{"title":"Pixel-Level Image Fusion Using Particle Swarm Optimization with Local Search","authors":"Li-ying Yang","doi":"10.1109/ISA.2011.5873375","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873375","url":null,"abstract":"Pixel-level image fusion is widely used in many fields. We proposed a pixel-level image fusion algorithm based on particle swarm optimization with local search, that is, PSO-LS, which improves performance further. PSO-LS integrated the self-improvement mechanisms from memetic algorithms and can avoid local minimum in PSO. Experiments were carried out on two real world images. It is shown that fusion algorithm based on PSO-LS outperforms that based on PSO, and the former obtained optimal solution rapidly using fewer particles.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124381254","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":"Chaos Control of Permanent Magnet Synchronous Motor via Sliding Mode Variable Structure Scheme","authors":"W. Cheng, Y. Tong, Chunlai Li","doi":"10.1109/ISA.2011.5873260","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873260","url":null,"abstract":"A sliding mode variable structure controller for chaotic control in the permanent magnet synchronous motor (PMSM) is presented in this paper. The controller is deduced based on the Lyapunov function theory and the function switch control strategy. The angle speed of the PMSM can be flexibly adjusted according to the engineering requirement by the controller. The control method has powerful robust and is very easy to realize in engineering. Simulation results are presented to show the effectiveness and robust of the method.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678880","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":"Integrating Artificial Intelligence into Snort IDS","authors":"Xianjin Fang, Ling-bing Liu","doi":"10.1109/ISA.2011.5873435","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873435","url":null,"abstract":"Snort is an open source network intrusion detection and prevention system (IDS/IPS) utilizing a rule-driven language, its shortcoming is unable to detect new attacks. This paper explores how to integrate Artificial Intelligence into Snort IDS/IPS, which enables IDS/IPS adapt to networks and detect anomalies. As for preprocessors of Snort IDS, a learning algorithm such as artificial neural network (ANN) is integrated into it. So Artificial Intelligence alleviates some of the security professionals' work load by first learning about a network and gauging reactions from a security professional to reduce false positives, and second, by adapting to changes in the network to identify new attacks.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"45 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123730345","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":"Dynamic Simulation and Analyzation of Arc Welding Robot","authors":"Dianyong Yu, K. Ding","doi":"10.1109/ISA.2011.5873297","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873297","url":null,"abstract":"In this paper, we take 6kg arc welding robot designed by our lab as research object and build a complex virtual prototype model. A fast, intuitive and effective dynamics method which is based on simulink and robotics toolbox is designed to validate the virtual prototype model is right. On this basis we check the select of motor and reducer.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121972705","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 Dynamic Intrusion Detection Model Based on Immunity for Wireless Sensor Network","authors":"Jianhua Zhao, Ning Liu","doi":"10.1109/ISA.2011.5873279","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873279","url":null,"abstract":"To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model realized the dynamic evolution of self set, the dynamic evolution of non-mature detector, mature detector and the memory detector. At the same time, vaccine extraction and vaccination technology was applied to improve the diversity of antibodies. Simulation results showed that the model had good detection rate and low energy consumption.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121788241","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":"Coupled Direct and Indirect Positive Feedback Loop Motifs Induce Robust Synchronized Bursting Behaviors","authors":"Chao-yi Dong, Xiao-Yan Chen","doi":"10.1109/ISA.2011.5873258","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873258","url":null,"abstract":"The understanding of the physiological basis of basic functions of brains requires detailed information about the functional structures of neuronal networks. Feedback loops are crucial dynamic motifs playing a pivotal role in the regulation and control of many important physiological and biochemical processes such as gene transcription, signal transduction, and metabolism (intracellular processes), and neuronal coding and decoding (intercellular processes). Based on simulations for synthetic spiking neuronal network models, it is shown that coupled direct and indirect PFL motifs be an underlying me-chanism for robust synchronized bursting behaviors, which are one of the most remarkable characteristics of biological neuronal networks. This result may infer a crucial structural module for designing both in vitro and in vivo neuronal net-works.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123184698","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":"Empirical Research on Adjustment of Industrial Structure and Technical Progress Affecting Resource Cities' Economy","authors":"J. Du, Bo Yu, Xilong Yao","doi":"10.1109/ISA.2011.5873304","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873304","url":null,"abstract":"This paper applies nonparametric Malmqusit index to measure total factor productivity of seventeen different kinds of resource cities from 1995 to 2008. The results show that total factor productivity grew at 3.5% annually. Technology progress is the main reason of total factor productivity and technology efficiency prevent it from growing. However, the total factor productivity and it reason of different kinds of resource cities are different. However, the transformation of proportion of the second industry is the main reason of the development of urban economy.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123838603","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 for Driving Axle with Double-Gear Wheel Reductor Based on the CATIA","authors":"Qian Jia, Chang-feng Zhou, Hou-yu Li","doi":"10.1109/ISA.2011.5873325","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873325","url":null,"abstract":"This paper designs a new driving axle with double-gear wheel reductor which is used in the Pavement Accelerated Loading Experimental Facility. Three-dimensional assembly model is established based on the CATIA and strength calculation and finite element simulation analysis to the rear axle housing and the axle shaft are carried on based on finite element analysis software. The correlation data and strength analysis of the driving axle for the Pavement Accelerated Loading Experimental Facility are obtained.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130446172","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":"Multi-Agent Path Planning for Unmanned Aerial Vehicle Based on Threats Analysis","authors":"Gang Lei, Min-zhou Dong, Tao Xu, Liang Wang","doi":"10.1109/ISA.2011.5873344","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873344","url":null,"abstract":"This paper focuses on the flight path planning process with multi-agent for Unmanned Aerial Vehicle (UAV) based on threats analysis and path length constraint. Path planner agent searches the path with global view considering path length constraint and information collector agent deals with path planning in the zone of threats. Scoring function is presented based on analysis the threats' attributes. We consider the path planning process as the multi-agent cooperation in a dynamic and non-stationarity environment. In order to perfectly adapt agents to environment changing, we restructure the traditional Q-value learning algorithm into a dynamic reinforcement learning algorithm by introducing current beliefs and recency-based exploration bonus. The simulation results show that the proposed method converges rapidly and can be used in flight path planning¿D","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441189","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":"Study on Proactive Information Delivery Strategy of Cooperative Air Combat","authors":"Jia-lang He, Jinxing Liu, Shao-Dong Chen, Jinsong Gao","doi":"10.1109/ISA.2011.5873338","DOIUrl":"https://doi.org/10.1109/ISA.2011.5873338","url":null,"abstract":"Proactive information delivery among the combat teams and the teammates in cooperative air combat is crucial. In this paper, we focus on how to model the proactive information delivery (PID) behaviors and how to delivery the combat mission and situation information during the combat process. Based on the requirements of cooperative air combat, we model the proactive information delivery behaviors and the information delivery metal states based on the information delivery payload, argument, constraint, etc., by means of AML (Agent Modeling Language). We propose some proactive information delivery strategies in air combat process according to the phase and information requirements of the cooperative air combat, which helps demonstrate the proactive information interaction among the combat teams and teammates when modeling air combat command and control systems.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706617","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}