• Title/Summary/Keyword: Model making

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A Study on Decision Making Factors of Cloud Computing Adoption Using BCOR Approach (BCOR 접근법을 이용한 클라우드 컴퓨팅 도입의 의사결정 요인에 관한 연구)

  • Lee, Young-Chan;Hanh, Tang Nguyen
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.155-171
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    • 2012
  • With the continuous and outstanding development of information technology(IT), human being is coming to the new computing era which is called cloud computing. This era brings lots of huge benefits also at the same time release the resources of IT infrastructure and data boom for man. In the future no longer, most of IT service providers, enterprises, organizations and systems will adopt this new computing model. There are three main deployment models in cloud computing including public cloud, private cloud and hybrid cloud; each one also has its own cons and pros. While implementing any kind of cloud services, customers have to choose one of three above deployment models. Thus, our paper aims to represent a practical framework to help the adopter select which one will be the best suitable deployment model for their requirements by evaluating each model comprehensively. The framework is built by applying the analytic hierarchy process(AHP), namely benefit-cost-opportunity-risk(BCOR) model as a powerful and effective tool to serve the problem. The gained results hope not only to provide useful information for the readers but also to contribute valuable knowledge to this new area. In addition, it might support the practitioners' effective decision making process in case they meet the same issue and have a positive influence on the increase of right decision for the organization.

Do Long Term Savings Motives Foster Household Participation and Contribution to Savings Mechanisms in Rural Vietnam?

  • HA, Van Dung
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.2
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    • pp.75-82
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    • 2019
  • The paper aims to investigate the impacts of long-term savings motives on fostering household participation and contribution to savings mechanisms in rural Vietnam. The paper is organized in five parts: introduction, data description, methodology, empirical results, and conclusion. The quantitative methodology is employed and three simultaneous estimation methods, including instrumental variable model, two-step model, and Heckman model are used to test these impacts as well as the robustness of results. In each model, the paper examines the impacts of independent factors on both household participation and household contribution to savings mechanisms. Two sets of independent variables: long-term savings motives (profit-making investment, accumulation for big expenditure, providing for old age, and cost of educations) and control variables (dependency rate, number of people in household, and household wealth) are in each model. A set of dataset of 2,314 households for analysis is obtained from household survey in rural Vietnam. Robust statistical findings indicate that profit-making investment emerged to be the strongest motive fostering household participation to savings mechanisms while other long-term savings motives have little or no impact on fostering household participation to savings mechanisms. In addition, education investment encourages household contribution to savings mechanisms in rural Vietnam.

A Study on Association Rule and Cost Efficiency Analysis Model Using Construction Supervision Reports (건축공사감리 문서 기반 연관규칙 및 비용효율성 분석 모델)

  • Song, Tae-Geun;Yoo, Wi Sung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.389-390
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    • 2023
  • To improve the cost performance of construction sites, various systems and standards are constantly being developed and implemented. Although legal requirements for these system and standard improvements have been increasing, the cost efficiency performance of construction sites remains stagnant. We have digitized documents generated through construction supervision work at 39 building construction sites and proposed a model that can support decision-making in cost efficiency evaluation. This model selects key keywords that are considered to be highly related to cost efficiency by identifying the patterns and relationships of keywords through associated rule analysis and social network analysis using keywords derived from documents. In addition, it is expected to be used as a decision-making aid to determine the cost efficiency of a specific building construction site by establishing a logistic regression model using core keywords. As a systematic database of construction supervision documents and an integrated system of massive data generated by digital technology are established in the future, the accuracy and reliability of the cost efficiency evaluation model are expected to be reinforced.

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A Study on the Automatic Design Program for Assembly Model (조립모델 생성을 위한 자동설계 프로그램에 관한 연구)

  • 이승수;김민주;김태호;전언찬
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.600-603
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    • 2002
  • In this study, Automatic design program creates 3D solid models and constructs them. The method of making assembly model is two. One assembles the element made in automatic design program with hand, the other develops the automatic design program fur creating assembly model. Automatic design program improves the convenience of user. In creating gears, involute curve and Trochoidal fillet curve are made by mathematical development.

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Development of Decision Making Model for Optimal Location of Washland based on Flood Control Effect estimated by Hydrologic Approach (수문학적 홍수저감효과 기반의 천변저류지 최적위치 선정을 위한 의사결정모형의 개발)

  • Ahn, Tae-Jin;Kang, In-Woong;Baek, Chun-Woo
    • Journal of Korea Water Resources Association
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    • v.41 no.7
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    • pp.725-735
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    • 2008
  • Due to recent climate change, flood damages have been increased, but it is difficult to construct large hydraulic structure for flood control such as dam because of environmental, economical and political problems. For this reason, several researches and studies have tried to use washland as an alternative of hydraulic facility. Because sizes of washlands are usually smaller than those of dams or reservoirs, there can be many available locations for washlands in a basin and proper combination of these locations can reduce flood disasters efficiently. However, in case there are many available locations for washland and many combinations to consider, it is very difficult to determine the optimal combination which yields to provide the maximum benefit. For the more, hydraulic approach that used in previous studies to calculate flood reduction effect needs a lot of time for calculation and sometimes can not give the final result. In this study, the flood reduction effect of washland is calculated by hydrologic approach and decision making model for optimal location of washland using genetic algorithm for determination of optimal solution is developed. The developed model has been applied to the Ansung River basin in order to examine the applicability and the application result shows that developed model can be used as decision making model for washland.

Awareness of Doctors' Shared Decision-Making in Life-Sustaining Care Decisions

  • Kim, Dalyong;Lee, Hyun Jung;Yu, Soo-Young;Kwon, Jung Hye;Ahn, Hee Kyung;Kim, Jee Hyun;Seo, Seyoung;Maeng, Chi Hoon;Lim, Seungtaek;Kim, Do Yeun;Shin, Sung Joon
    • Journal of Hospice and Palliative Care
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    • v.24 no.4
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    • pp.204-213
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    • 2021
  • Purpose: At the end of life, communication is a key factor for good care. However, in clinical practice, it is difficult to adequately discuss end-of-life care. In order to understand and analyze how decision-making related to life-sustaining treatment (LST) is performed, the shared decision-making (SDM) behaviors of physicians were investigated. Methods: A questionnaire was designed after reviewing the literature on attitudes toward SDM or decision-making related to LST. A final item was added after consulting experts. The survey was completed by internal medicine residents and hematologists/medical oncologists who treat terminal cancer patients. Results: In total, 202 respondents completed the questionnaire, and 88.6% said that the decision to continue or end LST is usually a result of SDM since they believed that sufficient explanation is provided to patients and caregivers, patients and caregivers make their own decisions according to their values, and there is sufficient time for patients and caregivers to make a decision. Expected satisfaction with the decision-making process was the highest for caregivers (57.4%), followed by physicians (49.5%) and patients (41.1%). In total, 38.1% of respondents said that SDM was adequately practiced when making decisions related to LST. The most common reason for inadequate SDM was time pressure (89.6%). Conclusion: Although most physicians answered that they practiced SDM when making decisions regarding LST, satisfactory SDM is rarely practiced in the clinical field. A model for the proper implementation of SDM is needed, and additional studies must be conducted to develop an SDM model in collaboration with other academic organizations.