• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.395-397
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• 2002

Recently, electric heating using midnight power has brought a rapid increase. Therefore, the increase of midnight power use has much influenced on midnight load pattern and share more than 20% of total midnight electricity consumption. Hence, the distortion of load by using midnight power apparatus is severe and made the usage pattern ineffective electricity usage pattern. This paper analyze the load pattern of midnight power apparatus and policies that can effectively build midnight load. In addition, it provides policies on shifting midnight power apparatus load.

• The Journal of Information Systems
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• v.11 no.1
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• pp.105-127
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• 2002

The objective of this study is to analyze factors affecting usage of b2b e-marketplace. For this purpose, we suggest a research framework where the factors are e-business infrastructure, expectation of competitive advantages and perceived barriers with current and future usages as result variables. For empirical test, 219 companies are surveyed and 177 valid ones among them are analyzed. In result, e-business infrastructure and competitive advantage affect to both current and future usage positively and perceived barriers affect to future usage negatively. The results shows the following two: First, many companies expect improvement of competitive advantages such as bargaining power and efficiency by usage of e-marketplace. Second, for more aggressive usage of e-marketplace, it is important not only to build e-business infrastructure but also to resolve perceived barriers.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.7
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• pp.27-34
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• 2018

The energy consumption of apartment houses is affected by various factors. The criteria for assessing current energy usage are area, region and purpose. The purpose of this study is to obtain the reliability of the method of evaluating the existing energy consumption certificate and to derive usable evaluation factors according to the correlation of factors affecting energy consumption. The research process collects energy usage data for apartment houses in Daegu and calculates statistical results through correlation analysis and multiple regression analysis. As a result, it was found that the power energy is influenced by the yearly factor of physical characteristics, and the heat energy and total energy usage are influenced by the energy source which is energy characteristic factor.

• Korean journal of food and cookery science
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• v.29 no.1
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• pp.37-46
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• 2013

This research was investigated the problem of power blogs related to cooking through the investigation of usage and satisfaction of those blogs as new information media in internet community. As a result, most users had were received cooking information through internet and 85.7% of those users have experienced power blogs related to cooking. The most frequent access methods were via search engines. What users are received from power blogs related to cooking are cooking recipes. What did they want the most from those blogs are accurate recipes for everyday meal. According to this opinion poll, majority of respondents were collected cooking information through internet and experience more and more power blogs related to cooking, whereas users lost their satisfaction and belief from power blogs when there was a lack of enough information on power blogs, an inaccuracy of the information from the power blogs, or an extraordinary recipes. To improve power blogs related to cooking, not only various cooking information but also everyday cooking recipes were required, but power bloggers should also consider everyday cooking materials and recipes with simple cooking utensils.

• Journal of Korean Society on Water Environment
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• v.22 no.3
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• pp.437-443
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• 2006

The Water usage is relationship which is close with the administrative cost from industrial facility. It is not easy to reduce a water usage. This research is the optimization of the waste water quantity which process waste water integration of the standard thermal power plant in system operate time. The turbine rotates by force of the steam and it produces an electricity. Demineralization Water is manufacture purity manufacturing equipment and it is supplied in power plant channel. We knew a possibility of reducing from pure control process. When it is reduced the Back Washing time, Rinsing time of the gravity filter and the activated carbon filter. Also, It is possible even from regeneration phase in Condensate Polishing Demineralization System. In addition, There is also the water which the drain of the sampling water for watching the condition of power plant process will be able to use. Integrates these processes it will be able to reduce an annual 30,000 ton degree. The research is want to use the fundamental data for the water curtailment of the power plant.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.480-483
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• 1998

For memory products, it is very important to develop a new production line as soon as possible. All products are inspected to get rid of defected products at the last testing stage. Those inspection data are called FCM. In this paper, based on the FCM data, Area Usage Factor (AUF) analyzing method will be proposed. Process engineers can make up their mind to which direction they should concentrate their analyzing power.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.13-24
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• 2009

Technology Acceptance Model (TAM) has been a basis model for testing technology use. Post researches of TAM have been conducted with the updating the TAM by adding new independent variables in order to increase the explanatory power of the model. However, the problem is that different independent variables have to be required to keep the explanatory power whenever adopting particular technology. This might reduce the generality of the research model. Thus in order to increase the generality of the model, this study reviewed the previous researches and collected the independent variables used, and regrouped them into three basic independent constructs. New research model was designed with three basic independent constructs with three constructs selected for the involuntary information technology usage environment. Finally, this study concluded that new technology acceptance model could be used to explain the use of new technology without any adding new particular independent variables.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.5
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• pp.911-917
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• 2009

This paper introduces a sequential clustering technique as a tool for an effective grouping of transmission systems. The interconnected network system retains information about the location of each line. With this information, this paper aims to carry out initial clustering through the transmission usage rate, compare the similarity measures of regional information with the similarity measures of location price, and introduce the techniques of the clustering method. This transmission usage rate uses power flow based on congestion costs and similarity measurements using the FCM(Fuzzy C-Mean) algorithm. This paper also aims to prove the propriety of the proposed clustering method by comparing it with existing clustering methods that use the similarity measurement system. The proposed algorithm is demonstrated through the IEEE 39-bus RTS and Korea power system.

• The Journal of Society for e-Business Studies
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• v.17 no.2
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• pp.105-114
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• 2012

Recently, global warming, energy shortage, and environmental disruption have been serious problems in every nation. It became more and more important to reduce the emission of CO2 and to use of energy efficiently. Smart grid was also introduced using the rapidly developing information technology. It deployed the mutual communication concept between customers and the suppliers in the electricity supply. There were increasing demands to adopt the smart meter and to present incentive for efficient energy usage in many developed countries. The objective of this research was to develop the optimal real time pricing model which maximized the profit of the power retailer and reduced the usage of energy. The simulation study was given to show the usefulness of the model. Simulation considered the customer demand response rate and price elasticity rate. The price elasticity rate was compared in the condition of fixed value according to time and variable value according to the customers. The optimal price model could maximize the profit of the power retailer and reduce the energy usage of the consumers.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.7
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• pp.787-792
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• 2015

In this paper, We described the implementation of the Smart Gateway for heterogeneous interface integrated, Web Server and Building Energy Management System(: BEMS). The proposed system introduces the reduction of peak power and electric power usage with service model and operating algorithm for energy saving in building.