• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.201-208
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• 2005

Event notification service is a event-based messaging middleware service needed for various vertical domains, such as, business applications, distributed system management, and web service integration. In this paper, we investigate the architecture of an event notification service that includes a subject-based event dissemination service and a flexible message communication service. The event dissemination service is in charge of transferring events asynchronously but speedy according to the subjects of events and their environmental knowledge. It also includes content-based message filtering. The message communication service provides a common communication infrastructure supporting variety types of messages and variety of protocols. Depending on application domains and situation, we can re-configurate the communication infrastructure in order to optimize the efficiency and usability. This paper shows the performance analysis of our event notification service with various types of message formats and protocols.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.227-234
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• 2019

The purpose of this study is to present a block type smart classroom model for comprehensive supply of educational contents, classroom environment and ICT technology in African countries where educational infrastructure is weak. It will provide a contextual solution that integrates learning management, power management, and classroom environment management systems, and will be a convergence model that can optimize economic and non-economic conditions for different African countries. It can be expected to enhance utilization as it is a differentiated model from existing classrooms with a single container, as well as independent research and development centered on services, content, and solutions. Through this integrated research process, we can overcome the spatial and functional limitations appearing in single container classrooms and build a flexible space for advanced e-learning technology. The depth and scope of the follow-up study can be carried by investigating the performance and models that are in line with the educational and infrastructure conditions of the various regions.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.113-119
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• 2023

Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.

• Journal of Korean Society of Transportation
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• v.33 no.6
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• pp.564-574
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• 2015

As shown by the popularity of the rapid train in the Seoul Metro Line No. 9, the demand for the rapidization of the metro transit has been continuously increased. However, it needs tremendous cost to construct new additional infrastructures to the existing line for the rapidization. In order to overcome the problem, utilizing the existing infrastructures such as crossing tracks as railroad sidetracks can be considered to be a good method of reducing the cost. In this case, there is a way exploiting the existing train as an express train and the advanced train, which increases both acceleration and deceleration, as a local train, but achievable acceleration and deceleration have not been analyzed rigorously. In this paper, we analyze feasible ranges and optimal values of both acceleration and deceleration of the advanced train analytically when we consider the rapidization of the metro transit utilizing the existing infrastructures and verify the results in Seoul Metro Line No. 3. Simulation results show ranges and optimal values of achievable acceleration and deceleration exist when minimum gap between an express train and a local train is smaller than 40 seconds.

• Korean Chemical Engineering Research
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• v.52 no.6
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• pp.727-735
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• 2014

For improved sustainability of the biorefinery industry, biorefinery-byproduct glycerol is being investigated as an alternate source for hydrogen production. This research designs and optimizes a hydrogen-production process for small hydrogen stations using steam reforming of purified glycerol as the main reaction, replacing existing processes relying on steam methane reforming. Modeling, simulation and optimization using a commercial process simulator are performed for the proposed hydrogen production process from glycerol. The mixture of glycerol and steam are used for making syngas in the reforming process. Then hydrogen are produced from carbon monoxide and steam through the water-gas shift reaction. Finally, hydrogen is separated from carbon dioxide using PSA. This study shows higher yield than former U.S. DOE and Linde studies. Economic evaluations are performed for optimal planning of constructing domestic hydrogen energy infrastructure based on the proposed glycerol-based hydrogen station.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1250-1256
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• 2018

Recently, wireless networks are becoming an important infrastructure for the critical large-scale applications such as cyber-physical systems and next generation industrial automations. However, the fundamental performance uncertainty of wireless networks may incur the serious instability problem of the overall systems. This paper proposes the proactive network optimizer to guarantee the application demands without any real-time link monitoring information of the networks. In particularly, the proposed proactive optimizer is the cross-layer approach to jointly optimize the routing path and traffic distribution in order to guarantee the performance demand within a maximum k number of link faults. Through the simulations, the proposed proactive network optimizer provides better robustness than the traditional existing reactive networks. Furthermore, the proactive network does not expose to the major weakness of the reactive networks such as the performance degradation due to the erroneous link monitoring information and the network reconfiguration cost.

• Environmental and Resource Economics Review
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• v.24 no.1
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• pp.225-249
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• 2015

There are growing interests in the introduction of consumer's selective electricity tariff systems in order to enhance demand response in electricity market in Korea. Real time pricing (RTP) and Time of Use (TOU) are typical examples of demand response system through which electricity price is linked to real time demand. This paper adopts an agent-based model to analyze the effects of such demand system on the counsumers' electricity costs. The result shows that real time pricing system is effective to reduce electricity costs of consumers by providing more flexible tariff system, depending on each consumer's demand pattern. This finding could be used as a basis for supporting smart grid system in the presence of responsive demand environment.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.93-108
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• 2016

Electric vehicle car sharing (EV-sharing) system is noted as an eco-friendly system of transportation in global warming crisis and has been practically implemented in some cities around the world. However, methodologies to find the efficient operation conditions of EV-sharing systems reflecting a typical characteristic 'charging' have not been fully investigated yet. In the paper a generalized model has been developed to identify optimal level of infrastructure for EV-sharing system which provides the optimum operation efficiency under service level constraints. From the simulation analysis based on the developed model the relationships between the operational variables to describe EV-sharing system have been identified and optimal capacity to maximize the operational efficiency have been found. From the analysis of simulation results it has been found that increases in the number of vehicles and chargers improve the service level until certain value beyond which increasing rate and the efficiency have been reduced. From the cost-revenue analysis the optimal numbers of vehicles and chargers have been identified which maximizes the annual operational profit.

• International Commerce and Information Review
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• v.3 no.1
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• pp.197-223
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• 2001

최근 B2B 전자상거래 확산에 따른 물류문제를 해결하고 오프라인 물류와의 차별화롤 시도하기 위한 목적으로 다양한 물류측면의 대안이 제시되고 있다. 먼저 물류산업 자체의 e-business화를 추진함으로 기존 물류체계에서의 고비용 문제, 책임 소재가 불분명한 서비스 문제를 해결하고 운송정보의 실시간 제공을 통한 발주자, 화주자 간의 긴밀한 커뮤니케이션 형성과 해외시장을 겨냥한 글로벌 물류체계를 구축해야 한다. 다음으로 물류업종의 지나친 세분화, 기존 물류업체의 영세성과 혁신마인드의 부족, 그에 따른 제조 유통업체의 경쟁적 자가물류 확충의 악순환으로 제3자 물류시장 성장기반이 제한되어 오는 등 구조적인 문제점을 극복하기 위하여 주요 운송업체가 영세한 화주나 창고관리 위탁업무까지 대행하여 주는 지금까지의 제3자 물류 체제에서 대기업이 물류시장에 새롭게 진출하면서 사이버 물류시스템을 기반으로 기존 주요 운송업계와 VAN 사업자가 장악하고 있는 물류정보 서비스를 주도하는 제4자 물류체제로의 전환이 요구된다. 왜냐하면, SCM과 전자상거래 환경 하에서는 공급 망 내의 물류를 최적화하여 기업의 경쟁력을 강화하기 위해서 기능적 아웃소싱의 단계를 거쳐 물류기능의 통합과 운영의 자율권이 증대, 전체적인 공급연쇄 솔루션을 제공하는 서비스 제공자와 함께 기업의 경영자원, 능력, 기술을 관리하고 결합하는 공급연쇄 통합자로서 제4자 물류가 필요하기 때문이다. 이와 같은 제4자 물류체제가 본격 형성될 경우 물류정보와 인프라가 복잡하게 업혀있는 기존 물류산업이 재편되고, 특화된 물류솔루션을 바탕으로 한 산업별 물류체제 구축이 가속화될 것으로 예견되며, 일반기업 입장에서 물류부문의 아웃소싱이 촉진되어 물류산업기반이 확충될 수 있을 것이다.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.303-305
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• 2005

현재 인류가 직면하고 있는 에너지 및 환경 문제를 해결할 수 있는 최선의 대안으로서 수소 에너지 및 연료전지 기술에 대한 연구가 활발히 진행 중이다. 본 연구에서는 디메틸 에테르를 이용한 수소 생산 기술에 대한 연구를 수행하였다 디메틸 에테르(BATE)는 안정한 화합물로서 비 활성적이고 부식성이 없으며 발암성 및 마취성이 얼어 인체에 무해한 청청 연료로서 각광을 받고 있으며 특히 기존의 LPG 인프라를 그대로 사용할 수 있는 장점 등으로 수소 스테이션 및 소형 연료전지용 수소 발생기 등에의 적용을 위한 연구가 활발히 진행 중이다. 본 연구에서는 이러한 응용을 위한 수소 발생기용 DME 개질 반응기의 개발을 위하여 본 반응에 대한 촉매 종류의 영향, 공간속도의 최적화, 반응 메카니즘에 따른 촉매 선정, 반응온도 등의 다양한 반웅 조건에 대한 영향을 확인하고 실제 소형 연료전지를 위한 수소공급 장치로서 적용코자 마이크로채널 반응기에 적용하여 마이크로채널 DME 개질반응기의 컴팩트한 수소공급 장치로서의 적용 가능성을 평가하였다.