• Title/Summary/Keyword: planning model

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Computer Simulation based Pre-operative Planning of Fracture Fixation and Deformity Correction (컴퓨터 시뮬레이션 기반 골절고정 및 기형교정수술 예비계획)

  • Kim, Yoon-Hyuk;Kwon, Young-Ha;Heo, Yu
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.698-700
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    • 2003
  • This paper presents a model and analysis techniques for a unilateral external fixator to achieve fracture reduction and deformity correction in long bones precisely. through fixator joint adjustment. Combining the kinematic analysis with a graphic model of the tibia and the fixator allowed 3D simulation and visualization of the adjustments required to reduce fracture or correct bone deformity after osteotomy. The model and analysis technique can be used for fixator evaluation and clinical application planning.

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Determinants and Regional Patterns of Parent-child Coresidence among Older Korean Parents, 1985-2005 (노부모-자녀 동거의 결정요인과 지역간 차이, 1985-2005)

  • Kim, Mi-Young;Lee, Seong-Woo
    • Journal of Korean Society of Rural Planning
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    • v.15 no.4
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    • pp.89-107
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    • 2009
  • The main objective of the present study is to find out which factors affect coresidence between older Korean parents and their adult children and to examine the regional patterns of the phenomenon. The 1980, 1995 and 2005 Korea census data are used to investigate the determinants of two types of parent-child coresidence. The two types are coresidence with married adult children and one with unmarried adult children. The study takes advantage of the multilevel mltinomial logit model, allowing the model to capture regional differences. Findings from the study are: (1) Korean parents' coresidence with their married adult children and one with their unmarried adult children are distinctive in their determinants; (2) variables related to wealth or economic status are positively related with possibilities of both types of coresidence; and (3) considerable regional differences in the possibility of coresidence do exist among regions in Korea.

A Study on the Prediction Model of Total Construction Period according to the Type of Machine Learning Regression (머신러닝 회귀분석 유형에 따른 총 공사기간 예측 모델에 관한 연구)

  • Kang, Yun-Ho;Yun, Seok-Heon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.361-362
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    • 2023
  • In construction work, there is often a difference between the estimated construction period and the actual construction period. Accordingly, the project may be delayed from the scheduled date, leading to huge losses due to problems such as increased costs during construction. In this way, it is important to calculate the appropriate construction period at the project planning stage in construction work. To solve this problem, we would like to study a model that will increase the accuracy of the scheduled construction period at the project planning stage. This study compared and analyzed linear regression, Lasso regression, Ridge regression among the types of regression analysis to select an appropriate construction period prediction model to secure an appropriate construction period at the project planning stage to reduce problems during construction.

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Development of Pre-workshop Phase for the VE application at the Early Planning Stage of the Mega Project (메가프로젝트 기획/계획단계 VE적용을 위한 준비단계 수행방안)

  • Ha, Seung-Ryong;Hyun, Chang-Taek;Son, Myung-Jin;Kim, Yun-Sik
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.4
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    • pp.29-39
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    • 2011
  • In Korea, many mixed-used development projects(MXD) in mega project size are currently active. As these mega projects require long-term construction and execution and involve by different subjects in different fields, their completion breeds various problems, such as conflicts among project participants due to their complicated interest relationships and inaccuracy in predicting the economic performance of the projects due to inappropriate facility capacity planning. To solve these problems, it is essential to apply value engineering (VE) at the planning phase of the project, which can result in the best possible cost reduction and improvement of project performance. However, not many projects are actually implementing VE because of the lack of available information, as well as the limitations due to uncertainty in the early period of project execution. Therefore, this study aimed at proposing VE Team Building, Quality Model Performance Indexes, Space Model so as to resolve common mega project problems and overcome VE application limitations at planning stage. The result of this study is expected that the data can be utilized as basic data to apply VE at the planning phase of the large complex projects.

A Study on the Development of Cooperative Clinical Nursing Education Model (산학공조형(Co-op) 간호실습교육 운영모형 개발)

  • Cho, Kap-Chul;Boo, Eun-Hee;Roh, Young-Sook
    • The Journal of Korean Academic Society of Nursing Education
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    • v.11 no.2
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    • pp.127-134
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    • 2005
  • Purpose: The purpose of the study was to develop a cooperative clinical nursing education model in response to the challenge to provide quality clinical instruction for nursing students. Method: A hypothesized model was developed based on literature review and Cho's partnership model of preservice teacher. Final model was refined with cooperative committee meetings, workshop and post clinical education meetings. Results: A Cooperative clinical nursing education model was developed with three phases(collaboration, planning, redefinition of major roles) and ten constructs(organization of cooperative committee, goal setting, partnership contract, planning objectives, and operating manual). Conclusion: The Cooperative clinical nursing education model support the need for continued collaborative partnership between nursing college and hospitals to foster quality clinical instruction.

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A study on Business Process Model for Extended and Integrated Supply Chain Planning : Focused on Negotiation (확장.통합된 공급사슬계획에서 협상을 위한 비즈니스 프로세스 모델에 관한 연구)

  • 강윤철;정한일;박진우
    • The Journal of Society for e-Business Studies
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    • v.9 no.1
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    • pp.105-122
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    • 2004
  • The advance of information technology has changed the business environment, and the business process between the trading partners has been evolved with these changes. However, the business process between trading partners requires human interface for interchanging information or making a decision even though they collaborate each other or are coupled tightly, and this interrupts seamless business processes between them. To overcome this limitations, a new concept of self-integration has been emerged. The self-integration means a true integration among enterprise applications without human interface, and it might be the future direction of integrations. In this study, we introduced the concept of self-integration environment and business process model for supply chain planning. And, we analyzed the negotiation processes and classified the negotiation patterns for integrated supply chain planning in self-integration environment, and then we proposed a generic business process model for negotiation of extended and integrated supply chain planning by integrating the suggested negotiation pattern with business scenarios.

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Ordinal Optimization Theory Based Planning for Clustered Wind Farms Considering the Capacity Credit

  • Wang, Yi;Zhang, Ning;Kang, Chongqing;Xu, Qianyao;Li, Hui;Xiao, Jinyu;Wang, Zhidong;Shi, Rui;Wang, Shuai
    • Journal of Electrical Engineering and Technology
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    • v.10 no.5
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    • pp.1930-1939
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    • 2015
  • Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.