• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.798-801
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• 2009

인구의 고령화와 정보통신 기술의 발전이 맞물리면서 의료비 지출에 대한 절감의 필요성과 편리한 의료 서비스를 이용하고자 하는 소비자의 욕구, 병원에 구축된 IT인프라의 효과를 극대화 시키고자하는 공급자의 욕구 등이 부합되면서 그 기반이 조성된 것으로 볼 수 있다. 본 연구에서는 u-health 소프트웨어의 분야의 기반 기술을 조사하고 u-health 소프트웨어 시장과 표준화 동향을 조사하며 u-health 소프트웨어 신뢰성의 품질평가 메트릭을 개발하였다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.149-156
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• 2020

In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.

• Annual Conference of KIPS
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• 2004.05a
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• pp.1019-1022
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• 2004

일반적으로 해커들은 네트워크상에 있는 목표(Target) 시스템에 대해 공격을 시도하기 위한 사전 단계로 포트 스캐닝(Port Scanning)을 통한 정보 수집의 단계를 선행하게 된다. 이 때, 사용되는 포트 스캐닝 기술은 이미 여러가지 방법이 알려져 있으며, 네트워크 관리자의 입장에서는 정상적인 네트워크 접속과 포트 스캐닝 공격을 구분해야만 한다. 본 논문에서는 네트워크를 통한 공격의 가장 많은 부분을 차지하고 있는 스캐닝 공격을 빠르고 효율적으로 탐지할 수 있는 룰 기반의 침입 탐지 시스템을 커널레벨과 응용레벨에서 설계하고 구현하였다.

• Annual Conference of KIPS
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• 2010.11a
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• pp.783-785
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• 2010

최근 세계적으로 소셜 네트워킹에 대한 관심과 스마트폰의 기술이 발전함에 따라 사용자를 위한 다양한 인터페이스가 요구되고 있다. 항상 사용자의 손이 닿는 곳, 바로 옆에 위치한 모바일 단말기에서 다양한 센서를 집약하여 감정을 인식하고 인식된 정보와 위치 정보를 결합하여 세계적으로 관심이 높은 소셜 네트워킹의 인터페이스를 설계하고 구현하였다.

• Convergence Security Journal
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• v.19 no.4
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• pp.123-132
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• 2019

Rapid developments of IT technology has been creating new security threats. There have been more attacks to get patients' sensitive personal information, targeting medical institutions that are relatively insufficient to prevent and defend against such attacks. Although the government has required senior general hospitals to get the ISMS certification since 2016, such a requirement has been burdensome for small and medium-sized medical institutions. Therefore, this study was designed to draw measures to identify and improve the privacy status of the medical institution by dividing it into management, physical and cyber areas for small and medium-sized medical institutions. The results of this study showed that the government should provide financial support and managerial supervision for the improvement of personal information protection of small and medium-sized medical institutions. They also suggested that the government should also provide medical security specialists, continuous medical security education, disaster planning, reduction of medical information management regulations not suitable for small and medium sized institutions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.555-557
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• 2018

The average lifespan of humans is expected to rise to 100 years, not 80 years, as a result of the advances in medical technology, and soon the age of 100 era is expected to open. The fourth industrial revolution, which is the core of the convergence, is emerging as a major issue in the modern society. Therefore, the importance of services along with medical technologies is increasing. Accordingly, medical tourism, a combination of medical technology and tourism, is emerging as a promising industry, and countries around the world classify the medical tourism industry as one of the core strategic industries and nurture it actively. In accordance with this, contents and marketing that can impress a user with a management strategy are developed and provided, but the management system maintains the existing ones, which is a limitation. Therefore, there is a need for an efficient medical tourism management system along with a user-oriented system such as marketing and contents.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.19-26
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• 2013

As the Medical Serious Games are recently proven effective, the quality evaluation of the game has become an important issue. In quality evaluation, objective criteria and evaluation elements are important. Quality evaluation of the serious game is divided into two areas : the technical (from the point of view of Program) and the non-technical (from the point of view of Content). In this study, we developed the quality evaluation element of the non-technical area to the psychotherapy and the health & rehab game according to developing process of quality evaluation model. We extracted five evaluation elements from the two kinds of medical games, and interviewed with medical experts in order to ensure the validity of them. The goodness of fit tests for the elements mentioned above were verified by conducting. Chi-square test results for the two groups did not differ significantly. In conclusion, we expect to take advantage of the results of this study to design and develop serious games for medical treatment.

• Annual Conference of KIPS
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• 2021.05a
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• pp.454-456
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• 2021

본 논문은 웹의 발달로 인하여 의료 서비스들이 기존의 Client-Server 방식의 제품에서 Web 방식의 제품으로 변경되고 있는 현대 흐름에서 인공지능 어플리케이션 또한 Web 으로 서비스 하기 위한 방법과 구현된 요로결석 AI 어플리케이션에 대해 기술한다. 이를 구현하기 위해 Python 기반의 Flask 라는 마이크로 웹 프레임워크를 사용하여 DICOM 핸들링, Pre-Processing, Mask 를 생성하고 Predict 결과를 Model Serving 을 통하여 Urinary Stone Segmentation Model 이 서비스되는 인공지능 웹 어플리케이션 동작 방식과 수행 결과를 보인다.

• Annual Conference of KIPS
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• 2021.11a
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• pp.577-579
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• 2021

의료영상기반의 인공지능 연구는 질환의 조기진단 및 예측 분야에 눈부신 기술발전이 되어왔다. 근감소증 질환은 다양한 기저질환을 기반으로 발생하며, 특히 60대 이상은 30%의 유병율을 갖는다. 해당 질환은 임상적인 진단 방법의 발달과 임상 결과가 알려지면서 관심이 증가하고 있다. 최근 근감소증 진단방법 중의 하나로 CT 또는 MR 의료영상을 통한 진단방법이 제시되었다. 본 논문에서는 인공지능을 기반으로 하여, 근감소증을 진단하기 위해 척추부위 중 Lumbar 3 영역의 근육, 지방 영역의 영상분할 모델을 제시하고자 한다. 이를 위해 인공지능 영상분할 모델을 개발하는 과정과 그 근육과 지방의 영상분할 결과를 보인다. 본 논문에서 제시한 영상분할모델을 통해 근감소증을 빠르게 진단할 수 있을 것으로 기대한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1949-1955
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• 2021

With the recent COVID-19 situation, countries are seriously feeling the need for medical personnel and their technologies. PDepending on the aging society, the number of medical staff is actually decreasing, and in order to solve this problem, research is needed to replace the part that does not require high expertise among actual medical practices performed by doctors. This paper describes and proposes actual research methods related to unmanned medical systems that use various deep learning image processing-based technologies to check the recovery status applicable to rehabilitation areas where medical staff should face patients directly. The proposed method replaces passive calculations such as a protractor or a method of drawing a line in a photograph, which is the method used for actual motion comparison. Since it is performed in real time, it helps to diagnose quickly, and it is easy for medical staff to provide necessary information because data on the degree of match of motion performance can be checked.