• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.835-847
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• 2016

To analyze lattice or areal data, a conditionally autoregressive (CAR) model has been widely used in the eld of spatial analysis. The spatial neighborhoods within CAR model are generally formed using only inter-distance or boundaries between regions. Kyung and Ghosh (2010) proposed a new class of models to accommodate spatial variations that may depend on directions. The proposed model, a directional conditionally autoregressive (DCAR) model, generalized the usual CAR model by accounting for spatial anisotropy. Properties of maximum likelihood estimators of a Gaussian DCAR are discussed. The method is illustrated using a data set of median property prices across Greater Glasgow, Scotland, in 2008.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1133-1146
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• 2016

Counts or averages over arbitrary regions are often analyzed using conditionally autoregressive (CAR) models. The spatial neighborhoods within CAR model are generally formed using only the inter-distance or boundaries between the sub-regions. Kyung and Ghosh (2009) proposed a new class of models to accommodate spatial variations that may depend on directions, using different weights given to neighbors in different directions. The proposed model, directional conditionally autoregressive (DCAR) model, generalized the usual CAR model by accounting for spatial anisotropy. Bayesian inference method is discussed based on efficient Markov chain Monte Carlo (MCMC) sampling of the posterior distributions of the parameters. The method is illustrated using a data set of median property prices across Greater Glasgow, Scotland, in 2008.

• YAKHAK HOEJI
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• v.44 no.4
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• pp.308-314
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• 2000

Logarithmic transformation of pharmacokinetic parameters is routinely used in bioequivalence studies based on pharmacokinetic and statistical grounds by the United States Food and Drug Administration (FDA), European Committee for Proprietary Medicinal Products (CPMP), and Japanese National Institute of Health and Science (NIHS). Although it has not yet been recommended by the Korea Food and Drug Administration (KFDA), its use is becoming increasingly necessary in order to harmonize with international standards. In the present study, statistical procedures for the analysis of a bioequivalence based on the log transformation and a related SAS procedure were demonstrated in order to aid the understanding and application. The AUC parameters used in this demonstration were taken from the previous bioequivalence study for two aceclofenac tablets, which were performed in a single-dose crossover design. Analysis of variance (ANOVA), statistical power to detect 20% difference between the tablets, minimum detectable difference and confidence intervals were all assessed following log-transformation of the data. Bioequivalence of two aceclofenac tablets was then estimated based on the guideline of FDA. Considering the international effort for harmaonization of guidelines for bioequivalence tests, this approach may require a further evaluation for a future adaptation in the Korea Guidelines of Bioequivalence Tests (KGBT).

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.321-322
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• 2023

본 논문에서는 Scikit-learn 패키지의 LinearRegression 모델과 Keras 딥러닝 모델을 활용하여 수도권 도시 환경 요인에 따른 범죄 발생 건수를 예측 모델을 제안한다. 연구 방법으로 범죄 발생과 유의미한 관계가 있다고 파악되는 수도권의 각 자치구 별 데이터셋을 분석하여, CCTV, 파출소, 가로등의 수가 범죄 발생에 유의미한 영향을 끼치는 것을 확인하였다. 독립 변수들 간에 Scale을 줄이고자 정규화를 진행했고, 종속변수의 정규성 확보를 위해 로그변환을 취했다. 손실 함수는 회귀문제에서 사용되는 'relu'함수를 사용했고 모델의 성능을 확인할 수 있는 지표로 MSE(Mean Squared Error)를 사용해 모델을 구성하였다. 본 논문에서 설계한 이 프로그램은 범죄 발생율이 높은 지역구에 경찰 인력의 추가적 배치, 안전 시설 확충 등 실무적 조치를 취함에 있어 근거를 제공할 수 있을 것으로 사료된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.755-758
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• 2007

플래시 메모리는 휴대폰, MP3 플레이어, 개인휴대정보단말기(PDA), 휴대용 멀티미디어 플레이어(PMP), 디지털 카메라 및 캠코더와 같은 이동성이 강한 소형기기에서 가장 많이 사용되는 저장 매체이다. 최근 대용량의 값싼 플래시 메모리가 등장하면서 랩톱이나 데스크톱과 같은 일반적인 컴퓨팅 환경을 지닌 기기들에서도 그 사용이 확대되고 있는 추세이다. 플래시 메모리가 보다 범용적인 저장 장치로 사용되기 위해서는 일반 컴퓨팅 환경에서의 복잡한 작업 부하에서도 우수한 성능을 제공할 수 있는 플래시 변환 계층(Flash Translation Layer)이 반드시 필요하다. 아쉽게도 현재까지 연구된 FTL 기법들은 소형기기의 단순한 작업 부하에 알맞도록 설계되어 있으며, 일반 컴퓨팅 환경과 같이 복잡한 작업 부하를 지닌 환경에서는 우수한 성능을 제공하지 못한다는 단점을 가지고 있다. 본 논문에서는 일반 컴퓨팅 환경의 복잡한 작업 부하에 대해서도 우수한 가비지 수집 성능을 제공하는 새로운 로그 블록 교체 기법을 제안하였다. 실험을 통한 평가 결과, 제안한 기법은 기존 기법 대비 평균 35% 정도의 가비지 수집 부하를 감소시키는 것으로 나타났다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.8
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• pp.53-60
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• 2009

A low-power/small-area 128-point FFT processor is designed, which is based on logarithmic number system (LNS) and some design techniques to minimize both hardware complexity and arithmetic error. The complex-number multiplications and additions/subtractions for FFT computation are implemented with LNS adders and look-up table (LUT) rather than using conventional two's complement multipliers and adders. Our design reduces the gate counts by 21% and the memory size by 16% when compared to the conventional two's complement implementation. Also, the estimated power consumption is reduced by about 18%. The LNS-based FFT processor synthesized with 0.35 ${\mu}m$ CMOS standard cell library has 39,910 gates and 2,880 bits memory. It can compute a 128-point FIT in 2.13 ${\mu}s$ with 60 MHz@2.5V, and has the average SQNR of 40.7 dB.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.497-501
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• 2009

'Digilog Book' integrates advantages of existing paper book and immersive digital contents in augmented reality environment, which enables users to feel physical touch and get additional multisensory feedback. As a high level authoring user interface, 'ARtalet' provides an intuitive way to make Digilog Book through 3D user interface in augmented reality environment. This paper mentions trajectory inserting and editing methods of 3D objects, then combining method of the trajectory. 3D object is selected by camera tracked prop, and then transformation matrix relative to book plane is stored in real time based on timeframe. The saved trajectory is managed as templates, and user can make various compositions of trajectories. We expect that suggested methods can enhance interest of readers.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.6
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• pp.477-483
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• 2016

Velocity profiles of laminar, transition and turbulent boundary layers were investigated by using Particle Image Velocimetry(PIV) measurements on the flat plate at Mach 2.96. The Schlieren visualization and PIV measurements are also used to confirm whether the oblique shock wave generated from the leading edge affects the flow field over the flat plate. The laminar velocity profile measured from the experiment was well matched with the compressible Blasius solution. The velocity profile of the transition boundary layer was well correlated with the theoretical turbulent velocity profile from near the wall and the transition began from Re = $1.41{\times}106$. For the turbulent boundary layer, considering compressibility effects, the Van Driest-transformed velocity satisfies the incompressible log-law. It is found that the log region is extended farther in the wall-normal direction compared to the log region in incompressible boundary layer.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.71-84
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• 2017

Radon, which enters the interior environment from soil, rocks, and groundwater, is a radioactive gas that poses a serious risk to humans. Indoor radon concentrations are measured to investigate the risk of radon gas exposure and reliable radon concentration mapping is then performed for further analysis. In this study, we compared the predictive performance of various univariate kriging algorithms, including ordinary kriging and three nonlinear transform-based kriging algorithms (log-normal, multi-Gaussian, and indicator kriging), for mapping radon concentrations with an asymmetric distribution. To compare and analyze the predictive performance, we carried out jackknife-based validation and analyzed the errors according to the differences in the data intervals and sampling densities. From a case study in South Korea, the overall nonlinear transform-based kriging algorithms showed better predictive performance than ordinary kriging. Among the nonlinear transform-based kriging algorithms, log-normal kriging had the best performance, followed by multi-Gaussian kriging. Ordinary kriging was the best for predicting high values within the spatial pattern. The results from this study are expected to be useful in the selection of kriging algorithms for the spatial prediction of data with an asymmetric distribution.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.11
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• pp.2081-2093
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• 1994

In this study, we design and implement 64 QAM demodulator which has 155 Mbps, first level of CCITT G707 SDH(Synchronous Digital Hierachy) for STM 1 signal transmission. Carrier recovery which effects the demodulator performance uses decision feedback carrier using 8 bits A/D converter. Also, PSF(Pulse Shaping Filter) is 7 order elliptic filter. Carrier recovery circuit is designed and implemented digital type which use high 3 bits of 8 bits conversion data as data and the order low bits as error data and hybrid type which use VCO and analog integrator. Therefore we obtain stable performance recovery.