• Korea Trade Review
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• v.48 no.4
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• pp.285-301
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• 2023

The growing impact of cross-border movement of information is increasing interest in information policy through digital trade agreements in major trading countries. Major trading partners are calling for the inclusion of their digital policies in trade agreements to strengthen market dominance and protect personal information. This study analyzes the meaning and disputed settlement cases of the WTO's public policy objectives and examines the tendency of stakeholders to standardize legitimate exceptions to public policy objectives in digital trade. The study also examines the desirable direction of digital trade standardization suitable for the changing international trade environment. There is still debate about the specific objectives that should be included and the extent to which they should be allowed to restrict trade, however this study finds that there is a growing consensus on the need for legitimate public policy objectives to be included in digital trade agreements. The study concludes that the desirable direction of digital trade standardization is to strike a balance between the need to protect legitimate public policy objectives and the need to liberalize digital trade. This balance will need to be adjusted as the international trade environment continues to change.

• Journal of Digital Policy
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• v.3 no.1
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• pp.11-20
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• 2024

The intelligent information society is expected to drastically change our lives. The purpose of this content is to derive tasks in the field of media education for the elderly for the realization of digital inclusion in an intelligent information society. To this end, the vision, goals, strategies, and tasks of the intelligent information society were examined through the 6th National Informatization Basic Plan(2018~2022) and the 2022 Education Informatization White Paper(2022). In addition, the current status of the digital gap among the elderly classified as vulnerable groups was identified through the results of the 2022 Digital Information Gap Survey. In order to ease the digital information gap between the elderly in the intelligent information society, it is believed that the development of intelligent media education services using intelligent information technology, provision of media education services for the elderly through learning online service channels, and support for digital intelligent media education for the elderly are necessary.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.20 no.4
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• pp.1309-1319
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• 1996

The research for the classification of the natural defects in welding zone is performd using the neuro-pattern recognition technology. The signal pattern recognition package including the user's defined function is developed to perform the digital signal processing, feature extraction, feature selection and classifier selection, The neural network classifier and the statistical classifiers such as the linear discriminant function classifier and the empirical Bayesian calssifier are compared and discussed. The neuro-pattern recognition technique is applied to the classificaiton of such natural defects as root crack, incomplete penetration, lack of fusion, slag inclusion, porosity, etc. If appropriately learned, the neural network classifier is concluded to be better than the statistical classifiers in the classification of the natural welding defects.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.1-15
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• 2023

Purpose : This study investigates the effectiveness of digital therapy for stroke patients in Korea. Methods : A comprehensive database search was performed using KCI, Science on, e-article, RISS, KISS and Korea OpenMed databases for randomized controlled trials (RCTs) that studied the effects of digital therapy on patients who had a stroke. This study includes RCTs published from January 2000 to July 15, 2022, which fulfilled the inclusion and exclusion criteria. A total 697 studies were screened and 30 studies were included in the final analysis. Methodological quality was assessed with the Cochrane's RoB (risk of bias) tool. Meta-analysis was performed using CMA 4.0 software. Results : A total of 56 effect sizes were calculated from the 30 selected studies. As a result of the analysis, the overall effect size of digital therapy was .59 (95 % CI=.43-.74). When classified according to type of intervention, VR (virtual reality) (g=.58, 95 % CI=.40-.75), and CACR (computer assisted cognitive rehabilitation) (g=.62, 95 % CI=.30-.95) were statistically significant. VR showed medium to large effect sizes in cognitive function (g=.78, 95 % CI=.20-1.37), psychosocial function (g=.63, 95 % CI=.20-1.07), and physical function (g=.61, 95 % CI=.38-.83). In the CACR, there was a large effect size in cognitive function (g=.84, 95 % CI=.52-1.15), but there was no significant difference in psychosocial function. Also, there was no significant difference between the two interventions in activities of daily living and no significant difference in the effect size of both interventions according to the intervention session. Furthermore, medium to large effect sizes were found for subacute and chronic stroke patients according to the duration of disease. Conclusion : This study presents evidence that digital therapy has a positive effect on various functions of stroke patients in Korea. The researchers expect to actively accept the new paradigm of digital therapy and continue to apply digital therapy in clinical practice.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.363-372
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• 2017

Attention deficit hyperactivity disorder (ADHD) is a relatively common condition of childhood onset and is of significant educational and social concern in elementary school. Investigating the determinants of teachers' attitudes and behavior and their relative importance is crucial for improving teaching practices and initial teacher education for effective inclusion of ADHD children. Based on two hundred and twenty seven survey responses from elementary school teachers, having experienced in dealing with ADHD students, this paper examines the age, gender, career and training-hours effects on the knowledge, attitude, stress and inclusive education involving ADHD children. The regression analysis shows that the gender influences the level of stress and that the training hours has some impact on the knowledge about ADHD at 5% significance level. However, the number of ADHD children experienced, age, gender, career and training-hours were identified as the non-significant predictors of teaching behavior in relation to ADHD children. As a conclusion, a brief discussion concerning the critical needs of elementary school teachers is also presented.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.39-46
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• 2023

The rise in popularity of cloud services has brought about a heightened concern for security in the field of cloud computing. As a response, governments have implemented CSAP(Cloud Security Assurance Program) to ensure the security of these services. However, despite such measures, the emergence of various security vulnerabilities persists, resulting in incidents related to cloud security breaches. To address this, the utilization of Common Vulnerabilities and Exposures (CVE) has been proposed as a means to facilitate the sharing of vulnerability information across different domains. Nevertheless, the unique characteristics of cloud services present challenges in assigning CVE IDs to the diverse range of vulnerabilities within the cloud environment. In this study, we analyzed how CVE can be effectively employed to enhance cloud security. The assignment of a CVE ID is contingent upon the fulfillment of three rules in the Counting Decision and five rules in the Inclusion Decision. Notably, the third rule in the Inclusion Decision, INC3, clashes with the nature of cloud services, resulting in obstacles in assigning CVE IDs to various cloud vulnerabilities. To tackle this issue, we suggest the appointment of designated individuals who would be responsible for overseeing specific areas of cloud services, thereby enabling the issuance of CVE IDs. This proposed approach aims to overcome the challenges associated with the unique characteristics of cloud services and ensure the seamless sharing of vulnerability information. Information sharing regarding vulnerabilities is crucial in the field of security, and by incorporating cloud vulnerabilities into the CVE system, this method can contribute to enhancing the security of cloud services.

• Applied Microscopy
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• v.36 no.3
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• pp.217-226
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• 2006

Image processing by ultra high voltage electron microscopy (UHVEM) and tomography has offered major contributions to research in the field of cellular ultrastructure. Furthermore, such advancements also have enabled the improved analysis of three-dimensional cellular structures in botany. In the present study. using UHVEM and tomography, we attempted to reconstruct the three-dimensional images of plastid inclusions that probably differentiate during photosynthesis. The foliar tissues were studied Primarily with the TEM and further examined with UHVEM. The spatial relationship between tubular elements and the thylakoidal membrane and/or starch grains within plastids mainly have been investigated in CAM-performing Sedum as well as in $C_4$ Salsola species. The inclusion bodies were found to occur only in early development in the former, while they were found only in mesophyll cells in the latter. The specimens were tilted every two degrees to obtain two-dimensional images with UHVEM and subsequently comparison has been made between the two types. Digital image processing was performed on the elements of the inclusion body using tilting, tomography, and IMOD program to generate and reconstruct three-dimensional images on the cellular level. In Sedum plastids, the inclusion bodies consisted of tubular elements exhibiting about 20 nm distance between elements. However, in Salsola, plastid inclusion bodies demonstrated quite different element structure, displaying pattern, and origin relative to those of the Sedum. The inclusion bodies had an integrative relationship with the starch grains in both species.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.155-162
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• 2020

The paper aims to examine the association between information and communication technology (ICT), economic growth and population health based on health production model in Malaysia. This theoretical health production function is represented as follows: where the output is an individual health outcome, and the inputs are determinants of health, such as income, education, health care costs, medical facilities, the environment, and lifestyle. The development of information and communication technologies are represented as of mobile cellular subscriptions (per 100) and fixed telephone subscriptions (100) using time series data from 1993-2017 from the World Bank database. Using the bound testing technique of cointegration, this study finds that ICT affects population health significantly and positively in the long- and short-run. This is because ICT inclusion improves human health and longevity. Whereas, economic growth has no significant impact on the population's health both in the short- and long-run. The findings indicate that a weak global economy affects Malaysia's economic growth and reduces the health expenditure per capita. The results of this study suggest that policymakers must develop policies that improves public health by increasing health literacy, disseminating health information and facilitating medical facilities. This study also suggests that health care systems should to concentrate on digital inclusion.

• The Journal of Advanced Prosthodontics
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• v.15 no.6
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• pp.315-332
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• 2023

PURPOSE. This study aimed to investigate whether the accuracy of intraoral scanners is influenced by different scanning strategies in an in vitro setting, through a systematic review and meta-analysis. MATERIALS AND METHODS. This review was conducted in accordance with the PRISMA 2020 standard. The following PICOS approach was used: population, tooth impressions; intervention, the use of intraoral scanners with scanning strategies different from the manufacturer's instructions; control, the use of intraoral scanners following the manufacturers' requirements; outcome, accuracy of intraoral scanners; type of studies, in vitro. A comprehensive literature search was conducted across various databases including Embase, SciELO, PubMed, Scopus, and Web of Science. The inclusion criteria were based on in vitro studies that reported the accuracy of digital impressions using intraoral scanners. Analysis was performed using Review Manager software (version 5.3.5; Cochrane Collaboration, Copenhagen, Denmark). Global comparisons were made using a standardized mean difference based on random-effect models, with a significance level of α = 0.05. RESULTS. The meta-analysis included 15 articles. Digital impression accuracy significantly improved under dry conditions (P < 0.001). Moreover, trueness and precision were enhanced when artificial landmarks were used (P ≤ 0.02) and when an S-shaped pattern was followed (P ≤ 0.01). However, the type of light used did not have a significant impact on the accuracy of the digital intraoral scanners (P ≥ 0.16). CONCLUSION. The accuracy of digital intraoral scanners can be enhanced by employing scanning processes using artificial landmarks and digital impressions under dry conditions.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.393-396
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• 1995

In this syudy, the researches classifying the artificial and natural flaws in welding parts are performed using the smart pattern recognition technology. For this purpose the smart signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing,feature extraction , feature selection and classifier selection is treated by bulk. Specially it is composed with and discussed using the statistical classifier such as the linear disciminant function classifier, the empirical Bayesian classifier. Also, the smart pattern recognition technology is applied to classification problem of natural flaw(i.e multiple classification problem-crack,lack of penetration,lack of fusion,porosity,and slag inclusion, the planar and volumetric flaw classification problem). According to this results, if appropriately learned the neural network classifier is better than ststistical classifier in the classification problem of natural flaw. And it is possible to acquire the recognition rate of 80% above through it is different a little according to domain extracting the feature and the classifier.