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modified output error method

Modified Boundary Matching algorithm for Error detection and Error Concealment for Video Communication

Modified Boundary Matching algorithm for Error detection and Error Concealment for Video Communication

... and error correction in video processing have shown significant improvement day by ...the error occurs in a single frame, the visual quality of the subsequent frames gets degraded due to error ...the ...

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Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

... feasible method for computing entropy estimators using Renyi’s formulation when coupled with Parzen window density ...this method, they heuristically obtained a measure for mutual informa- ...recently ...

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Output Power Prediction Method of GEO Satellite Solar Array Based-on the Modified Equivalent Circuit Model

Output Power Prediction Method of GEO Satellite Solar Array Based-on the Modified Equivalent Circuit Model

... the output power prediction method of GEO satellite solar array based on the modified equivalent circuit ...the output power of the GEO satellite solar array, and compares the prediction value ...

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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED 
FOR HETEROGENEOUS ENVIRONMENT

A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT

... as output voltage ripple, settling time and load transient response of the converters has to be taken into ...more output voltage ...the output current non-pulsating hence suppressed voltage stress ...

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Accelerated convergence of numerical 
		solution to square plate bending problem

Accelerated convergence of numerical solution to square plate bending problem

... Let us calculate the solution to equations (7)–(8), (13)–(14) in uniform grid with the step ℎ = 1 180 ⁄ . The obtained solution is illustrated in Figure-2. The solution is symmetric with regard to the central point (0.5; ...

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Impact of controlling the sum of error probability in the sequential probability ratio test

Impact of controlling the sum of error probability in the sequential probability ratio test

... ized modified sequential procedure results in an average saving of at least 51% in the necessary number of observations as compared with the current most power- ful test having same strength ( α β , ...generalized ...

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Dynamic Modeling and Fuzzy Control for Solid Oxide Fuel Cell (SOFC)

Dynamic Modeling and Fuzzy Control for Solid Oxide Fuel Cell (SOFC)

... the error signal and change of error signal ...the output membership function for the control signal, whereas the universe of discourses is divided as Negative Big (NB), Negative Small (NS), Zero ...

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Development of STNN& its application to ECG Arrhythmia Classification &Diagnoses

Development of STNN& its application to ECG Arrhythmia Classification &Diagnoses

... the output from the 12 leads of ECG, which is obtained from an electrocardiograph, and temporal information from a particular lead ...The output of this model is that particular arrhythmia from which ...

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Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa

Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa

... tied output-credit or interlinked credit packages are another source of credit to farmers identified in [3, ...an output buyer or input seller that provides the input at the commencement of the season, and ...

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A new Mismatch cancelation for Quadrature Delta Sigma Modulator

A new Mismatch cancelation for Quadrature Delta Sigma Modulator

... DEM method and DWA algorithm are applied to the QDSM with 2% mismatch errors in DAC cells and compared two outputs PSD ...proposed method and DWA, respectively, while the proposed method is simpler ...

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Blast: A Tool for Error Analysis of Machine Translation Output

Blast: A Tool for Error Analysis of Machine Translation Output

... B LAST is a tool for human annotations of bilingual material. Its main purpose is error analysis for ma- chine translation. B LAST is designed for use in any MT evaluation project. It is not tied to the informa- ...

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Class error rates for evaluation of machine translation output

Class error rates for evaluation of machine translation output

... of error classification results for automatic evaluation of machine translation ...basic error classes are taken into account: morphological errors, syn- tactic (reordering) errors, missing words, ex- tra ...

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Speed Control of Smart Car using Fuzzy Logic Controller

Speed Control of Smart Car using Fuzzy Logic Controller

... ABSTRACT: The speed control system is one of the interesting terms in control system engineering. In this paper our target is to control and improve the performance of the speed of a smart car. To fulfill our desired aim ...

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Controlling of Two Wheeled Self Balancing Robot using PID

Controlling of Two Wheeled Self Balancing Robot using PID

... output is called error. The PID controller reduces the error to smallest value possible by adjusting the output. The MPU6050 reads the current tilt of the robot and feeds it to the PID ...

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Bit Error Detection and Correction with Hamming Code Algorithm

Bit Error Detection and Correction with Hamming Code Algorithm

... Data communication performed at any time does not always go well, sometimes also happens that his name error when transmitting data. The detection and correction of errors in data transmission requires special ...

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IMPLEMENTING FUZZY CONTROLLER FOR WIND TURBINE CONTROL FOR ALL WIND SPEEDS --WITH REDUCED FUZZY RULE SET.

IMPLEMENTING FUZZY CONTROLLER FOR WIND TURBINE CONTROL FOR ALL WIND SPEEDS --WITH REDUCED FUZZY RULE SET.

... of error is NB) then (output is PB ) 2. If (error is NM) or ( rate of change of error is NM) then (output is PM ) ...of error is Z) then (output is Z ) 4. If (error ...

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Finite Sample FPE and AIC Criteria for Autoregressive Model Order Selection Using Same-Realization Predictions

Finite Sample FPE and AIC Criteria for Autoregressive Model Order Selection Using Same-Realization Predictions

... prediction error by using the LSF method for estimation of the AR ...were modified. The modified FPE and AIC criteria were called FPEF and AICF, ...prediction error is less than that of ...

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Self-calibration method without joint iteration for distributed small satellite SAR systems

Self-calibration method without joint iteration for distributed small satellite SAR systems

... position error estimations of DSS-SAR systems. Based on the conven- tional method, a modified array error estimation method is proposed ...conventional method, the esti- mation ...

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Heuristic constraints enforcement for training of and rule extraction from a fuzzy/neural architecture - Part II: Implementation and application

Heuristic constraints enforcement for training of and rule extraction from a fuzzy/neural architecture - Part II: Implementation and application

... The final step is the incorporation of the enforcement into the training of the FZ/NN architecture. This can be performed in several ways. For example, the constraints can be enforced: 1) at each iteration of the ...

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Analyzing and Forecasting Admission data using Time Series Model

Analyzing and Forecasting Admission data using Time Series Model

... Problems that will be faced by higher education institutions, especially in the phase of new student admissions. Careful planning and strategies are needed in dealing with the process of admission of new students. The ...

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