• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.775-777
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• 2012

양돈산업에서의 인공수정(Artificial Insemination, AI) 기술은 1994년 이후 본격적으로 국내 양돈농가에 보급되어 양돈 산업 발전에 기초가 되었다. 이러한 중요성에도 불구하고 전국 AI센터의 정액 생산 및 공급체계에 관한 통합관리는 전무한 상태이며, 전국 50여개의 AI센터에서 생성된 정보는 독립된 개별시스템에 의해 관리되고 있다. 이는 전염성이 강한 질병 발생에 대한 대응방안 모색과 전국적인 돼지개량 정책 등을 종합적으로 수립할 때 통합정보관리 분석의 한계점을 가지게 한다. 이에 웹을 기반으로 전국 AI센터의 정액생산 및 공급체계 등에 관하여 통합할 수 있는 AI PigMoS 시스템을 제안하고 구현하였다. 본 논문에서 제안한 AI PigMoS 시스템은 웹을 기반으로 전국 AI센터의 정보를 통합관리 운영할 수 있다. 제안된 시스템은 웅돈, 정액생산 및 판매관리 등에 대해서 이력추적을 할 수 있도록 설계하였으며, 고객관리, 회계, 통계 및 경영관리 등에 대해서는 통합적으로 관리 운영할 수 있도록 설계하였다. 이는 전국 AI센터의 효율적인 관리운영 뿐만 아니라 통합된 AI센터 관련정보의 분석 및 미래 예측자료 등으로 활용되어 효율적인 돼지개량 체계를 구축할 것으로 기대한다.

• Korean Journal of Construction Engineering and Management
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• v.24 no.2
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• pp.88-97
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• 2023

The purpose of this study is to forecast future changes in the construction market following the reorganization of the construction production system by analyzing the possible market size in which general contractors and specialty contractors may participate in each other, and by carrying out a survey. The ratio of correlation between general construction and specialty construction industries was derived by analyzing the relevance of work area of general contractors and specialty contractors, the similarity of registration standards, and the market in which general contractors and specialty contractors may be able to mutually participate. In order to overcome the limitation of previous studies which analyze the changes in construction market based on the statistical data, and to analyze in more detail the impact of reorganization of construction production system from market participants' view, a survey targeting general contractors and specialty contractors for their willingness and method of participating in the mutual market was conducted. As a result of the survey, it was found that 52% of general contractors were willing to participate in the specialized construction market and 55.1% of specialty contractors were willing to participate in the general construction market. It was found that there was a high willingness to participate in the earthworks, reinforced concrete works, facility maintenance and management, water and sewage facility works, and interior works, and high competition is expected for projects with a scale of 500 million to less than 3 billion won. Through this study, it will be possible for general and specialty contractors to understand the changes in the construction market due to the reorganization of the construction industry production system, and to respond effectively to these changes.

• Korean Journal of Food Science and Technology
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• v.35 no.5
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• pp.928-936
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• 2003

Monte Carlo simulation was used to predict the contamination levels of Listeria monocytogenes and Yersinia enterocolitica in final pork products. Mean values of the estimated log contaminated levels of L. monocytogenes on carcasses, cut meats, and cut meats after storage were -4.59, -4.46 and -4.45 $log_{10}CFU/cm^2$ respectively. The mean values of estimated log contaminated levels of Y. enterocolitica on carcasses, cut meats, and cut meats after storage were -3.44, -4.00 and -3.97 $log_{10}CFU/cm^2$, respectively. Sensitivity analysis showed that L. monocytogenes and Y. enterocolitica in pork was most sensitive to the prevalence of L. monocytogenes and Y. enterocolitica in the equipment used.

• 전기의세계
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• v.38 no.3
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• pp.43-50
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• 1989

오늘날 각국의 전력산업계에서는 발전단가를 경제적으로 유리하도록 낮추고 전력수요에 탄력적으로 대처하며 기존 발전설비를 효율적으로 활용하기 위하여 발전설비의 성능개선 및 발전소 운전 수명 연장 계획을 추진하고 있다. 최신 기술에 의한 제어게통 성능 개선은 이러한 목적을 제한된 예산과 짧은 기간내에 효과적으로 수행할 수 있는 사업으로 고려되고 있다. 근본적으로 고장-내력 기능을 가지고 있는 마이크로프로세서를 이용한 분산 디지탈 제어기술은 대용량의 공정계통을 실시각 성능분석과 예측제어를 가능케 할 뿐만 아니라 다중 제어계통으로 계통의 신뢰도 및 이용율을 높이고 발전소 운전 및 제어를 용이하게 계층적으로 구성시킬 수 있는 최신 제어 기술이다. 이로써, 사례에 밝혀진 바와 같은 제어 설계 개선 및 설비 대체로 발전소 운영의 경제성, 안전성, 신뢰성 및 편이성의 개선 효과를 달성시키고 있음을 알았다. 특히, 선진국의 원자력 발전소의 제어계통 성능개선 사례는 경제성은 물론 안전성 확보에도 큰 기여를 하고 있음이 밝혀졌다. 우리나라도 전력 수요에 경제적으로 대처하고 보다 양질의 전기를 생산하며 기존설비를 효과적으로 이용하기 위하여 현재 추진중에 있는 화력발전소 제어계통 성능 개선을 단계적으로 추진하고 있는 것은 고무적인 계획임에 틀림이 없다 하겠다. 또한, 원자력 발전소의 경우에도 안정성을 제고시키고, 발전소의 이용율을 증대시키기 위하여 추진중인 신기술을 적용한 성능 개선 사업의 단계적 추진은 당연한 추세라 할 수 있다.

• Proceedings of the KSRS Conference
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• 2001.03a
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• pp.56-61
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• 2001

현재 산림청에서는 NGIS와 연계한 국가차원의 산림지리정보시스템(FGIS)을 구축하는 사업을 추진중이며, 행정자치부에서는 정보화촉진기본법에 따라 국가적 행정종합정보화 차원에서 제안된 2단계 소방/재난관리시스템 구축의 필요성을 제시하고 있다. 이러한 범국가적인 사업과 연계하여 각 지방자치단체 규모의 산림행정체계 규모의 산림행정체계에 적합하고, 국지적 기상조건 및 확산요인을 고려한 시스템을 개발하여 일선 실무자의 행정생산성 향상차원에서 실제 활용될 수 있는 개별시스템으로 구현해야할 필요성이 있다. 따라서, 본 연구는 각 지방자치단체의 산림담당자가 산불의 사전예방 및 홍보활동을 위한 산불 다발지역을 분석하고, 광범위한 산림지역을 효과적으로 감시하기 위한 산불감시카메라 의 위치를 산정할 수 있으며, 산불 발생시 국지적 확산요인을 고려한 실시간 산불확산 형태 를 예측할 수 있는 시스템을 설계하고자 한다. 또한 평상시 소방시설물을 관리하고 산불발 생시 신속한 진압을 위한 각종정보(예 : 최단이동거리분석)를 제공하며, 산불감지 시점으로 부터 상황종료 시까지의 종합사고보고를 위하여 위성영상과의 비교분석 등 사후관리까지의 체계를 수립하고자 한다.

• Journal of The Korean Society of Grassland and Forage Science
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• v.38 no.4
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• pp.231-242
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• 2018

This experiment was carried out to study the effects of different environmental conditions and production techniques on forage productivity of Italian ryegrass (IRG) in central and southern regions of Korea from 2016 to 2017. Average dry matter yield of 27 IRG cultivation regions was 6,940kg/ha. Forage productivity of IRG have positive correlation with cultivation techniques(p<0.01) but not correlated with cultivation environments. Forage productivity of IRG have positive correlation with seeding and field management techniques(p<0.01) but not correlated with fertilization techniques. This results suggests that practices of cultivation techniques are more important than cultivation environments for increasing the forage productivity of IRG. Therefore, yield prediction techniques of IRG in Korea have to be considered the practices of cultivation techniques along with soil and climate conditions.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.125-132
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• 2023

In this study, we compared the performance of machine learning models for predicting Vapor Pressure Deficits (VPD) in greenhouses that affect pore function and photosynthesis as well as plant growth due to nutrient absorption of plants. For VPD prediction, the correlation between the environmental elements in and outside the greenhouse and the temporal elements of the time series data was confirmed, and how the highly correlated elements affect VPD was confirmed. Before analyzing the performance of the prediction model, the amount and interval of analysis time series data (1 day, 3 days, 7 days) and interval (20 minutes, 1 hour) were checked to adjust the amount and interval of data. Finally, four machine learning prediction models (XGB Regressor, LGBM Regressor, Random Forest Regressor, etc.) were applied to compare the prediction performance by model. As a result of the prediction of the model, when data of 1 day at 20 minute intervals were used, the highest prediction performance was 0.008 for MAE and 0.011 for RMSE in LGBM. In addition, it was confirmed that the factor that most influences VPD prediction after 20 minutes was VPD (VPD_y__71) from the past 20 minutes rather than environmental factors. Using the results of this study, it is possible to increase crop productivity through VPD prediction, condensation of greenhouses, and prevention of disease occurrence. In the future, it can be used not only in predicting environmental data of greenhouses, but also in various fields such as production prediction and smart farm control models.

• Journal of Bio-Environment Control
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• v.18 no.3
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• pp.253-257
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• 2009

To analysis effect of environment factors on productivity of sweet pepper according to greenhouse covering material (glass, plastic film), this was investigated. In glasshouse, outside light was positively correlated with yield as that $100MJ{\cdot}m^{-2}$ of outside light increased $300{\sim}500g{\cdot}m^{-2}$, also cumulative temperature was same tendency. On possibility of model development for yield estimate cumulative temperature was high than outside light. According to covering material, leaf photosynthesis, productivity per out-side light and term in glasshouse was more high 13%, 46%, and 47% compared with plastic film house, respectively. Result of analysis of effect of light, temperature, and $CO_2$ on yield, relative yield coefficient, yield increment coefficient, and yield reduction coefficient in glasshouse were more high 25%, 73%, and 34% compared with plastic film house, respectively. Hence, sweet pepper's growing in glasshouse compare with plastic film house had more productivity, but that had more sensitivity to charge of environment factors.

• Convergence Security Journal
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• v.17 no.3
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• pp.95-101
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• 2017

Reliability is the priority matter in guided weapon systems. The reliability prediction data is used during the devel opment stage as the manufacturing cost is very high and the production quantity if quite limited. At the same time it takes relatively a long period of time to acquire a reliable operation data set after deployment such that in order t o determine the operational reliability, weapons must be tested and analyzed in real operating environments. For the research, the life distributions were estimated by using actual operation data and the reliability was calculated by ap plying the method of least squares and maximum likelihood estimation. Also, the comparisons were made between pr edicted reliability and actual operational reliability. As a result, the actual reliability of each system was higher than predicted reliability and it was considered that such a difference was caused by the fact that the application of the l atest designing technology and improved parts to the guided weapon systems was not reflected on the estimation of predicted reliability. It was possible to confirm the actual operational reliability of domestic (ROK) guided weapon sy stems through this research and the methods used here will contribute to the reliability analyses for the future guide d weapon systems to be developed.

• Journal of Energy Engineering
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• v.24 no.2
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• pp.1-8
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• 2015

Wax deposition hinders oil flow assurance. Huge amount of money and time were required for mitigation of wax deposition in the oil field. For prediction and mitigation of wax deposition problem, Wax Appearance Temperature(WAT), which is the temperature at which the first wax crystals start to form, needs to be measured in advance. There is a standard method which is optical way to measure the WAT of transparent oil. However, standard method cannot be applied to opaque oil which is common produced oil in the field. In this study, WAT of three transparent oil samples were measured using heat flux variation analysis, viscosity variation analysis and density variation analysis, and compared with WAT measured by standard method. As a result, WAT measured by density variation analysis is the more reliable than heat flux variation analysis and viscosity variation analysis. WAT of two opaque oils were measured using density variation analysis.