• 유통과학연구
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• 제17권3호
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

• 아동학회지
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• 제34권6호
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• pp.159-175
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• 2013

The purpose of this study was to explore how the number of network organizations, network continuity and service continuity of community child centers were affected by the charge factors, organizational factors and environmental factors of community child centers. To better understand this, we researched 107 community child centers in Chonbuk Province. The key results are as follows. The interpersonal connections of the charge factors had a strong effect on the number of network organizations, but organizational factors and environmental factors appeared to have no effect on the number of network organizations. The operational type(religious group), organizational support level of the organizational factors and public-private cooperation, regular consultative group operation(no) of the environmental factors appeared to have an effect on the level of network continuity. The region(local), regular consultative group operation(yes) and public-private cooperation of the environmental factors appeared to have an effect on the level of service continuity. It was hoped that the results would enable us to explore how factors related to a network had an effect on the service continuity, the number of network organizations and clients referral network continuity, and they appeared to have an effect on the service continuity.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1033-1036
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• 2004

The study on speech recognition and understanding has been done for many years. In this paper, we propose a new type of recurrent neural network architecture for speech recognition, in which each output unit is connected to itself and is also fully connected to other output units and all hidden units [1]. Besides that, we also proposed the new architecture and the learning algorithm of recurrent neural network such as Backpropagation Through Time (BPTT, which well-suited. The aim of the study was to observe the difference of Arabic's alphabet like "alif" until "ya". The purpose of this research is to upgrade the people's knowledge and understanding on Arabic's alphabet or word by using Recurrent Neural Network (RNN) and Backpropagation Through Time (BPTT) learning algorithm. 4 speakers (a mixture of male and female) are trained in quiet environment. Neural network is well-known as a technique that has the ability to classified nonlinear problem. Today, lots of researches have been done in applying Neural Network towards the solution of speech recognition [2] such as Arabic. The Arabic language offers a number of challenges for speech recognition [3]. Even through positive results have been obtained from the continuous study, research on minimizing the error rate is still gaining lots attention. This research utilizes Recurrent Neural Network, one of Neural Network technique to observe the difference of alphabet "alif" until "ya".

• 산학경영연구
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• 제19권1호
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• pp.1-24
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• 2006

교육기회의 확대와 더불어 인적 자본을 축적한 여성들의 사회 진출이 빠른 속도로 증가하고 있으나 상위 직급으로 갈수록 여성이 줄어드는 조직 내 인구 통계학적 구조 때문에 여성관리자는 남성관리자에 비해 사회 네트워크를 구축하는데 있어 어려움을 겪고 있다. 본 연구는 국내 500인 이상 대기업의 중간관리자(과장, 차장, 부장) 402명을 대상으로 사회 네트워크의 구조적 특성을 성별에 따라 비교분석하였다. 연구결과 남성관리자는 여성관리자보다 업무 네트워크를 더 강하게 유지하고 있는 것으로 나타났으며, 여성관리자는 남성관리자에 비해 업무 외 네트워크 구축에 더 치중하고 있는 것으로 나타났다. 이는 조직 구조상 남성이 다수를 차지하여 유유상종 면에서 불리한 위치에 놓여있는 여성관리자가 남성관리자와의 업무 네트워크 구축보다는 같은 여성들과의 업무 외 네트워크 구축에 힘쓰고 있는 것으로 보인다.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.26-38
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• 2016

Recently, mobile traffic has increased tremendously due to the deployment of smart devices such as smartphones and smart tablets. Android is the world's most powerful mobile platform in smartphone. The Android operating system provide seamless access to many applications and access to the Internet. It would involve network packet sharing communicated over the network. Network packet contains a lot of useful information about network activity that can be used as a description of the general network behaviours. To study what is the behaviours of the network packet, an effective tools such as network packet analyzers software used by network administrators to capture and analyze the network information. In this research, more understanding about network information in live network packet captured from Android smartphone is the target and identify the best network analyzer software.

• 농촌계획
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• 제11권3호
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• pp.29-42
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• 2005

This study aimed to apply a methodological approach, 'social network analysis' to a case study for the understanding of relational structure among stakeholders related to green tourism development. By doing so, this study argued that it is important to identify stakeholder's network structure to help green tourism planners develop collaborative relationship among stakeholders. This study identified the stakeholders regarding a community-based festival development in the southern area of Korea, and investigated two types of networks among them: decision-making power relational and intimate network. Interviewer-administrated survey and in-depth interview were employed for data collection. The data was analyzed by SPSS (version 10.0) and Net-MinerII (version 2.5.0), and by constant comparison method. The result revealed that low different groups of the stakeholders were separated in the intimate networt and that the festival organizational body was not connected with other stakeholders in the decision-making power relational network. The existence of separated groups and weak relationship among the stakeholders appeared to relate to age-group differences, and different views on the festival between the stakeholders.

• 대한한의진단학회지
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• 제23권1호
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• pp.19-28
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• 2019

Objectives This study has conducted a network analysis of individual prescriptions from the Donguibogam opthalmic Chapter. In addition, medicinal herbs used for internal use were analyzed. By analyzing the correlation of these two this study aims to investigate the significance between individual herbs used in ophthalmic diseases through network analysis. Methods Medicinal herbs from Donguibogam Opthalmic Chapter were analyzed and herbal combinations were extracted from the medicinal herbs by using the network analysis tool NetMiner 4 program. Result Based on network analysis of medicinal herbs from Donguibogam Opthalmic Chapter, frequently used medicinal herbs and herbal combinations were analyzed and were consisted of 4 communities. Conclusion This study shows the most frequent medicinal herbs and herbal combinations from the Donguibogam Opthalmic Chapter. Based on the results significant medicinal herbs and combinations can be considered and moreover can be used to produce a new combination for opthalmic diseases. Further study is required since this study has excluded the component volume of herbs and the individual frequentcy of each combination.

• 한국도서관정보학회지
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• 제44권3호
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• pp.405-428
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• 2013

본 연구는 국내 기록관리학 분야의 학술논문을 대상으로 3가지 연구자 네트워크(공저 네트워크, 저자동시인용 네트워크, 저자서지결합 네트워크)를 구성하고, 각 네트워크에 나타난 중심성과 연구성과의 연관성뿐만 아니라 중심성들 간의 연관성을 분석하였다. 주요한 분석결과를 정리하면 다음과 같다. 첫째, 공저 네트워크에서 3가지 중심성이 높은 연구자들은 연구성과도 높게 나타났다. 둘째, 저자동시인용 네트워크와 저자서지결합 네트워크에서 매개 중심성은 연구성과와 연관성이 있는 것으로 나타났다. 셋째, 3가지 연구자 네트워크에서 각각의 중심성들 간에는 연관성이 높게 나타났다. 넷째, 3가지 연구자 네트워크의 모든 중심성들 간에는 높은 연관성을 나타내지 않았다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.450-456
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• 1990

In this paper, production system is implemented with the inferential neural network model using semantic network and directed graph. Production system can be implemented with the transform of knowledge representation in production system into semantic network and of semantic network into directed graph, because directed graphs can be expressed by neural matrices. A concept node should be defined by the state vector to calculated the concepts expressed by matrices. The expressional ability of neunal network depends on how the state vector is defined. In this study, state vector is overlapped and each overlapping part acts as a inheritant of concept.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1987년도 춘계학술발표회 논문집
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• pp.79-81
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• 1987

The traffic characteristicsof digitalswich network depend on the structure blocking probability, path searching method and etc. This paper presents the study of TDX-1 swicth network traffic capacity by considering some decisive factors such as call processing software, switch network structrure and control schme Conclusively the study shows that the switch network of TDX-1 can handle approximately up to 1650 Erlang.