• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2004년도 The 3rd Annual Conference for The Korean Society for Bioinformatics Association of Asian Societies for Bioinformatics 2004 Symposium
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• pp.181-190
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• 2004

The docking and in silico ligand screening procedures can select small sets of lead -like candidates from large libraries of either commercially or synthetically available compounds; however, the vast number of such molecules make the potential size of this task enormous. To accelerate the discovery of drugs to inhibit several targets, we have exploited massively distributed computing to screen compound libraries virtually. The Korea@HOME project was launched in Feb. 2002, and one year later, more than 1200 PC's have been recruited. This has created a 31 -gigaflop machine that has already provided more than 1400 hours of CPU time. It has all owed databases of millions of compounds to be screened against protein targets in a matter of days. Now, the virtual screening software suitable for distributed environments is developed by BMD. It has been evaluated in terms of the accuracy of the scoring function and the search algorithm for the correct binding mode.

• 경영과정보연구
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• 제4권
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• pp.29-66
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• 2000

The current economic environmental changes such as globalization, information and opening of the market is calling for or needing the more rapid change of management and/or marketing strategies of the company than they did before to survive in tile borderless international competition. Under this situation, this study focuses on the correspondence strategies of Electronic Commerce which is one of the key elements to overcome or lead the above demands through seeking the problems of the current EC acception and application specially in Chollabuk Do province. For the above purpose, this study surveys the questionary with business firms of above area and figures out what is the correlation between business form and size and EC acception and application and what is the problems on it. And than provides several counter strategies which are following based on the survey to keep this area companies from out of business and lead the above economic environmental changes. To expand the adoption and application of EC to this area, firstly, top managers of the company must recognize the necessity and importance of EC compared with traditional commerce and change their perception and attitude concerning EC positively, and than try to accept it as soon as possible. Secondly, the company need the retained earning to invest to EC and educate their managers and employees with total participation. Thirdly, local government has to improve its attention to EC as a best way or opportunity to reduce and overcome the economical gap and development its economy because EC can remove the physical time or distance and space, scale and capital limitations. Finally, government has to expand and establish information infrastructure such as technical infrastructure(communication and security technology), Functional infrastructure like standard protocol, Organizational infrastructure(interchange agreement, relative law) and social infrastructure to improve efficient electronic transaction which can Increase the company' international compatitiveness under the current economy trend.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.4191-4211
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• 2019

Software product lines (SPLs) are complex software systems by nature due to their common reference architecture and interdependencies. Therefore, any form of evolution can lead to a more complex situation than a single system. On the other hand, software product lines are developed keeping long-term perspectives in mind, which are expected to have a considerable lifespan and a long-term investment. SPL development organizations need to consider software evolution in a systematic way due to their complexity and size. Addressing new user requirements over time is one of the most crucial factors in the successful implementation SPL. Thus, the addition of new requirements or the rapid context change is common in SPL products. To cope with rapid change several researchers have discussed the evolution of software product lines. However, for the evolution of an SPL, the literature did not present a systematic process that would define activities in such a way that would lead to the rapid evolution of software. Our study aims to provide a requirements-driven process that speeds up the requirements engineering process using social network sites in order to achieve rapid software evolution. We used classification, topic modeling, and sentiment extraction to elicit user requirements. Lastly, we conducted a case study on the smartwatch domain to validate our proposed approach. Our results show that users' opinions can contain useful information which can be used by software SPL organizations to evolve their products. Furthermore, our investigation results demonstrate that machine learning algorithms have the capacity to identify relevant information automatically.

• 한국산업경영시스템학회:학술대회논문집
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• 한국산업경영시스템학회 2002년도 춘계학술대회
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• pp.387-396
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• 2002

Batch processes are a significant class of processes in the process industry and play an important role in the production of high quality speciality materials. Examples include the production of semiconductors, chemicals, pharmaceuticals, and biochemicals. With on-line sensors connected to most batch processes, massive amounts of data are being collected routinely during the batch on easily measured process variables such as temperatures, pressures, and flowrates. In this paper, multivariate SPC charts for on-line monitoring of the progress of new batches are developed which utilize the information in the on-line measurements in real-time. We propose the formation of statistical model which describes the normal operation of a batch at each time interval during the batch operation. An on-line monitoring scheme based on the proposed method can handle both cross-correlation among process variables at any one time and auto-correlation over time. And the control limits for the monitoring charts are established from sound statistical framework unlike previous researches which use the external reference distribution. The proposed charts perform real-time, on-line monitoring to ensure that the batch is progressing in a manner that will lead to a high-quality product or to detect and indicate faults that can be corrected prior to completion of the batch. This approach is capable of tracking the progress of new batch runs, identifying the time periods in which the fault occurred and detecting underlying cause.

• 대한전자공학회논문지TC
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• 제40권12호
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• pp.94-105
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• 2003

광 버스트 스위칭 망에서는 헤더정보와 버스트 정보를 분리하여 offset 시간 후에 버스트를 전송하는 One-Way reservation 특성을 가지고 있다. 그러므로 링크 장애와 같은 망 장애가 발생하였을 경우 offset 시간의 영향으로 선행된 헤더 정보에 대한 버스트의 추가적인 손실이 발생하여 심각한 서비스 품질 저하를 초래할 수 있다. 이에 본 논문에서는 망 장애 발생 시 광 버스트 스위칭의 가장 큰 특징인 offset 시간이 버스트 손실에 미치는 영향과 기존 장애 복구 기법을 사용하였을 경우 offset 시간에 따른 버스트 손실을 수학적 관점에서 분석하였다. 또한 offset 시간 영향으로 링크 장애 발생 시 선행된 제어 패킷으로 인해 후 행하는 버스트 손실을 최소화할 수 있는 QoS를 고려한 offset 시간 기반의 새로운 장애 복구 기법을 제안하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.150-150
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• 2018

The Numerical Weather Prediction (NWP) models provide information for weather forecasts. The highly nonlinear and complex interactions in the atmosphere are simplified in meteorological models through approximations and parameterization. Therefore, the simplifications may lead to biases and errors in model results. Although the models have improved over time, the biased outputs of these models are still a matter of concern in meteorological and hydrological studies. Thus, bias removal is an essential step prior to using outputs of atmospheric models. The main idea of statistical bias correction methods is to develop a statistical relationship between modeled and observed variables over the same historical period. The Model Output Statistics (MOS) would be desirable to better match the real time forecast data with observation records. Statistical post-processing methods relate model outputs to the observed values at the sites of interest. In this study three methods are used to remove the possible biases of the real-time outputs of the Weather Research and Forecast (WRF) model in Imjin basin (North and South Korea). The post-processing techniques include the Linear Regression (LR), Linear Scaling (LS) and Power Scaling (PS) methods. The MOS techniques used in this study include three main steps: preprocessing of the historical data in training set, development of the equations, and application of the equations for the validation set. The expected results show the accuracy improvement of the real-time forecast data before and after bias correction. The comparison of the different methods will clarify the best method for the purpose of the forecast skill enhancement in a real-time case study.

• 대한안전경영과학회지
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• 제24권4호
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• pp.149-156
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• 2022

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

• 한국언론정보학보
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• 제34권
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• pp.306-340
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• 2006

휴대전화의 확산은 '이동 중 연결성'과 '상호작용성'을 증대시킴으로써 공간을 새롭게 구성하고 활성화할 것으로 주장되고 있다. 또 다른 한편에서는 공적 공간을 사사화함으로써 공간 규범을 파괴하는 것으로 이야기되어지고 있다. 이에 본 연구에서는 휴대전화의 이용으로 공간의 인식과 행태, 그리고 공적 공간의 역할에서 어떠한 변화가 나타나는지를 살펴보고자 하였다. 이론적 검토와 실증적 조사 분석의 연구 결과, 첫 번째로 살펴본 시공간의 미시적 조정과 다의적 장소성을 통하여 휴대전화의 이용이 고정된 장소의 논리를 벗어나 조정과 활용이 가능한 공간이라는 인식을 변화시키는 것으로 나타났다. 두 번째로 살펴본 모바일 친구와의 항시적 연결성을 통하여 휴대전화의 이용이 공간적 공존과 분위상의 공유로 공간에서의 사회적 행태를 변화시키는 것으로 관찰되었다. 세 번째로 살펴본 공적 공간의 의미와 역할 변화를 통하여 휴대전화의 이용행태는 공간적 특성에 지배적이며, 공간의 의미와 인식 변화에 따른 공간적 규범이 정착될 것으로 분석되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1862-1878
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• 2011

With the advances in wireless communication technology and the advent of smartphones, research on location-based services (LBSs) is being actively carried out. In particular, several spatial index methods have been proposed to provide efficient LBSs. However, finding an optimal indexing method that balances query performance and index size remains a challenge in the case of wireless environments that have limited channel bandwidths and device resources (computational power, memory, and battery power). Thus, mechanisms that make existing spatial indexing techniques more efficient and highly applicable in resource-limited environments should be studied. Bitmap-based Spatial Indexing (BSI) has been designed to support LBSs, especially in wireless broadcast environments. However, the access latency in BSI is extremely large because of the large size of the bitmap, and this may lead to increases in the search time. In this paper, we introduce a Selective Bitmap-based Spatial Indexing (SBSI) technique. Then, we propose an Adaptive Bitmap-based Spatial Indexing (ABSI) to improve the tuning time in the proposed SBSI scheme. The ABSI is applied to the distribution of geographical objects in a grid by using the Hilbert curve (HC). With the information in the ABSI, grid cells that have no objects placed, (i.e., 0-bit information in the spatial bitmap index) are not tuned during a search. This leads to an improvement in the tuning time on the client side. We have carried out a performance evaluation and demonstrated that our SBSI and ABSI techniques outperform the existing bitmap-based DSI (B DSI) technique.

• 한국정보통신학회논문지
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• 제25권3호
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• pp.456-463
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• 2021

본 연구에서는 군집 드론 시스템에서 이동 드론의 충돌방지를 위해 레이다를 도입하였다. 드론은 비행 중 불규칙한 속도 변화로 인해 반사파의 클러터가 증가되어 탐지 성능이 저하되고 이로 인해 충돌 방지 레이다의 성능에 영향을 준다. 본 논문에서는 UWB(Ultra Wide-Band) 레이다를 적용하여 비행하는 드론을 탐지하고, 반사파 신호 분석을 통해 획득한 거리 및 속도 정보의 정확도를 개선하는 방안을 제시한다. 이동 드론의 속도 변화에 따른 속도 감응형 CFAR(Constant False Alarm Rate)를 구현하여 오경보율을 일정하게 유지하면서 클러터를 효과적으로 제거하는 방안을 구현한다. 알고리즘의 검증을 위해 실제 상용 드론에 대한 레이다 관측 실험을 수행하고 불규칙하게 비행하는 드론의 탐지 성능이 개선됨을 보인다.