• KSBB Journal
• /
• 제18권4호
• /
• pp.261-265
• /
• 2003

이부프로펜 중 S-enantiomer는 약물학적 효과를 갖고 있으나 R-enantiomer는 여러 가지 부작용을 갖고 있다. 이런 라세미 혼합물은 키랄 고성능 액체 크로마토그래피를 이용하여 효과적으로 분리 할 수 있었다. 실험에서 이용한 column(3.9 ${\times}$ 300 mm)은 Kromasil 10 $\mu\textrm{m}$를 충진하였고, 이동상으로는 n-hexane/tert-butyl methyl ether/acetic acid를 사용하였다. 유속은 1.0 $m\ell$/min 주입부피는 5 ${\mu}\ell$이고, UV 검출기의 wavelength는 220 nm이며 실온에서 실험하였다. 라세미 형태의 이부프로펜을 키랄 고정상으로 채워진 컬럼을 이용하여 이동상의 조성비를 바꿔가면서 이동상의 조성 변화에 따른 두 물질의 분리도의 상관식을 얻었다. 이 상관식을 이용하여 각 조성에 분리도에 미치는 영향을 정량적으로 표시하였고 보간법 또는 외사법에 의하여 실험이외의 조성에 대한 분리도를 예측할 수 있는 장점이 있다.

• 분석과학
• /
• 제18권6호
• /
• pp.483-490
• /
• 2005

TOF 비행시간을 이용한 에어로졸 질량분석기에서 질량분석기의 분해능은 발생하는 이온의 초기에너지와 이온이 움직이는 진행방향에 따라 달라진다. 고출력 펄스형 레이저에 의하여 에어로졸로부터 용발되어 이온화된 원소들은 다른 속도로 사방으로 퍼져 나가게 되어 분해능 저하를 초래하는데 이를 방지하기 위해서 1차 가속된 이온들을 서로 다른 에너지로 후집속하여 같은 시간에 이온센서에 도달하도록 하는 장치에 대하여 연구를 수행하였다. 후집속 전위를 $90^{\circ}$ 방향으로 진행하는 이온을 중심으로 서로 다른 방향으로 걸어 줌으로써 TOF 영역을 지나 센서로 도입되는 이온의 도착 시간이 크게 개선되었음을 알 수 있었으며, 이를 실증하기 위하여 레이저 유도 이온을 만들고 후집속 장치를 구성하여 최적의 시간지연시간 및 전압 조건을 도출하여 그 성능을 증가시켰다.

• 한국항공우주학회지
• /
• 제38권9호
• /
• pp.869-874
• /
• 2010

압전 소자는 부피에 비해 발생 힘이 크고 빠른 응답 특성을 갖기 때문에, 최근 압전 소자를 이용한 모터의 연구가 활발하게 이루어지고 있다. 그러나 발생 변위가 작아, 압전소자의 직접적인 변위 특성을 이용하는 것에 한계가 있다. 따라서 큰 변위를 확보하기 위해, 바이메탈을 사용하거나 한 개 이상의 압전 소자를 사용한 모터가 연구되었다. 본 연구를 통해 제안된 선형 모터는 구동부의 첫 번째 모드 형상을 이용하기 때문에 낮은 구동 주파수에서 작동이 가능하다. 또한 한 개의 압전 소자를 사용하여, 구동 주파수와 구동부의 공진 주파수 비에 따라 모터의 방향을 제어할 수 있도록 고안되었다.

• 한국레이저가공학회지
• /
• 제18권4호
• /
• pp.17-22
• /
• 2015

In this paper, ablation rate of $Al_2O_3$ ceramics by femtosecond laser fluence is derived with experimental method. The automatic three axis linear stage makes laser optics to move with high spatial resolution. With 10 times objective lens, minimal pattern width of $Al_2O_3$ is measured in the focal plane. Ablated surface area is shown as linear tendency increasing number of machining times with various laser power conditions. Machining times is most sensitive condition to control $Al_2O_3$ pattern width. Also, the linear increment of pattern width with laser power change is investigated. In high machining speed, the ablation volume rate is more linear with fluence because pulse overlap is minimized in this condition. Thermal effect to surrounding medium can be minimized and clean laser process without melting zone is possible in high machining speed. Ablation volume rate decelerates as increasing machining times and multiple machining times should be considered to achieve proper ablation width and depth.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 1998년도 하계종합학술대회논문집
• /
• pp.271-274
• /
• 1998

Ultrasonic sensors are becoming indispensable components in every sector of automation equipments due to many advantages. But the main purposes of the noncontact sensing device are rather narrowly confined within object detection and distance measurement. To widen the realm of the applications to object recognition, ultrasonic sensors need to improve the recognition resolution to a certain amount. To resolve the problem of spatial resolution restriction, an increased number of the sensors in the forms of a linear array or 2-dimensional array of the sensor has been used. Also better resolution has been obtained by shifting the array in several steps using mechanical actuators. For an object recognition using ultrasonic sensors, measurements of distance, shift, oblique angle in certain ranges should be obtained. But a little attention has been paid to the measurement of angles. In this paper we propose a practical method for an object angular value detection in addition to distance measurement in ultrasonic sensor array system with little additional hardware burden. Using the established measurement look-up table for the variations of distance, shift, angle and transmitter voltages for each sensor characteristics, a set of different return echo signals for adjacent receivers are processed to provide enhanced angular value reading for an object.

• 대한원격탐사학회지
• /
• 제31권4호
• /
• pp.303-319
• /
• 2015

The objectives of this paper are to measure surface imperviousness using three different classification methods: per-pixel, sub-pixel, and object-oriented classification. They are tested on high-spatial resolution QuickBird data at 2.4 meters (four spectral bands and three principal component bands) as well as a medium-spatial resolution Landsat TM image at 30 meters. To measure impervious surfaces, we selected 30 sample sites with different land uses and residential densities across image representing the city of Phoenix, Arizona, USA. For per-pixel an unsupervised classification is first conducted to provide prior knowledge on the possible candidate spectral classes, and then a supervised classification is performed using the maximum-likelihood rule. For sub-pixel classification, a Linear Spectral Mixture Analysis (LSMA) is used to disentangle land cover information from mixed pixels. For object-oriented classification several different sets of scale parameters and expert decision rules are implemented, including a nearest neighbor classifier. The results from these three methods show that the object-oriented approach (accuracy of 91%) provides more accurate results than those achieved by per-pixel algorithm (accuracy of 67% and 83% using Landsat TM and QuickBird, respectively). It is also clear that sub-pixel algorithm gives more accurate results (accuracy of 87%) in case of intensive and dense urban areas using medium-resolution imagery.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권5호
• /
• pp.2539-2554
• /
• 2017

Regression-based image super resolution (SR) methods have shown great advantage in time consumption while maintaining similar or improved quality performance compared to other learning-based methods. In this paper, we propose a novel single image SR method based on hierarchical regression to further improve the quality performance. As an improvement to other regression-based methods, we introduce a hierarchical scheme into the process of learning multiple regressors. First, training samples are grouped into different clusters according to their geometry similarity, which generates the structure layer. Then in each cluster, a compact dictionary can be learned by Sparse Coding (SC) method and the training samples can be further grouped by dictionary atoms to form the detail layer. Last, a series of projection matrixes, which anchored to dictionary atoms, can be learned by linear regression. Experiment results show that hierarchical scheme can lead to regression that is more precise. Our method achieves superior high quality results compared with several state-of-the-art methods.

• International Journal of CAD/CAM
• /
• 제9권1호
• /
• pp.37-46
• /
• 2010

Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration, but not suitable for the naturally blurred images existing in the real image mosaic process. In this paper, we attempt to resolve this problem and propose a method for a distortion-free stitching of naturally blurred images for image mosaic. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. In order to stitch multiple images together, an iterative registration strategy is also adopted to estimate the focal length of each image. Experimental results demonstrate the performance of the proposed method.

• 한국산업융합학회 논문집
• /
• 제23권6_2호
• /
• pp.979-987
• /
• 2020

This study used the Deep Learning models used in previous studies, we selected the basic model. The selected model was selected as ZFNet among ZFNet, Googlenet and ResNet, and the object was detected using a ZFNet based FRCNN. In order to reduce the detection error rate of FRCNN, location of four types of objects detected inside the image was designed by SVM classifier and location-based filtering was applied. As simulation results, it showed similar performance to the lane marking classification method with conventional 경계 detection, with an average accuracy of about 88.8%. In addition, studies using the Linear-parabolic Model showed a processing speed of 165.65ms with a minimum resolution of 600 × 800, but in this study, the resolution was treated at about 33ms with an input resolution image of 1280 × 960, so it was possible to classify lane marking at a faster rate than the previous study by CNN-based End to End method.

• 디지털산업정보학회논문지
• /
• 제5권1호
• /
• pp.83-88
• /
• 2009

This paper consider the problem of direction of arrival(DOA) estimation in the presence of multipath propagation. The sensor elements are assumed to be linear and uniformly spaced. Numerous authors have advocated the use of a beamforming preprocessor to facilitate application of high resolution direction finding algorithms The benefits cited include reduced computation, improved performance in environments that include spatially colored noise, and enhanced resolution. Performance benefits typically have been demonstrated via specific example. The purpose of this paper is to provide an analysis of a beamspace version of the MUSIC algorithm applicable to two closely spaced emitters in diverse scenarios. Specifically, the analysis is applicable to uncorrelated far field emitters of any relative power level, confined to a known plane, and observed by an arbitrary array of directional antenna. In this paper, we researched about optimize beam forming to smart antenna system. The covariance matrix obtained using fourth order cumulant function. Simulations illustrate the performance of the techniques.