• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.666-680
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• 2016

Four parks were selected to study the current situation after large scale suburban housing development in the 1990s. Since housing development road network have expanded with other facilities. First of all, green space area available per housing unit is 7.11- 22.0 sq. m. These parks neither extend as green corridor with surrounding hillside mountains (the river or lakes) nor act as the wind path from the mountains. Some housing units have reconstructed and the others will be redeveloped in near future which would more challenges for the residents in terms of quality of their life.

• Journal of Korean Society of Rural Planning
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• v.19 no.3
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• pp.37-50
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• 2013

Since 2010, RDA has discovered 30 Green-Road as the way of developing rural area. However, results from conference with expert and village leaders of Green-Road concluded that there were problems such as little financial benefits due to mismanagement and needs of improving the efficiency of management. In order to respond to these issues, this research has conducted empirical investigation about the status, management of Green-Road and its influences on local area. Main purposes of this investigation was to reveal the various obstacles in road management, and to find better ways of road management. To accomplish the goal of research, this study conducted survey and interviews with leaders in villages. Particularly, the investigation had focused on the specific management issues suggested by village leaders. Based on the results, this research suggested establishing a committee for creating leaders network and developing effective management method in order to improve road management and its consequences.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.292-297
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• 2000

This paper proposes a new concept of coordinating green time which controls 10 traffic intersection systems. For instance, if we have a baseball game at 8 pm today, traffic volume toward the baseball game at 8 pm today, traffic volume toward the baseball game will be increased 1 hour or 1 hour and 30 minutes before the baseball game. At that time we can not predict optimal green time Even though there have smart elctro-sensitive traffic light system. Therefore, in this paper to improve average vehicle speed and reduce average vehicle waiting time, we created optimal green time using fuzzy rules and neural network. Computer simulation results proved reducing average vehicle waiting time which proposed coordinating green time better than electro-sensitive traffic light system dosen't consider coordinating green time.

• Journal of Urban Science
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• v.7 no.2
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• pp.37-46
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• 2018

The purpose of this study is to review and evaluate the proper planning for 2030 Incheon Urban Parks & Green Space Master Plan. Some of the plans are aimed at multiple small districts within the city's old town, as local governments are planned to be sub-subsidized by Incheon Metropolitan City. However, these plans have become simple plans for each district and therefore find it difficult to collect from the perspective of the using system of the residents who are directly used. First, the construction of the urban park and green space network requires the construction of a service using system that can be felt by the users. Second, the basic idea of each district planned as the detailed strategy of the master plan should be planned through consultation with nearby the district. Third, specific targets and directions for the urban park and green space plan through the urban development project are needed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.4
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• pp.626-648
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• 2011

Energy consumption of wireless access networks is in permanent increase, which necessitates development of more energy-efficient network management approaches. Such management schemes must result with adaptation of network energy consumption in accordance with daily variations in user activity. In this paper, we consider possible energy savings of wireless local area networks (WLANs) through development of a few integer linear programming (ILP) models. Effectiveness of ILP models providing energy-efficient management of network resources have been tested on several WLAN instances of different sizes. To cope with the problem of high computational time characteristic for some ILP models, we further develop several heuristic algorithms that are based on greedy methods and local search. Although heuristics obtains somewhat higher results of energy consumption in comparison with the ones of corresponding ILP models, heuristic algorithms ensures minimization of network energy consumption in an amount of time that is acceptable for practical implementations. This confirms that network management algorithms will play a significant role in practical realization of future energy-efficient network management systems.

• Applied Chemistry for Engineering
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• v.31 no.5
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• pp.520-525
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• 2020

In this study, we developed a machine learning-based model for predicting the production stage temperature of distillation process. It is necessary to predict an accurate temperature for control because the control of the distillation process is done through the production stage temperature. The temperature in distillation process has a nonlinear complex relationship with other variables and time series data, so we used the recurrent neural network algorithms to predict temperature. In the model development process, by adjusting three recurrent neural network based algorithms, and batch size, we selected the most appropriate model for predicting the production stage temperature. LSTM₁₂₈ was selected as the most appropriate model for predicting the production stage temperature. The prediction performance of selected model for the actual temperature is RMSE of 0.0791 and R² of 0.924.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.5
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• pp.471-476
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• 2010

In this paper, we propose an effective method that recognizes the vehicle license plate using RGB color information and back-propagation neural network algorithm. First, the image of the vehicle license plate is adjusted by the Mean of Blue values in the vehicle plate and two candidate areas of Red and Green region are classified by calculating the differences of pixel values and the final Green area is searched by back-propagation algorithm. Second, our method detects the area of the vehicle plate using the frequence of the horizontal and the vertical histogram. Finally, each of codes are detected by an edge detection algorithm and are recognized by error back-propagation algorithm. In order to evaluate the performance of our proposed extraction and recognition method, we have run experiments on a new car plates. Experimental results showed that the proposed license plate extraction is better than that of existing HSI information model and the overall recognition was effective.

• Korea Trade Review
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• v.47 no.6
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• pp.55-69
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• 2022

Within the worse of the environment, Climate change caused by global warming is becoming serious around the world, and green logistics to pursue sustainable development in the logistics sector are receiving more and more attention. Along with the acceleration of the global economy, eco-friendly issues are playing an increasingly important role in the logistics industry, and various policy measures are being pursued to establish the green logistics system. This study aims to analyze research trends in eco-friendly logistics, and the SNA methodology was applied by extracting keywords from 518 domestic and foreign papers from 2013 to August 2022. The period is divided into three stages: 2013-2015, 2016-2019, and 2020-2022, and 'logistics' and 'sustainable development' were derived as top logistics eco-friendly keywords at all stages. Besides, In the first stage(2013-2015), the term 'environmental performance' and 'freight transport' attracted the attention of scholars. In the second stage(2016-2019), keywords such as 'third-party logistics' and 'lean logistics' have attracted the attention of scholars. In the third stage(2020-2022), the 'internet of things' and 'circular economy' received the attention of scholars. In line with the growth of the economy, it was confirmed that research related to eco-friendly logistics is gradually expanding to a sustainable concept. Based on this study, it is possible to grasp the research trends of the academic community to cope with recent environmental changes and provides reference materials to consider future research directions.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.25-49
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• 2013

As global competition for green car, that is environmentally friendly car, is getting tougher, the governments and the related industries are putting their core efforts in its diffusion. However, the green car sales are disappointing so far. To overcome the gridlock, it is necessary to develop concrete analytical framework to understand the diffusion process. Based on causal loop analysis from the previous work, we have identified main variables and relationships of them in the diffusion process and developed a stock-flow diagram and mathematical formula for the main components. The model would be applied for further quantitative simulation on the diffusion process of green car and other innovative goods as well. Also, we have suggested constructive insights for the policy makers and for the related industries. First, it is important to increase consumers' willingness to consider through marketing and word of mouth to accelerate the diffusion process. Second, in the perspective of the industry, the market share of green car should be increased at the earliest possible stage and this could be done by enhancing each components of green car attractiveness(e.g. price, driving range, social infra). Third, companies should develop a balanced investment between consumer and technology sector through a flexible financial policy. Fourth, the government continuously has the role of investing in the related R&D and social infra building. We expect the green car diffusion model and related formula from the research can provide meaningful tools to analyze the diffusion process of other new and innovative goods based on its deep researched literature review.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.10a
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• pp.101-106
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• 2003

Recent electronic equipment becomes smaller, more functional, and more complex. According to these trends, LTCC(low temperature co-fired ceramic) has been emerged as a promising technology in packaging industry. It consists of multi-layer ceramic sheet, and the circuit has 3D structure. In this technology via hole formation plays an important role because it provides an electric path for the packaging interconnection network. Therefore via hole quality is very important for ensuring performance of LTCC product. Via holes are formed on the green sheet that consists of ceramic(before sintering) layer and PET(polyethylene Terephthalate) one. In this paper we found the correlation between hole quality and process condition such as ceramic thickness, and tool size. The shear behavior of double layer sheet by micro hole punching which is different from that of single layer one was also discussed.