• Knowledge Management Research
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• v.12 no.5
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• pp.25-40
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• 2011

Today, Internet users start off using heavily SNS(Social Network Site) such like, Facebook, Twitter. The reason of the growth of using SNS would be closely related to the various services of gaming, playing, entertainment items, sharing information etc., provided by the SNS, technically, the most important one out of the services provided would be behaving of sharing knowledge among people who connected and networked in the site. In sum, we assume that the users may communicate well each other and pay attention to build closely a social network using that kind of activities. However, nevertheless the new trends of communications and sharing knowledge become popular, researchers have just began the research issues in explaining why Internet user rush into SNS and enjoy the time in there. Therefore, we investigate on the reasons of posting knowledge voluntarily in the SNS and how others response to the posted information and actually affected by the behavior. We appled personal relation and social identity theory for this study, which personal relation in SNS may affect on social identity and make them produce knowledge generation. We found that social identity and involvement in SNS is closely related and influence knowledge creation and generation. This empirical study resulted in the importance of social relations in SNS, which leads to a sharing knowledge.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.56-66
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• 2023

The goal of deep learning is to extract complex features from multidimensional data use the features to create models that connect input and output. Deep learning is a process of learning nonlinear features and functions from complex data, and the user data that is employed to train deep learning models has become the focus of privacy concerns. Companies that collect user's sensitive personal information, such as users' images and voices, own this data for indefinite period of times. Users cannot delete their personal information, and they cannot limit the purposes for which the data is used. The study has designed a deep learning method that employs privacy protection technology that uses distributed collaborative learning so that multiple participants can use neural network models collaboratively without sharing the input datasets. To prevent direct leaks of personal information, participants are not shown the training datasets during the model training process, unlike traditional deep learning so that the personal information in the data can be protected. The study used a method that can selectively share subsets via an optimization algorithm that is based on modified distributed stochastic gradient descent, and the result showed that it was possible to learn with improved learning accuracy while protecting personal information.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.334-349
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• 2008

In this study, the network formation process of personal actors in industries for the elderly was analyzed. This process is applied to the knowledge creation model of the SECI (Nonaka-Takeuchi learning cycle), that is socialization, externalization, combination, internalization. There are some kinds of opportunities to interact in these industries in the forms of field survey teams to overseas, some seminars and symposiums, many kinds of meetings, education and training programs, trade fairs and on-line forums. These palces(ba) - originating ba, interacting ba, cyber ba, exercising ba - played great roles in the formation of personal actor networks. Personal actors had opportunities to interconnect with distant actors through those places(ba). In the spatial perspective, personal actors could make face-to-face contact and build trust through temporary geographical proximity or temporary clusters with the help of personal mobility. Relations in the virtual spaces such as the Internet community did much toward building personal networks.

• The KIPS Transactions:PartC
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• v.17C no.2
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• pp.215-222
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• 2010

IEEE 802.15 WPAN(Wireless personal area network) technologies represented by Bluetooth are prevalent these days. However, they have short radio coverage and thus cannot be used to build a SNS for servicing users spread over a wide area. In this paper, we develop a mobile SNS(Social Network System) that does not necessitate any infrastructure support using the Bluetooth technology and the mobility based information dissemination technique. Using so-called mobility assisted data dissemination technique we overcome the short radio range restriction of WPAN technologies. We develop Blue Market, a free online marketplace program, as a proof of concept.

• KIEAE Journal
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• v.14 no.6
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• pp.23-29
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• 2014

It is essential to investigate the structure and the main characteristics of BSN (Bio-Sensor Network) platform in built smart healthcare environment while designing healthy housing facilities. For this study, WSN (Wireless Sensor Network) data transmission technologies have been employed with medical sensors, and optimal medical devices would provide various Web 2.0 services by connecting to the WiBro network. The BSN platform normally recognizes in surroundings of WBAN (Wireless Body Area Network) or WPAN (Wireless Personal Area Network), and it is possible to manage sensor nodes by utilizing SOAP (Simple Object Access Protocol) and REST (REpresentational State Transfer). In addition, the feature of SNMP (Simple Network Management Protocol) for mobile gateway is also included for being adapted to huge network structure. Finally, BSN platform will play a role as important clues for developing personal WSN service models for smart healthy housing properties.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.432-434
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• 2004

Bluetooth is a promising wireless personal area network technology and is on the verge of being ubiquitously deployed over wide range of devices. This paper aims to implement a wireless network for image transmission using Bluetooth technology. The characteristics of Bluetooth are small size, low band width and low power consumption, However, there are some difficulties in implementing a wireless radio network using Bluetooth since a lot of repeaters may needed when Bluetooth depends a role of host on personal computer for data transmission. In this paper, a method to implement a wireless radio network is proposed and applied for image transmission using a small size microprocessor for each Bluetooth.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.113-120
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• 2021

The adoption of the General Data Protection Regulation (EU) 2016/679 transformed approaches and concepts to the implementation of the personal data protection mechanism in the European Union. Within the EU, almost all countries have adapted a new protection mechanism, which requires a study of the specifics of its use. The article intends to assess the legal provisions of the current mechanism of personal data protection in the EU. The author studied the mechanism of personal data protection under the General Data Protection Regulation (EU) 2016/679 (GDPR) based on the concept of contextual integrity and analysis of EU legislation on personal data protection. The scientific publications for 2016-2020 were reviewed for the formation of ideas of a new personal data protection mechanism in the EU, informative and transparent analysis of legal provisions. The article notes that the personal data privacy and protection is increasing, there is an ongoing unification of the legal status of personal data protection and the formation of a digital market for dissemination, exchange, control, and supervision of data. Cross-border cooperation is part of the personal data protection mechanism. The author proved that the GDPR has changed approach to personal data protection: the emphasis is now shifting to the formation of a digital market, where the EU's role in ensuring regulation is crucial. The article identifies the emergence of a new protectionist legal system and strengthening of legal provisions regarding privacy. This legal system needs unification and harmonization in accordance with national legislation, is territorially fragmented and differentiated within the EU.

• Knowledge Management Research
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• v.15 no.2
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• pp.1-21
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• 2014

In this study we adopted Interpersonal Process Model of Intimacy to study SNS use intention. First, we investigated the effects of personal identity, social identity and intimacy. Second, we tested the influences of self-disclosure, partner disclosure on perceived partner responsiveness. Third, we measured the relationship between perceived partner responsiveness and intimacy. Lastly, we investigated the effects of intimacy, perceived partner responsiveness and use intention. A total of 232 final respondents were collected from users of Social Network Services in 2011. The results revealed several important findings. First, we found that social identity had a significant and positive effect on intimacy. However, personal identity showed insignificant effect toward intimacy. Moreover, self-disclosure and partner disclosure had a positive effects on perceived partner responsiveness. perceived partner responsiveness showed a positive effect on both intimacy and use intention. Lastly, intimacy had significant effect on use intention.

• Journal of Korea Multimedia Society
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• v.10 no.3
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• pp.373-380
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• 2007

In this paper we propose a new efficient authentication protocol that reduces overheads of computation for digital signature generation/verification on mobile devices in the Personal Area Network (PAN). In particular, we focus on eliminating the traditional public key operations on mobile devices without any assistance of a signature server. Moreover, the proposed protocol provides a simplified procedure for certificate status management to alleviate communication and computational costs on mobile devices in the PAN.

• Korean journal of communication and information
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• v.33
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• pp.53-86
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• 2006

This paper presents comparative analysis of the traits of personal network structure shaping in local press organizations of Korea. For this analysis, this study attempts to investigate three topics. First, the density traits of personal network structure in the whole of local press organization. Second, the comparison of density trait shaping in personal network structure between press section of local broadcasting stations and local newspaper companies. Third, the positional trait in each local press organization. To answer the questions, the data concerning commissioners and executive members in local daily newspapers and local broadcasting organizations from the Civic Government to the People's Government have been collected and analyzed. The interconnections of regional(birthplace) and educational(university graduated) aspect were analyzed via methods of cross analysis, density analysis and correspondence analysis. In brief, major findings of this study are as follows ; As a result of analyzing cross analysis and density analysis of the personal network based of regional and educational aspect, the numerical value of density was too high on the whole of local press organizations. But, especially local newspaper companies has been showed that was higher density compared with press section of local broadcasting stations. And, positional distance between local press organizations were showed obviously in the case of regional(birthplace) aspect. But, in case of educational aspect, positional distance were showed obviously between commissioners and executive members.