Authors: Samuel David Iyaghigba, Oluwatumise Shadrack Asere, Abdussalam El-Suleiman, Akanimo Jimmy Ukim, Sadiq Thomas
Abstract: The use of Unmanned Aerial Vehicles (UAVs) is increasing as their usage enhance many activities in our modern world. These include their specific roles in warfare, surveillance, agricultural activities, entertainments with attendant economic importance. In areas grappling with insecurity challenges due to banditry, kidnappings, oil spillage and theft, farmers and herdsmen clashes, utilizing more than one UAV in an area for surveillance is not only good but more advantageous. If many UAVs are used in an area at the same time, they are termed swarm or group of UAVs. Their operations in this manner, are seen as more scalable and reliable mode of using UAVs in current and future applications. Thus, usage of multiple UAVs that operate together as a cohesive unit are redundant and scalable, performing tasks that would be challenging or inefficient for a single UAV to accomplish. However, operating a group of UAVs as one unit can become expensive and risky if they are not properly coordinated. The UAVs may collide, causing catastrophic damage and requiring costly repairs. The need for autonomous coordination therefore comes from the vast number of vehicles, which might be intrinsic members of the system as a whole. Also, all UAVs in the swarm are to contribute to the effective execution of task without wasting resources. These imply that an intelligent coordination algorithm that implements awareness for swarm UAVs to avoid risky states is required. This paper presents the development and implementation of an algorithm for intra-swarm collision avoidance by treating each UAV in a swarm unit as individual agent capable of a homogenous number of tasks modelled as contours using their field of view and received signal strength indication.
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Abstract: The purpose of this study is to investigate the freeze-thaw resistance, one of the most important durability indicators, of high-performance concrete made of fibers (nylon and polypropylene), AE agent, viscosity agent, and fly ash, an industrial by-product. While FN-1 showed the best freeze-thaw resistance with an about 2.8% relative dynamic modulus of elasticity, PV-2 showed the worst results, with an about 7.4% modulus, in comparison tests with GC. Most of the test samples showed better compressive strength than GC. Especially, N-1 showed the greatest compressive strength increase of 8%. Also, the test samples mixed with FA and PP showed a 2-4% compressive strength increase effect.
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Authors: Jin Chang Wan, Tao Cheng
Abstract: With the bottlenecks of traditional manufacturing technology becoming increasingly prominent, manufacturing industry need to adjust and upgrade the industrial structure, and intelligent manufacturing is the future development direction of manufacturing industry. According to the characteristics of complex, open system hierarchy structure and distributed multi agent of intelligent manufacturing, in order to solve the problem of information integration and collaborative processing of the organic elements of intelligent manufacturing collaborative perception process, it is necessary to give the autonomy of intelligent manufacturing entities to make it to form a fully functional agent, and these agents are connected to the communication network as a network node, so as to realize the data sharing and collaborative awareness processing function between the intelligent manufacturing body. Therefore, this article build the intelligent manufacturing system based the multi Agent and Storm-Hadoop distributed cluster framework through the research and analysis of distributed artificial intelligence and distributed cluster mechanism, and provides a collaborative framework based on multi Agent and Storm-Hadoop for information integration, data sharing, collaborative processing of collaboration awareness problem for multi manufacturing subjects of intelligent manufacturing. The simulation results shows that the cooperative sensing framework proposed in this paper can provide an effective information, data and knowledge processing mechanism and method for realizing multi subject intelligent manufacturing collaborative awareness.
192
Authors: Jiří Bobek, Petr Lenfeld, Jiří Habr, Martin Seidl, Luboš Bĕhálek
Abstract: Still more and more applications using synthetic polymers find new material alternative in materials based on synthetic polymer filled with nature fibers mainly plant fibers. Not only in common applications but also in technical applications is possible to use nature fiber composites. But some additional modifications are necessary to perform to gain properties possible to use in technical applications. Mainly increasing adhesion between matrix and fibers is the most common intent of these additional operations. This paper deals with maleic anhydride based coupling agent and silane coupling agent effect in the polypropylene matrix and jute fiber composite and its mechanical properties. By using of silane coupling agents was achieved mechanical properties which are possible to compare with composites with glass fibers mechanical properties mainly in case of the flexural and tensile modulus and mainly was gained significant increasing of composite production system stability.
52
Abstract: Multi-agent systems are used mainly in IT solutions and control groups of robots. From the point of view of classical control architectures, they are a kind of distributed systems in which nodes perform advanced algorithms, usually associated with the technology of artificial intelligence, and they can be considered as agents. The article describes the multi-agents control system of objects of uniaxial movements. An example of such a system to control a repository with movable racks with electric motors is presented. Each rack acts as an agent through the implemented control of the resources of embedded microcontrollers. Such a system provides high quality control, guaranteeing long-lasting, trouble-free operation while maintaining the safety of both service and stored items.
183
Abstract: In order to solve the limitation of the research about enterprise evolution modeling and simulation, the idea of applying complex adaptive system theory and agent-based computational finance method to the enterprise research was proposed. Secondly, an applied model of Agent-based enterprise evolution was built. Finally, the simulation program of enterprise evolution based on swarm was built, which simulate the dynamic competitive behavior and evolvement of enterprise, the result of the simulation was analyzed.
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Authors: Qun Xiu Yu, Shou Ming Zhang, Gui Hong Bi, Chun Tao Wei
Abstract: This article carries on a research about spreading and imitating based on network modal of dynamic, complex and comparing various Agents. The Agent regarded as drug complex network nodes and combine Agent itself functions. Propose a dynamic complex network technology combined with Agent simulation model based on fuzzy cognitive map to study the spread of HIV. Using fuzzy cognitive map design with independent learning ability node agent based on personal emotion and cognition, agent considers the individual perception of the epidemic of surrounding environment, social discrimination, legal constraints strength, national testing and treatment, free needle exchange extrinsic and intrinsic factors in the environment of individual course, emotion, etc., Under the combined effect of individual values derived drug fuzzy cognitive map. Develop individualized decision rules to circumvent virus. This article studied the impact of fuzzy cognitive and social discrimination and legal factors on HIV transmission.
428
Authors: Anna Danuta Dobrzańska-Danikiewicz, Agnieszka Sękala
Abstract: This article presents the analysis of a possibility of application of agent-based technology in the e-manufacturing environment. The philosophy of e-manufacturing is a response to the demand of gaining the competitive advantage as a result of a simultaneous reduction of goods/materials in stock and the increase of the quality level of customer service. It consists in the complete integration of the company’s environment, i.e. the areas connected with production and the areas related to company’s administration and management. It may be done on the basis of communication applying cutting-edge IT technology with the use of intelligent IT techniques. Agent-based systems constitute a relatively new approach to analysing, designing as well as implementing scattered applications meant to be used in the dynamic environment of e-manufacturing.
781
Authors: Rui Dai, Xiang Xu, Chang Feng Shi, Yi Lu
Abstract: The intelligent information retrieval model based on multi-agent imitates and synthesizes the features of search engine and information retrieval in the website. It realizes high recall-precision and high precision of the retrieval effectively, and has good flexibility and expansibility. It is convenient for users to configure and choose target source of retrieval.
139
Authors: Jian Wei Ye, Xu Lu Jiao, Zhi Kai Xu
Abstract: Trust is the foundation of all kinds of Internet activity. As a more open resource sharing model, cloud computing environment consists of mass resource owners and users belonged to different control domain. Therefore, the establishment of the trust relationship among the participants and the guarantee of security and efficiency in the computing process are one of the most fundamental problems of cloud computing security. This paper proposes a two-Layer hybrid trust mechanism based on agent trust. In my proposition, trust relationship is relayed and secure computing environment is established among the different participants by the various existing trust methods.
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