• Journal of the Korean Institute of Landscape Architecture
• /
• v.33 no.2 s.109
• /
• pp.1-15
• /
• 2005

The purpose of this paper is to classify zones disrupting green spaces in city and to evaluate of their grades. The results are as follows; L There were 158 green spaces in Dalsu-gu. The 158 green spaces were classified 4 patterns and minutely classified into 9 types. The area of the 'nature park' type was turned out to be $70.1\%$ of the total area of green spaces in Dalsu-gu, then the type was considered as a important part of the green-network in Dalsu-gu. The 9 types such as 'nature park', 'river', 'neighborhood park' and so on were analysed with ecological indexes. 2. Based on the ecological indexes of 'ratio of the green space', 'features of the surrounding matrix' and 'travel distance of the wildlives' , zones disrupting green spaces were ranging widely and re-divided to 236 sectors. 3. The analysis results for classifying the grades were that grade I appeared over industrial complex and housing complex widely. On the other side, grade II and III appeared around or between nature park and neighboring park Consequently, it was necessary to consider the grade and make zones disrupting green spaces into green space for improving green network.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.3
• /
• pp.349-354
• /
• 2020

The preliminary investigation to expand the green space requires a lot of cost and time. In this paper, we solve the problem by measuring the ratio of green space in a specific region through a convolutional neural network based the green space classification using Google Earth images. First, the proposed method collects various region images in Google Earth and learns them by using the convolutional neural network. The proposed method divides the image recursively to measure the green space ratio of the specific region, and it determines whether the divided image is green space using a trained convolutional neural network model, and then the green space ratio is calculated using the regions determined as the green space. Experimental results show that the proposed method shows high performance in measuring green space ratios in various regions.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.31 no.2
• /
• pp.48-57
• /
• 2003

The objective of this study is to review and verify whether the functions and effect of roadside trees generally hewn in theory are actually realized in urban roads and how well they are performed if the function and effect are realized. The study was conducted with a focus on 3 functions and effects including roadside tree's urban landscape improvement function (green area visibility ratio), effect of introducing green area within a city, and urban green network building function. The major study results are as follows: First, the average green area visibility ratio of 41 study areas is currently about 25.90%. The green area visibility ratio of commercial area within downtown was lowest among 5 road types. It showed that it is possible to raise the average green area visibility ratio up to 32.49% through roadside tree management and additional plantation. Second, in a section between Paldal Mountain and Suwon City Hall where there is no forest fragments and parks at all, a green area of 4,826 roadside trees represented 2.4% of total area and served as the only linear green area. Third, an analysis of 15 cities in Kyonggi province showed that urban forests are concentrated in outskirts. The suey showed that because forest fragments and parks exist in a form of points in urban areas, roadside trees are the only green areas that link each other and build a network.

• Journal of Korean Society of Rural Planning
• /
• v.15 no.1
• /
• pp.47-59
• /
• 2009

The aim of this study is to analyze the green-tourism centrality considering spatial interaction using Gravity Model and social network method. The degree centrality and prestige centrality were applied as green-tourism centrality index. The rural amenity resources and human resources were counted as attraction factors, and a distance among villages was used as friction factor in gravity model. The weights of rural tourism amenity resources were calculated using the analytic hierarchy process(AHP) method and applied to evaluate green-tourism potentiality. The distance was measured with the shortest path among villages using geographic information system(GIS) network analysis. The spatial interaction from gravity model were employed as link weights between nodal points; a pair villages. Using the spatial interaction, the degree-centrality and prestige-centrality indices were calculated by social network analysis and demonstrated possibility of developing integrated green-tourism region centered on high centrality villages.

• Korean Journal of Environment and Ecology
• /
• v.28 no.2
• /
• pp.128-141
• /
• 2014

This study established a plan to establish the roadside green for enhancing the urban green network and enhancing of urban greenery in Songpa-gu. As for the present conditions of the streets, that of the parks, the green axes, sidewalk in Songpa-gu were analyzed. This study derived 19 parks by the roadside and 13 lines to connect green axes. The result of roadside greenery status were selected 56,546m lines by natural green space and constructed green space. The result of sidewalks width were selected 8,600m lines that sidewalks width more than 5m for enhancing urban green network in Songpa-gu. For enhancing the urban green network lines were selected: Olympic Expressway, Songpa-daero, Nambusunhwan-no and Wiryeseong-gil. To improve the street planting strips, two plans were suggested: to improve the green structures of the street planting strips mainly with shrubs and to effectively create street planting strips through the green spaces along the streets. A plan to promote the amount of planting street trees in Songpa-gu analyzed the streets. Complements the understory layer sections were the highest the entire length of 34,206 m of 63.6% in strengthening for network streets. Greenspace network streets were calculated for planting of volume by promotion plan. Planting volume increased 4,708 trees before expand planting plan, so the total tree was considered 9,518 trees.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.10a
• /
• pp.379-382
• /
• 2009

As IT becomes leading part of futurity industry, issue about Green IT is being on the increase and resources recycling, toxicity water use resection, saveenergy etc. are emphasized. Fundamental purpose for Neteuwokeusiseutem's Green IT realization that is constructed on ship studied about network security system that can control access that use resources as efficient and safe and is enemy of evil which can give subordinate of system for this and resect unnecessary hardware waste by back more.

• Journal of KIISE
• /
• v.42 no.1
• /
• pp.130-137
• /
• 2015

With the rapid increase of energy consumption and environmental problems, the need for green techniques is increasing. Network coding can provide a solution by reducing unnecessary data transmission and by estimating traffic patterns. In addition, it can amplify the synergy with the cognitive radio network (CR) since the CR has recognition and optimal decision functionalities. In this paper, we propose a network coding based green cognitive radio network. With the simulations, we show that the proposed scheme is up to 25% better than the previous work.

• KIEAE Journal
• /
• v.10 no.6
• /
• pp.3-10
• /
• 2010

The subject is to find green roofs' location as stepping stones in green-network in fine scale. The study site is Junggu, Seoul, which has core areas(Bukaksan and Namsan) and green areas(parks, etc.). Through literature review, the closer to core areas and green areas, target species reach green roof easier, and target species must be avifauna(flying species) and high class in food chain, because of possibility of reaching. So, Great Tits, inhabited in Namsan and urban bird, is target species. The location standard of green roofs, realized birds' reaching distance, consists of home range(horizontal range and vertical range) and roof-greening capable area. The green roofs' distribution of location was resulted through GIS analysis of feasible site finding, and classified with weight of score. In discussion, Namsan gives more effect to locate green roofs than Bukaksan does and selected buildings which are grouped in some parts need to be managed with group, green roof district.

• Journal of Environmental Science International
• /
• v.18 no.9
• /
• pp.961-970
• /
• 2009

This paper has attempted to improve the quality of urban environment in terms of the management of urban green tract and suggest a way of coexistence between human and nature by proposing a plan to establish green network using an urban green zone based on 'linear concept' instead of point and plane concepts. The results have turned out as follows: 1. According to current status of forest functions, forest recreation area has reached 39.6%, satisfying citizens' needs. However, the space for living environment is just about 20% with a lack of a green zone. Therefore, it's been necessary to establish green network using roadside trees and take advantage of them as sustainable living space along with existing green tract. 2. With forest in the suburbs and Geumhogang which is the tributary to the Nakdonggang, Sincheon (stream) flows through the downtown. It connects mountains including Waryongsan from the south to the north around Duryu Park and Dalseong Park. Therefore, the water system that passes through Palgongsan (Mt.) and Biseulsan (Mt.) would make it possible to connect with the parks in the downtown. 3. According to this paper, it appears that it's necessary to establish green network through roof or wall greening by focusing on the existing green tract in the urban parks and suburbs and taking advantage of roadside trees and water system.

• ETRI Journal
• /
• v.39 no.2
• /
• pp.275-283
• /
• 2017

A green technology for reducing energy consumption has become a critical factor in ICT industries. However, for the telecommunications sector in particular, most network elements are not usually optimized for power efficiency. Here, we propose a novel energy-efficient packet switching method for use in an IP network for reducing unnecessary energy consumption. As a green networking approach, we first classify the network nodes into either header or member nodes. The member nodes then put the routing-related module at layer 3 to sleep under the assumption that the layer in the OSI model can operate independently. The entire set of network nodes is then partitioned into clusters consisting of one header node and multiple member nodes. Then, only the header node in a cluster conducts IP routing and its member nodes conduct packet switching using a specially designed identifier, a tag. To investigate the impact of the proposed scheme, we conducted a number of simulations using well-known real network topologies and achieved a more energy- efficient performance than that achieved in previous studies.