• Journal of Animal Environmental Science
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• v.14 no.2
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• pp.81-90
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• 2008

This study was carried out to investigate the effects of the organic feed on weight gain, feed conversion rate, and carcass characteristics of Hanwoo steers. Three feeding treatments(T1 : rice straw and commercial concentrates, T2 : organic hay and concentrates, T3 : organic corn silage and concentrates) for 22 months (from 6 to 28 months) were used. As a result, weight gain was not significantly different among treatments throughout this study. Also T1 tended to improve weight gain and daily weight gain without significance. The percentage of meat quality grade over the first grads ($1,\;1^+,\;1^{++}$) were 50% in the carcass of Hanwoo steers fed T1 and T2, and 70% fed T3, respectively. T2 and T3 tended to improve marbling score and oleic acid content.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.2
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• pp.165-171
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• 2016

In this study, the characterization of projects and analysis of R&D products and commercialization performances were done to serve some implications on the policy decisions related to the commercialization of R&D in marine and fisheries sector. A total of 212 R&D projects with 144 ones for marine and 68 for fisheries performed for 5 years, from 2010 to 2014, were sorted and analyzed on the respect of government budget, main performing body, and research period. The R&D result and commercialization performance were substituted to quantitative indicators, such as the number of published papers, the number of patents, the amount of the technology royalty, the number of technology transfers, and the improvement of public service, which were subjects to be analysed. Based on the results, this study suggests the policy implications for the success of national R&D program; 1) diversifying the main performing body, 2) operating the system for sharing research infrastructures among researchers, 3) introducing the adaptable R&D program management, 4) expending the portion of grants without detailed requests for proposal, and 5) leaning the investigation of R&D budgets on projects focusing on the practicalization and commercialization.

• Journal of Animal Environmental Science
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• v.21 no.3
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• pp.83-92
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• 2015

An attempt to produce more pigs in limited spaces inevitably generalized concentrated feeding operation (CFO). As concentrated pig production practice expanded, concerns on environmental issues grow concurrently. Since odor is the concerned most among those, we attempted to develop means to tackle odor emission from livestock operations. Previously, we excavated few microorganisms from pig manure and, one of them, Bacillus licheniformis was particularly useful to handle odor problem. In this study, we conducted our investigation to further characterize Bacillus licheniformis. Strain identification was conducted using Vitek 2 compact, and the optimal temperature and pH conditions to growth B. licheniformis were searched for by analyzing turbidity on O.D 600 nm. Results of this study can be summarized as these, (1) it was re-verified that the bacterial strain that purified from pig manure was, in fact, Bacillus licheniformis, (2) the bacterial growth was highest when the temperature was kept at $30^{\circ}C$, also (3) growth rate was dependent on media pH as it was high at neutral (6, 7 and 8) but dropped when it was diverged from neutral (4, 5, 9 and 10), and (4) regarding ammonia removal efficiency, B. licheniformis recorded 64% effectiveness after 48 h incubation and reached its highest (80%) at 72 h.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.331-345
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• 2021

Virtual testing is considered a major requirement for the safety verification of autonomous driving functions. For virtual testing, both the autonomous vehicle and the driving environment should be modeled appropriately. In particular, a realistic modeling of the perception sensor system such as the one having a camera and radar is important. However, research on modeling to consistently generate realistic perception results is lacking. Therefore, this paper presents a sensor modeling method to provide realistic object detection results in a MILS (Model in the Loop Simulation) environment. First, the key parameters for modeling are defined, and the object detection characteristics of actual cameras and radar sensors are analyzed. Then, the detection characteristics of a sensor modeled in a simulation environment, based on the analysis results, are validated through a correlation coefficient analysis that considers an actual sensor.

• Economic and Environmental Geology
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• v.45 no.3
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• pp.347-350
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• 2012

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.443-449
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• 2009

최근 USN과 소형 임베디드 장치에 IP 스택을 구현한 결과들이 활발히 소개되고 있으며 Non-IP 기반의 USN이나 임베디드 장치와는 차별화된 요소에 대한 논의도 함께 진행되고 있다. 집중화 되어 있던 자원이 IP기반 기술을 통해 컴퓨팅 환경, 서비스 환경이 분산되어 가고 있듯이 제한된 자원을 갖는 센서 노드에 IP가 부여 되었을 때 호스트 중심의 형태와는 다른 형태의 구성이 가능하게 되고 이를 통한 새로운 서비스 패러다임으로의 전환을 기대하고 있다. 이에 본 논문은 IP가 부여된 센서노드, 소형 임베디드 장치로 구성 가능한 서비스 구조를 제안하고자 한다.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.252-252
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• 2017

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2004.11a
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• pp.22-23
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• 2004

• Journal of Environmental Science International
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• v.23 no.3
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• pp.493-502
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• 2014

EnergyPlus is a whole building energy simulation program that engineers, architects, and researchers use to model energy and water use in buildings. Modeling the performance of a building with EnergyPlus enables building professionals to optimize the building design to use less energy and water. This program provides energy analysis of building and needs weather data for simulation. Weather data is available for over 2,000 locations in a file format that can be read by EnergyPlus. However, only five locations are avaliable in Korea. This study intends to use AWS data for having high spatial resolution to simulate building energy. The result of this study shows the possibility of using AWS data for energy simulation of building.

• Journal of Environmental Science International
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• v.23 no.6
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• pp.1085-1093
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• 2014

We investigate the amount of potential electricity energy generated by wind power in Busan metropolitan area, using the mesoscale meteorological model WRF (Weather Research & Forecasting), combined with small wind power generators. The WRF modeling has successfully simulated meteorological characteristics over the urban areas, and showed statistical significant to predict the amount of wind energy generation. The highest amount of wind power energy has been predicted at the coastal area, followed by at riverbank and upland, depending on predicted spatial distributions of wind speed. The electricity energy prediction method in this study is expected to be used for plans of wind farm constructions or the power supplies.