• Journal of information and communication convergence engineering
• /
• v.22 no.3
• /
• pp.221-230
• /
• 2024

The aim of this study is to investigate the automatic recognition and analysis of Jeju marine-life images using artificial intelligence (AI) technology. The dataset of marine-life images was prepared using tools such as Python, TensorFlow, and Google Colab (Google Colaboratory). We also developed models by training deep learning AI in image recognition to automatically recognize the species found in these images and extract their associated information, such as taxonomy, characteristics, and distribution. This study is innovative in that it uses deep learning technology combined with imagerecognition technology for marine biodiversity research. In addition, these results will lead to the development of the marine-life industry in Jeju by supporting marine environment monitoring and marine resource conservation. Furthermore, this study is anticipated to contribute to academic advancement, specifically in the study of marine species diversity.

• Proceedings of the Korean Society of Developmental Biology Conference
• /
• 2005.10a
• /
• pp.141-142
• /
• 2005

• Proceedings of the Korea Contents Association Conference
• /
• 2016.05a
• /
• pp.59-60
• /
• 2016

사물통신 기기의 발달로 다양한 응용에서 대용량의 스트림 데이터의 실시간 복합 이벤트 처리 기법에 대한 중요성이 증가되고 있다. 본 논문에서는 유사 연산 처리 비용을 감소시키기 위한 다수의 복합 이벤트 처리 기법을 제안한다. 제안하는 기법은 다수의 복합 이벤트를 처리하기 위한 연산자를 그래프로 표현하고 중복적인 연산을 감소시킨다.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.4
• /
• pp.25-37
• /
• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.

• Journal of National Security and Military Science
• /
• s.9
• /
• pp.191-206
• /
• 2011

This study is presented a scheme that information security research institutions located within the central area can be participated actively m national defense information security industry. The many of information security company are located in the central region(Daejeon) and there are many research institutes. However, the participation rate of the Defense Information Security Industry is not high compared to other provinces. Although a variety of reasons, there are no the Defense Privacy Office that could have a role in protocol and the information about the industry. In addition, the Department of Defense related to national defense information security industry have not information about research institutions in the central region and are not well to identify the characteristics of institutional technology and research. So in this paper we presented some of the alternatives. 1) Building Pool involved in information security research according to the characteristics of each agency 2) Constitute the research community between Research institutions and the company 3) Build the technology cooperation between research institutions and the defense research institutes 4) Utilization of industry/university/research institutes related to Information Security Industry 5) Make strategic alliances among research institutes based on technical expertise.

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 2006.07a
• /
• pp.404-404
• /
• 2006

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 2004.07a
• /
• pp.373-373
• /
• 2004

• Agribusiness and Information Management
• /
• v.7 no.1
• /
• pp.37-44
• /
• 2015

This study explains an agricultural mobile commerce case using Oauth Based Real-Time Information Sharing Technique according to the growth of the agricultural e-commerce market. Considering the characteristics of the agricultural market, it can confirm differential values with the existing agricultural mobile commerce market according to the functions and characteristics of its technique. We compare variables for introducing agricultural mobile commerce with the existing mobile commerce. Trust through information sharing with real-timefarming diaries, suitability and perceived ease of use variables are positively influenced, but influence on completeness and authority of information variables are relatively insufficient. Through this, we explained differential values of agricultural mobile commerce and suggested an applicable business model.

• Journal of Information Science Theory and Practice
• /
• v.10 no.spc
• /
• pp.76-85
• /
• 2022

At the 8th National High-Performance Computing (HPC) Committee convened in 2021, the "National High-Performance Computing Innovation Strategy (draft) for the 4th Industrial Revolution Era" was deliberated and the original draft was approved. In this proposal, the Ministry of Science and ICT in KOREA announced three major plans and nine detailed projects with the vision of "Realizing the 4th industrial revolution quantum jumping by leaping into a high-performance computing powerhouse." Thereby the most important policy about national mid-term and long-term HPC development was established and called the HPC innovation strategy (hereinafter "the innovation strategy"). The three plans of the innovation strategy proposed by the government are: Strategic HPC infrastructure expansion; Secure source technologies; and Activate innovative HPC utilization. Each of the detailed projects has to be executed nationally and strategically. In this paper, we propose a strategy for the implementation of two items ("Strategic HPC infrastructure expansion" and "activate innovative HPC utilization") among these detailed plans.

• Journal of the Korean GEO-environmental Society
• /
• v.15 no.10
• /
• pp.43-51
• /
• 2014

Recently, National Emergency Management Agency constructs integrated information system for preventing national earthquake based on underground information. In the past, there are numerous difficulties in construction and management of underground information, because underground information is constructed by each management agency. But a link and application of underground information are available because of government 3.0. This study shows the integrated information system for preventing national earthquake based on real-time link of underground information. The integrated information system for preventing national earthquake developed in this study consists of boring information input modules, underground information search/analysis modules based on V-world tile map, user authority management modules, user management modules and real-time liaison interface modules. Also, this study proposes enhancement plan to construct integrated information system for preventing national earthquake stably and strongly. Stability test conduct on stability of data storage, system stability and consistency of processing speed test results show stability of the integrated information system for preventing national earthquake is high.