• Asian Journal of Business Environment
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• 제11권1호
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• pp.27-37
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• 2021

Purpose: This article aims to provide a balanced understanding of the structural conditions and social processes involved in the creation and diffusion of innovation. Research design, data and methodology: Drawing on organizational and economic sociology and strategic management literature, this article offers a conceptual framework that highlights the two dimensions of network structures: the vertical dimension focusing on power and legitimacy vs. the horizontal dimension highlighting information value. By organizing the literature on the functions and consequences of network, this paper advances a theoretical perspective in understanding the vast array of empirical studies on innovation involving network analysis. Results: Using the proposed framework, this article explains how the mechanisms of power, legitimacy, and information value work together with social structural factors, thus enriching our understanding of innovation. This study reveals that the information mechanism (horizontal dimension) has been most important in innovation creation and diffusion, and that trust, credibility, and legitimacy are operative in innovation diffusion. Conclusions: This paper contributes to the literature by responding to calls to extend existing frameworks to better account for the dynamics between innovation and network. In addition, this article highlights how conceptualizing innovation within the horizontal-vertical dimensions of network structures, creates new opportunities for future research.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.89-100
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• 2021

Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

• Journal of Information Processing Systems
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• 제18권3호
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• pp.443-456
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• 2022

An efficient and reasonable resource allocation strategy can greatly improve the service quality of Internet of Vehicles (IoV). However, most of the current allocation methods have overestimation problem, and it is difficult to provide high-performance IoV network services. To solve this problem, this paper proposes a network resource allocation strategy based on deep learning network model DDQN. Firstly, the method implements the refined modeling of IoV model, including communication model, user layer computing model, edge layer offloading model, mobile model, etc., similar to the actual complex IoV application scenario. Then, the DDQN network model is used to calculate and solve the mathematical model of resource allocation. By decoupling the selection of target Q value action and the calculation of target Q value, the phenomenon of overestimation is avoided. It can provide higher-quality network services and ensure superior computing and processing performance in actual complex scenarios. Finally, simulation results show that the proposed method can maintain the network delay within 65 ms and show excellent network performance in high concurrency and complex scenes with task data volume of 500 kbits.

• 한국콘텐츠학회논문지
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• 제15권10호
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• pp.387-399
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• 2015

최근 보건의료분야에서는 협동연구를 위한 연구팀을 구성하기 위해 협업네트워크를 구축하고 연구자 역할을 파악함으로서 분야별 전문가 집단을 도출하고 있는 추세다. 본 연구는 1개 전문암센터 연구자들을 대상으로 기관 내 연구자들의 역할을 분석하고 협동연구 형태를 확인하기 위해 공저자 네트워크 분석을 수행하였다. 분석 자료는 2000년부터 2010년까지 SCI(E)에 발표한 연구논문 1,194건의 논문 저자 2,437명을 대상으로 중심성 분석을 하였다. 공저자 네트워크는 논문 수만 반영된 단순 중심성 값과 논문 수, 학술지 영향력 지수, 저자 기여도가 반영된 가중치 중심성 값을 산출하여 연구자 역할에 유의한 차이가 있는지 분석하였다. 단순 중심성 값과 가중치 중심성 값에 의한 연구자별 순위는 통계학적으로 유의하게 차이가 있었다(t=11.66, p=0.00). 논문의 다양한 속성이 고려된 공저자 네트워크 분석 결과는 연구자의 역할에 대한 보다 객관적인 자료를 제공함으로서 협동연구 수행을 위한 분야별 전문가를 확인할 수 있는 자료로 활용이 가능할 것이다.

• 경영정보학연구
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• 제6권2호
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• pp.1-24
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• 2004

세계적으로 새로운 정보사회의 기반을 구축하기 위한 노력이 진행되고 있으며, 이에 발맞추어 우리 나라에서도 1995년부터 2003년까지 정부와 민간 모두 약 20조 5천억원의 재원을 들여 세계 최고수준의 정보통신인프라를 보유하게 되었다. 이와같은 국가차원의 주요 투자사업에 대한 성과분석을 위해 본 연구에서는 초고속정보통신망 구축을 통해 발생하는 효과의 파급경로와 각 경로에서의 가치사슬을 정의하여 정보화와 IT산업효과와 가치를 추정하였다. 분석결과 초고속정보통신망 구축사업에 의해 $1995{\sim}2003$년간 149조 5천억원의 통신장비 및 서비스시장, 23만명의 고용유발, 10조원의 부가가치 창출하였으며, 초고속정보통신 시장 44조 5천억원, 구축에 의한 생산유발 26조원, 초고속정보통신을 이용하기 위한 기기 생산 78조원의 시장 창출하였다. 이와같은 IT시장의 확대는 2002년 국내 GDP중 IT산업이 차지하는 비중이 14.9%, 국가 경제성장에서 IT산업이 차지하는 기여도가 31% 수준에 육박하는 것으로 나타나고 있다. 또한 초고속정보통신망의 구축은 정보화효과 파급에 기여하고 있다. 정보화를 통한 경제성장 효과, 공공부문의 통신비용 및 행정효율화효과, 개인 삶의 질 향상효과 등이 발생하는데 있어 초고속정보통신망은 중요한 역할을 담당하고 있다. 그리고 세계적 수준의 초고속정보통신 구축은 한국의 국제적 이미지 개선을 통한 가치를 창출하고 있다.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.197-224
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• 2020

Mobile games have become one of the most important driving forces of the game industry. We focus on the continuous intention to use Chinese mobile games from the perspective of experiential marketing and network externalities. We integrate user experience, network externalities and flow theory into expectation confirmation model and explore the influencing factors of continuous usage intention of Chinese mobile game and propose a research model. Game experience, service experience, perceived enjoyment, social interaction, challenge, perceived number of users and perceived number of peers were employed as independent variables, while flow, perceived value and satisfaction as mediating variables and continuous intention as the dependent variable. After surveying 426 samples, the model is tested with structural equation model. The results reveal that perceived enjoyment significantly positively influences perceived value, flow, satisfaction, and continuous intention. The greater the enjoyment of the game, the greater the satisfaction of the game and the greater the willingness to use it continuously. Game experience has a significant direct effect on continuous intention, which indicates that a better game experience can retain more users. Service experience and perceive number of peers positively influence satisfaction. Another finding is that social interaction and perceived number of users positively influence perceived value and flow, which indicate that social attributes are critical roles for retaining users. Game challenge also positively influences flow. The proper level of challenge is more likely to cause users to enter the state of flow. Flow indirectly influences continuous usage intention through the satisfaction of the game, which indicates that satisfaction is driven by flow experience and further retaining users. Empirical results implied that mobile game companies need to focus on improving user experience, expectation satisfaction and extending network externalities to improve the continuous intention of using mobile game.

• 한국전자통신학회논문지
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• 제7권4호
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• pp.727-732
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• 2012

본 논문은 DCT, DWT와 역전파 신경망을 이용하여 MIT-BIH 부정맥 데이터베이스의 심전도 신호로부터 정상파와 부정맥 분류를 제안하였다. 역전파 신경망에 사용할 특징입력을 추출하기 위해 첫 번째 단계에서는 DCT 변환을 이용하여 15개의 계수를 선택하였다. 두 번째 단계에서는 DWT 변환 후 각 detail 계수들의 최대값, 최소값, 평균, 분산, 표준편차를 추출하였다. 역전파 신경망은 55개의 특징입력을 이용하여 정상파와 부정맥 파형을 분류하였고, 98.8%의 분류 성능을 나타냈다.

• 지식경영연구
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• 제12권5호
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• pp.59-69
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• 2011

The popularity of the social media has enabled growth of the social network, which has a big impact on culture and arts sector. The impact is based on the fact that news and evaluation of performances are communicated actively through the use of on-line community, and that the advent of social commerce makes more people see better performance at a lower price. Besides, collaboration programs called Social Sourcing are springing up in the arts sector, and there is Crowd Funding for culture & arts which is a desirable form of social funding. In this way social media and social network service (SNS) have huge social influence not only on the performing arts sector but also on the whole culture and arts sector, and are expected to have growing dominance. With SNS - which opened new marketing, publicity and donation system not only for the whole society but also for the culture and arts sector - in mind, this paper handles the topics on understanding of close relationship between SNS and performing arts, and on its current usage, value and endless possibilities. By presenting the practical value and the possibilities, this paper will help in making smooth the communication between stakeholders and audience of performing arts, in making effective the means of performance delivery, and in making enlarged the mutual understanding between performers and audience. This paper will also be the basis of an alternative means, which presents the performing arts sector with possibilities to get out of the chronic deficit.

• 대한건축학회연합논문집
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• 제20권6호
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• pp.17-23
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• 2018

The purpose of this study is to suggest 100MPa class ultra high strength concrete mix design model applying neural network theory, in order to minimize an effort wasted by trials and errors method until now. Mix design model was applied to each of the 70 data using binary binder, ternary binder and quaternary binder. Then being repeatedly applied to back-propagation algorithm in neural network model, optimized connection weight was gained. The completed mix design model was proved, by analyzing and comparing to value predicted from mix design model and value measured from actual compressive strength test. According to the results of this study, more accurate value could be gained through the mix design model, if error rate decreases with the test condition and environment. Also if content of water and binder, slump flow, and air content of concrete apply to mix design model, more accurate and resonable mix design could be gained.

• 정보보호학회논문지
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• 제19권4호
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• pp.41-49
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• 2009

유비쿼터스 센서 네트워크에서 센서 노드들은 불리한 환경에 배치되므로 공격자에 의해 훼손될 수 있다. 훼손된 노드들은 허위 감지 보고서들을 네트워크에 주입하는데 사용할 수 있는데 이러한 허위 보고서들은 허위 경보를 유발할 수 있을 뿐만 아니라, 네트워크의 제한된 에너지 자원도 고갈시킬 수 있다. 허위 보고서 여파를 위한 보안 기법들에서, 보안성을 결정하는 보안 경계 값의 선택은 매우 중요하다. 기존의 적응적 보안 기법들에서는 경계 값의 결정이 전체 노드들에게도 적용되어 에너지 자원을 불필요하게 소모하는 문제점을 가진다. 본 논문에서는 충분한 보안성을 제공하면서 에너지를 절약할 수 있는 보안 경계 값 결정을 위하여 재귀적 계약망 프로토콜 적용 기법을 제안한다. 보다 효과적으로 네트워크를 운용하기 위하여, 네트워크를 계층척으로 그룹핑하고, 각 그룹에 대하여 재귀적으로 계약 망 프로토콜이 적용된다. 이를 통해 베이스 스테이션에서 퍼지 로직을 사용하여 결정된 경계 값은 보안 공격이 발생한 지역에 국한되어 적용된다.