• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.238-241
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• 2009

In order to design a good quantizer for the underlying distribution using a training sequence (TS), the traditional approach is seeking for the empirical minimum based on the empirical risk minimization principle. As the size of TS increases, we may obtain a good quantizer for the true distribution. However, if we have a relatively small TS, searching the empirical minimum for the TS causes the overfitting problem, which even worsens the performance of the trained codebook. In this paper, the performance of codebooks trained by small TSs is studied, and it is shown that a piecewise uniform codebook can be better than an empirically minimized codebook is.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.4
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• pp.477-487
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• 2008

Purpose: The purpose of this study is to develop the competencies of the administrator and the behavioral indicators, and with those as the foundation it is to measure the importance and the performance. Method: On the basis of literature review, the researcher made a preliminary competency and the behavioral indicator for the administrator. Developed competency and behavioral indicator went through the content validity using CVI. Finally, 20 different competencies and 87 behavioral indicators of the administrators in long-term care facility helped measuring the importance of the present administrator's competency and the performance. Results: The competencies are Achievement Orientation, Initiative, Information Seeking, Interpersonal Understanding, Customer Service Orientation, Marketing, Influence, Organizational Awareness, Relationship Building, Staff Development, Assertiveness, Teamwork and Cooperation, Leadership, Analytical Thinking, Conceptual Thinking, Managerial Expertise, Self Control, Self Confidence, Flexibility and Organizational Commitment. For the contents, 87 behavioral indicators are included. The importance and the performance were confirmed by Importance Performance Analysis. The importance of each behavioral indicator in each field and the performance were confirmed with the mean and the standard deviation. Conclusion: The competencies and behavioral indicators of an administrator which were developed by this study are considered that they can be used as the effective guides in the practical field and can also be used as basic materials for developing educational program.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.259-277
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• 2022

This study aims to understand international students' web search behaviors. During the experiment, fifteen international students were asked to conduct three search tasks which includes six search questions. Depending on the characteristics of search task, there were differences in search performance and search behavior. It was commonly found that participants with higher Korean fluency showed higher search performance; however, prior knowledge about the search topic did not always affect the search performance. In the search tasks that required navigation through menus and links within one web domain, participants often overlooked the correct answers, even if they were at the webpages containing the correct answer. Also, some participants did not realized that they found wrong answers. For enhancing information seeking behaviors among foreigners in Korea, the followings were suggested: 1) to design websites which are easy for non-native speakers to navigate, and 2) to use social media as a means of interactive communication.

• The Journal of Information Systems
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• v.6 no.2
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• pp.121-145
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• 1997

The purpose of this research is to find out the difference of success factors of End-User Computing (EUC) which are applicable to our corporations. There have been many researches related to EUC success factors, however, as the researches have been concentrated on limited type of business areas or have been studied without distinguishing the differences of characteristics of business areas, these researches are not sufficient to cover the situation of the corporations, in general. In this research, the range of companies to be investigated was widely extended to such as electric and electronic company, banking, construction company, petroleum and chemistry company, machinery and metal company, and beverage and food company. EUC success factors which influence the factors that are used to evaluate the EUC performance for each business area were found to be different. The result of this research can be useful for a company which is seeking EUC success factors for its own business area.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.111-113
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• 2006

DEAS is an direct searching and optimization method that based on the binary code space. It can be classified as an direct hill climbing searching. However, because of binary code space based searching, the searching in low resolution has random property. As the resolution of code increases during the search, its property of searching changes like that of hill climbing search. This paper propose a method for improving the performance of minimum seeking ability of DEAS with history information. The cost evaluation is increased. However the minimum searching ability of DEAS is improved along the same starting resolution.

• The Journal of Information Systems
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• v.16 no.2
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• pp.93-122
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• 2007

RFID has fundamental influences on today's business management. This research seeks to formulate the opportunities and challenges, the strengths and weaknesses and the perceived benefits of RFID implementation in three industries: manufacturing, medical-service, and distribution. Ten companies of successful RFID deployment in Korea are presented. Field interview and panel discussion were used to explore the research purpose. The core challenges include RFID readability issues, lack of best practices, increasing prime cost, visible ROI, implementation cost, and employee's resistance. The strengths include IT infrastructure, system integration competency, RFID business model creation ability, executive's support. There is little weakness in Korea companies, there are many perceived benefits in three industries. The most distinctive finding is that the visible ROI was found out in the manufacturing industry, not in the distribution industry. The opportunities and challenges, the strengths and weaknesses and the perceived benefits are some different in three industries, which provide valuable guidance for Korean companies in seeking the RFID opportunities. This case study represents a pioneer research of RFID adoption in Korea.

• Journal of Korean Library and Information Science Society
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• v.29
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• pp.1-25
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• 1998

Effectiveness is a major concern in organizations of all sorts. Library researchers have been particularly active recently in trying to define, measure, and promote library effectiveness. The purpose of this study is to place library effectiveness in the context of theoretical and empirical work on organizational effectiveness. Four major approaches to organizational effectiveness can be identified. The goal model defines an effective organizations as one that meets its goals. The system resource model emphasizes the organization's need to acquire resources from its environment. The process model sees organizations as social systems seeking to survive and maintain their equilibrium. The multiple constituencies defines effectiveness as the degree to which the needs and expectations of strategic constituencies are met. These models are not necessarily contradictory but may be seen as emphasizing different aspects of organizational performance or values. This study also reports four findings of the library effectiveness. They are significant as the empirical investigation into the dimensions of the construct of library effectiveness. The result shows that organizational effectiveness of libraries is, indeed, a multidimensional construct, implying that no single measure of effectiveness is sufficient to describe an organization.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.7
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• pp.3026-3049
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• 2016

Cloud computing promises high performance and cost-efficiency. However, most cloud infrastructures operate at a low utilization, which greatly adheres cost effectiveness. Previous works focus on seeking efficient virtual machine (VM) consolidation strategies to increase the utilization of virtual resources in production environment, but overlook the under-utilization of backup virtual resources. We propose a heuristic time sharing policy of backup VMs derived from the restless multi-armed bandit problem. The proposed policy achieves increasing backup virtual resources utilization and providing high availability. Both the results in simulation and prototype system experiments show that the traditional 1:1 backup provision can be extended to 1:M (M≫1) between the backup VMs and the service VMs, and the utilization of backup VMs can be enhanced significantly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.109-115
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• 2021

The number of freshmen at universities is decreasing due to the recent decline in the school-age population, and the survival of many universities is threatened. To overcome this situation, universities are seeking ways to use big data within the school to improve the quality of education. A study on the prediction of dropout students is a representative case of using big data in universities. The dropout prediction can prepare a systematic management plan by identifying students who will drop out of school due to reasons such as dropout or expulsion. In the case of actual on-campus data, a large number of missing values are included because it is collected and managed by various departments. For this reason, it is necessary to construct a model by effectively reflecting the missing values. In this study, we propose a university student dropout prediction model based on eXtreme Gradient Boost that can be applied to data with many missing values and shows high performance. In order to examine the practical applicability of the proposed model, an experiment was performed using data from C University in Chungbuk. As a result of the experiment, the prediction performance of the proposed model was found to be excellent. The management strategy of dropout students can be established through the prediction results of the model proposed in this paper.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.81-92
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• 2009

This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.