• Journal of Broadcast Engineering
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• v.19 no.2
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• pp.257-267
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• 2014

Distributed compressive video sensing (DCVS) is a low cost sampling paradigm for video coding based on the compressive sensing and the distributed video coding. In this paper, we propose using a skip-mode coding in DCVS under the assumption that in case of high temporal correlation, temporal interpolation can guarantee sufficiently good quality of nonkey frame, therefore no need to transmit measurement data in such a nonkey frame. Furthermore, we extend it to use a hierarchical structure for better temporal interpolation. Simulation results show that the proposed skip-mode coding can save the average subrate of whole video sequence while the PSNR is reduced only slightly. In addition, by using the proposed scheme, the computational complexity is also highly decreased at decoder on average by 43.75% for video sequences that have strong temporal correlation.

• The Journal of Information Systems
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• v.16 no.1
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• pp.201-230
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• 2007

Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.89-102
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• 2020

With the technology of the 4th Industrial Revolution integrated into the industry as a whole, digital transformation (DT) is becoming an innovative and essential element of corporate survival in the fashion industry, and it is expected that the paradigm shift in shopping will become an unavoidable reality, especially based on the AR. Therefore, in this study, the characteristics of augmented reality were presented separately as perceived realism, interaction, pleasure, and usability, and the influence of augmented reality by immersion parameters on the user's satisfaction and intended to reveal the relationship between satisfaction and usage through the characteristics of augmented reality. For the purpose of this study, a structured questionnaire was conducted, and the available 209 responses were collected and used for empirical analysis. The results of the empirical analysis are as follows. First, while immersion has the greatest effect on satisfaction, the effect on use intention has a stronger effect on satisfaction than immersion. This indicates that purchase occurs when the user's immersion leads to satisfaction, and when the satisfaction falls, the intention to use is also lowered. Second, interactivity, enjoyment, and ease of use among the various characteristics of fashion applications have a positive effect on immersion. Among them, ease of use had a strong effect on immersion. In light of this, it can be seen that ease of use should be considered first when creating an application based on augmented reality in the future fashion industry. However, the perceived reality is low in the degree of immersion, and the effect on satisfaction is also lowered, so it is difficult to be connected to intention. Considering that this study was conducted through indirect experience through video viewing, this study expects the development of research through a more practical research model in the future, as the impact is considered to be a relatively low measurement.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.57-64
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• 2010

Background : Meditation is one of the healing therapies used to prevent and cure ailments and to improve health through regular practice. Although Meditation is within the paradigm of modern Western medical science, effects on the human body could be possible. Objectives : This study performed a systematic review of the literature published in Korea focused on mindfulness meditation (MM), which is being applied as mind-body therapy around the USA lately. Method : Three hundred sixty six articles were found after searching with keyword, 'mindfulness meditation (MM)' in 6 journals and web databases. Ninety papers related MM were analyzed trend, Seventeen randomized controlled trials (RCTs) and 38 controlled clinical trials (CCTs) were researched by systematic review. Result : Most of them were studies about relationship between MM and syndrome such as stress, depression, anxiety and MM was also applied to some disease like hypertension, temporomandibular joint disorder in some cases. In 55 studies, It was shown that MM has positive effects on various symptoms and sometimes the effect of MM showed at post and follow-up study although there was no significant difference between control group and experimental group in some cases according to outcome measurement. Interestingly, there was no study reported about side effects of MM after the application. Conclusions : MM is being clinically applied at both western and oriental hospital in Korea, but more clinical trials with the high quality are needed to support its scientific basis.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.251-257
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• 2003

Metabolic engineering has become a new paradigm for the more efficient production of desired bioproducts. Metabolic engineering can be defined as directed modification of cellular metabolism and properties through the introduction, deletion, and modification of metabolic pathways by using recombinant DNA and other molecular biological tools. During the last decade, metabolic flux analysis(MFA) has become an essential tool fur metabolic engineering. By MFA, the intracellular metabolic fluxes can be quantified by the measurement of extracellular metabolite concentrations in combination with the stoichiometry of intracellular reactions and mass balances. The usefulness and functionality of MFA are demonstrated by applying to metabolic pathways in E. coli. First, a large-scale in silico E. coli model is constructed, and then the effects of carbon sources on intracellular flux distributions and succinic acid production were investigated on the basis of the uptake and secretion rates of the relevant metabolites. The results indicated that succinic acid yields increased in order of gluconate, glucose and sorbitol. Acetic acid and lactic acid were produced as major products rather than when gluconate and glucose were used carbon sources. The results indicated that among three carbon sources available, the most reduced substrate is sorbitol which yields efficient succinic acid production.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.65-81
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• 2015

Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3351-3369
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• 2017

In recent years, datacenters, network devices and computers have proliferated. The power consumed by information and communication technology (ICT) devices has inflated in an extraordinary manner. Green communication has emerged as a new approach to reduce and optimize power consumption in ICT sector. Many methods and protocols have been proposed and implemented to achieve green communication. Nevertheless, the increase of power consumption remains a problem. In this work, we attempt to reduce and optimize power consumption of network devices in datacenters environment utilizing software defined network (SDN) paradigm. To gain more insight of the power consumption requirements of network switches, a power measurement system is constructed to measure power consumption levels of network devices. Subsequently, we propose a duplication resolver algorithm (DRA) to power off/on switches reactively. DRA algorithm reduces the required time by switches to construct their flow tables after rebooting. To this end, DRA-based external circuit has been constructed utilizing Ethernet module and an Arduino kit to control power supplies of network devices. To facilitate our work, a testbed has been constructed utilizing Ryu SDN controller, HP2920-24G switches and Arduino kits. Our results show that DRA algorithm can reduce both the power usage and start-up time delay of network switches after failures.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.842-848
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• 2018

The Smart plug is a device that connects between the outlet and the product at home, and it is an IoT type device that can drive energy saving and transmit information to the outside by power on / off control function and power measurement function. In this case, a smart plug that incorporates deep learning of intelligence technology that allows people to learn how to think about a computer, automatically classifies a product as it operates, and automatically tests the operating status of the washing machine by using input AC current pattern. Through this study, even if the product does not function as IoT, it can classify product type and operation state by smart plug connection alone, so we can draw a new paradigm of life pattern and energy saving in one family.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.85-97
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• 1999

Being the new paradigm of "knowledge based economy", knowledge asset get to be the key to evaluate the firm's value. For a instance, Scandia firstly informed the intellectual capital report with its own financial statements in 1994. Some financial institutions have emphasized the roles of knowledge assets in the evaluating firm's value, too. But the concept of knowledge asset is so extensively defined that the result of evaluation is not as much reliable as financial statements. As previous studies examined the firm-specific cases, the sectoral pattern of knowledge asset has been ignored and it cause the difficulty in the empirical study. Moreover, the objectivity of study is ambiguous. Therefore, we regards knowledge asset as a technological knowledge asset. Which is related to R&D(research & development) and technology. Because this definition is more measurable than others and can play a frontier role in evaluating the knowledge asset. We extract the criteria related to the technological knowledge asset through the survey of 'Scandia' and other previous studies and add other criteria, which explain the Korean-specific environments. We gather data from "Technological Innovation"(STEPI, 1997, 1999) and "The bibliography of Korean R&D institutes"(KITA,1998) and "the survey of listed company"(Daewoo Securities, 1998. 1999). As the results of empirical study, the variables which explain the financial value of firms do not reflect the 'technological knowledge asset' well. It results from the factors as followings. Firstly, instead of stock price the proxy measurement related to 'knowledge asset' is needed. Secondly, the sample is biased to the large scale firms so we'll collect samples more broadly. Finally, the concept of 'technological knowledge asset' is too narrow to explain the value of firm. We expect the result of this empirical study gives contribution to the evaluation of firms' value more exactly.

• Korean Journal of Social Welfare
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• v.62 no.1
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• pp.5-30
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• 2010

This paper offers an alternative approach to measure the welfare state change by using fuzzy-set methodology. The fuzzy-set method is particularly useful for assessing change across a limited number of cases, and that it can help to translate interval fuzzy membership scores into verbal qualifiers. Applying the measurement of welfare state change, four sets(accessibility, generosity, activation, state's care responsibility) in two dimensions(old and new social risks) have been identified, which reflect theoretical importance. The analysis sets out fuzzy membership scores for 12 OECD countries in the 16 possible welfare state ideal types. This paper found that each country has its own strategies to deal with the changes, however, the changes are not dramatic or a qualitative one. This does not mean that there are no changes, but that are no paradigm shifts or path breaking in the welfare state changes.