• Title/Summary/Keyword: 강점모델

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An Automatic Summarization of Call-For-Paper Documents Using a 2-Phase hidden Markov Model (2단계 은닉 마코프 모델을 이용한 논문 모집 공고의 자동 요약)

  • Kim, Jeong-Hyun;Park, Seong-Bae;Lee, Sang-Jo;Park, Se-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.243-250
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    • 2008
  • This paper proposes a system which extracts necessary information from call-for-paper (CFP) documents using a hidden Markov model (HMM). Even though a CFP does not follow a strict form, there is, in general, a relatively-fixed sequence of information within most CFPs. Therefore, a hiden Markov model is adopted to analyze CFPs which has an advantage of processing consecutive data. However, when CFPs are intuitively modeled with a hidden Markov model, a problem arises that the boundaries of the information are not recognized accurately. In order to solve this problem, this paper proposes a two-phrase hidden Markov model. In the first step, the P-HMM (Phrase hidden Markov model) which models a document with phrases recognizes CFP documents locally. Then, the D-HMM (Document hidden Markov model) grasps the overall structure and information flow of the document. The experiments over 400 CFP documents grathered on Web result in 0.49 of F-score. This performance implies 0.15 of F-measure improvement over the HMM which is intuitively modeled.

Time Series Analysis for Predicting Deformation of Earth Retaining Walls (시계열 분석을 이용한 흙막이 벽체 변형 예측)

  • Seo, Seunghwan;Chung, Moonkyung
    • Journal of the Korean Geotechnical Society
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    • v.40 no.2
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    • pp.65-79
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    • 2024
  • This study employs traditional statistical auto-regressive integrated moving average (ARIMA) and deep learning-based long short-term memory (LSTM) models to predict the deformation of earth retaining walls using inclinometer data from excavation sites. It compares the predictive capabilities of both models. The ARIMA model excels in analyzing linear patterns as time progresses, while the LSTM model is adept at handling complex nonlinear patterns and long-term dependencies in the data. This research includes preprocessing of inclinometer measurement data, performance evaluation across various data lengths and input conditions, and demonstrates that the LSTM model provides statistically significant improvements in prediction accuracy over the ARIMA model. The findings suggest that LSTM models can effectively assess the stability of retaining walls at excavation sites. Additionally, this study is expected to contribute to the development of safety monitoring systems at excavation sites and the advancement of time series prediction models.

Design and Implementation of Web-based SWOT Analysis Supporting Tool (웹 기반의 SWOT 분석 지원도구 설계 및 구현)

  • Hwang, Jeena;Seo, Ju Hwan;Lim, Jung-Sun;Yoo, Hyoung Sun;Park, Jinhan;Kim, You-eil;Kim, Ji Hui
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.1-11
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    • 2017
  • The best business strategy leading to innovation and productivity can be achieved by carefully analyzing internal and external environments of a company. Many companies often require, but difficult to find a tool to determine their own internal/external environmental factors including strengths, weaknesses, opportunities and threats(SWOT). SWOT is one analytical base model that is utilized in this research to design semi-automated environmental analysis process. This study investigates on SWOT generation system that is built on existing analysis database created by experts in each field. Companies can search and choose their best expressing environmental elements that are stored in the database. This semi-automated SWOT tool is expected to contribute that companies can recognize their internal capabilities more accurately, and help consider external environment changes around them.

Case study on Integrated Water Resources Management in Pyeongchang County, Gangwon-do (통합수자원관리 적용을 위한 사례연구: 강원도 평창군)

  • Lee, Mi-Yeon;Kang, Jae-Won;Kim, Sung;Kim, Ju-Yong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.912-916
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    • 2010
  • 국내 통합수자원관리기술 수준은 계속되는 연구와 개발 노력으로 선진국 수준을 따라잡을 것으로 기대되나 개발된 기술의 실용성, 적용효과를 가시적으로 보여주지 못하고 있다. 따라서 본 연구에서는 통합수자원 관리 기술을 적용하고자 강원도 평창군의 평창강 유역을 대상으로 통합수자원관리 전략을 수립한다. 평창강 유역의 대부분이 평창군이라는 하나의 행정구역에 속해 있어 본 연구에서는 평창강 유역 단위로 자료의 수집이 어려운 부문은 평창군을 기준으로 수집하여 분석하였다. 이수, 치수, 환경, 조직 및 정책 부문으로 나누어 평창군의 수자원 현황을 파악하고 평창군 수자원관리의 강점, 약점, 기회, 위협 요인을 분석(SWOT 분석)하였다. 그 결과 평창군의 강점은 수자원에 대한 관심이 높고, 관련 문제를 해결하고자 하는 의지가 강하다는 것이다. 약점은 수자원관리를 위한 총괄조직이 없다는 것이고, 위협요인은 기후변화에 따른 국지성 집중 호우로 홍수피해 위험성이 증가하고 있다는 점이다. 반면, 평창군의 기회요인으로는 동계올림픽 유치를 위한 노력이 계속되고 있어 토지 및 수자원 개발 측면에서도 좋은 기회가 될 수 있다. SWOT 분석의 결과를 고려하여 통합수자원관리를 위한 전략을 제안하였다. 평창군 물문제 해결을 위한통합수자원관리 실행을 목표로 '평창물관리위원회' 설치를 제안하였다. 그리고 평창군의 통합수자원관리 기반을 조성하기 위해서는 이해당사자의 참여가 필요하며, 평창군 통합수자원관리지원시스템 구축을 제안하였다. 이러한 전략에 따라 강원도 평창군에서는 '평창군 물관리위원회 운영 조례(2009.9.11, 평창군 조례 제1919호)'가 제정되었고 평창군 물관리위원회를 이끌어갈 위원들의 구성도 마무리되었으며, 이를 지원할 평창군 통합수자원관리 지원 시스템도 구축되어 운영되고 있다. 앞으로의 계획은 2010년 4월 평창군 물관리위원회 창립총회를 시작으로 평창군 스스로 위원회를 운영하고 물관리 비전을 설정하고 실행계획을 수립할 수 있도록 지원할 계획이며;구축된 평창군 통합수자원관리지원시스템의 운영을 활성화하는 것이다. 이와 같은 통합수자원관리 적용 노력을 통합수자원관리 성공 사례로 발전시켜 나아가 국내는 물론 국외에서도 좋은 모델로 활용할 수 있을 것이다.

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A Study on Weight of SWOT Factors for Korea Food Service Franchise Entrepreneur (국내 외식프랜차이즈의 창업을 위한 SWOT요인의 중요도에 관한 연구)

  • Choi, Chae-Bong;Lee, Sang-Suk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.5
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    • pp.141-162
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    • 2017
  • The International Monetary Fund (IMF) crisis introduced a system for easy layoffs. With recent economic downturn, employees have been asked to retire early and less new jobs have become available. More small businesses as a result have been started. The purpose of this research is to study weight and ranking on SWOT factors of korea food service franchise industry using the SWOT analysis. The Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used to analyze the SWOT found by the surveys. First, the SWOT analysis shows that the franchise owners and the expert group view the industry positively overall and there are more strengths, opportunities than weaknesses, threats. While there are negatives and threats to the industry overall, many people think that there are more opportunities and positive aspects. Second, the franchise owners rank proven business model and platform (S3) as the strongest strength of food service franchise businesses while the expert group ranks management supports (S2) from headquarters as the strongest strength. Third, the expert group and franchise owner group indicate that the weight on unfair franchise contracts with headquarters(W3) and high penalty from breaking a franchise agreement(W4) are 60% of weaknesses. Fourth, both the expert group and franchise owner group indicate that change in people's lifestyle, value system and consumption pattern(O3) as the most important opportunity. Fifth, both groups indicate that changes in consumption pattern(T1) due to ever changing food service industry as the biggest threat. It is ranked higher than the entry of korea food service franchises.

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A SWOT based ANP Application for Strategy Development to enter Overseas Water Market (해외 수처리 시장 진출 전략 개발을 위한 SWOT-ANP 적용 모델 개발)

  • Choi, Jae-Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.1
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    • pp.305-316
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    • 2014
  • The current global water market has been reshaped with a few multinational water companies, water-specialized companies, and other non-construction companies such as manufacturing and financial companies. Each has different business objectives along with the value chain of water industry. In this context, a SWOT-ANP model is proposed to prioritize strategic alternatives for a non-construction company in Korea and the result is validated through a comparison with the AHP model and real business strategies of the company examined from the recent news reports. The validation was confirmed that the company's strategies are very much similar to the priority list and the rankings of the strategic alternatives are identical with those from AHP model, while the weights are slightly changed from the weights in AHP result.

A Study on Application of Family Group Conferencing Model in Korean Child Protection: Focus on Family Group Conference in New Zealand (한국 아동보호체계에 있어서의 가족의사결정모델 적용가능성에 관한 연구: 뉴질랜드의 패밀리그룹컨퍼런스 제도를 중심으로)

  • Jung, Eun-Jue
    • Journal of the Korean Society of Child Welfare
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    • no.27
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    • pp.7-35
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    • 2008
  • The model of family decision-making in child protection has been widely discussed and adopted in many countries. The purpose of this study was to introduce the model and, then, investigate whether this process is applicable in child care and protection services in Korea. The main goal in the study has been to explore the philosophical and practical foundations of the family involvement approach in decision-making and describe the international applications of the model. Family group conferencing, originally developed and enacted in New Zealand, has been critically examined. The potential contributions of the study may include seeking a more effective intervention for child protection through determining whether the model is appropriate or desirable in issues of philosophy, practice and policy within the Korean culture.

The Proposal of a Small-Size Business Model based on a 3D Printer : Focused on Sunglasses for Children (3D 프린터를 활용한 소규모 비즈니스 모델 제안 : 유아동 선글라스를 중심으로)

  • Kim, Se-yeong;Kim, Suk-Rae
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.455-464
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    • 2018
  • Recognizing the shortage of information about business models to generate profit despite the designers' recent interest in 3D printers as a new creative tool, this study set out to make sunglasses for young children, which lacked diversity in sizes according to age due to the small market scope under the old mass production system, by taking advantage of 3D printers' strength in the small batch production of customized products and propose a practical example to be expandable as a small-size business model. For these purposes, the investigator summarized the basic information about the 3D printing technology and the basic structure of sunglasses and made a size table to manufacture sunglasses for young children by analyzing the size table for vision correction. After this series of work, the study presented final product with the production costs and demonstrated that sunglasses for young children made with a 3D printer could be a practical case expandable as a competitive small-size business model in the market.

A study on the forecast of port traffic using hybrid ARIMA-neural network model (하이브리드 ARIMA-신경망 모델을 통한 컨테이너물동량 예측에 관한 연구)

  • Shin, Chang-Hoon;Kang, Jeong-Sick;Park, Soo-Nam;Lee, Ji-Hoon
    • Journal of Navigation and Port Research
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    • v.32 no.1
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    • pp.81-88
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    • 2008
  • The forecast of a container traffic has been very important for port plan and development. Generally, statistic methods, such as regression analysis, ARIMA, have been much used for traffic forecasting. Recent research activities in forecasting with artificial neural networks(ANNs) suggest that ANNs can be a promising alternative to the traditional linear methods. In this paper, a hybrid methodology that combines both ARIMA and ANN models is proposed to take advantage of the unique strength of ARIMA and ANN models in linear and nonlinear modeling. The results with port traffic data indicate that effectiveness can differ according to the characteristics of ports.

Design Korean Medicine Health Information Model with Health 2.0 Framework (헬스 2.0 기반의 한의정보 프레임워크 모델 설계)

  • Yea, Sang-Jun;Yang, Chang-Sop;Kim, Chul
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.807-814
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    • 2013
  • Because there are growing demands for new information service of Korean medicine (KM) accommodated changes in the paradigm of health communication, we aimed to apply health 2.0 - which shares health information to improve individuals' health - extensively in KM. First we studied about the concepts and characteristics of health 2.0 and analyzed the pros and cons of KM information services. Finally we drew the KM health 2.0 framework from the analyzed results. KM health 2.0 framework is designed to raise the value of KM information through circulation of certified medical information to prevent medical accident. And it is also designed to integrate information through big data analysis technology from the information of individual services to recreate KM contents.