• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.141-142
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• 2016

의료 기관에서 정확한 진단하기 위해 아날로그 시스템인 Film System보다 Digital System을 선호하고, 장비의 설치 또한 Digital System으로 많이 보급이 되고 있다. 장비가 많이 보급이 되었지만 현재 장비에 대한 안전관리나 품질관리는 미흡하다고 할 수 있다.이에 본 연구는 Digital System의 품질관리의 중요성을 알리고, 품질관리의 항목을 설정하여, 기준 값을 제시하고자 3개월 동안 SNR, MTF, DQE를 측정한 결과 다음과 같이 나타났다. 1달은 SNR 4.02, MTF 50% 4.6lp/mm, DQE는1.4로 측정이 되었다. 3주후 SNR은 3.55, MTF 50% 3.0lp/mm, DQE는 0.7로 나타났다. 3개월 뒤 SNR은 3.45, MTF 50% 2.1lp/mm, DQE는 0.5로 나타났다. 시간이 지나갈수록 영상의 디지털영상의 물리적 평가들이 저하되는 것으로 나타났다. 시간이 지나감에 따라 의료영상이 저하됨에 따라 안전관리 뿐만 아니라 영상의 품질관리도 같이 이루어져야 할 것이다.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.349-359
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• 2012

There is growing recognition that individuals with mental retardation are particularly vulnerable to sexual abuse due to multiple factors including life-long dependence on adults for care, trained compliance, social isolation, lack of education about sexuality and sexual abuse, and a societal view that devalues people with disabilities. Teaching about sexual abuse only may raise an individual's anxiety without promoting a healthy sexual identity. For many individuals with mental retardation, the provision of formal sexual health education and sexual abuse prevention training has been shown to be protective against exploitation as well as increase appropriate sexual behavior. To maximize the reach of formal sexual health education and abuse prevention promotion effort, this article suggest exploiting the internet and digital contents as delivery vehicles that have uniquely suitable communication characteristics and outstanding ability to reach large numbers of persons with mental retardation. We review the sexual health education programs, utilizing the internet and digital contents, for individuals with mental retardation. We also suggest the revised version of the Information-Motivation-Behavioral Skills (IMB) model of health behaviour change (Fisher & Fisher, 1992), and give a brief discussion of how useful this model is for constructing a life-long sex education program for persons with mental retardation.

• Women's Health Nursing
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• v.8 no.2
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• pp.222-231
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• 2002

This study was done to develop a digital textbook for students to use over the internet for maternity nursing practice. The textbook is not only for student nurses, but also for nurse midwives and nurses working in the maternity. The process used was as follows; 1. Existing educational media on maternity nursing were reviewed and examined. 2. Workshops and meetings were held to decide the most appropriate type of presentation. 3. The digital content including text, pictures, audios, and videos were developed using Macromedia Dreamweaver, Adobe Photoshop and Adobe Premier. 4.Revisions were made recursively as the content was previewed and implemented over the internet by professionals and the end-users. 5. A database of members and a web survey module were developed and posted. The clinical implication of a digital textbook over the internet is the possibility of using it to educate many student nurses throughout the country and to disseminate the content for whoever needs it in practice settings and facilities. Another implication is that this site stressed interactivity by developing member database and web survey. In conclusion, the study found this first trial of digital textbook to be a unique educational media for nursing skills practice. Further refinement of this media is strongly recommended.

• Smart Structures and Systems
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• v.33 no.5
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• pp.375-383
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• 2024

Infrastructure facilities contain various pipe systems, which can be considerably damaged by external loads such as earthquakes. Therefore, structural health monitoring (SHM) and safety assessment of pipes are crucial. Digital twin technology for SHM of pipes is important in the industry. This study proposes a digital twin system that estimates the behavior, stress, and external load of real-scale pipes in real time under simultaneous seismic and external loads using a minimum number of sensors. Vibration tests were performed to construct the digital twin system, and a numerical model was developed that considered the dynamic characteristics of a target pipe. Moreover, a reduced-order modeling technique of a numerical model was applied to enhance its real-time performance. The digital twin system successfully estimated the response of the pipe at all points. Verification of the digital twin system was performed by comparing it with the experimental parameters of a real-scale pipe. The proposed digital twin system can help enhance SHM and system's maintenance.

• Digital Contents Society Review
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• v.2 no.1
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• pp.10-18
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• 2006

• Healthcare Informatics Research
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• v.24 no.4
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• pp.253-262
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• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.571-581
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• 2016

The purpose of this study was to examine the relationships among the physical competence, subjective health status, and health promoting behavior of elderly participating in health activity program. For these purposes, we conducted a survey with 207 elderly. The findings were as follows. First, high physical strength group compared to the other groups had high subjective health status and health promoting behavior. Second, physical competence influenced positively on subjective health status. Third, physical competence influenced not significantly on health promoting behavior. Fourth, subjective health status influenced positively on health promoting behavior. These results were discussed based on previous literature and theory.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.81-92
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• 2021

The purpose of this study is to present an approach to the "Digital Health Passport" (DHP), which will be the most important in the change of the travel industry among the sudden environmental changes brought about by COVID-19. To this end, this study reviewed a variety of empirical literature on DHP, and proposed a framework for DHP based on literature review. The framework is composed of travel intention, health information provision intention, and new technology acceptance/adoption of tourists. First, in terms of travel intention, providing information to DHP should not undermine the travel intention of the travelers. It should be possible to facilitate the travelers' enjoyment by using the information provided by the traveler. In addition, there is a need to assure that the data provided by travelers is managed in a reliable way. Second, it is necessary to understand why the travelers want to provide additional personal information (information disclosure), rather than seeing healthcare information only in terms of mandatory information provision. Finally, from the perspective of new technology, it is necessary to understand the intention of travelers to use/adopt DHP. The key implication of this work is that it proposed a DHP framework for realizing the travel bubble to predict and respond to foreign travelers' behaviors.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.293-294
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• 1998

In this paper, the electric properties of amorphous selenium specimen has been investigated. Amorphous selenium was thermally evaporated on the glass plate which had been deposited onto the interface by aluminium as an electrode. On the surface of the amorphous selenium, the aluminium electrode was deposited again in order to make an unit cell for dark current measurement. The dark current was measured while applying the bias voltage across the selenium layer in the range of 0V-2500 Volts. The leakage property of the amorphous selenium was significantly low at even high voltage range so it has good advantage as a X-ray receptor for digital radiography. For further study, the C-V curves measurement according to thicker amorphous selenium layer.

• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.81-90
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• 2012

For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.