• Smart Structures and Systems
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• v.11 no.3
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• pp.261-282
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• 2013

Structural health monitoring (SHM) is an application area of Wireless Sensor Networks (WSNs) which usually needs high data communication rate to transfer a large amount of monitoring data. Traditional sink node can only process data from one communication channel at the same time because of the single radio chip structure. The sink node constitutes a bottleneck for constructing a high data rate SHM application giving rise to a long data transfer time. Multi-channel communication has been proved to be an efficient method to improve the data throughput by enabling parallel transmissions among different frequency channels. This paper proposes an 8-radio integrated sink node design method based on Field Programmable Gate Array (FPGA) and the time synchronization mechanism for the multi-channel network based on the proposed sink node. Three experiments have been performed to evaluate the data transfer ability of the developed multi-radio sink node and the performance of the time synchronization mechanism. A high data throughput of 1020Kbps of the developed sink node has been proved by experiments using IEEE.805.15.4.

• Journal of the Korean Society of Propulsion Engineers
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• v.12 no.6
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• pp.7-11
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• 2008

The helicopter flies at low level flight mode in its own operational range comparing to other aircraft categories. The low level flight means that the engine operates at variable atmospheric condition such as hot and cold temperature, snow, heavy rain, etc. Furthermore it may increase the entering possibility of engine foreign object damage particles like sand, dust, etc., i.e. this operating condition gives rise to damages of engine gas path components. An on-line condition monitoring program was developed by using SIMULINK, where measurement signals were simulated as an input module. The reliability and capability of the developed on-line condition monitoring were confirmed through application to a real helicopter engine health monitoring.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.163-166
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• 2008

The helicopter flies at low level flight mode in its own operational range comparing to other aircraft categories. The low level flight means that the engine operates at variable atmospheric condition such as hot and cold temperature, snow, heavy rain, etc. Furthermore it may increase the entering possibility of engine foreign object damage particles like sand, dust, etc., i.e. this operating condition gives rise to damages of engine gas path components. An on-line condition monitoring program was developed by using SIMULINK, where measurement signals were simulated as an input module. The reliability and capability of the developed on-line condition monitoring were confirmed through application to a real helicopter engine health monitoring.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.141-142
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• 2008

According as USN's application field is magnified, various results are appearing. Efforts to apply this results in life are progressing. In car field, is used in control that level of significance is less. In home network, is used in a household electric appli-ance control and electric lamp control, security etc.. In factory, is used in process control, and is used in various application because is involved with RFID leader recently. In this paper, patient's status monitoring, USN use wish to. Because USN can utilize existent network, it is system that can transmit various data as that change passed information.Wish to send information that get in health-care board. Information that can get in health-care board is blood pressure, blood sugar, stroke, SPO2, ECG, the activity amount, position. Also, wish to forecast use possibility to involved various service, silver industry with database.

• Annual Conference of KIPS
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• 2016.10a
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• pp.258-261
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• 2016

환자가 가정에서 네트워크를 통해 자신의 건강정보를 원격지에 위치한 의사에게 전송하여 이에 대한 진단을 받는 원격건강정보 모니터링 시스템에서 환자의 개인건강정보의 보호는 매우 중요한 과제이다. 본 논문에서는 신원기반 프록시 재암호화 기법을 사용하여 환자가 다수의 의사를 선택하여 각 의사들에게 개인건강정보를 전송하여 진단을 받는 환경을 가정하여 환자가 가지는 연산부담을 줄이기 위해 환자의 비밀키로 생성한 암호문을 프록시가 재암호화하여 의사가 가진 비밀키로 복호화 할 수 있도록 하는 기법을 제안한다.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.232-235
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• 1997

Apnea refers to episode of apnea (or not breathing) lasting more than 10 seconds that occur while sleeping. These episodes, whitch can occur hundreds of times per night, may transiently awaken resulting in fragmentation of sleep. Although the precise cause of Sudden Infant Death Syndrome(SIDS) are still unclear, there is evidence to suggest that hypoxaemia may be a contributory actor. Transcutaneous oxygen monitor can be used, but it is very difficult to use or baby stayed at home. In this reason, monitors whitch is easy or deal with are reqiured. In 1972, Steinschieder reported that two of the five infants noted to have apnea lasting or more than 20 seconds later died of SIDS episode, he also suggested that home monitoring or neonates should be used or managing apnea at home. Transthoracic electrical impedance technique is used or acquiring respiration waveform and detecting episode of apnea state. Transthoracic electrical impedance measurements have been made from the human trunk over the frequency range 9.6KHz to 614KHz. We conclude that application of impedance technique or detecting apnea state is proper or neonates.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.202-206
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• 2024

Health Related issues has become a savior diseases as growing rapidly they also causing savior issues if they not cure they lead to even death. Fatal Diseases needed to be controlled at early stages to save the patient lives. The Knowledge related to the disease is also important so that it may be cure as soon as possible and also medicine for the illness is also needed to be supplied immediately so that it can be controlled. Some patients also need a continuous monitoring like aged and someone suffering to some fatal disease .IOT based monitoring system with the application of the Raspberry pi and the usage of the Local Area Network to connect the Doctors, Hospital, and Ambulance service also the pharmacy help to start the treatment of the patient effectively. Also acknowledging the doctors and hospital staff will help to save the life of the patient due to knowledge of the disease. Usage such smart and reliable technology will help to monitor the health condition of the patient at home and also connecting with the doctors through the internet will also acknowledge the doctor about the present condition of the patient. This paper presents the effective use of the smart devices and technology to overcome the disease by using such cost effective technology.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5A
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• pp.421-431
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• 2009

This paper is the study on the verification of structural health monitoring (SHM) algorithm based on the ultrasonic guided wave. An active inspection system using Lamb wave (LW) for SHM was considered. The basic study about the application of this algorithm was performed for detecting the circular notch defect in steel plate. LW testing technique, pitch-catch method, was used for interpretation of circular notch defect with depth of 50% of plate thickness and 7 mm width. Damage characterization takes place by comparing $S_0$ mode sensor signals collected before and after the damage event. By subtracting the signals of both conditions from each other, a scatter signal is produced which can be used for damage localization. The continuous Gabor wavelet transform is used to attain the time between the arrivals of the scatter and sensor signals. A new practical damage monitoring algorithm, based on damage monitoring polygon and pitch-catch method, has been proposed and verified with good accuracy. The possible damage location can be estimated by the average on calculated location points and the damage extent by the standard deviation.

• Korea Journal of Hospital Management
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• v.25 no.1
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• pp.1-12
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• 2020

Purposes: The aim of this study is to evaluate whether the contents of hospital reservation and reception applications(apps) are qualitatively useful in meeting the needs of medical consumers and improving hospital accessibility and convenience. Methodology: (1) identify consumer needs through social data web mining, (2) describe the status of key contents of mobile apps to improve accessibility and convenience of care, and (3) verify the quality of apps through validated tools Finding: The contents of 'mobile reservation function' and 'waiting time information provision' that can contribute to reduction of delay time of care and efficiency of desk work were supported, but the level of utilization was insufficient. The quality level of the app, including the level of consumers' needs, has shown a wide gap between the apps. Implications: The recent development of mobile apps for hospital accessibility and consumer needs has shown a wide gap in the quality of apps, including information and aesthetic. Therefore, it is necessary to develop apps based on user interface(UI), user experience(UX) based designs that can promote the usefulness and convenience of apps while monitoring needs of consumers continuously.

• Nuclear Engineering and Technology
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• v.52 no.10
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• pp.2262-2273
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• 2020

Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.