• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1737-1740
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• 2003

최근 몇 년간 웹 애플리케이션의 개발은 다른 애플리케이션의 개발보다 사회적으로 더욱 활발하였다. 이것은 우리 사회에 많이 보급되어 손쉽게 접근할 수 있는 인터넷과 또 그 인터넷 안에 있는 웹의 편리함에 그 이유가 있을 것이다. 그러나 이러한 활발한 웹 애플리케이션 개발에 비하여 웹 애플리케이션의 개발 방법 자체에 대한 연구는 거의 전무한 상태이다. 따라서 대학 교육에서도 그 일정한 지침이 없는 상태이다. 이러한 개발 방법에 대한 미진한 연구는 아마도 다른 애플리케이션에 비하여 웹 애플리케이션의 개발이 시작된 지 오래되지 않은 원인도 있겠지만 또 웹 애플리케이션이 가지는 특성에도 기인할 것이다. 즉, 웹은 보통 MVC(Model-View-Controller) 모델의 뷰(view)가 중심이 되고 컨트롤 부분이나 모델 부분은 상대적으로 적기 때문이다. 그래서 그 구현이 다른 일반 애플리케이션의 구현보다 비교적 개념이 쉽고 간단하다. 그러나 그 구현이 비교적 간단하다 하더라도 정형화된 개발 모델이 있으면 애플리케이션의 생산성은 향상될 뿐만이 아니라 학교 교육에도 큰 도움이 될 것이다. 즉 학생들에게 정형화 된 모델을 교육하는 경우 그것은 학생들의 웹 애플리케이션 개발에 큰 도움이 되는 것이다. 실제로 개발 모델을 교육시키고 프로젝트를 하는 경우와 그렇지 않은 경우에 그 완성도에서 크나큰 차이를 보였다. 정형화된 모델을 교육받은 학생들은 그렇지 않은 학생들에 비하여 프로젝트의 완성도도 높을 뿐만 아니라 그 구성이나 일관성에서 훨씬 좋은 결과를 보였다. 본 논문에서는 이러한 웹 애플리케이션을 위한 개발 방법을 제시하고 그에 앞서 클라이언트-서버 모델이 웹이라는 환경에서 가질 수 있는 특성과 작업에 대하여 분석한다. 그리고 본 논문에서는 그 예를 JSP로 보여준다.라도 단순 다중 쓰레드 모델보다 더 많은 수의 클라이언트를 수용할 수 있는 장점이 있다. 이러한 결과를 바탕으로 본 연구팀에서 수행중인 MoIM-Messge서버의 네트워크 모듈로 다중 쓰레드 소켓폴링 모델을 적용하였다.n rate compared with conventional face recognition algorithms. 아니라 실내에서도 발생하고 있었다. 정량한 8개 화합물 각각과 총 휘발성 유기화합물의 스피어만 상관계수는 벤젠을 제외하고는 모두 유의하였다. 이중 톨루엔과 크실렌은 총 휘발성 유기화합물과 좋은 상관성 (톨루엔 0.76, 크실렌, 0.87)을 나타내었다. 이 연구는 톨루엔과 크실렌이 총 휘발성 유기화합물의 좋은 지표를 사용될 있고, 톨루엔, 에틸벤젠, 크실렌 등 많은 휘발성 유기화합물의 발생원은 실외뿐 아니라 실내에도 있음을 나타내고 있다.>10)의 $[^{18}F]F_2$를 얻었다. 결론: $^{18}O(p,n)^{18}F$ 핵반응을 이용하여 친전자성 방사성동위원소 $[^{18}F]F_2$를 생산하였다. 표적 챔버는 알루미늄으로 제작하였으며 본 연구에서 연구된 $[^{18}F]F_2$가스는 친핵성 치환반응으로 방사성동위원소를 도입하기 어려운 다양한 방사성의 약품개발에 유용하게 이용될 수 있을 것이다.었으나 움직임 보정 후 영상을 이용하여 비교한 경우, 결합능 변화가 선조체 영역에서 국한되어 나타나며 그 유의성이 움직임 보정 전에 비하여 낮음을 알 수 있었다. 결론: 뇌활성화 과제 수행시에 동반되는 피험자의 머리 움직임에 의하여 도파민 유리가 과대평가되었으며 이는 이 연구에서 제안한 영상정합을 이용한 움직임 보정기법에 의해서 개선되었다. 답이 없는 문제, 문제 만들기

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.245-260
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• 2011

Mobile Devices, which are developed with the fast growing of the Internet, have flexible internet accessibility and can access the network anywere so that they can execute software applications. However, it is very challenging to deploy highly complex applications on mobile devices since they have limited resources. To overcome the limitation, researches on applying a concept of services to mobile applications have been proposed. Android is one of the popular mobile platforms and is designed to effectively execute mobile applications on the mobile devices having limited resources. Since service-based Android applications, which adopt a concept of services and Android platform, invoke remote services and are built with Android-specific components, they are much different from traditional software applications. Consequently, it is not straightforward to apply object-oriented (OO) analysis and design methods to developing service-based Android applications, although they have been frequently applied to developing traditional applications. In this paper, we present a process to develop service-based Android mobile applications, which extends a traditional OO development process. First, we raise design issues to be considered in developing service-based Android applications. Then, to solve the issues, we present detailed guidelines for essential phases of OO-based development process that are customized to service-based Android applications. Finally, to show applicability of the process, we perform a case study. The proposed design process is effectively utilized as a set of guidelines to develop service-based Android applications more systematically and effectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.871-874
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• 2010

Needs for Smart Grid development are increasing all over the world as a solution to its problem according to depletion of energy resources, climatic and environmental rapidly change and growing demand for electrical power. Especially decentralized power is attracting world's attention. In this mood a new era for a unit scale of decentralized power environment is on its way in building. However there is a problem to have to be solved in the uniformity of power quality because the amount of power generated from renewable energy resources such as wind power and solar light is very sensitive to climate fluctuation. And thus this paper tries to suggest an energy management method on basis of real time monitoring for meteorological data. In the current situation of lacking in USN-based killer application in Smart Grid field, this paper proposes the USN-based DER management system which collects the meteorological data and control power system througout utilizing wireless sensor network technique this business. This communication technique is regarded to be efficient in aspects of installation cost and tits maintenance cost. The proposed EMS model embodies the method for predicting the power generation by monitoring and analyzing the climatic data and controling the efficient power distribution between the renewable energy and the existing power. The ultimate goal of this paper is to provide the technological basis for achieving zero-energy house.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.265-271
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• 2006

According to globalization of world economy by extension of production, sales and distribution all around the world and international transportation system changed into a transport system that puts great importance on speediness and value-added services, international transport system is changing into a Multimodal Transport Routing centered system that systematically connects marine, air and rail transports. Due to such changes production, sales and distribution must be provided in time and Multimodal Transport Routing, which can provide multi-dimensional logistics services to customers of global network, is needed but information connection for international transport and connection system between transport modes are insufficient and can not be activated. Especially in Korea, selection standard of 3rd party logistics companies and transport companies is presented, but logistics exclusive companies, which plan and execute the transportation, can't present a systematic evaluation standard for international Multimodal Transport Routing, selection. Thus, this research surveys important previous studies about Multimodal Transport Routing, selection, derives an evaluation standard for Multimodal Transport Routing, selection through interview with company officials, and presents a theoretical basis for Multimodal Transport Routing, selection through systematic analysis of Multimodal Transport Routing, selection using Analytical Hierarchy Process (AHP).

• Journal of Software Engineering Society
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• v.23 no.4
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• pp.151-163
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• 2010

In the defense software domain where large-scale software products in various application areas need to be built, reusing software is regarded as one of the important practices to build software products efficiently and economically. There have been many efforts to apply various methods to support software reuse in the defense software domain. However, developers in the defense software domain still experience many difficulties and face obstacles in reusing software assets. In this paper, we analyze practical problems of software reuse in the defense software domain, and define core requirements to solve those problems. To meet these requirements, we are currently developing the Component Grid system, a reuse-support system that provides a developer-centric software reuse environment. We have designed an architecture of Component Grid, and defined essential elements of the architecture. We have also developed the core approaches for developing the Component Grid system: a semantic-tagging-based requirement tracing method, a reuse-knowledge representation model, a social-network-based asset search method, a web-based asset management environment, and a wiki-based collaborative and participative knowledge construction and refinement method. We expect that the Component Grid system will contribute to increase the reusability of software assets in the defense software domain by providing the environment that supports transparent and efficient sharing and reuse of software assets.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.317-327
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• 2021

The purpose of this study is to identify the priority factors for sustainable management of social enterprises related to early childhood education. To achieve the purpose of this study, sustainable management factors were extracted by examining previous studies related to social enterprises, and the priorities of factors were derived using the AHP method after conducting surveys of those who are related to early childhood education and social enterprises. As a result of the study, the priorities of the four major factors for sustainable management of social enterprises were confirmed in the following order: strategic factors, organizational factors, management capability factors, and social environment factors. And the priorities of the 16 sub-factors were confirmed in the following order: program originality, excellence of program content, CEO's leadership, expertise in operation and education, securing information on early childhood education market, etc. This study is meaningful in that it discovered the basic success factors for the performance and sustainability of social enterprises related to early childhood education and suggested directions for establishing management strategies for social enterprises related to early childhood education.

• Geophysics and Geophysical Exploration
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• v.26 no.2
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• pp.62-76
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• 2023

Recently, machine learning (ML) techniques have been actively applied for seismic trace interpolation. However, because most research is based on training-inference strategies that treat missing trace gather data as a 2D image with a blank area, a sufficient number of fully sampled data are required for training. This study proposes trace interpolation using ML, which uses only irregularly sampled field data, both in training and inference, by modifying the training-inference strategies of trace-based interpolation techniques. In this study, we describe a method for constructing networks that vary depending on the maximum number of consecutive gaps in seismic field data and the training method. To verify the applicability of the proposed method to field data, we applied our method to time-migrated seismic data acquired from the Vincent oilfield in the Exmouth Sub-basin area of Western Australia and compared the results with those of the conventional trace interpolation method. Both methods showed high interpolation performance, as confirmed by quantitative indicators, and the interpolation performance was uniformly good at all frequencies.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.103-111
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• 2023

Consensus, that aims to converge the states of agents to the same states through information exchanges between agents, has been widely studied to control the multi-agent systems. In real systems, the measurement variables of each agent may be different, the loss of information across communication may occur, and the different networks for each state may need to be constructed for safety. Moreover, the input saturation and the disturbances in the system may cause instability. Therefore, this paper studies the PID(Proportional-Integral-Derivative)-based consensus control to achieve the swarm behavior of the multi-agent systems considering the heterogeneous state information, the input saturations, and the disturbances. Specifically, we consider the multiple follower agents and the single leader agent modeled by the second-order systems, and investigate the conditions to achieve the consensus based on the stability of the error system. It is confirmed that the proposed algorithm can achieve the consensus if only the connectivity of the position graph is guaranteed. Moreover, by extending the consensus algorithm, we study the formation control problem for the multi-agent systems. Finally, the validity of the proposed algorithm was verified through the simulations.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.687-692
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• 2024

The energy crisis is emerging as a serious problem around the world. In the case of Korea, there is great interest in energy efficiency research related to industrial complexes, which use more than 53% of total energy and account for more than 45% of greenhouse gas emissions in Korea. One of the studies is a study on saving energy through sharing facilities between factories using the same utility in an industrial complex called a virtual energy network plant and through transactions between energy producing and demand factories. In such energy-saving research, data collection is very important because there are various uses for data, such as analysis and prediction. However, existing systems had several shortcomings in reliably collecting time series data. In this study, we propose an intelligent IIoT platform to improve it. The intelligent IIoT platform includes a preprocessing system to identify abnormal data and process it in a timely manner, classifies abnormal and missing data, and presents interpolation techniques to maintain stable time series data. Additionally, time series data collection is streamlined through database optimization. This paper contributes to increasing data usability in the industrial environment through stable data collection and rapid problem response, and contributes to reducing the burden of data collection and optimizing monitoring load by introducing a variety of chatbot notification systems.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.113-130
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• 2002

In this paper, we developed DNL(Dynamic Network Loading) model based on Moving cell theory to analyze the dynamic characteristics of traffic flow in congested network. In this paper vehicles entered into link at same interval would construct one cell, and the cells moved according to Cell following rule. In the past researches relating to DNL model a continuous single link is separated into two sections such as running section and queuing section to describe physical queue so that various dynamic states generated in real link are only simplified by running and queuing state. However, the approach has some difficulties in simulating various dynamic flow characteristics. To overcome these problems, we present Moving cell theory which is developed by combining Car following theory and Lagrangian method mainly using for the analysis of air pollutants dispersion. In Moving cell theory platoons are represented by cells and each cell is processed by Cell following theory. This type of simulation model is firstly presented by Cremer et al(1999). However they did not develop merging and diverging model because their model was applied to basic freeway section. Moreover they set the number of vehicles which can be included in one cell in one interval so this formulation cant apply to signalized intersection in urban network. To solve these difficulties we develop new approach using Moving cell theory and simulate traffic flow dynamics continuously by movement and state transition of the cells. The developed model are played on simple network including merging and diverging section and it shows improved abilities to describe flow dynamics comparing past DNL models.