무인비행기 (UAV) 영상을 이용한 농작물 분류

박진기,박종화,Park, Jin Ki,Park, Jong Hwa 한국농공학회 2015 한국농공학회논문집 Vol.57 No.6

The Unmanned Aerial Vehicles (UAVs) have several advantages over conventional RS techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude i.e. 80~400 m, they can obtain good quality images even in cloudy weather. Therefore, they are ideal for acquiring spatial data in cases of small agricultural field with mixed crop, abundant in South Korea. This paper discuss the use of low cost UAV based remote sensing for classifying crops. The study area, Gochang is produced by several crops such as red pepper, radish, Chinese cabbage, rubus coreanus, welsh onion, bean in South Korea. This study acquired images using fixed wing UAV on September 23, 2014. An object-based technique is used for classification of crops. The results showed that scale 250, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5 were the optimum parameter values in image segmentation. As a result, the kappa coefficient was 0.82 and the overall accuracy of classification was 85.0 %. The result of the present study validate our attempts for crop classification using high resolution UAV image as well as established the possibility of using such remote sensing techniques widely to resolve the difficulty of remote sensing data acquisition in agricultural sector.

High-dose lipopolysaccharide induced autophagic cell death in bovine mammary alveolar cells

박진기,여준모,조광현,박현정,이원영 사단법인 한국동물생명공학회 2022 Journal of Animal Reproduction and Biotechnology Vol.37 No.3

Bovine mammary epithelial (MAC-T) cells are commonly used to study mammary gland development and mastitis. Lipopolysaccharide is a major bacterial cell membrane component that can induce inflammation. Autophagy is an important regulatory mechanism participating in the elimination of invading pathogens. In this study, we evaluated the mechanism underlying bacterial mastitis and mammary cell death following lipopolysaccharide treatment. After 24 h of 50 μg/mL lipopolysaccharide treatment, a significant decrease in the proliferation rate of MAC-T cells was observed. However, no changes were observed upon treatment of MAC-T cells with 10 μg/mL of lipopolysaccharide for up to 48 h. Thus, upon lipopolysaccharide treatment, MAC-T cells exhibit dose-dependent effects of growth inhibition at 10 μg/mL and death at 50 μg/mL. Treatment of MAC-T cells with 50 μg/mL lipopolysaccharide also induced the expression of autophagy-related genes ATG3, ATG5, ATG10, ATG12, MAP1LC3B, GABARAP-L2, and BECN1. The autophagy-related LC3A/B protein was also expressed in a dose-dependent manner upon lipopolysaccharide treatment. Based on these results, we suggest that a high dose of bacterial infection induces mammary epithelial cell death related to autophagy signals.

학술발표회 : 번식 ( 포스터발표 ) ; Altrenogest 투여가 미경산돈의 발정동기화 및 다배란에 미치는 영향

박진기,김도형,장원경,이훈택,정길생 한국동물자원과학회 ( 구 한국축산학회 ) 1995 한국축산학회 심포지움자료집 Vol.- No.-

데이터 마이닝 기법을 활용한 스포츠센터 고객 이탈 가능성 예측 모형 개발

박진기,김장환 한국스포츠리서치 2003 한국 스포츠 리서치 Vol.14 No.4

The purpose of this study was to serve as a basis for more successful management of defector customers by fitness club through data mining, by seeking defection-based customer segment for fitness club monthly members and forecasting the probabilities of defection. SPSS Clementine's C5.0 decision-making tree analysis, a data mining tool, was utilized to explore defection-based customer segment by fitness club and examine the defection probabilities. Collectively, the above-mentioned findings suggested that age, job, usage type and consumer complaint behavior were the important segmentation variables that affected the defection of the members of a fitness club, and that the rate of prediction based on these variables were very high. In particular, data partition appeared to be remarkably reliable and valid in analyzing and predicting the membership defection. And C5.0 was found to be more effective than Neural Networks, logistic regression analysis or CART in the final stage of developing the fitness club membership defection prediction. Particularly, suggested models of fitness club membership defection prediction, which was drawn up through segmenting the customers according to the classification rules of the decision tree, are Models (1), (2). The fitness club membership defection models developed by C 5.0, a data mining tool, would empower fitness club management or decision makers to prevent membership defection and to manage customers more efficiently. Applying these prediction models to customer management and business strategy, fitness club management or decision makers will be able to maximize the effects of customer-relations marketing. Customer segmentation using the existing customer information would make it possible to figure out the characteristics of those who discontinue their membership. Finally, data mining is necessary in orienting the marketing strategies and activities in the sports consumer market so that they satisfy the actual needs of the market. In this connection, it is confirmed that data mining could be introduced to this market as part of the customer retention marketing efforts.

상토 및 트레이 종류에 따른 종실용 들깨의 육묘 특성

박진기,한원영,한길수,류종수,원옥재,정태욱,윤영호,배진우 한국작물학회 2020 한국작물학회지 Vol.65 No.1

The purpose of this study was to analyze the growth characteristics of perilla according to the materials of the seedbed for the development of seedling plug technology suitable for the mechanical transplantation of perilla. Perilla (Perilla frutescens var. japonica Hara) cultivars Deulsaem and Sodam were used in this experiment. The composition ratios of 170 products from 16 companies published in the ‘Korean Association of Seedbed Media’ homepage were compared according to usage and type, and 11 products that corresponded to the average were selected. The seedbed was classified according to the seedbed for paddy rice as light-weight, semi-weight, and weight, and based on the seedbed for horticulture, as light-weight and ultra-light. The seedlings were placed in 72-cell (semi-automatic), 128-cell (automatic) and 220-cell (automatic) plug trays. We selected 2 light-weight seedbeds of paddy rice and 2 light-weight seedbeds of horticultural products with the highest plant growth. We analyzed plant height and mat formation of the perilla roots. Results showed that the perilla height and mat formation were the best in light-weight seedbeds of paddy rice (product R1). Therefore, light-weight seedbeds of rice (product R1) were suitable for perilla plant transplantation. The estimated major components were vermiculite 41.0%, cocopeat 31.0%, peat moss 5.7%, and red-yellow soil 20.0%. The mechanical transplantation of perilla significantly boosts plant growth and reduces sowing and thinning efforts. However, continuous evaluation of newly introduced, commercial seedbeds is needed. 본 연구는 기존 채소 정식기를 활용하여 기계화율이 낮은종실용 들깨를 대상으로 육묘 기계정식 재배 시 적합한 상토, 트레이, 육묘일수를 설정하고자 2017년부터 2018년까지2년간 수행하였으며, 주요 결과를 요약하면 다음과 같다. 1. 들깨의 지상부 생육은 수도용 경량인 R1 상토가 가장 좋았으며, 주요 성분비는 질석(Vermiculite) 41.0%, 코코피트(Cocopeat) 31.0%, 황토(Red-yellow soil) 20.0%, 피트모스(Peatmoss) 5.7% 등을 포함하고 있다. 2. 묘를 직접 뽑아서 공급하는 반자동 정식기를 사용할 경우 128~220공 트레이와 수도용 경량 상토에서 23일 육묘가 적정한 것으로 판단된다. 3. 128공 전용트레이를 사용하는 꽂아내기식 정식기는 매트형성과 초장을 고려하면 수도용 경량 상토에서 23일정도 육묘가 적정한 것으로 나타났다. 4. 220공 전용트레이를 사용하는 밀어내기식 정식기는 줄기를 잡고 정식하기 때문에 초장이 15 cm 이상 되어야 가능하다. 220공에서 15 cm 이상으로 육묘하는 것이 어려워 기계정식에는 부적정한 것으로 판단된다.

지역스포츠이벤트 참가자의 감정반응, 이벤트 태도 및 참여만족의 구조적 관계 :경주벚꽃마라톤대회를 중심으로

박진기,박상윤 한국사회체육학회 2018 한국사회체육학회지 Vol.0 No.71

The purpose of this study is to investigate the structural reltaionships among emotional responses, even t attitude and participation satisfaction for local sport event aprticipants. This empirical study analysis was pe-r formed on data from 159 participants of ‘2017 Gyeongju Cherry Marathon’. For the empirical study, frequency analysis and correlation analysis were done by using SPSS21.0.I n addition, confirmatory factor analysis and structural equation modeling were done by using AMOS21.0. The ersults are as follows: First, positive emotional response had a positive effect on event attitude and participation satisfaction. Second, negative emotional response had a negative effect on event attitude and participaiotn satisfaction. Third, event attitude had a si-g nificant effect on participation satisfaction.

무인항공기와 GIS를 이용한 논 가뭄 발생지역 분석

박진기,박종화,Park, Jin Ki,Park, Jong Hwa 한국농공학회 2017 한국농공학회논문집 Vol.59 No.3

The main goal of this paper is to assess application of UAV (Unmanned Aerial Vehicle) remote sensing and GIS based images in detection and measuring of rice field drought area in South Korea. Drought is recurring feature of the climatic events, which often hit South Korea, bringing significant water shortages, local economic losses and adverse social consequences. This paper describes the assesment of the near-realtime drought damage monitoring and reporting system for the agricultural drought region. The system is being developed using drought-related vegetation characteristics, which are derived from UAV remote sensing data. The study area is $3.07km^2$ of Wonbuk-myeon, Taean-gun, Chungnam in South Korea. UAV images were acquired three times from July 4 to October 29, 2015. Three images of the same test site have been analysed by object-based image classification technique. Drought damaged paddy rices reached $754,362m^2$, which is 47.1 %. The NongHyeop Agricultural Damage Insurance accepted agricultural land of 4.6 % ($34,932m^2$). For paddy rices by UAV investigation, the drought monitoring and crop productivity was effective in improving drought assessment method.

Terra MODIS 위성영상과의 비교를 통한 COMS GOCI 위성영상의 식생지수 적용성 평가

박진기,김봉섭,오시영,박종화,Park, Jin Ki,Kim, Bong Seop,Oh, Si Young,Park, Jong Hwa 한국농공학회 2013 한국농공학회논문집 Vol.55 No.6

The objective of this study is to evaluate the applicability of Communication, Ocean, and Meteorological Satellite (COMS) Geostationary Ocean Color Imager (GOCI) vegetation indices on a quantitative analysis. For evaluation, the vegetation indices such as RVI, NDVI and SAVI were extracted by using COMS GOCI and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) imageries. The 4,000 points using simple random sampling (SRS) method were randomly extracted from land areas except ocean to compare the vegetation indices from two images. The results of linear regression showed that the regression coefficients of RVI, NDVI, and SAVI between COMS GOCI and Terra MODIS were 0.66~0.82, 0.71~0.83, and 0.71~0.83, respectively. Especially, the regression coefficients of RVI (r=0.85), NDVI (r=0.91) and SAVI (r=0.91) were strongly related from September 2011 to January 2012. Thus, COMS GOCI can be substituted for particular periods and it needs to verify additionally.

소변으로 EPO를 분버하는 형질전환 돼지생산

박진기,이연근,민관식,임기순,성환후,양병철,이창현,이향흔,김진회,장원경,김경남 한국동물생명공학회(구 한국동물번식학회) 2001 Reproductive & developmental biology Vol.25 No.1

자료 분할법에 의한 스포츠센터 고객이탈가능 예측성 평가

박진기 한국사회체육학회 2003 한국사회체육학회지 Vol.19 No.2