• 대한치과기공학회지
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• 제42권1호
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• pp.45-53
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• 2020

Purpose: The purpose of this study was to investigate the current status and satisfaction of dental CAD/CAM system. Methods: A survey of dental technicians was conducted and a total of 353 responses were used for analysis. The satisfaction difference according to career was analyzed by ANOVA and tukey HSD (α = .05). Results: Satisfaction with the design program was 3.64 ± .86, the highest among all items. On the other hand, the satisfaction with price was 2.75 ± 1.02, which was the lowest. The difference according to career was statistically significant in the following items. Frequent breakdown, single crown margin, bridge crown margin, retentivity, price, A/S, equipment training (p<.05). Conclusion: As the materials applied to dental CAD/CAM are expanding and the types of prostheses are diversified, the use rate of CAD/CAM is continuously increasing. The dental CAD/CAM system will need to be improved in a way that will satisfy all patients, dentists and dental technicians.

• 한국산학기술학회논문지
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• 제20권2호
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• pp.378-384
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• 2019

식품 폐수 처리 설비중 폐수처리장 폭기조 송풍 설비 개선을 통한 수질개선 효과 및 전기사용량 변화에 따른 온실가스 발생량을 평가 하였으며, 식품 폐수처리장에서 발생되는 슬러지를 탈수, 보관, 이송하는 설비의 효율적인 개선을 통한 전기사용량 개선전과 개선후 변화에 따른 온실가스 발생량도 함께 평가하였다. 폐수처리장 설비 개선에 따른 온실가스 배출량 평가는 폐수처리 공정으로 부터의 직접배출과 전력사용으로부터의 간접배출량으로 구분 된다. 폐수처리장 수질 개선 효과는 BOD 제거율이 63.3%, COD 제거율 42.0%, SS 제거율 71.0%, T-N제거율이 39.6%로 나타났으며, 폐수처리에 의한 온실가스 직접배출량(Scope 1)과 전력소비량 변화에 대한 온실가스 간접배출량(Scope 2)을 적용하여 온실가스 배출량을 산정한 결과 설비 개선전 3,668.8tCO2eq./yr 에서 설비 개선후 3,392.8tCO2eq./yr 으로 감소 하여 총 276.0tCO2eq./yr (8.0%)의 온실가스 감축 효과가 있는 것으로 평가 되었다. 이상의 결과는 배출원의 수질 개선 효과로 인한 것이 아니라 전기사용량 감소로 인해 온실가스 배출량이 감소하였기 때문이다.

• 토지주택연구
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• 제3권3호
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• pp.249-261
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• 2012

건물운용단계의 에너지사용량은 우리나라 전체에너지 사용량의 약 25%이다. 지금까지 건물의 에너지사용량을 줄이기 위해서는 주로 설계단계에서 단열을 강화하고 고효율 기기를 사용해왔다. 이러한 노력들은 에너지절약 측면에서 그 한계가 있으며, 사용단계에서의 에너지절약생활이 큰 비중을 차지함에 따라 입주자들의 자발적인 참여로 인한 에너지절약 방법이 보다 효과적이라 할 수 있다. 이를 위해 본 연구에서는 에너지사용자에게 보다 적극적으로 에너지절약 프로그램에 동참시키기 위해 본인들이 사용한 에너지실적 정보를 웹상에서 서로 공유할 수 있는 프로그램을 개발하였다. 또한 프로그램의 필요성 및 사용의지를 조사하고 시범 적용하여 유효데이터의 수집가능성과 프로그램의 사용 용이성에 대하여 평가하였다.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1511-1518
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• 2017

Renewable energy hybrid systems look into the process of choosing the finest arrangement of components and their sizing with suitable operation approach to deliver effective, consistent and cost effective energy source. This paper presents hybrid renewable energy system (HRES) solar photovoltaic, downdraft biomass gasifier, and fuel cell based generation system. HRES electrical power to supply the electrical load demand of academic research building sited in $23^{\circ}12^{\prime}N$ latitude and $77^{\circ}24^{\prime}E$ longitude, India. Fuzzy logic programming discover the most effective capital and replacement value on components of HRES. The cause regarding fuzzy logic rule usage on HOMER pro (Hybrid optimization model for multiple energy resources) software program finds the optimum performance of HRES. HRES is designed as well as simulated to average energy demand 56.52 kWh/day with a peak energy demand 4.4 kW. The results shows the fuel cell and battery bank are the most significant modules of the HRES to meet load demand at late night and early morning hours. The total power generation of HRES is 23,794 kWh/year to the supply of the load demand is 20,631 kWh/year with 0% capacity shortage.

• 한국인터넷방송통신학회논문지
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• 제17권2호
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• pp.199-204
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• 2017

본 연구는 가정 내에서 사용하는 가전 기기의 사용 에너지를 효율적으로 관리하기 위한 비접촉 가전 기기 식별 기법을 제시한다. 제안하는 기법은 총 전력 사용량 정보를 이용한 기존의 가전 기기 식별 기법을 개선하기 위해서 복합 센서 정보를 종합적으로 활용한다. 이를 위해서 기기 상태와 측정된 센서 값 간의 영향도를 그래프 형태로 정의한다. 기기 상태에 영향을 미치는 복합 센서를 표현하는 영향도 그래프를 통해 기기 식별 예측 결과를 계산하기 위해 총 전력 사용량 기반 예측값과 센서 데이터 처리 알고리즘 예측값의 가중치 합을 사용한다. 시뮬레이션 실험을 통한 성능 분석으로 기존 비접촉 가전 기기 식별 기법의 기기 식별 정확도와 비교한다.

• 대한임베디드공학회논문지
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• 제10권6호
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• pp.391-397
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• 2015

Nonvolatile memories in memory hierarchy have been investigated to reduce its energy consumption because nonvolatile memories consume zero leakage power in memory cells. One of the difficulties is, however, that the endurance of most nonvolatile memory technologies is much shorter than the conventional SRAM and DRAM technology. This has limited its usage to only the low levels of a memory hierarchy, e.g., disks, that is far from the CPU. In this paper, we study the use of a new type of nonvolatile memories - the Phase Change Memory (PCM) with a DRAM buffer system as the main memory. Our design reduced the total energy of a DRAM main memory of the same capacity by 80%. These results indicate that it is feasible to use PCM technology in place of DRAM in the main memory for better energy efficiency.

• 한국관개배수논문집
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• 제17권2호
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• pp.82-94
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• 2010

Recently, biomass application for energy is getting more interests from many countries since biomass is widely available over the nation wide, whereas fossil fuels are produced in several limited regions. Recognizing the importance, government is promoting renewable energy use in Korea. The locational characteristics of the existing biomass potential directly can be used to decide scale of power plant for local agricultural facility. Although there are a few studies on feasible biomass potential in local areas, it is expected that both government and commercial sectors recognize the potential of biomass energy and the importance of reducing greenhouse gases. When planning biomass energy systems, biomass price is determined by the costs of collection, transportation, chipping, drying if required. In this paper investigates the economic and spatial characteristic of biomass location by land use map. However typical area of each categories in local region is not correct to agricultural census data. Therefore we concerned about how to calculate feasible biomass potential which it can be describing total amount of plant scale, and to match both of data. Even though its spatial distribution, in rural area in Korea, to expand biomass energy programs in the area, government serve to find areas of higher biomass production with suitable locations for plants to convert to bio-energy in order to increase the usage of renewable energy.

• 한국대기환경학회지
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• 제26권3호
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• pp.276-285
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• 2010

Recently the Korean government has tried to cut down the $PM_{10}$ concentration by the Special Law for Air Quality Improvement. But the concentrations of $PM_{10}$ have exceeded the air quality standard at most monitoring stations. Primary $PM_{10}$ emitted from various sources and emission data have large uncertainty. The biomass burning is one of the major sources of $PM_{10}$ emission. The biomass burning is composed of wood stove usage, meat cooking and agricultural combustion etc.. Activity data and emission factors for the biomass burning are limited, and it is hard to calculate the air pollution emissions from these sources. In this study, we tried to estimate the air pollution emission from residential wood stove usage. The number of total wood stoves is estimated by the survey of wood stove manufacturer. And air pollution emission factors for the wood stove are investigated using the flue gas measurement by U.S. EPA particulate test method (Method 5G). As the results, the $PM_{10}$ and CO emission factors of wood stove are estimated as 7.7 g/kg-wood and 78.8 g/kg-wood respectively. The annual $PM_{10}$ and CO emissions from wood stove are calculated as 1,200~3,600 ton/year and 12,600~36,400 ton/year in Korea. It is confirmed that wood stove is the one of major sources of biomass burning, and the survey for activity data and the measurement for emission factors are needed for reducing the uncertainty of these emission data.

• 설비공학논문집
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• 제28권12호
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• pp.467-476
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• 2016

As the energy saving issues become one of the important global agenda, the building simulation method is generally used to predict the inside energy usage to establish the power-saving strategies. To foretell an accurate energy usage of a building, proper and typical weather data are needed. For this reason, typical weather data are fundamental in building energy simulations and among the meteorological factors, the solar irradiation is the most important element. Therefore, preparing solar irradiation is a basic factor. However, there are few places where the horizontal solar radiation in domestic weather stations can be measured, so the prediction of the solar radiation is needed to arrive at typical weather data. In this paper, four solar radiation prediction models were analyzed in terms of their applicability for domestic weather conditions. A total of 12 regions were analyzed to compare the differences of solar irradiation between measurements and the prediction results. The applicability of the solar irradiation prediction model for a certain region was determined by the comparisons. The results were that the Zhang and Huang model showed the highest accuracy (Rad 0.87~0.80) in most of the analyzed regions. The Kasten model which utilizes a simple regression equation exhibited the second-highest accuracy. The Angstrom-Prescott model is easily used, also by employing a plain regression equation Lastly, the Winslow model which is known for predicting global horizontal solar irradiation at any climate regions uses a daily integration equation and showed a low accuracy regarding the domestic climate conditions in Korea.

• 신재생에너지
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• 제17권1호
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• pp.50-60
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• 2021

This study investigated the reference case in the UK where legality and sustainability were systematically established for forest biomass represented by wood pellets. The UK is the country that best utilizes the trade value of wood pellets based on sustainability, with bioenergy accounting for 31% of total renewable energy production. The UK imported wood pellet, estimated 8,697 thousand tons in 2019. The UK government has continuously improved the renewable generation policy system to ensure the sustainability of wood pellets. The weighted average greenhouse gas emissions of a UK biomass power plant that received a Renewable Obligation Certificate (ROC) in 2018-19 was 26.71 gCO2e/MJ. These power plants are expected to meet the upper limit of 72.2 gCO2e/MJ by 2025. To issue an ROC, the biomass power plant must demonstrate that 70% of its total biofuel usage is sustainable. The UK uses the Sustainable Biomass Program (SBP) certification system, which is gradually expanding to other European countries, to prove the sustainability of biomass energy fuels. Global wood pellet production with SBP certification in 2019 was 10.5 Mt. This trend has significant implications for introducing additional sustainability into the wood pellet policy of South Korea.