• 에너지협의회보
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• s.76
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• pp.38-43
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• 2006

2007년이면 온실가스 배출통계 시스템 구축이 완료된다. 산자부는 에너지∙산업공정부문 배출통계 작성, 관리에 관한 법적근거를 에너지기본법에 신설하고, 『온실가스통계 DB구축 추진협의회』를 구성, 온실가스 인벤토리시스템(KONIS：Korean National Inventry System)을 구축한다. 또한 산업, 가정∙상업, 수송부문 최종소비단계의 온실가스 배출량 조사를 추진하여 국가에너지종합정보DB를 구축한다. 산자부는 온실가스통계 체계 구축을 통해 기술적, 경제적 감축잠재량을 분석하고, 정부-산업계가 수용 가능한 수준의 자발적 감축규모를 산정할 계획이다. 이를 통해 Post-2012 국제협상에 대비한 우리나라 대응전략을 수립하고, 산업계의 기후변화협약 대응능력과 조기감축 노력을 촉진할 수 있을 것으로 기대한다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.91-98
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• 2010

Large corpus-based concatenating Text-to-Speech (TTS) systems can generate natural synthetic speech without additional signal processing. Because the improvements in the natualness, personality, speaking style, emotions of synthetic speech need the increase of the size of speech DB, it is necessary to prune the redundant speech segments in a large speech segment DB. In this paper, we propose a new method to construct a segmental speech DB for the Korean TTS system based on a clustering algorithm to downsize the segmental speech DB. For the performance test, the synthetic speech was generated using the Korean TTS system which consists of the language processing module, prosody processing module, segment selection module, speech concatenation module, and segmental speech DB. And MOS test was executed with the a set of synthetic speech generated with 4 different segmental speech DBs. We constructed 4 different segmental speech DB by combining CM1(or CM2) tree clustering method and full DB (or reduced DB). Experimental results show that the proposed method can reduce the size of speech DB by 23% and get high MOS in the perception test. Therefore the proposed method can be applied to make a small sized TTS.

• MALSORI
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• no.44
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• pp.145-156
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• 2002

This paper describes the reduction of DB without degradation of speech quality in Corpus-based Speech synthesizer of the Korean language. In this paper, it is proposed that the frequency of every unit in reduced DB reflect the frequency of units in the Korean language. So, the target population of every unit is set to be proportional to its frequency in Korean large corpus (780k sentences, 45Mega phones). Secondly, the frequent instances during synthesis should be also maintained in reduced DB. To the last, it is proposed that frequency of every instance be reflected in clustering criteria and used as another important criterion for selection of representative instances. The evaluation result with proposed methods reveals better quality than that using conventional methods.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.87-93
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• 2010

최근 기후변화에 따른 생태계의 파괴, 해빙, 해수면 상승 등의 현상이 발생함에 따라 코펜하겐에서는 유엔기후변화협약 당사국 간의 온실가스 감축 논의를 위한 총회가 개최되는 등 전 세계적으로 기후변화에 대한 관심이 고조되고 있다. 국내에서는 기후변화가 지구환경시스템과 서로 밀접한 관계가 있음에 따라, 기후변화에 따른 환경의 변화를 함께 고려하는 연구가 진행되고 있다. 그러나 현재 기후-환경 통합 연구에 필요한 자료는 산재되어 있고, 필요한 자료의 확보에 많은 시간과 노력이 필요로 하기 때문에 원활한 연구 진행이 어려운 실정이다. 따라서 본 연구에서는 기후-환경 분야의 분석 지원을 위한 통합DB의 구축방안에 대해 연구하였다. 통합DB의 구축 시 발생하는 문제점에 대해 분석하고, GIS의 적용에 필요한 위치체계의 정의, 데이터 포맷에 따른 관리 방안과 통합 DB 구축을 위한 데이터 표준화 방법을 이용하여 GIS기반 기후 환경 통합DB 구축 방안에 대해 제시하였다. 본 논문을 통해 구축되는 통합DB는 기후-환경 데이터의 원활한 공유를 통해 기후 환경 상호작용의 분석 기반을 마련하고, GIS기반의 공간분석에 지원이 가능하리라 기대된다. 나아가 기후-환경 변화에 대한 분석, 모의를 통해 기후-환경 변화에 따른 대응 전략 수립이 가능할 것으로 사료된다.

• Journal of Climate Change Research
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• v.3 no.2
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• pp.117-128
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• 2012

The Government of South Korea has continued its effort to fixate virtuous circle of economic growth and climate change response to cope with international demands and pressure to commitment for greenhouse gas reduction effectively. Nationally, Korean Government has established "Enforcement of the Framework Act on Low carbon, Green Growth"(2010. 4. 13) to implement national mid-term GHG mitigation goal(30% reduction by 2020 compare to BAU), which established the foundation for phased GHG mitigation by setting up the sectoral and industrial goal, adopting GHG and Energy Target Management System. Also, follow-up measures are taken such as planning and control of mid-term and short-term mitigation target by detailed analysis of potential mitigation of sector and industry, building up the infrastructure for periodic and systematic analysis of target management. Likewise, it is required to establish more accurate, reliable and detailed sectoral GHG inventory for successfully establishment and implement the frame act. In comparison to the $CO_2$ emission, Especially fluorinated greenhouse gases (HFCs, PFCs, $SF_6$) are lacking research to build the greenhouse gas inventories to identify emissions sources and collection of the applicable collection activities data. In this study, with the refrigeration and air conditioning sector being used to fluorine refrigerant(HFCs) as the center, greenhouse gas emission estimation methodology for evaluating the feasibility of using this methodology look over and mobile air conditioning, fixed air conditioning, household refrigeration equipment, commercial refrigeration equipment for the greenhouse gas emissions were calculated. First look at in terms of methodology, refrigeration and air conditioning sector GHG emissions in developing country-specific emission factors and activity data of the industrial sector the construction of the DB is not enough, it's 2006 IPCC Guidelines Tier 2a (emission factor approach) rather than the Tier 2b (mass balance approach) deems appropriate, and each detail by process, sectoral activity data more accurate, if DB is built Tier 2a (emission factor approach) can be applied will also be judged. Refrigeration and air conditioning sector in 2009 due to the use of refrigerant greenhouse gas emissions ($CO_2eq.$) assessment results, portable air conditioner 1,974,646 ton to year, fixed-mount air conditioner 1,011,754 ton to year, household refrigeration unit 4,396 ton to year, commercial refrigeration equipment 1,263 ton to year was estimated to total 2,992,037 tons.

• Journal of Climate Change Research
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• v.2 no.1
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• pp.15-32
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• 2011

Due to greenhouse gas increased by human activities, abnormal climate changes are continuously occurring everywhere in the world and internationally people make efforts to reduce the emission of greenhouse gas. Our country also is making endeavors to realize low carbon society on the foundation of the green growth and for this low carbon consumption pattern settlement through green life is necessary. Therefore for the nationals the offering of the information on greenhouse gas emission that is reduced through the change to low carbon life is required. In this study the objects are beef and wine whose weight of import is high among the beverages and foods consumed in the country and we calculated the food mileage and emission of carbon dioxide of the domestic and foreign product beef and wine and estimated the potential amount that can be reduced when replacing the imported products with domestic products. As the year 2007 being standard if we replace 10% of imported beef with domestic products it is possible to reduce 14,000 tons of carbon dioxide per year and on one day out of a year if we replace imported beef with domestic beef the reduction of 384 tons of carbon dioxide is appeared to be possible. In the same standard year if we replace 10% of imported wine with domestic product we can reduce 1,396 tons and on one day out of a year if we replace imported wine with domestic wine reduction of 38 tons of carbon per year appeared to be possible. Through active promotion and expansion of variety of domestic foods and beverages in the real life of the nationals the consumption pattern of natural low carbon life should be achieved and offering of more systematized greenhouse gas emission DB is thought to be necessary.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.2
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• pp.256-262
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• 2011

Currently among the several methods to estimate an environmental impact of products, Life Cycle Assessment (LCA) technique is mostly used. The Ministry of Environment has been performed the carbon footprint labelling to give the carbon record of product by using this method. But the calculation of carbon footprint in primary agricultural product which is raw material of the processed food cannot be made because there is lack of methodology and LCI DB at agriculture sector. Therefore, LCA carried out to estimate carbon footprint, and established LCI DB for complex fertilizers (21-17-17 1 kg, 17-21-17 1 kg, 15-15-15 1 kg, Unspecified 1 kg) in the production system. The result of LCI DB analysis focussed on the GHG, and it was observed that the values of carbon footprint were $2.42E+00kg\;CO_2-eq.kg^{-1}$ for 21-17-17, $2.10E+00kg\;CO_2-eq.kg^{-1}$ for 17-21-17, $2.23E+00kg\;CO_2-eq.kg^{-1}$ for 15-15-15 and $3.56E+00kg\;CO_2-eq.kg^{-1}$ for Unspecified. For the analysis of LCIA (Life Cycle Impact Assessment) on complex fertilizers in the production system, the carbon footprint from pre-manufacturing phase is contributed to 98.96%, 98.81%, 98.88% and 99.30% on each complex fertilizer with 21-17-17, 17-21-17, 15-15-15, and Unspecified, respectively. These results will be used in basic data for estimation of agricultural greenhouse gas emissions.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.15-25
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• 2022

As the incidence and mortality of serious disasters in the construction industry are the highest, various efforts are being made in Korea to reduce them. Among them, risk assessment is used as data for disaster reduction measures and evaluation of risk factors at the construction stage. However, the existing risk assessment involves the subjectivity of the performer and is vulnerable to the domestic construction site. This study established a DB classification system for risk assessment with the aim of early identification and pre-removal of risks by quantitatively deriving risk factors using BIM in the risk assessment field and presents a methodology for risk assessment using BIM. Through this, prior removal of risks increases the safety of construction workers and reduces additional costs in the field of safety management. In addition, since it can be applied to new construction methods, it improves the understanding of project participants and becomes a tool for communication. This study proposes a framework for deriving quantitative risks based on BIM, and will be used as a base technology in the field of risk assessment using BIM in the future.

• Journal of Information Management
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• v.34 no.1
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• pp.59-75
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• 2003

This study described about development the integrated management system for research reports and construction full text database of KAERI reports. This system enables centralization of various information related to reports by connecting with management information system. The advantages of this study are consistency of database between digital library and MIS, reduction of budget and manpower and increase of research productivity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.117-124
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• 2017

A Smart Grid is a system that can efficiently use energy by exchanging real-time information in both directions between a consumer and a power supplier using ICT technology on an existing power network. DR(Demand response) is an arrangement in which electricity users can sell the electricity they save to the electricity market when the price of electricity is high or the power system is crisis. In this study, we developed a power meter data transmission device and power IT system that measure the demand information in real-time using a smart meter and transmit it to a cloud server. The power meter data transmission device developed in this study uses alight sensor connected to a Raspberry Pi 3 to measure the number of blinking lamps on the KEPCO meter per unit of power, in order to provide reliable data without any measurement errors with respect to the KEPCO power data. The power measurement data transmission device uses the standard communication protocol, OpenADR 2.0b. The measured data is transmitted to the power IT system, which consists of the VEN, VTN, and calculation program, via the LTE WiFi communication network and stored in its MySQL DB. The developed power measurement data transmission device issues a power supply instruction and performs a peak reduction DR when a power system crisis occurs. The developed power meter data transmission device has the advantage of allowing the user to adjust it every 1 minute, where as the existing smart metering time is fixed at once every 15 minutes.