• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.39-51
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• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• 한국정보통신설비학회:학술대회논문집
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• 2007.08a
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• pp.100-103
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• 2007

For several ten years, the Internet and IT services have been greatly developed in PC area and with this, new BM and services with terminals like Post-PC and Non-PC types will come into the spotlight in few years. In various fields of service, terminals exclusive to individual service come into the market already, the hardware and the contents used in the terminals are circulating. The communication service providers are very enthusiastic about developing and providing various services in order to overcome the growth limit of existing network connection service. And they think that providing the Non-PC type Information Appliance services will make added values and be sources of making profits in next generation. Hereupon we are going to observe the Non-PC type Information Appliance services, the structure of the service platform that make that services possible, and their prospect.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.457-460
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• 2011

For the mobile meteorological services, sensed data should be gathered at a server from various clients like as Ubiquitous Sensor Network, mobile phone or public traffic vehicle by wireless network. The gathered data at server have huge volume and increase continuously. Therefore, a special query method and data structure should be considered. This paper studies on all possible query type on the data and processing steps for the mobile meteorological services. Some query spaces will be discussed. After that, this paper proposes effective data structure for the sensed data to support the query types.

• Journal of Information Technology Applications and Management
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• v.29 no.3
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• pp.57-74
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• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.243-272
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• 2024

This study was conducted with the purpose of providing suggestions for improvement through a comparison and analysis of the services of the U.S. National Library of Medicine, the world's largest medical library, and the National Center for Medical Information and Knowledge, Korea's national medical library. Core services that need to be improved are topic-specific services, community services, services by user type, educational services, technology, facility/space services, research support services, and marketing and public relations and cooperation services. Specialized libraries are also increasingly interested in topic-specific services and public services. Efficiency in access through services for each type of user is needed, and various types of educational services that do not limit the target audience are also needed. Marketing through AI, virtual reality, and technology, facility, and space services to support the disabled, research support services centered on research ethics, research grants, and programs, and collaborative services with domestic and international libraries, academic societies, institutions, and local communities in other related fields and publicity are also needed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9A
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• pp.737-748
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• 2005

Two flexible admission control schemes for integrated voice and stream-type data services are proposed in DS-CDMA systems. Most Previous studies on admission control have focused on integration of short, bursty Packet-type data services and conventional voice services. However, stream-type data services with a relatively long service holding time are expected to be a considerable portion of data traffic in future generation cellular systems. Scheme I is a basic scheme that accommodates both voice and data services with full bandwidth. However, voice services are given priority over data services using the duration difference between the holding times for these services. Scheme ll uses a different method to efficiently give priority to voice services over stream-type data services. An additional interference margin for voice services is provided by suppressing interference from stream-type data services according to voice access requests and a varying interference status. Performance of the two schemes is evaluated by developing Markovian models. Numerical results show that the voice capacity is highly sensitive to the service holding time of data services while the performance measures of data services are not highly sensitive. Scheme H is a significant improvement over Scheme I for accommodating voice and stream-type data services

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.91-114
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• 2019

This study intends to classify the users by the MBTI personality type and investigate and analyze information resources and services of library preferred by personality type. Towards this end, we have surveyed the K University students on their personality types and preferred resources and services, and also attempted to explore the possibility of providing customized information services of university libraries according to the MBTI personality type based on the results. As a result of the study, it turned out that there was a significant difference in the preference of digital contents type in the analysis of the data type preference and the quadrant type through the analysis of attitude index type from validating the difference between data / information source and service preference according to the MBTI type. The analysis of 16 types of personality also demonstrated a significant difference in the perception of digital contents. Accordingly, In order to provide services for data and digital contents suitable for personality types in university libraries, it should be preceded by collecting MBTI personality type data for users in the library. After that, when a user requests a reference information service from a library, or requests a book or information, it is necessary to provide a form-specific service or provide a content-specific service.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.55-60
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• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.

• Journal of Information Technology Services
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• v.5 no.2
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• pp.137-153
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• 2006

SOA(Service Oriented Architecture) can be a technique to make compassable software from mapping business service to software component. To support effective SOA, it is important that services have to be defined or classified more independently for dynamic and reusable composition. Several methods have been issued but no ways to defined service granularities, service type or service unit. In this paper we introduce 3 level views, service level, service granularity to reuse effectively. And, we suggest service definition guidelines using them.

• Journal of Information Science Theory and Practice
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• v.4 no.2
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• pp.6-20
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• 2016

In the last few years, a new type of synchronous social networking services (SNSs) has emerged—social live streaming services (SLSSs). Studying SLSSs is a new and exciting research field in information science. What information behaviors do users of live streaming platforms exhibit? In our empirical study we analyzed information production behavior (i.e., broadcasting) as well as information reception behavior (watching streams and commenting on them). We conducted two quantitative investigations, namely an online survey with YouNow users (N = 123) and observations of live streams on YouNow (N = 434). YouNow is a service with video streams mostly made by adolescents for adolescents. YouNow users like to watch streams, to chat while watching, and to reward performers by using emoticons. While broadcasting, there is no anonymity (as in nearly all other WWW services). Synchronous SNSs remind us of the film The Truman Show, as anyone has the chance to consciously broadcast his or her own life real-time.