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A Modified Switch-Mode Rectifier for Wide Range of Load Variations
Get PDFThe main objective of conventional SMR (i.e. shown in Fig.1) is to eliminate these problems so as to maintain unity pf, sinusoidal input current, constant dc voltage and restricted harmonic distortion based on IEEE std. To avoid the separate operation for discontinuous current mode (DCM) and continuous current mode (CCM), a mixed-mode operation [2] is proposed for wide-range of load variation. Since the ripple content on output capacitor voltage and harmonic contents in input ac current are prime concern, the authors [3] presented a robust technique to get rid of these problems
SPEECH RECOGNITION BASED EMBEDDED CONTROL SYSTEM
Get PDFThe purpose of this project is to operate or control Embedded system based on voice recognition, which helps to introduce hearing as well as Natural Language (NL) interface through Speech for the Human-Embedded system interaction. One of the important goals of pursued project is to introduce suitable user interface for novice user and the test plan is to design accordingly
MULTI-DEGREE SMOOTHER FOR LOW POWER TESTABLE DIGITAL SYSTEM DESIGN USING BS-LFSR AND SCAN-CHAIN ORDERING TECHNIQUES
Get PDFTesting of digital VLSI circuits entails many challenges as a consequence of rapid growth of semiconductor manufacturing technology and the unprecedented levels of design complexity and the gigahertz range of operating frequencies. These challenges include keeping the average and peak power dissipation and test application time within acceptable limits. This dissertation proposes techniques to addresses these challenges during test. The first proposed technique, called bit-swapping LFSR (BS-LFSR), uses new observations concerning the output sequence of an LFSR to design a low-transition test-pattern-generator (TPG) for test-per-clock built-in self-test (BIST) to achieve reduction in the overall switching activity in the circuit-under-test (CUT). The obtained results show up to 28% power reduction for the proposed design, and up-to 63% when it is combined with another established technique. The proposed BS-LFSR is then extended for use in test-per-scantest vectors show up to 60%reduction in average power consumption. The BS-LFSR is then extended further to act as a multi-degree smoother for test patterns generated by conventional LFSRs before applying them to the CUT. Experimental results show up to 55% reduction in average power. Another technique that aims to reduce peak power in scan-based BIST is presented. The new technique uses a two-phase scan-chain ordering algorithm to reduce average and peak power in scan and capture cycles. Experimental results show up to 65% and 55% reduction in average and peak power, respectively. Finally, a technique that aims to significantly increase the fault coverage in test-Per scan BIST, while keeping the test-application time short, is proposed. The results obtained show a significant improvement in fault coverage and test application time compared with other techniques
OPTIMIZATION OF THE PERFORMANCE OF THE WIND POWER GENERATION UNIT BY USING DIFFERENT NEURAL NETWORKS
Get PDFThe wind power generation is a pollution free technique for electricity production, and also it does not requires additional driving source like coal hence after installing once the generation cost can be minimize but the power generation by this method requires a continuous wind flow in all weather. Unfortunately the wind velocity is weather dependent and changes widely with time to time. This create difficulties in the system scheduling, dispatching & power distribution hence it requires a predictive system which can estimate the wind velocity in advance & so will help in power management. In this paper we analyzed RBF (radial basis function), FFBP (feed forward back propagation) & CFBP (cascade forward back propagation) neural networks for this purpose. At last the simulation results and discussion are presente
Complex Power Flow Sensitivity Index based Optimal Location and Tuning of Thyristor Controlled Series Capacitor using BAT Algorithm to enhance Line based Voltage Stability
Get PDFModern electric power utilities are facing many challenges due to increasing complexity in their operation and structure. In the recent times, one of the problems that got wide attention is the power system instabilities due to lack of new transmission facilities. Existing transmission facilities can be better utilized by installing Flexible AC Transmission System (FACTS) devices. The TCSC is the most effective FACTS device used to increase the power transferable capabilities of the transmission line. This paper presents a Sensitivity analysis based Complex Power Flow Sensitivity Index (CPSI) calculated for placing the TCSC at an appropriate location. Once the location to install the TCSC is determined, the optimal tuning of the TCSC is determined through BAT Algorithm. The BAT Algorithm is implemented on multi-criterion objective function to minimize total real power loss, total voltage magnitude deviations, the fuel cost of total real power generation and the branch loading to obtain the Optimal Power Flow. Simulations have been carried out in MATLAB software for the IEEE 57-bus system. The results have been taken for BAT Algorithm based Optimal Power Flow without and with TCSC. The results obtained with BAT Algorithm were compared with Genetic Algorithm (GA)
PERFORMANCE COMPARISON OF SPREAD SPECTRUM MODULATION FOR WIRELESS CHANNELS USING ANN – ASSISTED PSEUDO - NOISE SEQUENCE GENERATOR
Get PDFOne of the challenging issues in Spread-Spectrum Modulation (SSM) is the design of the Pseudo – Random or Pseudo - Noise (PN) sequence generator. Though several approaches are available that deals with the PN – sequence generator, there always exists the possibility of exploring the use of innovative methods through which shortcomings of the known techniques can be minimized and the performance of communication systems using SSM improved. This work is related to the use of Artificial Neural Network (ANN) for generation of the PN sequence during transmission and reception of a SSM based system. The benefit of the ANN - assisted PN generator shall be that it will simplify the design process of the PN - generator and yet provide high reliability against disruptions due to intentional disruptions and degradation of signal quality resulting out of variations in channel condition. The experiments carried out show that the ANN - assisted system is robust enough to deal with the unpredictability in the wireless channels and provide satisfactory performance under Gaussian and Rayleigh /Rician fading. The performance of the SSM system can be further enhanced by the use of coding. Hamming and cyclic redundancy check (CRC) codes have been used here with the data stream to explore if performance of the SSM system is improved further
A RAKE RECEIVER DESIGN FOR ULTRA WIDE BAND APPLICATION
Get PDFIn this paper, we describe the design and implementation of a rake receiver for use with ultra wide band (UWB) systems. The rake receiver uses spread spectrum modulation (SSM) aided by kasami sequence generator. The combination is found to be effective in dealing with multipath fading and signal to noise ratio. The design is initially simulated using MATLAB 7.10 and is implemented using a HDL coder. The design is also implemented in a FPGA kit and is found to be effective in interference mitigation as part of a CDMA framework
A NEW PARALLEL INTERFERENCE CANCELLATION ALGORITHM FOR RAKE SYSTEMS
Get PDFIn order to suppres the multi-path interference (MPI) in the DS CDMA system, a new RAKE receiver based on parallel interference elimination is first proposed in this paper data symbol tentative decision is obtained by linear decision; the multi-path interference are evaluated by tentative decision and known user information. Then the performance over Rayleigh fading channel are analyzed and compared to conventional parallel interference cancellation (PIC) and RAKE receiver. It is shown that RAKE receiver performance can be improved greatly by using this method with simple structure and easy implementation
REMOVAL OF GAUSSIAN AND IMPULSE NOISE IN THE COLOUR IMAGE PROGRESSION WITH FUZZY FILTERS
Get PDFThis paper is concerned with algebraic features based filtering technique, named as the adaptive statistical quality based filtering technique (ASQFT), is presented for removal of Impulse and Gaussian noise in corrupted colour images. A combination of these two filters also helps in eliminating a mixture of these two noises. One strong filtering step that should remove all noise at once would inevitably also remove a considerable amount of detail. Therefore, the noise is filtered step by step. In each step, noisy pixels are detected by the help of fuzzy rules, which are very useful for the processing of human knowledge where linguistic variables are used. The proposed filter is able to efficiently suppress both Gaussian noise and impulse noise, as well as mixed Gaussian impulse noise. The experiments shows that proposed method outperforms novel modern filters both visually and in terms of objective quality measures such as the mean absolute error (MAE), the peaksignal- to-noise ratio (PSNR) and the normalized color difference (NCD). The expectations filter achieves a promising performance
DESIGN OF ALU-64BIT FOR HIGH SPEED USING LOGICAL EFFORT
Get PDFLogical effort is the ratio of the input capacitance of a gate to the input capacitance of an inverter delivering the same output current.. Conventional methods use repetitive manual testing guided by Logical Effort (LE).In our work, we choose gate widths inside the circuit as parameters to be optimized in order to achieve the target delay, using LE.The main objective of the paper is to calculate the delay using VerilogHDL and synthesized the output driven by it by increasing the speed using optimized paths