• 한국패션뷰티학회지
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• 제5권1호
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• pp.87-96
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• 2007

Patterns have their own shapes and characteristics as a symbol in accordance with in what environment they are like a language. Especially our ancestor had wished present values as like riches and honors, longevity and health, love and happiness through all kinds of patterns of animals, plants, the sun, the moon, cloud, water and mountain, and expressed an aesthetic consciousness. Pattern design is important in fashion but it is insufficient in terms of the development of modern patterns based on Korean traditional patterns. Therefore, We need to create new senses and thoughts through the understanding and re-analysis about Korean traditional costume and a study on optical patterns could give an extreme effect without any changes of silhouette. Especially, Emilio Pucci and Missoni have been developing a variety of Pattern designs even though there are different tendencies each other. Consequently it could be a good chance to show Korean images and originality that develope the various textile patterns with applying to Korean traditional patterns based on an analysis of their works.

• 한국전자통신학회논문지
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• 제15권5호
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• pp.973-980
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• 2020

4차 산업혁명의 기술을 활용한 다양한 응용 솔루션들이 보건 복지 분야에 적용되어지고 있다. 제안한 논문에서는 빅데이터 기반의 시니어 돌봄 시스템 솔루션을 설계한다. 제안 시스템의 작동원리는 시니어의 행동분석을 스마트기기의 API정보를 통하여 수집한 후, 기존의 기준치와 다른 반응을 보일 경우에 시니어 당사자에게 1차적으로 알림을 보낸다. 만일 응답이 없을 경우에는 2차적으로 동료시니어와 가족구성원 및 응급상황센터에 정보를 제공함으로써 위험상황을 미연에 방지할 수 있는 시스템을 제안한다.

• 대기
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• 제17권1호
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• pp.45-53
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• 2007

In order to investigate the impacts of heat wave on human health, cluster analysis of meteorological elements (e.g., temperature, dewpoint, sea level pressure, visibility, cloud amount, and wind components) for identifying offensive synoptic air masses is employed. Meteorological data at Seoul during the past 30 years are used. The daily death data at Seoul are also employed. Occurrence frequency of heat waves which is defined by daily maximum temperature greater than the threshold temperature (i.e., $31.2^{\circ}C$) was analyzed. The result shows that the frequency and duration of heat waves at Seoul are increasing during the past 30 years. In addition, the increasing trend of the frequency and duration clearly appears in late spring and early autumn as well as summer. Factor analysis shows that 65.1% of the total variance can be explained by 4 components which are linearly independent. Eight clusters (or synoptic air masses) were classified and found to be optimal for representing the summertime air masses at Seoul, Korea. The results exhibit that cluster-mean values of meteorological variables of an offensive air mass (or cluster) are closely correlated with the observed and standardized deaths.

• Asian Journal of Atmospheric Environment
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• 제9권4호
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• pp.272-279
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• 2015

The information about the dispersion and scavenging of traffic-related pollutants at the locations near busy expressways is very helpful to highway planners for developing better plans to reduce exposures to air pollution for people living as well as children attending schools and child care centers near roadways. The objective of the current study was to give information in the dispersion and scavenging of vehicle-derived pollutants at the region near a busy urban expressway by a combination of two different model calculations. The modified Gaussian dispersion model and the Lagrange type below-cloud scavenging model were applied to evaluate $NO_x$ dispersion and DEP (Diesel exhaust particles) wet removal, respectively. The highest $NO_x$ was marked 53.17 ppb within 20-30 meters from the target urban expressway during the heaviest traffic hours (08:00AM-09:00AM) and it was 2.8 times higher than that of really measured at a nearby ambient measuring station. The calculated DEP concentration in size-resolved raindrops showed a continuous decreasing with increasing raindrop size. Especially, a noticeable decrease was found between 0.2 mm and 1.0 mm raindrop diameter.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.677-680
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• 2013

최근 IT, BT, NT 등의 융합과 정보시스템의 비약적 발전으로 정보통신 서비스가 활성화되면서 SNS, 클라우드 서비스 등 신규서비스가 증가함에 따라 개인정보의 유출위험이 증대되고 있다. 특히 IT와 의료 분야는 지속적인 경제 발전과 고령화 사회 진입으로부터 발생되는 문제를 해결하고 삶의 질 향상에 대한 요구에 따라 IT 기술을 활용한 새로운 의료기기 및 유헬스 서비스의 새로운 시장을 형성을 기대할 수 있다. 하지만 이러한 IT 기술의 도입으로 대부분의 의료 정보 시스템이 전산화 되면서 의료기관간에도 의료정보정보의 교환 및 전송이 자주 발생함에 따라 의료 정보유출 및 보안에 대한 위험성이 커지고 있다. 따라서 본 연구에서는 개인 의료정보 보호와 관련 주요 법 제도와 관리적, 기술적 보호 방법을 검토 및 분석한다.

• 한국융합학회논문지
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• 제7권2호
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• pp.7-12
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• 2016

반려동물을 키우는 사람들이 가장 중요시 여기는 부분이 바로 반려동물의 건강이다. 하지만 많은 사람들이 자신의 반려견이 비만인지 여부를 모르고 있다. 통계에 따르면 비만을 앓고 있는 반려견은 40%나 된다고 한다. 우리가 설계 개발한 이 앱은 현재 사용자가 많은 Android OS 기반의 Device에서 제공하고 있다. 어플리케이션 용량을 줄이기 위해 견종에 따른 표준 체중과 예방접종 시기 같은 데이터는 서버에 데이터베이스화 하였고 사용자가 입력을 하면 서버에 있는 데이터를 분석하여 현재의 상태를 보여준다. 아울러 커뮤니티 공간을 연계 구현하여 사용자 간의 정보를 나눌 수 있도록 설계하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.560-563
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• 2016

의료와 헬스케어 분야의 변화는 디지털 기술로부터 시작된다. 디지털 헬스케어라는 새로운 분야는 기존 헬스케어 및 의료 기술이 디지털 기술과 융합되어 시작된 것으로 ICBM(사물인터넷 클라우드 빅데이터 모바일), 인공지능, 로봇, 가상 증강현실, 웨어러블기기 등 ICT 기술을 활용해 건강관리 질병관리 등 헬스케어서비스 효과를 높이고 의료비용을 절감시키는 융합산업이다. 최근에는 구글 알파고와 IBM 왓슨 등 인공지능기술을 헬스케어 영역에 접목되고 있다. 따라서 본 연구에서는 디지털 헬스케어의 주요 기술, 생태계와 플랫폼, 그리고 미래의료서비스 변화 및 이슈를 분석한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1812-1824
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• 2019

The location and human activity are usually used as one of the important parameters to monitor the health status in healthcare devices. However, nearly all existing location and monitoring systems have the limitation of short-range communication and high power consumption. In this paper, we propose a new mechanism to collect and transmit monitoring information based on LoRa technology. The monitoring device with sensors can collect the real-time activity and location information and transmit them to the cloud server through LoRa gateway. The user can check all his history and current information through the specific designed mobile applications. Experiment was carried out to verify the communication, power consumption and monitoring performance of the entire system. Experimental results demonstrate that this system can collect monitoring and activity information accurately and provide the long rang coverage with low power consumption.

• 한국인공지능학회지
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• 제10권2호
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• pp.13-18
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• 2022

The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.

• Archives of Plastic Surgery
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• 제48권3호
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• pp.295-304
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• 2021

Clinical photography is an essential component of patient care in plastic surgery. The use of unsecured smartphone cameras, digital cameras, social media, instant messaging, and commercially available cloud-based storage devices threatens patients' data safety. This paper Identifies potential risks of clinical photography and heightens awareness of safe clinical photography. Specifically, we evaluated existing risk-mitigation strategies globally, comparing them to industry standards in similar settings, and formulated a framework for developing a risk-mitigation plan for avoiding data breaches by identifying the safest methods of picture taking, transfer to storage, retrieval, and use, both within and outside the organization. Since threats evolve constantly, the framework must evolve too. Based on a literature search of both PubMed and the web (via Google) with key phrases and child terms (for PubMed), the risks and consequences of data breaches in individual processes in clinical photography are identified. Current clinical-photography practices are described. Lastly, we evaluate current risk mitigation strategies for clinical photography by examining guidelines from professional organizations, governmental agencies, and non-healthcare industries. Combining lessons learned from the steps above into a comprehensive framework that could contribute to national/international guidelines on safe clinical photography, we provide recommendations for best practice guidelines. It is imperative that best practice guidelines for the simple, safe, and secure capture, transfer, storage, and retrieval of clinical photographs be co-developed through cooperative efforts between providers, hospital administrators, clinical informaticians, IT governance structures, and national professional organizations. This would significantly safeguard patient data security and provide the privacy that patients deserve and expect.