This document summarizes a research paper that proposes a new speech coding technique to compress speech at low bit rates while maintaining quality. The technique uses a sinusoidal representation where speech frames are represented as the sum of sinusoidal components. The encoder analyzes speech frames in the frequency domain using short-time Fourier transform. It extracts peak amplitudes, frequencies, and phases using peak-picking. It then applies novel parameter reduction and quantization techniques to lower the bit rate, including dividing frames into voiced/unvoiced sub-frames and prioritizing more important peaks. The decoder reconstructs speech from the transmitted parameters. The technique aims to achieve high quality reconstruction at low bit rates for applications requiring efficient digital speech storage and transmission.
This document analyzes speech coding algorithms for Hindi and English languages. It discusses Linear Predictive Coding (LPC), an algorithm that accurately estimates speech parameters and represents speech signals at reduced bit rates while preserving quality. The paper proposes a voice-excited LPC algorithm and implements it on Hindi and English male and female voices. It analyzes tradeoffs between bit rates, delay, signal-to-noise ratio, and complexity. The results show low bit-rates and better signal-to-noise ratio with this algorithm.
This document analyzes the performance of digital audio broadcasting (DAB) systems using orthogonal frequency division multiplexing (OFDM) and Reed Solomon coding. It discusses the components of a DAB system including source coding, channel coding using Reed Solomon codes, transmission frame structure, and coded OFDM. Simulation results show the bit error rate versus signal-to-noise ratio for DAB modes I and II, demonstrating lower bit error rates at higher signal-to-noise ratios when using Reed Solomon coding compared to previous work. The document concludes the analysis and discusses limitations and potential future work.
The document provides an introduction and overview of sub-band coding for speech signals. It discusses how sub-band coding works to divide the speech spectrum into multiple sub-bands using filter banks, then encode each sub-band separately to reduce the bit rate. The key steps involve analysis filtering, quantization and coding of sub-bands, then synthesis filtering to reconstruct the signal. MATLAB code is presented to implement a sub-band coder using quadrature mirror filters. Applications of sub-band coding include speech and audio coding standards.
IRJET- Decimator Filter for Hearing Aid Application Based on FPGAIRJET Journal
This document describes a proposed decimation filter design for hearing aid applications using FPGAs. The filter uses a cascaded integrator comb (CIC) filter to downsample the signal, followed by a half-band FIR filter and corrector FIR filter. The design is simulated in MATLAB and implemented on an FPGA using VHDL. Decimation filters can help hearing aid users by amplifying sounds and reducing the sampling frequency in a way that matches the individual's audiogram. The proposed filter structure aims to reduce complexity, power consumption, and improve performance for digital hearing aids.
A New Method for Pitch Tracking and Voicing Decision Based on Spectral Multi-...CSCJournals
This paper proposes a new voicing detection and pitch estimation method that is particularly robust for noisy speech. This method is based on the spectral analysis of the speech multi-scale product. The multi-scale product (MP) consists of making the product of wavelet transform coefficients. The wavelet used is the quadratic spline function. We argue that the spectral of Multi-scale Product Analysis is capable of revealing an estimate of a pitch-harmonic more accurately even in a heavy noisy scenario. We evaluate our approach on the Keele database. The experimental results show the robustness of our method for noisy speech, and the good performance for clean speech in comparison with state-of-the-art algorithms.
Interest towards speech coding & standardization:
– World wide growth in communication networks
– Emergence of new multimedia applications
– Advances in Very Large-Scale Integration (VLSI)
devices
• Standardization
– International Telecommunications Union (ITU)
– European Telecom. Standards Institute (ETSI)
– International Standards Organization (ISO)
– Telecommunication Industry Association (TIA), NA
– R&D Center for Radio systems (RCR), Japan
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdmIAEME Publication
This document discusses improving bit error rate (BER) performance in orthogonal frequency division multiplexing (OFDM) systems using hybrid low-density parity check (LDPC) codes and space-time block coding (STBC). It first describes MMSE and LS channel estimation techniques in OFDM and an adaptive modulation and coding WiMAX system. It then proposes using LDPC codes with STBC across multiple transmit antennas to achieve coding gain and diversity gain. Simulation results show the hybrid LDPC-STBC method provides better BER performance than STBC alone, especially at low signal-to-noise ratios in flat Rayleigh fading channels.
This document analyzes speech coding algorithms for Hindi and English languages. It discusses Linear Predictive Coding (LPC), an algorithm that accurately estimates speech parameters and represents speech signals at reduced bit rates while preserving quality. The paper proposes a voice-excited LPC algorithm and implements it on Hindi and English male and female voices. It analyzes tradeoffs between bit rates, delay, signal-to-noise ratio, and complexity. The results show low bit-rates and better signal-to-noise ratio with this algorithm.
This document analyzes the performance of digital audio broadcasting (DAB) systems using orthogonal frequency division multiplexing (OFDM) and Reed Solomon coding. It discusses the components of a DAB system including source coding, channel coding using Reed Solomon codes, transmission frame structure, and coded OFDM. Simulation results show the bit error rate versus signal-to-noise ratio for DAB modes I and II, demonstrating lower bit error rates at higher signal-to-noise ratios when using Reed Solomon coding compared to previous work. The document concludes the analysis and discusses limitations and potential future work.
The document provides an introduction and overview of sub-band coding for speech signals. It discusses how sub-band coding works to divide the speech spectrum into multiple sub-bands using filter banks, then encode each sub-band separately to reduce the bit rate. The key steps involve analysis filtering, quantization and coding of sub-bands, then synthesis filtering to reconstruct the signal. MATLAB code is presented to implement a sub-band coder using quadrature mirror filters. Applications of sub-band coding include speech and audio coding standards.
IRJET- Decimator Filter for Hearing Aid Application Based on FPGAIRJET Journal
This document describes a proposed decimation filter design for hearing aid applications using FPGAs. The filter uses a cascaded integrator comb (CIC) filter to downsample the signal, followed by a half-band FIR filter and corrector FIR filter. The design is simulated in MATLAB and implemented on an FPGA using VHDL. Decimation filters can help hearing aid users by amplifying sounds and reducing the sampling frequency in a way that matches the individual's audiogram. The proposed filter structure aims to reduce complexity, power consumption, and improve performance for digital hearing aids.
A New Method for Pitch Tracking and Voicing Decision Based on Spectral Multi-...CSCJournals
This paper proposes a new voicing detection and pitch estimation method that is particularly robust for noisy speech. This method is based on the spectral analysis of the speech multi-scale product. The multi-scale product (MP) consists of making the product of wavelet transform coefficients. The wavelet used is the quadratic spline function. We argue that the spectral of Multi-scale Product Analysis is capable of revealing an estimate of a pitch-harmonic more accurately even in a heavy noisy scenario. We evaluate our approach on the Keele database. The experimental results show the robustness of our method for noisy speech, and the good performance for clean speech in comparison with state-of-the-art algorithms.
Interest towards speech coding & standardization:
– World wide growth in communication networks
– Emergence of new multimedia applications
– Advances in Very Large-Scale Integration (VLSI)
devices
• Standardization
– International Telecommunications Union (ITU)
– European Telecom. Standards Institute (ETSI)
– International Standards Organization (ISO)
– Telecommunication Industry Association (TIA), NA
– R&D Center for Radio systems (RCR), Japan
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdmIAEME Publication
This document discusses improving bit error rate (BER) performance in orthogonal frequency division multiplexing (OFDM) systems using hybrid low-density parity check (LDPC) codes and space-time block coding (STBC). It first describes MMSE and LS channel estimation techniques in OFDM and an adaptive modulation and coding WiMAX system. It then proposes using LDPC codes with STBC across multiple transmit antennas to achieve coding gain and diversity gain. Simulation results show the hybrid LDPC-STBC method provides better BER performance than STBC alone, especially at low signal-to-noise ratios in flat Rayleigh fading channels.
This document discusses feature extraction techniques for isolated word speech recognition. It begins with an introduction to digital speech processing and speech recognition models. The main part of the document compares two common feature extraction techniques: Mel Frequency Cepstral Coefficients (MFCC) and Relative Spectral (RASTA) filtering. MFCC allows signals to extract feature vectors and provides high performance but lacks robustness. RASTA filtering reduces the impact of noise in signals and provides high robustness by band-passing feature coefficients in both log spectral and spectral domains. The document provides details on the process of MFCC feature extraction, which involves steps like framing, windowing, fast Fourier transform, mel filtering, discrete cosine transform, and calculating
A REVIEW OF LPC METHODS FOR ENHANCEMENT OF SPEECH SIGNALSijiert bestjournal
This paper presents a review of LPC methods for enhancement of speech signals. The purpose of all method of speech enhancement is to impr ove quality of speech signal by minimizing the background noise . This paper especially comments on Power Spectral Subtraction,Multiband Spectral Subtraction,Non - Linear Spectral Subtraction Method,MMSE Spectral Subtraction Method and Spectral Subtraction based on perceptual properties. As the spectral subtraction produces the Residual noise,Musical noise,Linear Predictive Analysis method is used to enhance the Speech.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document summarizes linear predictive coding (LPC), a speech compression technique. LPC works by modeling the human vocal tract and representing each speech segment as a linear combination of past speech samples. It analyzes speech signals by determining if segments are voiced or unvoiced, estimating the pitch period, and computing filter coefficients. The coefficients and other parameters are transmitted to allow reconstruction of the speech. LPC can achieve a bit rate of 2400 bps, making it suitable for secure communications. Simulation results show LPC can compress male and female speech but introduces noise, performing better on male voices which have less high frequencies.
LPC Models and Different Speech Enhancement Techniques- A Reviewijiert bestjournal
Author has already published one review paper on the quality enhancement of a speech signal by minimizing the noise. This is a second paper of same series. In last two decades the researchers have taken continuous efforts to reduce the noise signal from the speech signal. Th is paper comments on,various study carried out and analysis propos als of the researchers for en hancement of the quality of speech signal. Various models,coding,speech quality improvement methods,speaker dependent codebooks,autocorrelation subtraction,speech restoration,producing speech at low bit rates,compression and enhancement are the vari ous aspects of speech enhancement. We have presented the review of all above mentioned technologies in this paper and also willing to examine few of the techniques in order to analyze the factors affecting them in upcoming paper of the series.
This document summarizes the porting and optimization of the ITU-T G.729.1 speech coding algorithm to the SC3850 DSP core. The authors modified the reference G.729.1 code to fix-point C and optimized it for the SC3850 architecture through techniques like replacing functions with intrinsics, inlining small functions, and restructuring loops and memory accesses. They achieved over 90% improvement in cycles per second (MCPS) through these optimizations while maintaining bit-exact accuracy against the ITU test vectors. The G.729.1 codec is an 8-32 kbps scalable wideband speech codec standardized by ITU, useful for applications like VoIP, audio conferencing, and
This document summarizes research on performance analysis of adaptive multi-user OFDM systems. It describes using adaptive modulation to maximize throughput by selecting modulation schemes on a per-subcarrier basis to maintain bit error rate while maximizing spectral efficiency. Adaptive user allocation is also analyzed to improve signal power by optimizing user-subcarrier combinations based on frequency selective fading differences between users. Simulation results show adaptive modulation providing 12-16dB SNR improvement over fixed modulation. Adaptive user allocation provides an additional 3-5dB average signal power gain. The document concludes these adaptive techniques allow OFDM systems to approach channel capacity limits given constraints of the radio channel, transmitter power and quality of service requirements.
The document compares the performance of single stage and double stage interleavers in communication systems using turbo codes. A single stage interleaver uses one random interleaver between two convolutional encoders, while a double stage interleaver uses two interleavers in series. The document suggests that a double stage interleaver can improve the bit error rate (BER) of the system compared to a single stage interleaver by further scrambling the input bits. It also provides details on the components of a turbo code system such as convolutional encoders, interleavers, puncturing, and iterative decoding.
A review on sparse Fast Fourier Transform applications in image processing IJECEIAES
Fast Fourier Transform has long been established as an essential tool in signal processing. To address the computational issues while helping the analysis work for multi-dimensional signals in image processing, sparse Fast Fourier Transform model is reviewed here when applied in different applications such as lithography optimization, cancer detection, evolutionary arts and wasterwater treatment. As the demand for higher dimensional signals in various applications especially multimedia appplications, the need for sparse Fast Fourier Transform grows higher.
Design and implementation of different audio restoration techniques for audio...eSAT Journals
This document summarizes research on designing and implementing different audio restoration techniques for removing distortions like clipping, clicks, and broadband noise from audio signals. It presents methods for declipping audio using sparse representations and frame-based reconstruction. Clicks are addressed using an adaptive filtering method, and broadband noise is reduced via spectral subtraction. The performance of these techniques is evaluated using metrics like SNR and algorithms like OMP. Hardware implementation of click removal is done on a TMS320C6713 DSK board using tools like MATLAB and Code Composer Studio.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This document describes the design of a finite impulse response (FIR) filter using a modified Montgomery multiplier with pipelining. It first provides background on Montgomery multiplication and pipelining techniques. It then describes implementing a 32-bit Montgomery multiplier with pipelining and analyzing its performance. An 8-tap FIR filter is designed using this Montgomery multiplier architecture. Simulation and synthesis results show the area and timing of the Montgomery multiplier and FIR filter. The proposed method achieves better performance than existing methods.
Cooperative Diversity - An Introduction to Cooperative CommAshish Meshram
The document provides an introduction to cooperative diversity and cooperative communication techniques. It discusses the motivation for cooperative diversity as a way to achieve spatial diversity without multiple antennas at mobile units. The key aspects covered include:
- Cooperative diversity protocols like amplify-and-forward (AF) and decode-and-forward (DF) where the relay assists transmission from the source to the destination.
- The application of cooperative diversity techniques to improve cellular capacity and coverage, wireless local area networks, vehicle-to-vehicle communication, and wireless sensor networks.
- The mathematical modeling of the relay channel and simplified single-relay system models for AF and DF protocols.
- Analysis of outage probability for the AF protocol and
This document proposes a video genre classification method using only audio features extracted from video clips. It uses Multivariate Adaptive Regression Splines (MARS) to build classification models for different genres based on low-level audio features like MFCCs, zero crossing rate, short-time energy, etc. extracted from a dataset of news, cartoons, sports, music and dahmas video clips. The models are able to accurately classify video genres with an overall classification rate of 91.83% based on the important audio features identified for each genre by the MARS models.
Cooperative Communication for a Multiple-Satellite Networkchiragwarty
when it comes to space communication
networks, there are many different kinds of space vehicles
that need to communicate with each other, in space as well
as with ground terminals and air borne platform. Example:
Geosynchronous Earth orbit (GEO), Low Earth Orbit
(LEO) satellites and UAVs. There is an ever growing
demand for higher data rates and minimal redundancy, with
satellites and various space platforms travelling at high
speeds relative to each other and relative to the ground
establishing such links can prove to be a real challenge
when Doppler Effect and line of sight (LOS) can play a
significant role in SONET timing and synchronization. As
the number of users grows the space communication links
need to address several types of coding and modulation.
This paper analyzes the use of cooperative communication
techniques for point-to-point and point-to-multipoint
communication links. To this end we start with a simplified
single relay model and proceed to analyze the multi-node
scenarios. We will then apply the amplify-and-forward,
decode-and-forward and coded cooperation protocols to the
best case scenario to compute the efficiency and
synchronization of the link. The single relay and multi-node
scenarios are evaluated on the basis of the signal to noise
(SNR) power received and inter channel interference (ICI).
The intention is to demonstrate the theoretical performance
by simulating outage probability versus spectral efficiency
for different relaying protocols. Subsequently we will show
the effect of cooperative communication on bandwidth
utilization for mobile satellites and space platforms.
This document summarizes a research paper on advanced speaker recognition using hidden Markov models. It begins with an abstract that outlines using discrete wavelet transforms to reduce noise in speech signals before extracting mel frequency cepstral coefficients features and applying vector quantization and hidden Markov models for recognition. The document then provides more detail on the speaker recognition system and methods used, including denoising with discrete wavelet transforms, feature extraction with MFCCs, vector quantization to normalize feature size, training hidden Markov models, and using the Viterbi algorithm during testing to determine the recognized speaker. The research achieved 98% recognition accuracy on a database of 50 speakers in a normal noise environment.
Effect of Time Derivatives of MFCC Features on HMM Based Speech Recognition S...IDES Editor
In this paper, improvement of an ASR system for
Hindi language, based on Vector quantized MFCC as feature
vectors and HMM as classifier, is discussed. MFCC features
are usually pre-processed before being used for recognition.
One of these pre-processing is to create delta and delta-delta
coefficients and append them to MFCC to create feature vector.
This paper focuses on all digits in Hindi (Zero to Nine), which
is based on isolated word structure. Performance of the system
is evaluated by accurate Recognition Rate (RR). The effect of
the combination of the Delta MFCC (DMFCC) feature along
with the Delta-Delta MFCC (DDMFCC) feature shows
approximately 2.5% further improvement in the RR, with no
additional computational costs involved. RR of the system for
the speakers involved in the training phase is found to give
better recognition accuracy than that for the speakers who
were not involved in the training phase. Word wise RR is
observed to be good in some digits with distinct phones.
Design and implementation of DA FIR filter for bio-inspired computing archite...IJECEIAES
This paper elucidates the system construct of DA-FIR filter optimized for design of distributed arithmetic (DA) finite impulse response (FIR) filter and is based on architecture with tightly coupled co-processor based data processing units. With a series of look-up-table (LUT) accesses in order to emulate multiply and accumulate operations the constructed DA based FIR filter is implemented on FPGA. The very high speed integrated circuit hardware description language (VHDL) is used implement the proposed filter and the design is verified using simulation. This paper discusses two optimization algorithms and resulting optimizations are incorporated into LUT layer and architecture extractions. The proposed method offers an optimized design in the form of offers average miminimizations of the number of LUT, reduction in populated slices and gate minimization for DAfinite impulse response filter. This research paves a direction towards development of bio inspired computing architectures developed without logically intensive operations, obtaining the desired specifications with respect to performance, timing, and reliability.
Comparison and Analysis Of LDM and LMS for an Application of a SpeechCSCJournals
Most of the automatic speech recognition (ASR) systems are based on Guassian Mixtures model. The output of these models depends on subphone states. We often measure and transform the speech signal in another form to enhance our ability to communicate. Speech recognition is the conversion from acoustic waveform into written equivalent message information. The nature of speech recognition problem is heavily dependent upon the constraints placed on the speaker, speaking situation and message context. Various speech recognition systems are available. The system which detects the hidden conditions of speech is the best model. LMS is one of the simple algorithm used to reconstruct the speech and linear dynamic model is also used to recognize the speech in noisy atmosphere..This paper is analysis and comparison between the LDM and a simple LMS algorithm which can be used for speech recognition purpose.
This document summarizes a research paper that proposes a scheme for image transmission over OFDM systems using LDPC coding and trigonometric transforms. It aims to improve OFDM performance by reducing peak-to-average power ratio (PAPR) and enhancing image quality. The scheme uses SPIHT for image source coding, BPSK modulation, and inserts DCT or DST transforms after IFFT. Simulation results show the DST transform most effectively reduces PAPR compared to DCT. Reconstructed images also have improved visual quality with DST. The scheme thus enhances OFDM systems for image transmission applications.
The cardinal lives in the eastern United States and migrates south for the winter. It eats both plants and insects from bird feeders. Cardinals build nests in trees and shrubs. Males are bright red while females are tan, and they defend their territory aggressively, even fighting their own reflection. Cardinals are not endangered due to protections and available food from human bird feeders.
This document discusses feature extraction techniques for isolated word speech recognition. It begins with an introduction to digital speech processing and speech recognition models. The main part of the document compares two common feature extraction techniques: Mel Frequency Cepstral Coefficients (MFCC) and Relative Spectral (RASTA) filtering. MFCC allows signals to extract feature vectors and provides high performance but lacks robustness. RASTA filtering reduces the impact of noise in signals and provides high robustness by band-passing feature coefficients in both log spectral and spectral domains. The document provides details on the process of MFCC feature extraction, which involves steps like framing, windowing, fast Fourier transform, mel filtering, discrete cosine transform, and calculating
A REVIEW OF LPC METHODS FOR ENHANCEMENT OF SPEECH SIGNALSijiert bestjournal
This paper presents a review of LPC methods for enhancement of speech signals. The purpose of all method of speech enhancement is to impr ove quality of speech signal by minimizing the background noise . This paper especially comments on Power Spectral Subtraction,Multiband Spectral Subtraction,Non - Linear Spectral Subtraction Method,MMSE Spectral Subtraction Method and Spectral Subtraction based on perceptual properties. As the spectral subtraction produces the Residual noise,Musical noise,Linear Predictive Analysis method is used to enhance the Speech.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document summarizes linear predictive coding (LPC), a speech compression technique. LPC works by modeling the human vocal tract and representing each speech segment as a linear combination of past speech samples. It analyzes speech signals by determining if segments are voiced or unvoiced, estimating the pitch period, and computing filter coefficients. The coefficients and other parameters are transmitted to allow reconstruction of the speech. LPC can achieve a bit rate of 2400 bps, making it suitable for secure communications. Simulation results show LPC can compress male and female speech but introduces noise, performing better on male voices which have less high frequencies.
LPC Models and Different Speech Enhancement Techniques- A Reviewijiert bestjournal
Author has already published one review paper on the quality enhancement of a speech signal by minimizing the noise. This is a second paper of same series. In last two decades the researchers have taken continuous efforts to reduce the noise signal from the speech signal. Th is paper comments on,various study carried out and analysis propos als of the researchers for en hancement of the quality of speech signal. Various models,coding,speech quality improvement methods,speaker dependent codebooks,autocorrelation subtraction,speech restoration,producing speech at low bit rates,compression and enhancement are the vari ous aspects of speech enhancement. We have presented the review of all above mentioned technologies in this paper and also willing to examine few of the techniques in order to analyze the factors affecting them in upcoming paper of the series.
This document summarizes the porting and optimization of the ITU-T G.729.1 speech coding algorithm to the SC3850 DSP core. The authors modified the reference G.729.1 code to fix-point C and optimized it for the SC3850 architecture through techniques like replacing functions with intrinsics, inlining small functions, and restructuring loops and memory accesses. They achieved over 90% improvement in cycles per second (MCPS) through these optimizations while maintaining bit-exact accuracy against the ITU test vectors. The G.729.1 codec is an 8-32 kbps scalable wideband speech codec standardized by ITU, useful for applications like VoIP, audio conferencing, and
This document summarizes research on performance analysis of adaptive multi-user OFDM systems. It describes using adaptive modulation to maximize throughput by selecting modulation schemes on a per-subcarrier basis to maintain bit error rate while maximizing spectral efficiency. Adaptive user allocation is also analyzed to improve signal power by optimizing user-subcarrier combinations based on frequency selective fading differences between users. Simulation results show adaptive modulation providing 12-16dB SNR improvement over fixed modulation. Adaptive user allocation provides an additional 3-5dB average signal power gain. The document concludes these adaptive techniques allow OFDM systems to approach channel capacity limits given constraints of the radio channel, transmitter power and quality of service requirements.
The document compares the performance of single stage and double stage interleavers in communication systems using turbo codes. A single stage interleaver uses one random interleaver between two convolutional encoders, while a double stage interleaver uses two interleavers in series. The document suggests that a double stage interleaver can improve the bit error rate (BER) of the system compared to a single stage interleaver by further scrambling the input bits. It also provides details on the components of a turbo code system such as convolutional encoders, interleavers, puncturing, and iterative decoding.
A review on sparse Fast Fourier Transform applications in image processing IJECEIAES
Fast Fourier Transform has long been established as an essential tool in signal processing. To address the computational issues while helping the analysis work for multi-dimensional signals in image processing, sparse Fast Fourier Transform model is reviewed here when applied in different applications such as lithography optimization, cancer detection, evolutionary arts and wasterwater treatment. As the demand for higher dimensional signals in various applications especially multimedia appplications, the need for sparse Fast Fourier Transform grows higher.
Design and implementation of different audio restoration techniques for audio...eSAT Journals
This document summarizes research on designing and implementing different audio restoration techniques for removing distortions like clipping, clicks, and broadband noise from audio signals. It presents methods for declipping audio using sparse representations and frame-based reconstruction. Clicks are addressed using an adaptive filtering method, and broadband noise is reduced via spectral subtraction. The performance of these techniques is evaluated using metrics like SNR and algorithms like OMP. Hardware implementation of click removal is done on a TMS320C6713 DSK board using tools like MATLAB and Code Composer Studio.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This document describes the design of a finite impulse response (FIR) filter using a modified Montgomery multiplier with pipelining. It first provides background on Montgomery multiplication and pipelining techniques. It then describes implementing a 32-bit Montgomery multiplier with pipelining and analyzing its performance. An 8-tap FIR filter is designed using this Montgomery multiplier architecture. Simulation and synthesis results show the area and timing of the Montgomery multiplier and FIR filter. The proposed method achieves better performance than existing methods.
Cooperative Diversity - An Introduction to Cooperative CommAshish Meshram
The document provides an introduction to cooperative diversity and cooperative communication techniques. It discusses the motivation for cooperative diversity as a way to achieve spatial diversity without multiple antennas at mobile units. The key aspects covered include:
- Cooperative diversity protocols like amplify-and-forward (AF) and decode-and-forward (DF) where the relay assists transmission from the source to the destination.
- The application of cooperative diversity techniques to improve cellular capacity and coverage, wireless local area networks, vehicle-to-vehicle communication, and wireless sensor networks.
- The mathematical modeling of the relay channel and simplified single-relay system models for AF and DF protocols.
- Analysis of outage probability for the AF protocol and
This document proposes a video genre classification method using only audio features extracted from video clips. It uses Multivariate Adaptive Regression Splines (MARS) to build classification models for different genres based on low-level audio features like MFCCs, zero crossing rate, short-time energy, etc. extracted from a dataset of news, cartoons, sports, music and dahmas video clips. The models are able to accurately classify video genres with an overall classification rate of 91.83% based on the important audio features identified for each genre by the MARS models.
Cooperative Communication for a Multiple-Satellite Networkchiragwarty
when it comes to space communication
networks, there are many different kinds of space vehicles
that need to communicate with each other, in space as well
as with ground terminals and air borne platform. Example:
Geosynchronous Earth orbit (GEO), Low Earth Orbit
(LEO) satellites and UAVs. There is an ever growing
demand for higher data rates and minimal redundancy, with
satellites and various space platforms travelling at high
speeds relative to each other and relative to the ground
establishing such links can prove to be a real challenge
when Doppler Effect and line of sight (LOS) can play a
significant role in SONET timing and synchronization. As
the number of users grows the space communication links
need to address several types of coding and modulation.
This paper analyzes the use of cooperative communication
techniques for point-to-point and point-to-multipoint
communication links. To this end we start with a simplified
single relay model and proceed to analyze the multi-node
scenarios. We will then apply the amplify-and-forward,
decode-and-forward and coded cooperation protocols to the
best case scenario to compute the efficiency and
synchronization of the link. The single relay and multi-node
scenarios are evaluated on the basis of the signal to noise
(SNR) power received and inter channel interference (ICI).
The intention is to demonstrate the theoretical performance
by simulating outage probability versus spectral efficiency
for different relaying protocols. Subsequently we will show
the effect of cooperative communication on bandwidth
utilization for mobile satellites and space platforms.
This document summarizes a research paper on advanced speaker recognition using hidden Markov models. It begins with an abstract that outlines using discrete wavelet transforms to reduce noise in speech signals before extracting mel frequency cepstral coefficients features and applying vector quantization and hidden Markov models for recognition. The document then provides more detail on the speaker recognition system and methods used, including denoising with discrete wavelet transforms, feature extraction with MFCCs, vector quantization to normalize feature size, training hidden Markov models, and using the Viterbi algorithm during testing to determine the recognized speaker. The research achieved 98% recognition accuracy on a database of 50 speakers in a normal noise environment.
Effect of Time Derivatives of MFCC Features on HMM Based Speech Recognition S...IDES Editor
In this paper, improvement of an ASR system for
Hindi language, based on Vector quantized MFCC as feature
vectors and HMM as classifier, is discussed. MFCC features
are usually pre-processed before being used for recognition.
One of these pre-processing is to create delta and delta-delta
coefficients and append them to MFCC to create feature vector.
This paper focuses on all digits in Hindi (Zero to Nine), which
is based on isolated word structure. Performance of the system
is evaluated by accurate Recognition Rate (RR). The effect of
the combination of the Delta MFCC (DMFCC) feature along
with the Delta-Delta MFCC (DDMFCC) feature shows
approximately 2.5% further improvement in the RR, with no
additional computational costs involved. RR of the system for
the speakers involved in the training phase is found to give
better recognition accuracy than that for the speakers who
were not involved in the training phase. Word wise RR is
observed to be good in some digits with distinct phones.
Design and implementation of DA FIR filter for bio-inspired computing archite...IJECEIAES
This paper elucidates the system construct of DA-FIR filter optimized for design of distributed arithmetic (DA) finite impulse response (FIR) filter and is based on architecture with tightly coupled co-processor based data processing units. With a series of look-up-table (LUT) accesses in order to emulate multiply and accumulate operations the constructed DA based FIR filter is implemented on FPGA. The very high speed integrated circuit hardware description language (VHDL) is used implement the proposed filter and the design is verified using simulation. This paper discusses two optimization algorithms and resulting optimizations are incorporated into LUT layer and architecture extractions. The proposed method offers an optimized design in the form of offers average miminimizations of the number of LUT, reduction in populated slices and gate minimization for DAfinite impulse response filter. This research paves a direction towards development of bio inspired computing architectures developed without logically intensive operations, obtaining the desired specifications with respect to performance, timing, and reliability.
Comparison and Analysis Of LDM and LMS for an Application of a SpeechCSCJournals
Most of the automatic speech recognition (ASR) systems are based on Guassian Mixtures model. The output of these models depends on subphone states. We often measure and transform the speech signal in another form to enhance our ability to communicate. Speech recognition is the conversion from acoustic waveform into written equivalent message information. The nature of speech recognition problem is heavily dependent upon the constraints placed on the speaker, speaking situation and message context. Various speech recognition systems are available. The system which detects the hidden conditions of speech is the best model. LMS is one of the simple algorithm used to reconstruct the speech and linear dynamic model is also used to recognize the speech in noisy atmosphere..This paper is analysis and comparison between the LDM and a simple LMS algorithm which can be used for speech recognition purpose.
This document summarizes a research paper that proposes a scheme for image transmission over OFDM systems using LDPC coding and trigonometric transforms. It aims to improve OFDM performance by reducing peak-to-average power ratio (PAPR) and enhancing image quality. The scheme uses SPIHT for image source coding, BPSK modulation, and inserts DCT or DST transforms after IFFT. Simulation results show the DST transform most effectively reduces PAPR compared to DCT. Reconstructed images also have improved visual quality with DST. The scheme thus enhances OFDM systems for image transmission applications.
The cardinal lives in the eastern United States and migrates south for the winter. It eats both plants and insects from bird feeders. Cardinals build nests in trees and shrubs. Males are bright red while females are tan, and they defend their territory aggressively, even fighting their own reflection. Cardinals are not endangered due to protections and available food from human bird feeders.
The document provides information about GenerationNation, a non-profit organization that aims to educate students in Charlotte, North Carolina on civic engagement and leadership. It summarizes that GenerationNation works with schools to provide programs and resources to help students build skills in civic literacy, leadership, and engaging with their community from a young age. In the past year, nearly 50,000 local students participated in GenerationNation activities and programs. The organization seeks community volunteers and investments to expand its initiatives and support more students.
Scottish musical history 2013 Strathclyde University lecture 5Karen McAulay
This document discusses how examining historic songbooks can provide insight into compilers' attitudes and priorities. It notes that introductions and commentary often convey views on a country's cultural history, and that aspects like subscribers lists, contents pages, prefaces, song annotations, accompaniment details, and specified instruments can reveal information about provenance and intended purpose. The document concludes by suggesting fiddle tunebooks generally lack such paratextual elements, implying their more utilitarian function compared to songbooks, where compilers aimed to educate and inform readers.
IAML Antwerp 2014 From historical collections to metadataKaren McAulay
ABSTRACT: From Historical Collections to Metadata: a case study in Scottish Musical Inheritance, paper by Dr Karen E McAulay, Music & Academic Services Librarian, Royal Conservatoire of Scotland.
The contemporary librarian is more than ever before a conduit for making historical material available to scholars and performers alike. The challenge in today’s world is not only to augment the crucial early manuscripts and publications with appropriate electronic versions, but to provide added value by enriching them with contextual and interpretative information.
The 3-year AHRC-funded project, Bass Culture in Scottish Musical Traditions, seeks to address this set of issues in Scottish bagpipe and fiddle music. Involving the Universities of Glasgow and Cambridge and the Royal Conservatoire of Scotland, it will provide a substantial web resource of sources and their interpretation, engaging with musicians working in a number of traditions to develop historically-informed practices. The aim is to enable musicians to have an understanding of the structures underpinning Scottish fiddle and pipe music, enriching the traditions with a deeper, more widespread appreciation of the diversity of their roots.
The metadata requirements of the two repertoires have similarities and divergences; flexibility is needed to apply suitable metadata across both. Compatibility with pre-existing approaches is also a prerequisite.
By October 2014, we will be building the web resource; this conference would provide a perfect opportunity to share an innovative collaboration between musicology, librarianship and web development.
Cardinal Corp is facing declining sales and employee morale. A communications audit found employees are unaware of recent changes like mergers, layoffs, and new policies around ethics and the environment. The document outlines Cardinal Corp's plan to improve internal communications, including distributing and explaining a new Code of Conduct, Environmental Policy, and Cardinal Credo. Management will also hold weekly meetings and competitions to boost transparency, trust, and environmental sustainability.
The document provides information about a local election for students in grades 6-12 in North Mecklenburg towns. It outlines the various offices and candidates on the ballot, including mayors for Cornelius, Davidson, and Huntersville, as well as town council and school board candidates. It encourages students to learn about the candidates, their positions, and decide which ones they want to vote for in the election.
The document discusses cardinality in foreign key relationships and different foreign key field types. It defines cardinality and describes one-to-one, one-to-many, and many-to-many relationships. The document notes that when creating foreign keys, the cardinality of the relationship should be specified and whether the foreign key fields belong to the primary key of the other table. Examples of different foreign key field types are provided.
Enhanced modulation spectral subtraction for IOVT speech recognition applicationIRJET Journal
This document proposes an Enhanced Modulation Spectral Subtraction (EMSS) method for enhancing noisy speech signals to improve speech recognition performance in Internet of Vehicle Things (IOVT) systems. The EMSS method uses a two-stage analysis-modification-synthesis framework, applying short-time Fourier transform first at the acoustic level and then again at the modulation level to extract modulation spectra. At the modulation level, noise is estimated and subtracted from the noisy modulation spectra. Evaluation on speech emotion recognition tasks with different noise types shows the EMSS method improves the signal-to-noise ratio segmentation by 39-60% compared to traditional spectral subtraction and modulation spectral subtraction methods, achieving about a 50% better recognition performance.
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
IRJET- Survey on Efficient Signal Processing Techniques for Speech EnhancementIRJET Journal
This document provides a survey of various speech enhancement techniques. It discusses five papers that propose different speech enhancement algorithms: 1) Discrete Tchebichef Transform and Discrete Krawtchouk Transform for removing noise using minimum mean square error. 2) Empirical mode decomposition and adaptive centre weighted average filtering that is effective for removing noise components. 3) Adaptive Wiener filtering that adapts the filter transfer function based on speech signal statistics. 4) Compressive sensing based speech enhancement that handles non-sparse noise. 5) Wavelet packet transform and non-negative matrix factorization to emphasize the speech components in each sub-band. The document also discusses speech enhancement using deep neural networks, empirical mode decomposition with Hurst exponent
This document discusses a proposed low bit rate audio codec algorithm using discrete wavelet transform. The key aspects of the algorithm are:
1. Choosing an optimal wavelet basis for audio signals and determining the optimal decomposition level in the discrete wavelet transform.
2. Applying thresholding to wavelet coefficients to truncate insignificant coefficients, allowing data compression while maintaining suitable peak signal to noise ratio.
3. Comparing performance of the audio codec using discrete wavelet transform to one using discrete wavelet packet transform.
4. Applying a postfiltering technique to improve the quality of the reconstructed audio signal by estimating and subtracting the error in the coded signal.
For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose. For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real orthonormal matrix, its inverse is the same as its transpose.For an M-by-M matrix A , T*A is an M-by-M matrix whose columns contain the one-dimensional DCT of the columns of A . The two-dimensional DCT of A can be computed as B=T*A*T' . Since T is a real
IRJET- Pitch Detection Algorithms in Time DomainIRJET Journal
This document discusses pitch detection algorithms in the time domain. It describes two common time domain pitch detection methods: the autocorrelation method and average magnitude difference function (AMDF) method. The autocorrelation method detects the periodicity of a speech signal by finding the highest value of the autocorrelation function. The AMDF method calculates the average magnitude of differences between the original and delayed speech signal at different lags, and identifies the pitch period as the lag with the minimum AMDF value. The document also provides implementation results of these two methods on speech samples, demonstrating their ability to estimate pitch periods in the time domain.
This document summarizes techniques to reduce peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. It first introduces OFDM and discusses how high PAPR is a drawback. It then describes several categories of PAPR reduction techniques: signal distortion techniques like clipping and filtering or peak windowing; signal scrambling techniques like selected mapping, partial transmit sequence, interleaving, tone reservation, and tone injection; and coding techniques like block coding. The document presents simulation results comparing 16-QAM and 64-QAM modulation schemes under various SNR and PAPR levels. It concludes that no single technique achieves large PAPR reduction with high efficiency and low complexity.
Audio Steganography Coding Using the Discreet Wavelet TransformsCSCJournals
The performance of audio steganography compression system using discreet wavelet transform (DWT) is investigated. Audio steganography coding is the technology of transforming stego-speech into efficiently encoded version that can be decoded in the receiver side to produce a close representation of the initial signal (non compressed). Experimental results prove the efficiency of the used compression technique since the compressed stego-speech are perceptually intelligible and indistinguishable from the equivalent initial signal, while being able to recover the initial stego-speech with slight degradation in the quality .
1) The document discusses audio compression using Daubechie wavelets. It involves using optimal wavelet selection and quantizing wavelet coefficients along with A-law and U-law companding methods.
2) The key steps of wavelet-based audio compression are thresholding and quantizing wavelet coefficients, then encoding the data to remove redundancy and reduce the number of coefficients.
3) A psychoacoustic model is incorporated to determine inaudible quantization noise levels based on auditory masking principles. The masking thresholds are converted to constraints in the wavelet domain to guide coefficient quantization and selection of an optimal wavelet basis.
This document summarizes a research paper that proposes a new technique called Dummy Sequence Insertion (DSI) to reduce Peak-to-Average Power Ratio (PAPR) in OFDM systems. The technique inserts complementary dummy sequences into OFDM symbols to lower PAPR without transmitting side information. It partitions data subcarriers and adds Golay complementary sequences as dummy signals. The sequence is iteratively determined such that PAPR is reduced below a threshold. Simulation results show PAPR reduction of 5-6 dB with lower complexity than conventional Partial Transmit Sequence techniques since it requires fewer IFFT operations and no side information transmission. The technique simplifies power amplifier design while maintaining bandwidth efficiency.
In the recent years, large scale information transfer by remote computing and the development
of massive storage and retrieval systems have witnessed a tremendous growth. To cope up with the
growth in the size of databases, additional storage devices need to be installed and the modems and
multiplexers have to be continuously upgraded in order to permit large amounts of data transfer between
computers and remote terminals. This leads to an increase in the cost as well as equipment. One solution
to these problems is “COMPRESSION” where the database and the transmission sequence can be
encoded efficiently. In this we investigated for optimum wavelet, optimum level, and optimum scaling
factor.
An Adaptive Approach to Switching Coded Modulation in OFDM System Under AWGN ...ijsrd.com
In this paper we have studied the OFDM for different Quadrature amplitude modulation technique (QAM) The scatter plot and their output signal to noise ratio, dependent bit error rate variation is analyzed for every type of modulation in OFDM. After observing the BER for each SNR in the system, switching threshold range has been prepared and now system is ready to face the Adaptive coded modulation (ACM).The results shows the switching of modulation technique.
This document discusses a redundancy removal technique for real-time voice compression. It begins by introducing voice compression and its increasing popularity. It then describes implementing a redundancy removal technique using MATLAB to encode and compress speech in real-time. The technique accurately estimates speech parameters and is computationally efficient. Testing showed it provided high compression and high quality audio. The technique reduces bandwidth needs for voice traffic, providing better performance than other methods for real-time applications.
The several assets for high-speed data transmission over wireless uses the Orthogonal Frequency Division
Multiplexing (OFDM) as it is a multicarrier transmission scheme. A large number of narrow bandwidth carriers is
therefore adopted by the OFDM. Individually for an OFDM, each subcarrier is attenuated under the frequency-selective
and fast fading channel, therefore the resulting gain is high attenuation which leads to poor performance of all OFDM
subcarriers if the same fixed transmission scheme are used. Thus the main goal of the indicated paper is to grab an
understanding of the inequality between fixed & adaptive modulations schemes as the introduction of the adaptive
modulation. The need for the above system is to make use of the speaker's voice to check their character and control
approach to administrations, for example, voice dialing data administrations, voice send, and security control for secret
data. The performance of paperwork basically states that implementation of adaptive modulation is done into blocks of
adjacent subcarriers which is the result of dividing whole subcarriers. Therefore the equivalent modulation scheme which
is the calculation of average instantaneous signal to noise (SNR) is exercised to entire subcarriers of the equal block. The
OFDM system average bit error rate (BER) performance is observed here under fixed modulation and adaptive
modulation, and these modulation techniques are recorded by accepting the different inverse fast Fourier transforms
(IFFT) size and uncomplicated adaptive Quadrature amplitude modulation (QAM) strategy. The simulation in MATLAB
shows the results as the performance of fixed modulation is inferior to that of the BER performance of OFDM system
using adaptive modulation. The prospective adaptive modulation and coding Technique uses OFDM to manage the fixed
BER under changing the channel.
On the realization of non linear pseudo-noise generator for various signal pr...Alexander Decker
This document discusses non-linear pseudo-noise generators and their applications in signal processing and communications. It proposes a non-linear method for generating spreading codes that have good auto-correlation properties, low power spectral density, and are complex signals. The document reviews linear pseudo-noise codes generated by shift registers and their properties. It then discusses using multiple shift registers combined non-linearly to generate codes with improved properties for applications like spread spectrum communications and interference rejection.
This document describes a space-time block coding (STBC) orthogonal frequency-division multiplexing (OFDM) system for text message transmission over fading channels using multiple transmit antennas. It evaluates the bit error rate (BER) performance of the system using different digital modulation schemes (BPSK, QPSK, QAM-8) over additive white Gaussian noise (AWGN) channels and fading channels. Low-density parity-check (LDPC) coding is concatenated with convolutional coding in the system to improve error performance. Simulation results show that the system is effective in retrieving the transmitted text message under noise and fading conditions, and that BER performance degrades with increasing noise power as expected.
This document summarizes a research paper that proposes a space-time block coded (STBC) orthogonal frequency-division multiplexing (OFDM) system for text message transmission over fading channels using multiple transmit antennas. The system utilizes low-density parity-check channel coding concatenated with convolutional coding. Simulation results show that the proposed system achieves good error rate performance, especially when using BPSK modulation with 2x4 transmit antennas in AWGN, Rayleigh, and Rician fading channels. The system is effective in properly identifying and retrieving transmitted text messages in noisy and fading environments.
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...ijcnac
The wideband code division multiple access (WCDMA) based 3G cellular mobile
wireless networks are expected to provide a diverse range of multimedia services to
mobile users with guaranteed quality of service (QoS). To serve diverse quality of service
requirements of these networks it necessitates new radio resource management strategies
for effective utilization of network resources with coding schemes. In this paper coverage
area for voice traffic and with different modulation techniques, coding schemes and
decision decoder are discussed. These discussions are to improve the coverage area in
the mobile communication system. This paper is mainly focuses on coverage area of
WCDMA system using link budget calculation with different modulation, coding schemes
and decision decoder. Simulation results demonstrate coverage extension for voice
service with different modulation,coding scheme, soft and hard decision decoder using
appropriate Bit error rate (BER) to maintain QoS of the voice.
A review paper on the papr analysis of orthogonal frequency division multiple...ijmnct
OFDM (Orthogonal Frequency Division Multiplexing) has been raised a new modulation technique. Due
to its advantages in multipath fading channel e.g. robust against ISI, ICI and some other advantages like
best QoS for multiple users, efficient usage of bandwidth it is suggested to be the modulation technique for
next generation 4G networks e.g. LTE. But along with all its advantages there are some disadvantages also
e.g. High PAPR (Peak to Average Power Ratio) at the transmitter end and BER (Bit Error Rate) at the
receiving end. Since OFDM is only used in the downlink of 4G networks. To reduce the problems of OFDM
some techniques e.g. SLM, PTS, Clipping, Coding, & Pre-coding etc are suggested but none of them is
reduce the PAPR and BER to an acceptable value. This Paper will discuss some techniques of PAPR &
BER reduction, and their advantages and disadvantages in detail.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.