This document describes the design of optimized reversible Vedic multipliers for high-speed low-power operations. It presents 2x2, 4x4, and 8x8 bit reversible Vedic multipliers based on the Urdhva Tiryakbhyam multiplication algorithm. The multipliers were designed using reversible logic gates like Feynman, Peres, and HNG gates. Simulation results showed the reversible Vedic multipliers have lower time delay, area, and number of logic units compared to normal Vedic multipliers. Potential applications of these high-speed low-power multipliers include fast Fourier transforms, public key cryptography, and embedded systems.
Handwritten Digit Recognition and performance of various modelsation[autosaved]SubhradeepMaji
This presentation is all about handwritten digit recognition of different people using Convolution Neural Network and compare the performance of different models based on different sequence of layers.
Handwritten Digit Recognition and performance of various modelsation[autosaved]SubhradeepMaji
This presentation is all about handwritten digit recognition of different people using Convolution Neural Network and compare the performance of different models based on different sequence of layers.
Slides by Víctor Garcia about the paper:
Reed, Scott, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. "Generative adversarial text to image synthesis." ICML 2016.
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.
Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.
Presentation in Vietnam Japan AI Community in 2019-05-26.
The presentation summarizes what I've learned about Regularization in Deep Learning.
Disclaimer: The presentation is given in a community event, so it wasn't thoroughly reviewed or revised.
The main objective of this paper is to recognize and predict handwritten digits from 0 to 9 where data set of 5000 examples of MNIST was given as input. As we know as every person has different style of writing digits humans can recognize easily but for computers it is comparatively a difficult task so here we have used neural network approach where in the machine will learn on itself by gaining experiences and the accuracy will increase based upon the experience it gains. The dataset was trained using feed forward neural network algorithm. The overall system accuracy obtained was 95.7% Jyoti Shinde | Chaitali Rajput | Prof. Mrunal Shidore | Prof. Milind Rane"Handwritten Digit Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd8384.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/8384/handwritten-digit-recognition/jyoti-shinde
4. Linear Algebra for Machine Learning: Eigenvalues, Eigenvectors and Diagona...Ceni Babaoglu, PhD
The seminar series will focus on the mathematical background needed for machine learning. The first set of the seminars will be on "Linear Algebra for Machine Learning". Here are the slides of the fourth part which is discussing eigenvalues, eigenvectors and diagonalization.
Here is the link of the first part which was discussing linear systems: https://www.slideshare.net/CeniBabaogluPhDinMat/linear-algebra-for-machine-learning-linear-systems/1
Here are the slides of the second part which was discussing basis and dimension:
https://www.slideshare.net/CeniBabaogluPhDinMat/2-linear-algebra-for-machine-learning-basis-and-dimension
Here are the slides of the third part which is discussing factorization and linear transformations.
https://www.slideshare.net/CeniBabaogluPhDinMat/3-linear-algebra-for-machine-learning-factorization-and-linear-transformations-130813437
Slides by Víctor Garcia about the paper:
Reed, Scott, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. "Generative adversarial text to image synthesis." ICML 2016.
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.
Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.
Presentation in Vietnam Japan AI Community in 2019-05-26.
The presentation summarizes what I've learned about Regularization in Deep Learning.
Disclaimer: The presentation is given in a community event, so it wasn't thoroughly reviewed or revised.
The main objective of this paper is to recognize and predict handwritten digits from 0 to 9 where data set of 5000 examples of MNIST was given as input. As we know as every person has different style of writing digits humans can recognize easily but for computers it is comparatively a difficult task so here we have used neural network approach where in the machine will learn on itself by gaining experiences and the accuracy will increase based upon the experience it gains. The dataset was trained using feed forward neural network algorithm. The overall system accuracy obtained was 95.7% Jyoti Shinde | Chaitali Rajput | Prof. Mrunal Shidore | Prof. Milind Rane"Handwritten Digit Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd8384.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/8384/handwritten-digit-recognition/jyoti-shinde
4. Linear Algebra for Machine Learning: Eigenvalues, Eigenvectors and Diagona...Ceni Babaoglu, PhD
The seminar series will focus on the mathematical background needed for machine learning. The first set of the seminars will be on "Linear Algebra for Machine Learning". Here are the slides of the fourth part which is discussing eigenvalues, eigenvectors and diagonalization.
Here is the link of the first part which was discussing linear systems: https://www.slideshare.net/CeniBabaogluPhDinMat/linear-algebra-for-machine-learning-linear-systems/1
Here are the slides of the second part which was discussing basis and dimension:
https://www.slideshare.net/CeniBabaogluPhDinMat/2-linear-algebra-for-machine-learning-basis-and-dimension
Here are the slides of the third part which is discussing factorization and linear transformations.
https://www.slideshare.net/CeniBabaogluPhDinMat/3-linear-algebra-for-machine-learning-factorization-and-linear-transformations-130813437
DESIGN AND SIMULATION OF DIFFERENT 8-BIT MULTIPLIERS USING VERILOG CODE BY SA...Saikiran Panjala
In this project, we compare the working of the four 8- bit multipliers like Wallace tree multiplier, Array multiplier, Baugh-Wooley multiplier and Vedic multiplier by simulating each of them separately. This is a very important criterion because in the fabrication of chips and the high-performance system requires components which are as small as possible.
If you any doubts regarding project.......then to a mail(saikiranpanjala@gmail.com)
The proposed system is an efficient processing of 16-bit Multiplier Accumulator using Radix-8 and Radix-16 modified Booth Algorithm and other adders (SPST adder, Carry select adder, Parallel Prefix adder) using VHDL (Very High Speed Integrated Circuit Hardware Description Language). This proposed system provides low power, high speed and fewer delays. In both booth multipliers, comparison between the power consumption (mw) and estimated delay (ns) are calculated. The application of digital signal processing like fast fourier transform, finite impulse response and convolution needs high speed and low power MAC (Multiplier and Accumulator) units to construct an added. By reducing the glitches (from 1 to 0 transition) and spikes (from 0 to 1 transition), the speed of operation is improved and dynamic power is reduced. The adder designed with SPST avoids the unwanted glitches and spikes, reduce the switching power dissipation and the dynamic power. The speed can be improved by reducing the number of partial products to half, by grouping of bits in the multiplier term. The proposed Radix-8 and Radix-16 Modified Booth Algorithm MAC with SPST reduces the delay and obtain low power consumption as compared to array MAC.
Researchers like Landauer and Bennett have shown that every bit of information lost will generate kTlog2 joules of
energy, whereas the energy dissipation would not occur, if computation is carried out in a reversible way. k is
Boltzmann’s constant and T is absolute temperature at which computation is performed. Thus reversible circuits will be
the most important one of the solutions of heat dissipation in Future circuit design. Reversible computing is motivated
by the Von Neumann Landauer (VNL) principle, a theorem of modern physics telling us that ordinary irreversible logic
operation which destructively overwrite previous outputs)in cur a fundamental physics) that performance on most
applications within realistic power constraints might still continue increasing indefinitely. Reversible logic is also a
core part of the quantum circuit model
A low power adder using reversible logic gateseSAT Journals
Abstract
Reversible logic has emerged as one of the most important approaches for the power optimization with its application in low power
VLSI design. They are also the fundamental requirement for the emerging field of the Quantum computing having with applications in
the domains like Nano-technology, Digital signal processing, Cryptography, Communications. Implementing the reversible logic has
the advantages of reducing gate counts, garbage outputs as well as constant inputs. In contrast to conventional gates, reversible logic
gates have the same number of inputs and outputs, each of their output function is equal to 1 for exactly half its input assignments and
their fan-out is always equal to 1. It is interesting to compare both reversible and conventional gates. In this paper addition,
subtraction, operations are realized using reversible logic gates like DKG and TSG gate and compared with conventional gates.
Index Terms: Reversible logic, Quantum computing, Garbage outputs, Constant inputs
Implementation and Performance Analysis of a Vedic Multiplier Using Tanner ED...ijsrd.com
high density, VLSI chips have led to rapid and innovative development in low power design during the recent years .The need for low power design is becoming a major issue in high performance digital systems such as microprocessor, digital signal processor and other applications. For these applications, Multiplier is the major core block. Based on the Multiplier design, an efficient processor is designed. Power and area efficient multiplier using CMOS logic circuits for applications in various digital signal processors is designed. This multiplier is implemented using Vedic multiplication algorithms mainly the "UrdhvaTriyakBhyam sutra., which is the most generalized one Vedic multiplication algorithm [1] . A multiplier is a very important element in almost all the processors and contributes substantially to the total power consumption of the system. The novel point is the efficient use of Vedic algorithm (sutras) that reduces the number of computational steps considerably compared with any conventional method . The schematic for this multiplier is designed using TANNER TOOL. Paper presents a systematic design methodology for this improved performance digital multiplier based on Vedic mathematics.
An Optimized Implementation Of 64-Bit MAC Unit For DSP Applications Using SPSTPatnam Shruthi
With the rapid advances in multimedia and communication system, high capacity signal processing are in demand, so High Speed MAC are essential to improve performance of signal processing System. Multiplication occurs frequently in finite impulse response filters, fast Fourier transforms, discrete cosine transforms, convolution, and other important DSP and multimedia kernels. The objective of a good multiplier and accumulator (MAC) is to provide a physically compact, good speed and low power consuming chip. The proposed SPST separates the target designs into two parts, i.e., the most significant part and least significant part (MSP and LSP), and turns off the MSP when it does not affect the computation results to save power.In These Project I propose a high speed MAC adopting the new SPST implementing approach. This multiplier and accumulator is designed by equipping the Spurious Power Suppression Technique (SPST) on a modified Booth encoder which is controlled by a detection unit using an AND gate.
Language: Verilog.
Software:Modelsim ,Xilinx ISE
Seminar on Digital Multiplier(Booth Multiplier) Using VHDLNaseer LoneRider
This is my Mini project. It is very clear and has lots of animation in it. If you like to know about booth algorithm and VHDL this the perfect presentation. Download it and see as SLIDE SHOW. You will enjoy more of my work, Give blessings.
Compare "Urdhva Tiryakbhyam Multiplier" and "Hierarchical Array of Array Mul...ijsrd.com
Multipliers are extensively used in Microprocessors, DSP and Communication applications. For higher order multiplications, a huge number of adders are to be used to perform the partial product addition. The need of high speed multiplier is increasing as the need of high speed processors are increasing. In this project, comparative study of different multipliers is done for high speed. The project includes two 4x4 bit Vedic Multiplier (VM) "Urdhva Tiryakbhyam multiplier" and "Hierarchical Array of Array Multiplier" of Ancient Indian Vedic Mathematics which are compared in terms of their speed. Urdhva Tiryakbhyam sutra increases the speed of multiplier by reducing the number of iterations then Hierarchical Array of Array Multiplier.
Implemenation of Vedic Multiplier Using Reversible Gates csandit
With DSP applications evolving continuously, there is continuous need for improved multipliers which are faster and power efficient. Reversible logic is a new and promising field which addresses the problem of power dissipation. It has been shown to consume zero power theoretically. Vedic mathematics techniques have always proven to be fast and efficient for solving various problems. Therefore, in this paper we implement Urdhva Tiryagbhyam algorithm using reversible logic thereby addressing two important issues – speed and power consumption of implementation of multipliers. In this work, the design of 4x4 Vedic multiplier is optimized by reducing the number of logic gates, constant inputs, and garbage outputs. This multiplier can find its application in various fields like convolution, filter applications, cryptography, and communication.
VLSI Implementation of Vedic Multiplier Using Urdhva– Tiryakbhyam Sutra in VH...iosrjce
This paper anticipated the design of a novel Vedic Multiplier using the techniques of Ancient Indian
Vedic Mathematics that have been modified to improve performance. A high speed processor depends greatly
on the multiplier as it is one of the key hardware blocks in most digital signal processing system as well as in
general processors. Currently the speed of the multipliers is limited by the speed of the adders used for partial
product addition. In this paper, we proposed an 8-bit multiplier using the new methodology of Vedic
Mathematics called as Urdhva-Tiryagbhyam sutra which is used for generating the partial products. The partial
product addition in Vedic multiplier is realized using carry-skip technique. This paper depicts the design of an
efficient 8×8 binary arithmetic multiplier by using Vedic Mathematics. From various multiplication techniques,
Urdhva-Tiryagbhyam sutra is being implemented because this sutra is applicable to all cases of algorithms for
N×N bit numbers and the minimum delay is obtained. A 4×4 Vedic Multiplier is designed using 9 –full adder
and a special 4-bit adder which is having reduced delay. Then 8-bit multiplier is designed using four 4-bit
multiplier and 3-ripple carry adder. Then 8×8 Vedic Multiplier is coded in VHDL, synthesized and simulated
using Xilinx ISE8.2 Software. Finally the objective of this paper lies in design of an efficient vedic multiplier
using Urdhva–Tiryakbhyam Sutra in VHDL Environment.
A Time-Area-Power Efficient High Speed Vedic Mathematics Multiplier using Com...Kumar Goud
Abstract: With the advent of new technology in the fields of VLSI and communication, there is also an ever growing demand for high speed processing and low area design. It is also a well known fact that the multiplier unit forms an integral part of processor design. Due to this regard, high speed multiplier architectures become the need of the day. In this paper, we introduce a novel architecture to perform high speed multiplication using ancient Vedic maths techniques. A new high speed approach utilizing 4:2 compressors and novel 7:2 compressors for addition has also been incorporated in the same and has been explored. Upon comparison, the compressor based multiplier introduced in this paper, is almost two times faster than the popular methods of multiplication. With regards to area, a 1% reduction is seen. The design and experiments were carried out on a Xilinx Spartan 3e series of FPGA and the timing and area of the design, on the same have been calculated.
Keywords—4:2 Compressor, 7:2 Compressor, Booth’s multiplier, high speed multiplier, modified Booth’s multiplier, Urdhwa Tiryakbhyam Sutra, Vedic Mathematics.
RTL Verification and FPGA Implementation of 4x4 Vedic MultiplierMohd Esa
The objective of this paper is to study 4x4 Vedic multiplier.
Multiplication is an important fundamental function in arithmetic operations.
Vedic multiplier using Urdhva-Tiryagbyam sutra is predominant in
performance evaluation of parameters such as power, area & delay. This paper
presents design, verification and FPGA implementation of Vedic multiplier.
Verification is carried out in Questa Sim 10.4e using System Verilog HVL and
design is carried out in Xilinx ISE Design Suite 14.7 using Verilog HDL
environment
Verilog Implementation of an Efficient Multiplier Using Vedic MathematicsIJERA Editor
In this paper, the design of a 16x16 Vedic multiplier has been proposed using the 16 bit Modified Carry Select Adder and 16 bit Kogge Stone Adder. The Modified Carry Select Adder incorporates the Binary to Excess -1 Converter (BEC) and is known to be the fastest adder as compared to all the conventional adders. The design is implemented using the Verilog Hardware Description Language and tested using the Modelsim simulator. The code is synthesized using the Virtex-7 family with the XC7VX330T device. The Vedic multiplier has applications in Digital Signal Processing, Microprocessors, FIR filters and communication systems. This paper presents a comparison of the results of 16x16 Vedic multiplier using Modified Carry Select Adder and 16x16 Vedic Multiplier using Kogge Stone Adder. The results show that 16x16 Vedic Multiplier using Modified Carry Select Adder is more efficient and has less time delay as compared to the 16x16 Vedic Multiplier using Kogge Stone Adder.
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A Novel Design of a 4 Bit Reversible ALU using Kogge-Stone Adderijtsrd
Reversible circuits are one promising direction withapplications in the field of low-power design or quantumcomputation. However, no real design flow for this new kind ofcircuits exists so far. Significant contributions have been madein the literature towards the design of reversible logic gatestructures and arithmetic units, however, there are not manyefforts directed towards the design of reversible ALUs. In thispaper, a novel programmable reversible Kogge-Stone adder ispresented and verified, and its implementation in the design ofa reversible Arithmetic Logic Unit is demonstrated. Then,reversible implementations of ripple-carry, Kogge-Stone carrylook-ahead adders are analyzed and compared in terms ofdelay. The proposed design consists of the reversible Fredkin,Feynman, MG, HNG, PG and RKSC gates. The performancecharacteristics analysis is carried out in Xilinx environment. Swetha Potharla | Rajkumar R"A Novel Design of a 4 Bit Reversible ALU using Kogge-Stone Adder" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd5758.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/5758/a-novel-design-of-a-4-bit-reversible-alu-using--kogge-stone-adder/swetha-potharla
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.
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.
Design of Complex Adders and Parity Generators Using Reversible GatesIJLT EMAS
This paper shows efficient design of an odd and even parity generator, a 4-bit ripple carry adder, and a 2-bit carry look ahead adder using reversible gates. Number of reversible gates used, garbage output, and percentage usage of outputs in implementing each combinational circuit is derived. The CLA used 10 reversible gates with 14 garbage outputs, with 50% percentage performance usage.
Design of High speed Low Power Reversible Vedic multiplier and Reversible Div...IJERA Editor
This paper bring out a 32X32 bit reversible Vedic multiplier using "Urdhva Tiryakabhayam" sutra meaning vertical and crosswise, is designed using reversible logic gates, which is the first of its kind. Also in this paper we propose a new reversible unsigned division circuit. This circuit is designed using reversible components like reversible parallel adder, reversible left-shift register, reversible multiplexer, reversible n-bit register with parallel load line. The reversible vedic multiplier and reversible divider modules have been written in Verilog HDL and then synthesized and simulated using Xilinx ISE 9.2i. This reversible vedic multiplier results shows less delay and less power consumption by comparing with array multiplier.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
3. Objective of The project
• Designing a 8x8 bit reversible Vedic multiplier
circuits based on Urdhava Triyakbhyam Sutras
(Vertical and Crosswise Algorithm).
• To optimize the area, Quantum cost and garbage
output of the Vedic multiplier circuits.
4. For the logic Synthesis- Xilinx 9.2ISE
simulation.
Verilog HDL programing language.
Utilized tools:
5. Reversible logic gates
A Reversible logic gate is an n-input and n-
output device with one-to-one mapping.
These gates are helps to determine the outputs
from the inputs and also the inputs can be uniquely
recovered from the outputs.
By using these gates lowering the power
dissipation. Different reversible gates are Feymann
gate, Peres gate, HNG gate etc.
One or more operation can implement in
a single unit called Reversible Gate
6. BASIC REVERSIBLE LOGIC CIRCUITS
Feynman Gate:
It is a 2x2 gate and its logic circuit is as shown in the
figure. It is also known as Controlled Not (CNOT) Gate. It has
quantum cost one and is generally used for Fan Out purposes.
The input vector is I (A, B) and the output vector is O (P, Q).
(a) Feynman gate
(b): combinational circuit diagram of 1x1 feynman gate
8. VEDIC MULTIPLICATION:
URDHVA TIRYAKBHAYAM SUTRA:
The “Urdhva Tiryagbhyam” Sutra is a general multiplication formula
applicable to all cases of multiplication such as binary, hex, decimal and octal.
The Sanskrit word “Urdhva” means “Vertically” and “Tiryagbhyam‟ means
“crosswise”. Fig 4 shows an example of Urdhva Tiryagbhyam(UT).
R is the Result and PC is the
Previous Carry
Urdhva Tlryakbhyam algorithm for binary multiplication
15. Comparison of two 8-bit multipliers
logic Reversible Vedic
multiplication
Vedic multiplication
TIME DELAY 20.726nsec 20.980nsec
AREA 48% 48%
Number of LUT’s 32 32
17. This multiplier may find applications in Fast Fourier Transforms
(FFTs).
To provide universal multiplication with low power high speed.
Applications in system on chip design as technology scales.
In public key cryptography like AES encryption and decryption.
Laptop/Handheld/Wearable Computers
Implanted Medical Devices
Wallet “smart cards”
APPLICATIONS:
18. Increase the Speed of the system
To acquire good efficiency of the system
Reduce the time delay as well as path
delay in the multiplier.
ADVANTAGES:
19. In this project presents the Urdhva Tiryakbhayam Vedic
Multiplier realized using reversible logic gates. Firstly a basic 2x2 UT
multiplier is designed. After this, the 2x2 UT multiplier block is cascaded
to obtain 4x4 multiplier. The ripple carry adders which were required for
adding the partial products were constructed using HNG gates.similarly
design the 8x8 multiplier.
Vedic multipliers for speedy operations not only for mental
calculations but also for hardware implementations.
Conclusion:
