• Journal of information and communication convergence engineering
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• 제13권3호
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• pp.152-158
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• 2015

We consider the problem of designing independently operating local quantizers at nodes in distributed estimation systems, where many spatially distributed sensor nodes measure a parameter of interest, quantize these measurements, and send the quantized data to a fusion node, which conducts the parameter estimation. Motivated by the discussion that the estimation accuracy can be improved by using the quantized data with a high probability of occurrence, we propose an iterative algorithm with a simple design rule that produces quantizers by searching boundary values with an increased likelihood. We prove that this design rule generates a considerably reduced interval for finding the next boundary values, yielding a low design complexity. We demonstrate through extensive simulations that the proposed algorithm achieves a significant performance gain with respect to traditional quantizer designs. A comparison with the recently published novel algorithms further illustrates the benefit of the proposed technique in terms of performance and design complexity.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.293-293
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• 2014

Over last decade InGaN alloy structures have become the one of the most promising materials among the numerous compound semiconductors for high efficiency light sources because of their direct band-gap and a wide spectral region (ultraviolet to infrared). The primary cause for the high quantum efficiency of the InGaN alloy in spite of high threading dislocation density caused by lattice misfit between GaN and sapphire substrate and severe built-in electric field of a few MV/cm due to the spontaneous and piezoelectric polarizations is generally known as the strong exciton localization trapped by lattice-parameter-scale In-N clusters in the random InGaN alloy. Nonetheless, violet-emitting (390 nm) conventional low-In-content InGaN/GaN multi-quantum wells (MQWs) show the degradation in internal quantum efficiency compared to blue-emitting (450 nm) MQWs owing higher In-content due to the less localization of carrier and the smaller band offset. We expected that an improvement of internal quantum efficiency in the violet region can be achieved by replacing the conventional low-In-content InGaN/GaN MQWs with ultra-thin, high-In-content (UTHI) InGaN/GaN MQWs because of better localization of carriers and smaller quantum-confined Stark effect (QCSE). We successfully obtain the UTHI InGaN/GaN MQWs grown via employing the GI technique by using the metal-organic chemical vapor deposition. In this work, 1 the optical and structural properties of the violet-light-emitting UTHI InGaN/GaN MQWs grown by employing the GI technique in comparison with conventional low-In-content InGaN/GaN MQWs were investigated. Stronger localization of carriers and smaller QCSE were observed in UTHI MQWs as a result of enlarged potential fluctuation and thinner QW thickness compared to those in conventional low-In-content MQWs. We hope that these strong carrier localization and reduced QCSE can turn the UTHI InGaN/GaN MQWs into an attractive candidate for high efficient violet emitter. Detailed structural and optical characteristics of UTHI InGaN/GaN MQWs compared to the conventional InGaN/GaN MQWs will be given.

• 한국구조물진단유지관리공학회 논문집
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• 제19권5호
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• pp.30-37
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• 2015

본 연구에서는 웨이블릿 변환을 적용한 시스템 감쇠비 평가에 있어서 고유주파수가 저주파 영역에 속하고, 비교적 높은 감쇠비를 갖는 응답신호에 대하여 웨이블릿 기저함수의 중심주파수 영향을 분석하고자 하였다. 이를 위하여 단일 모드로 구성된 신호와 일정 주파수를 이격시킨 분리 중첩 모드 신호 및 모드 주파수 성분을 근접시킨 인접 중첩 모드 신호에 대하여 수치해석으로 분석하고, H-Beam을 통한 실내실험을 수행하였다. 분석하고자 하는 모드의 고유주파수는 전체 스케일에 대한 대응 스케일로서 고려되고, 이러한 대응 스케일의 위치는 웨이블릿 기저함수의 중심주파수에 영향을 받게 된다. 따라서 각 모드의 고유주파수에 대응되는 스케일이 전체 스케일의 1/2에 위치되도록 웨이블릿 기저함수의 중심주파수가 선택될 때 감쇠비 평가에 대한 신뢰성이 향상 될 것이다.

• Smart Structures and Systems
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• 제21권6호
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• pp.741-749
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• 2018

Structural health monitoring (SHM) systems are necessary to achieve smart predictive maintenance and repair planning as well as they lead to a safe operation of mechanical structures. In the context of vibration-based SHM the measured structural responses are employed to draw conclusions about the structural integrity. This usually leads to a mathematically illposed inverse problem which needs regularization. The restriction of the solution set of this inverse problem by using prior information about the damage properties is advisable to obtain meaningful solutions. Compared to the undamaged state typically only a few local stiffness changes occur while the other areas remain unchanged. This change can be described by a sparse damage parameter vector. Such a sparse vector can be identified by employing $L_1$-regularization techniques. This paper presents a novel framework for damage parameter identification by combining sparse solution techniques with an Extended Kalman Filter. In order to ensure sparsity of the damage parameter vector the measurement equation is expanded by an additional nonlinear $L_1$-minimizing observation. This fictive measurement equation accomplishes stability of the Extended Kalman Filter and leads to a sparse estimation. For verification, a proof-of-concept example on a quadratic aluminum plate is presented.

• 전기전자학회논문지
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• 제22권3호
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• pp.558-564
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• 2018

In distributed estimation where each node can collect only partial information on the parameter of interest without communication between nodes and quantize it before transmission to a fusion node which conducts estimation of the parameter, we consider a novel quantization technique employed at local nodes. It should be noted that the performance can be greatly improved if each node can transmit its measurement to one designated node (namely, head node) which can quantize its estimate using the total rate available in the system. For this case, the best strategy at the head node would be simply to partition the parameter space using the generalized Lloyd algorithm, producing the global codewords, one of which is closest to the estimate is transmitted to a fusion node. In this paper, we propose an iterative design algorithm that seeks to efficiently assign the codewords into each of quantization partitions at nodes so as to achieve the performance close to that of the system with the head node. We show through extensive experiments that the proposed algorithm offers a performance improvement in rate-distortion perspective as compared with previous novel techniques.

• 한국통신학회논문지
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• 제35권5C호
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• pp.472-478
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• 2010

UWB 표준인 IEEE 802.15.3a 채널의 무선 통신 시스템 환경에서 채널에 적합하고 추정 정확도가 우수한 신호 도착 방향(AOA) 매개변수 추정 기반의 실내 무선 위치인식 알고리즘을 위한 평균가중 AOA 추정기법을 제안한다. AOA 매개 변수 추정을 위한 IEEE 802.15.3a 기반의 초광대역 신호 모형을 설정하고, 종래 추정 기법보다 추정 정확도가 우수한 평균가중 기반의 다중신호 분류 기법들을 제안한다. 컴퓨터 모의실험을 통해, IEEE 802.15.3a 채널이 포함한 실내 무선 위치인식 시스템 환경을 구축하고, 제안한 AOA 추정 방식을 통해 종래 방식 보다 우수한 추정 결과를 보인다.

• Structural Monitoring and Maintenance
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• 제9권2호
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• pp.107-127
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• 2022

Structural health monitoring (SHM) has been related to damage identification with either operational loads or other environmental loading playing a significant complimentary role in terms of structural safety. In this study, a non-parametric method of time frequency analysis on the measurement is used to address the time-frequency representation for modal parameter estimation and system damage identification of structure. The method employs the wavelet decomposition of dynamic data by using the modified complex Morlet wavelet with variable central frequency (MCMW+VCF). Through detail discussion on the selection of model parameter in wavelet analysis, the method is applied to study the dynamic response of both steel structure and reinforced concrete frame under white noise excitation as well as earthquake excitation from shaking table test. Application of the method to building earthquake response measurement is also examined. It is shown that by using the spectrogram generated from MCMW+VCF method, with suitable selected model parameter, one can clearly identify the time-varying modal frequency of the reinforced concrete structure under earthquake excitation. Discussions on the advantages and disadvantages of the method through field experiments are also presented.

• 한국음향학회지
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• 제37권6호
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• pp.437-442
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• 2018

본 논문에서는 환형배열을 이용하여 단일음원이 코히어런트 분산 분포를 가지는 경우 닫힌 형태로 음원의 위치를 추정하는 기법을 제안한다. 음원이 다중경로를 거쳐 센서에 도달하는 경우 분산음원으로 보이며 이때 음원의 위치는 대표 방위, 대표 고각, 대표 방위의 분포, 대표 고각의 분포 네 가지 변수로 표현될 수 있다. 이러한 경우 DSPE(Distributed Source Parameter Estimator) 기법과 같은 탐색 기법으로 네 변수를 찾기 위해서는 매우 많은 탐색과정을 필요로 한다. 본 논문에서는 빠른 위치 추정을 위해 센서간의 상관함수와 최소자승기법을 이용하여 닫힌 형식으로 대표 방위와 고각을 추정하는 기법을 제안한다. 특히 음원이 대표적인 분포 모델인 가우시안 분포를 따를 경우 방위와 고각의 표준편차 또한 닫힌 형식으로 추정한다. 시뮬레이션에서는 DSPE 기법과 비교하여 제안 기법의 타당성을 확인하였다.

• 한국습지학회지
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• 제21권spc호
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• pp.28-38
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• 2019

한반도의 기후변화는 전 세계 평균보다도 빠르게 진행되고 있다. 최근 빈발하고 있는 태풍 및 극한 강우, 폭설과 한파, 온난화 현상 등이 그 예이다. 특히 북한지역은 오랜 식량난과 에너지난 그리고 무분별한 산림벌목과 개발로 인해 산림생태계가 훼손되어 홍수 및 이수와 같은 기후변화 관련 자연재해에 매우 취약하다. 또한 북한지역은 정치적·사회적인 영향으로 미계측 지역으로 분류되어 있어 수문분석에 필요한 충분한 수문자료를 구하기 어려운 지역이다. 또한 기후변화에 대한 관심이 높아 지면서 각종 수리시설물 및 재해대책에 기후변화를 고려한 연구가 한반도를 대상으로 활발히 진행되고 있지만 북한을 대상으로 수행된 연구사례는 극히 드물다. 따라서 본 연구에서는 관측 수문자료를 획득하기 어려운 북한지역을 대상으로 지역화 모형을 적용기 위해 획득하기 쉬운 유역특성변수를 선정하고 남한의 16개 댐 유역의 기상학적, 지형적 특성을 기반으로 매개 변수 추정식을 산정하였다. 그리고 오십천, 강릉남대천, 남강댐, 영강유역에 적용하여 산정된 매개변수 추정식의 적용성을 검토한 결과 북한지역에 매개변수 추정식의 적용성이 매우 높을 것으로 판단되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.457-461
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• 2007

In many applications, received signal strength indicator is used for location tracking and sensor nodes localization. For location finding, the distances between sensor nodes can be estimated by converting received signal's power into distance using path loss prediction model. Many researches have done the analysis of power-distance relationship for radio channel characterization. In indoor environment, the general conclusion is the non-linear variation of RSSI values as distance varied linearly. This has been one of the difficulties for indoor localization. This paper presents works on indoor RSSI characterization based on statistical methods to find the overall trend of RSSI variation at different places and times within the same room From experiments, it has been shown that the variation of RSSI values can be determined by both spatial and temporal factors. This two factors are directly indicated by the two main parameters of path loss prediction model. The results show that all sensor nodes which are located at different places share the same characterization value for the temporal parameter whereas different values for the spatial parameters. Using this relationship, the characterization for location estimation can be more efficient and accurate.