Tin dioxide nanoparticles are prepared using a newly developed synthesis method of plasma-assisted electrolysis. A high voltage is applied to the tin metal plate to apply a high pressure and temperature to the synthesized oxide layer on the metal surface, producing nanoparticles in a low concentration of sulfuric acid. The particle size, morphology, and size distribution is controlled by the concentration of electrolytes and frequency of the power supply. The as-prepared powder of tin dioxide nanoparticles is used to fabricate a gas sensor to investigate the potential application. The particle-based gas sensor exhibits a short response and recovery time. There is sensitivity to the reduction gas for the gas flowing at rates of 50, 250, and 500 ppm of H2S gas.

Polyacrylonitrile/pitch nanofibers were prepared by electrospinning as a precursor for a gas sensor material. Pitch nanofibers were properly fabricated by incorporating polyacrylonitrile as an electrospinning supplement component. Polyacrylonitrile/pitch nanofibers were activated with steam at various temperatures followed by subsequent carbonization to make carbon nanofibers with a highly conductive graphitic structure. Steam activation was effective in facilitating gas adsorption onto the carbon nanofibers due to the increased surface area. The carbon nanofibers activated at 800°C had a larger surface area and a lower micro pore fraction resulting in a higher variation in electrical resistance for improved CO gas sensing properties.

본 연구에서는 E-textile 기반 신축성 센서의 모양과 부착 위치가 동작 센싱 성능에 미치는 영향을 분석하고, 이를 통해 인체 동작 센싱에 가장 적합한 의복 구조 요건을 규명하고자 하였다. 실험 대상 아동에게 센서의 모양과 부착위치에 따라 조작된 실험복을 착의시킨 후 60 deg/sec의 속도로, 60°, 90°, 120°의 동작 각도별로 팔과 다리의 굽힘, 폄 동작 의한 직물 센서의 신장과 수축에 따른 전압의 변화량을 측정하였으며, 가속도 센서를 함께 부착하여 동작의 일치도를 검증하였다. 또한 아동의 모형 팔과 다리를 제작하여 이를 대상으로 동일한 실험을 수행함으로써 인체의 팔, 다리의 동작 실험 결과와 비교하였다. 분석 결과 센서의 모양에서는 모형 대상 실험과 아동 대상 실험 모두에서 보트형의 센서 보다 장방형의 센서가 더 균일하고 안정적인 경향을 보여 재현성과 신뢰성이 높은 것으로 나타났다. 센서의 부착 위치는 모형 대상 실험에서는 팔꿈치와 무릎의 관절부로부터 4 ㎝ 아래 지점에 부착된 경우, 아동 대상실험에서는 팔꿈치와 무릎의 관절부에 위치했을 때 재현성과 신뢰성이 더 높았다. 본 연구에서는 아동의 사지 동작측정에 적합한 센서를 개발하고 동작 센싱에 적합한 센서의 모양과 부착 위치의 조건을 분석하였으며, 의복에 통합된 유연한 직물 센서를 활용하여 인체 부위별 동작 센싱이 가능하다는 것을 규명하였다.

It is necessary to monitor growth status of the crops due to continuous change of climate causing insecurity in crop cultivation. Low altitude remote sensing(LARS) system is utilized to accurately monitor the growth status of the crops. In this study, models for monitoring fresh weight(FW), one of the major growth factors of Chinese cabbage, were developed with structural indices and simple ratio calculated from bands in remotely sensed canopies by NIR, RE(imaging sensor A) and multispec-4c sensors(imaging sensor B) equipped with fixed-wing UAV depending on vegetation stages of normal planting(NP) and delayed planting(DP) Chinese cabbages. In results of imaging sensor A, the estimation models using structural indices and simple ratio were divided into NP and DP due to different attribute of reflectance in canopies with changed environment condition depending on different planting dates. The estimation models using simple ratio calculated by red edge and visible bands of NP showed better performance than other models, but RMSE was high. The models using simple ratio calculated by same bands of DP were feasible to accurately estimate FW(R2 of more than 0.946 with RMSE of less than 169.5 g). In results of imaging sensor B, the estimation models using structural indices and simple ratio on DP were divided into low to intermediate FW and intermediate to high FW. As a result, estimation models of all structural indices and simple ratio in low to intermediate FW bands were advisable to estimate FW(R2 of more than 0.860 with RMSE of less than 104.7 g). Estimation models of those calculated by red edge and visible bands in intermediate to high FW were only possible to accurately estimate FW(R2 of more than 0.532 with RMSE of less than 400.7 g).

최근 도시 내 급격한 기상 변화로 인한 자연재해가 심각한 사회적 문제로 대두되고 있다. 도시의 자연 환경 변화에 대한 효과적인 예측과 대처를 위해서는 신뢰성 있는 기상 자료의 확보가 매우 중요하다. 이러한 맥락에서 본 연구는 도시의 기상 환경 중 기온에 초점을 맞춰, 보다 정확한 기온 추정을 위한 대안적 방법을 제시하였다. 특히, 시공간 해상도와 정확성을 높이기 위해 원격탐사 자료와 지형 기반 공간 보간법을 결합한 기온 추정 방법을 제시하였으며, 기존의 여러 추정 방법들과 비교·평가함으로써 제시된 추정법의 적용가능성을 검토하였다. 분석 결과, 각 추정 기법을 통한 기온 결과는 기온 추정값의 범위에 있어서는 유사한 결과를 보였지만 기온의 공간적 분포 특성은 매우 상이하게 나타났다. 특히, 원격탐사 자료를 활용하여 추정된 기온 분포는 토지피복 유형에 따른 차이를 잘 보여주며, 본 연구에서 제시한 추정 기법의 결과는 고도에 따른 기온차를 보다 뚜렷하게 보여줬다. 추정의 정확도에 있어서는 원격탐사 자료와 지형 기반 공간 보간법을 결합한 기온 추정 기법이 높은 정확도를 보여줬다. 종합적으로 본 연구에서 제시한 기온 추정 기법은 토지피복 유형과 고도에 따른 기온 변화를 잘 나타내는 동시에 원격탐사 자료를 활용한 기존의 기온 추정 기법들에 비해 정확도가 높아 기온 분포도와 같이 연속적 공간의 기온값을 정확하게 표현하는 데 유용하게 활용될 수 있을 것으로 기대된다.

Nanofibers(NFs), because of their high surface area and nanosized grains, have appropriate morphologies for use in chemiresistive-type sensors for gas detection applications. In this study, a highly sensitive and selective CO gas sensing material based on Au-decorated SnO2 NFs was fabricated by electrospinning. SnO2 NFs were synthesized by electrospinning and subsequently decorated with various amounts of Au nanoparticles(NPs) by sputtering; this was followed by thermal annealing. Different characterizations showed the successful formation of Au-decorated SnO2 NFs. Gas sensing tests were performed on the fabricated sensors, which showed bell-shaped sensing behavior with respect to the amount of Au decoration. The best CO sensing performance, with a response of ~20 for 10 ppm CO, was obtained at an optimized amount of Au (2.6 at.%). The interplay between Au and SnO2 in terms of the electronic and chemical sensitization by Au NPs is responsible for the great improvement in the CO sensing capability of pure SnO2 NFs, suggesting that Au-decorated SnO2 NFs can be a promising material for fabricating highly sensitive and selective chemiresistive-type CO gas sensors.

The study concentrates on the status of ecological environment development in Shenyang, uses the remote sensing images and social statistics in different periods as the data base, establishes a dynamic monitoring system and model of urbanization and ecological security. Through the identification and quantitative analysis of ecological security dynamic monitoring information, with the support of spatial information technology, we have formed a key technology system which combines ecological security warning with ecological security structure optimization. Moreover, the spatial database of ecological key elements in Shenyang city was constructed. The vertical pattern, horizontal pattern and ecological function of urban ecological system is organically combined, which provides the basic data for the layout and regulation of green space and water system. With these efforts, a key technology system is formed, including the warning of urban ecological security- the space regulation of economic development- the optimization of urban ecological security pattern - the regulation of urban elements' spatial layout. The research results provide scientific and accurate data base for ecological planning and regulation in Shenyang City , carry out effective ecological security monitoring and management for the development of Shenyang, protect the ecological integrity of the system as well as the healthy development of the economy in Shenyang City during the urbanization process .

Activated carbon fiber (ACF) surfaces are modified using an electron beam under different aqueous solutions to improve the NO gas sensitivity of a gas sensor based on ACFs. The oxygen functional group on the ACF surface is changed, resulting in an increase of the number of non-carbonyl (-C-O-C-) groups from 32.5% for pristine ACFs to 39.53% and 41.75% for ACFs treated with hydrogen peroxide and potassium hydroxide solutions, respectively. We discover that the NO gas sensitivity of the gas sensor fabricated using the modified ACFs as an electrode material is increased, although the specific surface area of the ACFs is decreased because of the recovery of their crystal structure. This is attributed to the static electric interaction between NO gas and the non-carbonyl groups introduced onto the ACF surfaces.

We present the rectifying and nitrogen monoxide (NO) gas sensing properties of an oxide semiconductor heterostructure composed of n-type zinc oxide (ZnO) and p-type copper oxide thin layers. A CuO thin layer was first formed on an indium-tin-oxide-coated glass substrate by sol-gel spin coating method using copper acetate monohydrate and diethanolamine as precursors; then, to form a p-n oxide heterostructure, a ZnO thin layer was spin-coated on the CuO layer using copper zinc dihydrate and diethanolamine. The crystalline structures and microstructures of the heterojunction materials were examined using X-ray diffraction and scanning electron microscopy. The observed current-voltage characteristics of the p-n oxide heterostructure showed a non-linear diode-like rectifying behavior at various temperatures ranging from room temperature to 200 oC. When the spin-coated ZnO/CuO heterojunction was exposed to the acceptor gas NO in dry air, a significant increase in the forward diode current of the p-n junction was observed. It was found that the NO gas response of the ZnO/CuO heterostructure exhibited a maximum value at an operating temperature as low as 100 oC and increased gradually with increasing of the NO gas concentration up to 30 ppm. The experimental results indicate that the spin-coated ZnO/CuO heterojunction structure has significant potential applications for gas sensors and other oxide electronics.

목 적 : 의료영상평가의 특성상 전문가의 정성적인 평가에 의존함에 따른 비용과 시간의 제약에 대한 문제점을 해소하고자 본 연구에서는 MR 확산 텐서 영상에 Compressed sensing 기법을 적용하여 복원한 영상과 원본 영상과의 정확도를 정량적으로 평가하기 위하여 fiber tract을 수치적으로 나타낼 수 있는 변수들의 상관관계를 분석하여 정량적 평가 방법의 기준을 제시하고자 한다. 대상 및 방법 : 2014년 3월부터 5월까지 본원에 내원한 환자 중 평균 나이 53.8 ± 15세(남성 3명, 여성 2명)의 뇌 질환이 의심되는 환자들에 대해 3.0T MRI(Archiva, Philips medical system, Netherlands)를 사용하여 뇌 MR 확산 텐서 영상을 얻었다. 획득한 원본 확산 텐서 영상들은 Compressed Sensing기법을 이용하여 under-sampling 후 영상복원의 정도(reduction factor)를 달리하여 재구성하였다. 각 신경 섬유 다발 영상들의 Fiber statics를 분석하여 신경 섬유의 총 개수, 한 단위 복셀 당 신경 섬유의 개수, 확산 텐서 영상에서 비등방성을 나타내는 고유의 값인 FA, RA, VR값과 평균 확산 계수(Mean Diffusivity), Radial Diffusivity, Eigen Value, Tensor Trace로 총 9개의 변수 값을 구하였다. 정성적 분석은 영상의학과 판독의 1명, 5년 이상 MRI 근무 경력이 있는 방사선사 4명에게 원본 영상과 비교하여 보았을 때 복원 영상이 진단적 가치가 있는지를 매우 양호하지 않다(1), 양호하지 않다(2), 보통(3), 양호하다(4), 매우 양호하다(5)의 항목으로 나누어 각각의 영상에 대하여 설문 조사를 하였다. 정성적 분석 결과와 변수들의 값을 회귀 분석을 통해 상관관계를 분석하여 식을 도출하였다. 결 과 : 25개의 training/test dataset에 대한 각 변수에 대한 가중치들을 회기 분석하여 구한 값을 통해 구한 test dataset의 정량적 분석과 전문가 집단의 정성적 분석과의 오차는 평균 19%를 보였으며 이 가중치 값들을 바탕으로 뇌 MR 확산 텐서 영상의 고속화에 다른 정확도를 정량적으로 평가하기 위한 방법의 식을 얻을 수 있었으며 평균 11%의 오차율을 보였다. 또한 sample data 수를 증가하여 결과를 예측해 보기 위하여 붓스트랩을 적용하여 15개의 복원된 뇌신경 섬유 영상의 원본과의 차이를 나타낸 변수 값들의 데이터를 training set으로 정하여 410개의 sample data를 바탕으로 구해진 가중치들의 값을 통해 얻은 식은 평균 7%의 오차율을 보였다. 결 론 : 전문가들의 정성적 평가에서 5명 모두 동일한 의견을 나타냈을 때는 8%에 지나지 않았으며 각 영상의 정성적 평가 평균값과 다른 의견을 보인 전문가들의 오차율은 평균 36%였다. 따라서 본 연구의 11%와 7% 오차율은 전문가들 중에서 이견을 보일 수 있는 오차율 보다 작아 허용 가능한 범위에 있는 것으로 보이며 이 두 식은 정확도를 평가하는 데 있어 정성적 평가방법을 충분히 대체할 수 있을 것으로 보인다. 하지만 정량적 평가의 정확도를 좀 더 높이기 위해서는 오차를 줄이기 위해 더 많은 training/test dataset의 실험을 추가하여 개선해 나아가면 될 것으로 보인다.

The development of glucose biosensors has been attracting much attention because of their importance in monitoring glucose in the human body; such sensors are used to diagnose diabetes and related human diseases. Thanks to the high selectivity, sensitivity to glucose detection, and relatively low-cost fabrication of enzyme-immobilized electrochemical glucose sensors, these devices are recognized as one of the most intensively investigated glucose sensor types. In this work, ZnO nanofibers were synthesized using an electrospinning method with polyvinyl alcohol zinc acetate as precursor material. Using the synthesized ZnO nanofibers, we fabricated glucose biosensors in which glucose oxidase was immobilized on the ZnO nanofibers. The sensors were used to detect a wide range of glucose from 10 to 700 M with a sensitivity of 10.01 nA/cm2- μM, indicating that the ZnO nanofiber-based glucose sensor can be used for the detection of glucose in the human body. The control of nanograins in terms of the size and crystalline quality of the individual nanofibers is required for improving the glucose-sensing abilities of the nanofibers.

This research introduces the development of fairy tale system directed behavior training game platform with brainwaves and motion sensing cognitive technologies for Attention Deficit Hyperactivity Disorder (ADHD) children. The system includes three major functions: 1) the brainwaves and motion recognition; 2) the interactive intervention with narrative contents; and 3) the sensor and intervention data management. The narrative contents combined with fairy tales and other elements for the game platform including characters, perspectives, quests, and scenes are integrated into the system. While a child is playing a given fairy tale, the child’s brainwaves and motion sensing data are transmitted to the system. This system simultaneously controls the intervention procedure, helping the child concentrate on the story and accomplish quests appropriately. The main contribution of this system is to help children with ADHD manage their behavior by continuously intervening them to increase the attention to the fairy tales and feel confidence on themselves with the improved test results.

위성을 이용한 국내외 위험유해물질 (HNS) 원격탐지기술의 현황을 살펴보고 탐지기술의 활용가능성을 고찰하였다. 현재까지 위성기반 HNS 탐지기술은 기름유출사고를 중심으로 이루어져 왔다. 기름유출의 경우, 인공위성 SAR(Synthetic Aperture Radar)와 가시 광센서 등을 이용한 다양한 탐지기법들과 그 적용 사례들이 여러 선행연구를 통해 보고된 바 있다. 반면, 기름을 제외한 물질탐지를 위한 기반기술 개발은 현재까지 미미한 실정이다.

Impedancemetric NOx (NO and NO2) gas sensors were designed with a stacked-layer structure and fabricated using LaCrxCo1-xO3 (x = 0, 0.2, 0.5, 0.8 and 1) as the receptor material and Li1.3Al0.3Ti1.7(PO4)3 plates as the solid-electrolyte transducer material. The LaCrxCo1-xO3 layers were prepared with a polymeric precursor method that used ethylene glycol as the solvent, acetyl acetone as the chelating agent, and polyvinylpyrrolidone as the polymer additive. The effects of the Co concentration on the structural, morphological, and NOx sensing properties of the LaCrxCo1-xO3 powders were investigated with powder Xray diffraction, field emission scanning electron microscopy, and its response to 20~250 ppm of NOx at 400 oC (for 1 kHz and 0.5 V), respectively. When the as-prepared precursors were calcined at 700 oC, only a single phase was detected, which corresponded to a perovskite-type structure. The XRD results showed that as the Co concentration of the LaCrxCo1-xO3 powders increased, the crystal structure was transformed from an orthorhombic phase to a rhombohedral phase. Moreover, the LaCrxCo1-xO3 powders with 0 ≤ x < 0.8 had a rhombohedral symmetry. The size of the particles in the LaCrxCo1-xO3 powders increased from 0.1 to 0.5 μm as the Co concentration increased. The sensing performance of the stack-structured LaCrxCo1-xO3/Li1.3Al0.3Ti1.7(PO4)3 sensors was found to divide the impedance component between the resistance and capacitance. The response of these sensors to NO gas was more sensitive than that to NO2 gas. Compared to other impedancemetric sensors, the LaCr0.8Co0.2O3/Li1.3Al0.3Ti1.7(PO4)3 sensor exhibited good reversibility and reliable sensingresponse properties for NOx gases.