• 수산해양기술연구
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• 제49권4호
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• pp.352-359
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• 2013

To estimate the mesh selectivity of gillnet for ocellate spot skate (Okamejei kenojei), the field tests were carried out 12 times with six different mesh sizes (121.2mm, 137.7mm, 151.5mm, 168.3mm, 178.2mm, 189.4mm) in the coastal waters of Taean, Chungcheongnamdo of Korea, 2010~2011. In the field tests, the total number of species was 31, and that of catch was 1,410 and the total weight was 618,006g. The number and weight of ocellate spot skate which is main target in this study were 1,004 and 434,592g, respectively. The catch in number of ocellate spot skate occupied about 71.2% in total catch. The others of catch species were marbled sole (8.4%), sea raven (4.4%), japanese swimming crab (4.2%) and flatfish (4.1%) and so on. The range of body disk width (DW) of ocellate spot skates which were caught in this study was 15.2~35cm and the mode was 27~29cm. The estimation equation of mesh selectivity using the extended Kitahara's method was expressed as s $(R)=s(DW/m)={\exp}\{(-0.56R^3-1.80R^2+12.96R-9.99)-4.26\}$. The optimum value of DW/m for 1.0 of retention probability in this estimation equation was estimated 1.899 and DW/m was estimated to be 1.194, 1.314, 1.395, 1.461 and 1.520 when the retention probability were 0.1, 0.2, 0.3, 0.4 and 0.5, respectively. When applied to the retention probability of 0.5, the optimum mesh size was estimated to be 177.0mm on first maturity disk width 26.9cm of ocellate spot skate.

• 정보처리학회논문지D
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• 제10D권6호
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• pp.927-934
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• 2003

데이터베이스 질의 최적화기는 가장 효율적인 실행계획을 구하기 위해서 질의의 선택율을 추정한다. 일반적으로 애트리뷰트들은 서로 독립적이지 않기 때문에 여러 개의 애트리뷰트를 가지는 질의에 대해서는 다차원 선택을 추정 기법이 필요하다. 대부분의 상용 데이터베이스에서는 히스토그램이 계산 오버헤드가 많지 않고 작은 에러율로 데이터 분포를 를 근사 시킬 수 있기 때문에 실용적으로 많이 사용되고 있다. 그러나 여러 개의 애트리뷰트를 가진 다차원 지?l의 경우에서는 차원이 높아 질수록 에러율을 낮추기 위해 많은 저장 공간을 필요로 하기 때문에 히스토크램 방법이 적합하지 않다. 이 논문에서는 다차원 선택을 추정을 위한 새로운 기법을 제안한다. 다차원 공간에서 크기가 작은 히스토그램 버켓을 많이 만들고 이 버켓의 정보를 DCT로 압축하여 선택을 추정에 사용함으로써 에러율을 작게 하고 저장 공간의 사용량도 줄인다. 폭 넓은 실험 결과는 본 논문에서 제시한 방법들의 타당성과 이점을 확인시켜 준다.

• ETRI Journal
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• 제43권6호
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• pp.966-977
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• 2021

Filterbank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) is an attractive alternative to the orthogonal frequency division multiplexing (OFDM) modulation technique. In comparison with OFDM, the FBMC-OQAM signal has better spectral confinement and higher spectral efficiency and tolerance to synchronization errors, primarily due to per-subcarrier filtering using a frequency-time localized prototype filter. However, the filtering process introduces intrinsic interference among the symbols and complicates channel estimation (CE). An efficient way to improve the CE in FBMC-OQAM is using a technique known as windowed frequency domain averaging (FDA); however, it requires a priori knowledge of the window length parameter which is set based on the channel's frequency selectivity (FS). As the channel's FS is not fixed and not a priori known, we propose a k-nearest neighbor-based machine learning algorithm to classify the FS and decide on the FDA's window length. A comparative theoretical analysis of the mean-squared error (MSE) is performed to prove the proposed CE scheme's effectiveness, validated through extensive simulations. The adaptive CE scheme is shown to yield a reduction in CE-MSE and improved bit error rates compared with the popular preamble-based CE schemes for FBMC-OQAM, without a priori knowledge of channel's frequency selectivity.

• International Journal of Human Ecology
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• 제4권2호
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• pp.77-87
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• 2003

This paper tried to construct statistical and econometric models on the basis of economic theory in order to discuss the issue of statistical efficiency and unbiasedness including the sample selection bias correcting problem. Comparative analytical tool were one stage Tobit of Maximum Likelihood estimation and Heckman's two-step Tobit of Ordinary Least Squares. The results showed that the adequacy of model for the analysis on demand and choice, we believe that there is no big difference in explanatory variables between the first selection model and the second linear probability model. Since the Lambda, the self- selectivity correction factor, in the Type II Tobit is not statistically significant, there is no self-selectivity in the Type II Tobit model, indicating that Type I Tobit model would give us better explanation in the demand for and choice which is less complicated statistical method rather than type II model.

• Bulletin of the Korean Chemical Society
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• 제33권8호
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• pp.2669-2674
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• 2012

Crown ether is one of well-known host molecules and able to selectively sequester metal cation. We employed M06-2X density functional theory with IEFPCM and SMD continuum solvation models to study selectivity of dibenzo-18-crown-6-ether (DB18C6) for alkaline earth dications, $Ba^{2+}$, $Sr^{2+}$, $Ca^{2+}$, and $Mg^{2+}$ in the gas phase and in aqueous solution. $Mg^{2+}$ showed predominantly strong binding affinity in the gas phase because of strong polarization of CO bonds by cation. In aqueous solution, binding free energy differences became smaller among these dications. However, $Mg^{2+}$ had the best binding, being incompatible with experimental observations in aqueous solution. The enthalpies of the dication exchange reaction between DB18C6 and water cluster molecules were computed as another estimation of selectivity in aqueous solution. These results also demonstrated that $Mg^{2+}$ bound to DB18C6 better than $Ba^{2+}$. We speculated that the species determining selectivity in water could be 2:1 complexes of two DB18C6s and one dication.

• 대한전자공학회논문지TC
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• 제37권2호
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• pp.32-45
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• 2000

본 논문에서는 CDMA 기지국에 선형 어레이 안테나를 적용하고자 할 경우, beamforming(BF) 성능과 관련된 두 가지 주요지표인 주 빔 폭의 좁은 정도를 지칭하는 direction selectivity와 사용자 신호의 방향추정 정확도가 BF의 SINR(Signal to interference and noise ratio) 성능에 미치는 영향과 이들 상호간의 관련성을 해석적으로 유도하였으며, 이를 수신 동작 시뮬레이션을 통하여 확인하였다. BF에 내포된 사용자 방향추정 기능과 간섭 사용자 신호 억제기능에 대하여 이들의 오차가 SINR에 미치는 영향을 구분하여 알아보기 위한 목적으로 방향추정 기능만을 포함한 steering BF 알고리즘과 간섭 사용자 전력을 최소화시키는 기능이 포함된 MVDR(Minimum variance distortionless response) BF 알고리즘을 대상으로 해석 및 동작 시뮬레이션을 수행하였다. 이 과정에 BF 알고리즘의 방향추정 기능에 직접적으로 오차를 유발하는 전파의 공간적 scattering 현상에 대한 모델을 새로이 제시하여 적용하도록 하였다. 본 연구의 결과, 종래의 군사적 목적의 BF와는 달리 셀룰러 CDMA 기지국에 array 안테나를 적용하고자 할 경우는 direction selectivity 및 사용자 방향추정 정확도를 향상시키고자 하는 것이 구현의 경제성 및 오차요인들에 대한 robustness 측면에서는 적합하지 않다는 것을 확인하였다. 이러한 특성은 BF 성능열화에는 크게 영향을 주지 않으면서 복잡도를 최소화하고 오차요인에 대한 robustness 특성을 갖는 경제적인 BF 알고리즘의 구현을 가능케 하여주는 중요한 사실이다. 이에 본 연구에서 제시한 해석의 결과는 셀룰러 CDMA기지국에 대한 BF 알고리즘 개발 및 적용의 설계지표로서 의미가 크다하겠다.

• 한국음향학회지
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• 제41권2호
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• pp.143-149
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• 2022

본 논문은 최대우도추정(Maximum Likelihood Estimation, MLE)을 적용한 선택적 합성법(Selective Combining, SC)의 수중 주파수 다이버시티 통신성능을 평가하였다. 수중 다중경로 주파수 선택적 채널에서 수신 신호의 지연확산에 따른 상쇄 간섭 페이딩(destructive interference fading)은 수중 음향 통신 시스템의 오류 증가와 신호대잡음비(Signal to Noise Ratio, SNR)변동성에 영향을 준다. SC의 결정 값 추출을 위한 MLE 적용 해상실험에서 SC 주파수 다이버시티와 MLE-SC 주파수 다이버시티 성능을 평가하였다. SC보다 MLE-SC를 통해 추출한 결정 값을 적용한 경우 상대적으로 낮은 BER(Bit Error Rate) 특성을 확인하였다.

• 한국통신학회논문지
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• 제30권10C호
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• pp.976-982
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• 2005

In this paper, a channel-adaptive beamforming method is proposed for OFDMA (Orthogonal Frequency Division Multilexing Access) systems with smart antenna, in which the size of a cluster is determined adaptively depending on the frequency selectivity of the channel. The proposed method consists of 4 steps: initial channel estimation, refinement of channel estimates, region-splitting, and computation of weight vector for each region. In the proposed method, the size of a cluster for resource unit is determined adaptively according to a region-splitting criterion. It is shown by simulation that the proposed method shows good performances in both frequency-flat and frequency-selective channels.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3055-3070
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• 2013

This paper proposes an improved carrier frequency offset (CFO) and sampling frequency offset (SFO) estimation scheme for orthogonal frequency division multiplexing (OFDM) based broadcasting system with cyclic delay diversity (CDD) antenna. By exploiting a periodic nature of channel transfer function, cyclic delay and pilot pattern with a maximum channel power are carefully chosen, which helps to enable a robust estimation of CFO and SFO against the frequency selectivity of the channel. As a performance measure, a closed-form expression for the achievable mean square error of the proposed scheme is derived and is verified through simulations using the parameters of the digital radio mondiale standard. The comparison results show that the proposed frequency estimator is shown to benefit from properly selected delay parameter and pilot pattern, with a performance better than the existing estimator.

• International Journal of Contents
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• 제14권2호
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• pp.1-6
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• 2018

In a wireless mobile communication system, a pilot signal has been considered to be a necessary signal for estimating a changing channel between a base station and a terminal. All mobile communication systems developed so far have a specification for transmitting pilot signals. However, although the pilot signal transmission is easy to estimate the channel,(Ed: unclear wording: it is easy to use the pilot signal transmission to estimate the channel?) it should be minimized because it uses radio resources for data transmission. In this paper, we propose a pilotless channel estimation scheme (PCE) by introducing the clustering method of unsupervised learning used in our deep learning into channel estimation.(Ed: highlight- unclear) The PCE estimates the channel using only the data symbols without using the pilot signal at all. Also, to apply PCE to a real system, we evaluated the performance of PCE based on the resource block (RB), which is a resource allocation unit used in LTE. According to the results of this study, the PCE always provides a better mean square error (MSE) performance than the least square estimator using pilots, although it does not use the pilot signal at all. The MSE performance of the PCE is affected by the number of data symbols used and the frequency selectivity of the channel. In this paper, we provide simulation results considering various effects(Ed: unclear, clarify).