• Title/Summary/Keyword: 계층적분석기법

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Performance Analysis on Code-Division Multiple Access in Underwater Acoustic Sensor Network (수중 음향 센서 망에서의 코드 분할 다중 접속 기법에 대한 성능 해석)

  • Seo, Bo-Min;Cho, Ho-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.9A
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    • pp.874-881
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    • 2010
  • Acoustic signal, which is a main carrier of underwater communication, attenuates along the traveled path heavily depending on the frequency as well as inter-node distance. In addition, since it has a long propagation delay, the conventional medium access control (MAC) schemes requiring complex signaling procedures and accordingly heavy overhead messages would not be appropriate in underwater communications. In this paper, we propose a code division multiple access (CDMA) scheme as a solution for MAC of underwater communication and evaluate the performance. A hierarchical data-gathering tree topology is considered and a staggered wake-up pattern is employed for the purpose of energy saving. As a performance measure, the data rate at each level of hierarchical topology is derived.

Exploratory Study of Success Factors for U-Health System and Analysis of It's Weight (U-Health 서비스의 성과에 영향을 미치는 성공요인과 중요도 분석)

  • Chun, Je-Ran
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.93-98
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    • 2012
  • This study was to analyze the influences of various factors on the u-health service. Data was surveyed from experienced of u-Health service sectors. We measured legal support, IT-infra, user education, the user education, and the u-Health solution, are the critical success factors for the u-Health service. Also we evaluated u-Health services by survey data from the users. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to measure the weights among these factors. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The results of this paper could be the valuable references for the policy making process of the u-Health system in Korea.

Temperature and Wind Control of Virtual Warmth Image Using Fuzzy Reasoning Rule (퍼지 추론 규칙을 이용한 가상의 열 영상 온도와 풍향 제어)

  • Kang, Kyoung-Min;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.387-392
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    • 2008
  • 본 논문에서는 에너지 절약을 위한 방법으로 여름철 냉방의 적정 온도 및 풍향을 제어하기 위한 가상의 시뮬레이션을 목적으로 열 영상과 퍼지 추론 규칙을 적용한 온도 및 풍향 제어 기법을 제안한다. 온도 제어를 위한 가상 시뮬레이션에서 열 영상을 분석하기 위해서 영상을 $300{\times}400$의 크기를 가지는 색상 분포 영상으로 변환한다. 색상 분포 영상은 Red, Magenta, Yellow, Green, Sky, Blue의 온도 값을 가지는 R, G, B 값이며 각 색상은 $ 24.0^{\circ}C$에서 $27.0^{\circ}C$의 분포의 온도 값을 가진다. 색상 분포 영상은 아래 계층부터 레벨1에서 레벨10의 높이 계층으로 분류한다. 분류한 각 계층은 고유의 색상 분포도를 가지며 색상이 가지는 온도 수치에 따라서 계층별로 온도를 구성한다. 풍향 제어를 위한 각 계층의 높이는 레벨1에서 레벨3까지는 하위층이며, 레벨 4부터 레벨 7은 중간층, 레벨 8부터 레벨 10은 상위층으로 분류한다. 각 계층의 온도와 높이 레벨 값은 온도 조절과 풍향의 우선 순위, 강도 조절, 지속 시간을 구하기 위한 파라미터이다. 실내 공간의 전체적인 온도의 균형과 풍향을 제어하는 과정으로 풍향의 방향, 지속시간을 적용하고 풍향의 강도를 구하기 위해서 색상 분포영상의 각 구간의 온도 및 높이의 특징을 적용하여 퍼지 소속 함수를 설계한 후, 소속 함수의 소속도를 구하고 퍼지 추론 규칙을 적용하여 풍향의 강도를 구한다.

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A Relatively Importance Analysis on Smartphone's Functional Attributes Using AHP Method (AHP를 이용한 스마트폰 기능적 속성들의 상대적 중요도 분석)

  • Liu, Wen-Long;Jang, Hyeong-Yu
    • Management & Information Systems Review
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    • v.32 no.3
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    • pp.61-81
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    • 2013
  • The sharp increase of number of the smartphone users has drawn the attention of both academia and industry. The objectives of this research is to seek for the answers of what is the most important and relatively important function from the point view of smartphone users through empirical analysis. The goal is to provide valuable information for the smartphone developing and manufacturing industry. To reach the results, AHP method is applied in this study. First of all, the questionnaire survey was prepared based on the respondent in the basis of the extraction of the smartphone functional attribute factors from the references. Then, the importance of the functional attribute was attained by the Expert Choice program. In addition, customers satisfaction of the functional attribute of the present smartphone was analyzed. Furthermore, the research results were presented by the inspiration and limitation practically.

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Effects of Financial College Tuition Support by Korean Parents using a Hierarchical Bayes Model (계층적 베이즈 모형을 이용한 대학등록금에 대한 부모님의 경제적 지원 영향 분석)

  • Oh, Man-Suk;Oh, Hyun Sook;Oh, Min Jung
    • The Korean Journal of Applied Statistics
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    • v.26 no.2
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    • pp.267-280
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    • 2013
  • College tuition is a significant economic, social, and political issue in Korea. We conduct a Bayesian analysis of a hierarchical model to address the factors related to college tuition based on a survey data collected by Statistics Korea. A binary response variable is selected depending on if more than 70% of tuition costs are supported by parents, and a hierarchical Probit model is constructed with areas as groups. A set of explanatory variables is selected from a factor analysis of available variables in the survey. A Markov chain Monte Carlo algorithm is used to estimate parameters. From the analysis results, income and stress are significantly related to college tuition support from parents. Parents with high income tend to support children's college tuition and students with parents' financial support tend to be mentally less stressed; subsequently, this shows that the economic status of parents significantly affects the mental health of college students. Gender, a healthy life style, and college satisfaction are not significant factors. Comparing areas in terms of the degrees of correlation between stress/income and tuition support from parents, students in Kangwon-do are the most mentally stressed when parents' support is limited; in addition, the positive correlation between parents support and income is stronger in big cities compared to provincial areas.

Exploring Physical Environments, Demographic and Socioeconomic Characteristics of Urban Heat Island Effect Areas in Seoul, Korea (서울시 도시열섬현상 지역의 물리적 환경과 인구 및 사회경제적 특성 탐색)

  • Cho, Hyemin;Ha, Jaehyun;Lee, Sugie
    • Journal of the Korean Regional Science Association
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    • v.35 no.4
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    • pp.61-73
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    • 2019
  • Urban development and densification have led to the Urban Heat Island Effect, in which the temperature of urban space is higher than the surrounding areas, and the intensity is increasing with climate change. In addition, when the city's air temperature rises in summer, low-income, elderly population, and socially vulnerable people who have health problems lack the ability to cope with the elevated heat environment. Therefore, this study aimed to identify the urban heat island area of Seoul through Hotspot analysis, which is a spatial statistics technique, and explored physical environments, demographic and socioeconomic characteristics of urban heat island effect areas using logistic regression models. This study performed urban heat island hotspot analysis using the average air temperatures of the 423 administrative dongs in Seoul. Analysis results identified that the urban heat islands were concentrated in Jung-gu, Jongno-gu, Yongsan-gu, and Yeongdeungpo-gu. Logistic regression analysis results indicated that urban heat island areas of Seoul were affected by residential floor area ratio, commercial facility floor area ratio, overall floor area ratio, impervious surface ratio, and normalized difference vegetation index(NDVI). In addition, as a result of analyzing the vulnerable area of thermal environment considering the demographic and socioeconomic characteristics of the heat island area, urban heat island areas of Seoul were significantly associated with the proportion of low-income elderly living alone. The result of this study provided useful insights for urban thermal environmental design and policy development that could improve the thermal environment for the socially disadvantaged urban population.

An Efficient Detecting Scheme of Web-based Attacks through Monitoring HTTP Outbound Traffics (HTTP Outbound Traffic 감시를 통한 웹 공격의 효율적 탐지 기법)

  • Choi, Byung-Ha;Choi, Sung-Kyo;Cho, Kyung-San
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.1
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    • pp.125-132
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    • 2011
  • A hierarchical Web Security System, which is a solution to various web-based attacks, seemingly is not able to keep up with the improvement of detoured or compound attacks. In this paper, we suggest an efficient detecting scheme for web-based attacks like Malware, XSS, Creating Webshell, URL Spoofing, and Exposing Private Information through monitoring HTTP outbound traffics in real time. Our proposed scheme detects web-based attacks by comparing the outbound traffics with the signatures of HTML tag or Javascript created by the attacks. Through the verification analysis under the real-attacked environment, we show that our scheme installed in a hierarchical web security system has superior detection capability for detoured web-based attacks.

Performance Comparison between Interference Minimization and Signal Maximization in Multi-Cell Random Access Networks (다중 셀 랜덤 액세스 네트워크에서 간섭 최소화 기법과 신호 최대화 기법의 성능 비교)

  • Jo, Han-Seong;Jin, Hu;Jung, Bang Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.9
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    • pp.2014-2021
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    • 2015
  • Opportunistic interference alignment (OIA) has been proposed for multi-cell random access networks (RAN), which minimizes the generating interference to neighboring RANs and yields better performance compared with the conventional techniques. The OIA for RANs considers both physical (PHY) and medium access control (MAC) layers. In this paper, we introduce a protocol of which each user maximizes the transmit signal regardless of the generating interference to neighboring RANs, contrary to the OIA technique. In addition, we compare the performance of the signal-maximization technique with the OIA technique.

A Clustering Method using GHSOM for Processing Large Data (GHSOM을 이용한 대용량 데이터 처리의 군집화 방법)

  • Kim, Man-Sun;Lee, Sang-Yong
    • Annual Conference of KIPS
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    • 2002.11a
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    • pp.393-396
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    • 2002
  • 최근 대용량의 데이터베이스로부터 유용한 정보를 발견하고 데이터간에 존재하는 연관성을 탐색하고 분석하는 데이터 마이닝에 관한 많은 연구들이 진행되고 있다. 실제 응용분야에선 수집된 데이터는 시간이 지날수록 데이터의 양이 늘어나게 되고, 중복되는 속성과 잡음을 갖게 되어 마이닝 기법을 이용하는데 많은 시간과 비용이 소요된다. 또한 어느 속성이 중요한지 알 수 없어 중요한 속성이 중요하지 않은 속성에 의해 왜곡되거나 제대로 분석되지 않을 수 있다. 본 연구는 이러한 문제점들을 해결하기 위해 GHSOM을 이용한 계층적 신경망 군집화 방법을 제안한다. 제안하는 방법은 비리 군집의 개수를 정해줄 필요가 없고, 다양한 레벨의 군집들을 얻을 수 있는 계층적 군집화를 이루어낸다는 장점을 갖는다. 본 논문에서는 신경망 GHSOM의 구조와 특성에 대해 간략히 살펴보고 시스템 처리과정에 대해 설명한다.

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A Study on Priorities of the Key Competence of Port Logistics Enterprise using AHP Method (AHP 기법을 활용한 항만물류기업의 직업기초능력 우선순위 분석)

  • Park, Doojin
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.159-173
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    • 2014
  • This study is key competence port logistics companies analyze the priorities of evaluation factors. key competence index of NCS(National competency standard) was designed on the basis of the research model. The priorities of evaluation factors were analyzed using AHP method. The results of the analysis of 1 layer's key competence priorities are as follows: Interpersonal skills(0.217), communication skills(0.153), ability to develop problem(0.148), ability to understand the organization(0.103), and resource management skills(0.090), self-development ability and professional ethics(0.070), information skills(0.065), technical skills(0.049), numeracy skills(0.035).