• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 통신소사이어티 추계학술대회논문집
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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.

• 농촌계획
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• 제23권2호
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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.

• 경영과학
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• 제19권1호
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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.

• 한국산학기술학회논문지
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• 제12권11호
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• pp.4801-4811
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• 2011

본 연구는 사회적 기업의 내부 및 외부 환경요인과 기업가정신이 사회적 기업의 성과에 영향을 미치는 요인과 네트워크 활동의 조절효과를 검증하는 것이 목적이다. 연구의 목적을 달성하기 위해서 사회적 기업의 성과, 내부 및 외부 환경, 기업가정신과 네트워크 활동에 관한 이론적 배경을 바탕으로 연구모형과 가설을 설정하였다. 본 연구에서 제안된 연구모형을 사회적 기업가를 대상으로 분석하였다. 분석결과, 첫째, 조직문화가 기업가정신에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 환경 불확실성이 기업가정신에 정(+)의 영향을 미치는 것으로 나타났으며, 셋째, 기업가정신이 사회적 기업의 경영성과 및 사회적 성과를 향상시키는 것으로 나타났다. 마지막으로, 네트워크 활동에 따라 기업가정신에 미치는 영향력에 차이가 있는 것으로 나타났다. 네트워크 활동이 높은 집단이 낮은 집단 보다 조직문화가 기업가정신에 미치는 영향력이 더 큰 것으로 나타났으며, 네트워크 활동이 낮은 집단이 높은 집단 보다 환경 불확실성이 기업가정신에 미치는 영향력이 더 큰 것으로 나타났다.

• 한국멀티미디어학회논문지
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• 제20권8호
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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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• 제14권1호
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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.

• 한국의류산업학회지
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• 제19권2호
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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.

• 한국콘텐츠학회논문지
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• 제18권2호
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• pp.188-199
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• 2018

본 연구의 목적은 네트워크 이론에 근거하여 기업인 네트워크 활동과 기업역량의 유형을 파악하고 이들 특성과 경영성과 사이의 영향 관계를 비교 분석하는 데 있다. 연구결과 기업인의 네트워크 빈도, 중요도, 신뢰도가 경영성과에 유의한 정(+)의 영향을 미쳤으며, 이때 기업역량(산업정보역량, 기회포착역량, 전략적 유연성, 거래비용절감)의 매개효과가 나타났다. 본 연구는 기업역량을 기업인 네트워크 활동의 직접적인 성과변수로 포함하여 경영성과의 측정을 시도하였으며, 기업인 네트워크 활동의 성과를 높이기 위해 네트워크 범위를 넓히기보다는 가장 중요한 네트워크 원천과의 교류에 집중하는 것이 바람직하며, 네트워크 활동의 질적 특성을 강화하기 위한 노력이 필요하다는 결론을 도출한 데 연구의 시사점이 있다.

• International Journal of Contents
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• 제10권4호
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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.

• 벤처창업연구
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• 제17권5호
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• pp.17-30
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• 2022

불확실한 환경에서 창업하는 기술창업기업의 경쟁우위에 동적역량이 매우 중요한 영향을 미친다는 점은 여러 연구에서 검증되어왔다. 그리고 이런 동적역량에는 외부기관 네트워크가 중요한 영향을 미친다. 이는 자원과 지식이 부족한 창업기업에게 더욱 중요하다. 동적역량에 직접적으로 유의한 영향을 미치는 네트워크는 가치사슬내부 네트워크 위주로 연구되어 왔다. 하지만 창업기업의 네트워크 활동은 가치사슬내부 네트워크 뿐만 아니라 가치사슬외부 네트워크와도 이루어지고 있다. 따라서 창업기업의 네트워크 활동이 동적역량에 미치는 영향을 연구하기 위해서는 두 가지 네트워크가 모두 포괄된 연구가 필요하지만, 선행연구가 부족하다. 본 연구에서는 기술창업기업을 대상으로 가치사슬외부 네트워크와 가치사슬내부 네트워크를 포괄하는 모델을 구성하고, 동적역량과 경쟁우위에 미치는 영향을 실증하는 연구를 진행하였다. 연구결과, 가치사슬내부와의 네트워크 활동은 선행연구와 마찬가지로 동적역량에 직접적으로 유의한 영향을 주었고, 가치사슬외부와의 네트워크 활동은 동적역량에 직접적으로 유의한 영향을 주지 않았다. 그리고 동적역량은 경쟁우위에 유의한 영향을 주었다. 추가연구를 통해 확인한 바, 가치사슬외부와의 네트워크 활동은 가치사슬내부와의 네트워크 활동에 영향을 주고 이를 통해 동적역량을 강화하며, 이를 통해 경쟁우위에 긍정적인 영향을 주는 매개효과가 유의하였다. 이를 통해 창업기업이 동적역량을 강화하여 경쟁우위를 높이기 위해서는 가치사슬내부 네트워크가 중요하다는 점과 가치사슬내부 네트워크는 강하게, 다양하게 맺는 것은 모두 동적역량을 높여 경쟁우위에 긍정적 영향을 준다는 점을 확인할 수 있었다.