• Journal of the Korean Geotechnical Society
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• v.37 no.11
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• pp.119-129
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• 2021

The process of constructing the DB in the current geotechnical information DB system needs a lot of human and time resource consumption. In addition, it causes accuracy problems frequently because the current input method is a person viewing the PDF and directly inputting the results. Therefore, this study proposes building an automatic digital DB using AI (artificial intelligence) of boring logs. In order to automatically construct DB for various boring log formats without exception, the boring log forms were classified using the deep learning model ResNet 34 for a total of 6 boring log forms. As a result, the overall accuracy was 99.7, and the ROC_AUC score was 1.0, which separated the boring log forms with very high performance. After that, the text in the PDF is automatically read using the robotic processing automation technique fine-tuned for each form. Furthermore, the general information, strata information, and standard penetration test information were extracted, separated, and saved in the same format provided by the geotechnical information DB system. Finally, the information in the boring log was automatically converted into a DB at a speed of 140 pages per second.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.3
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• pp.369-376
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• 2014

Recent climate change and ensure each country's marine fisheries resources due to the sharp decline to address the eco-friendly farming has emerged. Marine aquaculture operations to provide ease of use for the fishing ship cranes. In this paper, we use the default handler for the shipping cranes and improve the working environment of the received video equipment in the work area through the monitoring and analysis of visual information to optimize the image, convenient and high visibility for workers to have real-time video guide system is proposed.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.151-159
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• 2021

To derive grid lines for analyzing a table layout, line image enhancement techniques are studying such as various filtering or morphology methods. In spite of line image enhancement, it is still hard to extract line components and to express table cell's layout logically in which the cutting points are exist on the line or the tables are skewing . In this paper, we proposed a line tracking algorithm to extract line components under the cutting points on the line or the skewing lines. The table document layout analysis algorithm is prepared by searching grid-lines, line crossing points and gird-cell using line tracking algorithm. Simulation results show that the proposed method derive 96.4% table document analysis result with average 0.41sec processing times.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.489-490
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• 2021

본 연구에서는 해양사고 처리 중 발생하는 인명사고 발생률을 감소시키고, 효율적으로 양식장을 관리하는 것을 전제로 카메라와 센서를 다기능 해양탐사 로봇에 적용하고자 한다. 현재의 양식장 관리 시스템은 수온 체크만 할 수 있게 되어있다. 이러한 시스템은 양식어에게 적합한 환경을 제공해주기 쉽지 않다. 본 논문은 이러한 문제점들을 개선하기 위해 기존의 해양 처리시스템과 양식 시스템 대신 카메라와 수온 센서, pH 농도 센서, 초음파 거리 센서, DC 모터, 블루투스 모듈을 적용한 다기능 해양탐사 로봇 기술을 제안한다. 기존의 시스템과는 다르게 안전하고 효율적으로 환경을 분석하고, 제어할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1107-1110
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• 2002

본 논문에서는 초 중등학교 종합정보관리 시스템을 개선하는 한 방법으로 장비관리 행정시스템을 설계 및 구현하였다. 이 시스템에서는 시설 장비의 위치정보와 관리정보가 CAD 도면상에서 통합되어 양자간의 일관성이 보장된다. 구현된 장비관리 행정시스템은 AutoCAD 도면에 저장된 BOM 정보를 데이터베이스에 저장하는 기능, 데이터베이스에 저장된 정보를 이용하여 장비의 각종 현황을 조회할 수 있는 기능, 구매요청서를 작성하는 기능, 작성된 구매요청서를 행정라인에서 전자결재하는 기능, 구매요청서를 공문서 양식으로 인수하는 기능 등을 포함하고 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.121-131
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• 2017

The most important points in the field of entrepreneurship research are new venture creation and behaviors for start-up venture. Most of past researches are limited to the formation of entrepreneurial intention, and researches on entrepreneurial activities, specifically nascent entrepreneurial behavior, have not been studied well. In this study, we view entrepreneurial process as gestation process from entrepreneurial intention to nascent entrepreneurial activities, and identify the moderating effects of cognitive style, which is the way of thinking about the information in entrepreneurial process. In addition, we find the moderating effects of cognitive style on the relationships between perceived barriers and support in environmental factors and nascent entrepreneurial activities. Subjects of this study are potential entrepreneurs. So we selected university students who are taking venture start-up course, conducted a survey, collected 367 questionnaires. In statistical test, we applied PLS-SEM for testing hypotheses because CB-SEM is too sensitive to test more than two moderating effects in th research model. As a result of the analysis, it was found that entrepreneurial intention, cognitive planning style, cognitive creative style, perceived support had a significant effect on nascent entrepreneurial behavior. The results of the analysis of the moderating effects of cognitive style which are the hypotheses in the research are as follows. First, the cognitive planning style did not have a significant moderating effect on the relationship between entrepreneurial intention and nascent entrepreneurial activities. Second, in the relationship between perceived barriers and nascent entrepreneurial activity, cognitive planning style did not have significant moderating effect, and cognitive creating style had significant negative moderating effect. Third, in the relationship between perceive support and nascent entrepreneurial activity, cognitive planning style had significant positive moderating effect, and cognitive creating style did not have significant moderating effect.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.139-142
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• 2001

컴퓨터 이미지처리는 여러 분야에서 응용되고 있는데 어떤 특성을 만족하는 객체들의 계수를 자동으로 분류시키는 생물학분야, 편지봉투나 일반양식에 인쇄되어 있는 글자를 자동으로 검출하고 인식하며 초음파검사 혹은 X-Ray 촬영에서 이미지를 획득하여 향상시키는 의료분야, 지문 및 얼굴인식 등에 이용되고 있다. 최근 몇 년 동안 이미지인식, 형태론, 이미지데이터 압축에 관한 연구가 진전되면서 본 연구에서 형태론적인 기법을 사용하여 문자인식을 위한 전처리 혹은 후처리 단계에서 사용되는 이미지향상을 위해서 침식, 골격화의 2단계를 적용하여 기종의 연구 방법과 비교하여 이미지획득 시간을 줄이고 이미지를 향상시켜 문자를 인식하는 알고리즘을 제안한다.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.593-598
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• 2003

Machine learning organizes knowledge for efficient and accurate reuse. This paper is concerned with methods of concept learning from examples, which glean knowledge from a training set of preclassified ‘objects’. Ideally, training facilitates classification of novel, previously unseen objects. However, every learning system relies on processing and representation assumptions that may be detrimental under certain circumstances. We explore the biases of a well-known learning system, ID3, review improvements, and introduce some improvements of our own, each designed to yield accurate and pedagogically sound classification.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.2
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• pp.245-253
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• 1999

This paper was studied on utilization method of information in Tong-yeong area of which main industry is fisheries. The three kinds of network models such as Marine Information Network Model, Fisheries Industry Information Network Model, Fisheries Products Marketing Information Model were suggested with a method maximizing the utilization value of information. Marine Information Network Model dealt with information on marine environment and marine biology, Fisheries Industry Information Network with information on fisheries and fisheries culture industry, and Fisheries Products Marketing Information with information on fish and fisheries culture products marketing. Service on the Web base was made possible so that a final user got the most recent information, treating on real-time base data collected from each information network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.70-77
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• 1999

This paper was studied on utilization method of information in Tong-yeong area of which main industry is fisheries. The three kinds of network models such as Marine Information Network Model, Fisheries Industry Information Network Model, Fisheries Products Marketing Information Model were suggested with a method maximizing the utilization value of information. Marine Information Network Model dealt with information on marine environment and marine biology, Fisheries Industry Information Network with information on fisheries and fisheries culture industry, and fisheries Products Marketing Information with information on fish and fisheries culture products marketing. Service on the Web base was made possible so that a final user got the most recent information, treating on real-time base data collected from each information network.