• 디지털정책학회지
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• 제3권1호
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• pp.11-20
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• 2024

시대적 디지털 환경변화를 반영하는 지능정보사회는 개인적인 삶의 변화 가능성으로 기대되는 반면, 지능정보기술에 익숙하지 않은 정보취약계층의 디지털 격차는 활용 불가능의 불편함을 넘어 지능정보사회에서 누릴 수 있는 사회적·경제적 불평등이 야기되는 현실이다. 본 연구는 지능정보사회의 디지털 포용 실현을 위한 노인 미디어교육 분야의 과제를 도출하는 데 목적이 있다. 이를 위해 '제6차 국가정보화 기본계획(2018~2022)'과 '2022 교육정보화백서(2022)'를 통해 지능정보사회와 관련되는 국가정보화 비전, 목표, 전략 및 과제를 살펴보았으며, '2022년 디지털 정보격차 실태조사' 결과를 통해 취약계층으로 분류된 노인층의 디지털 격차 현황을 통하여 디지털정보화 역량(54.5%)과 디지털 정보화 활용수준(72.6%)은 낮은 것으로 파악하였다. 지능정보사회에서 노인층의 디지털 정보격차를 완화하기 위해서 노인 미디어교육 분야에서는 지능정보기술을 활용한 지능형 미디어교육 서비스 개발, 늘배움 온라인서비스 채널을 통한 노인 미디어교육 서비스 제공, 노인층을 위한 디지털 지능형 미디어 교육 지원 등이 필요할 것으로 여겨진다.

• 대한기계학회논문집A
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• 제20권4호
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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.

• 대한통합의학회지
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• 제11권4호
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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.

• 디지털융복합연구
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• 제15권5호
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• pp.363-372
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• 2017

주의력결핍 과잉행동장애(ADHD)는 소아청소년기에 흔히 나타나는 장애질환으로 초등학교 아동들의 교육적, 사회적 적응에 어려움을 불러일으키는 요인 중의 하나이다. ADHD 증상아동들은 다른 학생들과 함께 가르치는 교사들의 태도와 행동을 결정하는 요인에 대한 분석은 효율적인 통합교육을 위한 교육방법의 개선과 교사 교육을 위해 필요한 과정이다. 본 연구에서는 ADHD 아동을 경험한 적이 있는 227명의 초등교사 설문조사를 바탕으로 나이, 성별, 교직경력, 연수시간 등이 지식, 태도, 스트레스 및 교실에서의 통합교육 의지에 미치는 영향 정도를 살펴보고자 하였다. 회귀분석 결과, 5% 유의수준에서 성별은 스트레스에, 연수시간은 ADHD 관련지식수준에 영향을 미치는 것으로 나타났다. 그렇지만 ADHD 학생의 지도경험, 나이, 성별, 교직경력, 연수시간 등의 요인은 통합교육 의지에 별다른 영향을 미치는 않는 것으로 분석되었다. 결론으로 교사들의 정책적 지원요구사항도 간략히 요약하여 제시하였다.

• 디지털산업정보학회논문지
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• 제19권2호
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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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• 제36권3호
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• pp.217-226
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• 2006

발달중인 Sedum 및 Salsola의 엽육조직을 chemical fixation과 high pressure freezing (HPF) 등으로 고정한 후, 초박 및 후박절편으로 제작 carbon coating하여 TEM 및 UHVEM으로 연속절편에 의한 2-D영상과 tilt image data를 수집하였다. 이후 초미세 구조들에 대하여 tilting 및 tomography 기법, 그리고 디지털화한 image의 3-D 입체구조 재구현에 필수적인 IMOD 프로_그램을 적용한 image 처리과정을 거쳐 UHVEM data에서 색소체내 초미세구조의 정보를 추출하여 세포수준에서의 3-D image를 분석하였다. 색소체 기질에서 녹말입자 및 틸라코이드에 인접하여 형성되는 CAM및 $C_4$ 식물 색소체 결정체들은 어떤 막으로도 둘러싸이지 않는 구조로서, Sedum rotundifolium 색소체내 결정체는 수 ${\mu}m$에 이르는 커다란 크기로 형성된다. 결정체 내에는 약 20nm격자거리로 이루어진 기원을 알 수 없는 수백-수천 개의 미세소관성 요소들이 평행 또는 격자상태로 정교한 구조를 이루며, 티라코이드 및 녹말입자와 인접하여 발달하였다. $C_4$ 광합성 수행 Salsola komarovii의 경우, 결정체는 엽육세포 색소체에서만 발달하며 결정체 구성 기본요소들이 비교적 규칙적인 격자거리를 이루며 수십 개 배열하는 구조를 형성하였다. 특히, tilted image및 3-D 입체구조 연구에서 결정체 형성에는 이들과 인접하여 발달하는 틸라코이드막이 관여함을 알아 낼 수 있었다. 이는 엽육세포 색소체에는 결정체들이 식물이 수행하는 광합성 유형에 따라 각기 다른 구성요소로 형성되어 Sedum의 경우와 같이 발달 중인 엽육조직에서 분화하거나 Salsola에서와 같이 세포 유형에 따라 상이하게 발달하는 것으로 추정되었다.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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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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• 제15권6호
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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.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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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.

• 유통과학연구
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• 제22권3호
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• pp.113-124
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• 2024

Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.