• Title/Summary/Keyword: 기술군집

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The change patterns of the Clustering of metabolic syndrome (대사증후군 구성요인의 군집별 변화 양상)

  • Kim, Young-Ran;Cheon, Hae-Kyung;Lee, Tae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.526-537
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    • 2016
  • Objective: This study examined the changes in the clustering of metabolic syndrome, and examined the distribution of a combination of clustering. Methods: The study was performed with the data from the same 1,900 people who had a medical checkup at a health clinic twice from 2009 to 2013. The subjects were divided into two groups of metabolic syndrome and non-metabolic syndrome (normal group) and examined according to the periodic changes. The related factors were examined with a cohort study. Results: The order affecting the prevalence of metabolic syndrome by the combination of metabolic syndrome constituent factors was two combinations (TG+HDL), three combinations (WC+TG+HDL), and four combination (WC+TG+HDL+BP). Conclusions: To manage these factors, public health programs will be needed and the methods to prevent metabolic syndrome should be promoted. In addition, more study on the risk factors of metabolic syndrome will be needed.

The comparative study of vegetation between River Experiment Center and near-streams (하천실험센터와 주변 하천의 식생 비교 연구)

  • Kim, Eun-Jin;Yeo, Hong-Gu;Park, Moon-Hyeong;Kim, Jong-Tae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.742-742
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    • 2012
  • 한국건설기술연구원 하천실험센터는 이수, 치수, 환경을 조화시키는 하천기술을 개발하기 위하여 2009년 11월 경상북도 안동시 남후면 하아리 낙동강변에 준공되었으며 초당 8톤의 인공홍수발생이 가능한 3개의 실험수로와 유 출입수조, 다목적호수실험장, 저류지 및 연구동으로 이루어져 있다. 본 연구는 하천실험센터의 식생과 3가지 유형(본류형, 자연제방지류형, 인공제방지류형)의 인근 하천식생을 비교분석하여 하천실험센터의 현재 식생환경을 파악하고 차후 연구의 기초선 자료로 활용하기 위하여 수행되었다. 2011년 7월부터 9월 사이에 하천실험센터(급경사수로, 직선수로, 사행수로, 유출수조, 자연식생보존구간), 낙동강 본류, 상리천, 하아천에서 대표성을 갖는 장소 각각 1개 지소를 선정하여 식물상조사 및 식생단면조사를 진행하였으며 조사된 자료를 바탕으로 습생도, 교란도, 외래종율, 종다양성지수를 산출하였다. 또한 군집분석(Cluster Analysis)을 통하여 현재 하천실험센터의 식생환경이 타 조사지의 하천식생과 비교하여 어떤 유사성을 보이는지 확인하였다. 전체조사구간에서 총 108종류의 식물이 출현하였다. 3개의 실험수로는 수 습생식물의 종수가 일반하천의 수 습생식물의 종수보다 적었으며 반면에 육상식물의 종수는 더 많게 조사되었다. 또한 1 2년 식물의 경우 실험수로에서 더 많이 출현하였고 다년생초본과 목본은 소수였다. 하천실험센터의 자연식생보존구간의 경우 총 식물 종수 및 수 습생식물의 종수가 최대값을 나타내었고 식물상의 출현유무를 바탕으로 군집분석을 수행한 결과, 하천실험센터의 실험수로는 낙동강 본류, 상리천, 하아천과 유사도가 낮게 구분되었으며 자연식생보존구간은 낙동강 본류 및 상리천과 유사도가 높게 분류되었다. 하천실험센터의 실험수로는 준공당시 기존의 식생이 모두 제거된 상태에서 인위적으로 조성되었기 때문에 현재까지는 하천식생의 특징이 두드러지지 않으며 육상식생에 가까운 식생환경을 나타내고 있다. 자연식생보존구역의 경우 다양한 버드나무류와 초본류가 정착되어 있으며 타 대상지에 비하여 가장 뛰어난 생태성을 가지고 있다. 하천실험센터는 하천실험을 위한 장소이나 그 자체로 생태가치가 높으며 차후 생태연구, 홍보, 교육활동에 유용하게 활용할 수 있는 잠재력을 내포하고 있다.

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Prevalence of Clustering of Coronary Risk Factors in Health Checkup Examinees (일부 건강검진 수검자들의 관상동맥질환 위험인자의 군집별 유병률)

  • Kim, Eun-Suk;Kim, Kwang-Hwan;Cho, Young-Chae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.3
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    • pp.625-633
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    • 2009
  • This study was conducted to assess the distribution of coronary risk factors(CRF) and evaluate the risk profile of coronary heart disease by the clustering of the CRF in health checkup examinees. The study sample consists of 3,345 adults aged 30s-60s years(1,917 males, 1,428 females), not recognized as taking medicines for or having cardiovascular diseases, who underwent health package check-up at the health examination center of a university-affliated hospital in Daejon City. The proportion of subjects with 1, 2, 3, 4 and or more risk factors were 27.6%, 26.5%, 16.9% and 9.1%, respectively, therefore, the 80.0% of total subjects had at least one more risk factor. From these findings, this study concluded that the prevalence rates of CRF were relatively high. These data provide further evidence that the early intervention for coronary health prevention and promotion in general adult population is necessary at the population level.

Design of Hybrid V2X Communication Platform for Evaluation of Commercial Vehicle Autonomous Driving and Platooning (상용차 자율 군집 주행 평가를 위한 하이브리드 V2X 통신 플랫폼 설계)

  • Jin, Seong-keun;Jung, Han-gyun;Kwak, Jae-min
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.521-526
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    • 2020
  • In this paper, we propose a design method and process for hybrid V2X communication platform that combines WAVE communication and LTE-V2X communication which are C-ITS communication protocols for vehicle environments and Legacy LTE communication which is a commercial mobile communication for evaluating the autonomous platooning platform of commercial vehicles. For a safe and efficient autonomous platooning platform, an low-latency communication function based on C-ITS communication is required, and to control it, commercial communication functions such as Legacy LTE, which can be connected at all times, are required. In order to evaluate such a system, the evaluation equipment must have the same level of communication performance or higher. The main design contents presented in this paper will be applied to the implementation of hybrid V2X terminals for functional evaluation.

A Proposal for Drone Entity Identification and Secure Information Provision Technology Using Quantum Entropy Chip-Based Cryptographic Module in WLAN Environment (무선랜 환경에서 양자 엔트로피 칩 기반 암호모듈을 적용한 드론 피아식별과 안전한 정보 제공 기술 제안)

  • Jung, Seowoo;Yun, Seunghwan;Yi, Okyeon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.891-898
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    • 2022
  • Along with global interest, drones are expanding the base of utilization such as transportation of goods, forest protection, and safety management, and cluster flights are being applied in various fields such as military operations and environmental monitoring. Currently, specialized networks such as e-UM 5G for services in specific industries are being established in Korea. In this regard, drone systems are also moving to establish specialized networks to provide services that are fused with AI and autonomous flight. As drones converge with various services, various security threats in various environments are also subordinated, and in response, requirements and guidelines for drone security are being prepared in Korea. In this paper, we propose a technology method for peer identification and safe information provision between cluster flight drones by utilizing a cryptographic module equipped with wireless LAN and quantum entropy-based random number generator in a cluster flight system and a mobile communication network such as e-UM 5G.

Microbial Community Structures Related to Arsenic Concentrations in Groundwater Occurring in Haman Area, South Korea (함안지역 지하수의 비소(As) 함량과 미생물 군집 특성과의 연관성 검토)

  • Kim, Dong-Hun;Moon, Sang-Ho;Ko, Kyung-Seok;Kim, Sunghyun
    • Economic and Environmental Geology
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    • v.53 no.6
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    • pp.655-666
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    • 2020
  • This study evaluated the characteristics of arsenic production in groundwater through microbial community analysis of groundwater contaminated with high arsenic in Haman area. Groundwater in Haman area is contaminated with arsenic in the range of 0-757.2 ㎍/L, which represents the highest arsenic contamination concentration reported in Korea as natural groundwater pollution source. Of the total 200 samples, 29 samples (14.5%) showed higher arsenic concentration than that of 10 ㎍/L, which is the standard for drinking water quality, and 8 samples (4%) found in wells with 80-100 m depth were above 50 ㎍/L. In addition, seven wells with arsenic concentration more than 100 ㎍/L located in the northern part of Haman. As a result of microbial community analysis for high arsenic-contaminated groundwater, the microbial community compositions were significantly different between each sample, and Proteobacteria was the most dominant phyla with an average of 61.5%. At the genus level, the Gallinonella genus was predominant with about 12.8% proportion, followed by the Acinetobacter and Methermicoccus genus with about 7.8 and 7.3%, respectively. It is expected that high arsenic groundwater in the study area was caused by a complex reaction of geochemical characteristics and biogeochemical processes. Therefore, it is expected that the constructed information on geochemical characteristics and microbial communities through this study could be used to identify the origin of high arsenic groundwater and the development of its controlling technology.

Visual Improvement Analysis of Small Scale Urban Regeneration Projects Focusing on '72 Hour Project' (72시간 프로젝트로 본 소규모 유휴공간 재생 프로젝트의 경관적 개선 효과)

  • Kim, Hyun-Jung;Kim, Young-Min
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.1
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    • pp.19-30
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    • 2021
  • This research studied the effect of visual improvement of "72 Hour Project" that has regenerated small scale derelict spaces in Seoul through citizen participation. 29 projects built form 2016 to 2019 were analyzed. The research analyzed landscape image preference of before and after status of projects using 12 pairs of landscape adjectives. Basic statistical analysis, correlation analysis, factor analysis, cluster analysis, and ANOVA were performed based on the survey results. Since the satisfaction level of the projects compared with the before-condition was 3.63 higher than 3.00, it could be concluded that there was an meaningful effect of visual improvement after completion of the projects. As the result of the factor analysis, landscape adjective pairs were categorized into two factors: harmony and aesthetics. Through the cluster analysis, four clusters were formed and characteristics of each cluster were identified. As the result of rhe cluster analysis, the cluster with the high harmony level and the aesthetics level showed the highest overall satisfaction level. Comparing each cluster, it could be concluded that the factor of harmony was more important than the factor of aesthetics in evaluating the satisfaction level of projects. Analyzing qualitative aspects of project groups, spatially well-balanced design with generous vegetation areas was more effective in landscape improvement than artistic design with visually strong installations. Further researches based on behavior studies of actual users are required to compensate the limits of this research. This research can contribute to establish the improved direction of policies to regenerate various types of small scale derelict spaces.

Analysis of Defense Communication-Electronics Technologies using Data Mining Technique (데이터 마이닝 기법을 이용한 군 통신·전자 분야 기술 분석)

  • Baek, Seong-Ho;Kang, Seok-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.6
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    • pp.687-699
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    • 2020
  • The government-led top-down development approach for weapons system faces the problem of technological obsolescence now that technology has rapidly grown. As a result, the government has gradually expanded the corporate-led bottom-up project implementation method to the defense industry. The key success factor of the bottom-up project implementation is the ability of defense companies to plan their technologies. This paper presented a method of analyzing patent data through data mining technique so that domestic defense companies can utilize it for technology planning activities. The main content is to propose corporate selection techniques corresponding to the defense communication-electronics sectors and conduct principal component analysis and cluster analysis for the International Patent Classification. Through this, the technology was classified into four groups based on the patents of nine companies and the representative enterprises of each group were derived.

A Study on Pattern Recognition with Self-Organized Supervised Learning (자기조직화 교사 학습에 의한 패턴인식에 관한 연구)

  • Park, Chan-Ho
    • The Journal of Information Technology
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    • v.5 no.2
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    • pp.17-26
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    • 2002
  • On this paper, we propose SOSL(Self-Organized Supervised Learning) and it's architecture SOSL is hybrid type neural network. It consists of several CBP (Component Back Propagation) neural networks, and a modified PCA neural networks. CBP neural networks perform supervised learning procedure in parallel to clustered and complex input patterns. Modified PCA networks perform it's learning in order to transform dimensions of original input patterns to lower dimensions by clustering and local projection. Proposed SOSL can effectively apply to neural network learning with large input patterns results in huge networks size.

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