• Journal of Families and Better Life
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• v.4 no.2
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• pp.35-51
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• 1986

The purpose of this study is to establish family life cycle of farm and to analyze changes of economic conditions-income, consumption expenditures, savings, assets, and debts-in farm household according to the family life cycle. Income, consumption expenditures, savings, assets, and debts functions are also estimated by age of household head. The data of Farm Household Economy Survey which was conducted in 1983 by Ministry of Agriculture and Fisheries is used in this study. Among total data of 2000, 1603 are analyzed for mean, percentage, and regression using CRISP Program at Office of Rural Development. The results of study can be summarized as follows; 1) Eight stages of family life cycle of farm are established according to the growth of the first child. They are: Establishment stage, Child bearing and preschool stage, Elementary school stage, Middle and high school stage, College and vocational adjustment stage, Period of children's marriage, Re-adjustment stage, and isorganizing stage. 2) The economic conditions of farm household are significantly fluctuated by family life cycle. Among the eight stages, stage Ⅱ is considered relatively comfortable living period and stage Ⅲ, Ⅳ are the most difficult periods of farm household economy. 3) The estimated functions of income, consumption expenditures, savings, assets, and debts by age of household head are as follows; Y(income) = 2, 354, 832+98,456T-1,036T2(F=11.746) C(consumption expenditures) = 81,876+154,976T-1,552T2 (F=37.272) S(savings) = 2,272,956+56,511T+516T2(F=4.262) D(debts) = 903,929+28,300T-438T2(F=3.339) A(assets) = 200,816+1,213,336T-12,930T2(F=21.069) To carry on a reasonable farm household management, a suitable measure to cope with the desire of family and the economic conditions of farm household should be prepared.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.157-164
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• 2016

This paper aims to create standard forms of MRV plan and report, used when policy funds are applied in accordance with ESCO regulations, when energy savings are measured (the savings would be generated as energy users and ESCOs signed the contract of guarantee for energy savings, and energy saving facilities are installed following the contract). To fully reflect the goals and effects of the installation of energy saving facilities, MRV plans and reports will be completed for the purposes of measuring, verifying, and reporting if the goals of energy savings have been achieved successfully. In this paper, the forms of MRV plans and reports were developed with the detailed descriptions for each form and instructions of completion. Based on the developed forms of MRV plans and reports, future studies need to developed guidelines to explain how to fill out these forms considering the application cases by ESCO technology and facility.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2A
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• pp.153-164
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• 2010

In this paper, we propose a multi-channel MAC protocol to improve the channel efficiency and network performance in wireless ad hoc networks. There are two main problems encountered in designing multi-channel MAC protocols. The first problem is the rendezvous problem and the second is multi-channel hidden node problem. In order to solve these problems, most of previous researches that have considered multi-channel MAC protocols use a common control channel to exchange control packets. However, they have a bottleneck problem at common control channel as increasing the number of data channels. The proposed MAC protocol solves the multi-channel hidden node problem using a TDMA scheme and increases the network throughput because transmitting and receiving data at the same time is possible. Also, since there is no common control channel, the network does not suffer from the common control channel saturation problem. Moreover, it achieves energy savings by allowing nodes that are not involved in communication to go into sleep mode. Simulation results show that the proposed MAC protocol improves the network throughput and channel efficiency and provides energy savings.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.1
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• pp.94-102
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• 2015

The high-pass(brand name of Electronic Toll Collection System) utilization trend on the highway continues to grow as 59.4% (by the end of 2013). In this study, we applied the carbon balance method using a fuel chassis dynamometer with the four passenger car classes in order to measure the fuel consumption of the car using the expressway tollgate. We experimented 18 driving mode at general tollgate and high-pass tollgate. As a result, in case of entry/exit toll there were 21.0~56.4ml/veh fuel consumption savings, in case of open toll fuel consumption savings was analyzed as 10.5~28.1ml/veh. In addition, the annual fuel cost savings by virtue of high-pass was 28.2~57.3 billion won at 70% utilization rate, 32.2~65.5 billion won at 80%, 36.2~73.7 billion won at 90% and 40.3~81.9 billion won at 100%.

• Journal of Energy Engineering
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• v.28 no.3
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• pp.34-41
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• 2019

It is essential to introduce EERS (Energy Efficiency Resource Standards) according to the trend of the era in which energy saving is emphasized, and it is time to settle down in a stable manner. Electric motors and lighting devices, which account for more than 60% of the nation's electricity use, are the most effective items of the EERS. And accurate methods of calculating savings must be preceded. In this study, the operation rate and load rate are measured through the demonstration of energy use at 400 businesses and the measured rates are used for EERS savings calculation. The results imply that the proposed method can be successfully applied to calculate cost-effective and reliable energy savings.

• KIEE International Transactions on Power Engineering
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• v.11A no.4
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• pp.45-50
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• 2001

The impact evaluation of a DSM program is a very important issue since the results are used to determine the sustainability of a program. In general. to estimate the impacts of a DSM program it is required to measure the electricity usage changes before and after a program. Since the measurement-based approaches cost highly, most of the conventional evaluations are based on the average figures. However estimation of the average-based impacts can lead to both distorted results of over/under estimation of kW and kWh savings and non-optimal DSM planning. In this paper, we have developed a new multi-point measurement approach which can evaluate kW and kWh savings of a DSM program more exactly. To do this, the saving rate and operating rate are defined and set as the function of load factor of a customer, and these rates are incorporated with the conventional diffusion function of Bass to project the future impacts of a DSM program. The case study is performed on the inverter program of Korea by using the suggested approach.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.371-376
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• 2015

The Internet of Things (IoT) significantly increases the amount of data. Database compression is important for big data because it can reduce costs for storage systems and save I/O bandwidth. However, it could show low performance for write-intensive workloads such as OLTP due to the updates of compressed pages. In this paper, we present practical guidelines for the performance improvement of database compression. Especially, we propose the SELECTIVE strategy, which compresses only tables whose space savings are close to the expected space savings calculated by the compressed page size. Experimental results using the TPC-C benchmark and MySQL show that the strategy can achieve 1.1 times better performance than the uncompressed counterpart with 17.3% space savings.

• Journal of Energy Engineering
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• v.26 no.2
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• pp.93-98
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• 2017

This paper aims to examine how gamification strategies lead to the changes in consumers' perspectives and behaviors on energy savings. Since gamification strategies began to be widely used in the late 2010s, the strategies have been extensively applied to a variety of industries and applications, including the field of energy savings. As energy saving practices adopting gamification strategies reflect the attributes of game, citizens can be pleased to participate in energy saving activities. Also, the gamification strategies are expected to raise citizens' awareness to the necessity of reducing energy consumption. Therefore, considering the subjects and specific objectives, the action plans for applying gamification strategies to energy saving programs are required to be established to meet the demand of new services on energy savings.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6469-6477
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• 2013

As the Internet has grown, energy consumption and GHG emission from internet use have become issues in recent years. On the other hand, such interest in greening the Internet has focused on edge devices, and there is a lack of deeper related studies of the energy wasted by excessive network-connectivity and the savings potential in wired network equipment. This study presents the background and reasonability of studies on the energy efficiency of wired networks in terms of the environment, economy and energy resources. The energy consumption and savings potential of network equipment were also estimated and the major factors of energy consumption was analyzed based on the data, and future studies for the Internet are presented.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.522-528
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• 2012

Currently, the energy consumption of electric lighting in an office building is accounted for more than 30% of the total energy consumption. In order to reduce the energy consumed by the indoor lighting, the daylight as a natural energy resource can play an important role in energy savings. The daylight can have positive impacts on improvement of work efficiency and productivity, and also make people feel more psychologically stable. Moreover, by using the daylight, we can definitely reduce the energy consumption in office buildings. Thus, the purpose of this study is to determine the LED dimming ratio depending on the ratio by calculating the amount of artificial illumination required according to the change of daylight by using the light simulation software that can quantify and visualize the performance of daylight. As a result, the energy savings could be obtained up to 30%.