• Annual Conference of KIPS
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• 2013.05a
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• pp.894-897
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• 2013

서열 정렬(sequence alignment)은 유전학(genomic)에서 널리 사용되는 도구 중 하나이다. 최근에는 차세대 시퀀싱 기술(NGS)이 발달함에 따라 데이터의 생산량이 크게 증가했고, 이에 따라 높은 처리량(throughput)을 가진 서열 정렬 알고리즘의 필요성이 증가하였다. 본 논문에서 제안하는 염기 서열 정렬 알고리즘은 시퀀스(sequence)데이터를 그래프 형태로 변형시킨 다음, 마이크로소프트사의 그래프 기반인 메모리(in-memory) 분산시스템(distributed system) 트리니티(Trinity)를 이용해 서열 정렬을 수행한다. 본 논문의 알고리즘은 트리니티 시스템에서 시뮬레이션 염기 데이터를 성공적으로 정렬하였으며, 슬레이브의 개수가 늘어날수록 빠른 속도를 나타내어 확장성(scalability)을 입증했다.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.255-283
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• 2024

In this study, as a preliminary research to effectively support data-driven R&D of researchers, we analyzed the academic information and data requirements for researchers to discover new types of academic information and datasets, and to propose directions for academic information services. To achieve the research objectives, we conducted an exploratory case study involving five researchers and administered an online survey among ScienceON users to glean insights into data-driven R&D behaviors and information/data requirements. As a result, researchers relatively referred to academic papers, datasets and software information from academic papers or conference materials. Moreover, the methods and pathways for acquiring data, as well as the types of data, varied across different subject areas. Researchers often faced challenges in data-driven R&D due to difficulties in locating and accessing necessary datasets or software such as learning models. Therefore it has been analyzed that for future support of data-driven R&D, there is a need to systematically construct datasets by subject. Additionally, it is considered necessary to extract and summarize dataset and related software information in conjunction with academic papers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.37-42
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• 2006

기술집약적인 경제성장의 중요성이 강조되고 있는 가운데 이공계 진학과 과학기술직종선택의 감소는 성장잠재력에 가장 근본적인 위협이 된다. 이를 유지하려는 여러 가지 정책이 교육학적이나 사회학적 근거에서 제시되고 있으나 이를 분석하는 이론적 경험적 틀이 상대적으로 부족한 상태이다. 직업선택모델은 사회학적인 접근법이 활발하게 진행되었으나, 경제적 동인에 대극 분석이 부족하다. 본 논문에서는 2000년 미국 센서스 데이터에 나타난 가장 국제화된 미국의 과학기술직 사례를 통해 인적자본 모델을 기준으로 하여 기술직에 대한 기존의 연구와 비교한다. 이민의 직업선택모델의 관점에서 원주민의 경우와 비교하며, 동시에 타 직업군과 비교한다. 직업선택에서 미래소득에 대한 예측이 대체로 정확하나 실제의 선택이 다르다는 기존 논문들의 주장은 성간 차이의 문제를 제외하고는 현격하지 않다. 민족적 차이의 효과도 인적자본효과에 비해서는 크지 않다. 과학기술직은 고급 화이트칼라 직종에 비해 결혼과 교육 언어 경험면에서 저급한 직종의 특성을 보인다. 여성의 과학기술직 기피는 남성프리미엄이 높아서는 아니지만 합리적인 차별 때문으로 볼 수 있다.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.944-953
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• 2020

Object detection plays a crucial role in a self-driving system. With the advances of image recognition based on deep convolutional neural networks, researches on object detection have been actively explored. In this paper, we proposed a lightweight model of the mask R-CNN, which has been most widely used for object detection, to efficiently predict location and shape of various objects on the road environment. Furthermore, feature maps are adaptively re-calibrated to improve the detection performance by applying an attention module to the neural network layer that plays different roles within the mask R-CNN. Various experimental results for real driving scenes demonstrate that the proposed method is able to maintain the high detection performance with significantly reduced network parameters.

• The Science & Technology
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• v.19 no.1 s.200
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• pp.48-57
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• 1986

- DATA파이프 - 화학품 생산을 위한 바이오매스의 이용 - 선형 프로그래밍 산법 - 복합질병을 위한 왁찐 - 말라리아 왁찐 - 데이터 기록용의 확장식 디스크매체 - 생세포의 냉동보존용 전산화 시각분석법 - 콜버그완 - 중유회수의 능률향상 - 충돌 들뜸체계이용 소프트 X선 레이저 - 스터얼링 사이클 저온 냉각기 - 셀데인 - 플라즈마 체계이용 소프트 X선 레이저 - 수력터빈 시스템 - 암호시스템을 해독하는 산법 - 균일한 크기의 극히 미세한 물질을 형성하는 공정 - 마그네켄치 - 리그닌 퇴화효소 - 코즈믹 튜브 - 테라비트 Km/Sec용량의 광전송 - 폴리머-세라믹 복합체 - 노바 - 살아있는 뇌의 신경 수용체를 보고 측정하는 방법

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.64-76
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• 2021

Culture technology (CT) becomes important in the recent environment where digital technology drives content-based innovations. However, technological trends of CT have not been systematically discussed. Especially, the trends of CT should be analyzed from the national perspective, because CT has grown with the help of government-driven innovation. Therefore, this paper aims to analyze CT trends focusing on national research projects. We collected data on CT from the national science and technology information service (NTIS) database, analyzed the keyword co-occurrence network, and identified the patterns of technological innovation using a clustering analysis. As a result, we found that CT has contributed to the digital content and cultural media, and has been actively developed with the help of machine learning technique. Especially, due to the rise of Covid-19, the non-face-to-face online content is rapidly increasing. This study provides important clues for understanding, analyzing CT trends.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.4
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• pp.389-394
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• 2010

This paper describes the conceptual design of mass memory unit for high speed data processing and mass memory management in the STSAT-3 compared to that of STSAT-2. The FPGA directly controls the data receiving from two payloads with the maximum 100Mbps speed and 32Gb mass memory management to satisfy these requirements. We used SRAM-based FPGA from XILINX having fast operating speed and large logic cells. Therefore, the Triple Modular Redundancy(TMR) and configuration memory scrubbing techniques will also be used to protect FPGA from Single Event Upset(SEU) in space.

• Journal of the Korea Management Engineers Society
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• v.23 no.4
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• pp.1-18
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• 2018

Emergency response has been considered as an important task in practice, because it is directly associated with the survival of patients. However, it is very difficult to increase the number of fire stations due to the budget and efficiency problem. Under this circumstances, it is critical to consider the suitability of current arrangement for 911 fire station. This is especially true in Gyeonggi-Do where the characteristics of each sub-area are different. In response, this study aims to identify types of areas that are vulnerable for emergency situations, and try to find relevant solutions for each type. For this purpose, we collected 151,463 data for emergency declaration data which exceeds 10 minutes for its response. Total 19 clustering variables which are used as input variables are selected, considering the characteristics of each area. As a result of clustering analysis, three clusters are identified and analyzed. Finally, areas whose emergence response time is in top 10% are selected and analyzed. This paper is expected to find current issues and problems of emergency response for each area, and help to understand and solve the problem for the local government.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.2
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• pp.123-136
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• 2024

This study examines the performance expectations (PEs) and clarification statements of each PE in the 2022 revised national science and mathematics education standards from a data visualization competency perspective. First, the authors intensively reviewed data visualization literature to define key competencies and developed a framework comprising four main categories: collection and pre-processing skills, technical skills, thinking skills, and interaction skills. Based on the framework, the authors extracted a total of 191 mathematics and 230 science PEs from the 2022 revised science and mathematics education standards (Ministry of Education Ordinance No. 2022-33, Volumes 8 and 9) as the main data set. The analysis process consisted of three steps: first, the authors organized the data (421 PEs) by the four categories of the framework and four grade levels (3-4th, 5-6th, 7-9th, and 10th grade); second, the numbers of PEs in each grade level were standardized by the accomplishing period (1-3 years) of each PE depending on the grade level; lastly, the data set was represented by heatmaps to visualize the relationship between the four categories of visualization competency and four grade levels, and the differences between the competency categories and grade levels were quantitatively analyzed using the Mann-Whitney U test and independent sample Kruskal-Wallis tests. The analysis results revealed that in mathematics, there was no significant difference between the number of PEs by grade. However, on average, the number of PEs categorized in 'thinking skills' was significantly lower than those in the technical skills (p = .002) and interaction skills categories (p = .001). In science, it was observed that as grade level increased, PEs also increased (pairwise comparison: Grades 5-6 vs. 7-9, p = .001; Grades 5-6 vs. Grade 10, p = .029; Grades 3-4 vs. 7-9, p = .022). Particularly, the frequency of PEs in 'thinking skills' was significantly lower than in the other skills (pairwise comparison: technical skills p = .024; collection and pre-processing skills p = .012; interaction skills p = .010). Based on the results, two implications for revising national science and mathematics standards and teacher education were suggested.

• Annual Conference of KIPS
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• 2020.11a
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• pp.2-4
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• 2020

최근 데이터 분석을 위한 연구 환경은 고성능 컴퓨팅자원, 대용량 스토리지, 초고속 네트워크 시스템등 IT 기술이 융합된 사이버 인프라 연구 환경을 기반으로 하고 있다. 또한, 실험의 규모가 커지면서 다수의 연구자들이 협업을 통해 공동의 연구결과를 도출하는 집단연구가 증가하고 있다. 본 논문에서는 이러한 환경에서 연구자들이 대용량 실험데이터를 공유·분석할 수 있는 효율적인 스토리지 작업 공간 모델을 제안한다.