• KIPS Transactions on Computer and Communication Systems
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• v.12 no.3
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• pp.119-126
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• 2023

Sarcopenia is not well known enough to be classified as a disease in 2021 in Korea, but it is recognized as a social problem in developed countries that have entered an aging society. The diagnosis of sarcopenia follows the international standard guidelines presented by the European Working Group for Sarcopenia in Older People (EWGSOP) and the d Asian Working Group for Sarcopenia (AWGS). Recently, it is recommended to evaluate muscle function by using physical performance evaluation, walking speed measurement, and standing test in addition to absolute muscle mass as a diagnostic method. As a representative method for measuring muscle mass, the body composition analysis method using DEXA has been formally implemented in clinical practice. In addition, various studies for measuring muscle mass using abdominal images of MRI or CT are being actively conducted. In this paper, we develop an AI image segmentation model based on abdominal images of CT with a relatively short imaging time for the diagnosis of sarcopenia and describe the multicenter validation. We developed an artificial intelligence model using U-Net that can automatically segment muscle, subcutaneous fat, and visceral fat by selecting the L3 region from the CT image. Also, to evaluate the performance of the model, internal verification was performed by calculating the intersection over union (IOU) of the partitioned area, and the results of external verification using data from other hospitals are shown. Based on the verification results, we tried to review and supplement the problems and solutions.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.91-101
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• 2011

This research aims to suggest web-based 3D face modeling system for hairline modification surgery. As public interests in beauty regarding face escalate with era of wide persoanl mobile smart iCT devices, need for medical information system is urgent and increasing demand. This research attempted to build 3D facing modeling library deploying conventional technology and proprietary software available. Implications from the our experiment found that problems and requirement for developing new web based standard. We suggest new system from our experiment and literature review regarding relevant technologies. Main features of our suggested systems is based on studies regarding hair loss treatment such as medical science, beauty studies and information technology. This system processes input images of 2D frontal and profile pictures of face into 3D face modeling with mesh-data. The mesh data is compatible with web standard technology including SVG and Canvas Tag supported natively by HTML5.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.8-16
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• 2013

Active studies are under way on telemedicine and medical support based on mobile devices in order to vitalize U-Healthcare. Especially when the medical law is revised to allow a remote prescription system, studies on a mobile prescription system will rapidly increase. And yet since mobile apps have less compatibility due to the nature of mobile platform, there is a restriction that they have to be redeveloped to be compatible with the platform. To compensate this problem, this study designs a mobile web prescription interface by using HLTML5, the standard language of mobile web development and jQuery Mobile, a JavaScript Library. It also adds a feature of converting to a form of standard protocol HL7-based messages to share data with existing hospital information system. This interface makes it possible to be interlocked with the existing hospital information system through the transmission of the HL7 messages. The advantage of the proposed system is that it can be used in various environments since it is independent of mobile platforms and compatible with general computers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.701-708
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• 2021

In this paper, I investigate the performances of the discovery and the message transmission of the DDS (Data Distribution Service) included the security function. The DDS serves the communication protocol, a publication- subscription method, for the real-time communication in the distributed system. The publication-subscription method is used in the various area in terms of defence, traffic and medical due to the strength such as a performance, scailability and availability. Nowadays, many communication standard has included and re-defined the security function to prepare from dramatically increased a threat of the security, the DDS also publishes the standard included the security function. But it had been not researched that the effect of increased a overhead for legacy systems due to the using of the security DDS function. The experimental results show that the comparative performance of legacy DDS and security DDS in terms of the discovery and the message transmission.

• Journal of the Korean Society of Radiology
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• v.82 no.5
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• pp.1196-1206
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• 2021

Purpose To construct a standard dataset of contrast-enhanced CT images of liver tumors to test the performance and safety of artificial intelligence (AI)-based algorithms for clinical decision support systems (CDSSs). Materials and Methods A consensus group of medical experts in gastrointestinal radiology from four national tertiary institutions discussed the conditions to be included in a standard dataset. Seventy-five cases of hepatocellular carcinoma, 75 cases of metastasis, and 30-50 cases of benign lesions were retrieved from each institution, and the final dataset consisted of 300 cases of hepatocellular carcinoma, 300 cases of metastasis, and 183 cases of benign lesions. Only pathologically confirmed cases of hepatocellular carcinomas and metastases were enrolled. The medical experts retrieved the medical records of the patients and manually labeled the CT images. The CT images were saved as Digital Imaging and Communications in Medicine (DICOM) files. Results The medical experts in gastrointestinal radiology constructed the standard dataset of contrast-enhanced CT images for 783 cases of liver tumors. The performance and safety of the AI algorithm can be evaluated by calculating the sensitivity and specificity for detecting and characterizing the lesions. Conclusion The constructed standard dataset can be utilized for evaluating the machine-learning-based AI algorithm for CDSS.

• Journal of the Korean Institute of Gas
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• v.5 no.4 s.16
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• pp.1-7
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• 2001

This paper presents a 'consequence analysis' for vapor cloud explosions caused by heavy gas leakages from commercially used storage tanks at petrochemical plants. Particularly, this paper emphasizes on evaluating the results of various vapor cloud explosion accidents from Butane storage tanks. Also this paper analyses the impact of variables on the accidents in order to acquire the optimum conditions for variables. $SuperChems^{TM}$ Professional Edition was applied to analyse the impact (If atmospheric and other variables in the situation where vapor cloud continuously disperses from the ground level. Under the assumption that practical operating conditions are selected as a standard condition, and Butane leaks from the storage tank for 15 minutes, the results show that the maximum distance of LFL (Lower Flammable Limit) was 52 meters and overpressure by the vapor cloud explosion was 1 psi at 128.2 meters. It is observed that the impact of the variables on accidental Butane storage tank leakage mainly varied upon atmospheric stability, wind velocity, pipe line size, visible length, etc., and changes in the simulation result occurred as the variables varied. The maximum distance of the LFL (Lower Flammable Limit) increased as the visible length became shorter, the size of the leak became larger, the wind velocity was decreased, and the climatic conditions became more stable. Thus, by analysing the variables that influence the simulation results of explosions of Butane storage tanks containing heavy gases, I am presenting the most appropriate method for 'consequence analysis' and the selection of standards for suitable values of variables, to obtain the most optimal conditions for the best results.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.573-578
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• 2014

Recently as we enter into the world of an aging society, the U-Healthcare service is newly spotlighted. In order to secure this U-Healthcare, a development of security solution that is suitable for the U-Healthcare environment is required. But the U-Healthcare environment is difficult to apply the existing security solution with the lack of standards, a security solution with high completeness was not developed. At this point, in order to structure the safe U-Healthcare environment, a generating method of an encryption key using the body information that helps the effective key management and ensuring the confidentiality of the data is proposed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.757-759
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• 2011

본 논문에서는 홈 헬스케어에서 건강측정을 위하여 가장 많이 사용되는 개인 건강 기기(personal health device)인 혈당계, 혈압계, 심박측정계(heart rate monitor), 산소포화도 측정계(pulse-oximeter), 심전도 측정계(ECG monitor)의 5가지 홈 헬스케어 의료기기를 구성하고 표준 핵심 기술 요소인 ISO/IEEE 11073, HL7을 준용하는 게이트웨이 플랫폼을 스마트폰에 적용하여 기존의 홈 헬스케어 시스템을 구성하는 단말기 형태의 게이트웨이나 홈 서버 하드웨어 구성을 필요로 하지 않으면서 집안의 고정된 게이트웨이로 인해서 생기는 위치종속성 문제를 해결할 수 있는 PMG(personal mobile gateway) 기반의 홈&모바일 헬스케어 시스템을 개발하고자 한다.

• Information and Communications Magazine
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• v.27 no.1
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• pp.21-27
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• 2009

IT KOREA 미래전략 '5대 핵심과제'의 전략분야별 주요 이슈와 현재 R&D현장에서 추진 중이거나 추진 예정으로 있는 연구개발 방향과 유망기술에 대해 간략히 살펴보고자 한다. IT융합 부문은 IT와 상호 Win-Win 가능한 자동차 조선 의료 등 비(非)IT산업의 IT융합을 촉진하고, 시스템반도체 스마트SOC Green IT 등을 고도화한다는 전략을 토대로 4개 전략분야에서 23개의 유망기술을 발굴 제시하였다. SW 부문은 IT 분야 중 가장 취약한 것으로 평가되고 있는 SW산업을 하드웨어 인프라 등과 연계하여 세계시장 진출이 가능한 수준으로 동반성장 시킨다는 전략을 기반으로 R&D 연관성이 높은 2개 전략분야에서 11개의 유망기술을 발굴 제시하였다. 주력 IT기기 부문은 반도체 디스플레이 휴대폰 등 이미 세계 시장에서 독자적 위치를 차지하고 있는 하드웨어산업의 글로벌 주도권을 더욱 확고히 한다는 전략에 따라 5개 전략분야에서 유망기술 10개를 발굴 제시하였다. 방송통신 부문은 WiBro DMB 등 세계적 수준의 방송통신기술을 바탕으로 4G 3DTV 등 차세대 방송통신기술의 핵심원천기술을 개발하고, 국제표준을 확보한다는 전략을 기반으로 4개 전략분야에서 유망기술 8개를 발굴 제시하였다. 인터넷 부문은 UBcN 미래인터넷 정보보안 등을 대상으로 하고 있으며, 특히 미래인터넷의 경우, 초기 개발단계부터 핵심원천기술 확보를 목표로 시스코 구글 등과 같은 세계적인 기업들을 배출할 수 있는 여건을 조성한다는 전략에 따라 4개 전략분야에서 유망기술 8개를 발굴 제시하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.113-116
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• 2015

This paper presented about the system for controlling a wireless power transmission using bluetooth protocol. Bluetooth protocol has been applied in many fields that communicate with data and audio signal in short range. Recently, however, Bluetooth low energy(BLE) more simple than the existing protocol is standardized and is widely used in medical applications and consumer electronics that handle small amount of sensor data and transmit by the low power control signal. It has also been adopted as the standard for the control in the wireless power transfer system. In this paper, We analysed and described the bluetooth low energy protocol techniques for controlling the wireless power transfer system.