• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.305-305
• /
• 2021

XP-SWMM은 EAP-SWMM의 Runoff 기능을 보완하고 2D 해석 기능을 새롭게 추가하여 만든 외산(XP Solutions) 프로그램으로 도시유역 유출량 산정, 우수관거 추적 등과 같은 모의가 가능한 종합 모형이다. 그 중 2차원 분석 기능(2D XP-SWMM)은 연산 결과를 Tu-Flow 모형에 대입한 도시침수 해석모형으로 실무에서 주로 사용되고 있다. 그러나 XP-SWMM은 수량 부분 외에도 수질 부분의 다양한 모형이 통합되어 있어 라이센스 가격이 상당히 높고, 국내 환경에 적합한 모형 수정 등 기술지원을 받기 어렵다는 단점을 갖고 있다. 또한, 실무 활용성이 높은 2차원 분석기능의 경우 모의에 소요되는 시간이 크다는 한계점을 갖고 있다. 2D XP-SWMM 연산의 소요시간이 큰 주요 원인은 계산 시간간격마다 큰 셀수의 행렬 계산을 반복하기 때문이며, 격자를 촘촘하게 설정할수록(행렬의 수가 증가할수록) 수치해석에 소요되는 시간은 기하급수적으로 늘어나게 된다. 2D XP-SWMM 연산은 편미분방정식을 계산하는 모형으로 반복법을 채택하고 있기 때문에 짧은 시간내에 침수해석을 진행해야하는 웹기반 초단기 홍수예경보 시스템 등에 활용하기에는 적합하지 않다. 본 연구에서는 2D XP-SWMM 보다 연산속도를 향상시킨 2차원 도시침수 모형을 개발하였다. 기존 XP-SWMM 중심의 실무 적용성을 유지하고자 XP-SWMM과 동일하게 EPA-SWMM 엔진을 활용하였고 DEM 기반의 지표수 흐름방향 결정 알고리즘을 결합하였다. 본 연구에서 개발한 도시침수 모형 결과를 울산광역시, 청주시 등 도심지에서 발생한 과거 침수피해의 양상과 비교하여 그 타당성을 검증하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.367-369
• /
• 2022

With the development of web technology, the web provides customized information that meets the needs of users. Information is provided according to the input form and the user's query, and a web service that provides information that is difficult to search with a search engine is called an in-depth web. These deep webs contain more information than surface webs, but it is difficult to collect information with general crawling, which collects information at the time of the visit. The deep web provides users with information on the server by running script languages such as javascript in their browsers. In this paper, we propose an algorithm capable of exploring dynamically changing websites and collecting information by analyzing scripts for deep web collection. In this paper, the script of the bulletin board of the Korea Centers for Disease Control and Prevention was analyzed for experiments.

• Journal of Digital Convergence
• /
• v.11 no.8
• /
• pp.199-204
• /
• 2013

Computational fluid dynamics (CFD) is used to reduce number of experiments. The CFD tools are widely used for engine design and flow pattern analysis to reduce experiments. In this study the performance of a PEMFC single cell was analyzed by using STAR-CD, product of CD-ADAPCO. The effect of cell design and flow pattern on the performance of a PEMFC was analyzed with the 3-D simulation. As a result the performance of rectangular cell was the higher than that of square cell, while the flow direction scarcely affected on the performance of a PEMFC. Also the current density according to different excess ratio of air flow rate was compared and analyzed. The difference between maximum and minimum current density of flip-flow was lower than that of co-flow.

• Spatial Information Research
• /
• v.23 no.1
• /
• pp.69-77
• /
• 2015

The aim of this study is to examine the research trends of global scientific production of Geospatial Information (GI) papers from 1998 to 2013 by using keyword network analysis. This study constructed keyword network model through papers and keywords related to GI research retrieved from the Web of Science DB and performed keyword network analysis such as Degree Centrality, Betweenness Centrality, and Closeness Centrality. The results show that GI has been steadily applied to various fields, and also the research trends of GI techniques could be quantitatively characterized through keyword network analysis. This study result can be applied to establish the policies and the national R&D planning of geospatial information.

• The Journal of the Korea Contents Association
• /
• v.17 no.8
• /
• pp.454-462
• /
• 2017

The purpose of this study was to explore the lonely-death phenomenon and to understand the circumstances surrounding the lonely-death cases among elderly people by examining the articles on such phenomenon and the media reports of such cases. The cases of lonely death reported from 2007 to 2017 were used. Case analysis was conducted, and the news articles that described the lonely death cases were identified using an internet search engine. Forty seven cases were analyzed. Several risk factors emerged from the data obtained, such as economic hardship, chronic illness, mental health problems like alcohol addiction, social isolation, disconnection from family members or the neighborhood, unemployment, single household, unmarried or divorced status, and living in an urban area. Based on the findings, prevention strategies were addressed.

• The KIPS Transactions:PartD
• /
• v.12D no.2 s.98
• /
• pp.247-258
• /
• 2005

Protein structure is highly related to its function and comparing protein structure is very important to identify structural motif, family and their function. In this paper, we construct an integrated database system which has all the protein structure data and their literature. The structure queries from the web interface are compared with the target structures in database, and the results are shown to the user for future analysis. To constructs this system, we analyze the Flat-File of Protein Data Bank. Then we select the necessary structure data and store as a new formatted data. The literature data related to these structures are stored in a relational database to query the my kinds of data easily In our structure comparison system, the structure of matched pattern and RMSD valure are calculated, then they are showed to the user with their relational documentation data. This system provides the more quick comparison and nice analyzing environment.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.10
• /
• pp.105-112
• /
• 2010

In this paper, the bio-signals, such as EEG, ECG were measured with a sensor and their characters were drawn out and analyzed. With results from the analysis, four emotion of rest, concentration, tension and depression were inferred. In order to assess one's emotion, the characteristic vectors were drawn out by applying various ways, including the frequency analysis of the bio-signals like the measured EEG and HRV. RBFN, a neural network of the complex structure of unsupervised and supervised learning, was applied to classify and infer the deducted information. Through experiments, the system suggested in this thesis showed better capability to classify and infer than other systems using a different neural network. As follow-up research tasks, the recognizance rate of the measured bio-signals should be improved. Also, the technology which can be applied to the wired or wireless sensor measuring the bio-signals more easily and to wearable computing should be developed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.29 no.1
• /
• pp.325-332
• /
• 2005

As ship builder companies have a tendency to pursuit the effect of scale economy, recently the ultra-large sized container ship is discussed very actively among them. It is expected that these situation will be continued for the time being. The need of accommodation re-arrangement is carefully proposed according to the tendency of ultra-large sized ship. In this paper, accommodation re-arrangement of ultra-large container ship is examined in the view of economy. We proposed separation of engine room and accommodation part through review and supplementaition of drawing generation in intial design stage. Also we investigated its merits and demerits to find out whether it can be realized or not in the view of economical efficiency. The RFR(Required Freight Rate) is considered as the objective function to evaluate the re-designed vessel. The economical benefits for increasing the number of TEU(Twenty-foot Equivalent Units)'s and the re-arranged space are analyzed in the view of ship owner and shipyards respectively.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2011.05a
• /
• pp.375-375
• /
• 2011

유역에서 강우에 따라 유출이 발생하면 지표면을 따라 하천으로 유입되거나, 땅속으로 침투하여 깊은 대수층으로 유입되던지 기저유출 형태로 하천으로 유입된다. 이렇듯 하천을 구성하는 중요 두 가지 요소인 직접유출량과 기저유출량을 정확히 산정하는 것이 유역 수자원관리 및 비점오염원 관리에 매우 중요한 부분이라 할 수 있다. 그동안 하천에서 측정된 유출량에서 직접유출과 기저유출을 분리하기 위한 많은 연구가 진행되어 왔으며, 최근에는 주관적인 면을 배제하고 장기실측 유량자료를 이용하여 기저유출을 분리할 수 있는 BFlow, HYSEP, PART, RORA, RECESS, 디지털 필터링 모형 등 많은 프로그램들이 개발되어 활용되어 오고 있다. 또한 최근에는 인터넷을 통해 활용할 수 있는 Web 기반 WHAT 프로그램이 개발되어 전 세계적으로 널리 활용되고 있다. 이에 본 연구에서는 XML 프로그래밍 기법을 이용하여 WHAT 프로그램을 확장한 Expaned XML-based WHAT (EX-WHAT) 시스템 (http://www.EnvSys.co.kr/~exwhat)을 개발 하였다. 기존의 시스템에서는 USGS 일유량자료를 URL을 통해 WHAT 서버에 저장한 후 이를 가공하여 수문 분석을 수행하였으나, 이번 연구를 통해서 개발된 시스템은 XML/Parser를 이용하여 USGS 서버에 저장되어 있는 일유량자료를 바로 읽어서 수문분석을 수행할 수 있게 되었다. 이 EXWHAT 시스템에는 BFlow, HYSEP, PART, Digital Filters 와 같은 엔진이 사용되고 있다. 본 연구에서 개발된 EX-WHAT 분석결과는 XML 형식으로 제공되고 있기 때문에, 다른 Web/Desktop 기반의 관련 프로그램에서 바로 활용될 수 있을 것이라 판단된다. 특히 EX-WHAT 분석결과는 유역관리, 기저유출을 통한 비점오염원 관리 평가, 지속가능한 지하수 고나리 등 다양한 수문/비점오염 연구/실무에 활용될 수 있을 것이라 판단된다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.33 no.11B
• /
• pp.1013-1019
• /
• 2008

Recently, various information and data are efficiently used by the rapid growth of its Internet in our real life. But, users have spent lots of time finding necessary information for the increased amounts of information. To solve this problem, it can be provided the speed, accuracy of information search with development of intelligent search engines, agent system etc. In this paper, we propose the method of getting the best tender price in the analysis of the construction bid information that needs its professionalism by on the purpose to maximize users' satisfaction. Of course, if it is not under the unit of a results in the future, we put target of this paper on part to heighten supreme successful bid success rate. Therefore, this paper embodies offered system of web based on producing tender price of most suitable through techniques to produce tender price about successful bid that compare with bidder fare by statistical analysis incidental and value approaching successful bidder fare by frequency analysis method.