• Bulletin of the Korean Chemical Society
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• 제33권9호
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• pp.2873-2877
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• 2012

Quasi-classical trajectory (QCT) calculations of H+HLi reaction have been carried out on a new potential energy surface of the ground state reported by Prudente et al. [Chem. Phys. Lett. 2009, 474, 18]. The four polarization-dependent differential cross sections have been carried out in the center of mass (CM) frame at various collision energies. The reaction probability for the depletion channel has been studied over a wide collision energy range. It has been found that the collision energy decreases remarkably reaction probability, which shows the expected behavior of the title reaction belonging to an exothermic barrierless reaction. The results are in good agreement with previous RMP results. The P(${\theta}_r$), P(${\phi}_r$) and P(${\theta}_r,\;{\phi}_r$) distributions, the k-k'-j' correlation and the angular distribution of product rotational vectors are presented in the form of polar plots. The average rotational alignment factor <$P_2(j{\prime}{\cdot}k)$> as a function of collision energy is also calculated. The results indicate that the collision energy has a great influence on the polarization of the product rotational angular momentum vector j'.

• 한국전자파학회논문지
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• 제24권5호
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• pp.541-548
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• 2013

본 논문에서는 상용 벡터 회로망 분석기를 사용하지 않고도, 신호 발생기, 벡터 전압 수신기, 방향성 결합기, 주파수 혼합기 등의 기본적인 초고주파 장비/소자를 활용하여 평가하고자 하는 초고주자 소자의 2-포트 산란 계수를 측정할 수 있는 시스템을 제안한다. 벡터 회로망 분석기를 대용할 수 있는 산란 계수 측정 시스템의 해석적 모델과 제작방법을 제시하고, 이를 1-포트와 2-포트 소자에 대하여 각각 적용한 산란 계수를 측정하여 구현된 시스템을 평가하였다. 평가 주파수 대역에 따라 비교적 낮은 대역에서는 단일 신호 발생기와 벡터 전압 수신기를 사용한 직접 수신법을, 높은 대역에서는 추가의 신호원과 주파수 혼합기를 사용하여 신호를 하향 복조하는 헤테로다인 방식을 사용하여 산란 계수를 결정짓는 벡터 전압을 수신하였다. 이들 각각의 수신 방법으로 UHF와 X 대역 초고주파 소자의 2-포트 산란 계수를 평가하였고, 그 유효성을 상용 벡터 회로망 분석기로 검증하였다.

• Interdisciplinary Bio Central
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• 제4권4호
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• pp.14.1-14.6
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• 2012

Splice site prediction in DNA sequence is a basic search problem for finding exon/intron and intron/exon boundaries. Removing introns and then joining the exons together forms the mRNA sequence. These sequences are the input of the translation process. It is a necessary step in the central dogma of molecular biology. The main task of splice site prediction is to find out the exact GT and AG ended sequences. Then it identifies the true and false GT and AG ended sequences among those candidate sequences. In this paper, we survey research works on splice site prediction based on support vector machine (SVM). The basic difference between these research works is nucleotide encoding technique and SVM kernel selection. Some methods encode the DNA sequence in a sparse way whereas others encode in a probabilistic manner. The encoded sequences serve as input of SVM. The task of SVM is to classify them using its learning model. The accuracy of classification largely depends on the proper kernel selection for sequence data as well as a selection of kernel parameter. We observe each encoding technique and classify them according to their similarity. Then we discuss about kernel and their parameter selection. Our survey paper provides a basic understanding of encoding approaches and proper kernel selection of SVM for splice site prediction.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권4호
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• pp.405-414
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• 2016

IC-implementations provide high performance for solving the high computational cost of pattern matching but have relative low flexibility for satisfying different applications. In this paper, we report an associative memory architecture for k nearest neighbor (KNN) search, which is one of the most basic algorithms in pattern matching. The designed architecture features reconfigurable vector-component parallelism enabled by programmable switching circuits between vector components, and a dedicated majority vote circuit. In addition, the main time-consuming part of KNN is solved by a clock mapping concept based weighted frequency dividers that drastically reduce the in principle exponential increase of the worst-case search-clock number with the bit width of vector components to only a linear increase. A test chip in 180 nm CMOS technology, which has 32 rows, 8 parallel 8-bit vector-components in each row, consumes altogether in peak 61.4 mW and only 11.9 mW for nearest squared Euclidean distance search (at 45.58 MHz and 1.8 V).

• 약학회지
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• 제57권4호
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• pp.265-271
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• 2013

Treatments of vascular disease via modulating the expression of specific proteins by gene transfer have been attempted in various studies over the past few years. Among several methods to deliver genes, adenovirus currently has been used because of a number of positive aspects. In this study, we test adenoviral vector as a potential mediator in the treatment of vascular disease by using freshly isolated vascular tissues not cultured vascular cells. Freshly isolated vascular tissues were directly exposed to adenoviral vector pAd5CMVmcsIRESeGFPpA to check the possibility of GFP expression in different layer of vascular tissues. We found that the GFP expression by using adenoviral vector experiments is mainly focused on the adventitia and failed to detect GFP expression at endothelial layer or vascular smooth muscle layer in vascular tissues. However, we also found that several integrin receptors are robustly expressed in vascular smooth muscle, thus the limited expression of protein in vascular smooth muscle are not likely the lack of integrin receptors. In conclusion, adenovirus could not be a good tool for a specific protein expression in vascular smooth muscle cell. Thus, the application of adenovirus as a tool for gene therapy of vascular smooth muscle cells in clinical therapeutic trial need to be optimized further.

• 방송공학회논문지
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• 제20권4호
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• pp.533-544
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• 2015

최근에 대부분의 비디오 서비스는 무선 네트워크를 통해서 전송된다. 하지만 무선 네트워크 환경에서 비디오 패킷은 전송되는 동안 오류에 노출되기 쉽다. 이러한 문제를 해결하기 위해 본 논문에서는 새로운 오류 은닉 (Error Concealment : EC) 알고리즘을 제안한다. 제안하는 알고리즘에서는 High Efficiency Video Coding (HEVC) 환경에서 시간적 상관도를 이용한 적응적인 예측 단위 기반의 움직임 벡터 외삽 (Adaptive Prediction Unit-based Motion Vector Extrapolation : APMVE)과 공간적 상관도를 이용한 경계 정합(Boundary Matching : BM) 알고리즘을 이용한다. APMVE는 시간적 상관도를 기반으로 손실 프레임 이전 프레임의 예측 단위(Prediction Unit : PU)를 이용하여 오류 은닉 기본 단위 (Error Concealment Basic Unit : ECBU)를 적응적으로 결정하고 BM은 공간적 상관도를 이용하여 비신뢰 블록 (Unreliable Block)들에 한하여 수행한다. 제안하는 알고리즘은 기존 알고리즘에서 나타나는 블록킹 열화를 효과적으로 제거하여 높은 주관적 화질을 보여준다.

• 한국환경과학회지
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• 제3권4호
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• pp.349-356
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• 1994

The purpose of this study is to develop a linear reservoir model with Kalman filter using Kalman filter theory which removes a physical uncertainty of :ainfall-runoff process. A linear reservoir model, which is the basic model of Kalman filter, is used to calculate runoff from rainfall in river basin. A linear reservoir model with Kalman filter is composed of a state-space model using a system model and a observation model. The state-vector of system model in linear. The average value of the ordinate of IUH for a linear reservoir model with Kalman filter is used as the initial value of state-vector. A .linear reservoir model with Kalman filter shows better results than those by linear reserevoir model, and decreases a physical uncertainty of rainfall-runoff process in river basin.

• 통합자연과학논문집
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• 제12권4호
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• pp.105-115
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• 2019

In this paper, a prediction system is proposed to control the brightness of smart street lamps by predicting the moving path through the reduction of consumption power and information of pedestrian's past moving direction while meeting the function of existing smart street lamps. The brightness of smart street lamps is adjusted by utilizing the walk tracking vector and soft hand-off characteristics obtained through the motion sensing sensor of smart street lamps. In addition, the motion vector is used to analyze and predict the pedestrian path, and the GPU is used for high-speed computation. Pedestrians were detected using adaptive Gaussian mixing, weighted difference imaging, and motion vectors, and motions of pedestrians were analyzed using the extracted motion vectors. The preprocessing process using linear interpolation is performed to improve the performance of the proposed prediction system. Fuzzy prediction system and neural network prediction system are designed in parallel to improve efficiency and rough set is used for error correction.

• Journal of the Korean Data and Information Science Society
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• 제28권1호
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• pp.227-235
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• 2017

When the spatial information of each location is given specifically as coordinates it is popular to use the geographically weighted regression to incorporate the spatial information by assuming that the regression parameters vary spatially across locations. In this paper, we relax the linearity assumption of geographically weighted regression and propose a geographically weighted least squares-support vector machine for estimating geographically weighted mean by using the basic concept of kernel machines. Generalized cross validation function is induced for the model selection. Numerical studies with real datasets have been conducted to compare the performance of proposed method with other methods for predicting geographically weighted mean.

• 통합자연과학논문집
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• 제11권3호
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• pp.154-160
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• 2018

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}(p-r{\geq}3)$, r = rank(K) with a projection matrix K under the quadratic loss, based on a sample $Y_1$, $Y_2$, ${\cdots}$, $Y_n$. In this paper a James-Stein type estimator with shrinkage form is given when it's variance distribution is specified and when the norm ${\parallel}{\theta}-K{\theta}{\parallel}$ is constrain, where K is an idempotent and symmetric matrix and rank(K) = r. It is characterized a minimal complete class of James-Stein type estimators in this case. And the subclass of James-Stein type estimators that dominate the sample mean is derived.