• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.11-18
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• 2009

Ajax based on Java Script receives attention as an alternative to ActiveX technology. Most portal sites in korea show a tendency to reopen existing services by combining the technology, because it supports most web browsers, and has the advantages of such a brilliant interface, excellent speed, and traffic reduction through asynchronous interaction. This paper modeled and implemented a multilingual meta-search service using the Ajax and open APIs provided by international famous sites. First, a Korean query is translated into one of the language of 54 countries around the world by Google translation API, and then the translated result is used to search the information of the social web sites such as Flickr, Youtube, Daum, and Naver. Searched results are displayed fast by dynamic loading of portion of the screen using Ajax. Our system can reduce server traffic and per-packet communications charges by preventing redundant transmission of unnecessary information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.388-390
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• 2021

This paper introduces a system that can help visually impaired people to board a bus using an embedded board with keypad, dot matrix, lidar sensor, NFC reader, a public data portal Open API system, and deep learning algorithm (YOLOv5). The user inputs the desired bus number through the NFC reader and keypad, and then obtains the location and expected arrival time information of the bus through the Open API real-time data through the voice output entered into the system. In addition, by displaying the bus number as the dot matrix, it can help the bus driver to wait for the visually impaired, and at the same time, a deep learning algorithm (YOLOv5) recognizes the bus number that stops in real time and detects the distance to the bus with a distance detection sensor such as lidar sensor.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.539-542
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• 2006

According as acceptance an order results of plant industry increases, ability of plant project management is required and necessity about information technology is augmented. For required information technology, developing information present conditions that consist of partial or unit system of domestic plant companies by synthetic system, development of systematic plant information system that supply standard direction presentation, tools and know-how about information technology need. This study achieved basic research that set information strategy and target by reflect trend of such plant industry, analyze future IT technology trend, international information environment, policy trend etc. and execute SWOT analysis of plant information system through this and present confrontation ways. It is presented confrontation ways by SWOT analysis through this research; (1) Development of education contents that can come forth competent person of plant industry, (2) Practical use of communication means that can offer by real time about informations connected with plant, (3) Offer of knowledge contents that supply various and useful inside and outside of the country's plant knowledge

• Journal of the Korean Society for Library and Information Science
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• v.45 no.4
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• pp.139-155
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• 2011

The failure of distinguishing homographs in describing relations of individual authors and relations of authorship(i.e. distinction of persons with the same name or persons of the same literary author's name) will cause difficulties of retrieving exact information. It is because relations of automorphism cannot be formed between the two sets mentioned above. Therefore, it is ultimately necessary to set up the criteria or tools to distinguish homographs in order to retrieve more exact information. In the past, some efforts were made to develop authority data in order to solve the homograph problems by individual libraries, documents and portal sites in Korea. It is well understood that developing authority data by an individual institution was very difficult with no criteria or no rules to clarify the homograph problems at the national level. This study is to develop ways of recognizing individual names including subject words and proper nouns. The results of the study will present methods of distinguishing and describing homographs between individual author sets, and authorship sets particularly focused on the areas of arts and popular culture.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.488-495
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• 2014

The national defense electronic procurement system is an information system supporting DAPA, services (Army, Navy and Air Force), and the procurement companies in the electronic bidding. It has contributed greatly to improving the efficiency of the national defense electronic procurement process by providing various information services based on inter-operation among the related parties. However the national defense electronic procurement system is expected to be upgraded to the next version in accord with rapidly evolving infrastructure based on high technology and increasing various communication channels. This paper investigates the satisfaction level of the system users and proposes directions for the next-generation procurement portal.

• KIISE Transactions on Computing Practices
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• v.22 no.5
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• pp.246-251
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• 2016

Recently, the influence of SNS and online media is rapidly growing with a consequent increase in the interest of marketing using these tools. Blog marketing can increase the ripple effect and information delivery in marketing at low cost by prioritizing keyword search results of influential portal sites. However, because of the tough competition to gain top ranking of search results of specific keywords, long-term and proactive efforts are needed. Therefore, we propose a new method that recommends associated keyword groups with the possibility of higher exposure of the blog. The proposed method first collects the documents of blog including search results of target keyword, and extracts and filters keyword with higher association considering the frequency and location information of the word. Next, each associated keyword is compared to target keyword, and then associated keyword group with the possibility of higher exposure is recommended considering the information such as their association, search amount of associated keyword per month, the number of blogs including in search result, and average writhing date of blogs. The experiment result shows that the proposed method recommends keyword group with higher association.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.447-467
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• 2018

Biographical information about people is usually collected and provided by a company or an institute which has a specific standard to select people for service. Recently, user oriented contents service like Wikipedia has started biographical information service, Wikipedia Biography Portal, in which users select people and freely describe about them. This study collected 500 biographical data from three categories of Wikipedia biography portal such as criminals, faculty, and directors. The contents of data from each category were analyzed with the word frequency and the divergence indicator to identify the characteristics of each category. As a result, divergency indicator is effective to represent the differential factors of each category. This study provides word clouds of top 100 word with divergence indicator and top 100 common words of three categories with word frequency as a guide for users to write about a person in these categories and for editors to accept and monitor the biography from users.

• The Korean Journal of Archival Studies
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• no.49
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• pp.77-119
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• 2016

A modern architectural building is a cultural heritage, which is also part of our history until the present. Documentation is thus considered an irreplaceable method to preserve our cultural heritage as it may be the last resort of preservation. The study analyzed the Historic American Buildings Survey (HABS) on the Heritage Documentation Programs of the National Park Service. Based on the analysis of the comparison and documentation of the modern architectural building implemented by the Cultural Heritage Administration, the study suggested improvement plans from three different perspectives. First, specifically detailed regulations of the legal system are supposed to be used for the implementation of the documentation of modern architectural buildings. Second, it is suggested that a general plan for continuous documentation be made. Last, by setting up a collection method, an information service needs to be provided for the public.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.14-14
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• 2020

일반적으로 수문빈도해석은 치수계획 수립에 이용되는 설계강수량, 계획홍수량 등을 산정하기 위해 연최대치계열 또는 연초과치계열 자료를 이용한 극치빈도해석을 수행하고, 확률분포의 우측꼬리(right tail) 부분을 이용하여 확장된 재현기간에 해당하는 확률수문량을 추정한다. 하지만 가뭄 관련 분석에서는 확률분포의 좌측꼬리(left tail) 부분은 이용해 확장된 재현기간별 확률수문량을 추정해야할 경우가 발생한다. 또한 물관리 실무에서 장 단기 운영계획 수립을 위해 이용하는 갈수빈도 유입량 산정 등에서도 평년보다 작은 수문량에 대한 빈도해석이 필요한 경우가 있다. 국가 가뭄정보분석센터에서는 기존에 K-water연구원에서 개발한 빈도해석 프로그램인 K-FAT의 분석모듈을 이용해 극소치계열 또는 갈수빈도 유입량 분석에 특화된 가뭄빈도해석 프로그램을 개발하였다. 본 프로그램은 GEV, Gumbel, Weibull 등 14개의 확률분포형을 포함하며, 모멘트법, 최우도법 및 L-모멘트법을 사용하여 매개변수를 추정한다. 적합도 검정의 경우 χ², K-S, CVM, PPCC 및 수정 Anderson-Darling test를 이용하여 다각적인 검정을 할 수 있도록 하였다. 분석을 위한 입력 자료의 경우 사용자가 전처리를 통해 준비한 연최소치계열 등 연도별 시계열자료를 이용할 수 있으며, 일단위 및 월단위의 강수량 또는 댐 유입량 자료를 이용해 사용자가 원하는 기간의 누적강수량, 평균 유입량으로 변환할 수 있는 자료변환 기능을 추가하여 실무 활용성을 높였다. 또한 최적 확률분포 선정을 위해 참고할 수 있도록 AIC(Akaike information criteria)와 BIC(Bayesian information criteria) 분석이 포함되어 있으며, Bootstrap 기법 등을 이용한 불확실성 산정을 통해 추정 값의 신뢰구간을 표시하도록 하였다. 개발된 프로그램은 베타버전 시험배포를 거쳐 가뭄정보포털을 통해 배포할 예정이다.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.25-37
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• 2024

This study proposes a novel automation system that integrates Optical Character Recognition (OCR) and Retrieval-Augmented Generation (RAG) technologies to enhance the efficiency of the ESG (Environmental, Social, and Governance) document review process. The proposed system improves text recognition accuracy by applying an ensemble model-based image preprocessing algorithm and hybrid information extraction models in the OCR process. Additionally, the RAG pipeline optimizes information retrieval and answer generation reliability through the implementation of layout analysis algorithms, re-ranking algorithms, and ensemble retrievers. The system's performance was evaluated using certificate images from online portals and corporate internal regulations obtained from various sources, such as the company's websites. The results demonstrated an accuracy of 93.8% for certification reviews and 92.2% for company regulations reviews, indicating that the proposed system effectively supports human evaluators in the ESG assessment process.