• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.563-565
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• 2013

The issue on cyber ethics cannot be solved within technical and legal boundaries. Therefore, this study intends to consider the antecedents affecting cyber ethics from the perspectives of individual characteristics and social influences. Specifically, the current research aims to investigate (1) the effect of individual characteristics(self-efficacy, locus of control) on cyber ethics in web 2.0 environment, (2) the impact of social influences(subjective norm, image, visibility) on cyber ethics, (3) the moderation effect of a user's personality(extroversion, introversion) between individual characteristics and social influences, finally (4) the interrelationship between cyber ethics and the type of web 2.0 service participation of users(consumption, production).

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.123-130
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• 2008

To avoid some protection systems such as firewall, P2P applications have recently used to apply dynamic port numbers. Reliable estimates of P2P traffic require examination of packet payload, a methodological land mine from legal, privacy technical, logistic, and fiscal perspectives. Indeed, access to user payload is often rendered impossible by one of these factors, inhibiting trustworthy estimation of P2P growth and dynamics. Despite various methods such as port-based and signature-based techniques, it still dose not satisfy the method which uses both qualitative and quantitative aspects. In this paper, a method using SVM mechanism which discriminate the P2P traffic from non-P2P traffics using differences between P2P and other application traffics is suggested. This is a systematic methodology to identify P2P networks, and without relying on packet payload.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.257-262
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• 2010

The study investigates the various Acceptance Control Charts (ACCs) based on the factors that include process independence, data weighting scheme, subgrouping, and use of control charts. USL - LSL > $6{\sigma}$ that used in the good condition processes in the ACCs are designed by considering user's perspective, producer's perspective and both perspectives. ACCs developed from the research is efficiently applied by using the simple control limit unified with APL (Acceptable Process Level), RLP (Rejectable Process Level), Type I Error $\alpha$, and Type II Error $\beta$. Sampling interval of subgroup examines i.i.d. (Identically and Independent Distributed) or auto-correlated processes. Three types of weight schemes according to the reliability of data include Shewhart, Moving Average(MA) and Exponentially Weighted Moving Average (EWMA) which are considered when designing ACCs. Two types of control charts by the purpose of improvement are also presented. Overall, $\alpha$, $\beta$ and APL for nonconforming proportion and RPL of claim proportion can be designed by practioners who emphasize productivity and claim defense cost.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.98-103
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• 2018

Globally, medical tourism draws attention as a national growth engine industry, and is actively expanding. Current medical tourism leans towards large hospitals making it difficult to attract new users. Users collect the information for medical tourism through various paths in order to receive medical consultations and customized tour services. To expand medical tourism to small and medium sized hospitals, it is necessary to have customized medical consultations, tours and interpreter services, which are the key elements of medical tourism. This paper suggests services that users can use to match medical consultations and find tours and interpreters they want at the same time. This paper suggests ways to provide integrated services based on the information experienced by users, combining the required items from the perspectives of each user, hospital and guide. To match the content provided by hospitals and guides with experience information from users systematically, this study suggests the convergence plan for a service model that can match the experience information between users and hospitals, between users and guides and between hospitals and guides systematically by operating the data in the universal container.

• KIEAE Journal
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• v.10 no.1
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• pp.97-107
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• 2010

Although aspiration towards quality of life and holistic health has been growing faster in our modern society and the affordance of health in built environment has been more acknowledged, there has been hardly any development on built environment planning and design theory that can be comfortably and confidently used in creating built environment to promote holistic health. Thereby, this study sets out to experimently formulate a composite theory that explains the relationship between health and built environment. The main methodology of this study is literature review and analysis. Theories that have been applied in other similar fields were chosen to be analyzed by health related perspectives and graft those theories onto holistic health viewpoints to compose a comprehensive theory. Selected theories that were considered useful to be analyzed were Lawton's Environment Press Theory, Carp & Carp's Complementary & Congruence Theory, Valins' Activity-based Design Criteria Theory, Atchley's Continuity Theory, Murtha & Lee's User Benefit Criteria Theory, and Alexander's Pattern Language Theory. Characteristics of these theories were compared by their abstractness and concreteness, and the range of application, and analyzed by a holistic health perspective. Then, these theories were comprehensively structuralized and synthesized as a built environment for health theory. This study has its significance in providing a base to develop healthy built environment research further as it introduced a conceptual framework which explains spatial elements in the health functionality point of view.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.987-999
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• 2017

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.4
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• pp.95-112
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• 2008

In contrast to traditional taxonomy, folksonomy is generated not only by experts but also by creators and consumers of the content. Folksonomy is the practice and method of collaboratively creating and managing tags to annotate and categorize content. It is also known as collaborative tagging or social indexing. Folksonomy is also used to link to create social network that connect people to people who share same interest. Folksonomy users can generally discover the contents by which the tag sets of another user who tends to interpret contents in a way that makes sense to them. Firstly, this study consider the significance and some critical issues about folksonomy. Secondly, analyze special features of Korean academic site's folksonomy, which is managed by academic information site. Accordingly consider the directions of development about folksonomy system.

• The Journal of Bigdata
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• v.6 no.1
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• pp.153-160
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• 2021

This study examines previous studies on the income (profit) model, which is most used for valuation of data held by companies or institutions, and discusses key factors of the model and considerations in the data asset valuation process. Through this, it was confirmed that the shareability and utilization period of data assets are different from those of other companies. In addition, the value of data should be reviewed from various perspectives such as timeliness and accuracy. And for data asset value evaluation, it was derived that the user's use, ability to use, and value chain should be reviewed as a whole. As a future research direction, continuous research and development of models to be applied to actual business and revision of accounting law were proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.111-121
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• 2020

This study analyzed the effects on system quality, learning commitment, and satisfaction in a mobile environment. A survey was conducted on 192 students enrolled in K University, and the research results are as follows. first, it was found that usefulness had an effect on learning commitment, but connectivity and reliability did not affect learning commitment. second, it was found that the usefulness and connectivity of the system quality had a significant effect on the satisfaction of use. third, the intermediary effect of learning immersion was verified as the connectivity, reliability, and usefulness of the system quality influence the satisfaction of use. connectivity and reliability had no mediating effect of learning commitment, and usefulness was found to play a partial mediating role in affecting user satisfaction. This study is meaningful in that it can provide a plan for improving the quality management of mobile learning and improving the learning effect by analyzing the effects on mobile learning from multiple perspectives.

• Korean Journal of Clinical Pharmacy
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• v.31 no.1
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• pp.1-11
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• 2021

Objective: This study aimed to overview and assess the effectiveness of the policies and regulations that have governed new drug access in Korea, and to propose policies to enhance patient access to drugs, particularly for new innovative medicines. Methods: We approached drug access issues in two perspectives: approval lag (or availability) and reimbursement lag (or affordability). The issues were identified and evaluated through the review of literature, public documents, reports published by the government agencies and private organizations, and news articles. Results: To shorten approval lag, it is recommended to hire and train more reviewers at the Ministry of Food and Drug Safety. Increasing user fees to a realistic level can facilitate this process. To reduce reimbursement lag, flexible incremental cost-effectiveness ratio threshold, alternative cost-effectiveness evaluation, and establishment of funding source other than the national health insurance are identified as the areas to be improved. Conclusion: The current policies and regulations had to be supplemented by new systems to drastically promote patient accessibility to new drugs, consequently in order to promote national public health.