• Journal of the Korean Institute of Rural Architecture
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• v.1 no.3
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• pp.27-34
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• 1999

The purpose of this study was to provide basic information on the rural house planning through the research on the use of the standard plans, architectural characteristics, importance of the planning points and housing satisfaction of the residents. 25 rural households scattered around Chungchong provinces-south and north- were surveyed for this study through the questionnaire method. The results of this study were as follows. The importance considered first was the low construction costs, and therefore the standard plans were not fully acknowledged and commonly used. Most real plans are the single-floor houses with 3 rooms, having 25-30 pyong magnitude. The planning points stressed highly were the storage space, convenience of the plan and size of the living room. Housing satisfaction level was high on direction of the facade, size of the living room and position of the bath/washing room, but low for the storage space.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.895-904
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• 2015

This paper presents a probabilistic approach of reliability evaluation and economic assessment for solving transmission network expansion planning problems. Three methods are proposed for TNEP, which are reorganizing the existing power system focused on the buses of interest, selecting candidates using modified system operating state method with healthy, marginal and at-risk states, and finally choosing the optimal alternative using cost-optimization method. TNEP candidates can be selected based on the state reliability such as sufficient and insufficient indices, as proposed in this paper. The process of economic assessment involves the costs of construction, maintenance and operation, congestion, and outage. The case studies are carried out with modified IEEE-24 bus system and Jeju island power system expansion plan in Korea, to verify the proposed methodology.

• Proceedings of the KIEE Conference
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• 1999.11b
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• pp.181-183
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• 1999

As one of ancillary services, voltage support and reactive power service should be compensed properly for its contribution. In this paper, a cost-based reactive power planning is presented. which minimizes the total cost of reactive power support of generators and VAR compensation facility installation. Reactive power support of generator is evaluated by the opportunity costs of reduced energy sale considering the varying SMP(system marginal price) in power market, Gradient projection method is applied to solve this reactive power planning using IEEE14 bus system.

• Journal of the Korean Home Economics Association
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• v.36 no.10
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• pp.1-22
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• 1998

The purpose of this study was to analyze the state of the living arrangement plan, the housing plan, and economic plan for elderly's life and contributing factors to their life plan. The sample in this study consisted of 713 middle-aged and aged couple living in Korea. Statistics employed for the analysis were frequencies, means, x2 test, logit analysis and multiple regression. The results could be summarized as follows. The middle-aged and aged couple were planning to live independently in their elderly life. The husband's age, religion, living area, total income, total asset, home owenership had significant effects on the living arrangement of the middle-aged and aged. They had a plan to live in single detached house in their elderly life. And husband's age, educational attaintment, job, and living region were affecting the housing type in their elder life. The middle-aged and aged people had a economic plan that they estimated 970,000 won as living cost in their elderly life. And the factors affecting living costs were husband's educational attaintment, job, and total asset.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.139-150
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• 2006

The aim of this study is to establish an efficient distribution planning for a capacitated multi-stage supply chain. We assume that the demand information during planning horizon is given a deterministic form using a certain forecasting method. Under such a condition, we present a cost effective heuristic method for minimizing chain-wide supply chain inventory cost that is the sum of holding and backorder costs by using look-ahead technique. We cope with the capacity restriction constraints through look-ahead technique that considers not only the current demand information but also future demand information. To evaluate performance of the proposed heuristic method, we compared it with the extant research that utilizes echelon stock concept, under various supply chain settings.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.1
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• pp.9-17
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• 1992

Proper resource allocation is also a very important topic in power system problems, especially in operation and planning. One such is optimal maintenance problem in operation and planning. Least cost and highest reliability should be the subjects to be pursued. A probabilistic operation simulation model developed recently by authors is applied to the proboem of optimal maintenance scheduling. Three different methods are compared, marginal maintenance cost, levelized risk and maintenance space. The method by the marginal maintenance costs shows the least cost, the highest reliability and the highest maintenance outage rates. This latter characteristics may considerably influence the results of genetation planning, because the usual maintenance outages obtained from the other methods have shown to be lower.

• 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.

• Korean Chemical Engineering Research
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• v.50 no.3
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• pp.471-478
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• 2012

A carbon capture and storage (CCS) plays a very important role to reduce $CO_2$ dramatically in $CO_2$ emission sources which are distributed throughout various areas. Numerous research works have been undertaken to analyze the techno-economic feasibility of planning the CCS infrastructure. However, uncertainties such as $CO_2$ emissions, $CO_2$ reduction costs, and carbon taxes may exist in various impact factors of the CCS infrastructure. However, few research works have adopted these uncertainties in designing the CCS infrastructure. In this study, a two-stage stochastic programming model is developed for planning the CCS infrastructure under uncertain operating costs and carbon taxes. It can help determine where and how much $CO_2$ to capture, store or transport for the purpose of minimizing the total annual $CO_2$ reduction cost in handling the uncertainties while meeting the $CO_2$ mitigation target. The capability of the proposed model to provide correct decisions despite changing the operating costs and carbon taxes is tested by applying it to a real case study based on Korea. The results will help to determine planning of a CCS infrastructure under uncertain environments.

• ETRI Journal
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• v.37 no.2
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• pp.295-305
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• 2015

The purpose of this paper is to a develop model for generation expansion planning that can support diverse environmental policies for the reduction of greenhouse gases (GHGs) of South Korea. South Korea is required to reduce its GHG emissions by 30% from the BAU level by 2020. The Wien Automatic System Planning Package currently used in South Korea has limitations in terms of the application of renewable energy policies and GHG targets; this paper proposes the use of an equipment planning model named generation and transmission expansion program, which has been developed to resolve such limitations. For verification of the model, a case study on the 6th Basic Plan of Long-Term Electricity Supply and Demand has been conducted. The results show that for the year 2020 South Korea's annual GHG emissions will be 36.6% more than the GHG Target Management System (GHG TMS) target set for the same year (30%). To achieve the GHG TMS target, the costs involved amount to about 72 trillion KRW (70 billion USD). Consequently, the South Korean government needs to review the performability of this target.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.711-723
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• 2016

With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.