Application Of Multi-agent Technology Research Articles

Application of Multiagent Technology in Intelligent Distributed Sports Training Simulation System

Multiagent technology, as a conceptual model commonly used in intelligent systems, has now had a lot of related research, and it is also widely used in sports training simulation systems. This paper mainly studies the development of the sports training simulation system based on agent technology. This paper proposes the motion perception system of multiagent technology in sports training. In the research, this paper introduces the related concepts and methods of agent in detail. In order to better simulate the changes of human joints during exercise with the system, this article uses a variety of comparison methods. Among them, the experiment of the imaging analysis module is carried out through the simulation of the simulation system. The experimental results show that the role of multiagent in the simulation system is huge. In linear motion, the accuracy of joint extraction has reached more than 95%. The extraction of joints in the curve movement reached more than 80%, indicating that it can not only complete the relevant processing adaptively but also predict and correct the exercise process of the trainer. Therefore, in the research of sports training simulation system, more attention should be paid to the research of curve motion.

An Intelligent Security Defensive Model of SCADA Based on Multi-Agent in Oil and Gas Fields

Supervisory Control and Data Acquisition (SCADA) system in the modern industrial automation control network is facing an increasing number of serious security threats. In order to meet the security defense requirements of oil and gas SCADA system, an intelligent security defense model based on multi-agent was designed by analyzing the security risks in oil and gas SCADA system and combining the advantages of multi-agent technology in distributed intrusion detection system. First, the whole structure of this model was divided into three layers: monitoring layer, decision layer and control layer. Then, the defense model was verified by C4.5 decision tree algorithm, and obtained a good result. Finally, the security defense prototype system of large-scale oil and gas SCADA system based on this model was realized. Results demonstrate that the application of multi-agent technology in the security defense of oil and gas SCADA system can achieve more comprehensive defense, more accurate detection, which can handle large-scale distributed attacks and improve the robustness and stability of security defenses. This study makes full use of the multi-agent architecture and has the advantage of accurate detection, high detection efficiency and timely response.

Application of multi-agent technologies in the field of human cognitive activity components coherence and artificial agents in the construction of individual educational and research trajectories

Application of multi-agent technologies in the field of human cognitive activity components coherence and artificial agents in the construction of individual educational and research trajectories

Application of Multi-agent Technology in the Scheduling System of Swarm of Earth Remote Sensing Satellites

The paper studies the problem of scheduling a group of Earth remote sensing satellites. The following idea is proved: development of Earth remote sensing systems needs changing of approach to planning of their application. Problem statement is described. As criteria of efficiency, information delivery time, resolution and cost of request execution are used. The schedule has to comply with the following constraints: visibility between satellites, observation areas and data receiving points, storage capacity of the memory unit as well as coordination of operations on shooting, storing, transmitting and receiving data. Review of ways of problem solution is provided. Implementation of the approach has been suggested, where the sought schedule is built as dynamic balancing of interests of satellites, data receiving points and observation area agents. Multi-agent planning system is developed. Architecture of the system is described as well as functions of the modules it includes. Dynamically occurring events are taken into account when planning, including introduction of a new task or change of task options, failure of a satellite or means of communication. The experimental assessment of time spent on recovery of the damaged schedule is given. In conclusion benefits of the multi-agent approach at management of swarm of Earth remote sensing satellites are provided.

Research on Quality Grade Classification Method of Daily-use Porcelain Based on Multi-agent Technology

Due to the influence of factors such as environment, materials and so on in the ceramic production process, different levels and different kinds of defects such as crack, fall slag, deformation, roast flower sticky glaze and so on appeared on ceramic products. In this case, the artificial discerning and classification efficiency is very low. In order to improve ceramic products quality classification efficiency and intelligent level, a kind of method of applying multi-agent technology to ceramic products quality grade classification is presented, and the ceramic classification system structure and function implementation scheme based on multi-agent technology are also given in the paper. At the same time, Kalman filtering algorithm and C4.5 classification algorithm is effectively fused to process data by the multi-agent. In the end, an application example is given. Through applying the method proposed to the sampling daily-use porcelain classification, the result shows that the method proposed is effective and feasible in the daily-use porcelain classification. This will provide a new approach and new idea for the application of multi-agent technology to the ceramics field.

Application of Multi-Agent Technology in Micro-Grid System

Application of Multi-Agent Technology in Micro-Grid System

A Design of a Multi-Agent Smart E-Examiner

this paper proposes a design of an application of multi agent technology on a semantic net knowledge base, to build a smart e-examiner system. This e-examiner could be used in building and grading a personalized special on-line e-assessment. The produced e-assessment should cover the majority of examined topics and material. It should cover various levels of difficulties and learners profile(s). The e-examiner will use a semantic net question bank, to emphasize on the structuring categories of all course domains. This task is done through four different intelligent agents: control agent, personal agent, examiner agent, and grading agent. The system might select questions from a bank of questions for several courses. It could be used in different education levels and natures. Also, it will produce a key for the produced exam, to be used latter in grading, and giving final marks of e-assessments.

SOFTWARE IMPLEMENTATION OF INFORMATION-EDUCATIONAL SPACE BASED ON MULTI-AGENT TECHNOLOGY AND ONTOLOGICAL APPROACH

The article discusses of the software implementation of information-educational space, based on application of multi-agent technology. The procedure of formation of educational programs in networked learning environment in accordance with the actual needs of educational institutions and students, described in terms of ontology of competencies, subject ontology and ontology of educational activities, was described. The procedure of formation of schedule of educational program, based on collective use in educational processes of distributed information resources (learning objects and services), was determined.

Application of Multi-Agent Technology in Decision Supporting

In the study, the development course and present situation of decision support technology is analyzed, and now decision support technology is lack and it is need to solved, it should combine the benefits of artificial intelligence as in the people's way of thinking to solve practical problems. In addition it also needs to have the ability to identify problems, and skills of dealing with distributed collaboration. The Multi-Agent technology in decision support research is introduced, the decision support is based on the Multi-Agent technology, and in order to demonstrate it can meet the specific needs of today's decision support, it analyzes the process of its implementation applying agent modeling theory, the behavior of the agent coordination mechanism and communication mechanism between the agents and so on, and puts forward the corresponding implementation scheme. Finally the effectiveness of the proposed technology and feasibility are analyzed, related results show that it can be applied in the actual decision support. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3970

Multi-Agent Technology Application in the ASCM Model

The bottlenecks of supply chain management need to be solved. The development of internet promotes the Agent technology. Internet makes the Agent technology become a powerful tool that breaks through the bottlenecks of the supply chain management skills. With the guidance of system engineering and methods, an agile supply chain management system with Agent technology of artificial intelligence is presented in this paper. The application of Multi-Agent technology in the ASCM model is discussed also. Results indicate that the application of Multi-Agent skill in the ASCM model is a feasible way of thinking and appropriate approach.

The Application of Multi-Agent Technology in the Fault Diagnosis System of Motor Armature

Insufficient welding or bad welding of motor armature is one of the main faults of motor armature. With the help of the application of multi-agent technology in the fault diagnosis system of motor armature to detect insufficient welding or bad welding, the intelligent description of the various faults has been enhanced, also, the capacity of fault diagnosis of the system have been greatly optimized and improved. In this paper, we first analyses the characteristics of the fault of motor armature with insufficient welding or bad welding, by which the characteristics of the fault are identified. Next, we introduces agent and multi-agent system. Finally, the building of fault diagnosis system based on multi-agent technology is discussed.

The Application of Multi-Agent Technology in the ASCM Model

The development of internet promotes the Agent technology. It makes Agent technology become a powerful tool that breaks the bottlenecks of the supply chain management skills. With the guidance of systems engineering and methods of thinking, using Agent technology of artificial intelligence, we study on the supply chain management systems to build a model for applications. The results indicate that the application of Multi-Agent skill in the ASCM model is a feasible way of thinking and approaches.

The Application of Multi-Agent Technology on Transient Stability Assessment of Iraqi Super Grid Network

The aim of this research is improving the Iraqi control center's capabilities for monitoring and controlling the electrical network by adopting the properties of multi-agent technology to enhance power system transient stability. The idea was demonstrated by two agent's strategy, the first agent is a prediction one that will predict power system instability by a transient stability program using the PEBS method, the second strategy agent is a control agent which use the methodology of increasing power transfer through the healthy portion of network during disturbances by a load flow program using fast decoupled method. The proposed strategies are applied to a realistic power system, the Iraqi supper Grid electrical network. Results show that the proposed technique is very powerful for power system instability prediction and control.

Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems

When a fault occurs in a power system, the protective relays detect the fault and trip appropriate circuit breakers, which isolate the affected equipment from the rest of the power system. Fault diagnosis of power systems is the process of identifying faulty components and/or sections by analysing observable symptoms (telemetry messages). As the domain is characterised by dynamic situations, extensive telemetering, complex operations, and distribution of lines and substations over a large geographical area, it is difficult to tackle fault diagnosis problems through the strength and capability of a single intelligent system. This paper describes an experimental multi-agent system developed for and aimed at a computer-supported fault diagnosis in electricity distribution networks. The system is based on a hierarchy of five agents that cooperate with each other to diagnose a fault. A set of detailed case studies is presented, and the results obtained suggest that an agent-based approach is very efficient and has a good potential for real-time application.