• Title/Summary/Keyword: 유정비용

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Assessment of Power Retail Cost by Penetration scenarios of Decentralized Generation in Korean Power System (우리나라 전력계통에서 분산형전원의 구축 시나리오에 의한 전력소매비용평가)

  • Kim, Yong-Ha;Woo, Sung-Min;Oh, Seok-Hyun;You, Jeong-Hee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.478-485
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    • 2009
  • This paper describes retail cost through scenario in the ratio of CG(Centralized Generation) and DG(Decentralized Generation) that constructs new generation capacity in the future. it is not calculated for the supply, but for demand considering an advantage of DG. In the Korea Power System, retail cost that composed of construction, T&D, fuel, maintenance and environment shows macro-trend that power system planning through penetration for DG will be more significant.

Visualization of Software based 5G Cell Search using USRP Board (USRP 보드를 이용한 SW기반 5G 셀 탐색 시각화)

  • Lim, Ji-Won;Seong, Chae-Won;Bong, You-Jeong;Jo, Ohyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.201-203
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    • 2019
  • 5G 시스템은 혁신적인 발전을 거듭하며 강력해진 기술 표준을 근간으로 초광대역 이동형 데이터 서비스, 대규모 사물통신 서비스 등을 제공하고 있다. 본 논문에서는 SW를 기반으로 한 5G의 기술 개발 방법론을 제안한다. 또, 실제 환경에서 차세대 모바일 네트워크의 성능 분석이 가능한 SW 기반의 시스템 레벨 테스트베드 및 모니터링 프로그램을 OAI(Openairinterface) 5G 연구 단체의 오픈소스를 이용하여 구현한다. 기존 하드웨어 위주의 단일 칩 시스템(SoC)을 이용한 구현은 손상되기가 쉽고 유지보수가 힘들다는 단점이 있다. 하지만 기존 하드웨어 칩을 소프트웨어 기반인 소스코드로 구현하면 유지 보수가 용이하다는 장점뿐만 아니라 하드웨어가 변경되더라도 다른 하드웨어에 호환되는 이식성 때문에 생산성이 높아지며 비용 절감의 효과도 기대할 수 있다.

Virtual Machine Clustering & Dynamic Provisioning on OpenStack (OpenStack에서의 가상머신 클러스터링 및 동적 할당)

  • Yeom, Jaekeun;Yu, Jung-Lok;Lee, Jungha;Jeong, Ki-Moon;Jung, DaeYong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.253-254
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    • 2015
  • 계산과학분야에서 컴퓨팅자원을 사용하는 사용자들은 수천 개의 CPU 규모의 클러스터단위로 컴퓨팅 자원을 사용한다. 자원의 크기에 따라 작업 실행 시간이 줄어들기 때문에 사용자들이 정확하고 빠른 연구결과를 얻기 위해서는 많은 컴퓨팅자원이 필요하다. 하지만 컴퓨팅자원의 한계와 비용의 문제로 모든 사용자들이 원하는 자원을 할당 받지 못한다. 본 논문에서는 컴퓨팅자원을 가상머신 클러스터 단위로 제공하는 방법과 자원의 낭비를 줄이기 위한 가상머신 동적 할당방법을 구현하였다.

Critical Management Factors of Fluid-Applied Membrane Waterproofing Work for building basements (지하층 도막방수공사의 중점관리요인)

  • Kwon, Hae-Rim;Yu, Jung-Ho
    • Journal of the Korea Institute of Building Construction
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    • v.9 no.6
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    • pp.91-98
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    • 2009
  • One role of waterproofing work is to block external moisture and water. Defects in waterproofing work in building construction brings on huge repair costs for related construction work as well as for the waterproofing layer itself. However, we don't have a quantitative probabilistic management method for waterproofing work to successfully anticipate and prevent defects. From an analysis of the literature and prior research, defects in the waterproofing work in the underground parts of buildings occur frequently. We selected Fluid-Applied Membrane waterproofing work as representing waterproofing work in the underground parts of a building, and researched the general types and causes of defects. In this study, we developed the Relative-FMEA (Failure Mode and Effect Analysis) approach that merges the Matrix method and FMEA. From a survey of experts, we deduced the most important management factors for Fluid-Applied Membrane waterproofing work for the underground parts of buildings.

A Study on the Optimization Problem for Offshore Oil Production and Transportation (해양 석유 생산 및 수송 최적화 문제에 관한 연구)

  • Kim, Chang-Soo;Kim, Si-Hwa
    • Journal of Navigation and Port Research
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    • v.39 no.4
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    • pp.353-360
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    • 2015
  • The offshore oil production requires a huge amount of cost and time accompanied by multiple variables due to the peculiar nature of 'offshore'. And every process concerned is controlled by elaborate series of plans for reducing loss of lives, environment and property. This paper treats an optimization problem for offshore oil production and transportation. We present an offshore production and transportation network to define scope of the problem and construct a mixed integer linear programming model to tackle it. To demonstrate the validity of the optimization model presented, some computational experiments based on hypothetical offshore oil fields and demand markets are carried out by using MS Office Excel solver. The downstream of the offshore production and transportation network ends up with the maritime transportation problem distributing the crude oil produced from offshore fields to demand markets. We used MoDiSS(Model-based DSS in Ship Scheduling) which was built to resolve this maritime transportation problem. The paper concludes with the remark that the results of the study might be meaningfully applicable to the real world problems of offshore oil production and transportation.

BIM-based Repair&Replacement (R&R) Cost Estimating Process (BIM기반 건축물 수선교체비 산정 프로세스)

  • Park, Jieun;Yu, Jungho
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.2
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    • pp.31-38
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    • 2016
  • In a construction project, the portion for maintenance costs for a building is considerable compared to the initial construction cost. As such, Life Cycle Cost (LCC) analysis is being increasingly utilized to assess the design value of engineering work in Korea. Additionally, the Public Procurement Service in Korea announced that it will be mandatory for all domestic construction projects to adopt BIM. Furthermore, the paradigm for architectural design has shifted from 2D to 3D, and to BIM, which includes a data management system. Within this background, however, there is currently no adequate BIM-based LCC analysis software and the requirements of cost estimation for repair and replacement cost for a building is not completely adequate in BIM tools such as Revit and Archicad. Therefore, this study suggests a process of cost estimation for repair and replacement (R&R) cost based on IFC data. First, we analyzed existing R&R criteria and defined BIM-based requirements when calculating R&R costs. These requirements were extracted from relevant IFC data. Subsequently, this was saved to a database and a BIM-based database was built for R&R cost estimation. Finally, this database was connected with external databases such as R&R Criteria DB and Cost Information DB to calculate R&R costs. This process is expected to improve upon the traditional process of cost estimation of R&R cost by applying a BIM model. The proposed process can contribute to a further standardizing of BIM-based LCC analysis thru application to initial construction costs, energy costs, and other maintenance costs.

An Empirical Study of Entrepreneurial Attitude on Business Process Outsourcing (중소벤처기업가의 BPO태도에 영향을 미치는 요인에 관한 연구)

  • Ryu, Jung Hwan;Yang, Jun Hwan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.4
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    • pp.127-138
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    • 2016
  • Outsourcing enables firms to use external resources in efficient and effective manner by adopting the best practice of industry. It also helps firms improve their business process which may result in seizing or creating new business opportunity. Collaborating with outstanding BPO(business process outsourcing) providers offer a great deal of advantage that could access to new knowledge, technology, intellectual and material resources that firms do not own. This study was designed to provide in-dept understanding of key elements that may affect the attitude towards BPO of entrepreneurs using 99 samples comprised SME & Venture business owners. Specifically, this study aims to test and analyse the relationship between attitude towards BPO and 4 independent variables including cost reduction, core competence, specialized resources and quality improvement. The analysis results show that core competence, specialized resources and quality improvements have all positive relationships with the attitude towards BPO. However, exceptionally cost reduction is not associated positively with the attitude towards BPO which was against our expectation. Theoretical discussion and practical implication on the analysis results are provided.

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An Estimation of Generalized Cost for Transit Assignment (대중교통 통행배정을 위한 일반화비용 추정)

  • Son, Sang-Hun;Choe, Gi-Ju;Yu, Jeong-Hun
    • Journal of Korean Society of Transportation
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    • v.25 no.2 s.95
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    • pp.121-132
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    • 2007
  • This paper addressed the issue of a generalized cost model for transit assignment. The model composed of walk time, waiting time (including transfer waiting time), line-haul time, transfer walk time, and fare. The weights of each component were supposed to be calculated using the stated preference (SP) data, which were collected prudently in order to reflect reality. The marginal rate of substitution and wage rate were applied to calculate the weights. The results showed that the weight of walking time per in-vehicle travel time (IVTT) was 1.507, the weight of waiting time (per IVTT) was 1.749, that of transfer time (per IVTT) was 1.474, and that of fare (per IVTT) was 1.476 for trips between inner-city areas in Seoul. Weights for each component were identified as 1.871, 1.967, 1.015, and 0.857, respectively, for trips between Seoul and Gyeonggi. Statistical significance existed between two cases and each variable was also statistically significant. Transit assignment using the relative weights estimated in this study was implemented to analyze the travel index in a macroscopic and quantitative basis. The results showed that average total travel times were 30.23 minutes and 63.29 minutes and average generalized costs were 2,510 won and 3,880 won for trips between inner-city areas in Seoul and between Seoul and Gyeonggi, respectively.

Suggestion of an Automatic BIM-based Repair & Replacement (R&R) Cost Estimating Process (BIM기반 건축물 수선교체비 산정 자동화방안 제시)

  • Park, Ji-Eun;Yu, Jung-Ho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.87-88
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    • 2016
  • In order to assess the design value of engineering work from the point of view of LCC (Life Cycle Cost) in Korea, it is mandatory for all construction works that the total construction costs are over 10 billion won. The LCC includes initial construction costs, maintenance & operation costs, energy costs, end-of-life costs, and so on. Among these, the portion for maintenance & operation costs for a building is sizeable, as compared to the initial construction costs. Furthermore, the paradigm for construction industry has rapidly shifted from 2D to BIM, which includes design planning and data management. However, the study of BIM-based LCC analysis is not adequate today, even though all domestic construction projects ordered by the Public Procurement Service have to adopt BIM. Therefore, this study suggests a methodology of BIM-based LCC analysis that is particularly focused on repair and replacement (R&R) cost. For this purpose, we defined requirements of calculating R&R cost and extracted X from the relevant IFC data. Thereafter, we input them to the ontology of calculating the initial construction costs to obtain an objective output. Finally, in order to automatically calculate R&R cost, mapping with R&R criteria was performed. We expect that our methodology will contribute to more efficiently calculate R&R cost and, furthermore, that this methodology will be applicable to all range of total LCC. Thus, the proposed process of automatic BIM-based LCC analysis will contribute to making LCC analysis more fast and accurate than it is at present.

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A Descriptive Study for Nursing Care Cost According to the Level of Care Requirement (간호요구도에 따른 간호비용 실태에 관한 조사연구)

  • Song, Kyung Ja;Yoo, Cheong Suk;Kim, Eun Hye;Kim, Jin Hyun;Kim, Myung Ae
    • Journal of Korean Clinical Nursing Research
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    • v.18 no.2
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    • pp.183-195
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    • 2012
  • Purpose: This study was performed to identify the variations of nursing care cost depending on nursing care requirement and calculate nursing care cost per one day and one care requirement point. Methods: Nursing care requirement was measured by classifying 3,855 patients according to KPCS-1(Korean Patient Classification System for nurses-1). Nursing care cost was calculated from personnel expenses and nursing care requirement. Nursing cost factors were identified by multiple regression analysis. Results: Average nursing cost per patient per day was 33,588 won, Average nursing care cost per 1 patient classification score was 3,558 won. The nursing cost per 1 patient classification score was different depending on the types and levels of the hospitals. The 4th patient classification group revealed the highest nursing care cost. Nursing cost factors included the number of beds in the hospitals, seniority, number of nurses and first grade in nurse personnel accreditation ($adj-R^2$ 74.0%. p<.05). Conclusion: Nursing care requirements expressed by patient classification scores don't directly correlate with nursing care cost. Further research is needed to evaluate validity and reliability for refining KPCS-1 and to apply variable criteria to nurse personnel accreditation.