• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.6
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• pp.77-84
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• 2007

This study aims to analyze temporal variation of rural tourist potential in village level. In order to analyze the temporal variation, this study applied a green-tourism potential evaluation model(GPEM) to a study area, Namilmyun with 18 villages, which located on county of Kumsan, province of Chungnam. GPEM consists of two factors about human resources, which is quantified by resident population of the village who will be participated in village management for green-tourism, and amenity resources, which is calculated by an evaluation table with 31 criteria and their weighting values. Data surveying for the study area was performed at August 2003 and 2006, respectively, in order to quantity the 31 evaluation criteria of GPEM. From the analysis results, the amenity resources with three sub-classes of industrial, natural, and social resources showed that the evaluation values of 2006 were increased in more than those of 2003, displaying the increase rate of ranging from 108% to 112% in the three sub-classes, except of one village in social resources and three village in natural resources with reduction. In human resources, the evaluation values of 2006 were highly increased more than those of 2003, showing the rate of 556% in the gradient of linear regression line. In green tourism potential in each village, the evaluation results for two time series showed that the potential is increased by time, which the increase rate of the potential is 114%. Ultimately, the results of this study enable us to realize that the green-tourism potential in each village over time is increased, for example, due to developing new facilities in the village by investment of government and participating in rural tourism by resident people over time. From the analysis and results, the methodology of this study can be applied to analyze the temporal variation of the potential for villages having investment from government.

• Journal of the Korea Organic Resources Recycling Association
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• v.20 no.4
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• pp.127-133
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• 2012

The 'SSaM-GG'(=Smart, Shared, and Mutual- Green Growth) as the five bottom lines for sustainable development is developed and suggested. Because the name of Green Growth alone is not sufficient for clear conceptualization, implementation. and etc. For the global harmonized usage & application, the Eastern-Western conceptual fusion has been performed, and verified for more than 12 years on the worldwide successes and failures.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.225-231
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• 2005

This study aims to suggest an evaluation methodology of green-tourism potential for village level with amenity resources in rural areas. The amenity resources system was classified into three sub-classes(social, industrial, and natural/cultural/historical resources) and a relationship diagram between three classes and tourists' behavior was also defined. The methodology considers human resources in the village including the three sub-class amenity resources. The table and diagram were applied to make renewal plan for rural villages of the study area, Nami-myun, Keumsan-gun, Chungnam province, so that the development scheme for the villages was suggested reasonably by the new findings of this study.

• Mycobiology
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• v.38 no.1
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• pp.39-45
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• 2010

White rot, which is caused by Sclerotium cepivorum, is a lethal disease affecting green onions. Three different types of nanosilver liquid (WA-CV-WA13B, WA-AT-WB13R, and WA-PR-WB13R) were tested in several different concentrations on three types of media to assess their antifungal activities. Results from in vitro experiments showed that all three of the nano-silver liquids had more than 90% inhibition rates at a concentration of 7 ppm. Greenhouse experiments revealed that all of the nano-silver liquids increased biomass and dry weights, and there were minimal changes in the population of various bacteria and fungi from the soil of greenhouse-cultivated green onions. In addition, a soil chemical analysis showed that there were minimal changes in soil composition.

• International journal of advanced smart convergence
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• v.1 no.2
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• pp.52-58
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• 2012

Green cloud computing refers to the green ambient benefits that information technology services delivered over the Internet can offer for the society. The green meaning environment friendly and cloud computing is a traditional symbol for the Internet and a type of service provider. Cloud computing has drastically increased the number of datacenters and the energy consumption of data centers and that has become a critical issue which is extremely important in green ambience. These days the cloud data center needs high energy resources that leads to high operational cost and also maximizes CO2 - carbon footprint that pollutes the ambience which is not to be considered as green ambience. So we need to provide a way that leads us to green ambience. Cloud computing for the green ambience should be designed in a way which will utilize less energy resources and to minimize the CO2 -carbon footprint, known as green cloud. In this paper we discuss various elements of Clouds which contributes to minimize the total energy consumption and the carbon emission so as to enable green ambience through green cloud computing.

• The Plant Pathology Journal
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• v.39 no.2
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• pp.234-234
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• 2023

• Plant Resources
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• v.8 no.3
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• pp.225-229
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• 2005

This study was conducted to investigate the effect of activated carbon on leave production of Allium tuberosum. Growth characteristics including plant height and leaf length were the highest when activated carbon was added with 5%, suggesting that optimum amount of activated carbon was ranged from 5 to 10%. Weight of fresh green vegetable in Allium tuberosum was low in control. And fresh weight of Allium tuberosum was higher in 5% treatment of activated carbon. However, when the plants were grown in activated carbon of $5{\sim}10%$, fresh yield of green vegetable of Allium tuberosum can be increased by using Activated Carbon. Activated carbon can be utilized as a soil conditioner in agricultural crop areas.

• Plant Resources
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• v.8 no.1
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• pp.13-16
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• 2005

This study was conducted to develop effective production system in greenhouse for leaves and stems of Angelica acutiloba by fertilizing of Sta-Green in pots. The results obtained are summarized as follows. Germination rate of Angelica acutiloba seeds collected in 2003 was $13\%$, while germination rate of seeds Collected in 2004 was above $91\%$. Seed germination rate and plant biomass of Angelica acutiloba collected in 2004 were higher than seed gathering in 2003. Especially, plant growth and yield of Angelica acutiloba grown in pot(The pots was filled with soil mixtures of Sta-Green and Peat Moss mixed with 45:55 ratio.) was the highest. These results indicate that leaf and stem production of Angelica acutiloba can be improved by fertilizing of Sta-Green in pots and optimizing seed collecting time in greenhouse.

• Journal of Forest and Environmental Science
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• v.36 no.2
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• pp.156-162
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• 2020

This study was conducted to analyze the current management status of green tea processors in two regions (Hadong-gun and Boseong-gun) in Korea and to suggest directions for the development of the green tea industry based on an understanding their difficulties in management. This study showed that the number of green tea farms and the cultivation area had decreased, while the average unit sales price of green tea in Boseong-gun was approximately three times higher than that in Hadong-gun. Also, this study found that Hadong-gun mainly provided green tea products to wholesalers, whereas Boseong-gun sold it directly to the local retail stores targeting tourists, and this results in generating relatively higher unit prices. Meanwhile, we discovered that both regions had difficulties in management which were caused by the demand for low delivery unit costs from large corporations and small food companies. Therefore, in order to develop the green tea industry in both regions, the size of green tea fields and the scenery satisfaction should be improved to draw more tourists and boost tourists' intention to revisit. In addition, it is necessary to enhance guidance and accessibility of related tourist sites, to expand green tea experience activities, and to improve product satisfaction by developing various goods. By inducing more tourists in these ways, it could change the sales type of green tea from wholesale to retail and help activate the management of green tea processors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2496-2512
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• 2021

The requirements for powerful computing capability, high capacity, low latency and low energy consumption of emerging services, pose severe challenges to the fifth-generation (5G) network. As a promising paradigm, mobile edge networks can provide services in proximity to users by deploying computing components and cache at the edge, which can effectively decrease service delay. However, the coexistence of heterogeneous services and the sharing of limited resources lead to the competition between various services for multiple resources. This paper considers two typical heterogeneous services: computing services and content delivery services, in order to properly configure resources, it is crucial to develop an effective offloading and caching strategies. Considering the high energy consumption of 5G base stations, this paper considers the hybrid energy supply model of traditional power grid and green energy. Therefore, it is necessary to design a reasonable association mechanism which can allocate more service load to base stations rich in green energy to improve the utilization of green energy. This paper formed the joint optimization problem of computing offloading, caching and resource allocation for heterogeneous services with the objective of minimizing the on-grid power consumption under the constraints of limited resources and QoS guarantee. Since the joint optimization problem is a mixed integer nonlinear programming problem that is impossible to solve, this paper uses deep reinforcement learning method to learn the optimal strategy through a lot of training. Extensive simulation experiments show that compared with other schemes, the proposed scheme can allocate resources to heterogeneous service according to the green energy distribution which can effectively reduce the traditional energy consumption.