• Title/Summary/Keyword: Competitive rule

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New Mutation Rule for Evolutionary Programming Motivated from the Competitive Exclusion Principle in Ecology

  • Shin, Jung-Hwan;Park, Doo-Hyun;Chien, Sung-I1
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.165.2-165
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    • 2001
  • A number of previous researches in evolutionary algorithm are based on the study of facets we observe in natural evolution. The individuals of species in natural evolution occupy their own niche that is a subdivision of the habitat. This means that two species with the similar requirements cannot live together in the same niche. This is known as the competitive exclusion principle, i.e., complete competitors cannot coexist. In this paper, a new evolutionary programming algorithm adopting this concept is presented. Similarly in the case of natural evolution , the algorithm Includes the concept of niche obtained by partitioning a search space and the competitive exclusion principle performed by migrating individuals. Cell partition and individual migration strategies are used to preserve search diversity as well as to speed up convergence of an ...

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Real-time Multiple People Tracking using Competitive Condensation (경쟁적 조건부 밀도 전파를 이용한 실시간 다중 인물 추적)

  • 강희구;김대진;방승양
    • Journal of KIISE:Software and Applications
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    • v.30 no.7_8
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    • pp.713-718
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    • 2003
  • The CONDENSATION (Conditional Density Propagation) algorithm has a robust tracking performance and suitability for real-time implementation. However, the CONDENSATION tracker has some difficulties with real-time implementation for multiple people tracking since it requires very complicated shape modeling and a large number of samples for precise tracking performance. Further, it shows a poor tracking performance in the case of close or partially occluded people. To overcome these difficulties, we present three improvements: First, we construct effective templates of people´s shapes using the SOM (Self-Organizing Map). Second, we take the discrete HMM (Hidden Markov Modeling) for an accurate dynamical model of the people´s shape transition. Third, we use the competition rule to separate close or partially occluded people effectively. Simulation results shows that the proposed CONDENSATION algorithm can achieve robust and real-time tracking in the image sequences of a crowd of people.

A Hybrid Malfunction Diagnostic System using Rules and Cases (규칙 및 사례기반의 하이브리드 고장진단 시스템)

  • 이재식;김영길
    • Journal of Intelligence and Information Systems
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    • v.4 no.1
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    • pp.115-131
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    • 1998
  • Customer service process is one of the most important processes in today's competitive business environment. Among the various activities of customer service process, equipment malfunction diagnosis activity should be performed fast and accurately. When a customer calls the service center and reports the observed symptoms, he/she describes them in layman's terms. Therefore, the customer-reported symptoms have not been considered helpful information for service representatives. However, in order to perform diagnosis activity fast and accurately, we need to make use of the customer-reported symptoms actively. In this research, we developed three systems called R-EMD (Rule-based Equipment Malfunction Diagnostic system), C-EMD (Case-based Equipment Malfunction Diagnostic system) and R&C-EMD (Rule & Case-based Equipment Malfunction Diagnostic system), each of which diagnoses equipment malfunctions using the customer-reported symptoms. R&C-EMD is a hybrid system that utilizes both rule-based and case-based technologies. The diagnosis rules used in R&C-EMD and R-EMD were not acquired from service manuals or interviews with service representatives. Rater, we extracted them directly from the past diagnosis cases based on symptoms' frequencies. By this way, we were able to overcome the knowledge acquisition bottleneck. Using the real 100 malfunction diagnosis cases, we evaluated the performances of R&C-EMC, R-EMD and C-EMD in terms of speed and accuracy. In diagnosis time, R&C-EMD took longer than R-EMD and shorter than C-EMD. However, R&C-EMC was the best in accuracy.

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A Study on Product Positioning based on Conjoint Analysis in a Competitive Market (경쟁시장에서 컨조인트분석에 기초한 제품포지셔닝에 대한 연구 : 온라인 게임을 중심으로)

  • Baek Seung-Kee;Rhim Ho-Sun;Park Myung-Sub
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.3
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    • pp.107-125
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    • 2006
  • We introduce a two-stage game theoretic model to support decision making processes for product Positioning and pricing in competitive environment. In the first stage, firms decide on entry and product position, in the second stage, firms compete with price. 'Alpha rule' is used as a choice model. Demand parameters of the choice model are estimated by conjoint analysis. We investigate conditions for the existence of Nash price equilibria in the pricing game. Nash equilibria in the entry and positioning game are produced using a concept of stable sets. An example of the online game industry in Korea is examined.

A study on The Process Improvement of Logistics based on The Lean Six Sigma Methodology (Lean Six Sigma 기반의 물류 프로세스 개선 방법론)

  • Nam, Ho-Ki;Park, Sang-Min
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.121-129
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    • 2009
  • Today, many companies will be isolated in competition if they do not have competitive power to overcome quick change and big crisis of market. Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of methods in keen competition for making of pacesetting position. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The purpose of this study is to seek an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.

Data Mining for the Effectiveness of Government Support Strategies for Technology Innovation in Service Sectors (서비스 부문의 기술혁신목적별 정부 지원제도의 활용도 분석 연구)

  • Hwang, Doo-Hyun;Kim, Woo-Jin;Sohn, So-Young
    • IE interfaces
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    • v.21 no.2
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    • pp.237-246
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    • 2008
  • In today's competitive global environment, technological innovation is an important issue. Many countries are devising national level strategies to further strengthen industrial capacity in support of innovative companies. South Korea is no exception, and multiple strategies are in place to aid innovative development in the private sector. This study postulates that such national level strategies are applied differently depending on the innovation goal pursued by the service sector in Korea. We use data mining methods to test such research hypothesis. Factor analysis is used for clustering of various service companies, while association rule is used in finding the relationship per each cluster. The results show that national level strategies are underutilized and unequally distributed. This may be attributed to the disparity between the demand and needs of the private sector and the opinion of the government, which lead to underutilized and indistinguishable strategies.

Analysis of Agrifood Purchasing Pattern Using Association Rule Mining - Case of the Seoul·Gyeonggido·Incheon in South Korea -

  • Jo, Hyebin;Choe, Young Chan
    • Agribusiness and Information Management
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    • v.4 no.2
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    • pp.14-21
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    • 2012
  • Since the Free Trade Agreements (FTAs) with Chile, the EU, and the U.S., Korean agricultural produce markets have turned into a fierce competition landscape. Under these competitive circumstances, marketing is critical. The objective of the research presented herein is to understand the characteristics of customer preferences after locating trends of purchased items. So This research establishes sustainable strategies for Korean agricultural produce. This investigation used market-basket analysis techniques and panel data for its research. Market-basket analysis is a technique which attempts to find groups of items that are commonly found together. The results show that, for one year, processed food using wheat, processed marine products, and pork are commonly bought together and that yogurt and milk also are bought together. The characteristics of customers buying these items are 44 years old and live in a four-person household with two children. These customers do not live with their parents.

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Research on the Actual Condition and Development of Operational Guide for Cooperation Group Standards Certification System (단체표준 인증제도 실태조사 및 운영지침개발)

  • Goh, Hyun-Woo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.94-103
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    • 2009
  • In relation to a certification system recently, it is coming out complains about make a rule of thumb certification, problems of after-service and duplication with government certifications. Also there is confusion in operating certification system to lack of properly rule to international standard. These impose a heavy burden on company in terms of times and costs and enhance competitiveness. Nevertheless, the survey was not built yet for the status and problems of the cooperation group standards certification System. So, this study purposes that research on the actual condition and development of operational guide for cooperation group standards certification system. In addition it ultimately improve the certification system for reliability and international competitive power. For more detail on this study, it would be considered conformity assessment, domestic/international conformity assessment and certification criteria. Also comparing survey result on the actual condition with international standards, develop operational guidelines to meet international standards.

Evaluation of Appointment Policy and Scheduling Rule for a Dental Clinic Based on Computer Simulation (시뮬레이션을 이용한 치과의원의 예약정책과 스케줄링 규칙 평가)

  • Lee, Jong-Ki;Kim, Myeng-Ki;Ha, Byung-Hyun
    • Korea Journal of Hospital Management
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    • v.16 no.4
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    • pp.161-182
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    • 2011
  • In today's competitive dental markets, it is of paramount importance to improve service quality and at the same time to use scarce resource efficiently. In this study, we present appointment policies and scheduling rules for private dental clinics to reduce the waiting time of patients and to increase the revenue by utilizing resource more effectively. This study validates the proposed appointment policies and scheduling rules based on simulation models. We show that the bottleneck-based appointment policy is the most effective among appointment policies, followed by the multiple-block appointment one. The shortest processing time among scheduling rules contributes most to the performance of the appointment system.

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Development of Contents Syndication Systems for Engineering Information Management in Semi-conductor Industries (반도체 산업의 공학 정보 관리를 위한 컨텐츠 신디케이션 시스템의 개발)

  • Kim, Tae-Yoon;Koo, Sang-Hoe
    • Journal of Information Technology Applications and Management
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    • v.13 no.4
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    • pp.109-120
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    • 2006
  • Enterprise Content Integration (ECI)is an IT strategy that improves enterprise' competitive advantages by integrating enterprise wide information and content into a unified view, which in turn supports efficient and effective decision making. Content Syndication Systems (CSS) is a solution that implements the ECI strategy. In semi-conductor industries, it is usual that enterprise content is scattered over tens of legacy systems. Therefore, engineers in semi-conductor companies spend a few hours to locate required engineering information on a daily basis as part of their jobs. In this paper, we develop an enterprise CSS system that integrates enterprise wide contents into a unified view that is suitable for semi-conductor industries. For this research, we first define enterprise CSS, then identify their systems requirements. Then we propose an architecture supporting the identified requirements, and present the implemented prototype. One of the most important requirements is the individualized subscription rule setting for engineering information. For this purpose, we developed methods to represent the information properties and subscription rules.

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