• Journal of Information Processing Systems
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• v.15 no.1
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• pp.1-6
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• 2019

Recently, big data and artificial intelligence (AI) based on communication systems have become one of the hottest issues in the technology sector, and methods of analyzing big data using AI approaches are now considered essential. This paper presents diverse paradigms to subjects which deal with diverse research areas, such as image segmentation, fingerprint matching, human tracking techniques, malware distribution networks, methods of intrusion detection, digital image watermarking, wireless sensor networks, probabilistic neural networks, query processing of encrypted data, the semantic web, decision-making, software engineering, and so on.

• Annual Conference of KIPS
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• 2024.10a
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• pp.505-506
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• 2024

본 연구는 음악 가사와 배경 이미지를 매칭하는 시스템을 개발하는 데 초점을 맞추고 있다. GPT-4o를 활용하여 배경 이미지에 어울리는 음악 가사를 생성해 데이터셋을 구축하였으며, Long-CLIP 모델을 미세 조정하여 음악 가사와 배경 이미지의 임베딩 벡터를 비교함으로써 가장 적합한 배경 이미지를 추천하는 시스템을 구현하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1317-1328
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• 2009

As a study on how the Neurofeedback training effects on young children's brain function and intelligence, first, this paper aims to verity the effect Neurofeedback training brings to the function of young children's brain. Second, through K-WPPSI IQ test, analyses how Neurofeedback training influences on the development of young children's intelligence. The subjects of this study were the 60 five-year children attenging J kindergarten in Cheon-an, experimnet treatment was performed according to Neurofeedback training guidance from Aprile 21 to December 12, 2008. It analyzes the states of brain waves before and after the Neurofeedback training, and performed the statistical analysis through t-test, using SPSS for Window(V.13.0) package. As a result of analysis, it was shown that firstly Neurofeedback training was very effective on the d!evelopment of infan's brain intelligence, since the quotient to evaluate the entire brain function appeared to have a meaningful influence. Secondly, it was proved that Neurofeedback training had much influence on the object assembly-area, the maze-area, and picture completion-area, and that it had the same influence on the performance intelligence quotient too. So, such results as these one make us realize that Neurofeedback training is a very effective method to the development of performance intelligence quotient. Thirdly, they indicate that Neurofeedback training hasn't a meaningful influence on verbal intelligence quotient, since it affects only on the similarities area among verbal intelligence quotient, the total evaluative quotient.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1630-1648
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• 2021

Owing to the unprecedented COVID-19 pandemic, the pharmaceutical industry has attracted considerable attention, spurred by the widespread expectation of vaccine development. In this study, we collect relevant topics from news articles related to COVID-19 and explore their links with two South Korean pharmaceutical indices, the Drug and Medicine index of the Korea Composite Stock Price Index (KOSPI) and the Korean Securities Dealers Automated Quotations (KOSDAQ) Pharmaceutical index. We use generalized Dirichlet-multinomial regression (g-DMR) to reveal the dynamic topic distributions over metadata of index values. The results of our analysis, obtained using g-DMR, reveal that a greater focus on specific news topics has a significant relationship with fluctuations in the indices. We also provide practical and theoretical implications based on this analysis.

• Knowledge Management Research
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• v.9 no.2
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• pp.1-13
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• 2008

The purpose of this study is to investigate the use of elements related to the competitive intelligence(CI) process, methods, and infrastructure in accordance with the degree of CI effectiveness of domestic firms and to propose a guideline for designing and operating an effective CI program in Korean films. The results of this study reveal that, for the elevation of CI effectiveness of Korean firms, it is important to actively utilize the overall CI process, including undisclosed information through human networks, public information through various media, and quantitative and qualitative analyses, an independent CI unit, various CI support systems, such as information and reward systems, and organizational culture of CI openness within an organization. However, CI outsourcing, CI primary objectives, and CI scale do not seem to have a significant influence on CI effectiveness of Korean firms. Based on these results, this research presents some important implications for effective competitive intelligence for Korean firms.

• Spatial Information Research
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• v.22 no.1
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• pp.19-26
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• 2014

Recently, ICT environments have been increasingly developed and the pattern of the war also has been changed to NCW. The development of communication and network technology, for example, C4I and TDL(Tactical Data Link), has been prosperous and rapid. But the geospatial intelligence field which is the basis of the network frames relatively has not been developed. The purpose of this paper is to foster the geospatial governance in terms of the defense perspective. In order to do that, this paper deals with the U.S. Intelligence Community(IC) and the U.S. Army Global Information Grid(GIG), LandWarNet and those could be good examples of roles and statuses of geospatial intelligence. IC has been produced essential intelligence which is required for policymakers and military leaders. IC has several stove-piped intelligence process systems which have been separately developed and competed. And so as to complete GIG, the U.S. Army adopted LandWarNet. The U.S. Corps of Engineers organized the Army Geospatial Center(AGC) on 1 October 2009 to support LandWarNet. In order to develop NCW, we should recognize geospatial intelligence as the basis of network framework and make a central leading organization of defense geospatial intelligence. The mission of Korea Defense Geospatial-Intelligence Agency should be changed from producing GEOINT to a strategic GEOINT agency. The Army should organize a laboratory of geospatial intelligence field. The mission of producing GEOINT should be transferred to a geospatial intelligence battalion which is newly organized.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.89-99
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• 2011

Digital edutainment games and educational content to the concept of combining learning and to draw conclusions that can be varied and fun learning program. Yet effective design. There's a lot of discussion about the systematic and scientific research, explore the difficult, but so is the growing field of endless possibility. Merely a linguistic capabilities of human intelligence and mathematical ability were measured primarily on issues raised in the traditional intelligence tests, and emerged a variety of multiple intelligences theory of human intelligence classified into 8 types and characteristics of each intelligence activities and guidelines for faculty are presented. These lessons are based on multiple intelligences theory professor activities through the design study for students to form learning activities to meet effectively and systematically conducted classes, and student-specific classes can be designed. In this study, multiple intelligences theory, based on children's edutainment content by linguistic intelligence, and intrapersonal intelligence body-kinestic intelligent and can learn by linking to content that was designed. Children interested in animation and gaming content through the feeling that you can become stiff in Korean alphabet education to solve the quests were designed to be a natural puleonagal.

• Annual Conference of KIPS
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• 2022.05a
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• pp.316-319
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• 2022

도시의 복잡화와 노후화로 인해 신규·대형 재난의 발생 빈도가 늘고 재난의 피해 규모가 커짐에 따라 신속하고 정확한 재난 상황관리가 필요하다. 재난 상황관리의 신속성과 정확성을 높이기 위해 상황관리 의사결정을 지원하기 위한 보다 체계적인 방법의 필요성이 대두되고 있으며, 이를 위해 기존 재난 상황관리 의사결정 지원 방법의 고찰이 선행되어야 한다. 이 논문에서는 재난 상황관리 의사결정 지원을 위한 기존 방법을 비교·검토하고 이를 기반으로 지능형 재난 상황관리 의사결정 지원을 위해 해결해야 할 도전과제를 제안한다.

• Annual Conference of KIPS
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• 2020.05a
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• pp.32-35
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• 2020

본 논문은 실시간 데이터 분석을 위한 컨테이너 가상화 기술 사용에 대한 효용성을 알아보기 위해 HDP 와 MapR 배포판에 포함된 Spark 를 도커라이징 전과 후 환경에 설치 후 HiBench 벤치마크 프로그램을 이용해 성능을 측정하였다. 그리고 성능 측정치에 대해 대응표본 t 검정을 이용하여 도커라이징 전과 후의 성능 차이가 있는지를 통계적으로 분석하였다. 분석 결과, HDP 는 도커라이징 전과 후에 대한 성능 차이가 있었지만 MapR 은 성능 차이가 없었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.3-5
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• 2022

혼합 중요도(mixed criticality) 시스템은 안전에 중요한 기능을 우선시하도록 하는 추가적인 안전 요구사항이 존재한다. 그러나 기존 실시간 시스템의 설계로는 이를 만족하지 못하며, 높은 중요도 태스크가 다른 낮은 중요도 태스크로부터 간섭을 받아 데드라인 미스와 같은 문제를 일으키는 중요도 역전(criticality inversion) 문제가 발생할 수 있다. 이러한 중요도 역전 문제를 해결하기 위해 주기 변환(period transformation) 기법을 사용할 수 있지만, 스케줄링 오버헤드의 증가로 인해 오히려 전반적인 태스크의 응답시간이 증가하는 또 다른 문제가 발생하게 된다. 본 논문에서는 주기 변환과 스케줄링 오버헤드 간의 트레이드오프 관계를 설명하고, 실시간 리눅스 시스템에서 해당 문제점을 재연한 후 주기 변환의 적정선을 분석하고자 실험을 진행하였다. 그 결과, 중요도 역전 문제를 해결하기 위한 주기 변환을 그대로 적용할 경우, 문맥 교환이 48.7% 증가 및 스케줄링 오버헤드가 28.7% 증가로 인해 전반적인 응답시간이 증가하여 데드라인 미스가 다수 발생하는 결과를 확인할 수 있었다.