• 제목/요약/키워드: agent system

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육상화물운송시장에서 기회비용을 고려한 협상방법론 연구 (A Negotiation Method Based on Opportunity Cost in the Trucking Cargo Transportation Market)

  • 김현수;조재형
    • 한국정보시스템학회지:정보시스템연구
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    • 제21권3호
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    • pp.99-116
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    • 2012
  • As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.

습식환원법에서 NaBH4환원제를 이용한 Ag분말의 제조 (Preparation of Ag Powder by Wet Reduction Method using NaBH4 Reducing Agent)

  • 원창환;이혁희
    • 한국분말재료학회지
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    • 제13권4호
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    • pp.278-284
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    • 2006
  • Spherical Ag powder was prepared in the system of $AgNO_3\;and\;NaBH_4$ by wet chemical reduction method. The size of Ag powder was increased as the reaction temperature and the concentration of reducing agent was decreased in the constant concentration of dispersion agent. Optimum conditions of producing Ag powder having $1.39{\mu}m$ of D50 was 1M of $AgNO_3$, 0.5M of $NaBH_4$, 1.5g of Gelatine in the room temperature.

경량 RMON AGENT 시스템 개발 (Development of Light-weight RMON Agent System)

  • 이준형;박진원;김명균
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2003년도 춘계학술발표논문집 (중)
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    • pp.1185-1188
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    • 2003
  • RMON Agent 시스템은 각각의 서브 네트워크에 하나씩 있으며, 해당 네트워크에서의 패킷들을 수집, 분석하여 네트워크관리에 필요한 정보를 추출한다. 이러한 네트워크 관리에 필요한 프로토콜별 또는 호스트별 패킷양에 대한 관리정보는 RMON의 MIB에 정의되어 있다. RMON Agent 시스템은 해당 네트워크상의 모든 패킷을 수집, 분석해야 하므로 장비의 성능이 떨어질 경우에는 대규모 네트워크에서의 패킷 분실 우려가 있다. 본 논문에서는 RMON Agent의 대규모 네트워크에서의 패킷분실을 최소화하고 효율적인 관리정보를 수집할 수 있도록 설계하였다.

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Effects of Nucleating Agents on Preparation of Polypropylene Hollow Fiber Membranes by Melt Spinning Process

  • Kim, Bong-Tae;Kigook Song;Kim, Sung-Soo
    • Macromolecular Research
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    • 제10권2호
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    • pp.127-134
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    • 2002
  • Microporous polypropylene hollow fiber membrane was fabricated from isotactic polypropylene-soybean oil system by melt spinning process. Addition of nucleating agent accelerated the crystallization rate and elevated the crystallization temperature. Nucleating agent increased the number of nuclei and spherulites, which offered more inter-spherulitic amorphous sites for stretching. Benzoic acid, adipic acid, and dibenzylidene sorbitol were selected as nucleating agents, and their characteristics and effects were investigated by thermal and optical analyses. Spherulite growth and micropore formation characteristics were correlated with the kind of nucleating agent. Benzoic acid and adipic acid showed the remarkable nucleating effect, while dibenzylidene sorbitol was less effective than those. Nucleating agents also helped the sample have uniform microporous structure. Increase of nucleating agent composition enhanced the nucleation effect to some extent. Nucleating agents played very important roles in enhancing the membrane porosity and water flux.

Collaborative Learning Agent for Promoting Group Interaction

  • Suh, Hee-Jeon;Lee, Seung-Wook
    • ETRI Journal
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    • 제28권4호
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    • pp.461-474
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    • 2006
  • This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in the knowledge-based society, is regarded as an effective method for improving practical and highly advanced problem-solving abilities. Collaborative learning involves complicated processes, such as organizing teams, setting common goals, performing tasks, and evaluating the outcome of team activities. Thus, a teacher may have difficulty promoting and evaluating the entire process of collaborative learning, and a system may need to be developed to support it. Therefore, to promote interaction among learners in the process of collaborative learning, this study designed an extensible collaborative learning agent (ECOLA) for an online learning environment.

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직물의 우레탄처리 가공 - 수분산성 가공제의 합성과 대전방지 및 유연가공에 대하여 - (A Study on Polyurethane Treatment of Fabric - Synthesis of Water Dispersing Agent, and Anti-static and Softening Finishing -)

  • 안영무
    • 한국의류산업학회지
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    • 제3권1호
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    • pp.42-47
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    • 2001
  • The hardening system of polyurethanes has usually caused by air pollution. bad working condition and fire hazard according to using orgarnic solvents. Therefore there have been researched on emulsion, water soluble and colloid-dispersion based water soluble instead of using organic solvents recently. This study synthesized polyurethane dispersing particle by means of mixing precursor and neutralized emulsion method. In the first step, polyurethane was preparated from isophorone diisocyanate and poly (ethylene-adipate) glycol, and got precursor by introducing dimethyl propionic acid as a hydrophilic group. Synthesized polyurethane was bonded to the surface of fiber and crosslinked as a anti-static agent, and then looked for the change of color and softening property.

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Learning soccer robot using genetic programming

  • Wang, Xiaoshu;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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    • pp.292-297
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    • 1999
  • Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

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원가 산정법에 기반한 인터넷 입찰 시스템의 효율적 입찰가 생성 에이전트 (An Efficient Bid Pricing Agent for Internet Bid Systems Based on Costing Methods)

  • 박성은;이용규
    • Journal of Information Technology Applications and Management
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    • 제11권3호
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    • pp.23-33
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    • 2004
  • Internet bid systems have been widely used recently. In those systems, the bid price is provided by the seller. When the bid price is set too high compared with the normal price, the successful bid rate can be decreased. Otherwise, when it is set too low based on inaccurate information, it can result in a successful bid with no profit at all. To resolve this problem, we propose an agent that automatically generates bid prices for sellers based on various costing methods such as the high-low point method, the scatter diagram method, and the learning curve method. Through performance experiments, we have found that the number of successful bids with appropriate profit can be increased using the bid pricing agent. Among the costing methods, the learning curve method has shown the best performance. Also, we discuss about how to design and implement the bid pricing agent.

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An Approach to the Influence of Particle Size Distribution of Leuco Vat Dye Converted by a Reducing Agent

  • Shim Woo-Sub;Lee Jung-Jin;Shamey Renzo
    • Fibers and Polymers
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    • 제7권2호
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    • pp.164-168
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    • 2006
  • Three vat dyes have been applied to regular viscose rayon and their dyeing and wash fastness properties were evaluated. Particle size determination was undertaken to obtain information about the size of dye particles converted by a reducing agent, to see if dye particle size has an affect on dyeing properties of regular viscose rayon. It is observed that viscose rayon exhibits more dyeability with reducing agent concentrations between 5-7.5 g/l. Also, we found that the vat dyeing system is greatly affected by the particle size of the vat dye converted to leuco form by a reducing agent.

반도체 웨이퍼 팹의 에이전트 기반 스케쥴링 방법 (Agent-Based Scheduling for Semiconductor Wafer Fabrication Facilities)

  • 윤현중
    • 대한기계학회논문집A
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    • 제29권11호
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    • pp.1463-1471
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    • 2005
  • This paper proposes an agent-based scheduling method fur semiconductor wafer fabrication facilities with hard inter-operation temporal constraints. The scheduling problem is to find the feasible schedules that guarantee both logical and temporal correctness. A proposed multi-agent based architecture is composed of scheduling agents, workcell agents, and machine agents. A scheduling agent computes optimal schedules through bidding mechanisms with a subset or entire set of the workcell agents. A dynamic planning-based approach is adopted for the scheduling mechanism so that the dynamic behaviors such as aperiodic job arrivals and reconfiguration can be taken into consideration.