• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.8
• /
• pp.1257-1264
• /
• 2017

In video content watching service, when a user requests video content, the content server has to transmit the entire video to the client for watching. This transmission delay increases as the size of video content increases. In order to solve the transmission delay problem, a prefetching technique can be used in which a video content to be watched by a user is predicted and transmitted to a client before the user requests it. In this paper, we propose a prefetching system considering multiple indices for video content. In the proposed method, video content to be prefetched is selected by comprehensively analyzing the order relation index indicating the order of viewing the videos of the users, the similarity index between the video contents, and the popularity index reflecting the viewing frequency of the video content. Experimental results show that the maximum accuracy is achieved when prefetching uses only the order relation index for movie contents.

• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.6
• /
• pp.285-292
• /
• 2017

There are technological, operational and environmental constraints at tactical edge, which are disconnected operation, intermittent connectivity, and limited bandwidth (DIL), size, weight and power (SWaP) limitations, ad-hoc and mobile network, and so on. To overcome these limitations and constraints, we use service-oriented architecture (SOA) based technologies. In our research, we propose a hierarchical mission service model that supports service-oriented mission planning and execution in order for a commander to operate various SW required for mission in battlefield environment. We will also implement development tools that utilize the workflow technology and semantic capability-based recommendation and apply them to combat mission scenarios to demonstrate effectiveness.

• Asia-Pacific Journal of Business
• /
• v.7 no.2
• /
• pp.77-92
• /
• 2016

The purpose of this study is to examine the effect of CEO's entrepreneurial orientation on innovation performance and business performance, and the mediating effect of innovation performance on the relationship between entrepreneurial orientation and business performance in small and medium-sized venture-enterprises (SMEs). To test the hypothesized relationships, we have conducted a survey of Korean SMEs. After excluding unanswered and untrustful item questionnaires, the final sample size for this study is 110 SMEs. The major findings of the empirical research are as follows. First, CEO's entrepreneurial orientation had apositive influence on innovation performance of a firm. Second, CEO's entrepreneurial orientation was positively related to business performance of a firm. Third, innovation performance had the partial mediating effect on the relationship between CEO's entrepreneurial orientation and business performance of a firm. That is, this result indicates that CEO's entrepreneurial orientation indirectly effects on business performance through innovation performance. Based on these findings, implications of the research findings are discussed, and recommendation for future research are provided.

• Journal of Intelligence and Information Systems
• /
• v.18 no.2
• /
• pp.131-141
• /
• 2012

In this paper, we propose a new method for collaborative filtering (CF)-based recommender systems. Traditional CF-based recommendation algorithms have applied constant settings such as a reference group (neighborhood) size and a significance level to all users. In this paper we develop a new method that identifies optimal personalized settings for each user and applies them to generating recommendations for individual users. Personalized parameters are identified through iterative simulations with 'training' and 'verification' datasets. The method is compared with traditional 'constant settings' methods using Netflix data. The results show that the new method outperforms traditional, ordinary CF. Implications and future research directions are also discussed.

• Proceedings of the KAIS Fall Conference
• /
• 2003.11a
• /
• pp.118-126
• /
• 2003

In data mining, having access to large amount of data sets for the purpose of predictive data does not guarantee good method, even where the size of Real data is Mobile commerce unlimited. In addition to searching expected Goods objects for Users, it becomes necessary to develop a recommendation service based on XML. In this paper, we design the optimized XML Recommender product data. Efficient XML data preprocessing is required, include of formatting, structural, and attribute representation with dependent on User Profile Information. Our goal is to find a relationship among user interested products from E-Commerce and M-Commerce to XDB. Firstly, analyzing user profiles information. In the result creating clusters with analyzed user profile such as with set of sex, age, job. Secondly, it is clustering XML data which are associative products classify from user profile in shopping mall. Thirdly, after composing categories and goods data in which associative objects exist from the first clustering, it represent categories and goods in shopping mall and optimized clustering XML data which are personalized products. The proposed personalized user profile clustering method has been designed and simulated to demonstrate it's efficient.

• Journal of Information Processing Systems
• /
• v.14 no.1
• /
• pp.32-55
• /
• 2018

The digitization of music has seen a considerable increase in audience size from a few localized listeners to a wider range of global listeners. At the same time, the digitization brings the challenge of smoothly retrieving music from large databases. To deal with this challenge, many systems which support the smooth retrieval of musical data have been developed. At the computational level, a query music piece is compared with the rest of the music pieces in the database. These systems, music information retrieval (MIR systems), work for various applications such as general music retrieval, plagiarism detection, music recommendation, and musicology. This paper mainly addresses two parts of the MIR research area. First, it presents a general overview of MIR, which will examine the history of MIR, the functionality of MIR, application areas of MIR, and the components of MIR. Second, we will investigate music similarity measurement methods, where we provide a comparative analysis of state of the art methods. The scope of this paper focuses on comparative analysis of the accuracy and efficiency of a few key MIR systems. These analyses help in understanding the current and future challenges associated with the field of MIR systems and music similarity measures.

• The Southeast Asian review
• /
• v.24 no.1
• /
• pp.133-190
• /
• 2014

We have examined its current economic conditions and status of the Bangsamoro in Mindanao and derived some important policy recommendation to build the future development plan. For this purpose, we first estimate the economic size and GRDP per capita and investigate next several economic and social indicators such as poverty rate and industrial structure. We find that the Bangsamoro is the least developed region in Philippines whose average income is the lowest and whose poverty rate is the highest in the Philippines. In addition, its industrial structure is very falling behind. Applying simple theory of economic growth, we find that several economic reasons such as lack of private and public investment caused by the political instability, high illiterate rate and less education, incapability of local government account for it. As a result, several policy recommendations are suggested to make the development plan of the Bangsamoro. First, the plan should be very comprehensive and second, it should be a very sustainable one equipped with the long run one and short run one. Third, the plan should be harmonized with that of the central government and those of neighboring local governments. Fourth, it should exploit the assistance of international development organization.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.627-637
• /
• 2021

This research extends the literature on the effect of board characteristics and ownership structure on audit fees; these factors affect the firm's agency costs and how the auditor assesses various risks, hence the audit efforts and fees. The paper introduces political connections as a determinant of audit fees for the first time in Jordan, where the political connection is prevalent and affects decision making on the Jordanian boards. The sample consists of 109 manufacturing and service firms listed on the Amman Stock Exchange (ASE) over the years 2012-2019. Data is obtained from the ASE and the company's annual reports. Board characteristics are measured by board size, independence, leadership duality, meetings frequency, political connections, and audit committee. Ownership structure was measured by concentration, foreign ownership, and Institutional ownership. The study hypotheses were tested by using Generalized Least Squares regression. The Findings showed that larger boards, politically connected firms, and firms with leadership duality are more likely to pay higher fees. Besides, Firms with greater foreign ownership pay less fees, whereas the rest of the variables are insignificant. Results suggest that political connections play a major role in determining audit fees; this provides a recommendation to policymakers in Jordan to reconsider regulations regarding political connections.

• The Korean Journal of Health Service Management
• /
• v.13 no.2
• /
• pp.39-54
• /
• 2019

Objectives: This study was performed to investigate selection factors for specialized hospital and to find out the impact of hospital selection factors on satisfaction, revisiting invention and recommendations. Methods: A survey was performed with 398 inpatients of 4 specialized joint hospital in Busan. Data were collected from August to October 2016 with questionnaires and analyzed using SPSS 24.0. Results: First, inpatients know that it was a specialized hospital were highly satisfied and willing to revisit and recommend. Second, in hospital satisfaction, influence size was shown in order of specialty factors, service quality factors, physical factors, and accessibility factors. Third, the intention to revisit hospitals was higher in the awareness of a specialized hospital and high satisfied inpatients, and recommendation intend were affected by the higher revisitation intention, the high satisfaction level, and the high professionality level. Conclusions: All the hospital selection 4 factors for joint specialized hospitals affects satisfaction level which is linked to revisit and recommend. Specialized Hospitals will have to strengthen qualitative management of hospital selection factors to enhance patient satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.653-654
• /
• 2022

Recently, technology development using artificial intelligence (AI) is being conducted in various fields. It is being used in many areas, from a personalized recommendation system for general personal taste to the development of application technology that meets a specific purpose. In this study, for adult detection, we propose a method for detecting adults in elementary schools where many elementary school students live. Clothing color, pattern, style, or physical size are used as factors to differentiate between adults and children, and through this, it will be possible to quickly detect adults or unauthorized adults who break into elementary schools and use them in the pre-recognition system.