• Journal of Korean Society of Transportation
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• v.4 no.2
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• pp.15-35
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• 1986

As the population of persons and automobiles rapidly grows, parking problems also grow in large cities of Korea. The purpose of this paper is to first grasp the status of parking facilities and characteristics in large cities of Korea; and introduce new directions of CBD parking policies in north America cities: and finally recommend the adequate parking management strategies and tactics for improving parking problems in Korea. For this purpose, field survey for parking inventories, patrol survey for parking usage as observed demand and drive interview survey for parking behavior were conducted. Compared with the parking characteristics and polices of foreign cities, many differences of characteristics were found, and existing parking management policies, which should be improved, were identified. Five categories of parking management strategies were set on; a) Reasonable control of CBD parking demand, b) securing of the public parking facilities c) Promotion of privately operated parking facilities d) expansion of financial resources for parking facilities construction and e) Improvement of existing parking management system. And actural seventeen tactics to attain the above strategies were recommended.

• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.1-13
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• 2018

Deep learning (DL) models have been widely applied to AI applications such image recognition and language translation with big data. Recently, DL models have becomes larger and more complicated, and have merged together. For the accelerated training of a large-scale deep learning model, model parallelism that partitions the model parameters for non-shared parallel access and updates across multiple machines was provided by a few distributed deep learning frameworks. Model parallelism as a training acceleration method, however, is not as commonly used as data parallelism owing to the difficulty of efficient model parallelism. This paper provides a comprehensive survey of the state of the art in model parallelism by comparing the implementation technologies in several deep learning frameworks that support model parallelism, and suggests a future research directions for improving model parallelism technology.

• The Journal of Sustainable Design and Educational Environment Research
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• v.14 no.3
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• pp.18-27
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• 2015

2009 As the School District is amended as a metropolitan area public development operators obliged to free supply of school facilities contribute to the streamlining of the provincial education funding, and although institutions shortly became implemented in earnest, the effect has been, despite a number of problems occur. In this study, analysis of these school facilities free of charge supply system on the status and problems through surveys, and suggests directions for future drafting and improving legislation.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1735-1740
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• 2005

In this paper, ways of improving the performances of roundabouts under the assumption that the Advanced Vehicle System is proposed. The situation on a road contains uncertainty and complexity caused by different vehicles having different directions and time-varying traffic flow. This sort of system with high uncertainty is called Multi Agent System (MAS). The MAS is a collective system, including numbers of agents and performs high diversity of the configuration as well as it has nonlinear property and complexity. Hence it is difficult to analyze and control the multi-agent system. A roundabout can be considered as an MAS with numbers of moving vehicles. So it must be difficult to use a centralized control technique to all vehicles in an intersection. Therefore, to improve the performances of roundabouts, multi-agents flow control algorithm for vehicles in Roundabouts using 'self-organization' technique is proposed.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.11
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• pp.1005-1010
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• 2012

We propose a novel approach to classify fingerprints using the extracted adaptive core block for improving classification performance of incomplete fingerprints in this paper. We compute representative directions from fingerprint images by the block unit and learn horizontal and vertical Markov models by deciding the center position of a fingerprint image based on the expert knowledge. The center block of a test image is the block has the highest probability after comparing the Markov model with $11{\times}11$ blocks. The proposed approach can effectively classify incomplete fingerprints using the optimal center block.

• The Journal of the Acoustical Society of Korea
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• v.18 no.2
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• pp.40-47
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• 1999

Focusing is widely used to increase the resolution in ultrasound transmit field. It increases signal levels returning from the mainlobe direction and decreases those due to sidelobe directions. However, when the sidelobes cannot be completely canceled, the resulting image resolution is greatly deteriorated. This paper proposes a method of improving the resolution by scaling the received signal according to the difference between the mainlobe and sidelobe levels computed in the frequency domain by the use of Fourier transform. The proposed method is verified by computer simulation and experiments, and is shown to be highly effective in narrowing the mainlobe width and decreasing the sidelobe levels.

• KIEAE Journal
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• v.6 no.1
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• pp.39-46
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• 2006

Multi-use housing and commercial buildings have been emerged according to social and economic changes of CBD in Seoul Metropolitan Areas. The purpose of this study is to clarify the characteristics of the multi-use building, to analyze the problems on the base of survey and to suggest the solutions for architectural planning, focusing on eco-friendly dwelling environment. A field survey with 46 subjects has been carried out with structured questionnaire. Some problems in planning of the complex building have been discussed in terms of environmental issues and design criteria. In conclusion, basic planning directions for improving the building environmental quality have been suggested.

• Journal of Agricultural Extension & Community Development
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• v.19 no.1
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• pp.49-77
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• 2012

The purpose of this study were to analyze agricultural practice of schools in foreign countries, especially Germany, France, Netherland, Japan, to attain its implications and to get implications for improving KNCF's workplace practice program. This study was conducted through an extensive review of literature related to agricultural practice system of educational institutes of foreign countries. Some implications were summarized as followings: (1) the preparing program should be built in long-term workplace practice, (2) the manual for students and workplace professors should be made and supplied, (3) the web-site sharing the information of practice farms should be established, (4) KNCF should effort to manage the workplace practice, (5) the several standard model should be applied by kinds of crops and livestocks.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.12
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• pp.1341-1346
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• 2004

The OLED research is gone for two directions. One is material development research, and another one is structural improvement part. All two are thing to heighten luminescence efficiency of OLED. n other to improve luminescence efficiency of OLED Electron - hole pairs must consist much more in the device Their profiles are sensitive to mobility velocity of electrons and holes. In this paper, we demonstrate the difference of velocity between hole and electron by experiments, and compare with a data of simulation and experiment changing hole carrier transport layer thickness, so we get the optimal we improve luminescence efficiency. We suggest improving the efficiency of OLEDS would be to balance the injection of electrons and holes into light emission layer of the device. And, we improve understanding of the various luminescence efficiency through experiments and numerical analysis of luminescence efficiency in variable hole carrier transport layer's thickness.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2179-2194
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• 2010

RAMS is becoming increasingly important in the decision making process for the rolling stock projects in order to improve competitiveness by reducing system life cycle cost while improving reliability, availability, maintainability and safety. In order to apply and manage RAMS of rolling stock systems effectively in the operator perspective, it is essential to integrate and control RAMS systematically from the early stage of rolling stock projects. RAMS management is to implement a RAMS system into rolling stock projects in terms of a rolling stock operator, which presents the strategic directions of RAMS policy, objectives, requirements, control, analysis, measurement and improvement throughout life cycle of rolling stock projects. This article presents a new framework of RAMS management that provides an effective and efficient way for managing RAMS in rolling stock systems in the railway industry.