• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1219-1226
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• 2017

In this paper, it is performed the optimal design of the UV LED bar which can be used variously. The UV LED Bar emits ultraviolet rays, so it is important to emit ultraviolet rays constantly for the purpose of use. In order to emit a certain amount of ultraviolet rays as ever, the ultraviolet ray emission should be driven by a constant current source within the operable input voltage range. And also the heat dissipation is particularly important because of the long ultraviolet emission retention time due to the UV utilization characteristics. In addition, since human body protection is essential, the algorithm is configured to operate according to human body detection using distance sensor and Bluetooth. Three 365nm UV LEDs were used in series to emit ultraviolet UVA, operating at the constant current of 500mA with an efficiency of 87.5% and a power consumption of 6.006W. The ultraviolet radiation dose was measured at $5.35mW/cm^2$ at the distance of 10 cm when measured by the Lutron ultraviolet measuring instruments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.4C
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• pp.329-337
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• 2012

Capsule Endoscope(CE) is a capsule-shaped electronic device which can examine the lesions in digestive tract of human body. Recently the medical procedure using capsule endoscope is receiving great attention to both doctors and patients, since the conventional push-typed endoscope using cables brings great pain and fear to the patients. The technique was firstly available in 2000 and is based on a convergence techniques among BT(Bio Technology), IT(Information Technology), and NT(Nano Technology). The device consists of an optical parts including LEDs(Light Emitting Diodes), an image sensor, a communication module and a power module. Capsule endoscope is the embodiment of the state-of-the art technology and requires key technologies in the various engineering fields. Therefore, in this paper, we introduce the composition of the capsule endoscope system, and compare the communication method between RF(Radio Frequency) communication and HBC(Human Body Communication), which are typically used for data transmission in the capsule endoscope. Furthermore, we analyze the specification of commercialized capsule endoscopes and present the future developments and technical challenges.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.149-154
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• 2015

Biometric techniques for authentication using body parts such as a fingerprint, face, iris, voice, finger-vein and also photoplethysmography have become increasingly important in the personal security field, including door access control, finance security, electronic passport, and mobile device. Finger-vein images are now used to human identification, however, difficulties in recognizing finger-vein images are caused by capturing under various conditions, such as different temperatures and illumination, and noise in the acquisition camera. The human photoplethysmography is also important signal for human identification. In this paper To increase the recognition rate, we develop camera based identification method by combining finger vein image and photoplethysmography signal. We use a compact CMOS camera with a penetrating infrared LED light source to acquire images of finger vein and photoplethysmography signal. In addition, we suggest a simple pattern matching method to reduce the calculation time for embedded environments. The experimental results show that our simple system has good results in terms of speed and accuracy for personal identification compared to the result of only finger vein images.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.981-986
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• 2011

In this paper, the module for measuring SpO2 and PPG(Photo Plethysmo Graphy) signal of human body and the module for wireless communication of these bio-signals to PC were developed. The program was developed to display transmitted SpO2 and PPG signal by various type data and graph without information loss during a emergency transfer. This system can be utilized as appropriate for remote medical care and a new market is expected, to be created according to revision of medical law.

• Korean Journal of Human Ecology
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• v.11 no.4
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• pp.321-334
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• 2002

This study is a non-structured developmental art-therapy case study having done 134 times of total treatments for a 12 years old girl, having extremely poor verbal communication ability and sociality comparing to her ability in perception and motion. I presumed the cause of this gap between perceptibility and the communication ability was a problem related to self-consciousness. To cure the problem, I provided treatment programs designed to use material which can create a stable and reliable environment and can give body experiences such as painting and play-dough. As the treatment programs progressed, I found she had changed gradually to lead the game by herself and to express her favorite colors and shapes. Also she became to be able to express her experience as a simple word and to response short answers for questions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.209-214
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• 2013

If a human is taken with a disease, the electric resistance of the diseased part is higher than the surrounding area. The inherent current of the human body does not flow well in the diseased part due to high electric resistance. In this paper, we simulated the process to calculate the exact time of electronic acupuncture suitable for patient's physical condition using fuzzy logic and inference. Moreover, In this paper, It utilizes fuzzy logic and fuzzy inference rule to estimate the proper treatment duration for each patient. Physical condition, related disease, and age effects are studied for electronic acupuncture.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.8
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• pp.1961-1972
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• 2014

Recently, with the increasing of the interest in the integration of medical technology and information communication technology, researches on WBAN (Wireless Body Area Networks) that try to apply sensor network to the human body have been processed actively. The existing sensor network technology has the potential to be used in WBAN, but it has some limitations also. In particular, because the sensors are likely to communicate through each part of the body, it has a very different network environment from the sensor network that uses a free space. Therefore, researches on WBAN have a variety area of study that slightly different from the conventional sensor networks and take into account the characteristics of the body. In this study, we investigate the environmental characteristics of WBAN that are separated from the conventional sensor network, and the research trends of WBAN systematically by using the technique of SLR (Systematic Literature Review) from 2001 around when the concept of WBAN has been introduced. The investigation includes the classification of research and the researcher's features. And the survey results and the outlook for further study are summarized.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.63-69
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• 2017

This study is about the development of a smart bed control system to be able to detect the human position and body signal on bed. The main control board in the bed control system consists of the human sensing part, motor driving part and MCU. Here, to increase the credibility to check the human presence on bed, the human sensing part is combined with the human position part by membrane sensor and the body-signal detecting part of EMFI sensor. Also, remotely connecting the two detected signal to the application program of the app mode makes it possible to monitor human information on bed. In this paper, the remote function monitoring of the on-bed human information by bluetooth communication will be abe to make it applicable to the technical prevention method of the bed fall and absence accident in hospital and care facilities.

• Journal of IKEEE
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• v.27 no.3
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• pp.225-233
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• 2023

This paper implements a system that monitors human body lifting information in the event of a marine accident. The monitoring system performs ultrasonic communication through a lifting device controller that transmits underwater environment information, and LoRa communication is performed on the water to provide GPS information within 10 km to the control center or mother ship. The underwater lifting controller transmits pneumatic sensor, gyro sensor, and temperature sensor information. In an environment where the underwater conditions increase by one atmosphere of water pressure every 10m in depth, and the amount of air in the instrument decreases by half compared to land, a model of a 60kg underwater mannequin is used. Using one 38g CO2 cartridge in the lifting appliance SMB(Surface Maker Buoy), carry out a lifting appliance discharge test based on the water level rise conditions within 10 sec. Underwater communication constitutes a data transmission environment using a 2,400-bps ultrasonic sensor from a depth of 40m to 100m. The monitoring signal aims to ensure the safety and safe human structure of the salvage worker by providing water depth, water temperature, and directional angle to rescue workers on the surface of the water.

• Journal of IKEEE
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• v.24 no.1
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• pp.120-126
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• 2020

We present a user recognition method using human body impulse response signals. The body compositions vary from person to person depending on the portion of water, muscle, and fat. In the body communication study, the body has been interpreted circuit models using capacitance and resistances, and its characteristics are determined by the body compositions. Therefore, the individual body channel is unique and can be used for user recognition. In this paper, we applied pseudo impulse signals to the left hand and recorded received signals from the right hand. The empirical mode decomposition (EMD) method removed noise from the received signals and 10 peak values are extracted. We set the differences between peak amplitudes as a key feature to identify individuals. We collected data from 6 subjects and achieved accuracy of 97.71% for the user recognition application.