• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.104-105
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• 2023

해양 관측과 위성 원격탐사를 이용하여 시공간적으로 다양하게 변하는 생태 어장 환경 및 선박 관련 자료를 획득할 수 있다. 이번 연구의 주요 목적은 야간 불빛 위성 자료를 이용하여 광범위한 해역에 대한 어선의 위치 분포를 파악하는 딥러닝 기반 모델을 제안하는 것이다. 제안한 모델의 정확성을 평가하기 위해 야간 조업 어선의 위치를 포함하고 있는 AIS(Automatic Identification System) 정보와 상호 비교 평가 하였다. 이를 위해, 먼저 AIS 자료를 획득 및 분석하는 방법을 소개한다. 해양안전종합시스템(General Information Center on Maritime Safety & Security, GICOMS)으로부터 제공받은 AIS 자료는 동적정보와 정적정보로 나뉜다. 동적 정보는 일별 자료로 구분되어있으며, 이 정보에는 해상이동업무식별번호(Maritime Mobile Service Identity, MMSI), 선박의 시간, 위도, 경도, 속력(Speed over Ground, SOG), 실침로(Course over Ground, COG), 선수방향(Heading) 등이 포함되어 있다. 정적정보는 1개의 파일로 구성되어 있으며, 선박명, 선종 코드, IMO Number, 호출부호, 제원(DimA, DimB, DimC, Dim D), 홀수, 추정 톤수 등이 포함되어 있다. 이번 연구에서는 선박의 정보에서 어선의 정보를 추출하여 비교 자료로 사용하였으며, 위성 자료는 구름의 영향이 없는 깨끗한 날짜의 영상 자료를 선별하여 사용하였다. 야간 불빛 위성 자료, 구름 정보 등을 이용하여 야간 조업 어선의 불빛을 감지하는 심층신경망(Deep Neural Network; DNN) 기반 모델을 제안하였다. 본 연구의결과는 야간 어선의 분포를 감시하고 한반도 인근 어장을 보호하는데 기여할 것으로 기대된다.

• Journal of the Korean earth science society
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• v.45 no.1
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• pp.48-71
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• 2024

Typhoons are representative oceanic and atmospheric phenomena that cause interactions within the Earth's system with diverse influences. In recent decades, the typhoons have tended to strengthen due to rapidly changing climate. The 2022 revised science curriculum emphasizes the importance of teaching-learning activities using advanced science and technology to cultivate digital literacy as a citizen of the future society. Therefore, it is necessary to solve the temporal and spatial limitations of textbook illustrations and to develop effective instructional materials using global-scale big data covered in the field of earth science. In this study, according to the procedure of the PDIE (Preparation, Development, Implementation, Evaluation) model, the inquiry activity data was developed to visualize the track of the typhoon using the image data of GK-2A. In the preparatory stage, the 2015 and 2022 revised curriculum and the contents of the inquiry activities of the current textbooks were analyzed. In the development stage, inquiry activities were organized into a series of processes that can collect, process, visualize, and analyze observational data, and a GUI (Graphic User Interface)-based visualization program that can derive results with a simple operation was created. In the implementation and evaluation stage, classes were conducted with students, and classes using code and GUI programs were conducted respectively to compare the characteristics of each activity and confirm its applicability in the school field. The class materials presented in this study enable exploratory activities using actual observation data without professional programming knowledge which is expected to contribute to students' understanding and digital literacy in the field of earth science.

• Journal of Software Engineering Society
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• v.26 no.1
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• pp.1-16
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• 2013

Variable length information message is a communication protocol standard in order for computer network systems to provide efficient delivery of information. The variable length information messages were developed for varying and controlling details of information in accordance with message receiver's required information level or information access level. In the previous studies, data compressing techniques have been in use for information message optimization technologies in order to reduce physical sizes of information messages. In optimization technologies for information messages, accuracy of information is considered as the most important factor; therefore, only non-loss compression techniques are applied to the optimization technologies. However, the non-loss compression based information message optimization methods are not efficient in data compression, and these are limited to efficient delivery of information in wireless network environments that have constraint bandwidth. In this paper, we attempt to optimize information in the variable length information messages at message fields in order to reduce physical sizes of messages more efficiently. To demonstrate the efficiency of our approach, we conduct optimization experiments for variable length information messages.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.3
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• pp.238-247
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• 2021

Diatoms are a type of microalgae which inhabits a wide variety of environments as one of the most important primary producers of freshwater and marine ecosystems. They have been widely used as bioindicators which represent the environmental characteristics, thus proper quality control of diatom data is very important to ensure for the researches from many scientists from various different regions to have scientific unity and objectivity. At present, diatom data analysis is primarily based both on morphological features and DNA sequences of given species. Challenge for the morphology-based analysis of diatoms is the consistent species identification among different taxonomists who interpret diatom community, while challenge for the molecular analysis of diatoms to secure reliable reference data. In the present study, we have reviewed the current status of data quality control of diatom analysis in Korea as well as the world. Finally, suggestions for the better data quality control for Korean marine diatoms have been also made.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.641-651
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• 2021

Supercomputers have played an important role in various fields such as science, industry, national security and solutions for social issues, and their demand is increasing significantly as their use is strengthened in areas using big data and AI. Recently, competition for global exascale system development is accelerating based on various architectures, and the era of exascale computing is expected to come in the near future. However, the foundation of the domestic supercomputing ecosystem was lost due to the decline of the server industry in the past, and although the related law was enacted to supplement and foster it, it has not been able to perform its function smoothly. Therefore, this article examines the problems in the current legal system through the analysis of the relevant legal system and the status of the supercomputing ecosystem, and suggests improvements so that the relevant legal system, which can accommodate the reinforcement of the role of the government·national center·professional center, support for industries, promotion of commercialization of research results, and flexibility of government promotion policies, can prepare the basis for the promotion of the supercomputing R&D project.

• Convergence Security Journal
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• v.21 no.1
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• pp.191-200
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• 2021

Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.311-318
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• 2009

Interactive terrain visualization is an important research area with applications in GIS, games, virtual reality, scientific visualization and flight simulators, besides having military use. This is a complex and challenging problem considering that some applications require precise visualizations of huge data sets at real-time rates. In general, the size of data sets makes rendering at real-time difficult since the terrain data cannot fit entirely in memory. In this paper, we suggest the effective Real-time LOD(level-of-detail) algorithm for displaying the huge terrain data and processing mass geometry. We used a hierarchy structure with $4{\times}4$ and $2{\times}2$ tiles for real-time rendering of mass volume DEM which acquired from Digital map, LiDAR, DTM and DSM. Moreover, texture mapping is performed to visualize realistically while displaying height data of normalized Giga Byte level with user oriented terrain information and creating hill shade map using height data to hierarchy tile structure of file type. Large volume of terrain data was transformed to LOD data for real time visualization. This paper show the new LOD algorithm for seamless visualization, high quality, minimize the data loss and maximize the frame speed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.394-399
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• 2016

This study examines how the patent results of the University Academic-Industrial Cooperation influence technology transfer. Statistical analysis was performed by using 2013 panel data from the Ministry of Education and Science Technology(MEST) National Research Foundation of Korea(NRF) and the results are as follows. The results show that the patent result factors that have a positive effect on the total number of technology transfers are domestic patent application numbers, foreign patent application numbers, future technology(6T) patent application numbers, science technology patent application numbers. The factors that have a positive effect on increasing royalty are the total number of technology transfers. Domestic patent application numbers, future technology(6T) patent application numbers and science technology patent application numbers have a positive effect on patent results. The results implicate that more research and development is needed for more patents to be applied, that the main focus should be on future technology(6T) and science technology fields, and that effort should be directed at planning negotiation strategies for the term of the contract. However, this study is the need to research, including primary research is so patent performance may be limited in having only been considered in future studies of human and material resources and operating system factors that may be presented to the essential elements of the Industry-Academic Cooperation Foundation this raises.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.51-71
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• 2023

This study analyzed the government data quality management model, big data quality management model, and data lifecycle model for research data management, and analyzed the components common to each data quality management model. Those data quality management models are designed and proposed according to the lifecycle or based on the PDCA model according to the characteristics of target data, which is the object that performs quality management. And commonly, the components of planning, collection and construction, operation and utilization, and preservation and disposal are included. Based on this, the study proposed a process model for research data quality management, in particular, the research data quality management to be performed in a series of processes from collecting to servicing on a research data platform that provides services using research data as target data was discussed in the stages of planning, construction and operation, and utilization. This study has significance in providing knowledge based for research data quality management implementation methods.

• Science of Emotion and Sensibility
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• v.7 no.2
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• pp.133-140
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• 2004

A large number of indices are produced from human sensibility ergonomic data, which are accumulated by the project "Study on the Development of Web-Based Database System of Human Sensibility and its Support". Since the research in this field will be increased rapidly, it is necessary to automate the index processing of human sensibility ergonomic data. From the similarity between indexation and summarization, we propose the automation of this process. In this paper, we study on extraction of keywords, information types and expression features that are considered as basic elements of following techniques for automatic summarization: classification of documents, extraction of information types and linguistic features. This study can be applied to automatic summarization system and knowledge management system in the domain of human sensibility ergonomics.rgonomics.