• 전자공학회지
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• 제31권1호
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• pp.58-72
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• 2004

Smart sensors and biochip technologies have received a great deal of attention in recent years not only because of the enormous potential markets in the healthcare expenditures but more importantly because of its great impact on the quality of human life in the future. Collaborative research among BT (Bio Technologies), IT (Information Technologies) and NT (Nano Technologies) will bring us a new paradigm of the healthcare services. Examples include disease prediction based on the genetic tests, personal medicines, point-of-care analysis, rapid and sensitive infectious disease diagnostics, environmental monitoring for chemical or biological warfares, intelligent drug delivery systems etc. In this report, recent accomplishment in the research area on biosensors, DNA chips, Protein Chips and Lab-on-a-chips are reviewed.

• 한국재료학회:학술대회논문집
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• 한국재료학회 2011년도 추계학술발표대회
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• pp.1.2-1.2
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• 2011

Electrohydrodynamics is a good approach to produce uniform-sized colloids and fibers in a continuous process. The dimension can be controlled from tens of nanometers to a few micrometers. The structure of the colloids and nanofibers from electrohydrodynamics has been diversified according to the uses. Especially, core-shell structure and hybridization with functional nanomaterials are fascinating due to their possible uses in drug-delivery systems, multifunctional scaffolds, organic/inorganic hybrids with new functions, and highly sensitive gas- or bio-sensors. This talk will present the structural variations in the colloids and fibers by simply employing phase separation during electrohydrodynamic process and demonstrate their possible applications.

• Progress in Superconductivity
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• 제9권1호
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• pp.45-49
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• 2007

We have investigated the optimum combination of the environmental noise condition and type of SQUID pickup coil in order to obtain maximum signal-to-noise ratio (SNR). The measurement probe consists of 1st order gradiometer with pickup coils of 100 mm, 70 mm, and 50 mm baseline length, a 2nd order gradiometer with 50 mm baseline, and a magnetometer. The pickup coils are fabricated by winding Nb wire on a bobbin with 200 mm diameter. Noise and heart signal of a healthy male were measured by various SQUID sensors with different types of pickup coils in various magnetically shielded rooms (MSR), and compared to each other. The shielding factors were found to be 43 dB, 35 dB and 25 dB at 0.1 Hz for MSR-AS, MSR-BS, MSR-CS, respectively. White noises were $3.5\;fT/Hz^{1/2}$, $4.5\;fT/Hz^{1/2}$ and $3\;fT/Hz^{1/2}$ for the 1st order gradiometers, the 2nd order gradiometers, and magnetometer for all MSRs. SNR of the magnetometer was up to 56 dB in MSR-AS, while the 1st order axial gradiometer with 70 mm baseline length was up to 54 dB in MSR-BS. The 2nd order axial gradiometer with 50 mm baseline length of pickup coil was found to be up to 40 dB in MSR-CS.

• 한국인터넷방송통신학회논문지
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• 제22권2호
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• pp.129-134
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• 2022

버섯형 이중 격자 구조의 공진 바이오센서가 TE 편광 하의 근적외선 (NIR) 파장 범위에서 동작하도록 설계되었다. 정확한 MTLT (modal transmission-line theory)를 적용하여 광학적 특성을 결정하고, 격자 구조의 기하학적 매개변수를 변경하여 격자 구조의 반사 공진을 분석하였다. 수치 해석적 분석 결과, 단일층 격자 구조에서는 발생하지 않는 여기된 날카로운 Fano 공명 (FR)이 발생하였다. 설계된 구조에서 FR의 발생을 입증하기 위하여 이중 격자의 구조 매개변수와 반사 스펙트럼 사이의 관계를 자세하게 조사하였다. 제안된 구조를 기반으로 잠재적 감도가 112.9~214.3 deg/RIU, 그리고 447 nm/RIU인 광 바이오센서가 설계되었다. 제안된 버섯형 구조는 광범위한 응용 분야를 가진 광바이오센서 설계에 대한 좋은 표본으로 이용할 수 있다.

• 대한의용생체공학회:의공학회지
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• 제44권4호
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• pp.255-263
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• 2023

Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.

• Journal of Biosystems Engineering
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• 제42권2호
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• pp.117-125
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• 2017

Purpose: Damage to pulse crops by wild birds is a serious problem. The damage is to such an extent that the rate of damage during the period between seeding and cotyledon stages reaches 54.6% on an average. In this study, a crop-position detection method was developed wherein infrared (IR) sensors were used to determine the cotyledon position under a vinyl mulch. Methods: IR sensors that helped measure the temperature were used to locate the cotyledons below the vinyl mulch. A single IR sensor module was installed at three locations of the crops (peanut, red lettuce, and crown daisy) in the cotyledon stage. The representative thermal response of a $16{\times}4$ pixel area was detected using this sensor in the case where the distance from the target was 25 cm. A spatial image was applied to the two-dimensional temperature distribution using a non-integral moving-average method. The collected data were first processed by taking the moving average via interpolation to determine the frame where the variance was the lowest for a resolution unit of 1.02 cm. Results: The temperature distribution was plotted corresponding to a distance of 10 cm between the crops. A clear leaf pattern of the crop was visually confirmed. However, the temperature distribution after the normalization was unclear. The image conversion and frequency-conversion graphs were obtained based on the moving average by averaging the points corresponding to a frequency of 40 Hz for 8 pixels. The most optimized resolutions at locations 1, 2, and 3 were found on 3.4, 4.1, and 5.6 Pixels, respectively. Conclusions: In this study, to solve the problem of damage caused by birds to crops in the cotyledon stage after seeding, the vinyl mulch is punched after seeding. The crops in the cotyledon stage could be accurately located using the proposed method. By conducting the experiments using the single IR sensor and a sliding mechanical device with the help of a non-integral interpolation method, the crops in the cotyledon stage could be precisely located.

• 한국통신학회논문지
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• 제36권12B호
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• pp.1708-1721
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• 2011

최근 구제역과 같은 가축질병으로 인한 살 처분된 가축매몰지의 적절한 모니터링 시스템의 필요성이 대두되고 있다. 그러나 현재 사용되는 모니터링 시스템은 살 처분된 매몰지 현장에서의 시료를 채취한 후 1~2주간의 모니터링 기간을 필요로 함으로 실시간 감시가 필요로 하는 매몰지에 대한 연속측정이 불가능하다. 이에 본 논문에서는 이런 실시간 모니터링을 가능하게 하는 우선 센서네트워크 기반의 가축매몰지 환경정보 모니터링 시스템 설계 및 구현을 제안한다. 제안된 시스템의 무선 센서노드는 환경센서(Dust, Co2, NH3, H2s, Temperature, Humidity)와 위치확인을 위한 GPS센서로 구성된다. 제안된 시스템은 게이트웨이를 통해 원격지 서버에 전송된 매몰지 환경정보를 분석함으로 언제 어디에서나 유해환경 모니터링이 기능하고 위치확인을 통한 상황에 따른 능동적인 대응을 가능케한다. 따라서 제안된 시스템의 유효성 검증을 위해 규정된 가스 배출관에 센서를 설치하였고, 통합 모니터링이 가능한 테스트 베드에서 실시간으로 수신된 데이터를 수집, 분석하여 시간의 변화에 따른 매몰지 위치의 악취환경변화를 모니터링 하였다. 이를 통한 상황에 따른 실시간 대응을 함으로 유사시 환경오염의 사전예방이 가능 한 것을 확인할 수 있었다.

• 대한의용생체공학회:의공학회지
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• 제40권1호
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• pp.32-37
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• 2019

In this study, we designed a blending algorithm for rate adaptive pacing for cardiac pacemaker. Generally, rate adaptive pacing (RAP) is applied to patients whose heart rate does not rise during exercise for chronotropic incompetence (CI) patient. It is very important to develop an algorithm for RAP that can be properly applied to CI patients. In order to design an RAP algorithm we used dual sensors. Firstly, we designed a bio-signal measurement system based on the dual sensors, which are accelerometer and respiratory system. Secondly, we conducted treadmill test for the simulation experiment while using 3-lead ECG as reference. Finally, we designed a blending algorithm based on activation state of the dual sensors. The proposed blending algorithm was subdivided into three sections based on the accelerometer signal, which are rapidly increased section (W1), hardly changed section (W2), and decreased section (W3). Each weight is set aside for each section. To evaluate this algorithm, ten healthy adult males were participated. The correlation and Root Mean Square Error between the proposed algorithm and the reference were compared, and shown to be r=0.88 and 2.82 bpm, respectively. These results show that the proposed blending algorithm of dual sensors enables proper tracking of the heart rate during exercise. Also, it shows the possibility that the proposed blending algorithm can be applied to improve quality of life of the chronotropic incompetence patient.

• Journal of Biosystems Engineering
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• 제43권4호
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• pp.426-439
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• 2018

Purpose: To continuously monitor soil and climatic properties, a data acquisition system (DAQ) was developed and tested in plum farms (Gyewol-ri and Haechang-ri, Suncheon, Korea). Methods: The DAQ consisted of a Raspberry-Pi processor, a modem, and an ADC board with multiple sensors (soil moisture content (SEN0193), soil temperature (DS18B20), climatic temperature and humidity (DHT22), and rainfall gauge (TR-525M)). In the laboratory, various tests were conducted to calibrate SEN0193 at different soil moistures, soil temperatures, depths, and bulk densities. For performance comparison of the SEN0193 sensor, two commercial moisture sensors (SMS-BTA and WT-1000B) were tested in the field. The collected field data in Raspberry-Pi were transmitted and stored on a web server database through a commercial communications wireless network. Results: In laboratory tests, it was found that the SEN0193 sensor voltage reading increased significantly with an increase in soil bulk density. A linear calibration equation was developed between voltage and soil moisture content depending on the farm soil bulk density. In field tests, the SEN0193 sensor showed linearity (R = 0.76 and 0.73) between output voltage and moisture content; however, the other two sensors showed no linearity, indicating that site-specific calibration is important for accurate sensing. In the long-term monitoring results, it was observed that the measured climate temperature was almost the same as website information. Soil temperature information was higher than the values measured by DS18B20 during spring and summer. However, the local rainfall measured using TR 525M was significantly different from the values on the website. Conclusion: Based on the test results obtained using the developed monitoring system, it is thought that the measurement of various parameters using one device would be helpful in monitoring plum growth. Field data from the local farm monitoring system can be coupled with website information from the weather station and used more efficiently.

• 생물환경조절학회지
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• 제22권4호
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• pp.303-308
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• 2013

배나무 방제용 무인살포시스템 개발을 위하여 생력화를 위한 작업기기를 설계하였다. 또한, 노즐의 분무유형을 실험적으로 분석하여 적정 살포를 위한 노즐 각도, 노즐과의 거리, 수평방향 살포시 거리를 선정하였다. 본 연구를 수행하기 위하여 배의 과수 형태와 재배 환경을 사전 조사하였다. 살포시스템의 살포진행방향에 적합한 분사 노즐각도를 선정하였다. 배나무와 살포시스템 간의 수직거리에 따라 달라지는 살포 정도를 비교하기 위하여 노즐과의 높이에 따른 분포도를 측정하였다. 배나무와 살포 시스템과의 적정 측면 거리를 선정하기 위하여 측면 살포시 거리에 따라 달라지는 분무량을 측정하였다. 무인살포시스템의 약대는 배의 식재 간격에 적합하도록 좌우가 동일한 형태로 2.5m까지 펼쳐지도록 설계 및 제작 하였다. 또한 일정하지 않은 배나무의 높이에 따라 약대의 높이가 1.7m까지 조절되도록 하였다. 본 시스템에 적합한 노즐 각도는 $15^{\circ}$로 나타났다. 배나무와 살포시스템과의 수직거리는 0.7m에서 0.9m의 간격을 유지하여 약제를 살포해야 된다는 것을 알 수 있었다. 수평방향으로 살포하는 경우 좌우 -0.9m에서 0.9m까지의 분무량이 가장 많았다. 약대와의 거리가 0.9m에서 2.1m일 때 가장 많은 분무량을 나타냈다. 실험을 통하여 배 과수원에서의 무인살포시스템에 맞는 분무 환경을 확인 할 수 있었다. 배 과수와의 거리에 따라 적정 거리를 유지하는 시스템을 개발함으로써 효율적인 약액 살포가 가능하게 하였다. 하지만 본 연구에서 진행된 실험은 제한된 실내 환경에서 진행된 것이기 때문에 제작된 시스템의 실제 과수원 환경에서의 실험이 필요하다.