• 설비공학논문집
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• 제28권9호
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• pp.355-360
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• 2016

Continuing to the modeling of heating load, this paper, as the second part of consecutive works, presents LS-SVM (least square support vector machine) based model of winter time apartment hot water supply load in a district heating system, so as to be used in prediction of heating energy usage. Similar, but more severely, to heating load, hot water supply load varies in highly nonlinear manner. Such nonlinearity makes analytical model of it hardly exist in the literatures. LS-SVM is known as a good modeling tool for the system, especially for the nonlinear system depended by many independent factors. We collect 26,208 data of hot water supply load over a 13-week period in winter time, from 12 heat exchangers in seven different apartments. Then part of the collected data were used to construct LS-SVM based model and the rest of those were used to test the formed model accuracy. In modeling, we first constructed the model of district heating system's hot water supply load, using the unit heating area's hot water supply load of seven apartments. Such model will be used to estimate the total hot water supply load of which the district heating system needs to provide. Then the individual apartment hot water supply load model is also formed, which can be used to predict and to control the energy consumption of the individual apartment. The results obtained show that the total hot water supply load, which will be provided by the district heating system in winter time, can be predicted within 10% in MAPE (mean absolute percentage error). Also the individual apartment models can predict the individual apartment energy consumption for hot water supply load within 10% ~ 20% in MAPE.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 추계학술대회
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• pp.597-599
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• 2010

본 논문에서는 MIMO-OFDM 시스템의 성능 분석을 위해 실제 측정된 채널 데이터를 사용한 수중 채널 모델을 기반으로 OFDM 파라미터들을 설정하였다. 또한, 선형 보간법을 이용한 least square (LS) 채널 추정기법을 이용하여 채널의 상태 정보를 획득하였다. Alamouti code를 이용한 space-time block code (STBC) 및 space-frequency blcok code (SFBC)를 적용하여 그 성능을 평가 및 분석 하였으며, 동시에 $1{\times}2$ maximum ratio combining (MRC)을 적용하여 성능을 비교 분석한 결과, SFBC의 경우 수중 채널의 심각한 주파수 선택적 특성으로 인하여 유효한 BER 특성을 보이지 못하였으나, STBC의 경우 4-column 파일럿 구조를 적용하였을 때, SISO 시스템과 비교하여 약 7dB 정도의 향상된 성능을 나타내고 있음을 확인하였다.

• 한국통신학회논문지
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• 제30권12A호
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• pp.1174-1182
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• 2005

본 논문에서는 고속의 데이터 전송률(110Mbps${\~}$480Mbps)을 갖는 WPAN을 위해 IEEE802.15 TG3a의 표준안 중 하나로 제안된 MB-OFDM(Multi-Band OFDM) 시스템을 위한 새로운 채별 추정 기법을 제안한다. 제안한 추정기법은 타이밍 동기 등을 위해서 제시하고 있는 PS(Packet Synchronization)신호의 상관특성을 사용한 것으로 기존 LS(Least Square) 기반의 채널 추정 방법에 비해 잡음의 영향을 줄일 수 있는 장점이 있으며 채널 추정을 위해 만들어진 CE(Channel Estimation)신호를 사용하지 않아도 되기 때문에 프리엠블로 제시된 심볼의 수를 줄일 수 있는 장점이 있다. 성능분석을 위해 IEEE802.15 TG3a에서 제시하고 있는 S-V 채널하에서 기존의 방법과 제안한 채널추정 방법을 컴퓨터 모의실험 하였으며 그 결과 Eb/N0에서 약 1${\~}$1.5dB 정도의 성능을 향상시킬 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.178-203
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• 2018

In this paper, authors have been evaluated the Frame Error Rate (FER) performance of IEEE 802.11 a/g/p standard 5 GHz frequency band WLAN over Rayleigh and Rician distributed fading channels in presence of Additive White Gaussian Noise (AWGN). Orthogonal Frequency Division Multiplexing (OFDM) based transceiver is implemented by using real-time signal processing frameworks (IEEE 802.11 Blocks) in GNU Radio Companion (GRC) and Ettus USRP N200 is used to process the symbol over the wireless radio channel. The FER is calculated for each sub-carrier conventional modulation schemes used by OFDM such as BPSK, QPSK, 16, 64-QAM with different punctuated coding rates. More precise SNR is computed by modifying the SNR calculation process of YANS and NIST error rate model to estimate more accurate FER. Here, real-time signal constellations, OFDM signal spectrums etc. are also observed to find the effect of multipath propagation of signals through flat and frequency selective fading channels. To reduce the error rate due to the multipath fading effect and Doppler shifting, channel estimation (CE) and equalization techniques such as Least Square (LS) and training based adaptive Least Mean Square (LMS) algorithm are applied in the receiver. The simulation work is practically verified at GRC by turning into a pair of Software Define Radio (SDR) as a simultaneous transceiver.

• 한국정보통신학회논문지
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• 제15권1호
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• pp.22-32
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• 2011

본 논문에서는 수중 통신 환경에서의 Orthogonal Frequency Division Multiplexing (OFDM) 시스템과 지상에서의 일반적인 OFDM 시스템과의 차이점을 분석하고, 실제 측정된 채널 데이터를 사용한 수중 채널 모델을 기반으로 OFDM 파라미터들을 설정하였다. 또한, 선형 보간법을 이용한 least square (LS) 채널 추정기법을 이용하여 채널의 상태 정보를 획득하였다. Alamouti code를 이용한 space-time block code (STBC) 및 space-frequency blcok code (SFBC)를 적용하여 그 성능을 평가 및 분석 하였으며, 동시에 $1{\times}2$ maximum ratio combining (MRC)을 적용하여 성능을 비교 분석 한 결과, SFBC의 경우 수중 채널의 심각한 주파수 선택적 특성으로 인하여 유효한 BER 특성을 보이지 못하였으나, STBC의 경우 4-column 파일럿 구조를 적용하였을 때, SISO 시스템과 비교하여 약 7dB 정도의 향상된 성능을 나타내고 있음을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제18권6호
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• pp.81-89
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• 2013

현재 인터넷 쇼핑은 중국인들의 일반적인 소비채널이 되고 있으며 앞으로도 지속적으로 성장할 가능성이 매우 높다. 중국의 인터넷 쇼핑몰 시장이 급속히 성장하고 있음에도 불구하고 중국인의 고객만족도에 맞는 인터넷 쇼핑몰은 많지 않다. 한국의 인터넷 쇼핑몰 업체들이 쇼핑몰에 대한 품질평가와 고객만족도를 분석하여 중국 유학생들의 성향에 맞는 쇼핑몰을 구축한다면 국제 경쟁력을 강화시킬 수 있을 것이다. 본 논문에서는 중국 유학생들과 한국 대학생들의 인터넷 쇼핑몰 고객만족도에 대해 비교 분석하여 어떠한 차이가 있는지 분석하고 전역적 최적의 해를 구하는 다중 LS-SVM을 이용하여 중국 유학생들의 고객만족도 모형을 분석한다. 중국 유학생들의 고객만족도 분석은 한국 인터넷 쇼핑몰 업체들에게 유익한 정보로서 활용될 수 있을 뿐 아니라 국제 경쟁력을 강화할 수 있는 방안이 될 것이다.

• ETRI Journal
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• 제28권5호
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• pp.688-691
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• 2006

This letter addresses the superimposed pilot aided multiuser channel estimation for the uplinks of multi-input multi-output orthogonal frequency-division multiplexing systems. To mitigate the embedded-data effects on the performance of channel estimation, a novel combining algorithm is proposed. Optimal pilot symbols are developed with respect to the least square channel estimate's mean square error. The averaged sum-capacity lower bound is derived and simulated. Simulation results show that on a low signal-to-noise ratio regime, our proposed scheme achieves better performance and higher capacity than the conventional pilot aided approach.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.1029-1042
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• 2017

A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.69-72
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• 1999

In this paper, an efficient time domain equalization algorithm for discrete wavelet multitone(DWMT) data transmission is developed. In this algorithm, the time domain equalizer(TEQ) consists of two stages, i.e., the channel impulse response shortening equalizer(TEQ-S) in the first stage and the channel frequency flattening equalizer(TEQ-F) in the second stage. TEQ-S reduces the length of transmission channel impulse response to decrease intersymbol interference(ISI) followed by TEQ-F that enhances the channel frequency response characteristics to the level of an ideal channel, hence diminishes the bit error rate. TEQ-S is implemented using the least-squares(LS) method, while TEQ-F is designed by using the least mean-square(LMS) algorithm. Since DWMT system also requires of the frequency domain equalizer in order to further reduce ICI and ISI the hardware complexity is an another concern. However, by adopting an well designed and trained TEQ, the hardware complexity of the whole DWMT system can be greatly reduced.

• 제어로봇시스템학회논문지
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• 제14권5호
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• pp.415-419
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• 2008

Detecting and correcting defects on LCD glasses early in the manufacturing process becomes important for panel makers to reduce the manufacturing costs and to improve productivity. Many attempts have been made and were successfully applied to detect and identify simple defects such as scratches, dents, and foreign objects on glasses. However, it is still difficult to robustly detect low-contrast defect region, called Mura or blemish area on glasses. Typically, these defect areas are roughly defined as relatively large, several millimeters of diameter, and relatively dark and/or bright region of low Signal-to-Noise Ratio (SNR) against background of low-frequency signal. The aim of this article is to present a robust algorithm to segment these blemish defects. Early 90's, a highly robust estimator, known as the Model-Fitting (MF) estimator was developed by X. Zhuang et. al. and have been successfully used in many computer vision application. Compared to the conventional Least-Square (LS) estimator the MF estimator can successfully estimate model parameters from a dataset of contaminated Gaussian mixture. Such a noise model is defined as a regular white Gaussian noise model with probability $1-\varepsilon$ plus an outlier process with probability $varepsilon$. In the sense of robust estimation, the blemish defect in images can be considered as being a group of outliers in the process of estimating image background model parameters. The algorithm developed in this paper uses a modified MF estimator to robustly estimate the background model and as a by-product to segment the blemish defects, the outliers.