{"title":"Bilateral hydraulic servo control system based on force sense for construction robot","authors":"Guang Wen, Hongyan Zhang","doi":"10.1109/IWACI.2010.5585197","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585197","url":null,"abstract":"Aiming to the problem of great feedback force impact existing in the parallel mechanisms force feedback bilateral hydraulic servo control, an improved parallel force feedback control algorithm is presented. It takes the force error between master and slave as the control signal of the master, and takes the position error and the force error as control variable of the slave. The novel hydraulic force servo controller is made up of a force sensor and a hydraulic motor controlled by an electro-hydraulic valve, the improved parallel force feedback bilateral hydraulic servo control experiment system is constructed. The force and position following performance experiments are carried out respectively in the two load condition of no-load and spring load. The experimental results show that the improved parallel force feedback control method can not only ensure the position following precision that the slave follows the master, but also make the master follow the slave force condition accurately, simultaneously improve the master-slave control system maneuverability, make the manipulator feeling real force tele-presence, and increase the transparency of the force feedback.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126887351","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 real time IDSs based on artificial Bee Colony-support vector machine algorithm","authors":"Jun Wang, Tai-hang Li, Rong-rong Ren","doi":"10.1109/IWACI.2010.5585107","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585107","url":null,"abstract":"The success of any Intrusion Detection Systems (IDSs) is a complicated problem due to its nonlinearity and the quantitative or qualitative network traffic data stream with irrelevant and redundant features. How to choose the effective and key features is very important topic for an intrusion detection problem. Support vector machine (SVM) has been employed to provide potential solutions for the IDSs problem. However, the practicability of SVM is affected due to the difficulty of selecting appropriate SVM parameters. Artificial Bee Colony algorithm (ABC) is an optimization method, which is not only has strong global search capability, but also is very easy to implement. Thus, the proposed ABC-SVM model is applied to determine free parameters of SVM and feature selection at building intrusion detection system. The standard ABC is used to determine free parameters of support vector machine and the binary ABC is to obtain the optimum feature selection for IDSs from KDD Cup 99 data set. The experimental results indicate that the ABC-SVM method can achieve higher accuracy rate than Particle swarm optimization (PSO) and GA-SVM algorithms in the same time.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839188","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":"On global asymptotic stability criteria for cellular neural networks with discrete and distributed time-varying delays","authors":"Bin Huang, Minghui Jiang, Ting Zhang","doi":"10.1109/IWACI.2010.5585133","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585133","url":null,"abstract":"In this paper, the global asymptotic stability for a class of uncertain delayed cellular neural networks with discrete and distributed time-varying delays (DCNNs) is considered. Based on the Lyapunov functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach, a new criterion is derived to guarantee global asymptotic stability. A numerical example is illustrated to show the effectiveness of our results.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920743","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":"Communication protocols for distributed reasoning in expert systems","authors":"Mahmoud Naghibzadeh, A. Rahimi","doi":"10.1109/IWACI.2010.5585165","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585165","url":null,"abstract":"Human experts frequently communicate to find a solution to a complicated problem or to confirm their thought about how to solve a problem. An expert system could be facilitated to consult with other same domain expert system in order to better handle a request, too. In this paper a distributed rule-based expert system is designed and implemented. The required protocol for the communication of the expert system with other same domain expert systems is developed. Same-domain expert systems are facilitated to be able to interact with each other in their forward chaining and/or backward chining inference process in order to handle a request more professionally. Ontology is used to represent each expert's knowledge. The distributed system is implemented in JADE environment using FIPA standards while Protégé is used for ontology implementation. The system was successfully tested on a travel recommender application. The tests show that two expert systems could very well used each other's knowledge to recommend a route which could not have been recommended by each of the experts.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129101932","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 optimization of job shop scheduling problem based on Artificial Fish Swarm Algorithm with tabu search strategy","authors":"Kongcun Zhu, M. Jiang","doi":"10.1109/IWACI.2010.5585118","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585118","url":null,"abstract":"The job shop scheduling problem (JSSP) is a sort of famous combination optimization problems which is difficult to solve using the conventional optimization algorithm. Artificial Fish Swarm Algorithm (AFSA) proves to be powerful in solving some optimization problems and the AFSA has the advantages of not strict to parameter setting, strong robustness, fast convergence and so on. In this paper, the tabu search strategy is added into the AFSA to avoid artificial fish (AF) being trapped in the local optimum and speed up the convergence. Some well known benchmark problems in JSSP are used to evaluate the performance of the AFSA with tabu search strategy. The simulation result shows that the performance of AFSA with tabu search strategy in solving JSSP is satisfactory.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129061876","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":"Design and research of fire early warning system based on topological structure for forest","authors":"Jianfeng Wang, Yichen Li, Panfeng Chen, Jiwei Ma, Cui-fen Lun, Shiguang Liu","doi":"10.1109/IWACI.2010.5585125","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585125","url":null,"abstract":"To improve the flexibility and capability-price ratio, an approach for designing the forest fire early warning system was first proposed. In this system, the wireless communication methods combined with wired one based on topological structure was adopted. Second, we discussed and introduced the characteristics of structure, working principle and design method of the system in detail. Finally, a large number of simulated experiments were done. And the experimental results showed that the proposed system was outstanding among others with the advantages of stability, reliability and low power consumption.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116510905","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":"Application of artificial neural networks in automatic cartilage segmentation","authors":"Ngo Quang Long, Dan-quan Jiang, C. Ding","doi":"10.1109/IWACI.2010.5585177","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585177","url":null,"abstract":"Magnetic resonance imaging of articular cartilage has recently been recognized as the best non-invasive tool to visualize the cartilage morphology, biochemistry and function. In this paper, the challenging issue of automatic determining the cartilage volume is tackled. First, algorithms based on classical segmentation methods such as thresholding, poly-fitting, and average weight calculating are combined and tailored to develop a clustered segmentation method. Second, artificial neural network (ANN) is applied to improve the developed method by better coping with the nonlinearity and unidentified MRI image noises. This ANN is then applied with the active contour models (Snake) to provide the desirable outcome. Computational examples are given to justify our analysis and demonstrate the proposed method.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992667","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":"Distributed image coding in wireless multimedia sensor networks: A survey","authors":"Zhe-yuan Xiong, Xiao-ping Fan, S. Liu, Zhi Zhong","doi":"10.1109/IWACI.2010.5585161","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585161","url":null,"abstract":"There are a large number of video data have to be processed and transmitted in resource-constrained wireless multimedia sensor networks (WMSN). One possible way of achieving maximum utilization of those resources is to apply an adaptive image coding scheme, which must consider the trade-off between energy consumption and image quality. The the major research challenges and objectives of image coding for WMSN are discussed. Distributed image coding schemes especially designed for WMSN and some theoretical explorations are investigated and classified, including Wyner-Ziv coding and collaborative coding.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249007","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":"Rough set based creativity rule extracting for middle school students","authors":"Jiayuan Yu","doi":"10.1109/IWACI.2010.5585170","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585170","url":null,"abstract":"The purpose of this study was try to find the rules between scientific creativity and creativity affective. Williams Creativity Test B (WCTB) and Adolescent Scientific Creativity Scale (ASCS) were used to measure creativity for 495 middle school students. In the decision table, four creative affective variables were used as conditional attributes, and scientific creativity was used as decision attribute. Eight rules were extracted with rough set. It was found that risk-taking and curiosity were very important for scientific creativity.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126266108","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":"Technology for multi-focus image fusion based on wavelet transform","authors":"Yong-qing Chen, L. Chen, Hong-jie Gu, Kun Wang","doi":"10.1109/IWACI.2010.5585163","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585163","url":null,"abstract":"Since the sole focus can't capture the high-quality image of multi-association plastic gear tooth profile's flaw detail on different end surface, these flaws couldn't be detected simultaneously. When it comes to the two images focused on different gear ends, the highly detailed image is required due to the large quantity and complex profile of gear teeth. In view of the subject above, some fusion rules of multi-focus image, which adopt big high-frequency coefficient and mean value of low-frequency coefficient, are proposed in this paper based on wavelet transformation. Then suitable wavelet coefficient and decomposition layers are adopted to fuse the multi-focus image. Experimental results show that the fusion image has a high quality as well as low calculation and the tooth profile is greatly different from the background. So the proposed method shows great foreground in real time detection.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133904628","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}