• Title/Summary/Keyword: Operation model

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An Empirical Study On Information Systems Operation Cost Estimation Model (정보시스템 운영사업 비용산정 모형 개발에 대한 실증적 연구)

  • Kim, Hyeon-Su
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.6
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    • pp.1810-1817
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    • 2000
  • The purpose of this research is to develop an estimation model for information systems operating costs. Current cost estimation practices and types of sytem management projects have been reviewed an analyses. Typical operating project types of information systems are determined. They are application system operation, help disk operation, network management and operation, and hardware management. For each type of projects, cost factors ar identified and a structure of cost estimation model is defined. Cost estimation models have been constructed and tested by 24 real operation projects data. Statistical analysis shows derived models are statistically significant. User groups' opinion on these draft cost estimation model has been surveyed and summarized. The results of this research can be used as a cornerstone for future research on operating cost estimation, and for cost estimation guideline of information systems operation projects.

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Operation Control Model of Lift Car to Reduce Worker Lifting Time in Tall Building Construction (초고층 건축공사의 작업원 양중시간 단축을 위한 리프트 카 운행제어 모델)

  • Nam, Chulu;Kwon, Jaebeom;Kim, Taehoon;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.160-161
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    • 2016
  • In tall building construction, lift car for worker lifting is a critical factor for construction productivity. To reduce worker lifting time, existing researches have been conducted on lift car planning. While, research on lift car operation is insufficient. For the efficient reduction of worker lifting time, lift car operation control is needed with lift car planning. Therefore, this research suggests operation control model of lift car to reduce worker lifting time. According to the result of a model test, the operation control model contributes to reasonable reduction of worker lifting time.

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Development of Simulation Model Based Optimal Start and Stop Control Daily Strategy (시뮬레이션 모델기반 냉난방 설비 일별 최적 기동/정지 제어기법 개발)

  • Lee, Chanwoo;Koo, Junemo
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.14 no.1
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    • pp.16-21
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    • 2018
  • This work aims to develop a platform to investigate the effect of operation schedules on the building energy consumption and to derive a simulation model based optimal start and stop daily strategy. An open-source building energy simulation tool DOE2 is used for the engine, and the developed simulation model is validated using ASHRAE guideline 14. The effect of late-start/early-stop operation of HVAC system on the daily building energy consumption was analyzed using the developed simulation model. It was found that about 10% of energy consumption cut was possible using the control strategy for an hour of advance of the stop operation, and about 3% per an hour of delay of the start operation.

Model Structuring Technique by A Knowledge Representation Scheme: A FMS Fractal Architecture Example (지식 표현 기법을 이용한 모델 구조의 표현과 구성 : 단편구조 유연생산 시스템 예)

  • 조대호
    • Journal of the Korea Society for Simulation
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    • v.4 no.1
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    • pp.1-11
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    • 1995
  • The model of a FMS (Flexible Manufacturing System) admits to a natural hierarchical decomposition of highly decoupled units with similar structure and control. The FMS fractal architecture model represents a hierarchical structure built from elements of a single basic design. A SES (System Entity Structure) is a structural knowledge representation scheme that contains knowledge of decomposition, taxonomy, and coupling relationships of a system necessary to direct model synthesis. A substructure of a SES is extracted for use as the skeleton for a model. This substructure is called pruned SES and the extraction operation of a pruned SES from a SES is called pruning (or pruning operation). This paper presents a pruning operation called recursive pruning. It is applied to SES for generating a model structure whose sub-structure contains copies if itself as in FMS fractal architecture. Another pruning operation called delay pruning is also presented. Combined with recursive pruning the delay pruningis a useful tool for representing and constructing complex systems.

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Developing a Security Systems Operation Cost Estimation Model with Approximate Sizing (근사규모 추정에 의한 증권시스템 운영비용 산정 모텔 개발)

  • 최원영;김현수
    • Journal of Information Technology Applications and Management
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    • v.11 no.1
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    • pp.39-51
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    • 2004
  • Application systems outsourcing is an important part of IT outsourcing services. Application systems outsourcing costs is determined by service levels of outsourcers. Recent researches show there is a strong need to build industry-specific cost estimation models. In this study, an industry-specific application systems operation cost estimation model is suggested. We reviewed operation cost models of previous researches, and proposed a cost estimation model for security industry. Industry-specific service factors are defined and service levels are determined by Interviews with experts. The proposed model is tested and adjusted with empirical data. The new model shows more accurate prediction than previous general models. Future research will be needed to develop outsourcing cost estimation models for other industries and to refine cost models developed in this study.

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Siniulating Daily Inflow and Release Rates for Irrigation Reservoirs(III) - Model Application to Dafly Reservoir Operations - (관개용 저수지의 일별 유입량과 방류량의 모의 발생 (III) -저수지 모의조작 모형의 응용-)

  • 김현영;박승우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.30 no.3
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    • pp.95-105
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    • 1988
  • This study refers to the development of a hydrologic model simulating daily inflow and release rates for irrigation reservoirs. A daily - based model is needed for adequate operation of an irrigation reservoir sufficing the water demand for paddy fields which is closely related to meteorological conditions. And the objective or this study is to develop a Daily Irrigation Reservoir Operation Model(DIROM) combining the inflow and the release models which depicts the daily water level fluctuations of an irrigation reservoir, and to evaluate the applicability of the model. DIROM was applied to four reservoirs and daily water levels were simulated and compared to the observed data. The model behaviour was also compared with that of a ten - day based model, Reservoir Operation Study(ROS) which has been applied for determining the design capacity of reservoirs. Various combinations of measured and simulated inflow and release rates for tested reservoirs were used to define the daily water level fluctuations. Simulated release rates and measured inflow data resulted in larger errors, and simulated inflow and release rates produced the smallest errors in water level comparison. Two resevoir operation models, DIROM and ROS were applied to the same reservoir and the simulation results compared. The computational errors of DIROM ware smaller than those of ROS, and DIROM was more sensitive to meteorological conditions. DIROM demonstrated its potenial applicability in water management and operation.

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Development of an Optimal Operation Support Software for Refuse Incineration Plant using Fuzzy Model and Genetic Algorithm (퍼지모델과 유전 알고리즘을 이용한 쓰레기 소각로의 최적 운전 보조 소프트웨어 개발)

  • 박종진;최규석
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.03a
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    • pp.116-119
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    • 1998
  • Abstract-In paper, an operation support software for combustion control of refuse incineration plant is developed using fuzzy model and genetic algorithm. It has two major modules which are simulation module and optimal operation module. In simulation module modelling is performed to obtain fuzzy model of the refuse incineration plant and obtained fuzzy model predicts outputs of the plant when inputs are given. This module can be used to obtain control strategy, and train and enhance operators' skill by simulating the plant. And in optimal operation module, genetic algorithm searches and finds out optimal control inputs over all possible solutions in respect to desired outputs. In order to testify proposed operation support software, computer simulation was carried out.

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Optimal Operation for Minimizing Energy Consumption in Electric Multiple Unit (전동열차의 주행에너지 소비를 최소화하는 최적운전)

  • 김치태;김동환;한성호;박영일
    • Proceedings of the KSR Conference
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    • 2002.05a
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    • pp.431-436
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    • 2002
  • Train driving should be satisfied to run fixed distance within given time, and it is desirable to minimize energy consumption. Minimizing energy consumption depends on the train operation modes by driver or automatic operation. In this article, an optimal operation to minimize energy consumption by changing modes of train operation by a driver is investigated. First, powering model, braking model and consumed energy calculation model are introduced by using Matlab software. The accuracy of the model established by simulation is compared with the real experimental data, which is obtained from an authorized institution. Second, several simulations under a variety of operations in the ideal track are executed, and then the optimal pattern of train driving is found.

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The Design of The Object object Data Operation Module using META Data Class (메타 데이터 클래스를 이용한 객체 지향 데이터 조작 모듈의 설계)

  • Kim, Jun-Mo
    • Journal of the Korea Computer Industry Society
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    • v.10 no.3
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    • pp.73-78
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    • 2009
  • This paper designed Object-orientid Meta_data operation module that introducted new Meta_class basis the Meta_Classfication model. In order to implement this Data model, we have introducted heurilistic class to traditional object-orinted database. And we designed Meta_data operation module for Inplemetated Meta_data that basis on the heurilistic classficasion model using stored Meta_data in extened object-oriend data model.

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A Basic Study on the Development of O&M Cost Assessment Model to Improve Operational Efficiency of Large Public Research Infrastructures (CAM) (대형 공공연구인프라의 운영 효율성 제고를 위한 운영 및 유지관리비 평가모델 개발 기초연구)

  • Choi, Sun-Ah;Son, Seung-Hyun;Lee, Sung-Ho;Oh, Oum-Joong;Han, Bum-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.93-94
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    • 2021
  • The Korean government has invested a tremendous amount of money in the last 10 years to build large public research infrastructures (LPRI). For efficient operation and maintenance of LPRI built with expensive equipment and professional engineers, reasonable budget needs to be allocated. However, it is difficult to fulfill sustainable operation and maintenance (O&M) because there is no standard on budgeting for efficient LPRI operation, including expensive equipment and manpower allocation. There have been a lot of cost assessment studies regarding O&M of high-demand facilities such as hospitals, hotels and residential buildings, but a very few on sustainable O&M of LPRI. Therefore, mid/long-term budget establishment plans for efficient LPRI O&M are required from the initial planning stage and a cost assessment model to support the plans should be developed. The objective of this paper is to propose a cost assessment model for sustainable operation and maintenance of large public research infrastructures. To do so, actual O&M data of 6 LPRI types in operation are collected, and regression analysis model (RAM) is used for development and evaluation a cost assessment model. The study result will support sustainable operation of LPRI from a business perspective and be used as basic data for continuous development of cost assessment models to establish budgets for LPRI operation from an academic perspective.

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