• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2257-2258
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• 2008

본 논문에서는 최근 자신의 몸과 건강에 대한 관심이 증가함에 따라 WSN과 ZIgbee를 이용하여 언제 어디서나 운동하는 사람(이하 사용자)의 건강상태를 체크할 수 있는 헬스케어시스템을 구현하였다. 구현된 시스템은 사용자를 인식하는 RFID리더기와 운동량을 측정하기 위한 센서그룹과 사용자의 혈압, 심전도, 체온, 맥박 등을 수집하는 바이오센서, 센싱 된 정보를 수집하여 전달하는 게이트웨이, 사용자정보, 수집정보와, 측정정보를 저장하는 헬스케어관리서버 그리고 측정결과를 사용자가 모니터할 수 있는 모니터프로그램으로 구성된다. 구현된 센서노드는 Zigbee 프로토콜을 이용하여 센서네트워크를 구성한다. 그리고 리눅스 기반의 임베디드 시스템을 윈도우 기반에서 사용하기 위해 Cygwin을 이용한다. 수집된 정보는 USN과 WSN 로 실시간으로 전송된다. 이 전송된 결과 값을 헬스케어관리서버에서 저장, 관리하며 긴급 상황 발생 시 모니터를 통해 경보음을 내보내는 동시에, 사용자의 상태를 병원이나 소방서와 같은 응급처리 센터에 전송하도록 설계되었다. 구현결과 Zigbee 프로토콜과 WSN을 이용하여 사용자인식기반의 헬스케어시스템의 구현됨을 확인할 수 있었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.55-58
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• 2012

최근 u-헬스케어 서비스는 바이오센서 및 스마트 의료 기기의 발달과 의료 데이터의 교환 및 처리를 위한 표준 기술 등이 뒷받침 되면서 서비스의 실체화가 가속화되고 있는 추세이다. u-헬스케어는 유 무선 네트워크와 밀접한 연관을 맺고 있으며, 이러한 유 무선 네트워크의 사용은 기존의 서비스에서 발생 가능한 보안상의 취약점 및 공격이 u-헬스케어 환경에서도 유사하게 나타나며, 개인 의료정보를 주로 다루는 만큼 그 위험성은 더욱 심각하다 사료된다. 이에 본 논문에서는 u-헬스케어의 보안 위협 및 그에 따른 향후 대책방안에 대하여 논하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.7
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• pp.573-586
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• 2013

Recently, the research, utilizing bio and environment sensors in agricultural and cattle industries, are drawing attention among the various IT convergence technologies. Among such research IT convergence techniques which aim to improve the quality of cattle industry management are necessary in particular. Real-time monitoring of the cattles health condition, identification of the cause of the diseases and timely response to such epidemic based on IT convergence techniques are among them. In order to achieve the better management of cattle industry, we propose a cattles management system which based on various bio environment sensors and wireless network technologies. The system consists of wireless environmental sensor data acquisition nodes, sensor data processing nodes, the gateway and the server. The proposed system is able to actively monitor the cattle field, to respond quickly in the case of massive cattle diseases and to control the environment of the cattle fields. We believe the proposed system will demonstrate the successful application of IT technologies to an applied field such as farming industries because of real-time crisis management capability in case of epidemic and optimal management of cattle industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.477-481
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• 2007

The emergency patient who occurs from the place where it is various the control which is quick must come to accomplish in Ubiquitous environment. In the body of the patient or the old person the organism signal sensor about under attaching condition of the patient at real-time about under the monitor ring about under disposing the control which is quick against the emergency patient does to become accomplished at the case real-time when the above will get in the body of the patient or the old person. Using ZigBee (802.15.4) system base on Shor wireless communication protocol because of complement wireless of hospital. This system use ZigBee (802.15.4) system to get for electrocardiogram, blood pressure and pulse bio-sensors. This paper constructs Bio-Sensor communication monitoring system and transmission rate and the delay which it follows possibility and node occurrence rate of wireless sensor network construction hour transmission session it leads and it verifies the effectiveness.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.775-776
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• 2006

Ad hoc network does not need any preexisting network infrastructure, and it has been developed as temporal networks in the various fields. Infostation is an efficient system to transfer information which does not have delay sensitive characteristics. In this paper, we propose a disaster emergency management system using sensor attached animals' mobility combined with infostation system. We also analyze the performance of the proposed system. From the performance analysis results, we expect that the proposed system will be very useful to early detect big forest fires which occurs frequently in Korea mountain areas.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.5
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• pp.153-160
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• 2010

We optimized the Si(substrate)/$SiO_2$(cladding)/$Si_3N_4$(antiresonant cladding)/$SiO_2$(core)/air multi-layers rib-optical waveguides of antiresonant reflecting optical waveguide (ARROW) for integrated optical biosensor structure utilizing beam propagation method (BPM). Thickness of anti-resonant cladding was derived to minimize the propagation loss and leaky field mode deeply related with evanescent mode was theoretically derived. Depth, width, refractive index and cladding thickness of anti-resonant cladding were numerically calculated into 2.3${\mu}m$, 5${\mu}m$, 1.488, and 0.11${\mu}m$ respectively to minimize propagation loss using the BPM simulation tool. Finally one- and two-dimensional propagation characteristics of ARROW was confirmed.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.2
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• pp.64-70
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• 2011

Portable artificial electronic nose (E-nose) system suffers from noisy fluctuation in surroundings such as temperature, vapor concentration, and gas flow, because its measuring condition is not controled precisely as in the laboratory. It is important to develop a simple and robust vapor recognition technique applicable to this uncontrolled measurement, especially for the portable measuring and diagnostic system which are expanding its area with the improvements in micro bio sensor technology. This study used a PDA-based portable E-nose to collect the uncontrolled vapor measurement signals, and applied the image matching algorithm developed in the previous study on the measured signal to verify its robustness and improved accuracy in portable vapor recognition. The results showed not only its consistent performance under noisy fluctuation in the portable measurement signal, but also an advanced recognition accuracy for 2 similar vapor species which have been hard to discriminate with the conventional maximum sensitivity feature extraction method. The proposed method can be easily applied to the data processing of the ubiquitous sensor network (USN) which are usually exposed to various operating conditions. Furthermore, it will greatly help to realize portable medical diagnostic and environment monitoring system with its robust performance and high accuracy.