• Journal of Korean Academy of Nursing Administration
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• v.8 no.1
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• pp.169-191
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• 2002

As the tendency of the society is centralized into consumers and services, patients are getting to ask better medical services. The consumers influenced from various social surroundings became to have some expectation of nursing service. Compared with their expectation, the quality of the services which they virtually get may be recognized and evaluated. So it is necessary to know exactly what the consumers want in nursing services. The purpose of this study is to examine the determinants which can evaluate the quality of nursing services by researching into consumers' expectation and perception of the nursing services depending on the consumer-oriented attributions on the basis of the model of SERVQUAL. 1,144 of outpatients were selected as the subjects for this research. They used to continuously visit the same hospital after being hospitalized and nursed in 9 hospitals randomly selected among the second-level medical organizations in Seoul from January to February, 2001. The collected data are analyzed into the Descriptive Statistics, t-test, GLM and Multiple Regression through the SAS program. Delphi was used for the research tool and the results of the research are as follows; the determinants in evaluating the quality of nursing services consist of 5 categories such as Tangibility, Reliability, Responsiveness, Assurance, Empathy. The values of Cronbach' $\alpha$ appeared to be 0.96 in the expectation of nursing services, 0.94 in the perception of nursing services and 0.96 in the importance of nursing services. The determinants in the expectation of nursing services were ranged in the order of Assurance, Empathy, Reliability, Responsiveness and Tangibility. And those in the perception of nursing services were in the order of Assurance, Empathy, Reliability, Tangibility and Responsiveness. Those in the importance of nursing service were in the order of Empathy, Assurance, Reliability, Tangibility and Responsiveness. Finally, those in the quality of nursing service were in the order of Tangibility, Responsiveness, Empathy, Reliability and Assurance. Each expectation of nursing services appeared different depending on the subjects' age, gender, clinical department and reason for hospitalization. The hypothesis examined in this research shows that the group having higher personal needs shows meaningful differences in the expectation of nursing services, and the subjects who have had external communication show higher perception of nursing service than uncommunicative ones. After all, we can see that the statistical differences in the perception of nursing services depend on whether the subjects have external communications or not. The determinants in the expectation of nursing services can explain the quality of nursing service up to 14.96%. The statistically meaningful determinants in the expectation could be arranged in the order of Reliability, Assurance and Tangibility. And the more expectation brings about the lower evaluation of the quality of nursing services. The determinants in the perception of nursing service can explain the quality of nursing services up to 29.85%. The statistically meaningful determinants in the perception could be arranged in the order of Responsiveness, Reliability, Tangibility, Empathy, and Assurance. And the more perception brings about the higher evaluation of the quality of nursing services. According to the result of the above research, I would like to propose as follows. As long as this research is oriented to get knowledge of the consumer-oriented nursing services, it should be continued to draw the other elements determining the quality of the nursing services. Furthermore, this research is based upon the Parasuraman, A., et al.'s SERVQUAL Model(1991), which deals only expectation, perception and quality of consumer-oriented nursing services, so it will be necessary to inspect and verify it through the other models containing the offerers of nursing services in the future. On the other hand, as this research evaluates the actual quality of nursing services based on the expectation and perception of nursing services, it can be utilized as fundamental data to develop the marketing strategies and to estimate the qualities as well. I hope this research will be periodically estimated to be the useful data to develop the marketing strategies in the nursing service area.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.129-145
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• 2005

This paper proposes the web information extraction system that extracts the pre-defined information automatically from web documents (i.e, HTML documents) and integrates the extracted information, The system recognizes entities without lables by the probabilistic based entity recognition method and extends the existing domain knowledge semiautomatically by using the extracted data, Moreover, the system extracts the sub-linked information linked to the basic page and integrates the similar results extracted from heterogeneous sources, The experimental result shows that the system extracts the sub-linked information and uses the probabilistic based entity recognition enhances the precision significantly against the system using only the domain knowledge, Moreover, the presented system can the more various information precisely due to applying the system with flexibleness according to domains, Because bath the semiautomatic domain knowledge expansion and the probabilistic based entity recognition improve the quality of the information, the system can increase the degree of user satisfaction at its maximum. Thus, this system can satisfy the intellectual curiosity of users from movie sites, performance sites, and dining room sites, We can construct various comparison shopping mall and contribute the revitalization of e-business.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1799-1808
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• 2010

Recently the increasing collaborative research requires the remote medical and clinical data sharing and access of external institutions. In this paper, an interoperability framework between Grid and PACS using Web services is proposed and implemented in order to provide flexible and efficient medical data management. The Digital Imaging and Communications in Medicine(DICOM) standard defines medical image data exchange and transfer between PACSs and image databases. However, medical data exchange between hospitals is limited within the trusted and static environments. Moreover, DICOM does not provide medical data management and the Grid middleware does not include standard toolkit to access DICOM data. To address this issue, a Web services-based Grid Service Mediator (WGSM) which provides PACS integration and medical image data management is developed. The WGSM consists of several service mediators such as compress mediator, GridFTP mediator, RFT mediator, MyProxy mediator, MDS mediator, and RLS mediator and others. The proposed Web services-based framework provides user authentication and secure data access between PACSs in collaborative environments. In particular, the WGSM allows ordinary users to access remote PACS data in a simple and efficient manner without any the knowledge about underlying Grid middleware.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.45-52
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• 2012

T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called 'knowledge-based genetic algorithm' that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.

• Journal of Distribution Science
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• v.12 no.11
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• pp.85-100
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• 2014

Purpose - Recently, the prevalence of high-speed mobile communication technology (4G) and mobile devices (smart phones, tablet PC, etc.) is leading innovative changes across all fields in society as well as business environments. Furthermore, a diversified mobile application service has spread rapidly through mobile devices such as smart phones and tablet PCs. Accordingly, the traditional E-government services paradigm has rapidly changed into mobile intelligence. To identify the influencing factors on the using intention of G4C smart app services, based on previous studies, the variables that influence using G4C smart app services are defined; these are user cognitive factors (perceived usefulness, perceived easiness), user characteristics factors (user innovativeness, self-efficiency, social influence), service quality factors (convenience, interactivity, accessibility), and system quality factors (instant connectivity, safety). Research design, data, and methodology - This is designed not only to collect data with a questionnaire survey (9/22/13~10/23/13) but also to test hypotheses with SEM by SPSS 21.0 and AMOS 21.0 in both Korea and China. All items are used with Likert 5 scales. A total of 643 questionnaires (Korea 318, China 325) are used. Results - The perceived usefulness and perceived easiness in user cognitive factors have positive influence on using intention. The user innovativeness, self-efficiency, and social factors in user characteristics factors have positive influences on using intention. The convenience, interactivity, and accessibility in service quality factors have positive influences on both reliability and using intention. Safety in system quality has positive influence on both reliability and using intention. Reliability has positive influence on using intention. The control variables (Korea and China) affect its control hypothesis. Strategies and implications are suggested to assist the public using the intention of smartphone's e-government services based on the results of the empirical analysis. The mobile application service can be considered a new emergence of the paradigm just like the government's on-line portal websites appeared in the past. Under this prevailing situation of mobile smart devices, to promote the success of e-government mobile APP services, accurate analysis and understanding of users should precede anything, to provide services to grasp and satisfy users' desire properly. Conclusions - This study proposes implications to help E-governmental officers and companies make strategies. First, this is expected to give some information on the understanding and knowledge regarding the process of G4C smart APP service based on the empirical study. Second, this helps to make future policies and ways about E-government G4C smart APP service. Third, it is proved that super speed mobile communication technology and devices including phones will be crucial to change the structure of E-government services in 2-3 years. Fourth, it is necessary to increase the trust and using intention of users. Fifth, considering what type of environment users are placed in, to present proper public information matching their inclination, is important. Finally, various ways of experiencing service to explore potential users and ceaseless public relations are required.

• Knowledge Management Research
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• v.21 no.3
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• pp.161-176
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• 2020

Numerous products have been created in a digital format in the era of digitization. At an early stage, such products were provided in the format of individual digital file, requiring the individuals to own products by downloading them on the personal devices. With the development of Internet network, people began to consume digital goods in a new mode called 'streaming.' Streaming is a service provided through access-based consumption mode based on Internet network. Rather than downloading each file, individuals can utilize such product and services by connecting the network to their own devices. Access-based digital goods are distinguished from traditional ownership-based digital goods such as downloaded contents, in that permanent ownership is not allowed. Taken this into account, this study attempts to investigate how individuals' perception toward digital goods, the psychological ownership, differs according to the consumption mode. The results show that individuals feel less psychological ownership toward access-based digital goods than ownership-based digital goods. Our study provides several avenues to both theory and practice.

• Journal of the Korean Dietetic Association
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• v.15 no.3
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• pp.286-297
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• 2009

Studies based on food analysis or food databases use the national standard food database. Although Internet information services are increasing gradually, users are only able to get definitive and profitable information using standard food terms. Until now, it has been uncommon to find food retrieval services that include users' regional or historical characteristics. Thus, this study introduces a prototype for Food and Dish Synonym Retrieval (NutriSyn) that includes synonyms and related words. The environments which NutriSyn was implemented were Linux for the server operating system, the Microsoft Windows series for the users' operating system and Apache for a web server. The development languages used are PHP, JavaScript and HTLM with a MySQL database. Users can access NutriSyn using Internet browsers. The main menu items are (1) Food Synonym DB, (2) Dish Synonym DB, (3) Food Information DB, (4) Dish Information DB, and (5) Food and Menu Synonym Retrieval. This system is expected to be a useful tool for food experts and interdisciplinary research.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.165-189
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• 2013

The advance of the smart working environment came the expectation that it would innovate and revolutionize the way people work, particularly in a society where smart work is readily available for creating a collaborative and 'connected' business. One of the core infrastructure elements for making smart work a viable option is the smart work center, the promotion of which requires a new form of 'smart work center business model' that can satisfy the purposes of both public services and private businesses. This calls for collaboration between the public and private sectors. Recently a number of businesses have been making significant headway in the creation of a new environment for business support and collaboration by adopting a sharing economy business model in their offices. The so-called 'Coworking Space' is an advanced form of business environment in the emerging 'smart work' era, and comes with the benefits of reduced costs as a result of sharing office space and knowledge sharing through the use of human networks. This paper describes the framework of a 'smart work center business model based on the sharing economy' using a BMC (Business Model Canvas), with an understanding of the characteristics inherent to the smart work center and the sharing economy. It was on the basis of this framework that a smart work center model for business incubation and startup, a private smart work center model for childcare services, and a community marketplace model with a global network were developed.

• ETRI Journal
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• v.29 no.5
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• pp.569-595
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• 2007

Particularly in wireless communications, link errors severely affect the quality of the services due to the high error probability and the specific error characteristics (burst errors) in the radio access part of the network. In this work, we show that thorough analysis and appropriate modeling of radio-link error behavior are essential to evaluate and optimize higher layer protocols and services. They are also the basis for finding network-aware cross-layer processing algorithms which are capable of exploiting the specific properties of the link error statistics, such as predictability. This document presents the analysis of the radio link errors based on measurements in live Universal Mobile Telecommunication System (UMTS) radio access networks as well as new link error models originating from that analysis. It is shown that the knowledge of the specific link error characteristics leads to significant improvements in the quality of streamed video by applying the proposed novel network- and content-aware cross-layer scheduling algorithms. Although based on live UMTS network experience, many of the conclusions in this work are of general validity and are not limited to UMTS only.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.211-221
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• 2012

Many metric-based classification models have been proposed to predict fault-proneness of software module. This paper presents two prediction models using Bayesian classifier which is one of the most popular modern classification algorithms. Bayesian model based on Bayesian probability theory can be a promising technique for software quality prediction. This is due to the ability to represent uncertainty using probabilities and the ability to partly incorporate expert's knowledge into training data. The two models, Na$\ddot{i}$veBayes(NB) and Bayesian Belief Network(BBN), are constructed and dimensionality reduction of training data and test data are performed before model evaluation. Prediction accuracy of the model is evaluated using two prediction error measures, Type I error and Type II error, and compared with well-known prediction models, backpropagation neural network model and support vector machine model. The results show that the prediction performance of BBN model is slightly better than that of NB. For the data set with ambiguity, although the BBN model's prediction accuracy is not as good as the compared models, it achieves better performance than the compared models for the data set without ambiguity.