• Title/Summary/Keyword: Data Matrix

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영과잉 경시적 가산자료 분석을 위한 허들모형 (Hurdle Model for Longitudinal Zero-Inflated Count Data Analysis)

  • 진익태;이근백
    • 응용통계연구
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    • 제27권6호
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    • pp.923-932
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    • 2014
  • 허들모형은 영이 과잉 가산자료를 분석하기 위해서 사용되어 왔다. 이 모형은 이산부분을 위한 로짓모형과 절삭된 가산부분을 위한 절삭된 포아송모형의 혼합모형이다. 이 논문에서 우리는 경시적 영과잉 가산자료를 분석하기 위해서 수정된 콜레스키 분해을 이용하여 일반적인 이분산성을 가지는 변량효과 공분산행렬을 제안한다. 수정된 콜레스키 분해는 변량효과 공분산행렬을 일반화자기상관 모수와 혁신분산모수로 분리되면, 이러한 모수들은 베이지안 일반화 선형모형을 통해 추정된다. 그리고 실제 자료분석을 통하여 설명한다.

역문제에 의한 구조물의 실동하중 해석 (Analysis of Practical Dynamic Force of Structure with Inverse Problem)

  • 송준혁;노홍길;김홍건;유효선;강희용;양성모
    • 한국공작기계학회논문집
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    • 제13권2호
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    • pp.75-80
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    • 2004
  • Vehicle structures are composed of many substructure connected to one another by various types of mechanical joints. In vehicle engineering it is important to study these connected structures under various dynamic forces for the evaluations of fatigue life and stress concentration exactly. It is difficult to obtain the accurate load history of specified positions because of the errors such as modeling, measurement and etc. In the beginning of design exact load data are actually necessary for the fatigue strength and life analysis to minimize the cost and time of designing. In this paper, the procedure of practical dynamic force determination is developed by the combination of the principal stresses of F. E. Analysis and experiment. Least square pseudo inverse matrix is adopted to obtain in inverse matrix of analyzed stresses matrix. The error minimization method utilizes the inaccurate measured error and the shifting error that the whole data is stiffed over real data. The least square criterion is adopted to avoid these non. Finally, to verify the proposed procedure, a bus is analyzed. This measurement and prediction technology can be extended to the structural modification of any geometric shape in complex structure.

궤환 제어를 이용한 모델 개선법 : 측정 센서 위치와 궤환 이득값 설정 (Model updating using the feedback exciter : The decision of sensor location & feedback gain)

  • 정훈상;박영진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.802-807
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    • 2002
  • The updating of FE model to match it with the experimental results needs the modal information. There are two cases where this methodology is ill-equip to deal with; under-determined and ill-conditioning problem. The feedback exciter that uses the summation of the white noise and the signals from the measurement sensors multiplied with feedback gains can deal with these problems as the new modal data from the closed loop system generate more constraints the updating parameters should obey. The new modal data from the closed loop system should be different to enhance the condition of the modal sensitivity matrix. In this research, a guide for the selection of the sensor locations and the decision of the corresponding output feedback gains is proposed. This method is based on the sensitivity of the modal data with respect to the feedback gains. Through the proper selection of the exciter and sensor locations and the feedback gain, the eigenvalue sensitivity of the updating parameters which cause the ill-conditioning of the modal sensitivity matrix can be modified and consequently the error contamination in updating parameters are reduced.

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Efficient Implementation of a Pseudorandom Sequence Generator for High-Speed Data Communications

  • Hwang, Soo-Yun;Park, Gi-Yoon;Kim, Dae-Ho;Jhang, Kyoung-Son
    • ETRI Journal
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    • 제32권2호
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    • pp.222-229
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    • 2010
  • A conventional pseudorandom sequence generator creates only 1 bit of data per clock cycle. Therefore, it may cause a delay in data communications. In this paper, we propose an efficient implementation method for a pseudorandom sequence generator with parallel outputs. By virtue of the simple matrix multiplications, we derive a well-organized recursive formula and realize a pseudorandom sequence generator with multiple outputs. Experimental results show that, although the total area of the proposed scheme is 3% to 13% larger than that of the existing scheme, our parallel architecture improves the throughput by 2, 4, and 6 times compared with the existing scheme based on a single output. In addition, we apply our approach to a $2{\times}2$ multiple input/multiple output (MIMO) detector targeting the 3rd Generation Partnership Project Long Term Evolution (3GPP LTE) system. Therefore, the throughput of the MIMO detector is significantly enhanced by parallel processing of data communications.

2차원 바코드를 위한 데이터 부호화 알고리즘 설계 (Design of Data Encoding Algorithm for a Two Dimensional Bar Code)

  • 전성구;김일환
    • 산업기술연구
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    • 제25권B호
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    • pp.171-174
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    • 2005
  • In this paper, we propose a new data encoding algorithm for a two-dimensional bar code system. In general, the one-dimensional bar code is just a key which can access detailed information to the host computer database. But the two-dimensional bar code is a new technology which can obtain high density information without access to the host computer database. We implemented the encoding algorithm for Data Matrix bar code which is the most widely used among the many kinds of two-dimensional bar codes in the field of marking using Digital Signal Processor (TMS320C31). The performance of the proposed algorithm is verified by comparing the imprinted symbols on the steel surfaces with the codes which are decoded by a bar code reader.

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Observer-based sampled-data controller of linear system for the wave energy converter

  • Koo, Geun-Bum;Park, Jin-Bae;Joo, Young-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권4호
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    • pp.275-279
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    • 2011
  • In this paper, an observer-based sampled-data controller of linear system is proposed for the wave energy converter. Based on the sampled-data observer, the controller is design. In the closed-loop system with controller, it obtains the norm inequality between the continuous-time state variable and the discrete-time one. Using the norm inequality, sufficient condition is derived for the asymptotic stability of the closed-loop system and formulated in terms of linear matrix inequality. Finally, the wave energy converter simulation is provided to verify the effectiveness of the proposed technique.

2차원 바코드를 위한 데이터 부호화 알고리즘 설계 (Design of Data Encoding Algorithm for the Two Dimensional Barcode)

  • 전성구;허남억;김일환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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    • pp.173-175
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    • 2005
  • In this paper, we propose a data encoding algorithm for two-dimensional barcode system. In general, one-dimensional barcode is just a key which can access detailed information to the host computer database. But the two-dimensional barcode is a new technology which can obtain high density information without access to the host computer database. We implemented encoding algorithm for Data Matrix Barcode which is the most widely used among the many kind of two-dimensional barcodes. And we marked to a real object using Digital Signal Processor(DSP) Marking System. The performance of proposed algorithm is verified through the result of marking work.

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A Novel Data Driver for Passive Matrix Organic Light-emitting Devices with High Gray Scale Images utilizing a High Uniform Current

  • Shin, Hong-Jae;Kwack, Kae-Dal;Kim, Tae-Whan
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.1398-1400
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    • 2005
  • A novel data driver for passive matrix organic lightemitting devices (PM-OLEDs) with high gray scale images was designed. The proposed circuit consisted of a main current bias circuit as well as sample & hold circuits in each channel of the data driver to compensate a current offset. These results indicate that a data driver designed by using the current offset compensation technique holds promise for poten tial applications in PM-OLED displays with high gray scale images.

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시변지연을 가지는 LPV시스템의 H 샘플데이타 제어 (H Sampled-Data Control of LPV Systems with Time-varying Delay)

  • 유아연;이상문
    • 전기학회논문지
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    • 제64권1호
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    • pp.121-127
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    • 2015
  • This paper considers the problem of sampled-data control for continuous linear parameter varying (LPV) systems. It is assumed that the sampling periods are arbitrarily varying but bounded. Based on the input delay approach, the sampled-data control LPV system is transformed into a continuous time-delay LPV system. Some less conservative stabilization results represented by LMI (Linear Matrix Inequality) are obtained by using the Lyapunov-Krasovskii functional method and the reciprocally combination approach. The proposed method for the designed gain matrix should guarantee asymptotic stability and a specified level of performance on the closed-loop hybrid system. Numerical examples are presented to demonstrate the effectiveness and the improvement of the proposed method.

네트워크 기반 이산 시간 제어 시스템의 최대 허용 지연 한계 및 실시간 스케줄링 기법에 관한 연구 (Maximum Allowable Delay Bounds and Real-time Scheduling Method of Networked Discrete-time Control Systems)

  • 김동성;최동혁
    • 제어로봇시스템학회논문지
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    • 제12권7호
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    • pp.719-727
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    • 2006
  • This paper proposes a new method to obtain a maximum allowable delay bound for a scheduling of networked discrete control systems and event-based scheduling method. The proposed method is formulated in terms of linear matrix inequalities and can give a much less conservative delay bound than the existing methods. A network scheduling method is presented based on the delay obtained through the proposed method, and it can adjust the sampling period to allocate same utilization to each control loop. The presented method can handle three types of data (sporadic, emergency data, periodic data and non real-time message) and guarantees real-time transmission of periodic and sporadic emergency data using modified EDF scheduling method.