• Proceedings of the IEEK Conference
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• 2003.11c
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• pp.183-186
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• 2003

In this paper, performance evaluation of HNCP home network is using stochastic activity network models is proposed. HNCP is a home network protocol for controling and monitoring home appliances using power line communication. a CSMA/CA with packet drop method is used in HNCP MAC layer. Using the proposed stochastic activity network models. performances of HNCP home networks with error-free environment and error environment are evaluated.

• Journal of Korean Society of Rural Planning
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• v.23 no.2
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• pp.9-17
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• 2017

Rural development policy has changed from hardware based development to community revitalization. The purpose of this study is to analyze social network of collaborative activity among rural organizations as fundamental of community. The material used in this study is a record of collaborative activites in the community newsletter of Hong-Dong area. 161 of collaborative activities (links) and 75 of organizations (nodes) are investigated in network. 6 collaborative activity type ('Education', 'Socializing', 'Meeting', 'Culture', 'Event' and 'Labor') is classified. 'Socializing' is inclusive of approximately half of whole network (50.67%). Closeness centraization, degree centralization and betweenness centralization are measured on top in 'Education', 'Meeting' and 'Event' type. Scatter plot analysis using degree and betweenness centrality index, 'Maeul Revitalization Center', 'Balmak Library', 'Woori-Maeul Medical Co-op', 'Support Center for Female Farmers', 'Hongdong Middle School' and 'Mundang Sustainable Agriculture Education Center' are resulted as the core organization in network. Geographical distribution of collaborative activity is not only concentated in Hong-Dong Myeon but also networked with adjacent administrative district. This study finds its purpose in the detailed analysis of network characteristics of collaborative activity within Hong-Dong area which is representative developed rural community in Korea.

• Korean Management Science Review
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• v.19 no.1
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• pp.179-188
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• 2002

Ventures through technological innovation are increasingly suggested as one of the main engines for economic growth that can help control inflation and black trade balance. The Purpose of this study is to extract the network performance factors for ventures according to ventures life cycle. For the Purpose, the existing studies were examined into start-up company, entrepreneurial firm, smell firms with competitive advantage against large firms, and ventures network activity. And 63 samples from ventures in Korea were taken and analyzed empirically. The analyses and results are (1) the actual conditions of network activity on ventures; (2) the investigation of relationship between network activity and performance of ventures by venture's life cycle through the observations of Korean ventures. From the results, It Is also found that factors such as external environment and a ventures life cycle have been considered as the main influences on the performance of ventures. In addition, limitations and suggestions for further studies are noted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4801-4811
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• 2011

The purpose of this study is to examine the factors influencing performance of internal, external environment and entrepreneurship in the social enterprise with network activity. This model tests various theoretical research hypotheses relating to performance of social enterprise, internal, external environment, entrepreneurship and network activity. The proposed model is analyzed to target social entrepreneurs. The results of hypothesis testing are as follows. First, organizational culture positively influence entrepreneurship. Second, environmental uncertainty positively influence entrepreneurship. Third, entrepreneurship positively influence managerial and social performance. Finally, organizational culture to entrepreneurship for high group of network activity is significantly larger than those for low group of network activity. In addition, environmental uncertainty to entrepreneurship for low group of network activity is significantly larger than those for high group of network activity.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1421-1429
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• 2017

Human activity recognition has been studied using various sensors and algorithms. Human activity recognition can be divided into sensor based and vision based on the method. In this paper, we proposed an activity recognition system using acceleration sensor and gyroscope sensor in smartphone among sensor based methods. We used Deep Belief Network (DBN), which is one of the most popular deep learning methods, to improve an accuracy of human activity recognition. DBN uses the entire input set as a common input. However, because of the characteristics of different time window depending on the type of human activity, the RBMs, which is a component of DBN, are configured hierarchically by combining them from different time windows. As a result of applying to real data, The proposed human activity recognition system showed stable precision.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.150-161
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• 2018

We propose a novel deep neural network model for detecting human activities in untrimmed videos. The process of human activity detection in a video involves two steps: a step to extract features that are effective in recognizing human activities in a long untrimmed video, followed by a step to detect human activities from those extracted features. To extract the rich features from video segments that could express unique patterns for each activity, we employ two different convolutional neural network models, C3D and I-ResNet. For detecting human activities from the sequence of extracted feature vectors, we use BLSTM, a bi-directional recurrent neural network model. By conducting experiments with ActivityNet 200, a large-scale benchmark dataset, we show the high performance of the proposed DeepAct model.

• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.194-206
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• 2017

This study analyzed the effect of individualism-collectivism propensity and social capital on participation activity as well as the effect of participation activity on fashion brands relationship orientation of social network service users. Also, this study investigated the difference in participation activity and fashion brands relationship orientation by participation level of social network service. A survey was conducted from October 1 to November 31, 2015, and 476 responses were used in the analysis. As results, the individualism-collectivism propensity was composed of vertical-horizontal individualism and vertical-horizontal collectivism. The social capital was composed of trust, norm, and network. Also, the participation activity was composed of personal interaction, consumer rights, information pursuit, interest pursuit, and economic pursuit. Vertical individualism positively affected information pursuit and economic pursuit, and horizontal individualism positively affected personal interaction, consumer rights, and information pursuit; in addition, vertical collectivism positively affected personal interaction, consumer rights, and interest pursuit. Horizontal collectivism positively affected information pursuit, but it negatively affected consumer rights. Consumer rights, information pursuit, interest pursuit, and economic pursuit of participation activity positively affected fashion brands relationship orientation. Also, there were significant differences in the participation activity and fashion brands relationship orientation by participation level. The study results provide useful information to the marketing strategies using social network service of fashion brands.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.188-199
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• 2018

The purpose of this study is to grasp the type of network activity and corporate competency based on network theory and to compare and analyze the relationship between these characteristics and business performance. The results showed that the frequency, importance, and reliability of CEO's had a positive (+) effect on business performance, and the mediating effect of corporate competency (industrial information competency, opportunity capture competency, strategic flexibility, and transaction cost reduction) appeared. This study tried to measure business performance by including corporate competency as a direct performance variable of CEO's network activity and found that it is desirable to focus on interacting with the most important network sources and to make efforts to strengthen the qualitative characteristics of network activities rather than expanding the scope of the network in order to improve the performance of CEO's Network Activity.

• International Journal of Contents
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• v.10 no.4
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• pp.18-22
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• 2014

Social network games (SNGs), a rapidly growing online game genre, are built and played on social network sites. SNGs provide an online world for enjoying leisure time and interpersonal communication, and an increasing numbers of college students are involved in such game-playing as a leisure time activity. Despite the popularity, relatively few studies have been conducted to investigate the nature of game players, especially the meaning of such leisure time behavior by college students. This paper's aim was to explore a subjective meaning structure of online social network game play. The means-end chain model was used to link attributes of SNGs to the underlying values of game playing as a leisure activity. The results revealed two emerging end-values: the need for bridging and a sense of belonging. This study sheds light on the meaning of college students' leisure activities when playing social network games.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.17-30
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• 2022

It has been verified in several studies that dynamic capabilities has a very important effect on the competitive advantage of technology startups. And the network has an important influence on this dynamic capability. This is even more important for start-ups that lack the resources and knowledge. Networks that directly and significantly affect dynamic capabilities have been studied mainly the value chain internal. However, network activities of start-ups are conducted not only with the value chain internal networks but also with the value chain external networks. Therefore, it is necessary to study the effect of the value chain internal and external network activity of start-ups on the dynamic capabilities, but prior studies are lacked. In this study, We make a model that encompass the value chain internal and external network for technology startups, and a study was conducted to demonstrate the effect on dynamic capabilities and competitive advantage. As a result of the study, value chain internal network activity directly and significantly affected dynamic capabilities, and value chain external network activity did not directly significantly affect dynamic capacity. And dynamic capabilities had a significant effect on competitive advantage. As confirmed through additional research, value chain external network activity affects value chain internal network activity, and through this, dynamic capabilities are strengthened, and positively affect competitive advantage.. The intensity of value chain external network activity was not significant to dynamic capabilities and the diversity of value chain external network activity had a significant effect on the competitive advantage by double mediating the value chain internal network activity and dynamic capability. Through this study, it is confirmed that the value chain internal networks is important in order for startups to strengthen their dynamic capabilities and increase their competitive advantage, and that both strong and diversified the value chain internal networks positively affects competitive advantage by enhancing dynamic capabilities.