• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2451-2456
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• 2003

In biological cell manipulation, manual thrust or penetration of an injection pipette into an egg is currently performed by a skilled operator, relying only on visual feedback information. Massive load of various micro injection of either genes, fluid or cells in the postgenomic era calls a more reliable and automatic micro injection system that can test hundreds of genes or cell types at a single experiment. We initiated to study cellular force sensing in zebrafish eggs as the first step for the development of a more controllable micro injection system by any inexperienced operator. Zebrafish eggs at different developmental stages were collected and an integrated biomanipulation system was employed to measure cellular force during penetrating the egg envelope, the chorion. First of all, the biomanipulation system integrated with cellular force sensing instrument is implemented to measure the penetration force of cell membranes and characterize mechanical properties of zebrafish embryo cells. Furthermore, implementation of cellular force sensing system and calibration are presented. Finally, the cellular force sensing of penetrating cell membranes at each developmental stages was experimentally performed. The results demonstrated that the biomanipulation system with force sensing capability can measure cellular force at real-time while the injection operation is undergoing. The magnitude of the measured force was in the range of several hundreds of uN. The precise real-time measurement should provide the first step forwards for the development of an automatic and reliable injection system of various materials into biological cells.

• 센서학회지
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• 제26권1호
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• pp.50-55
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• 2017

The measurement of absolute humidity of gases is essential in many industries. The effect of temperature on aluminum oxide and chilled mirror dew-point hygrometers is investigated. The temperature of laboratory, pipe line, and sensor is varied and the dew point is measured by two different aluminum oxide hygrometers. In all cases, the dew point of hygrometers is increased as the temperature is elevated. The reason behind this observation is due to desorption of water from the inside of pipe line and/or sensor surroundings at elevated temperature that result in the increase of the absolute humidity. Moreover, the sensor itself shows a certain degree of temperature dependency in sensing the humidity especially at low temperature. It is also studied that chilled mirror dew-point hygrometer may indicate a higher dew point than the reference at high temperature because the cooling capability of mirror is decreased at high temperature. Our study will provide evidences in the incorporation of the temperature effect as uncertainty factors in the standard calibration procedure for dew point hygrometers.

• 한국항공우주학회지
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• 제40권1호
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• pp.49-60
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• 2012

합성 개구면 레이다(SAR: synthetic aperture radar)는 날씨 및 주 야간에 관계없이 고해상도의 영상을 형성할 수 있기 때문에 다양한 분야에서 활용되고 있다. 본 논문에서는 고해상도 SAR 설계시 경사거리와 합성개구면의 길이가 영상형성에 미치는 영향을 RMA 시뮬레이터를 이용하여 성능분석을 수행하였다. 형성된 영상의 성능은 직접 육안으로 확인할 수 있었으나, 영상을 분석하는 수치로서도 성능평가가 가능하였다. 보다 구체적으로, 다양한 경사거리와 합성개구면의 길이 변화와 영상획득을 위한 기하구조에 따라 이상적인 점표적에 대한 시뮬레이션의 원시 데이터를 생성하였고, Spotlight 영상 형성 알고리듬을 이용하여 이에 따른 점표적 응답특성의 공간 해상도, 최대 부엽 수준, 누적 부엽 수준에 대한 성능분석을 수행하였다.

• Journal of Biosystems Engineering
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• 제32권6호
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• pp.440-447
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• 2007

In this study, a biosensor was developed using an enzyme-linked immunosorbent assay (ELISA) to rapidly measure the fungicide iprovalicarb residues in agricultural products. The biosensor was designed to include micro-pumps and solenoid valves for fluid transport, a spectrophotometer cuvet as a reaction chamber, a photodiode with a light-emitting diode for optical density measurement, and a control microcomputer to implement assay. The rate of change in optical density of the cuvet was read as final signal output. Micro-pumps were evaluated to investigate their delivery capability, the highest values of the error and the coefficient of variation were 4.3% and 4.6% respectively. As the incubation period was reduced from 15 minutes to 11 minutes to shorten the total processing time, the sensor sensitivity was decreased as the antibody dilution ratio was reduced to a half. The maximum usable period of the coated cuvet was found to be two days with 1% error limit. To predict the concentration of the iprovalicarb residue in agricultural products, a linear calibration model was obtained with r-square values of 0.992 for potato and 0.985 for onion. In validation test for the samples of potatoes and onions against the high performance liquid chromatography, very high correlation values were obtained as 0.996 and 0.993 respectively. Using the cuvet immobilized with antigen, it took 21-minutes for the biosensor to complete the measuring process of the iprovalicarb residues.

• 비파괴검사학회지
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• 제36권3호
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• pp.225-230
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• 2016

광섬유 브래그 격자센서(FBG)는 다중화가 용이하고 절대측정이 가능한 고유의 장점으로 다양한 구조물의 구조건전성 모니터링(SHM)에 활용도를 넓혀가고 있다. 하지만, 구조건전성 모니터링을 위해 FBG 센서를 온도 변화 환경에서 장기간 사용할 경우 FBG 센서는 계절적 요인에 의한 큰 폭의 주기적 온도 변화 환경에 노출되므로 센서의 신뢰성 확보를 위해 신호 특성에 대한 검토가 필요하다. 본 연구에서는 패키징된 FBG 센서의 제작에 많이 활용되는 각각 2가지의 모재 및 접착제를 대상으로 시편을 제작한 후 항온항습기 내에서 -$20^{\circ}C{\sim}60^{\circ}C$의 온도 조건에서 300사이클의 반복 열하중시험을 수행하였다. 시험 결과, FBG 센서에 주기적인 반복 열하중이 가해질 경우 일정량의 압축변형이 작용하며 이는 센서로 사용 시 측정 오차로 작용하므로 장기 구조건전성 모니터링을 위해 FBG 센서의 사용 전 안정화 과정을 통한 사전보정이 필요함을 확인하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1523-1523
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• 2001

The wine industry requires practical methods for objectively measuring the composition of both red wine grapes on the vine to determine optimal harvest time; and of freshly harvested grapes for efficient allocation to vinery process streams for particular red wine products, and to determine payment of contract grapegrowers. To be practical for industry application these methods must be rapid, inexpensive and accurate. In most cases this restricts the analyses available to measurement of TSS (total soluble solids, predominantly sugars) by refractometry and pH by electropotentiometry. These two parameters, however, do not provide a comprehensive compositional characterization for the purpose of winemaking. The concentration of anthocyanin pigment in red wine grapes is an accepted indicator of potential wine quality and price. However, routine analysis for total anthocyanins is not considered as a practical option by the wider wine industry because of the high cost and slow turnaround time of this multi-step wet chemical laboratory analysis. Recent work by this ${group}^{l,2}$ has established the capability of near infrared (NIR) spectroscopy to provide rapid, accurate and simultaneous measurement of total anthocyanins, TSS and pH in red wine grapes. The analyses may be carried out equally well using either research grade scanning spectrometers or much simpler reduced spectral range portable diode-array based instrumentation. We have recently expanded on this work by collecting thousands of red wine grape samples in Australia. The sample set spans two vintages (1999 and 2000), five distinct geographical winegrowing regions and three main red wine grape varieties used in Australia (Cabernet Sauvignon, Shiraz and Merlot). Homogenized grape samples were scanned in diffuse reflectance mode on a FOSE NIR Systems6500 spectrometer and subject to laboratory analysis by the traditional methods for total anthocyanins, TSS and pH. We report here an analysis of the correlations between the NIR spectra and the laboratory data using standard chemometric algorithms within The Unscrambler software package. In particular, various subsets of the total data set are considered in turn to elucidate the effects of vintage, geographical area and grape variety on the measurement of grape composition by NIR spectroscopy. The relative ability of discrete calibrations to predict within and across these differences is considered. The results are then used to propose an optimal calibration strategy for red wine grape analysis.

• 한국방사선학회논문지
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• 제8권6호
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• pp.293-299
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• 2014

Compton suppression 장치는 Compton 산란 반응을 이용하여, 스펙트럼의 Compton continuum 부분을 억제함으로써 Compton continuum 영역 내에서의 감마선 피크들의 분석을 보다 명확하게 할 수 있게 해주는 장치이다. 표층토양 시료에서 검출된 인공 방사능인 $^{137}Cs$과 자연 방사능인 $^{40}K$핵종의 방사능 농도 값들에 대한 방사능 계수치가 백그라운드를 상회하는 측정값이 발생되거나, 불필요한 방해피크나 비해석 대상 피크에 대하여 검출된 표준선원의 방사능 농도 값들의 실측치에 대한 background를 비억제 스펙트럼(Compton Unsuppression)과 억제 스펙트럼(Compton suppression)을 적용시켜 측정 에너지에 대한 교정을 알고자 점선원인 $^{137}Cs$을 거리별에 따라 측정하여, 몬테칼로 시뮬레이션과 비교 분석함으로서 효율적인 검출 능력을 얻고자 함이며, Compton 억제 인자를 보면 거리가 멀어짐에 따라 CSF 값이 클수록 더 많은 Compton suppression가 이루어졌음을 알 수 있고, $^{137}Cs$을 이용한 컴프턴 비억제 모드와 억제모드로 측정된 스펙트럼에서 컴프턴 연속에 의한 백그라운드가 감소함을 알 수 있었다.

• 한국산학기술학회논문지
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• 제10권12호
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• pp.3600-3607
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• 2009

본 논문에서는 300~3800MHz 주파수 대역에서 150mW~150W의 평균전력과 피크 전력을 검출할 수 있는 무선전력 검출센서의 개발에 대하여 기술하고 있다. 제안된 무선전력 센서는 기본적으로 전력의 크기를 검출하는 기능 외에 입력 신호의 주파수를 알아낼 수 있는 기능과 VSWR 측정 기능을 가지고 있다. 본 논문의 검출 센서는 듀얼 방향성 결합기의 설계, 입력 전력을 검출하여 DC 데이터로 분석할 수 있는 전력 검출부의 설계, 정확한 캘리브레이션 데이터 추출 방법 등의 세부 과정을 통하여 개발이 완성된다. 개발된 듀얼 방향성 결합기는 300~3800MHz 대역에서 0.085dB의 삽입손실과 3.8GHz에서 최소 30dB의 directivity 성능을 가지고 있다. 개발된 무선전력 센서는 주파수 결정능력과 함께 순방향 입력전력의 크기를 0.25dB 이내의 오차로 분석할 수 있고, 300~3800MHz의 주파수에서 150W의 고출력 동작에서도 1.17~1.96의 VSWR을 측정할 수 있는 성능을 지닌다.

• 생물환경조절학회지
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• 제24권1호
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• pp.39-44
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• 2015

무토양재배에서 작물의 생산성 향상을 위하여 최적의 수분관리가 중요하기 때문에, 배지의 종류에 따른 수분 이동을 포함한 배지의 물리적 특성의 분석이 필요하다. 본 연구의 목적은 현재 상업적으로 많이 이용되고 있는 대표적인 배지를 대상으로 물리적 특성을 분석하고 수분의 이동 형태 및 함수율과 FDR 센서 측정값과의 관계를 파악하는 것이다. 로드셀을 이용하여 배지의 중량을 측정하고, 이 데이터를 바탕으로 배지의 기본적인 물리적 특성을 파악하고자 하였다. 중량에 따른 실제 함수율과 FDR 센서값의 비교를 통해 배지 종류에 따른 FDR의 정확성을 비교하였다. 암면에 비하여 코이어 배지는 입자가 크고 거친 특성 때문에 전체적으로 보수력이 낮았다. 중량 기준의 동일 함수율 조건에서 FDR센서 측정값은 코이어에서 큰 오차를 보였으므로 FDR센서 사용전 보정이 필요하다. 그리고 코이어의 낮은 보수력과 재수화력 때문에 관수제어에 적합한 함수율 범위도 암면에 비하여 좁았다. 무토양재배에서 최적 관수제어를 위한 관수전략 수립에 실험을 통한 위와 같은 데이터가 유용하게 이용될 수 있을 것으로 기대된다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1031-1031
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• 2001

The mammary gland is made up of remarkably sensitive tissue, which has the capability of producing a large volume of secretion, milk, under normal or healthy conditions. When bacteria enter the gland and establish an infection (mastitis), inflammation is initiated accompanied by an influx of white cells from the blood stream, by altered secretory function, and changes in the volume and composition of secretion. Cell numbers in milk are closely associated with inflammation and udder health. These somatic cell counts (SCC) are accepted as the international standard measurement of milk quality in dairy and for mastitis diagnosis. NIR Spectra of unhomogenized composite milk samples from 14 cows (healthy and mastitic), 7days after parturition and during the next 30 days of lactation were measured. Different multivariate analysis techniques were used to diagnose the disease at very early stage and determine how the spectral properties of milk vary with its composition and animal health. PLS model for prediction of somatic cell count (SCC) based on NIR milk spectra was made. The best accuracy of determination for the 1100-2500nm range was found using smoothed absorbance data and 10 PLS factors. The standard error of prediction for independent validation set of samples was 0.382, correlation coefficient 0.854 and the variation coefficient 7.63%. It has been found that SCC determination by NIR milk spectra was indirect and based on the related changes in milk composition. From the spectral changes, we learned that when mastitis occurred, the most significant factors that simultaneously influenced milk spectra were alteration of milk proteins and changes in ionic concentration of milk. It was consistent with the results we obtained further when applied 2DCOS. Two-dimensional correlation analysis of NIR milk spectra was done to assess the changes in milk composition, which occur when somatic cell count (SCC) levels vary. The synchronous correlation map revealed that when SCC increases, protein levels increase while water and lactose levels decrease. Results from the analysis of the asynchronous plot indicated that changes in water and fat absorptions occur before other milk components. In addition, the technique was used to assess the changes in milk during a period when SCC levels do not vary appreciably. Results indicated that milk components are in equilibrium and no appreciable change in a given component was seen with respect to another. This was found in both healthy and mastitic animals. However, milk components were found to vary with SCC content regardless of the range considered. This important finding demonstrates that 2-D correlation analysis may be used to track even subtle changes in milk composition in individual cows. To find out the right threshold for SCC when used for mastitis diagnosis at cow level, classification of milk samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two levels of SCC - 200 000 cells/$m\ell$ and 300 000 cells/$m\ell$, respectively, were set up and compared as thresholds to discriminate between healthy and mastitic cows. The best detection accuracy was found with 200 000 cells/$m\ell$ as threshold for mastitis and smoothed absorbance data: - 98% of the milk samples in the calibration set and 87% of the samples in the independent test set were correctly classified. When the spectral information was studied it was found that the successful mastitis diagnosis was based on reviling the spectral changes related to the corresponding changes in milk composition. NIRS combined with different ways of spectral data ruining can provide faster and nondestructive alternative to current methods for mastitis diagnosis and a new inside into disease understanding at molecular level.