• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2674-2683
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• 2015

This study was performed to determine the levels of depression(CES-D) and its related factors among the elderly people affiliated with long-term care insurance services in urban areas. The interviews were performed, during the period from March 1st, to May 31th, 2012, to 388 elderlies. As a result, the levels of depression among all subjects were 21.6% of normal group, and 78.4% of depression group. The distribution of depression according to the grade of long-term care insurance were 83.6% in Grade I, 82.1% in Grade II and 67.0% in Grade III, and the level of distribution were significantly higher according to the higher grade of long-term care insurance. For the results of multiple logistic regression analysis, the odds ratio was increased in older age group, in the poor health status group, and in the group of seldom in activity of hobbies than their counterparts, but it was decreased in the higher monthly income group than lower group. Above results suggested that the depression was significantly related with the variables such as sociodemographic characteristics, economic status, health related factors and health status.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.159-167
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• 2008

This study provides a effective approach to the construction management problem with the limited number or amount of available resources using the analytic hierarchy process. Construction management is a series of decision making processes for planning and controling of cost, time and quality as main objectives in construction works. When several activities need the limited same resource at the same time, it is very hard to decide the priority of the activities in the real situations. For that the scientific decision making method and procedure for resource allocation are required. This study solves the resource allocation problem by dealing with the decision making problem which the activities are distributed to multiple projects and under multiple criteria. The analytic hierarchy process is a method devised to solve complex multi-criteria decision problems. The result shows that this study can be effectively used to make decisions in situations involving multiple objectives by evaluating the prioritized ranking and degree of the activity alternatives based on the overall preferences.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.2
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• pp.165-182
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• 2001

In this paper, we describe a design and implementation of the Wireless Markup Language(WML) compiler to deploy wireless Internet services effectively. The WML compiler translates textual WML decks into binary ones in order to reduce the traffic on wireless links that have relatively low bandwidth to wireline links and mitigate the processing overhead of WML decks on, wireless terminals that have relatively low processing power to fixed workstations. In addition, it takes over the overhead of eXtensible Markup Language(XML) well-formedness and validation processes. The WML compiler consists of the lexical analyzer and parser modules. The granunar for the WML parser module is LALR(1) context-free grammar that is designed based on XML 1.0 and WML 1.2 DTD(Document Type Definition) with the consideration of the Wireless Application Protocol Binary XML grammar. The grammar description is converted into a C program to parse that grammar by using parser generator. Even though the tags in WML will be extended or WML DTD will be upgraded, this approach has the advantage of flexibility because the program is generated by modifying just the changed parts. We have verified the functionality of the WML compiler by using a WML decompiler in the public domain and by using the Nokia WAP Toolkit as a WAP client. To measurethe compressibility gain of the WML compiler, we have tested a large number of textual WML decks and obtained a maximum 85 %. As the effect of compression is reduced when the portion of general textual strings increases relative to one of the tags and attributes in a WML deck, an extended encoding method might be needed for specific applications such as compiling of the WML decks to which the Hyper Text Markup Language document is translated dynamically.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.2
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• pp.83-92
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• 2015

Purpose: This study was performed to offer some more effective marketing strategies for optical shops on a basis of analyses of what lifestyles influence most on 'store selection' and 'recommendation intention' and of what properties of 'store selection' influence most on 'recommendation intention'. Methods: Questionnaire surveys were conducted from the customers who visited the optical shops in Seoul and northern Gyeonggi-do region from January 1 to June 30, 2014. It was analyzed via utilizing SPSS v.20.0 statistical package program. Results: The results in lifestyle-factors which influence on store selection were arranged in order as follows: 'stability oriented', 'goal oriented', 'cultural activity oriented'. And the results in value-factors which influence on 'recommendation intention' were arranged in order as follows: 'stability oriented', 'health oriented'. The most positive factor for 'recommendation intention' was revealed as 'dealing with customers' among several factors of 'store selection'. Conclusions: Today's marketing activities for customers should be suited for different lifestyles of customers. Customers who have 'stability oriented', 'goal oriented', and 'cultural activity oriented' lifestyles tend to select optical shops in consideration of 21 items when selecting an optical shop. Customers who have 'stability oriented', and 'health oriented' lifestyles have positive influences related to 'recommendation intention'. Also, it is likely for customers to recommend optical shops to others when the factor 'dealing with customers' meets their expectations.

• Journal of the Korean association of regional geographers
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• v.13 no.6
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• pp.724-737
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• 2007

The purpose of this study is to examine festival visit motivation, satisfaction, loyalty the differences between festival local residents and visitors. Data were collected with a structures questionnaire at the Jun Nam Yeosu-city of Geobuksun of festival during 10$\sim$15 apr. 2007, 430 sample were used for statistical analysis SPSS. Data analysis method were used to Crombach's $\alpha$, reliability, kaiser measurement sample adequacy, factor analysis, t-test, regression analysis. As the results of this research, first, festival visitor's motivation were composed of five factors: a new & escape, exciting & enjoy, socialization, family togetherness, local culture understand and satisfaction were composed of three factors: event program & service, convenience facilities, enjoy, shopping & food, transportation. And second, local residents were found satisfied with the interesting & enjoy. Otherwise, Visitors were satisfied with new & escape. And third, local residents of satisfaction factor were affected interesting & enjoy, Otherwise, visitors of satisfaction factor were affected interesting & enjoy, family togetherness. And fourth, local residents of event program & service factor were affected re-visit, Otherwise, visitors of satisfaction factor were affected event program, enjoy, transportation. The final local residents of event & service factor were affected recommend intension, Otherwise, visitors of event program & service, transportation were affected recommend intension. The result of this paper may help local festival planner and marketers for festival marketing strategy.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.5
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• pp.11-20
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• 2002

Based on regularization principles, we propose a new dequantization scheme on DCT-based transform coding for reducing of blocking artifacts and minimizing the quantization error. The conventional image dequantization is simply to multiply the received quantized DCT coefficients by the quantization matrix. Therefore, for each DCT coefficients, we premise that the quantization noise is as large as half quantizer step size (in DCT domain). Our approach is based on basic constraint that quantization error is bounded to ${\pm}$(quantizer spacing/2) and at least there are not high frequency components corresponding to discontinuities across block boundaries of the images. Through regularization, our proposed dequantization scheme, sharply reduces blocking artifacts in decoded images. Our proposed algorithm guarantees that the dequantization process will map the quantized DCT coefficients will be evaluated against the standard JPEG, MPEG-1 and H.263 (with Annex J deblocking filter) decoding process. The experimental results will show visual improvements as well as numerical improvements in terms of the peak-signal-to-noise ratio (PSNR) and the blockiness measure (BM) to be defined.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.285-301
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• 2010

Peer-to-peer (P2P) lending is an open marketplace for loans not from bank but from individuals online. Financial transactions are facilitated directly between individuals ("peers") without any intermediation of a traditional financial institution. A market study by renowned research company forecasts that P2P lending will grow very fast and a couple of P2P lending sites in Korea also are getting attentions by providing the alternative financial services. In P2P lending market, Lender will enjoy higher income generated from the loans in the form of interest than interest that can be earned by financial products provided by official financial institutions. Furthermore, lenders are able to decide who they would lend the money for themselves. Meanwhile, borrowers with low credit scores are able to finance their liquidity requirement with low cost and convenient access to the Internet. The objective of this paper is to introduce P2P lending and its issues of information asymmetry. We provide the insights from the case study of one of P2P lending sites in Korea and review the issues in P2P lending market as research topics. Specifically, information asymmetry issues in both traditional financial institutions and P2P lending are discussed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.5
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• pp.713-719
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• 2018

At present, Busan City has proposed various taxi industry development measures, but fundamentally there is a problem that the taxi supply is excessive compared to the demand. Therefore, this study tried to explore ways to activate the taxi reduction. We first identified problems with the taxi reduction program in Busan, and analyze thoughts of taxi operators and workers. As a result, difficulties in securing funding and lack of consent from a large number of stakeholders were identified as the first problem for current taxi reduction program. Second, both groups recognize the need for the taxi reduction, and taxi drivers are more willing to participate in the program. Third, the most important factor in determining to take the taxi reduction program was the amount of compensation. And to activate taxi reduction program, it is helpful for executives to improve their management conditions and for drivers to place reemployment.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.32-40
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• 2008

Fuzzy rules are very useful and efficient to describe classification rules especially when the attribute values are continuous and fuzzy in nature. However, it is generally difficult to determine membership functions for generating efficient fuzzy classification rules. In this paper, we propose a method of automatic generation of efficient fuzzy classification rules using evolutionary algorithm. In our method we generate a set of initial membership functions for evolutionary algorithm by supervised clustering the training data set and we evolve the set of initial membership functions in order to generate fuzzy classification rules taking into consideration both classification accuracy and rule comprehensibility. To reduce time to evaluate an individual we also propose an evolutionary algorithm with data partition evaluation in which the training data set is partitioned into a number of subsets and individuals are evaluated using a randomly selected subset of data at a time instead of the whole training data set. We experimented our algorithm with the UCI learning data sets, the experiment results showed that our method was more efficient at average compared with the existing algorithms. For the evolutionary algorithm with data partition evaluation, we experimented with our method over the intrusion detection data of KDD'99 Cup, and confirmed that evaluation time was reduced by about 70%. Compared with the KDD'99 Cup winner, the accuracy was increased by 1.54% while the cost was reduced by 20.8%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.10
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• pp.1976-1985
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• 2015

The amount of packets in palyout buffer of video streaming receiver can be changed by network condition, and saturated and exhausted by the delay and jitter. Especially, if the amount of incoming video traffic exceeds the maximum allowed playout buffer, buffer overflow problem can be generated. It makes the deterioration of video image and the discontinuity of playout by skip phenomenon. Also, if the incoming packets are delayed by network confusion, the stop phenomenon of video image is made by buffering due to buffer underflow problem. To solve these problems, this paper proposes the video streaming receiver with token bucket scheme which automatically establishes the important parameters like token generation rate r and bucket maximum capacity c adapting to the pattern of video packets. The simulation results using network simulator-2 (NS-2) and joint scalable video model (JSVM) show that the proposed token bucket scheme with automatic establishment parameter provides better performance than the existing token bucket scheme with manual establishment parameter in terms of the generation number of overflow and underflow, packer loss rate, and peak signal to noise ratio (PSNR) in three test video sequences.