• 제목/요약/키워드: network effects

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팀 기반 토의 수업에서 의사소통능력, 사회연결망 중심도, 토론성과 및 온라인 게시활동의 관계 연구 (A Study on the Relationship among Communication Competency, Social Network Centralities, Discussion Performance, and Online Boarding Activity in the Team Based Learning)

  • 허균
    • 수산해양교육연구
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    • 제27권1호
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    • pp.108-114
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    • 2015
  • The purpose of this study is to find the relationships among communication competency, social network centrality(trust centrality and knowledge sharing centrality), discussion performance, and online boarding activity in the team based learning situation. For investigating this topic, 44 students are participated in the classes of educational technology. In order to find out the relationships among communication competency, social network centrality, discussion performance, and online boarding activity, compared t-test and path analysis are used. Followings are the results of the research: (a) Communication competency is improved significantly after team based learning. (b) Trust centrality effects significantly on the knowledge sharing centrality. (c) Knowledge sharing effects significantly on discussion performance. (d) Trust centrality effects on the online boarding activity in the team based learning.

Supervised learning-based DDoS attacks detection: Tuning hyperparameters

  • Kim, Meejoung
    • ETRI Journal
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    • 제41권5호
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    • pp.560-573
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    • 2019
  • Two supervised learning algorithms, a basic neural network and a long short-term memory recurrent neural network, are applied to traffic including DDoS attacks. The joint effects of preprocessing methods and hyperparameters for machine learning on performance are investigated. Values representing attack characteristics are extracted from datasets and preprocessed by two methods. Binary classification and two optimizers are used. Some hyperparameters are obtained exhaustively for fast and accurate detection, while others are fixed with constants to account for performance and data characteristics. An experiment is performed via TensorFlow on three traffic datasets. Three scenarios are considered to investigate the effects of learning former traffic on sequential traffic analysis and the effects of learning one dataset on application to another dataset, and determine whether the algorithms can be used for recent attack traffic. Experimental results show that the used preprocessing methods, neural network architectures and hyperparameters, and the optimizers are appropriate for DDoS attack detection. The obtained results provide a criterion for the detection accuracy of attacks.

Prediction of moments in composite frames considering cracking and time effects using neural network models

  • Pendharkar, Umesh;Chaudhary, Sandeep;Nagpal, A.K.
    • Structural Engineering and Mechanics
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    • 제39권2호
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    • pp.267-285
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    • 2011
  • There can be a significant amount of moment redistribution in composite frames consisting of steel columns and composite beams, due to cracking, creep and shrinkage of concrete. Considerable amount of computational effort is required for taking into account these effects for large composite frames. A methodology has been presented in this paper for taking into account these effects. In the methodology that has been demonstrated for moderately high frames, neural network models are developed for rapid prediction of the inelastic moments (typically for 20 years, considering instantaneous cracking, and time effects, i.e., creep and shrinkage, in concrete) at a joint in a frame from the elastic moments (neglecting instantaneous cracking and time effects). The proposed models predict the inelastic moment ratios (ratio of elastic moment to inelastic moment) using eleven input parameters for interior joints and seven input parameters for exterior joints. The training and testing data sets are generated using a hybrid procedure developed by the authors. The neural network models have been validated for frames of different number of spans and storeys. The models drastically reduce the computational effort and predict the inelastic moments, with reasonable accuracy for practical purposes, from the elastic moments, that can be obtained from any of the readily available software.

사회적기업가 정신과 조직성과간의 네트워크 조절효과: 제주지역 사회적기업 근로자를 대상으로 (Network Moderating Effects between Social Entrepreneurship and Organizational Performance: Focus on Jeju areas Social Enterprise Workers)

  • 강문실;김윤숙
    • 서비스연구
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    • 제6권4호
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    • pp.15-34
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    • 2016
  • 본 연구는 사회적기업가 정신이 조직성과에 미치는 영향을 알아보고, 사회적기업가 정신이 조직성과에 미치는 영향에 대한 네트워크의 조절효과를 알아보기 위하여 수행되었다. 이를 위해 사회적기업 근로자들을 대상으로 189명으로부터 수집된 자료를 SPSS 18.0 프로그램을 사용하여 분석하였다. 분석결과 첫째, 사회적기업가 정신 하위요인 혁신성, 진취성, 사회적가치지향성은 사회적성과에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 사회적기업가 정신 하위요인인 진취성, 위험감수성, 사회적가치지향성과 경제적성과에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 네트워크는 사회적기업가 정신 하위요인 중 혁신성, 진취성, 사회적가치지향성과 사회적성과에 미치는 영향력을 유의하게 조절하는 것으로 나타났다. 넷째, 네트워크는 사회적기업가 정신의 하위요인 중 진취성과 경제적성과에 미치는 영향력을 유의하게 조절하는 것으로 나타났다. 이러한 결과는 사회적기업에서 사회적기업가 정신이 네트워크를 활성화시킴으로써 조직성과가 높이는데 효과적일 수 있음을 알 수 있었으며, 조사방법과 관련하여 후속연구에 유용한 접근방법을 제안하고 있다.

교환/전송 기술진화에 따른 전화교환망 구조변화-시뮬레이션 모형에 의한 사례 분석- (Estimating Telephone Network Structure and Investment Cost Changes)

  • 송석재;장석권;전용수
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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    • pp.138-141
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    • 1997
  • In this study, a simulation model is developed to analyze the effects of routing and scale-economy of transmission facilities on the traffic network topology and investment cost changes in a metropolitan telephone network. Computational experiments showed that the wide deployment of bifurcated routing in a dual-homing configuration reduces significantly the traffic network connectivity and the investment cost. Its enhanced version, when combined with the subscriber network cost model, can be used as a prototype cost proxy model for figuring out the access charges in a multi-operator environment.

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An Efficient Handover Mechanism Using the General Switch Management Protocol on a Multi-Protocol Label Switching Network

  • Choi, Seong-Gon;Kang, Hyun-Joo;Choi, Jun-Kyun
    • ETRI Journal
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    • 제25권5호
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    • pp.369-378
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    • 2003
  • Using the general switch management protocol on a multi-protocol label switching network, we present an efficient method for handling handovers. The proposed method directly changes an established path into a new path for supporting a handover. Our investigation reveals the effects of the proposed scheme and demonstrates that this method significantly reduces signaling costs and delays.

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The Mediating Effects of the Process Design Capability and Product Interior Design Capability on the Relationship between SMEs' External Information Network Diversity and Their New Technology Development Capability

  • Hau, Yong Sauk
    • Asia pacific journal of information systems
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    • 제26권4호
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    • pp.477-488
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    • 2016
  • New technology development capability plays a key role in making small- and medium-sized enterprises (SMEs) increase their innovation performance, such as in product or process innovation. To examine the influencing factors of SMEs' new technology development capability, this study empirically analyzes the mediating effects of SMEs' process design capability and product interior design capability on the positive association between their external information network diversity and new technology development capability. This study performs the ordinary least squares regression on a sample of 2,000 South Korean SMEs. Results reveal that SMEs' process design capability fully mediates, and product interior design capability partially mediates the positive association between the external information network diversity and new technology development capability.

Effects of Psychological Style on On-line Network Connectivity

  • 조남재;박기호;박상혁
    • 디지털융복합연구
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    • 제1권1호
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    • pp.147-164
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    • 2003
  • The use of electronic mail and messenger software tools has been increased rapidly over a decade. Compared to the variety of research related to the relationship between personal psychological traits and communication modes, effects of human psychology on online activities have only recently become a focus of interest. This research analyzed the relationship between personal psychological type and online connectivity. We employed network analysis methodology and collected and analyzed data from 146 subjects. Significant differences in network measures were found among groups with different psychological style. Findings of the research can provide several implications for managerial activities regarding social connectivity.

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네트워크형 지하도로 입체교차로 내의 교통환기력에 의한 환기 특성 (Ventilation Characteristics by Traffic Piston Effect in Underground Network-type Road Junction)

  • 김남영;조종복;한화택
    • 설비공학논문집
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    • 제27권7호
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    • pp.337-343
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    • 2015
  • This paper investigates the ventilation characteristics in a two-dimensional underground network junction composed of four main lines interconnected by eight ramps. Simple one-dimensional models cannot be applied to network junctions since there are interferences of traffic piston effects in the main lines and at the ramps. A numerical algorithm was developed to analyze the pressure and airflow distributions iteratively. The Darcy-Weisbach equation was used to calculate the piston effects by traffic flows, and a Hardy Cross iteration was conducted for network analysis at the interconnected junction. The results show interesting ventilation characteristics and CO concentration distributions depending on system parameters such as vehicle speed, tunnel diameter, and other junction configurations.

Improved Characteristic Analysis of a 5-phase Hybrid Stepping Motor Using the Neural Network and Numerical Method

  • Lim, Ki-Chae;Hong, Jung-Pyo;Kim, Gyu-Tak;Im, Tae-Bin
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제11B권2호
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    • pp.15-21
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    • 2001
  • This paper presents an improved characteristic analysis methodology for a 5-phase hybrid stepping motor. The basic approach is based on the use of equivalent magnetic circuit taking into account the localized saturation throughout the hybrid stepping motor. The finite element method(FEM) is used to generate the magnetic circuit parameters for the complex stator and rotor teeth and airgap considering the saturation effects in tooth and poles. In addition, the neural network is used to map a change of parameters and predicts their approximation. Therefore, the proposed method efficiently improves the accuracy of analysis by using the parameter characterizing localized saturation effects and reduces the computational time by using the neural network. An improved circuit model of 5-phase hybrid stepping motor is presented and its application is provided to demonstrate the effectiveness of the proposed method.