Array based approximate arithmetic computing; a general model and applications to multiplier and squarer design
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I3E Technologies, #23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001. IEEE PROJECTS AVAILABLE, NON-IEEE PROJECTS AVAILABLE, APPLICATION BASED PROJECTS AVAILABLE, MINI-PROJECTS AVAILABLE. Mobile : 99436 99916, 99436 99926, 99436 99936 Mail ID: i3eprojectskarur@gmail.com Web: www.i3etechnologies.com, www.i3eprojects.com
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I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
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I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3eprojects.com
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This document summarizes simulations done for a thesis on energy management strategies to improve fuel efficiency for a hybrid truck. It examines three strategies - dynamic programming, equivalent consumption minimization strategy, and range extender - across two driving cycles using Matlab. The range extender approach was easiest to implement but least fuel efficient, while dynamic programming and equivalent consumption minimization strategy provided better results but require more complex control. Measurements could only be done for the range extender due to limitations in controlling the fuel cell power. Further work is recommended to improve fuel cell control and battery monitoring.
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The significant reduction in switch count of symmetrical/asymmetrical reduced switch count multilevel inverters (RSCMLI) topologies has modified the operation of inverter such that the conventional carrier-based pulse width modulation (PWM) schemes such as level-shifted PWM and phase-shifted PWM can no more realise them. To control these RSC-MLI topologies, reduced carrier PWM schemes with modified switching logic gained more prominence. These schemes involve suitable logical expressions to realise the switching states of the inverter. However, these logical expressions vary with topological arrangement and number of levels. Moreover, these schemes produce high total harmonic distortion (THD) in line-voltages. Therefore, to improve the line-voltage THD and generalise the switching logic, a modified reduced carrier PWM scheme with unified logical expressions is presented here. The proposed PWM scheme is directly valid for any topology and can be easily scalable to any number of levels in the inverters. To validate the implementation of the proposed PWM to control any RSC-MLI, experimental studies of various asymmetrical RSC-MLI topologies with the proposed PWM scheme are carried out. Further, to verify the superiority of the proposed scheme in terms of THD, complexity, scalability, and computation burden, its performance is compared with carrier-based PWM schemes reported in the literature.
Single-Stage Switched-Capacitor Module (S3CM) Topology for Cascaded Multileve...
A two-stage switched-capacitor based multilevel inverter possesses a drawback such that switches in the second stage (i.e. H-bridge) endure higher voltage stress. To resolve this problem, this letter proposes a single-stage switched-capacitor module (S3CM) topology for cascaded multilevel inverter which ensures the peak inverse voltage across all switches within the dc source voltage. Nine voltage levels can be generated with only one dc source and two incorporated capacitors. Hence, the number of isolated dc sources are significantly reduced compared to cascaded H-bridge. In addition, voltage boosting gain of two is achieved. A comparative analysis against the recent topology reveals that the proposed S3CM topology achieves switch count reduction. The operation of the proposed topology is validated through circuit analysis followed by experimental results of a single module (9-level) prototype.
Home appliance load modeling from aggregated smart meter data
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Home appliance load modeling from aggregated smart meter data
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Optimal Allocation of Capacitor Bank in Radial Distribution System using Anal...
In this paper, a novel analytical technique is proposed for optimal allocation of shunt capacitor bank in radial distribution system. An objective function is formulated to determine the optimal size, number and location of capacitor bank for real & reactive power loss reduction, voltage profile enhancement and annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC constant decides the candidate bus location and size. The achievability of the proposed method has been demonstrated on IEEE-69 bus and real distribution system of Jamawaramgarh, Jaipur city. The obtained results are compared with latest optimization techniques to show the effectiveness and robustness of the proposed technique.
VLSI projects 2014
The document discusses the design of an energy efficient carry save adder using asynchronous adiabatic logic. It first discusses existing work on using double pass transistor logic with asynchronous adiabatic logic to design an energy efficient full adder cell. It then proposes using a carry save adder which can add 3 n-bit numbers using only 2 numbers of additions, reducing delay and improving performance. The document discusses the design of a static energy recovery full adder cell and use of double pass transistor logic to avoid signal degradation. It also provides background on asynchronous adiabatic logic which aims to reduce power dissipation by reusing stored energy.
Introduction
This document discusses the design of an energy efficient full adder cell using double pass transistor asynchronous adiabatic logic (DPTAAL). It first provides background on asynchronous circuits and adiabatic logic for low power applications. It then describes an existing DPTAAL full adder cell design and proposes a new design that uses a carry save adder to reduce addition of 3 numbers to 2 numbers. The document concludes that the new asynchronous adiabatic full adder cell design consumes less energy than conventional logic designs for frequencies from 100-200MHz, confirming its feasibility for low power applications.
200 m hz flash adc
This summarizes a document describing a 6-bit 200MHz flash analog-to-digital converter (ADC) with redundancy. It uses small latched comparators and redundancy to reduce offset errors. Simulations show it achieves 5.3 effective number of bits, consumes 1.56mW of power, and has a figure of merit of 0.2 pJ/conversion step, making it suitable for applications requiring low power consumption. Redundancy allows selecting the closest comparator to the ideal threshold for each level, reducing offset effects.
Gs3511851192
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
2017 18 ieee vlsi titles,IEEE 2017-18 BULK NS2 PROJECTS TITLES,IEEE 2017-18...
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T04201162168Optimal Allocation of FACTS Device with Multiple Objectives Using...
In this paper Multi objective functions are simultaneously considered as the indexes of the system performance minimize total generation fuel cost and maximize system load-ability within system security margin. To find the optimal location and optimal value for Thyristor Controlled Series Compensator (TCSC) using optimization technique Genetic Algorithm (GA) to maximize system load-ability and minimize the system losses considering multi objectives optimization approach. A GA based Optimal Power Flow (OPF) is proposed to determine the type of FACTS (Flexible AC Transmission system) controllers, its optimal location and rating of the devices in power systems. The value of TCSC and line losses is applied as measure of power system performance. The type of FACTS controllers are used and modeled for steady-state studies: TCSC, minimize total generation fuel cost and maximize system load-ability within system security margin. Simulations will be carrying on IEEE30 bus power system for type of FACTS devices.
Optimal Capacitor Placement in Distribution System using Fuzzy Techniques
To improve the overall efficiency of power system,
the performance of distribution system must be improved. It
is done by installing shunt capacitors in radial distribution
system. The problem of capacitor allocation in electric
distribution systems involves maximizing “energy and peak
power (demand) loss reductions” by means of capacitor
installations. As a result power factor of distribution system
improves. There is also lots of saving in terms of money. A 10
bus radial distribution system is taken as the model. Then a
load flow programs is executed on MATLAB. Then by using
load flow data & fuzzy techniques the determination of suitable
location of capacitor placement and its size is done. Shunt
capacitors to be placed at the nodes of the system will be
represented as reactive power injections. Fuzzy techniques have
advantages of simplicity, less computations & fast results. The
same techniques can be applied to complex distribution systems
& dynamic loads.
Plan economico del 2017
This paper proposes a parameterized model order reduction technique for efficient global sensitivity analysis of coupled coils over a design space. It uses parameterized models of the electromagnetic matrices and Krylov matrices from the original and adjoint systems, derived using interpolation. Numerical results confirm the efficiency and accuracy of the proposed method for sensitivity analysis across the full design parameter space.
Plan economico
This paper proposes a parameterized model order reduction technique for efficient global sensitivity analysis of coupled coils over a design space. It uses parameterized models of the electromagnetic matrices and Krylov matrices from the original and adjoint systems, derived using interpolation. Numerical results confirm the efficiency and accuracy of the proposed method for sensitivity analysis across the entire design space of interest.
Plan economico
This paper presents a parameterized model order reduction technique for efficient global sensitivity analysis of coupled coils. It uses parameterized models of the electromagnetic matrices and Krylov matrices from the original and adjoint systems computed using PEEC. Numerical results on a model of two coupled coils confirm the accuracy and efficiency of the proposed method compared to existing techniques for sensitivity analysis over the entire design space.
Optimum reactive power compensation for distribution system using dolphin alg...
The distribution system represents the connection between the consumers and entire power network. The radial structure is preferred for distribution system due to its simple design and low cost. It suffers from problems of rising power losses higher than the transmission system and voltage drop. One of the important solutions to evolve the system voltage profile and to lower system losses is the reactive power compensation which is based on the optimum choice of position and capacitor size in the network. Different models of loads such as constant power (P), constant current (I), constant impedance (Z), and composite (ZIP) are implemented with comparisons among them in order to identify the most effective load type that produces the optimal settlement for minimization loss reduction, voltage profile enhancement and cost savings. Dolphin Optimization Algorithm (DOA) is applied for selecting the sizes and locations of capacitors. Two case studies (IEEE 16-bus and 33-bus) are employed to evaluate the different load models with optimal reactive power compensation. The results show that ZIP model is the best to produce the optimal solution for capacitors position and sizes. Comparison of results with literature works shows that DOA is the most robust among the other algorithms.
Energy consumption of vlsi decoders
The document discusses energy consumption of VLSI decoders. It shows that for any sequence of decoders with block error probability less than 1/2, the energy must scale at least as O(n(log n)^(1/2)), meaning the energy per bit must scale as O(log n)^(1/2). This implies the average energy per decoded bit approaches infinity as capacity is approached. The analysis is extended to show energy must scale at least as O(n log n) for any sequence of serial decoders with error probability less than 1/2. In general, energy must scale as O(n(log n)^(1/5)) when allowing output pins to vary with block length. An example is given
AHF_IDETC_2011_Jie
This paper explores the effectiveness of the recently devel- oped surrogate modeling method, the Adaptive Hybrid Functions (AHF), through its application to complex engineered systems design. The AHF is a hybrid surrogate modeling method that seeks to exploit the advantages of each component surrogate. In this paper, the AHF integrates three component surrogate mod- els: (i) the Radial Basis Functions (RBF), (ii) the Extended Ra- dial Basis Functions (E-RBF), and (iii) the Kriging model, by characterizing and evaluating the local measure of accuracy of each model. The AHF is applied to model complex engineer- ing systems and an economic system, namely: (i) wind farm de- sign; (ii) product family design (for universal electric motors); (iii) three-pane window design; and (iv) onshore wind farm cost estimation. We use three differing sampling techniques to inves- tigate their influence on the quality of the resulting surrogates. These sampling techniques are (i) Latin Hypercube Sampling
∗Doctoral Student, Multidisciplinary Design and Optimization Laboratory, Department of Mechanical, Aerospace and Nuclear Engineering, ASME student member.
†Distinguished Professor and Department Chair. Department of Mechanical and Aerospace Engineering, ASME Lifetime Fellow. Corresponding author.
‡Associate Professor, Department of Mechanical Aerospace and Nuclear En- gineering, ASME member (LHS), (ii) Sobol’s quasirandom sequence, and (iii) Hammers- ley Sequence Sampling (HSS). Cross-validation is used to evalu- ate the accuracy of the resulting surrogate models. As expected, the accuracy of the surrogate model was found to improve with increase in the sample size. We also observed that, the Sobol’s and the LHS sampling techniques performed better in the case of high-dimensional problems, whereas the HSS sampling tech- nique performed better in the case of low-dimensional problems. Overall, the AHF method was observed to provide acceptable- to-high accuracy in representing complex design systems.
A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-...
A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-...JAYAPRAKASH JPINFOTECH
This document describes a new cache architecture that aims to reduce energy consumption in last-level caches (LLCs) through selectively powering down cache ways in a dynamic manner. It proposes a way-filtering technique to logically increase the cache associativity of powered-down LLCs without reducing performance. Experimental results show the dynamic scheme reduces LLC energy consumption by 34-40% and overall system energy by 9.2% compared to conventional static cache configurations. The architecture is analyzed and implemented using Modelsim and Xilinx ISE software.A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
Solving the unit commitment (UC) problem is one of the most complicated issues in power systems that its
exact solving can be calculated by perfect counting of entire possible compounds of generative units. UC is
equated as a nonlinear optimization with huge size. Purpose of solving this problem is to programming the
optimization of the generative units to minimize the full action cost regarding problem constraints. In this
article, a modified version of ant colony optimization (MACO) is introduced for solving the UC problem in
a power system. ACO algorithm is a powerful optimization method which has the capability of fleeing from
local minimums by performing flexible memory system. The efficiency of proposed method in two power
system containing 4 and 10 generative units is indicated. Comparison of obtained results from the proposed
method with results of the past well-known methods is a proof for suitability of performing the introduced
algorithm in economic input and output of generative units.
Advanced Energy: An International Journal (AEIJ)
A modified ant colony optimization algorithm is proposed to solve the unit commitment problem in power systems. The unit commitment problem aims to minimize generation costs while meeting demand and operational constraints of generation units. The modified ant colony optimization algorithm uses multiple pheromone matrices, one for each hour, to represent the problem. It also uses discrete power levels for units and considers their minimum up and down times. The algorithm evaluates solutions based on generation costs while ensuring demand is met and system reserves are maintained at each step. The algorithm is tested on 4 and 10 unit systems and shows improvements over previous ant colony optimization methods for unit commitment.
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
Solving the unit commitment (UC) problem is one of the most complicated issues in power systems that its exact solving can be calculated by perfect counting of entire possible compounds of generative units. UC is equated as a nonlinear optimization with huge size. Purpose of solving this problem is to programming the optimization of the generative units to minimize the full action cost regarding problem constraints. In this article, a modified version of ant colony optimization (MACO) is introduced for solving the UC problem in a power system. ACO algorithm is a powerful optimization method which has the capability of fleeing from
local minimums by performing flexible memory system. The efficiency of proposed method in two power system containing 4 and 10 generative units is indicated. Comparison of obtained results from the proposed
method with results of the past well-known methods is a proof for suitability of performing the introduced
algorithm in economic input and output of generative units.
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
Solving the unit commitment (UC) problem is one of the most complicated issues in power systems that its
exact solving can be calculated by perfect counting of entire possible compounds of generative units. UC is
equated as a nonlinear optimization with huge size. Purpose of solving this problem is to programming the
optimization of the generative units to minimize the full action cost regarding problem constraints. In this
article, a modified version of ant colony optimization (MACO) is introduced for solving the UC problem in
a power system. ACO algorithm is a powerful optimization method which has the capability of fleeing from
local minimums by performing flexible memory system. The efficiency of proposed method in two power
system containing 4 and 10 generative units is indicated. Comparison of obtained results from the proposed
method with results of the past well-known methods is a proof for suitability of performing the introduced
algorithm in economic input and output of generative units.
Quantum behaved artificial bee colony based conventional controller for opti...
Since a multi area system (MAS) is characterized by momentary overshoot, undershoot and intolerable settling time so, neutral copper conductors are replaced by multilayer zigzag graphene nano ribbon (MLGNR) interconnects that are tremendously advantageous to copper interconnects for the future transmission line conductors necessitated for economic and emission dispatch (EED) of electric supply system giving rise to reduced overshoots and settling time and greenhouse effect as well. The recent work includes combinatorial algorithm involving proportional integral and derivative controller and heuristic swarm optimization; we say it as Hybridparticle swarm optimization (PSO) controller. The modeling of two multi area systems meant for EED is carried out by controlling the conventional proportional integral and derivative (PID) controller regulated and monitored by quantum behaved artificial bee colony (ABC) optimization based PID (QABCOPID) controller in MATLAB/Simulink platform. After the modelling and simulation of QABCOPID controller it is realized that QABCOPID is better as compared to multi span double display (MM), neural network based PID (NNPID), multi objective constriction PSO (MOCPSO) and multi objective PSO (MOPSO). The real power generation fixed by QABCOPID controller is used to estimate the combined cost and emission objectives yielding optimal solution, minimum losses and maximum efficiency of transmission line.
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Optimal Allocation of Capacitor Bank in Radial Distribution System using Anal...
Optimal Allocation of Capacitor Bank in Radial Distribution System using Anal...
2017 18 ieee vlsi titles,IEEE 2017-18 BULK NS2 PROJECTS TITLES,IEEE 2017-18...
2017 18 ieee vlsi titles,IEEE 2017-18 BULK NS2 PROJECTS TITLES,IEEE 2017-18...
T04201162168Optimal Allocation of FACTS Device with Multiple Objectives Using...
T04201162168Optimal Allocation of FACTS Device with Multiple Objectives Using...
Optimal Capacitor Placement in Distribution System using Fuzzy Techniques
Optimal Capacitor Placement in Distribution System using Fuzzy Techniques
Optimum reactive power compensation for distribution system using dolphin alg...
Optimum reactive power compensation for distribution system using dolphin alg...
A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-...
A Way-Filtering-Based Dynamic Logical–Associative Cache Architecture for Low-...
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
A MODIFIED ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
Quantum behaved artificial bee colony based conventional controller for opti...
Quantum behaved artificial bee colony based conventional controller for opti...
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Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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