• 전기학회논문지
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• 제58권4호
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• pp.824-831
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• 2009

This paper proposes an obstacle avoidance algorithm for an autonomous mobile robot. The proposed method based on the circular navigation with probability distribution finds local-paths to avoid collisions. Futhermore, it makes mobile robots to achieve obstacle avoidance and optimal path planning due to the accurate decision of the final goal. Simulation results are included to show the feasibility of the proposed method.

• KIEE International Transactions on Power Engineering
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• 제2A권3호
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• pp.89-94
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• 2002

In this paper, a protection system using a Multi-Agent concept for power distribution networks is proposed. Every digital over current relay(OCR) is developed as an agent by adding its own intelligence, self-tuning and communication ability. The main advantage of the Multi-Agent concept is that a group of agents work together to achieve a global goal which is beyond the ability of each individual agent. In order to cope with frequent changes in the network operation condition and faults, an OCR agent, suggested in this paper, is able to detect a fault or a change in the network and find its optimal parameters for protection in an autonomous manner considering information of the whole network obtained by communication between other agents. Through this kind of coordination and information exchanges, not only a local but also a global protective scheme is completed. Simulations in a simple distribution network show the effectiveness of the suggested protection system.

• 한국멀티미디어학회논문지
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• 제12권12호
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• pp.1819-1826
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• 2009

To enhance the automatic performance of existing predicting and planning algorithms that require a predefined probability of the states' transition, this paper proposes a multiple sequence generation system. When interacting with unknown environments, a virtual agent needs to decide which action or action order can result in a good state and determine the transition probability based on the current state and the action taken. We describe a sequential behavior generation method motivated from the change in the agent's state in order to help the virtual agent learn how to adapt to unknown environments. In a sequence learning process, the sensed states are grouped by a set of proposed motivation filters in order to reduce the learning computation of the large state space. In order to accomplish a goal with a high payoff, the learning agent makes a decision based on the observation of states' transitions. The proposed multiple sequence behaviors generation system increases the complexity and heightens the automatic planning of the virtual agent for interacting with the dynamic unknown environment. This model was tested in a virtual library to elucidate the process of the system.

• 한국시뮬레이션학회논문지
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• 제17권2호
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• pp.49-61
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• 2008

대부분의 함정 전투체계의 교전 시뮬레이션은 필수적으로 운용자(통제관 및 대항군)가 포함될 수밖에 없음으로 인해 시뮬레이션은 실시간 정도의 저속이며, 시뮬레이션 결과도 객관적인 평가가 어렵다. 이러한 문제를 다루기 위해 본 논문에서는 인간 대신 다중 에이전트 시스템을 이용하는 에이전트 기반의 함정전투 M&S 시스템을 제안한다. 에이전트기반 M&S 시스템은 인간의 개입을 배제하고 자율적 추론기능을 제공함으로써 전투체계의 효과도 분석 및 운용전술개발 등께 대한 효과적인 지원을 가능하게 해준다. 본 논문에서는 이를 위하여 첨단 M&S 프레임워크와 자율 에이전트 설계 원칙을 도입함으로써 인간 미개입형 M&S 시스템 설계 개념과 방법론을 제시하였고, 서해교전상의 함정전투 사례연구를 통해 그 타당성을 검증하였다.

• 한국정밀공학회지
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• 제29권4호
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• pp.373-379
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• 2012

Disruptions in manufacturing systems caused by system changes and disturbances such as the tool wear, machine breakdown, malfunction of transporter, and so on, reduce the productivity and the increase of downtime and manufacturing cost. In order to cope with these challenges, a new method to build an intelligent manufacturing system with biological principles, namely an ant colony inspired manufacturing system, is presented. In the developed system, the manufacturing system is considered as a swarm of cognitive agents where work-pieces, machines and transporters are controlled by the corresponding cognitive agent. The system reacts to disturbances autonomously based on the algorithm of each autonomous entity or the cooperation with them. To develop the ant colony inspired manufacturing system, the disturbances happened in the machining shop of a transmission case were analyzed to classify them and to find out the corresponding management methods. The system architecture with the autonomous characteristics was generated with the cognitive agent and the ant colony technology. A test bed was implemented to prove the functionality of the developed system.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권10호
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• pp.955-972
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• 2003

최근 몇 년간 소프트웨어 에이전트가 소프트웨어 공학의 새로운 추상화 단위로서 연구되고 있다. 자율성, 적응성, 협력성 등의 속성을 갖는 에이전트는 특히 분산 시스템, 오픈 시스템, 복잡한(complex) 시스템 등의 영역에서 시스템을 구성하는 새로운 추상화 단위로서 이해되고 있다. 그러나 에이전트에 관한 개념과 특성에 관한 연구가 꾸준히 진행되고 있음에도 불구하고, 에이전트의 다양한 속성과 에이전트 아키텍처에 대한 표준화의 부재로 인해 현재까지 일반화된 에이전트 아키텍처가 제시되지 않고 있다. 에이전트 아키텍처는 시스템의 분석과 설계 시 에이전트 추출의 기준을 제시하고, 전체 소프트웨어 아키텍처를 결정하는 중요한 요소가 된다. 또한 규정된 에이전트 아키텍처는 재사용 가능한 산출물로서 세부 기능을 확장할 수 있는 구조적 틀을 제공하고 개발 공정 전체를 효율적으로 이끌 수 있다. 본 논문에서는 이 같은 연구의 필요성을 바탕으로 객체 지향 설계 방법을 이용하여, 자율성 및 상호작용성을 위한 에이전트 아키텍처 설계 방안을 제시하고자 한다. 자율성과 상호작용성을 에이전트의 일반적인 속성으로 규정하고, 객체 지향 설계 방법을 이용하여 에이전트 아키텍처 설계 방안을 제시한다.

• 대한전기학회논문지:전력기술부문A
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• 제55권6호
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• pp.227-235
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• 2006

In this paper, autonomous separation methodology of faulted section based on network is proposed newly, which can minimize the outage effect as compared with the existing center-based faulted section separation method by determining and separating autonomously the faulted section by the free operation information exchange among IEDs on the feeder of distribution system. The all IEDs is designed in network in which client/server function is possible in order to separate autonomously the faulted section using PtP(Peer to Peer) communication. Also, Inference based solution of IED for the autonomous faulted section separation is designed by rules obtained from the analyzing results of distribution system topology. Here, the switch IEDs transmit on network the fault information utilizing on multi-casting communication method, at the fame time, determine selfly whether they operates or not by inferencing autonomously the faulted section using the inference-based solution after receiving the transmitted information. Finally, in order to verify the effectiveness and application possibility of the proposed methodology, the diversity fault cases are simulated for the typical distribution system.

• 한국항공운항학회지
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• 제30권2호
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• pp.34-43
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• 2022

In Efforts to prevent CFIT accidents so far, have been emphasizing various education measures to minimize the occurrence of human errors, as well as enforcement measures. However, current engineering measures remain in a system (TAWS) that gives warnings before colliding with ground or obstacles, and even actual automatic avoidance maneuvers are not implemented, which has limitations that cannot prevent accidents caused by human error. Currently, various attempts are being made to apply machine learning-based artificial intelligence agent technologies to the aviation safety field. In this paper, we propose a deep reinforcement learning-based artificial intelligence agent that can recognize CFIT situations and control aircraft to avoid them in the simulation environment. It also describes the composition of the learning environment, process, and results, and finally the experimental results using the learned agent. In the future, if the results of this study are expanded to learn the horizontal and vertical terrain radar detection information and camera image information of radar in addition to the terrain database, it is expected that it will become an agent capable of performing more robust CFIT autonomous avoidance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.154-154
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• 2000

The cooperative strategy for the teleoperated multi-agent system is presented. And this scheme has been applied to the teleoperated robot soccer system that is newly proposed. For the teleoperated robot soccer system, we made mapping functions to control a 2-wheeled mobile robot using a 2 DoF stickcontroller. The simulation with a real stickcontroller has been evaluated the performance of the proposed mapping function. Then, the basic cooperation strategy has been tested between teleoperated robot and autonomous robot It is shown that the multi-agent system for teleoperation can have a good performance for a job Like a scoring a goal

• The Plant Pathology Journal
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• 제34권3호
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• pp.171-181
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• 2018

Fruit rot is the principal phytopathological problem of pipiana pumpkin (Cucurbita argyrosperma Huber) in the state of Guerrero. The aims of this research were to 1) identify the causal agent of southern blight on pumpkin fruits by morphological, pathogenic, and molecular analysis (ITS1, 5.8S, ITS2); 2) evaluate in vitro Trichoderma spp. strains and chemical fungicides; and 3) evaluate under rainfed field conditions, the strains that obtained the best results in vitro, combined with fungicides during two crop cycles. Number of commercial and non-commercial fruits at harvest, and seed yield ($kg\;ha^{-1}$) were registered. Morphological, pathogenic and molecular characterization identified Sclerotium rolfsii as the causal agent of rot in pipiana pumpkin fruits. Now, in vitro conditions, the highest inhibition of S. rolfsii were obtained by Trichoderma virens strain G-41 (70.72%), T. asperellum strain CSAEGro-1 (69%), and the fungicides metalaxyl (100%), pyraclostrobin (100%), quintozene (100%), cyprodinil + fludioxonil (100%), and prochloraz (100%). Thiophanate-methyl only delayed growth (4.17%). In field conditions, during the spring-summer 2015 cycle, T. asperellum strain CSAEGro-1 + metalaxyl, and T. asperellum + cyprodinil + fludioxonil, favored the highest number of fruits and seed yield in the crop.