• 대한방사선기술학회지:방사선기술과학
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• 제27권2호
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• pp.21-27
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• 2004

본 연구에서는 현재 국내에서 사용되고 있는 여러 기종의 CT장치를 대상으로 하여 CT검사로 인한 방사선피폭 정도를 실험을 통하여 알아보고, 외국의 사례와 비교함으로써 CT장치의 성능관리의 하나인 피폭선량 기준 설정에 필요한 기초 데이터를 제시하고자 서울시 및 경기도에 위치한 병의원 및 종합병원에서 가동 중인 32대의 CT장치를 대상으로 CTDI값을 측정한 결과 다음과 같았다. 1) Head phantom의 100 mAs 당 $CTDI_W$값은 $8.1{\sim}19.1\;mGy$ 범위였고, 평균 $13.5{\pm}3.2\;mGy$였다. 그리고 body phantom의 $CTDI_W$값은 $3.7{\sim}10.9\;mGy$ 범위였고, 평균 $7.1{\pm}2.0\;mGy$였다. 2) Single detector CT와 multi detector CT의 $CTDI_W$값을 비교해 보면, multi detector CT가 single detector CT에 비해 head phantom에서는 평균 3.2 mGy(약 1.26배), body phantom에서는 평균 2.1 mGy(약 1.34배) 높았다. 3) Channel 수에 따른 $CTDI_W$값 비교에서는 head pahantom에서는 4 channel CT가 가장 높았으며, 8 channel CT, 16 channel CT, single detector CT순이었으며, body phantom에서는 역시 4 channel CT와 8 channel CT, 16 channel CT, single detector CT순이었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1343-1345
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• 2002

In this paper, we introduce the MC-CDMA (Multi-Carrier CDMA) system with MD (multi-detector). Due to unknown functional form of noise in wireless channel environments, it is not easy to design the detector through estimating the functional form of noise. Instead, we design the MD, which is constructed based on DGT (Data Grouping Technique) and quantiles estimated through RMSA (Robbins-Monro Stochastic Approximation) algorithm.

• 한국통신학회논문지
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• 제24권8A호
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• pp.1099-1106
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• 1999

본 논문에서는 다중사용자/다중경로 환경에서 다중반송파 CDMA 시스템의 오류확률을 해석적으로, 구하고, 다중 사용자, 다중반송파, 다중경로에 의한 간섭의 영향을 분석하였다. 또한 다중반송파 시스템에 대한 역상관 검출기(decorrelating detector)를 결합한 다중반송파/다중사용자/다중경로 결합 검출 방식을 제시하고 성능 및 역상관 과정에 의한 백색가우시안 잡음(AWGN)의 증가를 분석하였다. 제안한 결합 검출 방식의 오류 확률은 하나의 상용자만이 있는 경우의 이상적인 성능에 근접하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.215-218
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• 1998

This paper proposes a blind multi-user detector using Code-Constrained Minimum Variance (CCMV) method which directly detects the DS-CDMA signals in a multipath fading channel without estimating the channels. This algorithm reduces the complexity of computation by making a small size data matrix with the order of the channel length. Advantageously it requires to know the spreading code and the time delay of only the desired user.

• Nuclear Engineering and Technology
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• 제27권5호
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• pp.784-791
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• 1995

방사선계측에서는 방사선검출기(detector)로부터 나오는 pulse를 처리하는 데 있어서 pulse의 counting 손실이 발생한다. 이 손실을 최소화하거나 보상하기 위한 여러가지 방법들이 제시되어 왔으나, 아직도 절대적인 해답이 확립되지 않은 실정이다. 본 연구에서는 기 제시된 보상알고리즘들을 그 기능을 구현하는 전자회로와 함께 기술하고 특징을 분석하였다. 또한 본 연구를 통해 pulse의 counting손실을 보상하는 한가지 알고리즘 개선방향을 제시하였다.

• Journal of Communications and Networks
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• 제8권3호
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• pp.290-296
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• 2006

In this paper, a generalized blind adaptive algorithm is introduced for multi-user detection of direct sequence code division multiple access (OS-COMA) wireless communication systems. The main property of the proposed algorithm is its ability to resolve the multipath fading channel resulting in inter symbol interference (ISI) as well as multiple access interference (MAI). Other remarkable properties are its low complexity and mitigation to the near-far problem as well as its insensitivity to asynchronous transmission. The proposed system is based on the minimization of the output energy and convergence to the minimum mean square error (MMSE) detector. It is blind in the sense that it needs no knowledge of the other users' signatures, only the intended user signature and timing are required. Furthermore, the convergence of the minimum output energy (MOE) detector to the MMSE detector is analytically proven in case of M-ary PSK. Depicted results show that the performance of the generalized system dominates those previously considered. Further improvements are obtained when multiple input multiple output (MIMO) technique is employed.

• ETRI Journal
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• 제39권3호
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• pp.326-335
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• 2017

In the uplink transmission of massive (or large-scale) multi-input multi-output (MIMO) systems, large dimensional signal detection and its hardware design are challenging issues owing to the high computational complexity. In this paper, we propose low-complexity hardware architectures of Richardson iterative method-based massive MIMO detectors. We present two types of massive MIMO detectors, directly mapped (type1) and reformulated (type2) Richardson iterative methods. In the proposed Richardson method (type2), the matrix-by-matrix multiplications are reformulated to matrix-vector multiplications, thus reducing the computational complexity from $O(U^2)$ to O(U). Both massive MIMO detectors are implemented using a 65 nm CMOS process and compared in terms of detection performance under different channel conditions (high-mobility and flat fading channels). The hardware implementation results confirm that the proposed type1 Richardson method-based detector demonstrates up to 50% power savings over the proposed type2 detector under a flat fading channel. The type2 detector indicates a 37% power savings compared to the type1 under a high-mobility channel.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.161-162
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• 2008

In this paper we design an irregular low-density parity-check (LDPC) code for a multi-input multi-output (MIMO) system. The considered MIMO system is minimum mean square error soft-interference cancellation (MMSE-SIC) detector. The MMSE-SIC detector and the LDPC decoder exchange soft information and consist a turbo iterative detection and decoding receiver. Extrinsic information transfer (EXIT) charts are used to obtain the edge degree distribution of the irregular LDPC code which is optimized for the input-output transfer chart of the MMSE-SIC detector. It is shown that the performance of the designed LDPC code is much better than that of conventional LDPC code optimized for the AWGN channel.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.439-449
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• 2023

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5394-5409
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• 2019

The paper investigates a novel detector receiver with Kalman channel information estimator and iterative channel response equalization for MIMO (multi-input multi-output) OFDM (orthogonal frequency division multiplexing) communication systems in fast multipath fading environments. The performances of the existing linear equalizers (LE) are not good enough over most fast fading multipath channels. The existing adaptive equalizer with decision feedback structure (ADFE) can improve the performance of LE. But error-propagation effect seriously degrades the system performance of the ADFE, especially when operated in fast multipath fading environments. By considering the Kalman channel impulse response estimation for the fast fading multipath channels based on CE-BEM (complex exponential basis expansion) model, the paper proposes the iterative receiver with soft decision feedback equalization (SDFE) structure in the fast multipath fading environments. The proposed SDFE detector receiver combats the error-propagation effect for fast multipath fading channels and outperform the existing LE and ADFE. We demonstrate several simulations to confirm the ability of the proposed iterative receiver over the existing receivers.