• 한국위성정보통신학회논문지
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• 제8권2호
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• pp.62-67
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• 2013

최근 위성항법장치를 활용한 GPS(Global Positioning System)를 통해 위성에서 보내는 위치정보를 이용하여 사용자에게 다양한 서비스를 제공하는 위치기반서비스가 이뤄지고 있다. 하지만 위성신호의 특성상 고층 건물이 밀집되어 있는 도심과 같은 지역에서는 반사, 굴절로 인해 오차를 가진 위치정보를 얻게 된다. 본 연구과제는 GPS 위치신호 오차를 보정하기 위해 사용자의 이동방향 정보의 방향벡터를 계산하여 분산된 위치좌표를 방향벡터 위로 보정하는 후처리 알고리즘을 제안하고자 한다. 도심지역에서의 차량주행 실험을 통하여 기존 GPS 보다 평균 11.1m(43%)의 정확도 향상을 통하여 제안한 후처리 알고리즘의 우수성을 입증하였다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권5호
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• pp.649-657
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• 2014

In this study, the effects of the frequency-dependent characteristics of through-silicon vias (TSVs) on the performance of 3D ICs are examined by evaluating a typical interconnection structure, which is composed of 32-nm CMOS inverter drivers and receivers connected through TSVs. The frequency-domain model of TSVs is extracted in S-parameter from a 3D electromagnetic (EM) method, where the dimensional variation effect of TSVs can be accurately considered for a comprehensive parameter sweep simulation. A parametric analysis shows that the propagation delay increases with the diameter and height of the TSVs but decreases with the pitch and liner thickness. We also investigate the crosstalk effect between TSVs by testing different signaling conditions. From the simulations, the worst signal integrity is observed when the signal experiences a simultaneously coupled transition in the opposite direction from the aggressor lines. Simulation results for nine-TSV bundles having regular and staggered patterns reveal that the proposed method can characterize TSV-based 3D interconnections of any dimensions and patterns.

• ETRI Journal
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• 제20권2호
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• pp.133-148
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• 1998

The objective of this paper is to present an adaptive algorithm for computing the weight vector which provides a beam pattern having its maximum gain along the direction of the mobile target signal source in the presence of interfering signals within a cell. The conjugate gradient method (CGM) is modified in such a way that the suboptimal weight vector is produced with the computational load of O(16N), which has been found to be small enough for the real-time processing of signals in most land mobile communications with the digital signal processor (DSP) off the shelf, where N denotes the number of antenna elements of the array. The adaptive procedure proposed in this paper is applied to code division multiple access (CDMA) mobile communication system to show its excellent performance in terms of signal to interference plus noise ratio (SINR), bit error rate (BER), and capacity, which are enhanced by about 7 dB, ${\frac{1}{100}}$ times, and 7 times, respectively, when the number of antenna elements is 6 and the processing gain is 20 dB.

• 한국산업융합학회 논문집
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• 제23권2_1호
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• pp.125-137
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• 2020

Tracking micro-sized insects is one of the challenges of protecting ecosystems and biodiversity. In this study, we propose an approach for the autonomous tracking of micro-sized flying insects, and develop an unmanned aerial vehicle (UAV)-based robotic system. The Kalman filter is applied to the received signal strength emitted from radio telemetry to estimate the position while reducing the measurement error and noise. The autonomous tracking strategy is a method in which the UAV rotates at one point to measure the signal strength and control its position in the strongest direction of the signal. We also design a system architecture comprising a tracking sensor system and a UAV system for micro-sized insects. The estimation and autonomous tracking of the target position by the proposed system are verified and evaluated through dynamic simulation. Therefore, in this study, we propose and validate a UAV-based tracking system for micro-sized flying insects, which has not been proposed in studies conducted thus far.

• 한국ITS학회 논문지
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• 제8권5호
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• pp.57-70
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• 2009

교통여건의 변화로 좌 우회전, 중앙버스 및 자전거 전용신호에 대한 요구가 증대되고 있다. 그러나 현재 운영되고 있는 표준규격 교통신호제어기는 4색등화기를 기반으로 하고 있어, 3색등화기의 방향별 차종별 전용신호를 운영하는 데 제약이 있다. 따라서 본 연구는 기존 표준 교통신호제어기에서 좌 우회전 및 중앙버스의 전용신호를 제어할 수 있는 물리적 소프트웨어적인 방안을 제시하였다. 물리적으로 보행 적, 보행 녹, 적, 황, 화살표 및 녹색등화의 6개 출력단자로 설계된 4색등화기의 신호등구동장치(LSU)를 적, 황, 녹색의 3개 씩 2단 배열로 그룹화 하여, 3색등화기의 전용신호로 사용하는 방안을 제시하였다. 소프트웨어적으로 신호 맵 데이터의 코드값을 3색등화기의 적1 황1 녹1 적2 황2 녹색2의 LSU 출력에 맞게 설정하여, 링별(A/B링) LSU별로 전용신호를 스텝별로 구동하는 방안을 제안하였다. 전용신호 도입 시의 운영효과를 중앙버스전용차로가 운영되고, 좌회전이 허용되는 서울시 망우역교차로를 대상으로 분석한 결과 버스전용차로가 운영되고 있는 주도로(동-서)에서 지체가 크게 개선되어 교차로 전체의 지체시간이 70초/대 이상 개선되는 것으로 분석되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권10호
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• pp.3439-3457
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• 2014

Clustering is an effective method for improving the performance of large scale mobile ad hoc networks. However, when the moving speed is very fast, the topology changes quickly, which leads to frequent cluster topology updates. The drastically increasing control overheads severely threaten the throughput of the network. SCBCS (Signal Characteristic Based Cluster Scheme) is proposed as a method to potentially reduce the control overheads caused by cluster formation and maintenance in aeronautical ad hoc networks. Each node periodically broadcasts Hello packets. The Hello packets can be replaced by data packets, which preserve bandwidth. The characteristics of the received packets, such as the Doppler shift and the power of two successive Hello packets, help to calculate the relative speed and direction of motion. Then, the link connection lifetime is estimated by the relative speed and direction of motion. In the clustering formation procedure, the node with the longest estimated link connection time to its one-hop neighbors is chosen as the cluster head. In the cluster maintenance procedure, re-affiliation and re-clustering schemes are designed to keep the clusters more stable. The re-clustering phenomenon is reduced by limiting the ripple effect. Simulations have shown that SCBCS prolongs the link connection lifetime and the cluster lifetime, which can reduce the topology update overheads in highly dynamic aeronautical ad hoc networks.

• Smart Structures and Systems
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• 제3권2호
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• pp.201-217
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• 2007

An active damage detection technique is introduced to locate damage in an isotropic plate using Lamb waves. This technique uses a time-domain energy model of Lamb waves in plates that the wave amplitude inversely decays with the propagation distance along a ray direction. Accordingly the damage localization is formulated as a least-squares problem to minimize an error function between the model and the measured data. An active sensing system with integrated actuators/sensors is controlled to excite/receive $A_0$ mode of Lamb waves in the plate. Scattered wave signals from the damage can be obtained by subtracting the baseline signal of the undamaged plate from the recorded signal of the damaged plate. In the experimental study, after collecting the scattered wave signals, a discrete wavelet transform (DWT) is employed to extract the first scattered wave pack from the damage, then an iterative method is derived to solve the least-squares problem for locating the damage. Since this method does not rely on time-of-flight but wave energy measurement, it is more robust, reliable, and noise-tolerant. Both numerical and experimental examples are performed to verify the efficiency and accuracy of the method, and the results demonstrate that the estimated damage position stably converges to the targeted damage.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 추계종합학술대회논문집
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• pp.181-184
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• 2000

본 논문에서는 음성 특징추출의 한 방법으로서 기존의 방법들과는 달리 음성의 통계적인 특성들을 고려하여, 입력 공간내에서 변동량이 가장 많은 방향으로 주축을 발견한 다음 그 정보를 이용하여 데이터의 중복성을 제거하는 주성분 해석(PCA:Principal Component Analysis)기법을 사용하여 음성의 특징을 추출하는 방법을 제안한다. 본 논문의 숫자음 인식실험 결과와 비교하기 위하여 기존의 음성특징 파라메타인 Mel-Cepstrum과 비교하였을 때, 0.5%의 인식률 차이가 있었으나, 음성특징 추출시 기존의 파라메타에 비하여 비교적 짧은 시간에 구해지는 점과 데이터의 통계적 특성을 이용한 최적의 기저벡터를 이용한다면 단어나 문장 인식시에 보다 나은 인식률을 얻으리라 사료된다.

• 말소리와 음성과학
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• 제3권3호
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• pp.91-98
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• 2011

In this paper, a multi-channel speech enhancement method using the linearly constrained minimum variance (LCMV) algorithm and a variable learning rate control is proposed. To control the learning rate for adaptive filters of the LCMV algorithm, the direction of arrival (DOA) is measured for each short-time input signal and the likelihood function of the target speech presence is estimated to control the filter learning rate. Using the likelihood measure, the learning rate is increased during the pure noise interval and decreased during the target speech interval. To optimize the parameter of the mapping function between the likelihood value and the corresponding learning rate, an exhaustive search is performed using the Bark's scale distortion (BSD) as the performance index. Experimental results show that the proposed algorithm outperforms the conventional LCMV with fixed learning rate in the BSD by around 1.5 dB.

• 한국측량학회지
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• 제36권5호
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• pp.395-401
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• 2018

Recently, most of mobile devices are equipped with GNSS (Global Navigation Satellite System). When the GNSS signal is available, it is easy to obtain position information. However, GNSS is not suitable solution for indoor localization, since the signals are normally not reachable inside buildings. A wide varieties of technology have been developed as a solution for indoor localization such as Wi-Fi, beacons, and inertial sensor. With the increased sensor combinations in mobile devices, mobile devices also became feasible to provide a solution, which based on PDR (Pedestrian Dead Reckoning) method. In this study, we utilized the combination of three sensors equipped in mobile devices including accelerometer, digital compass, and gyroscope and applied three representative PDR methods. The proposed methods are done in three stages; step detection, step length estimation, and heading determination and the final indoor localization result was evaluated with terrestrial LiDAR (Light Detection And Ranging) data obtained in the same test site. By using terrestrial LiDAR data as reference ground truth for PDR in two differently designed experiments, the inaccuracy of PDR methods that could not be found by existing evaluation method could be revealed. The firstexperiment included extreme direction change and combined with similar pace size. Second experiment included smooth direction change and irregular step length. In using existing evaluation method which only checks traveled distance, The results of two experiments showed the mean percentage error of traveled distance estimation resulted from three different algorithms ranging from 0.028 % to 2.825% in the first experiment and 0.035% to 2.282% in second experiment, which makes it to be seen accurately estimated. However, by using the evaluation method utilizing terrestrial LiDAR data, the performance of PDR methods emerged to be inaccurate. In the firstexperiment, the RMSEs (Root Mean Square Errors) of x direction and y direction were 0.48 m and 0.41 m with combination of the best available algorithm. However, the RMSEs of x direction and y direction were 1.29 m and 3.13 m in the second experiment. The new evaluation result reveals that the PDR methods were not effective enough to find out exact pedestrian position information opposed to the result from existing evaluation method.