• 전자공학회논문지CI
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• 제38권5호
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• pp.58-64
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• 2001

현재 많은 정보들이 비디오 데이터로 전송 또는 저장되고 있으며 고성능 PC의 보급과 internet과 같은 통신망의 대중화로 이런 비디오 데이터는 급속도로 증가하고 있다. 본 논문에서는 이런 비디오 데이터의 검색을 위하여 비디오 스트립을 분석하여 shot을 찾아내고 이들 중 key frame을 찾는 방법에 대하여 연구하고 이로서 사용자의 질의에 부합하는 비디오를 검색한다. 본 논문에서는 shot 경계 검출을 위해 객체의 움직임에 강인하면서 shot 내에서의 칼라의 변화에 둔감한 새로운 feature를 제안하고, shot frame에서 구한 각 feature들의 통계적 특성을 이용하여 스트립의 특징에 따라 weight를 부가하여 구해진 characterizing value의 시간 변화량을 구한다. 구해진 변화량의 local maxima와 local minima는 비디오 스트림에서 각각 가장 특정적인 frame과 평균적인 frame을 나타낸다. 이 순간의 short frame을 구함으로서 효과적이고 빠른 시간 내에 key frame을 추출한다. 추출되어진 key frame에 대하여 원 영상을 복원한 후, 색인을 위하여 다수의 parameter를 구하고, 사용자가 질의한 영상에 대해서 이들 parameter를 구하여 key frame들과 가장 유사한 대표영상들을 검색한다. 실험결과 일반적인 방법보다 더 나은 결과를 보였고, 높은 검색율을 보였다.

• 해양환경안전학회지
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• 제20권3호
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• pp.277-284
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• 2014

This paper describes the application method of bumper area defined in the ship domain theory and it is to identify risky sectors in VTS(Vessel Traffic Services) area. The final goal of this work is to develop early warning system providing the location information with high traffic risks in Mokpo VTS area and to prevent the human errors of VTS Officer(VTSO). The current goal of this paper is to find evaluation and detection method of risky sectors. The ratio between overlapped bumper area of each vessels and the summing area of a designated sector, Ratio to Evaluate Risk(RER) ${\gamma}$ is used as one of evaluation and detection parameter. The usability of overlapped bumper area is testified through three kinds of scenarios for various traffic situations. The marine traffic data used in the experiments is collected by AIS(Automatic Identification System) receiver and then compiled in the SQL(Structured Query Language) Server. Through the analysis of passing vessel's tracks within the boundary of Mokpo VTS area, the total of 11 sectors are identified as evaluation unit sector. As experiment results from risk evaluation for the 11 sectors, it is clearly known that the proposed method with RER ${\gamma}$ can provide the location information of high risky sectors which are need to keep traffic tracks of vessel movements and to maintain traffic monitoring by VTSO.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2160-2179
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• 2015

In many Radio Frequency Identification (RFID) applications, the reader recognizes the tags within its scope repeatedly. For these applications, some algorithms such as the adaptive query splitting algorithm (AQS) and the novel semi-blocking AQS (SBA) were proposed. In these algorithms, a staying tag retransmits its ID to the reader to be identified, even though the ID of the tag is stored in the reader's memory. When the length of tag ID is long, the reader consumes a long time to identify the staying tags. To overcome this deficiency, we propose a slot allocated blocking anti-collision algorithm (SABA). In SABA, the reader assigns a unique slot to each tag in its range by using a slot allocation mechanism. Based on the allocated slot, each staying tag only replies a short data to the reader in the identification process. As a result, the amount of data transmitted by the staying tags is reduced greatly and the identification rate of the reader is improved effectively. The identification rate and the data amount transmitted by tags of SABA are analyzed theoretically and verified by various simulations. The simulation and analysis results show that the performance of SABA is superior to the existing algorithms significantly.

• 보건행정학회지
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• 제27권3호
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• pp.241-246
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• 2017

Background: The purpose of this study is to investigate the trends on the induced abortion in Korea using social big-data and confirm whether there was time series trends and seasonal characteristics in induced abortion. Methods: From October 1, 2007 to October 24, 2016, we used Naver's data lab query, and the search word was 'induced abortion' in Korean. The average trend of each year was analyzed and the seasonality was analyzed using the cosinor model. Results: There was no significant changes in search volume of abortion during that period. Monthly search volume was the highest in May followed by the order of June and April. On the other hand, the lowest month was December followed by the order of January, and September. The cosinor analysis showed statistically significant seasonal variations (amplitude, 4.46; confidence interval, 1.46-7.47; p< 0.0036). The search volume for induced abortion gradually increased to the lowest point at the end of November and was the highest at the end of May and declined again from June. Conclusion: There has been no significant changes in induced abortion for the past nine years, and seasonal changes in induced abortion have been identified. Therefore, considering the seasonality of the intervention program for the prevention of induced abortion, it will be effective to concentrate on the induced abortion from March to May.

• 한국산학기술학회논문지
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• 제16권11호
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• pp.7893-7901
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• 2015

공용중인 교량의 보다 안전하고 효율적인 유지관리를 위해서는 시간에 따른 교량 유지관리 정보의 수집과 분석이 중요하다. 교량관리시스템을 통한 안전하고 경제적인 관리를 위한 전략 수립의 기본이 되는 현장조사 정보의 신뢰도 및 획득의 편의성을 증진하기 위하여 교량 현장조사용 스마트폰 응용프로그램을 개발하고, 실 적용성을 확보하였다. 개발된 프로그램은 교량의 생애주기관리를 위한 교량관리시스템과 연계되어 유지관리 관련 정보의 조회, 수정, 전송 등이 실시간으로 가능하며, 현장조사 보고서의 자동 작성을 통해 업무를 크게 경감할 수 있을 것으로 판단된다. 본 프로그램을 이용한 점검은 편의성, 정확성 등의 향상, 정보의 지속가능성, 향후 활용성 등 직간접적으로 기대되는 가치향상 효과가 기존의 점검방법에 비해 매우 높을 것으로 기대된다.

• BMB Reports
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• 제39권4호
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• pp.441-447
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• 2006

Abuse of drugs can elicit compulsive drug seeking behaviors upon repeated administration, and ultimately leads to the phenomenon of addiction. We developed a procedure for the standardization of microarray gene expression data of rat brain in drug addiction and stored them in a single integrated database system, focusing on more effective data processing and interpretation. Another characteristic of the present database is that it has a systematic flexibility for statistical analysis and linking with other databases. Basically, we adopt an intelligent SQL querying system, as the foundation of our DB, in order to set up an interactive module which can automatically read the raw gene expression data in the standardized format. We maximize the usability of this DB, helping users study significant gene expression and identify biological function of the genes through integrated up-to-date gene information such as GO annotation and metabolic pathway. For collecting the latest information of selected gene from the database, we also set up the local BLAST search engine and non-redundant sequence database updated by NCBI server on a daily basis. We find that the present database is a useful query interface and data-mining tool, specifically for finding out the genes related to drug addiction. We apply this system to the identification and characterization of methamphetamine-induced genes' behavior in rat brain.

• Interdisciplinary Bio Central
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• 제3권2호
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• pp.7.1-7.6
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• 2011

Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

• 한국정보통신학회논문지
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• 제19권12호
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• pp.2968-2974
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• 2015

선형/가산 CA에서 끌개는 패턴인식, 패턴 분류 또는 연관기억장치 디자인, 질문처리기 등과 같은 분야에서 활용되고 있기 때문에 이를 어떻게 찾을 수 있는지는 주요한 연구 대상이 되어 왔다. 그러나 복잡한 현실을 모델링하고 그 해결방안을 모색하기 위해서는 비선형 CA의 도입이 불가피하게 되었다. 본 논문에서는 RMT를 개선한 CLT를 도입하여 비선형 CA의 끌개와 도달불가능 상태를 효율적으로 찾는 방법을 제시한다.

• Journal of Information Processing Systems
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• 제13권5호
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• pp.1372-1381
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• 2017

In this paper, a texture feature extraction method using local energy and local correlation of Gabor transformed images is proposed and applied to an image retrieval system. The Gabor wavelet is known to be similar to the response of the human visual system. The outputs of the Gabor transformation are robust to variants of object size and illumination. Due to such advantages, it has been actively studied in various fields such as image retrieval, classification, analysis, etc. In this paper, in order to fully exploit the superior aspects of Gabor wavelet, local energy and local correlation features are extracted from Gabor transformed images and then applied to an image retrieval system. Some experiments are conducted to compare the performance of the proposed method with those of the conventional Gabor method and the popular rotation-invariant uniform local binary pattern (RULBP) method in terms of precision vs recall. The Mahalanobis distance is used to measure the similarity between a query image and a database (DB) image. Experimental results for Corel DB and VisTex DB show that the proposed method is superior to the conventional Gabor method. The proposed method also yields precision and recall 6.58% and 3.66% higher on average in Corel DB, respectively, and 4.87% and 3.37% higher on average in VisTex DB, respectively, than the popular RULBP method.

• Spatial Information Research
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• 제12권1호
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• pp.57-71
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• 2004

이 토지 컨설팅 정보 시스템(Land Consulting Information System)은 토지에 건축, 형질 변경 등 개발행위와 관련하여 구입토지의 선정에서부터 개발의사결정에 이르는 여러가지 토지법률정보, 요구토지의 입지조건정보, 개발목적에 부합하는 토지의 분포정보, 매매나 세입 관련 부동산 정보 등 사람들의 다양한 요구조건과 의사결정 요소들을 컴퓨터 시스템을 통해 질의하고 검색, 분석함으로서 경제적이고 신속한 정보의 취득과 이를 통한 신뢰성 있는 개발과 구입의 의사결정 정보를 제공(지원)하기위한 목적에서 개발되었다. 시스템 기능의 인지도를 향상시키기 위해 "ALGOSA" 라 별칭의 로고를 부여하였으며, 일반 개인은 물론 현존하는 전국의 수만 업체에 이르는 부동산사무소(공인 중개사), 측량설계사무소, 건축설계사무소, 전문토지개발회사 등 컨설팅 업체를 중심으로 시스템 보급의 필요성이 기대되며, 나아가 지방자치단체의 개발관련 인허가부서에서도 이 시스템을 도입함으로서 개발행위 인허가 토지의 체계적 관리는 물론 불법 개발행위 단속과 객관적인 공시지가부여 기준제시를 위한 실제 토지이용 정보제공 등 폭넓은 시스템 도입의 효과가 기대된다.