VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
Arc: An IR for Batch and Stream ProgrammingLars Kroll
There is currently a large number of data programming models and their respective frontends such as relational tables, graphs, tensors, and streams. This has lead to a plethora of runtimes that typically focus on the efficient execution of just a single frontend. This fragmentation manifests today into highly complex pipelines that bundle multiple runtimes to support the necessary models. Hence, joint optimisation and execution of such pipelines across these frontend-bound runtimes is infeasible. We propose Arc as the first unified Intermediate Representation (IR) for data analytics that incorporates stream semantics based on a modern specification of streams, windows and stream aggregation, to combine batch and stream computation models. Arc extends Weld, an IR for batch computation, and adds stream interoperability as a natural extension to describe static computational graphs suitable for stream processing.
Fpga based efficient multiplier for image processing applications using recur...VLSICS Design
The Digital Image processing applications like medical imaging, satellite imaging, Biometric trait images
etc., rely on multipliers to improve the quality of image. However, existing multiplication techniques
introduce errors in the output with consumption of more time, hence error free high speed multipliers has
to be designed. In this paper we propose FPGA based Recursive Error Free Mitchell Log Multiplier
(REFMLM) for image Filters. The 2x2 error free Mitchell log multiplier is designed with zero error by
introducing error correction term is used in higher order Karastuba-Ofman Multiplier (KOM)
Architectures. The higher order KOM multipliers is decomposed into number of lower order multipliers
using radix 2 till basic multiplier block of order 2x2 which is designed by error free Mitchell log multiplier.
The 8x8 REFMLM is tested for Gaussian filter to remove noise in fingerprint image. The Multiplier is
synthesized using Spartan 3 FPGA family device XC3S1500-5fg320. It is observed that the performance
parameters such as area utilization, speed, error and PSNR are better in the case of proposed architecture
compared to existing architectures.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
Arc: An IR for Batch and Stream ProgrammingLars Kroll
There is currently a large number of data programming models and their respective frontends such as relational tables, graphs, tensors, and streams. This has lead to a plethora of runtimes that typically focus on the efficient execution of just a single frontend. This fragmentation manifests today into highly complex pipelines that bundle multiple runtimes to support the necessary models. Hence, joint optimisation and execution of such pipelines across these frontend-bound runtimes is infeasible. We propose Arc as the first unified Intermediate Representation (IR) for data analytics that incorporates stream semantics based on a modern specification of streams, windows and stream aggregation, to combine batch and stream computation models. Arc extends Weld, an IR for batch computation, and adds stream interoperability as a natural extension to describe static computational graphs suitable for stream processing.
Fpga based efficient multiplier for image processing applications using recur...VLSICS Design
The Digital Image processing applications like medical imaging, satellite imaging, Biometric trait images
etc., rely on multipliers to improve the quality of image. However, existing multiplication techniques
introduce errors in the output with consumption of more time, hence error free high speed multipliers has
to be designed. In this paper we propose FPGA based Recursive Error Free Mitchell Log Multiplier
(REFMLM) for image Filters. The 2x2 error free Mitchell log multiplier is designed with zero error by
introducing error correction term is used in higher order Karastuba-Ofman Multiplier (KOM)
Architectures. The higher order KOM multipliers is decomposed into number of lower order multipliers
using radix 2 till basic multiplier block of order 2x2 which is designed by error free Mitchell log multiplier.
The 8x8 REFMLM is tested for Gaussian filter to remove noise in fingerprint image. The Multiplier is
synthesized using Spartan 3 FPGA family device XC3S1500-5fg320. It is observed that the performance
parameters such as area utilization, speed, error and PSNR are better in the case of proposed architecture
compared to existing architectures.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Slides of the presentation of the paper Document Representation Refinement for Precise Region Description by Christian Clausner, Stefan Pletschacher and Apostolos Antonacopoulos. #digidays
Deep Stream Dynamic Graph Analytics with Grapharis - Massimo PeriniFlink Forward
World's toughest and most interesting analysis tasks lie at the intersection of graph data (inter-dependencies in data) and deep learning (inter-dependencies in the model). Classical graph embedding techniques have for years occupied research groups seeking how complex graphs can be encoded into a low-dimensional latent space. Recently, deep learning has dominated the space of embeddings generation due to its ability to automatically generate embeddings given any static graph.
Grapharis is a project that revitalizes the concept of graph embeddings, yet it does so in a real setting were graphs are not static but keep changing over time (think of user interactions in social networks). More specifically, we explored how a system like Flink can be used to simplify both the process of training a graph embedding model incrementally but also make complex inferences and predictions in real time using graph structured data streams. To our knowledge, Grapharis is the first complete data pipeline using Flink and Tensorflow for real-time deep graph learning. This talk will cover how we can train, store and generate embeddings continuously and accurately as data evolves over time without the need to re-train the underlying model.
Image processing and alignment with RNiftyReg and mmandJonathan Clayden
Images are produced in a wide spectrum of science and engineering disciplines, and in some fields they may have three or more dimensions. A range of postprocessing techniques are commonly used to identify or emphasise features of interest. It is also often necessary to align pairs of images, a process otherwise known as registration. Here we will present two packages, written in R and C/C++, which are designed to be used in this domain. RNiftyReg performs linear and nonlinear registration between 2D or 3D images, and allows estimated transformations to be applied to other images and points. The mmand package (for "mathematical morphology in any number of dimensions") offers facilities for image erosion and dilation, smoothing and filtering. It can also be used for other, related kernel-based operations, and for array resampling or noninteger indexing.
Matlab reversible watermarking based on invariant image classification and d...Ecway Technologies
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
GRAPH MATCHING ALGORITHM FOR TASK ASSIGNMENT PROBLEMIJCSEA Journal
Task assignment is one of the most challenging problems in distributed computing environment. An optimal task assignment guarantees minimum turnaround time for a given architecture. Several approaches of optimal task assignment have been proposed by various researchers ranging from graph partitioning based tools to heuristic graph matching. Using heuristic graph matching, it is often impossible to get optimal task assignment for practical test cases within an acceptable time limit. In this paper, we have parallelized the basic heuristic graph-matching algorithm of task assignment which is suitable only for cases where processors and inter processor links are homogeneous. This proposal is a derivative of the basic task assignment methodology using heuristic graph matching. The results show that near optimal assignments are obtained much faster than the sequential program in all the cases with reasonable speed-up.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Implementation and Impact of LNS MAC Units in Digital Filter ApplicationIJTET Journal
The logarithmic number system (LNS) is an efficient way to represent data in VLSI processors because its round-off error behavior resembles that of floating point arithmetic. LNS reduce the power dissipation in signal-processing-related application such as hearing-aid devices, video processing and error control. This paper presents techniques for low-power addition/subtraction in the LNS and quantifies their impact on digital filter VLSI implementation. The operation of addition and subtraction are difficult to perform in LNS as complex look up tables (LUTs) are needed. The impact of partitioning the look-up-tables required for LNS addition/subtraction on complexity performance and power dissipation is quantified. LNS base and LNS word are the two design parameters exploited to minimize complexity. A round-off noise model is used to demonstrate the impact of base and word-length on SNR of the output of FIR filters. In addition, techniques for low-power implementation of an LNS multiply accumulate (MAC) units are investigated. The proposed techniques can be extended to co-transformation-based circuits that employ interpolators. The results are demonstrated by evaluating the power dissipation, complexity and performance of several FIR filter configurations comprising one, two or four MAC units. Simulation of placed and routed VLSI LNS-based digital filters using Xilinx ISE reveal that significant power dissipation savings are possible by using optimized LNS circuits at no performance penalty, when compared to linear fixed-point two’s-complement equivalents.
Geographic XBRL Linkbase: A new Approach to Financial Reporting and Analysis ...TECSI FEA USP
Geographic XBRL Linkbase
Objectives:
Representation of geoProcessable data within XBRL Taxonomy;
Standardize the geoRepresentation in the XBRL Taxonomy;
Manipulation of the geoElements in the XBRL docs;
Finding Maximum Edge Biclique in Bipartite Networks by Integer ProgrammingMelih Sözdinler
The problem of finding bicliques in graphs arises in areas such as bioinformatics, social networks, citation networks and data mining. Most of the algorithms that appear in the literature are based on enumeration of bicliques. We may have an exponential number of bicliques in a graph. The Maximum edge biclique problem is NP-complete. When looking for maximum edge biclique(s) on large graphs, enumeration based algorithms may be subject to an explosive number of enumerated bicliques. Even though there are very efficient enumeration based solver packages around, there is also a need for a solver that can just report a single maximum edge biclique. We contribute an integer programming based algorithm for finding the maximum edge biclique. Our algorithm called BIIP, makes use of quaternary search and other optimizations to locate an optimal solution by making calls to an integer programming solver. We provide timing results of our solver on graphs coming from the bioinformatics field. Our BIIP solver is available at https://github.com/melihsozdinler/biip.
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Slides of the presentation of the paper Document Representation Refinement for Precise Region Description by Christian Clausner, Stefan Pletschacher and Apostolos Antonacopoulos. #digidays
Deep Stream Dynamic Graph Analytics with Grapharis - Massimo PeriniFlink Forward
World's toughest and most interesting analysis tasks lie at the intersection of graph data (inter-dependencies in data) and deep learning (inter-dependencies in the model). Classical graph embedding techniques have for years occupied research groups seeking how complex graphs can be encoded into a low-dimensional latent space. Recently, deep learning has dominated the space of embeddings generation due to its ability to automatically generate embeddings given any static graph.
Grapharis is a project that revitalizes the concept of graph embeddings, yet it does so in a real setting were graphs are not static but keep changing over time (think of user interactions in social networks). More specifically, we explored how a system like Flink can be used to simplify both the process of training a graph embedding model incrementally but also make complex inferences and predictions in real time using graph structured data streams. To our knowledge, Grapharis is the first complete data pipeline using Flink and Tensorflow for real-time deep graph learning. This talk will cover how we can train, store and generate embeddings continuously and accurately as data evolves over time without the need to re-train the underlying model.
Image processing and alignment with RNiftyReg and mmandJonathan Clayden
Images are produced in a wide spectrum of science and engineering disciplines, and in some fields they may have three or more dimensions. A range of postprocessing techniques are commonly used to identify or emphasise features of interest. It is also often necessary to align pairs of images, a process otherwise known as registration. Here we will present two packages, written in R and C/C++, which are designed to be used in this domain. RNiftyReg performs linear and nonlinear registration between 2D or 3D images, and allows estimated transformations to be applied to other images and points. The mmand package (for "mathematical morphology in any number of dimensions") offers facilities for image erosion and dilation, smoothing and filtering. It can also be used for other, related kernel-based operations, and for array resampling or noninteger indexing.
Matlab reversible watermarking based on invariant image classification and d...Ecway Technologies
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
GRAPH MATCHING ALGORITHM FOR TASK ASSIGNMENT PROBLEMIJCSEA Journal
Task assignment is one of the most challenging problems in distributed computing environment. An optimal task assignment guarantees minimum turnaround time for a given architecture. Several approaches of optimal task assignment have been proposed by various researchers ranging from graph partitioning based tools to heuristic graph matching. Using heuristic graph matching, it is often impossible to get optimal task assignment for practical test cases within an acceptable time limit. In this paper, we have parallelized the basic heuristic graph-matching algorithm of task assignment which is suitable only for cases where processors and inter processor links are homogeneous. This proposal is a derivative of the basic task assignment methodology using heuristic graph matching. The results show that near optimal assignments are obtained much faster than the sequential program in all the cases with reasonable speed-up.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Implementation and Impact of LNS MAC Units in Digital Filter ApplicationIJTET Journal
The logarithmic number system (LNS) is an efficient way to represent data in VLSI processors because its round-off error behavior resembles that of floating point arithmetic. LNS reduce the power dissipation in signal-processing-related application such as hearing-aid devices, video processing and error control. This paper presents techniques for low-power addition/subtraction in the LNS and quantifies their impact on digital filter VLSI implementation. The operation of addition and subtraction are difficult to perform in LNS as complex look up tables (LUTs) are needed. The impact of partitioning the look-up-tables required for LNS addition/subtraction on complexity performance and power dissipation is quantified. LNS base and LNS word are the two design parameters exploited to minimize complexity. A round-off noise model is used to demonstrate the impact of base and word-length on SNR of the output of FIR filters. In addition, techniques for low-power implementation of an LNS multiply accumulate (MAC) units are investigated. The proposed techniques can be extended to co-transformation-based circuits that employ interpolators. The results are demonstrated by evaluating the power dissipation, complexity and performance of several FIR filter configurations comprising one, two or four MAC units. Simulation of placed and routed VLSI LNS-based digital filters using Xilinx ISE reveal that significant power dissipation savings are possible by using optimized LNS circuits at no performance penalty, when compared to linear fixed-point two’s-complement equivalents.
Geographic XBRL Linkbase: A new Approach to Financial Reporting and Analysis ...TECSI FEA USP
Geographic XBRL Linkbase
Objectives:
Representation of geoProcessable data within XBRL Taxonomy;
Standardize the geoRepresentation in the XBRL Taxonomy;
Manipulation of the geoElements in the XBRL docs;
Finding Maximum Edge Biclique in Bipartite Networks by Integer ProgrammingMelih Sözdinler
The problem of finding bicliques in graphs arises in areas such as bioinformatics, social networks, citation networks and data mining. Most of the algorithms that appear in the literature are based on enumeration of bicliques. We may have an exponential number of bicliques in a graph. The Maximum edge biclique problem is NP-complete. When looking for maximum edge biclique(s) on large graphs, enumeration based algorithms may be subject to an explosive number of enumerated bicliques. Even though there are very efficient enumeration based solver packages around, there is also a need for a solver that can just report a single maximum edge biclique. We contribute an integer programming based algorithm for finding the maximum edge biclique. Our algorithm called BIIP, makes use of quaternary search and other optimizations to locate an optimal solution by making calls to an integer programming solver. We provide timing results of our solver on graphs coming from the bioinformatics field. Our BIIP solver is available at https://github.com/melihsozdinler/biip.
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Multipliers play an important role in today’s digital signal processing (DSP) and various other
applications. Multiplication is the most time consuming process in various signal processing operations like
convolution, circular convolution, auto-correlation and cross-correlation. With advances in technology, many
researchers have tried and are trying to design multipliers which offer either of the following- high speed, low
power consumption, regularity of layout and hence less area or even combination of them in multiplier. However
area and speed are two conflicting constraints. So improving speed results always in larger areas. So here we try
to find out the best trade off solution among the both of them. To have features like high speed and low power
consumption multipliers several algorithms have been introduced .In this paper, we describes Multipliers by using
various algorithm in VLSI technology.
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...ijceronline
Embedded systems used in real-time applications require low power, less area and a high computation speed. For digital signal processing (DSP), image processing and communication applications, data are often received at a continuously high rate. Embedded processors have to cope with this high data rate and process the incoming data based on specific application requirements. Even though there are many different application domains, they all require arithmetic operations that quickly compute the desired values using a larger range of operation, reconfigurable behavior, low power and high precision. The type of necessary arithmetic operations may vary greatly among different applications. The RTL-based design and verification of one or more of these functions may be time-consuming. Some High Level Synthesis tools reduce this design and verification time but may not be optimal or suitable for low power applications. The developed MATLAB-based Arithmetic Engine improves design time and reduces the verification process, but the key point is to use a unified design that combines some of the basic operations with more complex operations to reduce area and power consumption. The results indicate that using the Arithmetic Engine from a simple design to more complex systems can improve design time by reducing the verification time by up to 62%. The MATLAB-based Arithmetic Engine generates structural RTL code, a testbench, and gives the designers more control. The MATLAB-based design and verification engine uses optimized algorithms for better accuracy at a better throughput.
In present day MAC unit is demanded in most of the Digital signal processing. Function of addition and multiplication is performed by the MAC unit. MAC operates in two stages. Firstly, multiplier computes the given number output and the result is forwarded to second stage i.e. addition/accumulation operates. Speed of multiplier is important in MAC unit which determines critical path as well as area is also of great importance in designing of MAC unit. Multiplier plays an important roles in many digital signal processing (DSP) applications such as in convolution, digital filters and other data processing unit. Many research has been performed on MAC implementation. This paper provides analysis of the research and investigations held till now.
A COMPARISON BETWEEN PARALLEL AND SEGMENTATION METHODS USED FOR IMAGE ENCRYPT...ijcsit
Preserving confidentiality, integrity and authenticity of images is becoming very important. There are so many different encryption techniques to protect images from unauthorized access. Matrix multiplication
can be successfully used to encrypt-decrypt digital images. In this paper we made a comparison study between two image encryption techniques based on matrix multiplication namely, segmentation and parallel methods.
HARDWARE SOFTWARE CO-SIMULATION FOR TRAFFIC LOAD COMPUTATION USING MATLAB SIM...ijcsity
Due to increase in number of vehicles, Traffic is a major problem faced in urban areas throughout the
world. This document presents a newly developed Matlab Simulink model to compute traffic load for real
time traffic signal control. Signal processing, video and image processing and Xilinx Blockset have been
extensively used for traffic load computation. The approach used is Edge detection operation, wherein,
Edges are extracted to identify the number of vehicles. The developed model computes the results with
greater degrees of accuracy and is capable of being used to set the green signal duration so as to release
the traffic dynamically on traffic junctions.
Xilinx System Generator (XSG) provides Simulink Blockset for several hardware operations that could be
implemented on various Xilinx Field programmable gate arrays (FPGAs). The method described in this
paper involves object feature identification and detection. Xilinx System Generator provides some blocks to
transform data provided from the software side of the simulation environment to the hardware side. In our
case it is MATLAB Simulink to System Generator blocks. This is an important concept to understand in the
design process using Xilinx System Generator. The Xilinx System Generator, embedded in MATLAB
Simulink is used to program the model and then test on the FPGA board using the properties of hardware
co-simulation tools.
An Efficient Frame Embedding Using Haar Wavelet Coefficients And Orthogonal C...IJERA Editor
Digital media, applications, copyright defense, and multimedia security have become a vital aspect of our daily life. Digital watermarking is a technology used for the copyright security of digital applications. In this work we have dealt with a process able to mark digital pictures with a visible and semi invisible hided information, called watermark. This process may be the basis of a complete copyright protection system. Watermarking is implemented here using Haar Wavelet Coefficients and Principal Component analysis. Experimental results show high imperceptibility where there is no noticeable difference between the watermarked video frames and the original frame in case of invisible watermarking, vice-versa for semi visible implementation. The watermark is embedded in lower frequency band of Wavelet Transformed cover image. The combination of the two transform algorithm has been found to improve performance of the watermark algorithm. The robustness of the watermarking scheme is analyzed by means of two distinct performance measures viz. Peak Signal to Noise Ratio (PSNR) and Normalized Coefficient (NC).
Abstract: Latest technological development in VLSI design permits more functions integrated in a single chip. Multipliers are crucially important building structures for advanced computing and as a part of digital processing system. These logic and arithmetic structures should have to be speedy as well as precise enough so that number of such circuits can be integrated along a single chip. Considering this there is advancement in IC fabrication and design is still going on. In VLSI circuit area, power and delay are the parameters which are considered as design parameters. However, there exists a trade-off amongst them for an optimal design. Multipliers have very crucial and important part in designing of microprocessors, multimedia system and digital signal processors etc. Almost 15% of total IC power is consumed by multiplication unit alone. So it becomes very important to have a well organized design in terms of performance, area and its processing speed of multipliers and same as for Booth multiplication algorithm which gives a fundamental platform for such improvements in the designing of high speed multipliers with great performance.
Booth algorithm gives such an efficient encoding scheme of the bits through first steps of the multiplication process. This work is based on configurable logic for 16-bit Booth multiplier using Radix-2 and Radix-4 Method. Booth multiplier can be configured to perform multiplication on 16-bit operands. The multiplier will identify the range of the operands during configuration register. The configuration register can be configured through input ports. The multiplier has been synthesized using Xilinx 14.5 and in this simulation we have achieve minimum combinational delay. Modelsim is used for the simulation part in this work.
Keywords: Radix, XPS, VHDL, Modelsim, IC fabrication, CBM, MAC, RTL, CIAF, CLA.
Title: Implementation of Radix-4 Booth Multiplier by VHDL
Author: Prof. Sneha Singh, Prachi Singh
International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE)
ISSN 2349-7815
Paper Publications
HARDWARE SOFTWARE CO-SIMULATION OF MOTION ESTIMATION IN H.264 ENCODERcscpconf
This paper proposes about motion estimation in H.264/AVC encoder. Compared with standards
such as MPEG-2 and MPEG-4 Visual, H.264 can deliver better image quality at the same
compressed bit rate or at a lower bit rate. The increase in compression efficiency comes at the
expense of increase in complexity, which is a fact that must be overcome. An efficient Co-design
methodology is required, where the encoder software application is highly optimized and
structured in a very modular and efficient manner, so as to allow its most complex and time
consuming operations to be offloaded to dedicated hardware accelerators. The Motion
Estimation algorithm is the most computationally intensive part of the encoder which is simulated using MATLAB. The hardware/software co-simulation is done using system generator tool and implemented using Xilinx FPGA Spartan 3E for different scanning methods.
SPEED-UP IMPROVEMENT USING PARALLEL APPROACH IN IMAGE STEGANOGRAPHYcsandit
This paper presents a parallel approach to improve the time complexity problem associated
with sequential algorithms. An image steganography algorithm in transform domain is
considered for implementation. Image steganography is a technique to hide secret message in
an image. With the parallel implementation, large message can be hidden in large image since
it does not take much processing time. It is implemented on GPU systems. Parallel
programming is done using OpenCL in CUDA cores from NVIDIA. The speed-up improvement
obtained is very good with reasonably good output signal quality, when large amount of data is
processed
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
A STUDY OF IMAGE COMPRESSION BASED TRANSMISSION ALGORITHM USING SPIHT FOR LOW...acijjournal
Image compression is internationally recognized up to the minute tools for decrease the communication
bandwidth and save the transmitting power. It should reproduce a good quality image after compressed
at low bit rates. Set partitioning in hierarchical trees (SPIHT) is wavelet based computationally very fast
and among the best image compression based transmission algorithm that offers good compression
ratios, fast execution time and good image quality. Precise Rate Control (PRC) is the distinct
characteristic of SPIHT. Image compression-based on Precise Rate Control and fast coding time are
principally analyzed in this paper. Experimental result shows that, in the case of low bit-rate, the
modified algorithm with fast Coding Time and Precise Rate Control can reduce the execution time and
improves the quality of reconstructed image in both PSNR and perceptual when compare to at the same
low bit rate.
Similar to Vlsi assisted nonrigid registration using modified demons algorithm (20)
Variable length signature for near-duplicatejpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Robust representation and recognition of facialjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Revealing the trace of high quality jpegjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Revealing the trace of high quality jpegjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Pareto depth for multiple-query image retrievaljpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Fractal analysis for reduced referencejpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Face sketch synthesis via sparse representation based greedy searchjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Face recognition across non uniform motionjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Combining left and right palmprint images forjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
A probabilistic approach for color correctionjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
A no reference texture regularity metricjpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
A feature enriched completely blind imagejpstudcorner
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Vlsi assisted nonrigid registration using modified demons algorithm
1. VLSI-Assisted Nonrigid Registration Using Modified
Demons Algorithm
ABSTRACT:
Increasing demand of high-speed portable modules for multimedia applications has
motivated the development of hardware-based solutions for image processing
applications.Most of the nonrigid image registration algorithms are found to be
unsuitable for hardware implementation because of their nonlinearity and
computationally intensive nature. In this paper, an algorithm for nonrigid image
registration based on Demons approximation is proposed. The algorithm has been
simulated in MATLAB and results show a 15% improvement in peaksignal- to-
noise-ratio with a 17% reduction in registration time for 256 × 256 image over the
original Demons algorithm. The proposed algorithm is synthesized in Virtex6-
xc6vlx760-2-ff1760 and maximum synthesized frequency is found to be 174 MHz.
The proposed architecture provides the low cost, high-speed solution for the
registration process, which is also helpful for making a portable system.
2. EXISTING SYSTEM:
Image registration involves minimum two images; one image is known as
reference image and the other one is the target (or moving) image. Reference and
target images are related through some transforms. These transforms are known as
nonrigid transform (also known as elastic or deformable transform), if they are
capable of modeling nonlinearity and local geometric distortion caused by the
imaging system [1], [2], [5]. Nonrigid transformations include radial basis
functions, physical models, and large deformation models. The choice of
deformation model is of great importance because it involves compromises
between computational efficiency and richness of description. Nonrigid
transformations are highly nonlinear and computationally expensive [2], [5].
Memory intensive characteristics of nonrigid algorithms further limit the
realization of hardwarebased portable systems. A general framework for image
registration is shown in Fig. 1.
3. PROPOSED SYSTEM:
In this paper, diffusion model has been chosen for nonrigid image registration due
to its computational efficiency and capability of solving the complex partial
differential equations. Most of the work on diffusion model is inspired by the work
of Thirion [6] and classified as Demons approaches. Demonsbased approaches for
nonrigid registration utilize the concept of optical flow and thermal diffusion,
which directly explores the image raw intensities and can accelerate the
registration process [3], [7]. Researchers developed new variants of the Demons
algorithm and successfully applied to fluid and curvature [8]. New variants such as
log- and ilog-Demons use logarithmic and exponential methods of optical flow
calculation. Logarithmic and exponential functions are nonlinear and
computationally intensive, which result in the reduction of computational
efficiency and increased hardware complexity. The authors of this paper have
extended the method of Wang et al. [9] and proposed efficient Demons-based
approach as well as its hardware architecture, which utilizes parallel processing
and pipelined streaming models to accelerate the computation process.