• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.467-470
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• 2004

MANPro-based control is a novel control paradigm aimed at intelligent manufacturing systems on the basis of mobile agent-based negotiation process (MANPro). MANPro is a negotiation mechanism based on the agent-based control architecture and, especially, it adapts a mobile agent system called N-agent for the negotiation process. N-agent travels around the network of distributed manufacturing systems to acquire information, and it makes a decision for system control according to the obtained information. MANPro includes communication architecture and information architecture for intelligent shop floor control. MANPro also considers the following issues: (1) negotiation mechanism, (2) single-agent internal strategic policies, and (3) information model. Communication architecture concerns the first issue of the negotiation mechanism. It provides information exchanging mechanism with functional modules. In specific, N-agent is equipped with an intelligent reasoning engine with a built-in knowledge base. This reasoning engine is closely related to the single-agent internal strategic policies of the second issue. Finally, ontology-based information architecture addresses information models and provides a framework for information modeling on negotiation. In this paper, these three issues are addressed in detail and a framework of MANPro-based control is also proposed.

• 한국정보통신학회논문지
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• 제5권1호
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• pp.173-182
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• 2001

본 논문에서는 이종 분산 지식기반 시스템을 구축하는데에 온톨로지가 어떤 역할을 하는지에 대해 논의한다. 먼저 다중 에이전트 시스템 기반 지식 공유와 재사용의 구조물인 지식사회에서 온톨로지와 에이전트간 관계를 논의하는데 온톨로지는 각 에이전트에 있어 지식사회에 연결되기 위한 최소한의 요구조건이다. 둘째로 지식사회에서 온톨로지가 어떻게 사용되고 있는가를 보여주기 위해 온톨로지에 의한 중재를 설명한다. 중재자라 불리는 특별한 에이전트는 주소가 없는 메시지들을 분석해서 온톨로지와 상의하고 온톨로지와 에이전트간 관계를 참고로 해서 수신후보 에이전트들을 추론한다. 셋째, 개념화 방식을 나타낼 수 있는 각 상황들의 결합으로서 온톨로지를 모델링한다. 상황통합을 의미하는 결합상황 혹은 상황선택을 의미하는 범주 상황으로서 상황들이 결합된다. 상황에 의한 온톨로지는 실세계 현상에 대한 이종 다중 기술을 허용하기 때문에 이종 지식기반시스템에게는 적합하다. 또한 다중상황을 해석하는 방식으로서 메시지 번역을 보여준다. 번역에이전트는 상황들의 종속성을 분석하여 어떤 상황을 가진 메시지를 다른 상황을 가진 메시지로 번역할 수 있다. 에이전트들을 쉽고 자연스럽게 구축하기 위해서 메시지의 중재와 번역은 중요한데 각 에이전트에 대하여 다른 에이전트들에 대한 지식이 덜 요청되기 때문이다.

• 한국응용과학기술학회지
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• 제17권2호
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• pp.126-131
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• 2000

Transdermal therapeutic system(TTS) is often used as the method of drug dosage into the epidermic skin. Natural polymer were selected as ointment material of TTS. We investigated the permeation of natural polymer ointment containing drug in rat skin using horizontal membrane cell model. Permeation properties of materials were investigated for water-soluble drug such as oxiniacic acid in vitro. These results showed that skin permeation rate of drug across the composite was mainly dependent on the property of ointment base and drug. Proper selection of the polymeric materials which resemble and enhance properties of the delivering drug was found to be important in controlling the skin permeation rate. This result suggests a possible use of natural polymer ointment base as TTS of antihyperlipoproteinemic agent.

• 한국응용과학기술학회지
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• 제25권2호
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• pp.123-129
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• 2008

Transdermal therapeutic system(TTS) is often used as the method of drug dosage into the epidermic skin. Natural polymer were selected as ointment material of TTS. We investigated the permeation of natural polymer ointment containing drug in rat skin using horizontal membrane cell model. Permeation properties of materials were investigated for water-soluble drug such as Nicotinic acid N-oxide in vitro. These results showed that skin permeation rate of drug across the composite was mainly dependent on the property of ointment base and drug. Proper selection of the polymeric materials which resemble and enhance properties of the delivering drug was found to be important in controlling the skin permeation rate. This result suggests a possible use of natural polymer ointment base as TTS of antihyperlipoproteinemic agent.

• Journal of Communications and Networks
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• 제5권3호
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• pp.240-248
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• 2003

This paper analyzes mobile agent performance in network management compared to the client-server model used in the Simple Network Management Protocol (SNMP). Prototypes of an application that gathers MIB-II (Management Information Base-II) variables have been created and tested on a LAN. After acquiring implementation parameters related to network management and to the mobile agent infrastructure, simulation results have been obtained on large topologies similar in shape to the Internet. Response time results show that mobile agents perform better than SNMP when the number of managed elements ranges between two specific limits, an inferior bound and a superior one, determined by the number of messages that pass through a backbone and by the mobile agent size which grows along with MIB-II variables collected on network elements. The results also show that a significant improvement is achieved when the mobile agent returns or sends data to the management station after visiting a fixed number of nodes.

• 대한화장품학회:학술대회논문집
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• 대한화장품학회 2003년도 IFSCC Conference Proceeding Book I
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• pp.698-699
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• 2003

DA-3711 is a novel, anti wrinkle agent containing growth factors derived from human skin culture. In this study, effect of topical application of DA-3711 on chronic ultraviolet B (UVB)-induced skin damage was evaluated in hairless mice model. Exposure to UVB for 8 weeks induced apparent wrinkles on the back skin of the mice. The dorsal surfaces were exposed to UVB for a further 8 weeks, during which the surfaces where treated daily by topically application of a lotion containing either 35％ or 70％ of DA-3711. For comparison, lotion base, lotion base containing Cylasphere Retinol(equation omitted) (2500 I.U., Coletica) and NouriCe $l^{(R)}$ (Biozhem) were applied topically once a day for 8 weeks.(omitted))

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 춘계정기학술대회 e-Business를 위한 지능형 정보기술 / 한국지능정보시스템학회
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• pp.398-413
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• 2000

본 논문의 목적은 유사도와 강화 학습을 사용하여, 정보를 제공하는 에이전트와 정보를 요청하는 에이전트간의 연결을 매개하는 조정 에이전트(Coordination Agent, Middle Agent) 구현 방식을 제안하는데 있다.본 논문에서는 질의 에이전트의 질의와 가장 밀접한 정보를 제공하는 것으로 판단되는 정보 에이전트를 찾는 방안을 제안하고자 한다. 정보 에이저트와 질의 에이전트는 조정에이전트에 정보를 등록·요청할 때, 조정 에이전트에 이미 존재하는 기본 오톨로지(Base Ontology)에 자신이 제공·질의하는 정보의 상대적 가중치를 함께 등록한다. 조정 에이전트는 질의 에이전트와 정보 에이전트의 가중치를 고려하여 유사도를 구하고, 구해진 유사도를 이용하여 가장 근접한 정보를 제공하는 정보 에이전트를 찾아 연결한다. 가중치를 제공하지 않는 질의 에이전트의 경우에는 강화 학습으로 얻어진 특성 자료를 이용하여 조정 에이전튼가 임의로 가중치를 구하고, 얻어진 결과에 대하여 타당성을 검증한다.

• 한국정보처리학회논문지
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• 제6권5호
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• pp.1332-1341
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• 1999

Rapid expansion of network and increment of computer system access cause computer security to be an important issue. Hence, the researches in intrusion detection system(IDS)are active to reduce the risk from hackers. Considering IDS, we propose a new IDS model(DABIDS : Distributed Agent Based Intelligent intrusion Detection System) based on distributed intrusion detecting agents. The DABIDS dynamically collects intrusion behavior knowledge from each agents when some doubtable behaviors of users are detected and make new agents codes using intrusion scenario data base, and broadcast the detector codes to the distributed intrusion detecting agent of all node. This DABIDS can efficiently solve the problem to reduce the overhead for training detecting agent for intrusion behavior patterns.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.447-447
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• 2000

This paper proposes an Object-oriented model for Generic Equipment Model(GEM) which is applied to semiconductor processing Equipment. A proposed implementation model for GEM consists of three modules : a module to convert SECS-II message and a module to transmit messages between GEM and a physical equipment. The proposed Object-oriented model for GEM has advantages in reuse and user management from the point of view of development program. Especially, this paper proposes a GEM agent COM, which is a base of GEM, transmits messages and events among modules. This Object-oriented model is analysed and developed by using UML.

• Asia pacific journal of information systems
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• 제32권2호
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• pp.226-248
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• 2022

The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.