• Title/Summary/Keyword: 네트워크 특성

Search Result 4,179, Processing Time 0.035 seconds

Development and Application of Reliability Index based on Hydraulic Uniformity in Water Distribution Networks (상수관망의 수리학적 균등성을 이용한 신뢰도 지표의 개발 및 적용)

  • Jeong, Gimoon;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2019.05a
    • /
    • pp.6-6
    • /
    • 2019
  • 상수관망시스템은 공급원으로부터 수요처까지의 용수공급을 위해 구축된 관수로 기반의 사회기반시설물로서, 주로 생활 및 산업 용수를 공급하므로 대규모 사회 경제적 피해를 방지하기 위해서는 안정적인 용수공급 능력이 요구된다. 네트워크의 다양한 특성에 의해 표현되는 상수관망시스템의 신뢰도(reliability)는 크게 시스템 내 구성요소의 안정성(mechanical reliability)과 용수공급의 기능적 안정성(hydraulic reliability)으로 구분할 수 있다. 특히, 시스템의 용수공급 안정성에 주목한 수리학적 신뢰도 연구는 많은 연구자들에 의해 지속적으로 수행된 바 있으며, 다양한 평가방법 및 지표들이 제시되어 활용 중에 있다. 기존의 수리학적 신뢰도 지표들은 주로 수요절점(demand node)에서의 공급가능 수량 및 수압을 바탕으로 산정되었다. 그러나, 절점(node)에서의 공급 상태는 결과에 해당하며, 원인 분석을 위해서는 관로(pipe)의 배치 및 규격을 분석해야 하는 번거로움이 존재한다. 이러한 단점을 보완하기 위해, 본 연구에서는 직접 관로(pipe)의 공급 특성을 분석하여 네트워크의 신뢰도를 평가함으로써, 신뢰도 저하의 원인 분석 및 시스템 개선에 효율적으로 활용할 수 있는 신뢰도 지표를 산정하고자 하였다. 본 연구에서는 상수관로 내 수리학적 기울기가 전반적으로 균등할수록 설계 비용대비 공급 신뢰도, 즉 용수공급 효율이 개선되는 특징을 바탕으로, 네트워크 내 총 에너지 손실로부터 각 관로의 길이, 유량 등의 특성을 고려한 등가 수리경사(Equivalent hydraulic gradient)를 유도하여 모든 관로의 적정 수리경사로 제안하였다. 따라서 각 관로의 실제 수리경사를 대상으로 관로별 수리학적 균등성 지수(pipe hydraulic uniformity index)를 산정하였으며, 더 나아가 전체 시스템의 균등성 지수(system hydraulic uniformity index)를 산정하였다. 제안된 신뢰도 지표는 가상의 네트워크에서 지역 내 용수 사용량이 증가하는 등 용수공급 안정성을 저해하는 몇 가지 시나리오를 바탕으로 검증하였으며, 또한 기존 지표들의 신뢰도 평가 결과와 비교, 분석하였다. 본 연구는 향후 네트워크 최적 설계의 목적함수로 활용하거나, 네트워크의 보강계획 수립에 기여할 것으로 기대된다.

  • PDF

Performance Evaluation of a Machine Learning Model Based on Data Feature Using Network Data Normalization Technique (네트워크 데이터 정형화 기법을 통한 데이터 특성 기반 기계학습 모델 성능평가)

  • Lee, Wooho;Noh, BongNam;Jeong, Kimoon
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.29 no.4
    • /
    • pp.785-794
    • /
    • 2019
  • Recently Deep Learning technology, one of the fourth industrial revolution technologies, is used to identify the hidden meaning of network data that is difficult to detect in the security arena and to predict attacks. Property and quality analysis of data sources are required before selecting the deep learning algorithm to be used for intrusion detection. This is because it affects the detection method depending on the contamination of the data used for learning. Therefore, the characteristics of the data should be identified and the characteristics selected. In this paper, the characteristics of malware were analyzed using network data set and the effect of each feature on performance was analyzed when the deep learning model was applied. The traffic classification experiment was conducted on the comparison of characteristics according to network characteristics and 96.52% accuracy was classified based on the selected characteristics.

Structural Properties of Social Network and Diffusion of Product WOM: A Sociocultural Approach (사회적 네트워크 구조특성과 제품구전의 확산: 사회문화적 접근)

  • Yoon, Sung-Joon;Han, Hee-Eun
    • Journal of Distribution Research
    • /
    • v.16 no.1
    • /
    • pp.141-177
    • /
    • 2011
  • I. Research Objectives: Most of the previous studies on diffusion have concentrated on efficacy of WOM communication with the use of variables at individual level (Iacobucci 1996; Midgley et al. 1992). However, there is a paucity of studies which investigated network's structural properties as antecedents of WOM from the perspective of consumers' sociocultural propensities. Against this research backbone, this study attempted to link the network's structural properties and consumer' WOM behavior on cross-national basis. The major research objective of this study was to examine the relationship between network properties and WOM by comparing Korean and Chinese consumers. Specific objectives of this research are threefold; firstly, it sought to examine whether network properties (i.e., tie strength, centrality, range) affect WOM (WOM intention and quality of WOM). Secondly, it aimed to explore the moderating effects of cutural orientation (uncertainty avoidance and individuality) on the relationship between network properties and WOM. Thirdly, it substantiates the role of innovativeness as antecedents to both network properties and WOM. II. Research Hypotheses: Based on the above research objectives, the study put forth the following research hypotheses to validate. ${\cdot}$ H 1-1 : The Strength of tie between two counterparts within network will positively influence WOM effectivenes ${\cdot}$ H 1-2 : The network centrality will positively influence the WOM effectiveness ${\cdot}$ H 1-3 : The network range will positively influence the WOM effectiveness ${\cdot}$ H 2-1 : The consumer's uncertainty avoidance tendency will moderate the relationship between network properties and WOM effectiveness ${\cdot}$ H 2-2 : The consumer's individualism tendency will moderate the relationship between network properties and WOM effectiveness ${\cdot}$ H 3-1 : The consumer's innovativeness will positively influence the social network properties ${\cdot}$ H 3-2 : The consumer's innovativeness will positively influence WOM effectiveness III. Methodology: Through a pilot study and back-translation, two versions of questionnaire were prepared, one in Korean and the other in Chinese. The chinese data were collected from the chinese students enrolled in language schools in Suwon city in Korea, while Korean data were collected from students taking classes in a major university in Seoul. A total of 277 questionnaire were used for analysis of Korean data and 212 for Chinese data. The reason why Chinese students living in Korea rather than in China were selected was based on two factors: one was to neutralize the differences (ie, retail channel availability) that may arise from living in separate countries and the second was to minimize the difference in communication venues such as internet accessibility and cell phone usability. SPSS 12.0 and AMOS 7.0 were used for analysis. IV. Results: Prior to hypothesis verification, mean differences between the two countries in terms of major constructs were performed with the following result; As for network properties (tie strength, centrality and range), Koreans showed higher scores in all three constructs. For cultural orientation traits, Koreans scored higher only on uncertainty avoidance trait than Chinese. As a result of verifying the first research objective, confirming the relationship between network properties and WOM effectiveness, on Korean side, tie strength(Beta=.116; t=1.785) and centrality (Beta=.499; t=6.776) significantly influenced on WOM intention, and similar finding was obtained for Chinese side, with tie strength (Beta=.246; t=3.544) and centrality (Beta=.247; t=3.538) being significant. However, with regard to WOM argument quality, Korean data yielded only centrality (Beta=.82; t=7.600) having a significant impact on WOM, whereas China showed both tie strength(Beat=.142; t=2.052) and centrality(Beta=.348; t=5.031) being influential. To answer for the second research objective addressing the moderating role of cultural orientation, moderated regression anaylsis was performed and the result showed that uncertainty avoidance moderated between network range and WOM intention for both Korea and China, But for Korea, the uncertainty avoidance moderated between tie strength and WOM quality, while for China it moderated between network range and WOM intention. And innovativeness moderated between tie strength and WOM intention for Korea but it moderated between network range and WOM intention for China. As a result of analysing for third research objective, we found that for Korea, innovativeness positively influenced centrality only (Beta=.546; t=10.808), while for China it influenced both tie strength (Beta=.203; t=2.998) and centrality(Beta=.518; t=8.782). But for both countries alike, the innovativeness influenced positively on WOM (WOM intention and WOM quality). V. Implications: The study yields the two practical implications. Firstly, the result suggests that companies targeting multinational customers need to identify segments which are susceptible to the positive WOM and WOM information based on individual traits such as uncertainty avoidance and individualism and based on that, develop marketing communication strategy. Secondly, the companies need to divide the market on Roger's five innovation stages and based on this information, enforce marketing strategy which utilizes social networking tools such as public media and WOM. For instance, innovator and early adopters, if provided with new product information, will be able to capitalize upon the network advantages and thus add informational value to network operations using SNS or corporate blog.

  • PDF

An Analysis of Learning Objective Characteristics of Educational Programs of Centers for the University Affiliated Science-Gifted Education Using Semantic Network Analysis (언어네트워크분석을 활용한 대학부설 과학영재교육원 교육프로그램의 학습목표 특성 분석)

  • Park, Kyeong-Jin;Ryu, Chun-Ryol;Choi, Jinsu
    • Journal of Gifted/Talented Education
    • /
    • v.27 no.1
    • /
    • pp.17-35
    • /
    • 2017
  • The purpose of this study is to analyze the learning objectives characteristics of educational programs of centers for the university affiliated science-gifted education using semantic network analysis, we examined the applicability of semantic network analysis in analyzing learning objectives by comparing the results of analysis with Bloom's revised taxonomy. For this purpose, 702 learning objectives presented in 169 science subjects were selected as subjects to be analyzed. After classifying and coding the learning objectives according to Bloom's revised taxonomy, we conducted a semantic network analysis to investigate the relationship between learning objectives. The results of the analysis are as follows. First, we looked at the number of learning objectives used for each subject, and about 3 elementary school levels and about 6 middle school levels were used. Second, the knowledge dimension such as 'factual and conceptual knowledge' and cognitive process dimension such as 'remember', 'understand', and 'create' was high regardless of the research method and school level. Third, the results of analysis based on the weighting through the semantic network analysis method, the elementary school level emphasize activities th be applied to the actual experimental process through learning about scientific facts, while the middle school level emphasize the understanding of scientific facts and concepts themselves. As a result, it can be seen that the semantic network analysis can analyze characteristics of various learning objectives rather than the conventional simple statistical analysis.

The Status and Network Characteristics of Regional Innovation Support Agencies(company support agencies and R&D institutes) in Daegu City, Korea (대구지역 기업지원 및 연구기관 현황과 네트워크의 특성)

  • Lee, Chul-Woo;Kim, Myeong-Yeob
    • Journal of the Korean association of regional geographers
    • /
    • v.11 no.5
    • /
    • pp.391-404
    • /
    • 2005
  • This paper attempts to show the status and network characteristic of regional innovation support agencies(company support agencies and R&D institutes, RISA) which play an important role in the regional system of innovation in Daegu City, using questionnaire data. Most of these agencies were established in 1990s and tend to locate in Buk-Gu and Dalsu-Gu, being major local universities which retain a large number of R&D and industry support agencies. The business areas of the agencies are largely associated with business training and applied research. Their major role is to provide the information that local firms need to acquire. It shows that they have relationships with 1 to 5 agencies, primarily in the form of informal network, for the purpose of sharing information and knowledge about science/technology and market trend. There are not many spin-offs from RISA. But most of spin-offs from RISA are located in Daegu City and maintain cooperative relationships with their parent organization primarily in the form of formal network. The main purpose of cooperative relationships with RISA is to interchange knowledges about technology.

  • PDF

The effect of mutual cooperation between the Patent applicants on the Technological Innovation in ICT (특허 출원인 간 상호협력이 기술혁신에 미치는 영향)

  • Ju, Seong-Hwan
    • Journal of Digital Convergence
    • /
    • v.14 no.10
    • /
    • pp.83-93
    • /
    • 2016
  • In this paper, I study to determine the effect on patent applicants across the network characteristics of innovation in the ICT sector in Korea. For that, I use the Social Network Analysis(SNA) and the Negative Binomial Regression(NBR). The results about the innovation network in Korea ICT is very dense type. And the degree centrality and the closeness centrality had such a positive effect on innovation performance. Also, the efficiency had not reached a significant effect and the constraint was found to have a negative effect on innovation performance. In the future, based on these results, we need to plan a proper policy of the Korea Technology Innovation Policy.

Scanning Worm Detection Algorithm Using Network Traffic Analysis (네트워크 트래픽 특성 분석을 통한 스캐닝 웜 탐지 기법)

  • Kang, Shin-Hun;Kim, Jae-Hyun
    • Journal of KIISE:Information Networking
    • /
    • v.35 no.6
    • /
    • pp.474-481
    • /
    • 2008
  • Scanning worm increases network traffic load and result in severe network congestion because it is a self-replicating worm and send copies of itself to a number of hosts through the Internet. So an early detection system which can automatically detect scanning worms is needed to protect network from those attacks. Although many studies are conducted to detect scanning worms, most of them are focusing on the method using packet header information. The method using packet header information has long detection delay since it must examine the header information of all packets entering or leaving the network. Therefore we propose an algorithm to detect scanning worms using network traffic characteristics such as variance of traffic volume, differentiated traffic volume, mean of differentiated traffic volume, and product of mean traffic volume and mean of differentiated traffic volume. We verified the proposed algorithm by analyzing the normal traffic captured in the real network and the worm traffic generated by simulator. The proposed algorithm can detect CodeRed and Slammer which are not detected by existing algorithm. In addition, all worms were detected in early stage: Slammer was detected in 4 seconds and CodeRed and Witty were detected in 11 seconds.

Extracting and Transmitting Video Streams based on H.264 SVC in a Multi-Path Network (다중경로 네트워크에서 H.264 SVC에 기반한 비디오 스트링 추출 및 전송 기법)

  • Ryu, Eun-Seok;Lee, Jung-Hwan;Yoo, Hyuck
    • Journal of KIISE:Information Networking
    • /
    • v.35 no.6
    • /
    • pp.510-520
    • /
    • 2008
  • These days, the network convergence for utilizing heterogeneous network on mobile device is being very actively studied. However, understanding characteristics of physical network interfaces and video encoder is needed for using the network convergence technologies efficiently. Thus, this paper proposes an optimized method for streaming video data through different network paths depending on data characteristics and channel condition. Accordingly, unlike the traditional methods, this study divides scalable coded videos by layer importance, the importance of stream information, and the importance in consideration of video decoder's robustness and selectively sends the data via multiple channels. And the experimental results show over 1dB increment in PSNR. The result of this study will provide an optimized video transmission technique in the next generation network convergence environment in which mobile devices have multiple network interfaces.

A Case Study of The Participant Network of Community Media in Seoul: Mapo FM Community Media (공동체 미디어의 참여자 네트워크 특성과 의미 분석: 마포FM 사례를 중심으로)

  • Jang, Si-Yeon;Chae, Young-Gil
    • The Journal of the Korea Contents Association
    • /
    • v.16 no.5
    • /
    • pp.720-731
    • /
    • 2016
  • This study aims to understand characteristics and roles of community media in Seoul to discuss the meanings of the media. Community media is constructed based upon the networks of relations of community participants, whose characteristic relations of participants within the network determines the roles and meanings of the media for the community. Research have shown that community media's unique open, participatory, and horizontal communicative structures enable to realize such objects. For this study, we chose Mapo FM to conduct case study based upon network analysis of 'participant network' of the media. In particular, we tried to measure the density and centrality of the network, which can explain the relational characteristics of the networks of the media. In addition, we also conducted in-depth interviews of participants to better understand the problems and meanings of the community media. The findings suggest that unlike the conceptual and theoretical assumptions, the community media under the study lacks of open, participatory, and horizontal ways of participation in the media.

A Study on the Structural Characteristics of Collaborative Network of Multicultual Agencies : with a Special Reference to Busan Area (다문화지원기관 협력네트워크의 구조적 특성 - 부산지역을 중심으로 -)

  • Koo, Bon-Jin;Lee, Yeon-Ok;Chang, Durk-Hyun
    • Journal of Korean Library and Information Science Society
    • /
    • v.46 no.4
    • /
    • pp.403-426
    • /
    • 2015
  • This study attempts to analyze the structure of collaborative network among multicultural agencies in Busan area. The survey was conducted with such agencies as multicultural family support centers, regional government offices, public libraries, social welfare centers, and other NGO-supported agencies, in order to analyze the structural features of the network. The results of the study indicate that cooperative networks are hardly in action except for the one among agencies which share their function, roles, and characteristics in common, that regional government offices and multicultural family support centers have high density networks with other agencies and performed major roles. Public libraries, however, only collaborate with other libraries, or did not participated in the networks, which indicates that endeavors of public libraries to cooperate with other multicultural agencies is needed.