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( Hyunjun Jung ),( Dongwon Jeong ),( Byung-won On ),( Doo-kwon Baik ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.5
In Wireless Sensor Networks (WSNs) and even in the Internet of Things (IoT) ecosystem, the reconfiguration of sensor variables is an important problem when the role of a system (or application) program`s sensor nodes needs to be adjusted in a particular situation. For example, the outdoor temperature in a volcanic zone, which is usually updated in a system every 10 s, should be updated every 1 s during an emergency situation. To solve this problem, this paper proposes a novel approach based on changing only a set of sensor variables in a part of a program, rather thanmodifying the entire program, in order to reduce both network congestion and the sensor nodes` battery consumption. To validate our approach, we demonstrate an implementation of a proof-of-concept prototype system and also present results of comparative studies showing the performance and effectiveness of our proposed method.
Jung, Hyunjun,Kim, Jintae,Nam, Yoonkey Elsevier 2018 Journal of neuroscience methods Vol.304 No.-
<P><B>Abstract</B></P> <P><B>Background</B></P> <P>Neural responses to electrical stimulation provide valuable information to probe and study the network function. Especially, recording neural responses from the stimulated site provides improved neural interfacing method. However, it is difficult to measure short-delayed responses at the stimulated electrode due to the saturation of the amplifier after stimulation which is called “stimulus artifact”. Despite the advances in handling stimulation artifacts, it is still very challenging to deal with the artifacts if one tries to stimulate and record from the same electrode.</P> <P><B>New method</B></P> <P>In this paper, we developed a system consisting of 24 bit ADC and low gain DC-amplifier which allows us to record the entire responses including saturation-free stimulus artifact and neural responses with excellent resolution.</P> <P><B>Results</B></P> <P>Our approach showed saturation-free recording after stimulation, which makes it possible to recover neural spike as early as in 2 ms at the stimulating electrode with digital elimination methods.</P> <P><B>Comparison with Existing methods</B></P> <P>With our system we could record neural signals after stimulation that was difficult with high gain and high pass filtered recording system due to amplifier saturation.</P> <P><B>Conclusions</B></P> <P>Our new system can enhance interface performance with its higher robustness and with simple system configuration.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A low gain (10x) DC neural recording with 24-bit ADC was proposed for wide-input dynamic range. </LI> <LI> Immediate artifact recovery as early as 2 ms after the stimulation from the stimulating electrode. </LI> <LI> Successful demonstration with planar-type microelectrode arrays and primary hippocampal neurons. </LI> </UL> </P>
정현준 ( Jung Hyunjun ),김규선 ( Kim Gyu Seon ),이덕근 ( Lee Deok Keun ),오달수 ( Oh Dal Soo ),이상철 ( Lee Sang Cheol ) 한국구조물진단유지관리공학회 2009 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.13 No.1
This paper provides a carbonation prediction model, based on the Fick's 2nd law of diffusion. The model considers important parameters such as the chemical composition of cement and atmospheric CO2 concentration, W/C ratio, the degree of hydration. In this study, carbonation prediction model is developed by using a bayesian approach. The proposed model ie very useful in designing concrete structures and can predict the remaining service life of existing concrete structures which have been monitored.
정현준(Hyunjun JUNG),이인형(In Hyoung RHEE),김영인(Young In Kim) 한국산학기술학회 2014 한국산학기술학회 학술대회 Vol.2014 No.2
원자력발전소 2차 계통은 물/증기 순환 계통으로 계통재질의 부식을 억제하기 위해 아민을 이용하여 계통수의 pH를 약염기성 상태로 유지하고 탈산소 및 환원성 분위기를 형성하고 있다. 아민은 유기화합물로 열분해 반응, 산화분해 반응 및 촉매분해 반응 등에 의해 다른 아민 및 유기산으로 전환되며, 생성된 유기산은 물보다 상대휘발도가 낮아 증기발생기 내부에 농축되어 양이온 전도도 증가 및 pH 저하를 초래한다. 따라서 본 연구에서는 원자력발전소 증기발생기 운전조건에서 pH 제어제인 에탄올아민의 열분해 특성을 평가하였다.
현이론을 이용한 사장교의 케이블 종류별 장력추정 결과 비교연구
정현준 ( Jung Hyunjun ),김규선 ( Kim Gyu Seon ),이덕근 ( Lee Deok Keun ),오달수 ( Oh Dal Soo ),이상철 ( Lee Sang Cheol ) 한국구조물진단유지관리공학회 2010 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.14 No.1
The management of the cable tension of cable-stayed bridges is one of the most important jobs for long-term maintenance works. The cable tension is usually estimated by the string vibration theory with the natural frequency extracted from the field monitoring acceleration data of the cables. The estimation of the cable tensions is often affected with the bending stiffness, sag, effective length of cables. Also, in the case of the multi-strand stay cable (MS type), it should be considered that the empty space between the strand bundle and the protecting HDPE duct can affect the acceleration of cables when the accelerometer is installed just on the HDPE duct. From this reason, the exact acceleration data of cables could not be obtained. Therefore, the cable tension estimated from the acceleration of the HDPE duct may contains large errors. In this study, the calculated cable tension is compared according to cable types as a preliminary study on the reliability analysis of the method for estimation cable tension.
정현준(Hyunjun JUNG),이인형(In Hyoung RHEE),김영인(Young In Kim) 한국산학기술학회 2014 한국산학기술학회 학술대회 Vol.2014 No.2
원자력발전소 냉각 계통의 재질은 수화학 조건, heat flux 및 응력 등의 의해 부식이 발생하며, 재질의 부식은 계통의 건전성을 훼손하고 부식생성물을 생성하여 방사선량의 증가를 초래한다. 냉각 계통은 재질의 부식을 억제하기 위해 붕산, 수산화리듐 및 수소를 이용하여 계통수의 pH를 중성 상태로 유지하고 환원성 분위기를 형성하고 있다. 본 연구에서는 다양한 수화학 환경에서 stainless steel의 electrode corrosion potential(ECP)와 부식생성물의 농도를 분석하여 재질의 부식 거동을 평가하였다.