• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2393-2395
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• 1998

Today it is hard to imagine the operation of power network and its facilities without the control systems such as EMS/SCADA/DAS. In KEPCO, data links to the upper layer of control system (SCABA) is required to launched DAS project lately, in terms of the needs of saving cost for the data gathering facilities (RTU) in the substation that previously equipped SCADA RTU. In this Paper we researched the circumstance of the KEPCO SCADA systems for data link and present the scheme of the data link between DAS and SCADA.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2831-2833
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• 2000

Since the access to Station Control Computers(DCCs) is restricted to the main control room(MCR). the operating data of power plants can't be easily analyzed and effectively managed. It is possible to reduce waste of time and human energy by means of building the Remote Monitoring Network of DCCs connected to Local Area Network. automatizing collection and analysis of DCC data. gathering the operating state of power plants. and managing systematically. Furthermore. this system help preventing trip by means of analyzing the data promptly and watching main system continuously.

• Journal of the Korea Institute of Building Construction
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• v.9 no.2
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• pp.63-68
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• 2009

Construction Performance measurement and management has been interested by construction practitioners. However, current construction project management practices are related to short-term improvement plans rather than long-term and systematic approaches based upon performance analysis. AR a result, there is a need for developing of a collaborative plan over project life cycle. Therefore, this paper reviews extensive literature and proposes the construction performance estimating model using a system dynamics. The paper proposes casual maps for planning, design, procurement, and construction phases. Each casual map includes all performance indicators and factors that impact on performance directly or indirectly. These casual maps that were developed by system thinking will enhance the understanding of the relationships among performances and factors. After further data gathering, these models can be used to estimate construction performance and eventually these will save project costs and shorten project schedule.

• Proceedings of the ESK Conference
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• 1993.10a
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• pp.205-219
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• 1993

The purpose of this study was to determine maximal width of bodice and skirt pattern of 50 college girls for more scientific patternmaking development in clothing construction. The body measurements data of this study was calculated by SAS, means analysis, regression analysis and T-test were used. The results are as follows. 1. The results of analyzing the whole 85 items of the entire body measurements of model are in table 2. 2. It was suggested the whole average cross section of measurement parts by rohrer index as the result of gathering the each section. 3. Representative items were suggested as fundamental parts in determining the maximal width of bodice and skirt basic pattern by rohrer index. 4. The entire abbreviated calculation formula of bodice and xkirt pattern was suggested.

• Fashion & Textile Research Journal
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• v.2 no.3
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• pp.205-214
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• 2000

With the increase of using Internet in clothing shopping, the gathering of customer information based on online research is emphasized. The purposes of this paper summarized the several aspects of on-line research as new data collection methods and investigate some characteristics through reviewing extant literature on online research. We explored a conceptual model of response behavior for the purpose of the literature in a manner which enhance a deeper understanding of online response behavior. This model was focused on exchange paradigm instead of a "help-the-sponsor" approach. The proposed conceptual framework included questionnaire design, response incentive, commitment, convenience, expertise, response behavior (satisfaction and attitude), and online research performance.

• Proceedings of the KSME Conference
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• 2008.11b
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• pp.2574-2577
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• 2008

The screw-feeders are used at gathering the minerals at the seafloor, transportation of the sewage, and at the beverage industry. This study was carried out to study solid-liquid mixture hydraulic transport of solid particles in a horizontal and inclined screw-feeders with rotating. This study is about the amount of the alteration amount of the material transportation for regular transportation. In this study a clear acrylic pipe was used in order to observe the movement of solid particles. Relates to the angle, rpm and ratio of pitch ; finding the optimum condition and knowing about designing the screw feeders shape. As a result, we found the suitable rpm and a suitable angle. According to the experiment, the best rpm and angle are 100-200rpm and $10^{\circ}$, respectively.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.233-241
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• 2005

The most important thing in the garments enterprises is fast reaction. Expecially in the China has both many population and large territory, so each region of China, for instance, northeast, northwest, huanan, huabei, has various climate and considerably different temperature. As a result China garments enterprises require different clothes at the same time. This study build a reliable market-response process as a sub module of SCM that lay emphasis on production and sale cope with specific character of China. This process build a information chain including manufacture-planning, manufacture-ordering, production, arrivals of goods, distribution, sale, sale-evaluation, cross shipment, supplement shipment, and ordering popular goods and similar products. As a result of those, the focused points of this process are real time data gathering and various analysis of data, so it can be possible supporting more faster and more accurate market decision making system and our proposed goal is accomplishment of management profit.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.333-339
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• 2010

Data mining is the process of finding and analyzing data from a big database and summarizing it into useful information for a decision-making. A variety of data mining techniques have been being used for wide range of industries. One application of those is especially so for gathering meaningful information from process data in manufacturing factories for quality improvement. The purpose of this paper is to provide a methodology to improve manufacturing quality of fuel tanks which are auto-parts. The methodology is to analyse influential attributes and establish a model for optimal manufacturing condition of fuel tanks to improve the quality using decision tree, association rule, and feature selection.

• Journal of the Korea Society of Computer and Information
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• v.23 no.2
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• pp.99-107
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• 2018

This study started from the public interest purpose to help accessibility for the information acquisition of the vulnerable groups due to visual difficulties such as the elderly and the visually impaired. In this study, the server resources are minimized and implemented in most of the user smart phones. In addition, we implement a method to gather necessary information by collecting only pattern information by utilizing crawl & clipping without having to visit the site of the information of the various sites having the data necessary for the user, and to have it in the server. Especially, we applied the TTS(Text-To-Speech) service composed of smart phone apps and tried to develop a unified customized information collection service based on voice-based information collection method.

• International Journal of Reliability and Applications
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• v.4 no.2
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• pp.79-95
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• 2003

Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.