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2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

作者： Vijayalakshmi, S. Manimegalai, D. Bharathiyar Univ Dept Comp Sci Coimbatore Tamil Nadu India Natl Engn Coll Dept Informat Technol Kovilpatti India

ISBN: (纸本)9781479968183

This paper presents and discusses some ensemble attribute selection methods for text document clustering. In this research, attributes are extracted in two levels. The first level document representation based on distribution of compact noun were constructed and relevance measure is applied on the distributed compact noun-document representation. it is used evaluate the importance of the noun. It has been widely studied in supervised learning, whereas it is still relatively rare researched in unsupervised learning. Vector Space Model has been used in many text mining tasks, where it has achieved good results as well as acceptable computational complexity. So the proposed document representations are exploited the nf-idf style equation. In this work, distributional nouns are selected into three different ways. First method, the distributed nouns are integrated with relevance measures, and secondly, relevance based distributional nouns are incorporated with Heuristic function to find importance of attributes. The distributional noun representations are used to discriminate the Nouns and measure the semantic similarity between documents. This proposed feature selection method have been successfully applied for Text clustering with flocking algorithm, HCLK Means Clustering and evaluated the efficiency of our Document representation with both synthetic and a real datasets. It is found that the proposed algorithm identifies better feature sets and improves the clustering quality.

关键词： Distributed Noun attributes flocking algorithm HCLK Mean RiTa WordNet Relevance Measure Heuristic function

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Text Document Clustering with Distributed Noun with its compactness using Relevance Measure and Heuristic Function

Text Document Clustering with Distributed Noun with its comp...

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International Conference on Innovations in Information, Embedded and Communication Systems

作者： S. Vijayalakshmi D. Manimegalai Department of Computer Science Bharathiyar University Department of Information Technology National Engineering College

ISBN: (纸本)9781479968190

关键词： Distributed Noun attributes flocking algorithm HCLK Mean RiTa WordNet Relevance Measure Heuristic function

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Autonomous Formation Control and Target Tracking in Distributed Multi-agent System 3

Autonomous Formation Control and Target Tracking in Distribu...

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3rd International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Barve, Aabha Nene, Manisha J. Def Inst Adv Technol Dept Appl Math Pune Maharashtra India Def Inst Adv Technol Dept Comp Sci & Engn Pune Maharashtra India

ISBN: (纸本)9781479930807

A Multi-agent System can be considered as distributed system consisting of multiple interacting intelligent agents acting on a common environment. Agents in multi-agent system achieve the global objective of the system by controlling the local parameters of individual agent. Self-organizing, self-steering and self-configuring capabilities are highly desired in the functioning of a distributed system. Nature inspired flocking algorithms have the potential to introduce these capabilities in the functioning of distributed system due to their inherent emergent behaviour. The contribution of this paper is twofold. Firstly, a novel algorithm is proposed for achieving self-organized circular formation control while tracking a target. Second, the proposed algorithm is analyzed for performance parameters and is found to be efficient. Simulations are carried out and the proposed algorithm is verified.

关键词： Multi-agent System Formation Control Target Tracking flocking algorithm

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Distributed Noun Attribute Based on its First Appearance for Text Document Clustering 5

Distributed Noun Attribute Based on its First Appearance for...

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5th IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC)

作者： Vijayalakshmi, S. Manimegalai, D. NMSSVN Coll Dept Comp Applicat Madurai Tamil Nadu India Natl Engn Coll Dept Informat Technol Kovilpatti India

ISBN: (纸本)9781479939756

Selection of attributes plays a vital role to improve the quality of clustering. We present a comparative study on three attribute selection techniques and it reveals unattempt combinations, and provides guidelines in selecting attributes. It is occasionally studied in unsupervised learning;however it has been extensively explored in supervised learning. The suggested framework is primarily concerned with the problem of determining and selecting key distributional noun attributes, which are nominated by ranking the attributes according to the importance measure scores from the original noun attributes without class information. Experimental results on Reuter, 20 Newsgroup, WebKB and SCJC (Specific Crime Judgment Corpus) datasets indicate that algorithm with different scores in the context are able to identify the important attributes.

关键词： Distributed Noun Attributes flocking algorithm HCL-K Meanalgorithm FirstAppearance

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Observation of Synchronization Phenomena in Structured flocking Behavior

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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2013年第5期17卷 715-720页

作者： Yamauchi, Sho Kawamura, Hidenori Suzuki, Keiji Hokkaido Univ Grad Sch Informat Sci & Technol North 14 West 9 Sapporo Hokkaido Japan

flocking algorithms for multi-agent systems are distributed algorithms that generate complex formational movement despite having simple rules for each agent. These algorithms, known as swarm intelligence, are flexible and robust. However, to exploit these features to generate flexible behavior in an autonomous system, greater flexibility is needed. To achieve this, these algorithms are extended to enable arbitrary lattice formation. In addition, extended flocking algorithms can be assumed to be the aggregation of oscillators and observed the behavior of synchronization. It is difficult to explain the behavior of extended flocking algorithms as a consensus problem but, by assuming the flock as the set of oscillators, it can be explained as a synchronization phenomenon.

关键词： flocking algorithm autonomous system synchronization

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flocking Control of Multiple Autonomous Underwater Vehicles

Flocking Control of Multiple Autonomous Underwater Vehicles

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Annual IEEE India Conference (INDICON)

作者： Sahu, Basant Kumar Subudhi, Bidyadhar Dash, Basanta Kumar Ctr Ind Elect & Robot Natl Inst Technol Dept Elect Engn Rourkela 769008 India BPUT Ind Coll Engn Dept Elect Engg Bhubaneswar Orissa India

ISBN: (纸本)9781467322706;9781467322713

This paper presents flocking control algorithm for a group of Autonomous Underwater Vehicles (AUVs). A leader-follower flocking where, some AUVs are chosen as leaders which have global knowledge of desired track and other AUVs are chosen as followers which have only sensory capability to find the positions of neighbor AUVs without any global knowledge of desired path. The leader AUVs are desired to track the desired trajectory with the application of the proposed flocking controller and the follower vehicles are gradually attracted towards the leader vehicles so that the whole group tracks desired trajectory. In order to keep connected, the group approaches towards the flocking center whose position is estimated applying consensus algorithm with respect to the positions of the neighbor AUVs. The controller is developed using artificial potential functions (APF) such that the inter vehicle collision between AUVs is avoided. The efficacy of the developed controller is verified through simulation of four AUVs flocking in a group.

关键词： cooperative control consensus algorithm potential function graph theory flocking algorithm distributed control

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Nature-Inspired Self-Organization, Control, and Optimization in Heterogeneous Wireless Networks

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2012年第7期11卷 1207-1222页

作者： Zhang, Haijun Llorca, Jaime Davis, Christopher C. Milner, Stuart D. Univ Town Xili Harbin Inst Technol Shenzhen Grad Sch Dept Comp Sci Shenzhen 518055 Peoples R China Alcatel Lucent Bell Labs Holmdel NJ 07733 USA Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA Univ Maryland Dept Civil & Environm Engn College Pk MD 20742 USA

In this paper, we present new models and algorithms for control and optimization of a class of next generation communication networks: Hierarchical Heterogeneous Wireless Networks (HHWNs), under real-world physical constraints. Two biology-inspired techniques, a flocking algorithm (FA) and a Particle Swarm Optimizer (PSO), are investigated in this context. Our model is based on the control framework at the physical layer presented previously by the authors. We first develop a nonconvex mathematical model for HHWNs. Second, we propose a new FA for self-organization and control of the backbone nodes in an HHWN by collecting local information from end users. Third, we employ PSO, a widely used artificial intelligence algorithm, to directly optimize the HHWN by collecting global information from the entire system. A comprehensive evaluation measurement during the optimization process is developed. In addition, the relationship between HHWN and FA and the comparison of FA and PSO are discussed, respectively. Our novel framework is examined in various dynamic scenarios. Experimental results demonstrate that FA and PSO both outperform current algorithms for the self-organization and optimization of HHWNs while showing different characteristics with respect to convergence speed and quality of solutions.

关键词： Heterogeneous wireless networks mobile ad hoc networks directional wireless communication flocking algorithm particle swarm

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Formation Control for Multi-robots Based on flocking algorithm

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1st International Conference Intelligent Robotics and Applications

作者： Lei, Bin Li, Wenfeng Wuhan Univ Technol Sch Logist Engn Wuhan 430063 Peoples R China

ISBN: (纸本)9783540885160

This paper presents a flocking algorithm for multi-robots formation control in a free workspace with an target steering agent that takes the group target into account. The main idea is that uses flocking control algorithm to implement the "binds" model of Reynolds among multi-robots. Simulation results show that the proposed method ensure that the group formation is stabilized to a desired shape, while all the robots' velocities and directions converge to the same.

关键词： Multi-robots formation flocking algorithm flocking control

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FORBID: Cope with Byzantine Behaviors in Wireless Multi-Path Routing and Forwarding

FORBID: Cope with Byzantine Behaviors in Wireless Multi-Path...

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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Su, Xueyuan Peng, Gang Chan, Sammy Yale Univ Dept Comp Sci New Haven CT 06511 USA City Univ Hong Kong Dept Elect Engn Kowloon Peoples R China

ISBN: (纸本)9781424492688

Consider multi-path routing and forwarding scenarios in wireless ad hoc networks. Rational and Byzantine nodes both might deviate from the protocol. However, their intentions and behaviors are different. To extend our previous work on generalized second price (GSP) auction for stimulating rational nodes for cooperation, we propose FORBID mechanism in this work to cope with Byzantine behaviors. The core of the FORBID mechanism is a decentralized reputation system. Based on available evidence, each node relies on Bayesian inference to internally update its reputation beliefs that how reliable each other node is. Different from the passive overhearing techniques such as "watchdog", each source node under FORBID actively triggers detection process to collect evidence towards Byzantine behaviors. In addition, FORBID includes a flocking algorithm to allow careful dissemination of reputation information and thus shortens the misbehavior detection time.

关键词： Wireless ad hoc networks multi-path routing and forwarding Bayesian inference flocking algorithm

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A Fast Formation flocking Scheme for a Group of Interactive Distributed Mobile Nodes in Autonomous Networks

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MOBILE NETWORKS & APPLICATIONS 2010年第4期15卷 477-487页

作者： Xiong, Naixue Zhang, Yan Yang, Laurence T. Yeo, Sang-Soo Shu, Lei Yang, Fan Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Simula Res Lab Martin Linges Fornebu Norway St Francis Xavier Univ Dept Comp Sci Antigonish NS B2G 1C0 Canada Mokwon Univ Taejon South Korea Natl Univ Ireland Digital Enterprise Res Inst Galway Ireland Zhongnan Univ Econ & Law Sch Informat Wuhan Peoples R China

Ubi-Com promises to provide a diversity of services at anytime and anyplace. The mobile nodes are envisioned to cooperate freely and move on a plane with the help of the efficient control and distributed coordination strategies. To achieve this goal, mobile nodes group communications in Ubi-Com is becoming increasing important and challenging. In this paper, we focus on the formation flocking in a group of autonomous mobile nodes. In the scenario, there are two kinds of nodes: the leader node and the follower nodes. The follower nodes are required to follow the leader node wherever it goes (following), while keeping a particular formation they are given in input (flocking). A novel scheme is proposed on the basis of the relative motion theory. Extensive theoretical analysis and simulation results have demonstrated that this scheme provides the follower nodes an efficient and timely method to follow the leader with the shortest path and the shortest time. In addition, the reported scheme is scalable in the sense that the processing load in each node is not increasing with more nodes in a group.

关键词： distributed system mobile nodes flocking algorithm motion theory control and coordination

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