• Journal of Radiation Protection and Research
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• 제39권4호
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• pp.213-217
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• 2014

중재방사선을 이용한 의료적 시술이나 진단은 꾸준히 증가하고 있다. 특히 환자에 근접하여 이루어지는 중재방사선시술의 특성상 시술자에 대한 직무피폭의 관리 및 감시가 중요하다. 개인선량계를 통해 측정되는 방사선 방호 실용량인 심부선량은 중재방사선시술의 경우 균질한 방사선장에 의해 전신에 고르게 노출되는 경우가 아니므로 유효선량을 항상 대표할 수는 없다. 따라서 본 연구에서는 C-arm을 이용한 대표적인 중재방사선시술에 대해 수학적 모의피폭체와 몬테카를로 방법을 이용한 계산과 개인선량계를 이용한 실측을 통해 개인선량당량과 장기별 선량을 평가하고자 하였다. 주요 장기별 선량평가 결과는 개인선량계로 측정된 선량 값보다 낮았으나, 갑상선과 같은 장기는 전신 연조직 선량보다 상당히 높은 것으로 평가되었다. 중재방사선시술자에 대한 적절한 방사선방호를 위해 납치마의 착용과 같은 전신 방호와 더불어 갑상선 방호와 같은 추가적인 방호조치가 고려되어야 할 것이다.

• 대한한의학원전학회지
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• 제32권1호
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• pp.133-143
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• 2019

Objectives : In this study, we analyze the medical significance of feces symptoms so that the daily records of the feces of individuals can be not only used as a measure of individual health monitoring in daily life, but also more actively connected to the medical treatment of the Korean Medicine (KM). Methods : Categories and clinically significant attributes for symptoms of Urination and defecation in the KM ontology DB are determined, and connected to KM related dialectical indicators by experts' common criteria including Viscera and Bowels [臟腑], eight principles [八綱], Qi Blood fluid and humor phlegm-retained fluid static blood [氣血津液痰飮瘀血], six excesses [六淫]. Results : The analysis of the symptoms of feces in the Korea Medicine ontology shows that the symptoms of stool in categories of 'stool stiffness', 'blood swelling', 'discomfort' are highly ranked among the overall clinical symptom categories. In the case of urine symptoms, symptoms corresponding to 'urine color,' 'urine discomfort,' and 'urine volume' are the top rankers among other total clinical symptoms. In the case of stool, the relationship between the symptom of stool and the categories of spleen, stomach, and colon is increased as the weighted symptom is considered. The relationship between the symptom of urine and the categories of the small intestine and the bladder is increased in the same way. Conclusions : This study could help better utilize the personal generated health records of feces in clinical practice of Korean Medicine.

• 한국컴퓨터정보학회논문지
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• 제26권4호
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• pp.75-84
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• 2021

본 논문에서는 사용자 정보를 신뢰성 있게 관리하는 DID 기반의 견고한 사용자 정보 관리 서비스인 InfoDID를 소개한다. 블록체인 기술은 탈중앙화 기반으로 데이터를 투명하게 다룰 수 있는 환경을 제공하여 현재 블록체인을 활용한 다양한 서비스들이 개발되고 있다. 최근 사용자의 개인 정보에 대한 중요성이 부각되면서 사용자가 자신의 정보를 통제할 수 있는 분산 식별자를 지원하는 DID 기술이 주목받고 있으며, 이를 기반으로 다양한 정보를 관리하는 서비스들이 시도되고 있다. InfoDID는 블록체인 기반의 DID 기술을 활용하여 빈번히 요청되는 개인 정보를 신뢰성 있게 제어하고, 사용자가 자신의 정보를 보다 편리하게 다른 서비스들에게 제공하도록 지원한다. 또한 서비스의 연속성을 지원하기 위하여, InfoDID는 블록체인 응용서비스의 견고한 실행을 제공하는 BR2K 기법을 채택하여 부분적인 서비스 실패의 경우에도 체계적으로 복구될 수 있다. 이러한 작업을 용이하게 수행하기 위하여, InfoDID와 같이 BR2K 기법을 적용한 블록체인 응용서비스의 복제 상태를 지속적으로 확인할 수 있으며 결함 복구를 지원하는 복제 상태 모니터링 도구가 제시된다.

• 한국식품위생안전성학회지
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• 제12권3호
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• pp.240-253
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• 1997

The main problems contributing to food poisoning outbreaks in institutional settings and a home were reviewed and analyzed through the epidemiological investigations of food poisoning. The major documented factors included improper holding temperatures, inadequate cooking, poor personal hygiene, cross-contamination and contaminated equipment, food from unsafe sources, failure to follow food hygiene policies, and lack of education, training, monitoring and superivision. Usually more than one factor contributed to the development of an outbreak. (1) Use of improper holding temperatures was the single most important factor contributing to food poisoning. They included improper cooling, allowing a laps of time (12 hours or more) between preparing food and eating it, improper hot holding, and inadequate or improper thawing. Food thermometers were not used in most of the instances. (2) In inadequate cooking, the core temperature of food during and after cooking had not been measured, and routine monitoring was limited to recording the temperature of plated meals. Compared with conventional methods of cooking, microwave ovens did not protect against food poisoning as effectively. Centralized food preparation potentially increased the risk of food poisoning outbreaks. (3) Poor personal hygiene both at the individual level (improper handwashing and lack of proper hygienic practices) and at the institutional level (poor general sanitization) increased the risk of transmission. Person to person transmission of enteric pathogens through direct contact and via fomites has been noted in several instances. (4) Obtaining food from unsafe sources was a risk factor in outbreaks of food poisoning. Food risks were high when food was grown or harvested from contaminated areas. Possibilities included contamination in the field, in transport, at the retail site, or at the time it was prepared for serving. (5) Cross-contamination and inadequate cleaning/handling of equipment became potential vehicles of food poisoning. Failure to separate cooked food from raw food was also a risk factor. (6) Failure to follow food hygiene policies also provided opportunities for outbreaks of food poisoning. It included improper hygienic practices during food preparation, neglect of personnel policies (involvement of symptomatic workers in food preparation), poor results on routine inspections, and disregarding the results and recommendations of an inspection. (7) Lack of formal and in-service education, training, monitoring, and supervision of food handlers or supervisors were critical and perhaps neglected elements in occurrences of food poisoning.

• 농약과학회지
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• 제15권4호
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• pp.507-528
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• 2011

포장에서 농약 살포액의 조제, 살포 등의 작업을 수행하는 농작업자는 피부노출, 호흡노출경로를 통해 농약에 노출되며, 이러한 상황에서의 농약 노출에 대한 합리적인 위해성 평가를 위해서는 해당 영농상황에서 노출량을 정량적으로 측정해야 한다. 농약 노출 측정방법으로 patch, 장갑, 양말, 마스크를 이용하는 방법과 호흡 노출은 주로 고체흡착제와 공기흡입펌프가 연결된 personal air monitor를 사용하는 것이 좋을 것으로 판단된다. 이 농작업자의 정량적 피부 노출 측정법으로 유효할 것으로 판단된다. 노출 재료에 침착/부착된 농약량이나 고체흡착제에 포집된 농약량을 신체 전체에 대한 농약 노출량으로 외삽하기 위한 EPA 자료를 대체할 수 있도록 한국 사람의 표준 신체표면적 및 호흡률을 제안하였다. 중요한 노출 인자인 피부노출의 의복 침투율과 피부 침투율, 그리고 호흡노출의 침투율을 UK-POEM과 관련된 연구결과를 참고하여 다양하게 제안하였다. 노출 평가를 위한 살포 시간은 노출 측정 재료에 침착된 농약이 분석이 될 만큼 충분한 농약이 포집될 수 있도록 살포시간이 충분해야 하는데, 국내의 SS기나 동력분무기의 경우는 1반복 당 모두 약 20~40분에 살포(약 0.1~0.2 ha)로 해서 3반복 측정 결과를 4시간으로 환산할 것을 제안하였다.

• 한국멀티미디어학회논문지
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• 제23권7호
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• pp.870-882
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• 2020

It is that failure of equipment at the factory site causes personal injury and property damage. We are required a real-time monitoring and risk forecasting techniques to prevent for equipment failure. In this paper, we proposed a 3-phase smart plug and real-time monitoring system that can be used in factories, and collected environmental information and power information using a smart plug to analyze the data. In order to analyze the correlation between the risk situation and the collected data, we predicted the risk situation using Linear Regression, SVM, and ANN algorithms. As a result, the SVM and ANN algorithms obtained high predictive accuracy and developed a mobile app that could use it to check the risk forecast results.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.279-282
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• 2002

In this paper, we present a new method for monitoring of ECU's self diagnostic signals of vehicle without wire. In order to measure the ECU's self diagnostic signals, the interfaced circuit is designed to communicate ECU and a designed display terminal according to the ISO, SAE regulation of communication protocol standard. A 80C196KC processor is used for communicating ECU's self diagnostic signals and the results are sent to PDA monitoring system. Software on PDA is developed to monitor the ECU's self diagnostic signals using the Embedded Visual C++ compiler in which RS232 port is programmed by half duplex method. The algorithms for measuring the ECU's self diagnostic signals are verified to monitor ECU's state. At the same time, the information to fix the vehicle's problem can be shown on the developed PDA software. The possibility for remote measurement of ECU self diagnostic signal using PDA is also verified through the developed systems and algorithms.

• 대한의용생체공학회:의공학회지
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• 제26권5호
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• pp.331-335
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• 2005

The fusion technology of small sensor and wireless communication was followed by various application examples of the embedded system, where the social infrastructural facilities and ecological environment were wirelessly monitored. In addition, this technology represents the primary application area being extended into the healthcare field. In this study, a body area network for ubiquitous healthcare is presented. More specifically this represents a wireless biomedical signal acquisition device characterized by small size, low power consumption, pre-processing and archiving capability. Using this device, a new method for monitoring vital signs and activity is created. A PDA-based wireless sensor network enables patients to be monitored during their daily living, without any constraints. Therefore, the proposed method can be used to develop Activities of Daily Living (ADL) monitoring devices for the elderly or movement impaired people. A medical center would be able to remotely monitor the current state of elderly people and support first-aid in emergency cases. In addition, this method will reduce medical costs in society, where the average life expectancy is increasing.

• 한국정보통신학회논문지
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• 제17권6호
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• pp.1365-1369
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• 2013

최근 u-Healthcare 서비스에서 다양한 생체정보를 간편하게 측정하는 개인건강기기(PHD)와 측정된 정보를 전송하고 수집하기 위한 표준의 필요성이 제품 간의 이식성, 확장성, 상호 운영성을 보장하기 위해 크게 대두되고 있다. 따라서 본 논문에서는 개인건강기기에서 측정된 생체정보(산소포화도, 몸무게, 심전도, 혈압등)를 ISO/IEEE 11073 기반인 Bluetooth Health Device Profile을 이용해서 스마트폰으로 실시간 모니터링 할 수 있는 시스템을 설계 및 구현한다.

• Nuclear Engineering and Technology
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• 제52권4호
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• pp.784-790
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• 2020

The accelerated corrosion by Flow Accelerated Corrosion (FAC) has caused unexpected rupture of piping, hindering the safety of nuclear power plants (NPPs) and sometimes causing personal injury. For the safety, it may be necessary to select some pipes in terms of condition monitoring and to measure the change in thickness of pipes in real time. Direct current potential drop (DCPD) method has advantages in on-line monitoring of pipe wall thinning. However, it has a disadvantage in that it is difficult to quantify thinning due to various thinning shapes and thus there is a limitation in application. The machine learning approach has advantages in that it can be easily applied because the machine can learn the signals of various thinning shapes and can identify the thinning using these. In this paper, finite element analysis (FEA) was performed by applying direct current to a carbon steel pipe and measuring the potential drop. The fundamental machine learning was carried out and the piping thinning model was developed. In this process, the features of DCPD to thinning were proposed.