• Title/Summary/Keyword: 신호가설

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Performance of an ML Modulation Classification of QAM Signals with Single-Sample Observation (단일표본관측을 이용한 직교진폭변조 신호의 치운 변조분류 성능)

  • Kang Seog Geun
    • The KIPS Transactions:PartC
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    • v.12C no.1 s.97
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    • pp.63-68
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    • 2005
  • In this paper, performance of a maximum-likelihood modulation classification for quadrature amplitude modulation (QAM) is studied. Unlike previous works, the relative classification performance with respect to the available modulations and performance limit with single-sample observation are presented. For those purposes, all constellations are set to have the same minimum Euclidean distance between symbols so that a smaller constellation is a subset of the larger ones. And only one sample of received waveform is used for multiple hypothesis test. As a result, classification performance is improved with increase in signal-to-noise ratio in all the experiments. Especially, when the true modulation format used in the transmitter is 4 QAM, almost perfect classification can be achieved without any additional information or observation samples. Though the possibility of false classification due to the symbols shared by subset constellations always exists, correct classification ratio of $80{\%}$ can be obtained with the single-sample observation when the true modulation formats are 16 and 64 QAM.

Absolute phase identification algorithm in a white light interferometer using a cross-correlation of fringe scans (백색광 간섭기에서 간섭 무늬의 상호 상관관계 함수를 이용한 절대 위상 측정 알고리즘)

  • Kim, Jeong-Gon
    • Journal of Sensor Science and Technology
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    • v.9 no.4
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    • pp.316-326
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    • 2000
  • A new signal processing algorithm for white light interferometry has been proposed and investigated theoretically. The goal of the algorithm is to determine the absolute optical path length of an interferometer with very high precision (<< one optical wavelength). The algorithm features cross-correlation of interferometer fringe scans and hypothesis testing. The hypothesis test looks for a zero order fringe peak candidate about which the cross-correlation is symmetric minimizing the uncertainty of misidentification. The shot noise limited performance of the proposed signal processing algorithm has been analyzed using computer simulations. Simulation results were extrapolated to predict the misidentification rate at Signal to-Shot noise ratio (SNR) higher than 31 dB. Root-mean-square phase error between the computer-generated zero order fringe peak and the estimated zero order fringe peak has been calculated for the changes of three different parameters (SNR, fringe scan sampling rate, coherence length of light source). Results of computer simulations showed the ability of the proposed signal processing algorithm to identify the zero order fringe peak correctly. The proposed signal processing algorithm uses a software approach, which is potentially inexpensive, simple and fast.

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A Global Self-Position Localization in Wide Environments Using Gradual RANSAC Method (점진적 RANSAC 방법을 이용한 넓은 환경에서의 대역적 자기 위치 추정)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.4
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    • pp.345-353
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    • 2010
  • A general solution in global self-position location of robot is to generate multiple hypothesis in self-position of robot, which is to look for the most positive self-position by evaluating each hypothesis based on features of observed landmark. Markov Localization(ML) or Monte Carlo Localization(MCL) to be the existing typical method is to evaluate all pairs of landmark features and generated hypotheses, it can be said to be an optimal method in sufficiently calculating resources. But calculating quantities was proportional to the number of pairs to evaluate in general, so calculating quantities was piled up in wide environments in the presence of multiple pairs if using these methods. First of all, the positive and promising pairs is located and evaluated to solve this problem in this paper, and the newly locating method to make effective use of calculating time is proposed. As the basic method, it is used both RANSAC(RANdom SAmple Consensus) algorithm and preemption scheme to be efficiency method of RANSAC algorithm. The calculating quantity on each observation of robot can be suppressed below a certain values in the proposed method, and the high location performance can be determined by an experimental on verification.

The reliability analysis of Acoustic Emission(AE) testing for crack detectivity by sensors and materials (AE(음향방출) 검사 시 센서 및 재료에 따른 균열 검출능에 대한 신뢰성 분석)

  • Nam, Jun-Young;Lee, Sang-Yun;Hwang, Woong-Gi;Lee, Bo-Young
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.419-423
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    • 2011
  • Unlike other non-destructive inspection method, AE Structural defects that are likely to grow in the operation status can be detected, and the advantage of being due to the continuous monitoring of large structures has been widely used to evaluate the stability. AE sensor used to detect sound wave that occurs between 20kHz to 20MHz. and Sound wave result may vary depending on sensor's sensitivity. In this paper, Tensile test conducted on STS 304 and SS400, and tries to detect the crack signal. In tensile test, specimens were conducted using different sensor sensitivity to the same tensile test condition. The crack signal parameters divided into 4 types of communities by conducting cluster analysis. It was demonstrated that crack signal of two sensor is not different by statistical analysis of null hypotheses. Based on the results, waveform of this tension test is crack signal.

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교량의 설계 및 해석

  • 이희현
    • Computational Structural Engineering
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    • v.5 no.1
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    • pp.11-14
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    • 1992
  • 최근 교량공학자들의 공통관심사는 초대형 구조물을 가설하고, 적절한 유지관리에 의해 기존 구조물의 공용수명을 연장시키는 것 등을 들 수 있다. 고성능 컴퓨터 산업의 발달로 인한 구조해석의 정밀화, 경량골재 및 고강도 재료의 개발, 용접성과 시공법의 발달 및 초대형 크레인과 같은 건설기자재의 개발 등으로 인하여 초대형 구조물의 가설은 외국에서 뿐만 아니라 국내에서도 가능하게 되었다. 그리고 구조물의 공용수명을 연장하기 위해서 최근에는 첨단계측장비와 신호처리기술, 신뢰성이론, 피로파괴이론 및 system identification technique 등의 발달로 인해 비교적 정확하게 교량구조물의 손상부위와 손상정도의 파악이 가능하게 되었다. 그리하여 가까운 시일내에 100년 이상의 공용수명을 갖는 초대형 교량이 출현될 것으로 전망된다. 따라서 교량 공학자들은 앞으로 장대교량의 설계와 시공 및 유지관리의 완전 국산화를 위한 연구에 더욱 박차를 가해야 할 것이다.

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Relationships between Emotional Intelligence and Job Performance of Sales Representatives: Mediating Effects of Self-efficacy and Moderating Effects of Person-supervisor Fit (영업사원의 감성지능이 직무성과에 미치는 영향: 자기효능감의 매개효과와 개인-상사 적합성의 조절효과)

  • Jin, Xian;Shin, Ho-Chul
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.350-363
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    • 2016
  • The purpose of this study was to examine the relationships between emotional intelligence and job performance. Also, the study explore the effects of self-efficacy as a mediating variable and person-supervisor fit as a moderating variable on the mentioned relationships. In order to verify the assumptions related to this research, a survey of 173 sales representatives working in various organizations was conducted. Survey results supported the assumption that higher emotional intelligence resulted in higher job performance. And another assumption that job performance could be predicted more precisely through mediating effect of self-efficacy. Finally, results revealed that the relationships between emotional intelligence and self-efficacy became stronger when the scores of person-supervisor fit were higher. Theoretical and practical implication were reviewed and limitations of the study and suggestions for future research were discussed.

Noise Removal Using Complex Wavelet and Bernoulli-Gaussian Model (복소수 웨이블릿과 베르누이-가우스 모델을 이용한 잡음 제거)

  • Eom Il-Kyu;Kim Yoo-Shin
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.5 s.311
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    • pp.52-61
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    • 2006
  • Orthogonal wavelet tansform which is generally used in image and signal processing applications has limited performance because of lack of shift invariance and low directional selectivity. To overcome these demerits complex wavelet transform has been proposed. In this paper, we present an efficient image denoising method using dual-tree complex wavelet transform and Bernoulli-Gauss prior model. In estimating hyper-parameters for Bernoulli-Gaussian model, we present two simple and non-iterative methods. We use hypothesis-testing technique in order to estimate the mixing parameter, Bernoulli random variable. Based on the estimated mixing parameter, variance for clean signal is obtained by using maximum generalized marginal likelihood (MGML) estimator. We simulate our denoising method using dual-tree complex wavelet and compare our algorithm to well blown denoising schemes. Experimental results show that the proposed method can generate good denoising results for high frequency image with low computational cost.

신주공모발행(新株公募發行)에서의 인수기관선정(引受機關選定) 및 인수조건(引受條件) 선정방식(選定方式)에 관한 실증연구(實證硏究) - 미국의 공익기업(公益企業)을 대상으로 -

  • Yeon, Kang-Heum
    • The Korean Journal of Financial Management
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    • v.14 no.1
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    • pp.219-247
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    • 1997
  • 우리나라에서는 그 동안 유상증자(有償增資)시 주주배정(株主配定)(right offer)방식에 의하고 기업공개시의 발행가격도 일률적으로 산정(算定)되어 증권인수(證券引受)에 따른 인수기관(引受機關)(underwriter)의 역할이 제한되어 왔으나 앞으로는 증권발행방식이 다양화되어 발행가격의 결정을 포함한 인수기관의 역할이 강조될 것이다. 대부분 총액인수(總額引受)(firm commitment underwriting)방식을 택하는 미국자본시장에서 인수기관을 선정하고 발행조건들을 결정하는 방법에는 투자은행과의 협의(協議)(negotiation)에 의하는 방식과 비공개경쟁입찰(非公開競爭入札)(sealed bidding)에 의하는 방식이 있는데 많은 기업들은 상대적으로 비용이 많이 드는 협의발행을 선택한다. 본 연구에서는 이에 대한 가설들을 뉴욕증권거래소나 아메리칸증권거래소에서 거래되는 공익기업의 신주발행자료를 통해 실증 검정했다. 인수 스프레드(underwriting spread)는 발행금액에 관계없이 협의발행(協議發行)이 경쟁발행(競爭發行)보다 평균적으로 1.16% 높았으며 발행비용(發行費用)도 협의발행이 유의적인 수준에서 0.341% 정도 높았다. 비대칭정보하에서 신호균형(信號均衡)(signaling equilibrium)으로 설명할 수 없지만 협의발행에 의한 통합균형(統合均衡)(pooling equilibrium)의 가능성은 배제하지 못했다. 주식발행 발표일(發表日)(announcement date)을 전후해 인수방식에 따른 주가변동의 차이를 분석한 결과 대리인가설(代理人假說)은 부분적으로 지지했다. 발행일(發行日)(offering date)을 전후한 주가변동에 의하면 인수기관의 사전매각노력(事前賣却努力)이 협의발행하에서 더 높았으나 발행일 직후의 주가회복은 보이지 않아 인수방식에 따른 가격안정화(價格安定化) 노력의 차이는 없었다. 발행기업들간의 주가차별화의 정도를 분석한 결과 협의발행에서 인회활동(認淮活動) (certification effects)을 더 잘 할 수 있다는 사실을 지지하지 못했다.

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Multiple-Hypothesis RAIM Algorithm with an RRAIM Concept (RRAIM 기법을 활용한 다중 가설 사용자 무결성 감시 알고리듬)

  • Yun, Ho;Kee, Changdon
    • Journal of Advanced Navigation Technology
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    • v.16 no.4
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    • pp.593-601
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    • 2012
  • This paper develops and analyzes a new multiple-hypothesis Receiver Autonomous Integrity Monitoring (RAIM) algorithm as a candidate for future standard architecture. The proposed algorithm can handle simultaneous multiple failures as well as a single failure. It uses measurement residuals and satellite observation matrices of several consecutive epochs for Failure Detection and Exclusion (FDE). The proposed algorithm redueces the Minimum Detectable Bias (MDB) via the Relative RAIM (RRAIM) scheme. Simulation results show that the proposed algorithm can detect and filter out multiple failures in tens of meters.

The Joint Determination of Leverage and Debt Maturity (레버리지와 부채만기 결정의 상호관계)

  • Kim, Chi-Soo;Kwon, Kyeung-Taek
    • The Korean Journal of Financial Management
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    • v.22 no.1
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    • pp.1-36
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    • 2005
  • In this study, we analyzed determinant factors of leverage ratio and debt maturity for Korean firms in the simultaneous equation system using 2SLS (two stage least square) method under assumption that two variables are jointly determined in the capital structure decision. As a result of the analysis, we found that leverage ratio and debt maturity are positively related. Also, as for determinant factors of debt maturity, agency cost hypothesis, asset maturity matching hypothesis, signalling and liquidity risk hypothesis are all generally supported, and further leverage ratio are significantly positively related with firm size, but negatively related with default risk. However, when we divided samples into groups according to bank debt level and Chaebul affiliation, with contrast to existing study which worked on similar issues with OLS, we found no evidence supporting the argument that the information asymmetry problem is less severe in firms with more bank debt, whereas information asymmetry and financial constraint problems are more severe in non-Chaebul affiliated firms.

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