• 제목/요약/키워드: Garbage Can Model

검색결과 11건 처리시간 0.019초

복잡한 조직에서의 의사결정과 학습 -쓰레기통 모형(Garbage Can Model)의 학습 적용- (Decision Making and Learning in Complex Organization : Learning Approach of Garbage Can Model)

  • 오영민;정경호
    • 한국시스템다이내믹스연구
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    • 제9권1호
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    • pp.57-71
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    • 2008
  • This research paper describes a complex and vague settings in which organization makes a decision and explains a role of decision maker's learning process. The original paper, written by Cohen, March, Olsen in 1972, said that all members of organization depended on the technology taken through trials and errors, which is the 'learning' process literally. But they intended to exclude the learning process in their simulation model because their PORTRAN model couldn't replicate the learning concept. As a result, they couldn't explain how all agents of garbage can simulation model resolve the problem dynamically. To overcome this original paper's limitations, we try to rebuild a learning process simulation model using by system dynamics approach that can capture the linkage between organization leanings and agents-based decision-makings. Our learning simulation results reveal two points. First, decision maker's leanings process improves the efficiency of decision making in complex situation. Second, group learning shows a superior efficiency to an individual learning because group members share organizational memory and energy.

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Mercury Exposure among Garbage Workers in Southern Thailand

  • Decharat, Somsiri
    • Safety and Health at Work
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    • 제3권4호
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    • pp.268-277
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    • 2012
  • Objectives: 1) To determine mercury levels in urine samples from garbage workers in Southern Thailand, and 2) to describe the association between work characteristics, work positions, behavioral factors, and acute symptoms; and levels of mercury in urine samples. Methods: A case-control study was conducted by interviewing 60 workers in 5 hazardous-waste-management factories, and 60 matched non-exposed persons living in the same area of Southern Thailand. Urine samples were collected to determine mercury levels by cold-vapor atomic absorption spectrometer mercury analyzer. Results: The hazardous-waste workers' urinary mercury levels (10.07 ${\mu}g/g$ creatinine) were significantly higher than the control group (1.33 ${\mu}g/g$ creatinine) (p < 0.001). Work position, duration of work, personal protective equipment (PPE), and personal hygiene, were significantly associated with urinary mercury level (p < 0.001). The workers developed acute symptoms - of head-aches, nausea, chest tightness, fatigue, and loss of consciousness at least once a week - and those who developed symptoms had significantly higher urinary mercury levels than those who did not, at p < 0.05. A multiple regression model was constructed. Significant predictors of urinary mercury levels included hours worked per day, days worked per week, duration of work (years), work position, use of PPE (mask, trousers, and gloves), and personal hygiene behavior (ate snacks or drank water at work, washed hands before lunch, and washed hands after work). Conclusion: Changing garbage workers' hygiene habits can reduce urinary mercury levels. Personal hygiene is important, and should be stressed in education programs. Employers should institute engineering controls to reduce urinary mercury levels among garbage workers.

Small Business Innovation Research Program in the United States: A Political Review and Implications for East Asian Countries

  • Ryu, Youngbok
    • STI Policy Review
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    • 제6권2호
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    • pp.54-86
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    • 2015
  • The study examines the U.S. Small Business Innovation Research (SBIR) program, with a focus on the recent Reauthorization, and compares, in the political context, the U.S. and East Asian countries-Japan, Korea and Taiwan-that adopted the U.S. SBIR program. For the systematic analysis and cross-country comparison, the study employs Kingdon (2003)'s framework-his political theory and Garbage Can Model-to identify political participants and processes underlying the SBIR Reauthorization and to analyze the differences in problem, policy, and politics streams between the U.S. and East Asian countries. For the cross-country comparison, specifically, the study uses various data sources such as OECD, Global Entrepreneurship Monitor, Hofstede's Cultural Dimensions, and World Value Survey. Based on the analysis outcomes, implications of U.S. practices on East Asian countries are extracted as follows. East Asian countries tend to: Have higher entrepreneurial aspiration while lower entrepreneurial activity and attitude than the U.S.; bear higher long term orientation and uncertainty avoidance while lower individualism than the U.S.; and have greater expectations of technology development and higher confidence in political parties while participating less in political action than the U.S. Drawing on the differences, the following policy recommendations are suggested. East Asian countries should: Improve entrepreneurs' access to resources (in particular, financial resource) in order to link their high entrepreneurial aspiration to actual entrepreneurial activities; cultivate failure-tolerating culture and risk-taking entrepreneurs, for instance, by providing a second chance to SBIR-participating businesses that failed to materialize their innovative ideas; and leverage their high expectations of new technology in order to take bold actions regarding their SBIR programs, and update the programs by drawing out constructive dialogues between SBIR stakeholders.

벤쳐 투자를 위한 의사결정 클래스 분석 : 사례기반추론 접근방법 (Analyzing a Class of Investment Decisions in New Ventures : A CBR Approach)

  • Lee, Jae-Kwang;Kim, Jae-Kyeong
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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    • pp.355-361
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    • 1999
  • An application of case-based reasoning is proposed to build an influence diagram for identifying successful new ventures. The decision to invest in new ventures in characterized by incomplete information and uncertainty, where some measures of firm performance are quantitative, while some others are substituted by qualitative indicators. Influence diagrams are used as a model for representing investment decision problems based on incomplete and uncertain information from a variety of sources. The building of influence diagrams needs much time and efforts and the resulting model such as a decision model is applicable to only one specific problem. However, some prior knowledge from the experience to build decision model can be utilized to resolve other similar decision problems. The basic idea of case-based reasoning is that humans reuse the problem solving experience to solve a new decision. In this paper, we suggest a case-based reasoning approach to build an influence diagram for the class of investment decision problems. This is composed of a retrieval procedure and an adaptation procedure. The retrieval procedure use two suggested measures, the fitting ratio and the garbage ratio. An adaptation procedure is based on a decision-analytic knowledge and decision participants knowledge. Each step of procedure is explained step by step, and it is applied to the investment decision problem in new ventures.

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플래시 메모리 B-트리를 위한 저비용 노드 갱신 기법 (An Efficient Flash Memory B-Tree Supporting Very Cheap Node Updates)

  • 임성채
    • 한국콘텐츠학회논문지
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    • 제16권8호
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    • pp.706-716
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    • 2016
  • B-트리는 공간 효율성과 빠른 키 검색 시간으로 인해 하드 디스크 기반 DBMS의 색인 기법으로 널리 쓰이고 있다. 하지만 B-트리를 플래시 메모리에 저장해 사용한다면, 높은 노드 갱신 비용으로 인해 DBMS 성능을 크게 저하시킬 수 있다. 이는 B-트리 단말노드에 발생하는 임의(random) 갱신 연산이 플래시 저장 장치의 과도한 가비지 수집 비용을 낳을 수 있기 때문이다. 논문에서는 이런 문제를 막기 위해 단말노드의 부모 계층 노드들을 물리적으로 저장하지 않고 가상(virtual) 노드로 둔다. 키 검색을 위해 가상 노드가 필요할 때는 자식 노드들을 참조하여 가상 노드를 동적으로 생성한 후 버퍼에 두고 사용한다. 제안된 플래시 B-트리 알고리즘은 노드 갱신과 트리 재구성 동작이 단일 플래시 블록 안에서 수행되기 때문에 가비지 수집 비용과 노드 갱신 비용을 낮게 할 수 있다. 또한 기존에 제안된 플래시 기반 B-트리와 비교하여 매우 빠른 키 검색 시간을 보장한다. 논문에서는 수학적 성능 모델을 통해 제안된 플래시 B-트리의 성능을 검증한다.

매립지 가스 발생량 평가 - 청주권 광역생활폐기물 매립장 사례연구 (Assessment of Landfill Gas Generation - A Case Study of Cheongju Megalo Landfill)

  • 홍상표
    • 환경영향평가
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    • 제17권5호
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    • pp.321-330
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    • 2008
  • Methane is a potent greenhouse gas and methane emissions from landfills have been linked to global warming. In this study, LandGEM (Landfill Gas Emission Model) was applied to predict landfill gas quantity over time, and then this result was compared with the data surveyed on the site, Cheongju Megalo Landfill. LandGEM allows the input of site-specific values for methane generation rate (k) and potential methane generation capacity $L_o$, but in this study, k value of 0.05/yr and $L_o$ value of $170m^3/Mg$ were considered to be most appropriate for reflecting non-arid temperate region conventional landfilling, Cheongju Megalo Landfill. High discrepancies between the surveyed data and the predicted data about landfill gas seems to be derived from insufficient compaction of daily soil-cover, inefficient recovery of landfill gas and banning of direct landfilling of food garbage waste in 2005. This study can be used for dissemination of information and increasing awareness about the benefits of recovering and utilizing LFG (landfill gas) and mitigating greenhouse gas emissions.

Topology, shape, and size optimization of truss structures using modified teaching-learning based optimization

  • Tejani, Ghanshyam G.;Savsani, Vimal J.;Patel, Vivek K.;Bureerat, Sujin
    • Advances in Computational Design
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    • 제2권4호
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    • pp.313-331
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    • 2017
  • In this study, teaching-learning based optimization (TLBO) is improved by incorporating model of multiple teachers, adaptive teaching factor, self-motivated learning, and learning through tutorial. Modified TLBO (MTLBO) is applied for simultaneous topology, shape, and size optimization of space and planar trusses to study its effectiveness. All the benchmark problems are subjected to stress, displacement, and kinematic stability constraints while design variables are discrete and continuous. Analyses of unacceptable and singular topologies are prohibited by seeing element connectivity through Grubler's criterion and the positive definiteness. Performance of MTLBO is compared to TLBO and state-of-the-art algorithms available in literature, such as a genetic algorithm (GA), improved GA, force method and GA, ant colony optimization, adaptive multi-population differential evolution, a firefly algorithm, group search optimization (GSO), improved GSO, and intelligent garbage can decision-making model evolution algorithm. It is observed that MTLBO has performed better or found nearly the same optimum solutions.

코로나19 언택트 여행을 위한 차박 캠핑 웹사이트 구축 및 비즈니스 모델 제안 (Building a Big Data-based Car Camping Website and Proposing a Business Models for the Corona19 Untact Trip)

  • 김민정;김수현;오지혜;엄지윤;강주영
    • 한국빅데이터학회지
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    • 제6권1호
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    • pp.179-196
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    • 2021
  • 코로나19로 인한 언택트 문화의 확산으로 타인과 접촉을 최소화할 수 있는 차박 시장의 규모가 확대되고 있다. 이에 차박캠핑에 용이한 SUV의 경우 승용 세단 판매량을 넘어섰고, 레저용 차량(RV)의 판매량은 작년 동기 대비 101% 증가하였다. 이러한 폭발적인 차박 수요의 증가에도 불구하고 차박 관련 연구는 저조하다. 이에 본 연구에서는 차박 이용자 중심의 연구를 진행하고자 하였다. 네이버 대표 차박 카페를 조사한 결과, 여러 장소의 차박지가 하나로 정리되어있는 글이나 지도, 웹사이트는 찾기 어려웠다. 또한, 기존의 캠핑 웹사이트들을 분석한 결과, 대부분 캠핑장소에 대한 정보만을 게시하고 있어 차박지의 자세한 정보를 알 수 없었다. 이에 더하여 관련 선행연구와 문헌조사를 통해 도출한 설문조사에 따르면 차박지내 쓰레기 무단 투기 문제에 대한 해결방안을 촉구하는 의견이 다수였다. 또한, 이용자들은 차박지 근처 편의시설 정보를 제공받고자 하였다. 따라서 차박지의 기본정보와 차박지 근처 편의시설 정보를 제공하는 차박 캠핑 웹사이트를 구축하고자 하였으며, 클린캠핑 인증 기능을 제공하여 차박지 쓰레기 무단투기 문제를 해결하고자 하였다. 더 나아가, 주요 웹사이트 기능인 클린캠핑 인증을 발전시켜 비즈니스 모델을 고안하였다. 비즈니스 모델은 차박 이용자들이 클린캠핑 인증 절차를 거쳐 보상을 받는 구조로 설계하였다. 클린캠핑 인증에 대한 보상은 국내 자동차 회사, 한국관광공사, 소상공인시장진흥공단과의 제휴를 통해 제공될 수 있도록 제안하였다.