• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.412-415
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• 2018

본 논문에서는 영상 기반 대화 연구를 위한 기존 GuessWhat?! 게임 환경의 한계성을 보완한 새로운 GuessWbat+ 게임 환경을 소개한다. 또 이 환경에서 동작하는 대화 에이전트를 위한 정책 기울기 기반의 심층 강화 학습 알고리즘인 MRRB의 설계와 구현에 대해서도 설명한다. 다양한 실험을 통해, 본 논문에서 제안한 GuessWbat+ 환경과 심층 강화 학습 알고리즘의 긍정적 효과를 입증해 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.895-898
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• 2004

메시지를 이동 에이전트에 전달하기 위해서는 이동 에이전트의 위치를 추적할 수 있는 기능이 있어야 한다. 이동 에이전트의 위치를 추적할 수 있는 정보를 저장하는 방법에 따라 위치 정보를 갱신하는 비용과 메시지 전송 비용이 정해진다. 본 논문은 이동 에이전트 시스템에서 도메인 기반의 프록시를 이용한 효율적인 위치 정보 추적 방법을 제안하였다. 이동 에이전트들이 이동 시에 무작위로 호스트를 결정하지 않고 같은 도메인에 있는 호스트들을 먼저 방문하는 특징을 이용하여 위치 정보 갱신 비용과 메시지 전송 비용을 최소화 하는 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.365-368
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• 2004

본 논문에서는 상태변화에 대한 자율적 의사결정을 하는 퍼지논리를 이용한 에이전트를 구현하는 것을 연구의 목적으로 한다. 이를 위하여 제한적인 조건을 설정하여 부분적인 실험을 하였다. 에이전트를 구성하기 위한 추론방식으로는 max-product 기법을 사용하였으며, n개 퍼지 규칙들 또는 연관들 $(A_1,\;B_1),\;{\ldots},\;(A_n,\;B_n)$을 가지는 상황을 고려하여 비퍼지화 작업을 수행하여 중심값을 추출하여 추론 작업을 실행하였다.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.45-54
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• 2009

The virtual world is simulated in terms of agents and the environment as the real world. Agents are able to perceive and recognize objects as well as components of the environmental elements in the virtual world. As a result, they are able to autonomously act in terms of their decision. They generate diverse situation that make the user to feel familiarity as they would be have like human beings. Such situations are constructed in terms of the concepts of the entities, relations and activities, and agents accordingly recognize the situations in terms of these concepts. In this paper, we propose the method to recognize and represent the shapes which are the most important feature among objects. Various shapes are represented in terms of primitive shapes and their spatial relations in depth. We use distance, direction, and orientation in order to represent basic spatial relation. In order to simplify basic signal processing, objects dynamically send messages of self information to agents, and refer to ontology as the knowledge base of the virtual world. Agents perceive the information from objects by comparing with schematic knowledge and instance knowledge in ontology.

• Journal of Adhesion and Interface
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• v.1 no.1
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• pp.30-37
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• 2000

This study focused on the direct blending of bonding agents (resorcinol, hexamethylenetetramine, NaOH) into rubber compound to simplify the composite manufacturing process. The mechanism of direct blending system was studied by comparing the following two cases. The one is direct blending of bonding agents into rubber compound and then allows the reaction (Case I). The other is mixing of reactant obtained by reaction of bonding agents (Case II). According to the morphology analysis, the Case II showed the clean interfacial area between bonding agents and matrix rubber, while the Case I created the new interphase under proper processing condition. Also, the optimum adhesion strength between SBR and nylon cord could be obtained with bonding agents whose molar ratios of resprcinol/hexamethylenetetramine was 1.2/1 in the recipes.

• The Korean Journal of Food And Nutrition
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• v.17 no.2
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• pp.186-192
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• 2004

This study was performed to investigate softening methods of raw sea tangle for development of sea tangle processing products and intermediate materials. In examination of various softening agents, it was revealed that 0.3％ sodium triphosphate was best effective on softening with heat treatment. Softerness and spreadability of sea tangle treated with sodium triphosphate and heat treatment were indicated to be better than the others. In blanching studies, microwave was extremely effective on softening and the effect was as follows: microwave>steaming>boiling water in softening order. In the case of adding 0.3％ sodium triphosphate in blanching treatment, there was synergy effectiveness on softening. The color change of treated sea tangle was significantly different at p<0.05 depending on blanching method and addition amount of the agent.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.118-136
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• 1997

The multi-agent system is an environment in which applications solve tasks by cooperating with each other. In the multi-agent system, a user can solve complex problems by issuing a single command instead of a series of commands. However, agents depend on the state of other agents for they cooperate with each other. The problem worsens as multi-agent systems are connected to from a group of multi-agent systems. In this paper, we present the termination problem of an agent in a multi-agent system or a group of multi-agent systems. We also give asolution of the problem and present an example through implemented multi-agent systems.

• Journal of Information Processing Systems
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• v.6 no.3
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• pp.385-402
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• 2010

Most of the data warehouse (DW) requirements engineering approaches have not distinguished the early requirements engineering phase from the late requirements engineering phase. There are very few approaches seen in the literature that explicitly model the early & late requirements for a DW. In this paper, we propose an AGDI (Agent-Goal-Decision-Information) model to support the early and late requirements for the development of DWs. Here, the notion of agent refers to the stakeholders of the organization and the dependency among agents refers to the dependencies among stakeholders for fulfilling their organizational goals. The proposed AGDI model also supports three interrelated modeling activities namely, organization modeling, decision modeling and information modeling. Here, early requirements are modeled by performing organization modeling and decision modeling activities, whereas late requirements are modeled by performing information modeling activities. The proposed approach has been illustrated to capture the early and late requirements for the development of a university data warehouse exemplifying our model's ability of supporting its decisional goals by providing decisional information.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.36 no.5
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• pp.437-441
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• 2003

This research investigated the effects of processing conditions and natural antimicrobial materials on quality of freeze-dried, seasoned and roasted Alaska pollack (Theragra chalcogramma). The optimum dipping time and moisture contents of freeze-dried Alaska pollack were 1 sec in $1\%$ salt solution, $48.6\%$ respectively. The freeze-dried, seasoned and roasted Alaska pollack product showed high sensory value. As sterilization time increased over 30 mins in water bath at $100^{\circ}C$ the browning degree of the freeze-dried, seasoned and roasted Alaska pollack product increased. Among various antibrowning agents, $3\%$ corn starch was better in preventing browning than sporix treatment. The freeze-dried, seasoned and roasted Alaska pollack product added with lactate Ca and catechin had the antimicrobial, and the VBN contents of the product showed low level.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.131-142
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• 2004

When the cotton/polyester fiber mixed fabrics were treated with ferrous sulfate and oxalic acid for burn out finishing, it was examined how the effects of process conditions as concentration of burn out agents, temperature, time and pressure act onto the properties of polyester ground fabrics. The results are as follows. The effect of burn out finishing by pressure was greated in 3 kgf/$\textrm{cm}^2$. The properties as white index and tensile strength of polyester ground fabrics were decreased according as processing concentration, temperature time increases. The shrinkage was increased according as processing concentration, temperature time increases. The optimum condition of burn out agents to ferrous sulfate was 30% concentration, 150$^{\circ}C$, 1 min, 3 kgf/$\textrm{cm}^2$ and to oxalic acid was 10% concentration, 110$^{\circ}C$, 1min, 3 kgf/$\textrm{cm}^2$. And the optimum of ferrous sulfate and oxalic acid used in combination was 10% ferrous sulfate and 7% oxalic acid, 110$^{\circ}C$, 1 min., 3 kgf/$\textrm{cm}^2$.