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MODIS NDVI 시계열 패턴 변화를 이용한 산림식생변화 모니터링 방법론
정명희,이상훈,장은미,홍성욱,Jung, Myung-Hee,Lee, Sang-Hoon,Chang, Eun-Mi,Hong, Sung-Wook 대한공간정보학회 2012 한국공간정보학회지 Vol.20 No.4
Normalized Difference Vegetation Index (NDVI) has been used to measure and monitor plant growth, vegetation cover, and biomass from multispectral satellite data. It is also a valuable index in forest applications, providing forest resource information. In this research, an approach for monitoring forest change using MODIS NDVI time series data is explored. NDVI difference-based approaches for a specific point in time have possible accuracy problems and are lacking in monitoring long-term forest cover change. It means that a multi-time NDVI pattern change needs to be considered. In this study, an efficient methodology to consider long-term NDVI pattern is suggested using a harmonic model. The suggested method reconstructs MODIS NDVI time series data through application of the harmonic model, which corrects missing and erroneous data. Then NDVI pattern is analyzed based on estimated values of the harmonic model. The suggested method was applied to 49 NDVI time series data from Aug. 21, 2009 to Sep. 6, 2011 and its usefulness was shown through an experiment.
'흑보석' 포도의 GA<sub>3</sub>와 Thidiazuron(TDZ) 처리에 따른 과육 연화 지연 및 과실특성
정명희,이별하나,박요섭,오진표,김희섭,박희승,Jung, MyungHee,Lee, ByulHaNa,Park, YoSup,Oh, Jin Pyo,Kim, HeeSeob,Park, Hee-Seung 한국원예학회 2015 원예과학기술지 Vol.33 No.2
This research was conducted to investigate effect the plant growth regulators (PGRs) on the characteristics of fruit and flesh softening, using GA3 and thidiazuron (TDZ) treatments in 'Heukboseok' grapes. The total yield obtained under PGR treatment was 88.3% lower than the target production when a single treatment with $GA_3$ of low concentrations was used, but the expected yield was recovered by combined treatment with TDZ and $GA_3$. When harvested on the basis of color, the harvest rate up to 100 days after full bloom (DAFB) was low with the $GA_3$ single treatment, but was increased by the addition of TDZ, with the second TDZ mixed treatment being particularly effective. The soluble solids content in the PGR-treated samples demonstrated no significant changes after 90 DAFB, while the acidity content decreased rapidly starting from 90 DAFB. Measured on the basis of sugar and acidity content, maturity was reached much earlier in treated fruit than in the non-treated fruit. Firmness was maintained at a higher level until the final harvest time after PGR treatment compared to untreated grapes according to epidermis thickness and flesh density increase to activity cell division and expansion by $GA_3$ and TDZ. In particular, the fruit quality was improved based on the delay of softening in primary and secondary treatments of $25mg{\cdot}L^{-1}\;GA_3+2.5mg{\cdot}L^{-1}$ TDZ. The production of seedless fruit was difficult, even with the inclusion of TDZ, reaching the highest seedless rate of only 65.5%. Fruit cracking was rare, occurring at a rate of about 0.0~0.9% in all treatments. Accordingly, 'Heukboseok' grapes should be harvested within 100 days after full bloom (DBFB) before a rapid decrease of firmness, conferred by primary and secondary treatments with $25mg{\cdot}L^{-1}\;GA_3+2.5mg{\cdot}L^{-1}$ TDZ.
정명희,권원현,Jung, Myunghee,Kwon, Wonhyun 한국정보통신학회 2021 한국정보통신학회논문지 Vol.25 No.12
Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.
신경망을 이용한 MODIS NDVI의 자동화 변화탐지 기법
정명희(Myunghee Jung) 大韓電子工學會 2012 전자공학회논문지CI (Computer and Information) Vol.49 No.2
지구의 중요한 천연자원인 산림을 포함한 자연 식생환경은 지난 1세기 동안 많은 변화를 겪으며 기후에도 영향을 미치게 되어 현재 지구적 차원의 관심 속에서 다양한 연구가 진행되고 있다. 원격탐사는 분광적 특성을 이용하여 식생의 특성을 탐지할 수 있어 식생자원을 모니터링하는데 매우 효율적인 수단이다. 이러한 연구에서는 보통 원격탐사 측정을 분석하여 관찰된 화소가 식생을 포함하고 있는 정도를 나타내는 식생지수가 사용되고 있는데 NDVI가 이중 가장 많이 사용되는 식생지수이다. 본 논문에서는 MODIS NDVI 시계열 자료를 이용하여 자동으로 식생의 변화를 탐지해 가는 방법론이 제안되어 있다. 변화탐지를 위해 비모수 방법의 신경망 모형이 사용되었고 특성벡터로는 한 화소에서 다중 시기의 NDVI 차이와 더불어 NDVI 시계열 자료의 시간상의 관계가 함께 고려될 수 있도록 제안되었다. 사용된 모형의 테스트를 위해 2006년부터 2011년까지 한반도 지역에 대한 MODIS MYD13Q1 자료가 사용되었다. Natural Vegetation cover, which is very important earth resource, has been significantly altered by humans in some manner. Since this has currently resulted in a significant effect on global climate, various studies on vegetation environment including forest have been performed and the results are utilized in policy decision making. Remotely sensed data can detect, identify and map vegetation cover change based on the analysis of spectral characteristics and thus are vigorously utilized for monitoring vegetation resources. Among various vegetation indices extracted from spectral reponses of remotely sensed data, NDVI is the most popular index which provides a measure of how much photosynthetically active vegetation is present in the scene. In this study, for change detection in vegetation cover, a Multi-layer Perceptron Network (MLPN) as a nonparametric approach has been designed and applied to MODIS/Aqua vegetation indices 16-day L3 global 250m SIN Grid(v005) (MYD13Q1) data. The feature vector for change detection is constructed with the direct NDVI diffenrence at a pixel as well as the differences in some subset of NDVI series data. The research covered 5 years (2006-20110) over Korean peninsular.
눈꽃과 번데기 동충하초 첨가가 식빵의 품질특성에 미치는 영향
정명희(Myung-Hee Jung),박금순(Geum-Soon Park) 한국식품영양과학회 2002 한국식품영양과학회지 Vol.31 No.5
식빵에 단백질을 보강할 목적으로 눈꽃 동충하초와 번데기 동충하초의 분말을 첨가하여 제조한 식빵의 관능적 특성을 측정한 결과는 대조군과 눈꽃 동충하초 첨가군에서 구수한 맛, 입안에서의 감촉, 향의 기호도가 높게 평가되었다. 수분함량은 대조군에 비해 J2군이 가장 높았으며 M4군이 가장 낮았다. 부피는 대조군에 비해 눈꽃 동충하초 첨가군은 커졌고 번데기 동충하초 첨가군은 감소하였으며, 동충하초 첨가량이 증가될수록 감소하였다. 색도에서 명도 값(L)은 대조군을 기준으로 동충하초 첨가군이 모두 낮았으며 특히 M4군이 유의적으로 낮았다. 적색도 값(a)은 대조군을 기준으로 번데기 동충하초의 첨가량이 많을수록 양의 값을 가졌으며 눈꽃 동충하초의 첨가량이 많을수록 음의 값을 나타내 상반된 결과를 가져왔다. 황색도 값(b)은 대조군과 눈꽃 동충하초 첨가군에 비해 M4군이 유의적으로 높았다. 경도(Hardness)는 M4군이 가장 높았으며(p<0.001), 탄력성은 대조군에 비해 눈꽃과 번데기 동충하초 첨가 식빵의 유의적인 차이가 없었다. 관능과 기계적 검사의 상관관계에서, 명도는 관능항목의 색, 경도와 부의 상관관계(p<0.001), 적색도와 황색도, 경도는 관능항목의 색, 묵은 곡식가루 냄새, 경도를 제외한 모든 항목에서 부의 상관관계(p<0.001)를 보였다. 또한 기계적 검사의 응집성과 탄력성은 관능 항목의 색과 묵은 곡식가루 냄새, 경도와 부의 상관관계를 나타냈다. 이상의 결과 눈꽃 동충하초의 경우 2% 첨가군이 대조군과 유사한 경향을 나타냈으며 특히 기호도, 수분 함량과 부피에서 좋은 특성을 가졌다. 동충하초의 첨가량은 눈꽃 동충하초의 경우 4%까지도 무방하며, 번데기 동충하초의 경우 2%가 적절하였다. Paecilomyces japonica and Cordyceps militaris were added to the materials for DongChungHaCho bread, and sensory and mechanical test were performed. Both control and 2% DongChungHaCho added group were acceptable in taste, mouthfeel and odor. Paecilomyces japonica added groups showed higher moisture and volume than control, and Cordyceps militaris groups showed lower moisture and volume. DongChungHaCho added groups showed lower lightness than control. 2% Paecilomyces japonica added group showed similar tendency to control, and it showed the best estimate especially in acceptance, moisture and volume. The optimal addition ratios of DongChungHaCho were evaluated by concentrations of 2% to 4% Paecilomyces japonica and of 2% Cordyceps militaris.
실용주의 사상에서 본 이명박 정부의 ‘능동적 복지’평가
정명희 ( Jung Myoung Hee ) 이화여자대학교 사회복지연구소 2018 사회복지 실천과 연구 Vol.15 No.1
With focusing on 'active welfare' which was the one of five government goals under the Lee Myung-bak Administration based on pragmatism that was the policy and philosophy to govern the nation, this study has been done to review how pragmatism was reflected on the management of the government. The Lee Myung-bak Administration's policy expressing pragmatic direction was able to summarized into three major points. First, the Lee Government oriented 'active welfare' showed 'passive' or even 'nominal' welfare budget policy regarding welfare budget allocation. Second, I evaluated that 'active welfare' which was the one of five government goals under the 'creative pragmatism' paradigm was no substance clear. Third, the Lee Government had made efforts to pursue 'pro-worker' and central pragmatic policies to regain losing public trust and to break away from its image of 'pro-business' that the government took the position to respond global economic crisis. However I also evaluated that this efforts were skeptical as well as failed to gain tangible results.
피라미드 구조와 베이지안 접근법을 이용한 Markove Random Field의 효율적 모델링
정명희 ( Myung Hee Jung ),홍의석 ( Eui Seok Hong ) 대한원격탐사학회 1999 대한원격탐사학회지 Vol.15 No.2
Remote sensing technique has offered better understanding of our environment for the decades by providing useful level of information on the landcover. In many applications using the remotely sensed data, digital image processing methodology has been usefully employed to characterize the features in the data and develop the models. Random field models, especially Markov Random Field (MRF) models exploiting spatial relationships, are successfully utilized in many problems such as texture modeling, region labeling and so on. Usually, remotely sensed imagery are very large in nature and the data increase greatly in the problem requiring temporal data over time period. The time required to process increasing larger images is not linear. In this study, the methodology to reduce the computational cost is investigated in the utilization of the Markov Random Field. For this, multiresolution framework is explored which provides convenient and efficient structures for the transition between the local and global features. The computational requirements for parameter estimation of the MRF model also become excessive as image size increases. A Bayesian approach is investigated as an alternative estimation method to reduce the computational burden in estimation of the parameters of large images.