Low-Complexity Digit-Serial Multiplier Over GF(2m) Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition
•Download as DOCX, PDF•
0 likes•28 views
Low-Complexity Digit-Serial Multiplier Over GF(2m) Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition
Report
Share
Report
Share
Recommended
A CRITICAL IMPROVEMENT ON OPEN SHOP SCHEDULING ALGORITHM FOR ROUTING IN INTER...
In the past years, Interconnection Networks have been used quite often and especially in applications where parallelization is critical. Message packets transmitted through such networks can be interrupted
using buffers in order to maximize network usage and minimize the time required for all messages to reach
their destination. However, preempting a packet will result in topology reconfiguration and consequently in
time cost. The problem of scheduling message packets through such a network is referred to as PBS and is
known to be NP-Hard. In this paper we haveimproved,
ritically, variations of polynomially solvable
instances of Open Shop to approximate PBS. We have combined these variations and called the induced
algorithmI_HSA (Improved Hybridic Scheduling Algorithm). We ran experiments to establish the efficiency
of I_HSA and found that in all datasets used it produces schedules very close to the optimal. In addition, we
tested I_HSA with datasets that follow non-uniform distributions and provided statistical data which
illustrates better its performance.To further establish I_HSA’s efficiency we ran tests to compare it to SGA,
another algorithm which when tested in the past has yielded excellent results.
Basic communication operations - One to all Broadcast
This document discusses one-to-all broadcast operations in parallel computing. It describes one-to-all broadcast, where a single process sends identical data to all other processes. It then discusses implementations of one-to-all broadcast on ring/linear array, mesh, and hypercube network topologies. It analyzes the time cost of one-to-all broadcast as O(logp) message transfers. It also describes how to improve the speed using a scatter-all-to-all broadcast approach for large messages.
Graph based transistor network generation method for supergate design
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
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
Chap4 slides
This document discusses several common group communication operations used in parallel programs, including one-to-all broadcast, all-to-one reduction, all-to-all broadcast, all-reduce, and prefix-sum operations. It describes algorithms for implementing each of these operations on different network topologies like rings, meshes, and hypercubes. The algorithms are analyzed and their communication costs are derived in terms of the number of messages and message size.
rbm_hls
1) Researchers developed a hardware implementation of the Restricted Boltzmann Machine (RBM) algorithm on an FPGA to speed up training. The RBM is commonly used for feature learning in neural networks.
2) The hardware implementation pipelines and parallelizes the matrix multiplication and weight update stages of the RBM algorithm to increase throughput and decrease latency.
3) Experimental results found the hardware implementation provided over 35 times speed up compared to a software-only approach, allowing the RBM to be scaled to larger network sizes.
pMatlab on BlueGene
This document summarizes work to optimize the parallel MATLAB (pMatlab) software for large-scale computation on the IBM Blue Gene/P supercomputer. Key points include porting pMatlab to run on the Blue Gene/P, evaluating its single-process and parallel performance, and developing new aggregation techniques like BAGG and HAGG that improve scalability for collecting distributed data beyond 1024 processes using a binary tree approach. Single-process Octave performance on Blue Gene/P was found to be comparable to MATLAB, and parallel benchmarks showed near-linear strong scaling up to 16,384 processes.
One minimum only trellis decoder for non binary low-density parity-check codes
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
Recommended
A CRITICAL IMPROVEMENT ON OPEN SHOP SCHEDULING ALGORITHM FOR ROUTING IN INTER...
In the past years, Interconnection Networks have been used quite often and especially in applications where parallelization is critical. Message packets transmitted through such networks can be interrupted
using buffers in order to maximize network usage and minimize the time required for all messages to reach
their destination. However, preempting a packet will result in topology reconfiguration and consequently in
time cost. The problem of scheduling message packets through such a network is referred to as PBS and is
known to be NP-Hard. In this paper we haveimproved,
ritically, variations of polynomially solvable
instances of Open Shop to approximate PBS. We have combined these variations and called the induced
algorithmI_HSA (Improved Hybridic Scheduling Algorithm). We ran experiments to establish the efficiency
of I_HSA and found that in all datasets used it produces schedules very close to the optimal. In addition, we
tested I_HSA with datasets that follow non-uniform distributions and provided statistical data which
illustrates better its performance.To further establish I_HSA’s efficiency we ran tests to compare it to SGA,
another algorithm which when tested in the past has yielded excellent results.
Basic communication operations - One to all Broadcast
This document discusses one-to-all broadcast operations in parallel computing. It describes one-to-all broadcast, where a single process sends identical data to all other processes. It then discusses implementations of one-to-all broadcast on ring/linear array, mesh, and hypercube network topologies. It analyzes the time cost of one-to-all broadcast as O(logp) message transfers. It also describes how to improve the speed using a scatter-all-to-all broadcast approach for large messages.
Graph based transistor network generation method for supergate design
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
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
Chap4 slides
This document discusses several common group communication operations used in parallel programs, including one-to-all broadcast, all-to-one reduction, all-to-all broadcast, all-reduce, and prefix-sum operations. It describes algorithms for implementing each of these operations on different network topologies like rings, meshes, and hypercubes. The algorithms are analyzed and their communication costs are derived in terms of the number of messages and message size.
rbm_hls
1) Researchers developed a hardware implementation of the Restricted Boltzmann Machine (RBM) algorithm on an FPGA to speed up training. The RBM is commonly used for feature learning in neural networks.
2) The hardware implementation pipelines and parallelizes the matrix multiplication and weight update stages of the RBM algorithm to increase throughput and decrease latency.
3) Experimental results found the hardware implementation provided over 35 times speed up compared to a software-only approach, allowing the RBM to be scaled to larger network sizes.
pMatlab on BlueGene
This document summarizes work to optimize the parallel MATLAB (pMatlab) software for large-scale computation on the IBM Blue Gene/P supercomputer. Key points include porting pMatlab to run on the Blue Gene/P, evaluating its single-process and parallel performance, and developing new aggregation techniques like BAGG and HAGG that improve scalability for collecting distributed data beyond 1024 processes using a binary tree approach. Single-process Octave performance on Blue Gene/P was found to be comparable to MATLAB, and parallel benchmarks showed near-linear strong scaling up to 16,384 processes.
One minimum only trellis decoder for non binary low-density parity-check codes
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
High throughput finite field multipliers using redundant basis for fpga and a...
High throughput finite field multipliers using redundant basis for fpga and a...LogicMindtech Nologies
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 VijayangarDWS vs CST CABLE STUDIO SIMULATION SPEEDUP
A classical way to model lossy TL is to apply the Vector Fitting (VF) technique to theoretical frequency domain impedance expression taking into account both conductor and dielectric losses. The resulting poles and zeros can be implemented by a cascade of unit cells containing a lumped RLC circuit and a transmission line. To get a wideband (40Ghz) model a suitable number of cells and a sub-picosecond simulation time step are required to get accurate results. This VF technique has been applied to a RG58 coaxial cable and the resulting circuit has been simulated in time domain using DWS. The results are then compared at 40Gb/s to those coming from CST Cable Studio up showing a very good agreement with a DWS/CST speedup of about 710X.
ALGORITHMS FOR PACKET ROUTING IN SWITCHING NETWORKS WITH RECONFIGURATION OVER...
Given a set of messages to be transmitted in packages from a set of sending stations to a set of
receiving stations, we are required to schedule the packages so as to achieve the minimum
possible time from the moment the 1st transmission initiates to the concluding of the last.
Preempting packets in order to reroute message remains, as part of some other packet to be
transmitted at a later time would be a great means to achieve our goal, if not for the fact that
each preemption will come with a reconfiguration cost that will delay our entire effort. The
problem has been extensively studied in the past and various algorithms have been proposed to
handle many variations of the problem. In this paper we propose an improved algorithm that we
call the Split-Graph Algorithm (SGA). To establish its efficiency we compare it, to two of the
algorithms developed in the past. These two are the best presented in bibliography so far, one in
terms of approximation ratio and one in terms of experimental results.
ESPM2 2018 - Automatic Generation of High-Order Finite-Difference Code with T...
This document summarizes research on optimizing an explicit finite-difference scheme for fluid dynamics simulations to achieve high performance on many-core systems like the PEZY-SC2 processor. The researchers developed a code generation framework that uses temporal blocking to optimize for low memory bandwidth. On a PEZY-SC2 system with 16 million cores, they achieved 4.78 PFlops and 21.5% efficiency, comparable to other works on higher bandwidth machines. Temporal blocking reduced the required memory bandwidth and allowed good weak scaling to larger core counts.
Dcom ppt(en.39) dpcm
Differential pulse-code modulation (DPCM) encodes signals by taking the difference between the current sample and a prediction of the next sample based on previous samples. This difference signal has a smaller range than the original signal and can be more efficiently quantized and encoded. DPCM uses a feedback loop where the difference is quantized, sent to the receiver, and added to the previous reconstructed sample to estimate the current sample. Adaptive delta modulation is a variant of DPCM where the quantization step size varies depending on the number of consecutive bits in the same direction to reduce errors. DPCM can reconstruct signals sampled above the Nyquist rate but may suffer from error drift or error propagation issues over multiple samples.
Aerial detection1
The document discusses several methods for aerial object detection:
1. ClusDet proposes a cluster proposal sub-network and scale network to detect sparse and clustered objects.
2. RoI Transformer introduces an RRoI learner and rotated ROI pooling to efficiently detect oriented objects.
3. SCRDet uses a sampling fusion network and multi-dimensional attention network to detect small, cluttered objects of arbitrary orientation.
4. GcGAN employs geometric consistency constraints to perform domain adaptation for aerial images accounting for geometric transformations.
5. CBAM is a convolutional block attention module tested on MS COCO for feature attention.
Texture Synthesis
The Image Quilting algorithm synthesizes new textures by taking patches from a sample texture and arranging them to match on overlapping regions, minimizing errors. It works on both stochastic and repeated textures. Patches are selected randomly from the sample but placed to match overlapping regions. A minimum error boundary cut is calculated between patches using dynamic programming. Parameters like patch size and overlap affect quality and speed. The algorithm generates realistic new textures but has room for improved blending and faster search methods.
Min max a counter-based algorithm for regular expression matching
MIN-MAX is an NFA-based algorithm for matching regular expressions composed of character classes with constraint repetitions (CCR). It is well-suited for parallel processing architectures like FPGAs. MIN-MAX uses (MIN, MAX) counters to dynamically track the lower and upper bounds of possible matching counts for each CCR engine, rather than actual matching counts. This counter-based design uses O(log n) memory bits to support constraint repetitions of n, rather than O(n) used in other solutions. MIN-MAX can resolve character class ambiguity and support overlapped matching when matching collisions are absent by using heuristic rules to assess collision absence. Testing on rule sets showed the majority see no collisions.
Taras Sereda "Waveglow. Generative modeling for audio synthesis"
Waveglow - fast, parallel non-autoregressive flow-based generative neural network. Combines insights from Glow and WaveNet and trained using single loss-function which maximizes the likelihood of the training data.
Capable to produce up to 22 faster then real-time high quality audio samples.
Website https://fwdays.com/en/event/data-science-fwdays-2019/review/waveglow-generative-modeling-for-audio-synthesis
Steganography using reversible texture synthesis
Our approach for steganography uses reversible texture synthesis to conceal secret messages. A smaller source texture is resampled to synthesize a new texture image of arbitrary size, embedding messages during this process. This allows extraction of both the secret messages and original source texture from the synthesized stego texture. Our scheme offers variable embedding capacity proportional to the stego texture size, resistance to steganalysis, and reversible recovery of the source texture.
Peak to Average Power Ratio Performance of a 16-QAM/OFDM System with Partial ...
Abstract : Orthogonal Frequency Division Multiplexing is a spectral efficient transmission format. But it suffers from the problem of high Peak to Average Power Ratio. This high Peak to Average Power Ratio leads the power amplifier into saturation and results in non-linear distortion at the output of power amplifier. Different peak to average power ratio reduction techniques are available in literature. This paper computes the performance of partial transmit scheme, which is one of the important peak to average power ratio reduction technique Keywords: Orthogonal Frequency Division Multiplexing, Partial Transmit Sequence, Peak to Average Power Ratio, Power Amplifier, Scrambling Techniques.
LSQR-Based-Precoding
This document proposes a low-complexity linear precoding scheme called LSQR-based precoding for massive MIMO systems. It aims to reduce the complexity of conventional zero-forcing precoding, which requires computationally expensive matrix inversion. The proposed method uses an iterative LSQR algorithm based on QR decomposition to compute the precoding matrix without direct matrix inversion. Simulation results show it can achieve near-optimal performance of zero-forcing precoding with lower complexity.
parallel programming in the PVM-Reduction operation-advanced system architecture
Reduction operations take multiple values and reduce them to a single value. Common reduction operations include finding the maximum/minimum value, summing/multiplying all elements, or applying an associative binary operator. PVM supports reductions using the pvm_reduce() function, which takes parameters like the reduction function, data array, data type, group name, and root process. An example shows summing the elements of an array across three tasks in a group, with the results returned to the root task.
Beyond the bits – co operative packet recovery
This document summarizes a research paper on improving wireless packet recovery through cooperative packet combining using physical layer information. The proposed Soft system architecture sits between the MAC and physical layers to combine packets received across multiple radios using "soft" values that capture signal strength. Experimental results show the Soft approach increases packet delivery rates and reduces retransmissions compared to other combining approaches like maximum confidence and majority vote, by better exploiting spatial and temporal diversity through the use of soft values. The Soft system has been implemented on software defined radios and tested using modulation schemes like GMSK and DBPSK.
IGARSSWellLog_Vancouver_07_29.pptx
This document describes using radial basis function networks (RBF) for well log data inversion. It proposes modifying a conventional two-layer RBF and introducing a three-layer RBF. Simulation experiments show the three-layer 10-27-9-10 RBF model achieves the smallest error in testing simulated well log data. When applied to real well log data, the 10-27-9-10 RBF model provides an acceptable inversion of true formation conductivity from apparent conductivity measurements.
Fpga implementation of truncated multiplier for array multiplication
The document discusses designing a truncated multiplier for array multiplication on an FPGA. It proposes two improvements: 1) accumulating partial product bits in a carry-save format to reduce area and improve speed compared to other truncated array multipliers, and 2) a new pseudo-carry compensated truncation scheme with an adaptive compensation circuit and fixed bias to minimize truncation error for unsigned integer multiplication. The proposed truncated multiplier is expected to consume less power and area while improving truncation error efficiency compared to existing designs.
All-Reduce and Prefix-Sum Operations
In all-reduce, each node starts with a buffer of size m and the final results of the operation are identical buffers of size m on each node that are formed by combining the original p buffers using an associative operator.
1801.06434
The document proposes a new convolutional block called EffNet that aims to improve computational efficiency of convolutional neural networks while maintaining accuracy. EffNet separates the 3x3 convolution into two 1x3 and 3x1 convolutions, applies max pooling after the first convolution, and uses a less aggressive bottleneck than prior works to reduce data compression. Experiments on small image datasets show EffNet can replace convolutional layers in efficient networks without significant loss of accuracy compared to baseline and prior methods like MobileNet and ShuffleNet.
A Review of Different Methods for Booth Multiplier
In this review paper, different type of implementation of Booth multiplier has been studied. Multipliers has great importance in digital signal processor, so designing a high-speed multiplier is the need of the hour. Advantages of using modified booth multiplier algorithm is that the number of partial product is reduced. Different types of addition algorithms are also discussed which are used for addition operation of multiplier.
Improving The Performance of Viterbi Decoder using Window System
An efficient Viterbi decoder is introduced in this paper; it is called Viterbi decoder with window system. The simulation results, over Gaussian channels, are performed from rate 1/2, 1/3 and 2/3 joined to TCM encoder with memory in order of 2, 3. These results show that the proposed scheme outperforms the classical Viterbi by a gain of 1 dB. On the other hand, we propose a function called RSCPOLY2TRELLIS, for recursive systematic convolutional (RSC) encoder which creates the trellis structure of a recursive systematic convolutional encoder from the matrix “H”. Moreover, we present a comparison between the decoding algorithms of the TCM encoder like Viterbi soft and hard, and the variants of the MAP decoder known as BCJR or forward-backward algorithm which is very performant in decoding TCM, but depends on the size of the code, the memory, and the CPU requirements of the application.
Reducing Power Consumption during Test Application by Test Vector Ordering
Reducing Power Consumption during Test Application by Test Vector OrderingInternational Journal of Engineering Inventions www.ijeijournal.com
The document describes techniques for reducing power consumption during integrated circuit testing by reordering test vectors. It discusses two algorithms: 1) Minimum Transition (MT)-fill, which fills don't care bits in a way to minimize transitions and reduce average/peak power. 2) Hamming distance-based technique, which divides test data into blocks, calculates block frequencies, and merges blocks with low Hamming distance to increase compression ratio while reducing dynamic power. Experimental results showed MT-fill achieved lower average/peak power while Hamming distance-based method yielded higher compression. The proposed approach reorders test vectors to minimize switching activity and reduce test power.JOURNAL PAPER
The document describes a proposed low power, high speed multiplier circuit designed using a technique called New Vedic VLSI. The multiplier uses a Vedic multiplication method to generate partial products faster. An addition section with a carry look ahead adder is used to sum the partial products, providing faster operation than a ripple carry adder. Simulation results showed the proposed design consumed 41.868 μw of power over 10ns, compared to 65.4 μw for a design using a ripple carry adder, for a 23.592 μw power reduction. The high speed, low power multiplier design is suitable for applications like digital signal processors that require efficient multiplication.
More Related Content
What's hot
High throughput finite field multipliers using redundant basis for fpga and a...
High throughput finite field multipliers using redundant basis for fpga and a...LogicMindtech Nologies
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 VijayangarDWS vs CST CABLE STUDIO SIMULATION SPEEDUP
A classical way to model lossy TL is to apply the Vector Fitting (VF) technique to theoretical frequency domain impedance expression taking into account both conductor and dielectric losses. The resulting poles and zeros can be implemented by a cascade of unit cells containing a lumped RLC circuit and a transmission line. To get a wideband (40Ghz) model a suitable number of cells and a sub-picosecond simulation time step are required to get accurate results. This VF technique has been applied to a RG58 coaxial cable and the resulting circuit has been simulated in time domain using DWS. The results are then compared at 40Gb/s to those coming from CST Cable Studio up showing a very good agreement with a DWS/CST speedup of about 710X.
ALGORITHMS FOR PACKET ROUTING IN SWITCHING NETWORKS WITH RECONFIGURATION OVER...
Given a set of messages to be transmitted in packages from a set of sending stations to a set of
receiving stations, we are required to schedule the packages so as to achieve the minimum
possible time from the moment the 1st transmission initiates to the concluding of the last.
Preempting packets in order to reroute message remains, as part of some other packet to be
transmitted at a later time would be a great means to achieve our goal, if not for the fact that
each preemption will come with a reconfiguration cost that will delay our entire effort. The
problem has been extensively studied in the past and various algorithms have been proposed to
handle many variations of the problem. In this paper we propose an improved algorithm that we
call the Split-Graph Algorithm (SGA). To establish its efficiency we compare it, to two of the
algorithms developed in the past. These two are the best presented in bibliography so far, one in
terms of approximation ratio and one in terms of experimental results.
ESPM2 2018 - Automatic Generation of High-Order Finite-Difference Code with T...
This document summarizes research on optimizing an explicit finite-difference scheme for fluid dynamics simulations to achieve high performance on many-core systems like the PEZY-SC2 processor. The researchers developed a code generation framework that uses temporal blocking to optimize for low memory bandwidth. On a PEZY-SC2 system with 16 million cores, they achieved 4.78 PFlops and 21.5% efficiency, comparable to other works on higher bandwidth machines. Temporal blocking reduced the required memory bandwidth and allowed good weak scaling to larger core counts.
Dcom ppt(en.39) dpcm
Differential pulse-code modulation (DPCM) encodes signals by taking the difference between the current sample and a prediction of the next sample based on previous samples. This difference signal has a smaller range than the original signal and can be more efficiently quantized and encoded. DPCM uses a feedback loop where the difference is quantized, sent to the receiver, and added to the previous reconstructed sample to estimate the current sample. Adaptive delta modulation is a variant of DPCM where the quantization step size varies depending on the number of consecutive bits in the same direction to reduce errors. DPCM can reconstruct signals sampled above the Nyquist rate but may suffer from error drift or error propagation issues over multiple samples.
Aerial detection1
The document discusses several methods for aerial object detection:
1. ClusDet proposes a cluster proposal sub-network and scale network to detect sparse and clustered objects.
2. RoI Transformer introduces an RRoI learner and rotated ROI pooling to efficiently detect oriented objects.
3. SCRDet uses a sampling fusion network and multi-dimensional attention network to detect small, cluttered objects of arbitrary orientation.
4. GcGAN employs geometric consistency constraints to perform domain adaptation for aerial images accounting for geometric transformations.
5. CBAM is a convolutional block attention module tested on MS COCO for feature attention.
Texture Synthesis
The Image Quilting algorithm synthesizes new textures by taking patches from a sample texture and arranging them to match on overlapping regions, minimizing errors. It works on both stochastic and repeated textures. Patches are selected randomly from the sample but placed to match overlapping regions. A minimum error boundary cut is calculated between patches using dynamic programming. Parameters like patch size and overlap affect quality and speed. The algorithm generates realistic new textures but has room for improved blending and faster search methods.
Min max a counter-based algorithm for regular expression matching
MIN-MAX is an NFA-based algorithm for matching regular expressions composed of character classes with constraint repetitions (CCR). It is well-suited for parallel processing architectures like FPGAs. MIN-MAX uses (MIN, MAX) counters to dynamically track the lower and upper bounds of possible matching counts for each CCR engine, rather than actual matching counts. This counter-based design uses O(log n) memory bits to support constraint repetitions of n, rather than O(n) used in other solutions. MIN-MAX can resolve character class ambiguity and support overlapped matching when matching collisions are absent by using heuristic rules to assess collision absence. Testing on rule sets showed the majority see no collisions.
Taras Sereda "Waveglow. Generative modeling for audio synthesis"
Waveglow - fast, parallel non-autoregressive flow-based generative neural network. Combines insights from Glow and WaveNet and trained using single loss-function which maximizes the likelihood of the training data.
Capable to produce up to 22 faster then real-time high quality audio samples.
Website https://fwdays.com/en/event/data-science-fwdays-2019/review/waveglow-generative-modeling-for-audio-synthesis
Steganography using reversible texture synthesis
Our approach for steganography uses reversible texture synthesis to conceal secret messages. A smaller source texture is resampled to synthesize a new texture image of arbitrary size, embedding messages during this process. This allows extraction of both the secret messages and original source texture from the synthesized stego texture. Our scheme offers variable embedding capacity proportional to the stego texture size, resistance to steganalysis, and reversible recovery of the source texture.
Peak to Average Power Ratio Performance of a 16-QAM/OFDM System with Partial ...
Abstract : Orthogonal Frequency Division Multiplexing is a spectral efficient transmission format. But it suffers from the problem of high Peak to Average Power Ratio. This high Peak to Average Power Ratio leads the power amplifier into saturation and results in non-linear distortion at the output of power amplifier. Different peak to average power ratio reduction techniques are available in literature. This paper computes the performance of partial transmit scheme, which is one of the important peak to average power ratio reduction technique Keywords: Orthogonal Frequency Division Multiplexing, Partial Transmit Sequence, Peak to Average Power Ratio, Power Amplifier, Scrambling Techniques.
LSQR-Based-Precoding
This document proposes a low-complexity linear precoding scheme called LSQR-based precoding for massive MIMO systems. It aims to reduce the complexity of conventional zero-forcing precoding, which requires computationally expensive matrix inversion. The proposed method uses an iterative LSQR algorithm based on QR decomposition to compute the precoding matrix without direct matrix inversion. Simulation results show it can achieve near-optimal performance of zero-forcing precoding with lower complexity.
parallel programming in the PVM-Reduction operation-advanced system architecture
Reduction operations take multiple values and reduce them to a single value. Common reduction operations include finding the maximum/minimum value, summing/multiplying all elements, or applying an associative binary operator. PVM supports reductions using the pvm_reduce() function, which takes parameters like the reduction function, data array, data type, group name, and root process. An example shows summing the elements of an array across three tasks in a group, with the results returned to the root task.
Beyond the bits – co operative packet recovery
This document summarizes a research paper on improving wireless packet recovery through cooperative packet combining using physical layer information. The proposed Soft system architecture sits between the MAC and physical layers to combine packets received across multiple radios using "soft" values that capture signal strength. Experimental results show the Soft approach increases packet delivery rates and reduces retransmissions compared to other combining approaches like maximum confidence and majority vote, by better exploiting spatial and temporal diversity through the use of soft values. The Soft system has been implemented on software defined radios and tested using modulation schemes like GMSK and DBPSK.
IGARSSWellLog_Vancouver_07_29.pptx
This document describes using radial basis function networks (RBF) for well log data inversion. It proposes modifying a conventional two-layer RBF and introducing a three-layer RBF. Simulation experiments show the three-layer 10-27-9-10 RBF model achieves the smallest error in testing simulated well log data. When applied to real well log data, the 10-27-9-10 RBF model provides an acceptable inversion of true formation conductivity from apparent conductivity measurements.
Fpga implementation of truncated multiplier for array multiplication
The document discusses designing a truncated multiplier for array multiplication on an FPGA. It proposes two improvements: 1) accumulating partial product bits in a carry-save format to reduce area and improve speed compared to other truncated array multipliers, and 2) a new pseudo-carry compensated truncation scheme with an adaptive compensation circuit and fixed bias to minimize truncation error for unsigned integer multiplication. The proposed truncated multiplier is expected to consume less power and area while improving truncation error efficiency compared to existing designs.
All-Reduce and Prefix-Sum Operations
In all-reduce, each node starts with a buffer of size m and the final results of the operation are identical buffers of size m on each node that are formed by combining the original p buffers using an associative operator.
What's hot (17)
High throughput finite field multipliers using redundant basis for fpga and a...
High throughput finite field multipliers using redundant basis for fpga and a...
ALGORITHMS FOR PACKET ROUTING IN SWITCHING NETWORKS WITH RECONFIGURATION OVER...
ALGORITHMS FOR PACKET ROUTING IN SWITCHING NETWORKS WITH RECONFIGURATION OVER...
ESPM2 2018 - Automatic Generation of High-Order Finite-Difference Code with T...
ESPM2 2018 - Automatic Generation of High-Order Finite-Difference Code with T...
Min max a counter-based algorithm for regular expression matching
Min max a counter-based algorithm for regular expression matching
Taras Sereda "Waveglow. Generative modeling for audio synthesis"
Taras Sereda "Waveglow. Generative modeling for audio synthesis"
Peak to Average Power Ratio Performance of a 16-QAM/OFDM System with Partial ...
Peak to Average Power Ratio Performance of a 16-QAM/OFDM System with Partial ...
parallel programming in the PVM-Reduction operation-advanced system architecture
parallel programming in the PVM-Reduction operation-advanced system architecture
Fpga implementation of truncated multiplier for array multiplication
Fpga implementation of truncated multiplier for array multiplication
Similar to Low-Complexity Digit-Serial Multiplier Over GF(2m) Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition
1801.06434
The document proposes a new convolutional block called EffNet that aims to improve computational efficiency of convolutional neural networks while maintaining accuracy. EffNet separates the 3x3 convolution into two 1x3 and 3x1 convolutions, applies max pooling after the first convolution, and uses a less aggressive bottleneck than prior works to reduce data compression. Experiments on small image datasets show EffNet can replace convolutional layers in efficient networks without significant loss of accuracy compared to baseline and prior methods like MobileNet and ShuffleNet.
A Review of Different Methods for Booth Multiplier
In this review paper, different type of implementation of Booth multiplier has been studied. Multipliers has great importance in digital signal processor, so designing a high-speed multiplier is the need of the hour. Advantages of using modified booth multiplier algorithm is that the number of partial product is reduced. Different types of addition algorithms are also discussed which are used for addition operation of multiplier.
Improving The Performance of Viterbi Decoder using Window System
An efficient Viterbi decoder is introduced in this paper; it is called Viterbi decoder with window system. The simulation results, over Gaussian channels, are performed from rate 1/2, 1/3 and 2/3 joined to TCM encoder with memory in order of 2, 3. These results show that the proposed scheme outperforms the classical Viterbi by a gain of 1 dB. On the other hand, we propose a function called RSCPOLY2TRELLIS, for recursive systematic convolutional (RSC) encoder which creates the trellis structure of a recursive systematic convolutional encoder from the matrix “H”. Moreover, we present a comparison between the decoding algorithms of the TCM encoder like Viterbi soft and hard, and the variants of the MAP decoder known as BCJR or forward-backward algorithm which is very performant in decoding TCM, but depends on the size of the code, the memory, and the CPU requirements of the application.
Reducing Power Consumption during Test Application by Test Vector Ordering
Reducing Power Consumption during Test Application by Test Vector OrderingInternational Journal of Engineering Inventions www.ijeijournal.com
The document describes techniques for reducing power consumption during integrated circuit testing by reordering test vectors. It discusses two algorithms: 1) Minimum Transition (MT)-fill, which fills don't care bits in a way to minimize transitions and reduce average/peak power. 2) Hamming distance-based technique, which divides test data into blocks, calculates block frequencies, and merges blocks with low Hamming distance to increase compression ratio while reducing dynamic power. Experimental results showed MT-fill achieved lower average/peak power while Hamming distance-based method yielded higher compression. The proposed approach reorders test vectors to minimize switching activity and reduce test power.JOURNAL PAPER
The document describes a proposed low power, high speed multiplier circuit designed using a technique called New Vedic VLSI. The multiplier uses a Vedic multiplication method to generate partial products faster. An addition section with a carry look ahead adder is used to sum the partial products, providing faster operation than a ripple carry adder. Simulation results showed the proposed design consumed 41.868 μw of power over 10ns, compared to 65.4 μw for a design using a ripple carry adder, for a 23.592 μw power reduction. The high speed, low power multiplier design is suitable for applications like digital signal processors that require efficient multiplication.
32 bit×32 bit multiprecision razor based dynamic
This document summarizes a research paper that presents a reconfigurable multiplier circuit that can dynamically adjust its precision, voltage, and frequency to minimize power consumption based on workload. It incorporates multiple smaller precision multipliers that can operate independently or in parallel. Razor flip-flops and dynamic voltage scaling are used to aggressively lower the voltage while ensuring correctness. Experimental results showed the design achieved up to 86.3% power reduction with only 11.1% area overhead compared to a fixed-width multiplier.
High performance nb-ldpc decoder with reduction of message exchange
High performance nb-ldpc decoder with reduction of message exchange High performance nb-ldpc decoder with reduction of message exchange High performance nb-ldpc decoder with reduction of message exchange High performance nb-ldpc decoder with reduction of message exchange
Novel design algorithm for low complexity programmable fir filters based on e...
Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Nagar, Chennai-83. Landmark: Next to Kotak Mahendra Bank/Bharath Scans
Landline: (044) - 43012642 / Mobile: (0)9952649690
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry - 9
Landmark: Opp. to Thattanchavady Industrial Estate & Next to VVP Nagar Arch.
Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690
HIGH-SPEED LOW-POWER VITERBI DECODER DESIGN FOR TCM DECODERS
This document presents a design for a high-speed low-power Viterbi decoder for trellis coded modulation decoders. It proposes a precomputation architecture incorporated with the T-algorithm to reduce power consumption without significantly degrading decoding speed. The architecture calculates branch metric minimum values in advance and compares them to path metrics to eliminate unlikely paths early. Implementation in Verilog and synthesis results show the proposed architecture operates at a lower supply voltage for moderate throughput applications, achieving quadratic power reduction over conventional decoders.
ENHANCEMENT OF TCP FAIRNESS IN IEEE 802.11 NETWORKS
The usage of fixed buffers in 802.11 networks has a number of disadvantages associated with
it. This includes high delay, reduced throughput and inefficient channel utilisation. To
overcome this, a dynamic buffer sizing algorithm, the A* algorithm has been implemented at
the access point. In this algorithm buffer size is dynamically adjusted depending upon the
current channel conditions and hence delay is reduced and the throughput is maintained. But
in 802.11 networks with DCF collision avoidance mechanism, it creates significant amount of
unfairness between the upstream and downstream TCP flows, with clusters of upstream ACKs
blocking downstream data at the access point. Thus a variation of the Explicit Window
Adaptation (EWA) scheme has been used to regulate the queuing time of the upload clients by
calculating the feedback value at the access point. This creates fairness and increases the number of transmission opportunities for the downstream traffic
Design and Implementation of a Programmable Truncated Multiplier
Truncated multiplication reduces part of the power required by multipliers by only computing the most-significant bits of the product. The most common approach to truncation includes physical reduction of the partial product matrix and a compensation for the reduced bits via different hardware compensation sub circuits. However, this result in fixed systems optimized for a given application at design time. A novel approach to truncation is proposed, where a full precision multiplier is implemented, but the active section of the partial product matrix is selected dynamically at run-time. This allows a power reduction trade off against signal degradation which can be modified at run time. Such architecture brings together the power reduction benefits from truncated multipliers and the flexibility of reconfigurable and general purpose devices. Efficient implementation of such a multiplier is presented in a custom digital signal processor where the concept of software compensation is introduced and analysed for different applications. Experimental results and power measurements are studied, including power measurements from both post-synthesis simulations and a fabricated IC implementation. This is the first system-level DSP core using a fine-grain truncated multiplier. Results demonstrate the effectiveness of the programmable truncated MAC (PTMAC) in achieving power reduction, with minimum impact on functionality for a number of applications. Software compensation also shown to be effective when deploying truncated multipliers in a system.
Modified approximate 8-point multiplier less DCT like transform
Discrete Cosine Transform (DCT) is widely usedtransformation for compression in image and video standardslike H.264 or MPEGv4, JPEG etc. Currently the new standarddeveloped Codec is Highly Efficient Video Coding (HEVC) orH.265. With the help of the transformation matrix the computational cost can be dynamically reduce. This paper proposesa novel approach of multiplier-less modified approximate DCT like transformalgorithm and also comparison with exact DCT algorithm and theapproximate DCT like transform. This proposed algorithm willhave lower computational complexity. Furthermore, the proposedalgorithm will be modular in approach, and suitable for pipelinedVLSI implementation.
[Paper] Multiscale Vision Transformers(MVit)
This document summarizes research on multiscale vision transformers (MViT). MViT builds on the transformer architecture by incorporating a multiscale pyramid of features, with early layers operating at high resolution to model low-level visual information and deeper layers focusing on coarse, complex features. MViT introduces multi-head pooling attention to operate at changing resolutions, and uses separate spatial and temporal embeddings. Experiments on Kinetics-400 and ImageNet show MViT achieves better accuracy than ViT baselines with fewer parameters and lower computational cost. Ablation studies validate design choices in MViT like input sampling and stage distribution.
MDCT audio coding with pulse vector quantizers
This paper describes a novel audio coding algorithm that is a building block in the recently standardized 3GPP EVS codec. The presented scheme operates in the Modified Discrete Cosine Transform (MDCT) domain and deploys a Split-PVQ pulse coding quantizer, a noise-fill, and a gain control optimized for the quantizer’s properties. A complexity analysis in terms of WMOPS is presented to illustrate that the proposed Split-PVQ concept and dynamic range optimized MPVQ-indexing are suitable for real-time audio coding.
A Low Power High Bandwidth Four Quadrant Analog Multiplier in 32 NM CNFET Tec...
Carbon Nanotube Field Effect Transistor (CNFET) is a promising new technology that overcomes several limitations of traditional silicon integrated circuit technology. In recent years, the potential of CNFET for analog circuit applications has been explored. This paper proposes a novel four quadrant analog multiplier design using CNFETs. The simulation based on 32nm CNFET technology shows that the proposed multiplier has very low harmonic distortion (<0.45%), large input range (±400mV), large bandwidth (~50GHz) and low power consumption (~247µW), while operating at a supply voltage of ±0.9V.
Multi-carrier Equalization by Restoration of RedundancY (MERRY) for Adaptive ...
This paper proposes a new blind adaptive channel shortening approach for multi-carrier systems. The performance of the discrete Fourier transform-DMT (DFT-DMT) system is investigated with the proposed DST-DMT system over the standard carrier serving area (CSA) loop1. Enhanced bit rates demonstrated and less complexity also involved by the simulation of the DST-DMT system.
Design and testing of systolic array multiplier using fault injecting schemes
Nowadays low power design circuits are major important for data transmission and processing the information among various system designs. One of the major multipliers used for synchronizing the data transmission is the systolic array multiplier, low power designs are mostly used for increasing the performance and reducing the hardware complexity. Among all the mathematical operations, multiplier plays a major role where it processes more information and with the high complexity of circuit in the existing irreversible design. We develop a systolic array multiplier using reversible gates for low power appliances, faults and coverage of the reversible logic are calculated in this paper. To improvise more, we introduced a reversible logic gate and tested the reversible systolic array multiplier using the fault injection method of built-in self-test block observer (BILBO) in which all corner cases are covered which shows 97% coverage compared with existing designs. Finally, Xilinx ISE 14.7 was used for synthesis and simulation results and compared parameters with existing designs which prove more efficiency.
5. CNTFET-based design of ternary.pdf
This document describes a novel design of ternary logic gates using carbon nanotube field-effect transistors (CNTFETs). The authors propose a CNTFET-based design for ternary logic gates that eliminates the need for large off-chip resistors used in previous designs. Simulation results show the proposed ternary logic gates consume significantly lower power and delay compared to previous resistive-load CNTFET gate implementations. When used in arithmetic circuits like a full adder and multiplier, the proposed ternary gates combined with binary gates can reduce power delay product by over 90%.
Colfax-Winograd-Summary _final (1)
This document describes an implementation of fast image convolution using Winograd's minimal filtering algorithm for 3x3 filters. The implementation combines C code with BLAS calls for GEMM. It is optimized for Intel Xeon Phi processors and uses Intel MKL for BLAS calls. Benchmarking shows the implementation achieves 10% greater overall performance than MKL convolution and can be up to 1.5x faster for some layers and up to 4x slower for others, indicating potential for a hybrid approach. High-bandwidth memory on Intel Xeon Phi significantly improves efficiency of fast convolution.
DSP IEEE paper
This document discusses the design of a pipelined architecture for sparse matrix-vector multiplication on an FPGA. It begins with introductions to matrices, linear algebra, and matrix multiplication. It then describes the objective of building a hardware processor to perform multiple arithmetic operations in parallel through pipelining. The document reviews literature on pipelined floating point units. It provides details on the proposed pipelined design for sparse matrix-vector multiplication, including storing vector values in on-chip memory and using multiple pipelines to complete results in parallel. Simulation results showing reduced power and execution time are presented before concluding the design can improve performance for scientific applications.
Similar to Low-Complexity Digit-Serial Multiplier Over GF(2m) Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition (20)
A Review of Different Methods for Booth Multiplier
A Review of Different Methods for Booth Multiplier
Improving The Performance of Viterbi Decoder using Window System
Improving The Performance of Viterbi Decoder using Window System
Reducing Power Consumption during Test Application by Test Vector Ordering
Reducing Power Consumption during Test Application by Test Vector Ordering
High performance nb-ldpc decoder with reduction of message exchange
High performance nb-ldpc decoder with reduction of message exchange
Novel design algorithm for low complexity programmable fir filters based on e...
Novel design algorithm for low complexity programmable fir filters based on e...
HIGH-SPEED LOW-POWER VITERBI DECODER DESIGN FOR TCM DECODERS
HIGH-SPEED LOW-POWER VITERBI DECODER DESIGN FOR TCM DECODERS
ENHANCEMENT OF TCP FAIRNESS IN IEEE 802.11 NETWORKS
ENHANCEMENT OF TCP FAIRNESS IN IEEE 802.11 NETWORKS
Design and Implementation of a Programmable Truncated Multiplier
Design and Implementation of a Programmable Truncated Multiplier
Modified approximate 8-point multiplier less DCT like transform
Modified approximate 8-point multiplier less DCT like transform
A Low Power High Bandwidth Four Quadrant Analog Multiplier in 32 NM CNFET Tec...
A Low Power High Bandwidth Four Quadrant Analog Multiplier in 32 NM CNFET Tec...
Multi-carrier Equalization by Restoration of RedundancY (MERRY) for Adaptive ...
Multi-carrier Equalization by Restoration of RedundancY (MERRY) for Adaptive ...
Design and testing of systolic array multiplier using fault injecting schemes
Design and testing of systolic array multiplier using fault injecting schemes
More from JAYAPRAKASH JPINFOTECH
Java Web Application Project Titles 2023-2024.pdf
Java Web Application Project Titles 2023-2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
Java Application Projects 2023 - 2024
Java Web Application Project Titles
E-Authentication System using QR Code and OTP
Student Attendance System Using QR-Code
Hall Ticket Generation System with Integrated QR Code
Certificate Authentication System using QR Code
QR Code-based Smart Vehicle Parking Management System
Employee Attendance System using QR Code
QR Code based Secure Online Voting System
QR Code Based Smart Online Student Attendance System
Cyber Security Projects
Detecting Malicious Facebook Applications
Detection of Bullying Messages in Social Media
Enhanced Secure Login System using Captcha as Graphical Passwords
Filtering Unwanted Messages in Online Social Networking User walls
Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
Credit Card Fraud Detection in Online Shopping System
Enhanced Data Security with Onion Encryption and Key Rotation
Detection of Offensive Messages in Social Media to Protect Online Safety
Healthcare Projects
Diabetes Prediction using Data Mining in Healthcare Management System
Online Hospital Management System
Online Oxygen Management System
Enhanced Hospital Admission System to Mitigate Crowding
Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
Online Tender Management System
Online Toll Gate Management System
Online Election System
Panchayat Union Automation System
Smart City Project - A Complete City Guide Using Database
Visa Processing Management System
Cricket Win Predictor using Machine Learning
College Management System
Online college Counselling system
Online No Dues Management System
Online Student Mentoring System
Online Tuition Management System
Bike Store Management System
Computer Inventory System
Distilled Water Management System
Donation Tracking System | Online Charity Management System
Online Bug Tracking System
Online Content Based Image Retrieval System with Ranking Model
Online Crime File Management System
Online Courier Management System
Online Blood Bank Management System
Online Secure Organ Donation Management System
Connecting Social Media to E-Commerce
Twitter Based Tweet Summarization
Mental Disorders Detection via Online Social Media Mining
Detecting Stress Based on Social Interactions in Social Networks
Knowledge Sharing Based Online Social Network with Question and Answering System
Predicting Suicide Intuition in Online Social Network
Predicting Emotions of User in Online Social Network
Employee Payroll Management System
Human Resource Management System
Online Employee Tracking System
College Admission Predictor
Online Book Recommendation System
Personalized Movie Recommendation System
Product Recommendation System in Online Social Network
Mining Online Product Evaluation System based on Ratings and Review Comments
Online Book Buying and Selling
Dot Net Final Year IEEE Project Titles.pdf
Dot Net Final Year IEEE Project Titles.pdf
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
MATLAB Final Year IEEE Project Titles 2023 - 2024.pdf
The document provides details about MATLAB final year projects for 2023-2024 in various domains including medical image processing, face recognition, facial expression analysis, agriculture, transportation systems, biometrics, object detection and recognition, and data hiding/steganography. It lists 25 MATLAB projects related to deep learning and image processing with project codes and titles, domains, algorithms/methods used, and programming language/year. It also provides contact information for the organization providing these project ideas.
Python IEEE Project Titles 2023 - 2024.pdf
Python IEEE Papers / Projects 2023 – 2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
DEEP LEARNING IEEE PROJECTS 2023
Blood Cancer Identification using Hybrid Ensemble Deep Learning Technique
Breast Cancer Classification using CNN with Transfer Learning Models
Calorie Estimation of Food and Beverages using Deep Learning
Detection and Identification of Pills using Machine Learning Models
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Development of Hybrid Image Caption Generation Method using Deep Learning
Dog Breed Classification using Inception-ResNet-V2
Forest Fire Detection using Convolutional Neural Networks (CNN)
Digital Image Forgery Detection Using Deep Learning
Image-Based Bird Species Identification Using Machine Learning
Kidney Cancer Detection using Deep Learning Models
Medicinal Herbs Identification
Monkeypox Diagnosis with Interpretable Deep Learning
Music Genre Classification Using Convolutional Neural Network
Pancreatic Cancer Classification using Deep Learning
Prediction of Lung Cancer using Convolution Neural Networks
Signature Fraud Detection using Deep Learning
Skin Cancer Prediction Using Deep Learning Techniques
Traffic Sign Classification using Deep Learning
Disease Classification in Wheat from Images Using CNN
Detection of Lungs Cancer through Computed Tomographic Images using Deep Learning
MACHINE LEARNING IEEE PROJECTS 2023
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
A Machine Learning Model to Predict a Diagnosis of Brain Stroke
CO2 Emission Rating by Vehicles Using Data Science
Cyber Hacking Breaches Prediction and Detection Using Machine Learning
Fake Profile Detection on Social Networking Websites using Machine Learning
Crime Prediction Using Machine Learning and Deep Learning
Drug Recommendation System in Medical Emergencies using Machine Learning
Efficient Machine Learning Algorithm for Future Gold Price Prediction
Heart Disease Prediction With Machine Learning
House Price Prediction using Machine Learning Algorithm
Human Stress Detection Based on Sleeping Habits Using Machine Learning Algorithms
Python ieee project titles 2021 - 2022 | Machine Learning Final Year Project...
Python ieee project titles 2021 - 2022 | Machine Learning Final Year Project...JAYAPRAKASH JPINFOTECH
Python ieee project titles 2021 - 2022 | Machine Learning Final Year Projects 2021 - 2022
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
python projects,
python projects for beginners,
python projects with source code,
python projects source code,
python projects beginners,
python projects in github,
python projects ideas,
python projects github,
python projects on github,
python projects for beginners with code,
python projects simple,
python projects for resume,
python projects for beginners with source code,
python projects for class 12,
python projects for class 12 with source code,
python projects with source code github,
python projects list,
python projects intermediate,
python projects sample,
python projects with database,
python projects to practice,
python projects for intermediate,
python projects practice,
python project code,
Spammer detection and fake user Identification on Social Networks
This document summarizes research on detecting spammers and fake users on social networks like Twitter. It presents a taxonomy that classifies techniques for detecting fake content, spam based on URLs, spam in trending topics, and fake users. The techniques are compared based on features like user, content, graph, structure, and time. The goal is to provide researchers a useful overview of recent developments in detecting Twitter spam through different approaches.
Sentiment Classification using N-gram IDF and Automated Machine Learning
Sentiment Classification using N-gram IDF and Automated Machine Learning
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...
Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.orgFunkR-pDAE: Personalized Project Recommendation Using Deep Learning
FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse...
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse...JAYAPRAKASH JPINFOTECH
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.orgCrop Yield Prediction and Efficient use of Fertilizers
Crop Yield Prediction and Efficient use of Fertilizers
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Collaborative Filtering-based Electricity Plan Recommender System
Collaborative Filtering-based Electricity Plan Recommender System
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Achieving Data Truthfulness and Privacy Preservation in Data Markets
Achieving Data Truthfulness and Privacy Preservation in Data Markets
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average...
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average...JAYAPRAKASH JPINFOTECH
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average Model
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.orgTowards Fast and Reliable Multi-hop Routing in VANETs
The document proposes a new multi-hop broadcasting protocol called the Intelligent Forwarding Protocol (IFP) for disseminating safety messages in vehicular ad-hoc networks (VANETs). IFP exploits handshake-less communication, ACK decoupling, and efficient collision resolution to significantly reduce message propagation delays and improve packet delivery ratios compared to existing schemes. The paper presents an in-depth analysis and optimization of IFP using theoretical modeling, simulations, and real-world experimentation.
Selective Authentication Based Geographic Opportunistic Routing in Wireless S...
Selective Authentication Based Geographic Opportunistic Routing in Wireless S...JAYAPRAKASH JPINFOTECH
This document proposes a selective authentication-based geographic opportunistic routing (SelGOR) for wireless sensor networks used in IoT applications. SelGOR aims to guarantee reliable data delivery over unstable wireless links while defending against DoS attacks. It analyzes statistical state information to improve routing efficiency and develops an entropy-based selective authentication algorithm to ensure data integrity and isolate attackers. Simulations show SelGOR provides reliable and authentic data delivery with 50% lower computational cost than other related solutions.Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc NetworksJAYAPRAKASH JPINFOTECH
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.orgPrivacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in VANETs
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.orgNovel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Node-Level Trust Evaluation in Wireless Sensor Networks
Node-Level Trust Evaluation in Wireless Sensor Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
More from JAYAPRAKASH JPINFOTECH (20)
MATLAB Final Year IEEE Project Titles 2023 - 2024.pdf
MATLAB Final Year IEEE Project Titles 2023 - 2024.pdf
Python ieee project titles 2021 - 2022 | Machine Learning Final Year Project...
Python ieee project titles 2021 - 2022 | Machine Learning Final Year Project...
Spammer detection and fake user Identification on Social Networks
Spammer detection and fake user Identification on Social Networks
Sentiment Classification using N-gram IDF and Automated Machine Learning
Sentiment Classification using N-gram IDF and Automated Machine Learning
Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...
Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...
FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse...
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse...
Crop Yield Prediction and Efficient use of Fertilizers
Crop Yield Prediction and Efficient use of Fertilizers
Collaborative Filtering-based Electricity Plan Recommender System
Collaborative Filtering-based Electricity Plan Recommender System
Achieving Data Truthfulness and Privacy Preservation in Data Markets
Achieving Data Truthfulness and Privacy Preservation in Data Markets
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average...
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average...
Towards Fast and Reliable Multi-hop Routing in VANETs
Towards Fast and Reliable Multi-hop Routing in VANETs
Selective Authentication Based Geographic Opportunistic Routing in Wireless S...
Selective Authentication Based Geographic Opportunistic Routing in Wireless S...
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...
Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
Node-Level Trust Evaluation in Wireless Sensor Networks
Node-Level Trust Evaluation in Wireless Sensor Networks
Recently uploaded
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance
CACJapan - GROUP Presentation 1- Wk 4.pdf
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
Assessment and Planning in Educational technology.pptx
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
A Strategic Approach: GenAI in Education
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective UpskillingExcellence Foundation for South Sudan
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Types of Herbal Cosmetics its standardization.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...National Information Standards Organization (NISO)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.Recently uploaded (20)
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
Assessment and Planning in Educational technology.pptx
Assessment and Planning in Educational technology.pptx
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
Low-Complexity Digit-Serial Multiplier Over GF(2m) Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition
- 1. Low-Complexity Digit-Serial Multiplier Over GF(2m)Based on Efficient Toeplitz Block Toeplitz Matrix–Vector Product Decomposition ABSTRACT: In this paper, we have shown that a regular Toeplitz matrix-vector product (TMVP) can be transformed into a Toeplitz block TMVP (TBTMVP) using a suitable permutation matrix. Based on the TBTMVP representation, we have proposed a new (a , b)-way TBTMVP decomposition algorithm for implementing a digit-serial multiplication. Moreover, it is shown that, based on iterative block recombination, we can improve the space complexity of the proposed TBTMVP decomposition. From the synthesis results, we have shown that the proposed TBTMVP-based multiplier involves less area, less area–delay product, and higher throughput compared with the existing digit serial multipliers. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2. SOFTWARE IMPLEMENTATION: Modelsim Xilinx ISE