
Qiang Zhang, Jiandong Zhao, Dapeng Wei, Zhaoyang Wu, Zhaoxuan Li
{"title":"Small-sized Intelligent Humanoid Robot Based on a Multiple Sensor Fusion","authors":"Qiang Zhang, Jiandong Zhao, Dapeng Wei, Zhaoyang Wu, Zhaoxuan Li","doi":"10.1109/IHMSC.2012.78","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.78","url":null,"abstract":"This paper is to design the small-sized intelligent humanoid robot as the foundation, and introduce how to realize the humanoid robot basic function and human-computer interaction and the intelligence function, which is separately from four aspects, i.e. the speech, vision, proximity sense three single intelligent functions, multiple sensor fusion system and gait planning, physical prototype test. And this physical prototype was proved the feasibility of theories.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"45 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304230","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 Application of Wavelet Transform to Fault Detection of Aircraft Control Surface","authors":"Xiao Chen, Xinmin Wang, Cheng Peng","doi":"10.1109/IHMSC.2012.173","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.173","url":null,"abstract":"Control surface failure which can change the structure of the motion equations is a difficult problem in fault detection. To this failure, the wavelet analysis method is presented to detect fault signal in accordance with wavelet local refinement properties. Wavelet basis selection is one of the key issues in the wavelet analysis method. According to the rules of the wavelet basis, a proper selection is given. Subsequently, fault detection algorithm based on wavelet transform is proposed. Finally, simulation is carried out based on the stuck of elevator of F16 fighter. In the process of simulation, wavelet basis db4 is selected and Mallat algorithm, 3-layer decomposition is adopted. The results show that wavelet analysis method can effectively detect the fault occurrence time.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071949","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}