• 경영정보학연구
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• 제13권1호
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• pp.115-141
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• 2011

전 세계적으로 환경 친화적이고 지속가능한 경제에 대한 관심이 높아지면서 기업 경영에 있어서 녹색경영이 중요한 전략으로 급부상하고 있다. 국내에서도 정부의 녹색성장 비전 발표 이후 최근 몇 년간 녹색정보화에 대한 정책이 수립되고 기업들도 다양한 사업 계획을 발표했으나 소기의 성과를 얻지 못하고 있는 실정이다. 이는 현재 수준에 대한 정확한 진단 없이 이상적인 비전만을 제시하는 선언적 정책 및 사업 계획이 주로 진행됨에 따른 한계라고 볼 수 있다. 이에 본 연구는 국내 기업의 정보화 수준과 환경 규제 상황을 고려한 녹색정보화 성숙도 진단 모텔을 개발하고, 이를 산업별로 대표성 있는 국내 기업에 시범 적용함으로써 국내 기업의 녹색정보화 현재 수준을 진단하고 이를 바탕으로 개선방안을 모색하고자 하였다.

• 산업기술연구
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• 제33권A호
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• pp.15-21
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• 2013

World governments and industries have put tremendous efforts for reduction of greenhouse gases. Specifically, IT (information technology) or ICT (information communication technology) is seen to play a pivotal role in green IT since it is deeply penetrated and related to all the industrial and business processes. The objective of this research is to enhance green maturity of a Gangwon province. We first discussed recent trends of green IT approaches/directions and prevailing green readiness indecies. Based on the environmental and industrial characteristics of Gangwon province. a future plan drawn has been examined with regard to a green IT maturity model.

• 농업과학연구
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• 제49권1호
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• pp.129-136
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• 2022

In this study, we aimed to develop a maturity classification model for tomatoes using hyperspectral imaging in the range of 400 - 1,000 nm. Fifty-seven tomatoes harvested in August and November of 2021 were used as the sample set, and hyperspectral data was extracted from the surfaces of these tomatoes. A combined method of SNV (standard normal variate) and SG (Savitzky-Golay) methods was used for the pre-processing of the hyperspectral data. In addition, the hyperspectral data were analyzed for all maturity stages and considering bandwidths with different FWHM (full width at half maximum) values of 2, 25, and 50 nm. The PCA (principal component analysis) method was used to analyze the principal components related to maturity stages for the tomatoes. As a result, 500 - 550 nm and 650 - 700 nm bands were found to be related to the maturity stages of tomatoes. In addition, PC1 and PC2 explained approximately 97% of the variance at all FWHM conditions and thus were used as input data for classification model training based on the SVM (support vector machine). The SVM models were able to classify tomato maturity into five stages (Green, Turning, Pink, Light red, and Red) with over 95% accuracy regardless of the FWHM condition. Therefore, it was considered that hyperspectral data with 50 nm FWHM and SVM is feasible for use in the classification of tomato maturity into five stages.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 추계학술대회 초록집
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• pp.152.1-152.1
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• 2011

This study analyzes transitions to a green path in transportation system in South Korea. We develop transportation system model with four new technology options, green cars; Hybrid electric vehicle, plug-in hybrid vehicle, electric vehicle and fuel cell vehicle. Among those technologies fuel cell vehicle is the best option assuming no GHG emissions when driving. We use MESSAGE model to get an optimal solution of pathway for high deployment of fuel cell vehicles under the Korea BAU transportation model. Among hydrogen production sources, off gas hydrogen is most economic since it is hardly used to other chemical sources or emits in South Korea. According to off gas hydrogen projection it can run 1.8 million fuel cell vehicles in 2040 which corresponds to 10% of all passenger cars expected in Korea in 2040. However, there are concerns associated with technology maturity, cost uncertainty which has contradictions. But clean pathway with off gas and renewable sources may provide a strong driving force for energy transition in transportation in South Korea.

• 정보교육학회논문지
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• 제14권2호
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• pp.273-283
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• 2010

복잡계 관점에서 트래픽 패턴, 도시 및 다세포 생물학적 유기체 등이 하나의 창발적인 현상인 것처럼, '그린 IT'의 개념 또한 지구 온난화 문제로 인해 인간 세계에서 태동할 수밖에 없는 불가피한 창발적인 현상이다. 복잡계 이론의 관점에서 그린 IT는 무작위한 것으로부터 대단히 복잡한 방식으로 상호작용을 하는 상당히 뒤얽힌 시스템으로 발전할 가능성이 높다. 그렇지만, 그린 IT 시스템 또한 하나의 복잡계라 할 때, 그러한 시스템을 구동시키고 억제시키는 미지의 끌개들이 존재한다. 이러한 맥락에서 본 논문은 그린 IT 시스템의 잠정적인 끌개들을 식별하고, 평가할 수 있는 하나의 새로운 모델을 제안하고, 이를 교육적으로 활용하는데 있다. 구체적으로 그린 IT의 끌개라 할 수 있는 그린 IT 너비-깊이 행렬을 기반으로 그린 IT 진화 및 자기조직화 되어가는 과정을 측정할 수 있는 유형-2 퍼지 시스템을 구축한다.

• 디지털융복합연구
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• 제9권2호
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• pp.141-152
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• 2011

오늘날 데이터센터는 비즈니스에서 핵심영역으로 인식되고 있으며, 이들에 대한 많은 서비스 요구는 보다 많은 에너지 소비를 낳고 있다. 따라서 데이터센터의 높은 수준의 에너지 효율성은 구축, 운영, 폐기 등 그들의 생명주기에 있어서 핵심이슈로 등장하였다. 본 연구에서는 이러한 생명기상에서 데이터센터의 그린화 수준을 진단할 수 있도록 성숙도모델에 기초한 그린데이터센터 수준진단모델을 제시한다. 본 연구에서 제시한 수준진단 모델은 엑션추어 GMM, DCEEF 등 기존 에너지평가모델 및 그린데이터센터 성숙도평가 모델을 참조하였으며, 최종적으로 건축, 공조, 전기, IT, 조직 등 데이터센터의 5개 핵심영역에 대한 진단지표를 제안하였다.

• 원예과학기술지
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• 제30권6호
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• pp.650-656
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• 2012

The aims of the experiment, conducted over three years in the Central Europe field conditions, were (1) to investigate the effect of growing period (plantings in the middle and at the end of August: $1^{st}$ and $2^{nd}$ term, respectively) on yield and chemical composition of the non-heading Chinese cabbage (Brassica rapa var. chinensis) cultivars 'Taisai', 'Pak Choy White', and 'Green Fortune', and (2) to develop regression models to evaluate the changes in crop yields as a function of weather conditions. A highest marketable yield was obtained from 'Taisai' (65.71 and 77.20 $t{\cdot}ha^{-1}$), especially in the $2^{nd}$ term of production. Low yield, observed for 'Pak Choy White' was due to its premature bolting. Almost 39% ($1^{st}$ term) and 70% ($2^{nd}$ term) of plants of this cultivar formed inflorescence shoots before harvest. The highest dry matter level was observed in the leaf petioles of 'Taisai', while 'Green Fortune' was the most abundant of carotenoids and L-ascorbic acid. The content of soluble sugars was the lowest for 'Pak Choy White'. In a phase of harvest maturity, more of the analyzed constituents were gathered by plants from earlier plantings, and differences were as follows: 4.7% (dry matter), 26.3% (carotenoids) and 22.1% (L-ascorbic acid), in comparison to $2^{nd}$ term of production. Significant increase of soluble sugars level was observed for plants from later harvest. The regression model for marketable yield of Chinese cabbage cultivar 'Taisai' as a function of maximum air temperature can predict the yield with accuracy 68%. The models for yield or bolting of 'Pak Choy White', based on extreme air temperatures and sunshine duration, were more precise (98%). It should be pointed out that Taisai could be recommended for later growing period in Central Europe conditions with regard to maximum yield potential. 'Green Fortune' was notable for its uniform yielding. To obtained plants of higher nutritional value, earlier time of cultivation should be suggested. Described models can be successfully applied for an approximate simulation of Chinese cabbage yielding.