The document discusses the design and implementation of optimal pulse shaping filters for digital radio systems. It specifically focuses on raised cosine and root raised cosine filters. These filters are used to reduce interference between symbols (ISI) and noise in the channel. The authors implement a 16-QAM digital communication system using these pulse shaping filters at the transmitter and matched filters at the receiver. Simulation results show that the root raised cosine filters help reduce bit error rates compared to raised cosine filters.
Design Analysis and Simulation of 25 TAP FIR Raised Cosine Filter IJEEE
Pulse shaping filter plays an important in multirate signal processing for Software Defined Radio based wireless and mobile applications. In this paper Raised Cosine filter has been presented for pulse shaping using Kaiser and Gaussian window techniques. The raised cosine filter introduces group delay that causes ISI in wireless communication. The ISI due to group delay can be removed by delaying the input signal to the filter. The ISI can also be rejected by reduced roll off factor α which results in narrow transition width. The proposed filter has been designed and simulated using Matlab. The simulated results show that the performance of both window techniques are almost same but Gaussian window based pulse shaping filter provides improved stop band attenuation is better as compared to Kaiser window technique.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Analysis of spectrum based approach for detection of mobile signalsIAEME Publication
This document summarizes a research paper that analyzes spectrum-based approaches for detecting mobile signals. It describes developing simulation models in Matlab to test signal detection using spectrum analysis at different signal-to-noise ratios. The models tested detection with and without filters. Results showed spectrum analysis using a modified periodogram algorithm achieved high detection accuracy, even at low SNRs, outperforming other methods. This approach could help improve spectrum utilization and efficiency in wireless networks.
This document summarizes a research paper that proposes techniques to improve downlink radio transmission quality in LTE networks by managing inter-cell interference. It discusses using partial frequency reuse with different modulation techniques for inner-cell and cell-edge users. For inner-cell users with high SINR, it uses linear precoding orthogonal frequency division multiplexing (LP-OFDM). For cell-edge users with low SINR, it allocates physical resource blocks from multiple adjacent cells using OFDM modulation, with coordination between cells. The document presents simulation results showing this approach can reduce bit error rates at receivers compared to conventional LTE deployment.
Performance Analysis of Group-Blind Multiuser Detectors for Synchronous CDMAidescitation
This document analyzes the performance of group-blind multiuser detectors for synchronous CDMA systems. It presents three detectors - Direct Matrix Inversion (DMI), Subspace, and Group-Blind Multiuser Detector. Through MATLAB simulations, it compares the Signal to Interference plus Noise Ratio (SINR) and Bit Error Rate (BER) of the three detectors. The results show that the Group-Blind Multiuser Detector achieves higher SINR than the DMI and Subspace detectors, especially when more user spreading sequences are known. In general, the performance of all detectors improves with increasing SNR, number of samples, and known users, but degrades with increasing signal correlation and number of total users
Performance evaluation of different spectrum sensing techniques for realistic...ijwmn
In this paper, the performance assessment of five different detection techniques from spectrum sensing
perspective in cognitive radio networks is proposed and implemented using the realistic implementation
oriented model (R-model) with signal processing operations. The performance assessment of the different
sensing techniques in the existence of unknown or imprecisely known impulsive noise levels is done by
considering the signal detection in cognitive radio networks under a non-parametric multisensory detection
scenario. The examination focuses on performance comparison of basic spectrum sensing mechanisms as,
energy detection (ED) and cyclostationary feature detection (CSFD) along with the eigenvalue-based
detection methods namely, Maximum-minimum eigenvalue detection (MMED), Roy’s largest Root Test
(RLRT) which requires knowledge of the noise variance and Generalized Likelihood Ratio Test (GLRT)
which can be implemented as a test of the largest eigenvalues vs. Maximum-likelihood estimates a noise
variance. From simulation results it is observed that the detection performance of the GLRT method is
better than the other techniques in realistic implementation oriented model.
Optical Fiber link Design Complete guide by Aamir SaleemAamir Saleem
The document is a project report submitted by Aamir Saleem for the degree of Bachelor of Science in Electronic Engineering. It discusses the design of a fiber optic communication link between Khayaban-e-Sir Syed in Rawalpindi and Capital University of Science and Technology in Islamabad over a distance of 22.6 km. The report outlines the requirements, components selection, and design of the optical fiber link. It analyzes the power budget and rise time budget to validate the link design and select suitable optical fiber, transmitter, and receiver components.
Reduction of Frequency offset Using Joint Clock for OFDM Based Cellular Syste...IJRST Journal
This project addresses the problem of clock synchronization between a base station (BS) and a mobile station (MS). A conventional technique for clock synchronization is that the MS clock is derived from the downlink signal originated from a base station. In cellular systems, a base station and mobile stations need to be synchronized before data exchange. Since the base station clock reference is more accurate, a mobile station typically derives its clock reference from the base station. But the carrier frequency offset due to Doppler shift may have harmful effects on the local clock derivation. This project proposes a joint clock and frequency synchronization technique between a base station and a mobile station, which is effective even with Doppler shift. We derive the joint estimation algorithm by analyzing the phase and the amplitude distortion caused by the sampling frequency offset and the carrier frequency offset. Simulation results showing the effectiveness of the proposed algorithm will also be presented.
Design Analysis and Simulation of 25 TAP FIR Raised Cosine Filter IJEEE
Pulse shaping filter plays an important in multirate signal processing for Software Defined Radio based wireless and mobile applications. In this paper Raised Cosine filter has been presented for pulse shaping using Kaiser and Gaussian window techniques. The raised cosine filter introduces group delay that causes ISI in wireless communication. The ISI due to group delay can be removed by delaying the input signal to the filter. The ISI can also be rejected by reduced roll off factor α which results in narrow transition width. The proposed filter has been designed and simulated using Matlab. The simulated results show that the performance of both window techniques are almost same but Gaussian window based pulse shaping filter provides improved stop band attenuation is better as compared to Kaiser window technique.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Analysis of spectrum based approach for detection of mobile signalsIAEME Publication
This document summarizes a research paper that analyzes spectrum-based approaches for detecting mobile signals. It describes developing simulation models in Matlab to test signal detection using spectrum analysis at different signal-to-noise ratios. The models tested detection with and without filters. Results showed spectrum analysis using a modified periodogram algorithm achieved high detection accuracy, even at low SNRs, outperforming other methods. This approach could help improve spectrum utilization and efficiency in wireless networks.
This document summarizes a research paper that proposes techniques to improve downlink radio transmission quality in LTE networks by managing inter-cell interference. It discusses using partial frequency reuse with different modulation techniques for inner-cell and cell-edge users. For inner-cell users with high SINR, it uses linear precoding orthogonal frequency division multiplexing (LP-OFDM). For cell-edge users with low SINR, it allocates physical resource blocks from multiple adjacent cells using OFDM modulation, with coordination between cells. The document presents simulation results showing this approach can reduce bit error rates at receivers compared to conventional LTE deployment.
Performance Analysis of Group-Blind Multiuser Detectors for Synchronous CDMAidescitation
This document analyzes the performance of group-blind multiuser detectors for synchronous CDMA systems. It presents three detectors - Direct Matrix Inversion (DMI), Subspace, and Group-Blind Multiuser Detector. Through MATLAB simulations, it compares the Signal to Interference plus Noise Ratio (SINR) and Bit Error Rate (BER) of the three detectors. The results show that the Group-Blind Multiuser Detector achieves higher SINR than the DMI and Subspace detectors, especially when more user spreading sequences are known. In general, the performance of all detectors improves with increasing SNR, number of samples, and known users, but degrades with increasing signal correlation and number of total users
Performance evaluation of different spectrum sensing techniques for realistic...ijwmn
In this paper, the performance assessment of five different detection techniques from spectrum sensing
perspective in cognitive radio networks is proposed and implemented using the realistic implementation
oriented model (R-model) with signal processing operations. The performance assessment of the different
sensing techniques in the existence of unknown or imprecisely known impulsive noise levels is done by
considering the signal detection in cognitive radio networks under a non-parametric multisensory detection
scenario. The examination focuses on performance comparison of basic spectrum sensing mechanisms as,
energy detection (ED) and cyclostationary feature detection (CSFD) along with the eigenvalue-based
detection methods namely, Maximum-minimum eigenvalue detection (MMED), Roy’s largest Root Test
(RLRT) which requires knowledge of the noise variance and Generalized Likelihood Ratio Test (GLRT)
which can be implemented as a test of the largest eigenvalues vs. Maximum-likelihood estimates a noise
variance. From simulation results it is observed that the detection performance of the GLRT method is
better than the other techniques in realistic implementation oriented model.
Optical Fiber link Design Complete guide by Aamir SaleemAamir Saleem
The document is a project report submitted by Aamir Saleem for the degree of Bachelor of Science in Electronic Engineering. It discusses the design of a fiber optic communication link between Khayaban-e-Sir Syed in Rawalpindi and Capital University of Science and Technology in Islamabad over a distance of 22.6 km. The report outlines the requirements, components selection, and design of the optical fiber link. It analyzes the power budget and rise time budget to validate the link design and select suitable optical fiber, transmitter, and receiver components.
Reduction of Frequency offset Using Joint Clock for OFDM Based Cellular Syste...IJRST Journal
This project addresses the problem of clock synchronization between a base station (BS) and a mobile station (MS). A conventional technique for clock synchronization is that the MS clock is derived from the downlink signal originated from a base station. In cellular systems, a base station and mobile stations need to be synchronized before data exchange. Since the base station clock reference is more accurate, a mobile station typically derives its clock reference from the base station. But the carrier frequency offset due to Doppler shift may have harmful effects on the local clock derivation. This project proposes a joint clock and frequency synchronization technique between a base station and a mobile station, which is effective even with Doppler shift. We derive the joint estimation algorithm by analyzing the phase and the amplitude distortion caused by the sampling frequency offset and the carrier frequency offset. Simulation results showing the effectiveness of the proposed algorithm will also be presented.
Analysis of Simulation Parameters of Pulse Shaping FIR Filter for WCDMAijsrd.com
The application of signal processing techniques to wireless communications is an emerging area that has recently achieved dramatic improvement in results and holds the potential for even greater results in the future as an increasing number of researchers from the signal process and communications areas participate in this expanding field. From an industrial viewpoint also, the advanced signal processing technology cannot only dramatically increase the wireless system capacity but can also improve the communication quality including the reduction of all types of interference. The present paper deals with simulation model of square root raised cosine pulse shaping filter for WCDMA with different parameters of the filter at 5Mhz.The present paper deals with study of Simulation Parameters (Number of Bits, Number of Errors) of Pulse Shaping FIR Filter at different value of group delay(2,4,6,8) to the calculate BER for WCDMA.
AREA EFFICIENT & COST EFFECTIVE PULSE SHAPING FILTER FOR SOFTWARE RADIOS ijasuc
In this paper area efficient and cost effective techniques for design of pulse shaping filter have been
presented to improve the computational and implementation complexity. Pulse shaping filters have been
designed and implemented by using Raised cosine filter, Nyquist filter and optimized half band filters for
software defined radio (SDR) based wireless applications. The performance of different filters is compared
in terms of BER and hardware requirements. The results show that the BER performance of the optimized
designs is almost identical to the Raised cosine filter with significant reduction in hardware requirements.
The hardware saving of 60% to 90% can be achieved by replacing the Raised cosine filter with proposed
filters to provide cost effective solution for wireless communication applications.
A Review of Relay selection based Cooperative Wireless Network for Capacity E...IRJET Journal
This document discusses relay selection in cooperative wireless networks to enhance network capacity. It reviews cooperative communication techniques like amplify-and-forward and decode-and-forward that achieve spatial diversity without requiring multiple antennas on a device. The selection of relay nodes has a significant impact on the total network capacity. It aims to study cooperative relay node assignment that allows multiple source-destination pairs to compete for the same pool of relay nodes, with each pair able to be assigned multiple relays.
Free space optical communication (FSO) is the key technology for connecting systems by means of air as a medium. However signal will lose its strength due to atmospheric losses like rain, fog and other external environmental factors. Wavelength division multiplexing (WDM) approaches are used nowadays which improves signal strength at the receiver. For a perfect communication to happen, the attenuation has to be reduced as much as possible. In this paper, Quality factor (Q) and Bit error rate (BER) of the signal are analysed by simulation models. The line encoding techniques Non- Return-Zero (NRZ) and Return- Zero (RZ) methods were evaluated. The maximum achievable distance is 5kms for power of 40dbm.
Spectrum Sensing using Cooperative Energy Detection Method for Cognitive RadioSaroj Dhakal
This document summarizes cooperative spectrum sensing using energy detection in cognitive radio networks. It discusses how cooperative sensing can improve detection performance by exploiting spatial diversity among cognitive radio users. The key points are:
1. Cooperative sensing allows cognitive radio users to share sensing information to make a combined decision that is more accurate than individual decisions. This mitigates issues like multipath fading and shadowing.
2. Energy detection is commonly used for cooperative sensing due to its simplicity. However, its performance depends on noise power uncertainty. Cooperative sensing addresses this by fusing observations from multiple spatially distributed users.
3. The document also discusses challenges in spectrum sensing like hardware requirements, hidden primary users, and detecting spread spectrum
Comparative ber analysis of mitigation of ici through sc,ml and ekf methods i...IAEME Publication
This document summarizes a research paper that was published in the International Journal of Electronics and Communication Engineering & Technology. The paper investigates methods to mitigate inter-carrier interference (ICI) in OFDM systems, which is caused by frequency offsets. It compares the performance of three ICI mitigation techniques: self-cancellation, maximum likelihood estimation, and an extended Kalman filter method. Through simulations, the paper shows that these three techniques are effective at reducing the effects of ICI. For high frequency offsets and higher order modulation schemes, the maximum likelihood and extended Kalman filter methods perform better than self-cancellation.
Performance analysis of bio-Signal processing in ocean Environment using soft...IJECEIAES
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
Study in variable duty cycle return to zero pulse with multiplexed channels f...Alexander Decker
The document analyzes the performance of a 640 Gbps optical communication system with 16 channels of 40 Gbps return-to-zero differential phase shift keying signals transmitted over different types of single mode fibers. Simulations were conducted for duty cycles of 0.5, 0.8, and 0.99. Results showed that a duty cycle of 0.8 achieved the lowest bit error rate for all fiber types tested. A nonzero dispersion shifted fiber provided the highest transmission distance of 160 km before signal degradation for a 0.8 duty cycle, outperforming other fiber types. Increasing the duty cycle to 0.99 extended the transmission distance over a nonzero dispersion shifted fiber to 140 km.
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
Hybrid Spectrum Sensing Method for Cognitive Radio IJECEIAES
With exponential rise in the internet applications and wireless communications, higher and efficient data transfer rates are required. Hence proper and effective spectrum is the need of the hour, As spectrum demand increases there are limited number of bands available to send and receive the data. Optimizing the use of these bands efficiently is one of the tedious tasks. Various techniques are used to send the data at same time, but for that we have to know which bands are free before sending the data. For this purpose various spectrum sensing approaches came with variety of solutions. In this paper the sensing problem is tackled with the use of hybrid spectrum sensing method, This new networking paradox uses the Centralized concept of spectrum sensing and creates one of the most trusted spectrums sensing mechanism. This proposed technique is simulated using MATLAB software.This paper also provides comparative study of various spectrum sensing methodologies.
This document summarizes research on improving the capacity of cellular systems using fractional frequency reuse (FFR). It discusses how frequency reuse is used to increase the number of users that can be served but causes interference, particularly for cell edge users. Fractional frequency reuse is proposed to solve this problem by allocating different frequency sets to cell center and edge users to reduce interference. The document also reviews different types of interference (co-channel and adjacent channel) and how power control can help reduce interference in cellular systems.
A Literature Survey on Comparative Analysis of RZ and NRZ Line Encoding over ...IJSRD
Modern world is the world of internet which requires more capacity and more bandwidth to modernize the world. Hence we move towards optical communication. When we talk about optical communication then chromatic dispersion is biggest obstacle for high speed optical channel. Chromatic dispersion can be reduced either by compensation technique [1, 2] or either by electronic dispersion compensation. In this paper, we make comparative analysis in RZ and NRZ line encoding over 40 Gbps system. Two different modulation formats including non-return-to-zero (NRZ), return-to-zero (RZ) is compared on the basis of Bit error rate and quality factor. The 40 Gbps signal is transmitted over 200 km in single mode fiber.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses the bit error rate (BER) performance of orthogonal frequency division multiplexing (OFDM) in cognitive radio networks over Rayleigh fading channels. It analyzes the signal to noise ratio of OFDM and proposes two pulse shaping approaches, improved sinc power pulses and raised cosine filters, to reduce inter-carrier interference and minimize BER. Simulation results using MATLAB show that applying these inter-carrier interference cancellation schemes can improve BER performance.
IRJET- A Novel Technique for Spectrum Sensing in Cognitive Radio NetworksIRJET Journal
This document discusses a novel technique called double square energy detection (DSED) for spectrum sensing in cognitive radio networks. Spectrum sensing is used to detect unused spectrum bands that secondary users can opportunistically access without interfering with primary users. Energy detection is commonly used due to its simplicity but is impacted by noise and fading effects. The proposed DSED technique applies a double square operation to the detected signal before measuring its energy over a time interval and comparing to a threshold. Simulation results show DSED has a very high probability of detection and low complexity, outperforming conventional energy detection.
An advanced handoff algoritm in mobile communication network using fuzzy deci...Basil John
The document summarizes Ganasen R's first doctoral committee meeting at St. Peter's University in Chennai, India. The meeting covered Ganasen's proposed research on developing an advanced vertical handoff mechanism for wireless communication using a Fuzzy Vertical Handoff Decision algorithm. The broad area of research is wireless communication, with a focus on ensuring end-to-end connectivity across heterogeneous networks. The objectives are to provide "Always Best Connected" service and optimize vertical handoffs between networks based on criteria like signal strength and quality of service. Ganasen provided an outline of the proposed research covering literature reviews on existing handoff methods and the benefits of the proposed Fuzzy Logic approach.
This paper contains a report on an Audio-Visual Client Recognition System using Matlab software which identifies five clients and can be improved to identify as many clients as possible depending on the number of clients it is trained to identify which was successfully implemented. The implementation was accomplished first by visual recognition system implemented using The Principal Component Analysis, Linear Discriminant Analysis and Nearest Neighbour Classifier. A successful implementation of second part was achieved by audio recognition using Mel-Frequency Cepstrum Coefficient, Linear Discriminant Analysis and Nearest Neighbour Classifier the system was tested using images and sounds that have not been trained to the system to see whether it can detect an intruder which lead us to a very successful result with précised response to intruder.
This document discusses implementing a virtual private network (VPN) over multi-protocol label switching (MPLS). It begins with an introduction to MPLS and how it works using label switching to route packets. It then discusses VPNs and how MPLS VPNs use separate routing tables called virtual routing and forwarding tables to isolate customer networks. The document demonstrates configuring an MPLS VPN using the GNS3 network simulator with two customer edge routers connecting two customer sites over an MPLS provider network. MPLS, VPNs, and the specific configuration steps are described. In the results section, the routing tables of the customer edge routers are shown to have routes from both customer sites, demonstrating that the MPLS VPN was successfully implemented to connect
Este documento describe las funciones y herramientas básicas de PubMed para realizar búsquedas bibliográficas en bases de datos biomédicas. Explica cómo introducir términos de búsqueda, combinarlos con operadores lógicos, limitar los resultados por fecha, texto completo u otros criterios, y guardar referencias en un portapapeles. Además, detalla opciones avanzadas como buscar por autor, revista, tema o usar el índice MeSH.
This document analyzes a case study on digital marketing efforts by Tourism Canada. Email was an effective medium as it was low-cost, targeted, customizable, and measurable. The email campaign captured attention by using an integrated national campaign across multiple channels and by allowing users to share photos and experiences of favorite spots. Market research was important to identify the target market, determine the appropriate campaign type, segment audiences based on travel preferences, and understand spending habits on travel within and outside of Canada.
Analysis of Simulation Parameters of Pulse Shaping FIR Filter for WCDMAijsrd.com
The application of signal processing techniques to wireless communications is an emerging area that has recently achieved dramatic improvement in results and holds the potential for even greater results in the future as an increasing number of researchers from the signal process and communications areas participate in this expanding field. From an industrial viewpoint also, the advanced signal processing technology cannot only dramatically increase the wireless system capacity but can also improve the communication quality including the reduction of all types of interference. The present paper deals with simulation model of square root raised cosine pulse shaping filter for WCDMA with different parameters of the filter at 5Mhz.The present paper deals with study of Simulation Parameters (Number of Bits, Number of Errors) of Pulse Shaping FIR Filter at different value of group delay(2,4,6,8) to the calculate BER for WCDMA.
AREA EFFICIENT & COST EFFECTIVE PULSE SHAPING FILTER FOR SOFTWARE RADIOS ijasuc
In this paper area efficient and cost effective techniques for design of pulse shaping filter have been
presented to improve the computational and implementation complexity. Pulse shaping filters have been
designed and implemented by using Raised cosine filter, Nyquist filter and optimized half band filters for
software defined radio (SDR) based wireless applications. The performance of different filters is compared
in terms of BER and hardware requirements. The results show that the BER performance of the optimized
designs is almost identical to the Raised cosine filter with significant reduction in hardware requirements.
The hardware saving of 60% to 90% can be achieved by replacing the Raised cosine filter with proposed
filters to provide cost effective solution for wireless communication applications.
A Review of Relay selection based Cooperative Wireless Network for Capacity E...IRJET Journal
This document discusses relay selection in cooperative wireless networks to enhance network capacity. It reviews cooperative communication techniques like amplify-and-forward and decode-and-forward that achieve spatial diversity without requiring multiple antennas on a device. The selection of relay nodes has a significant impact on the total network capacity. It aims to study cooperative relay node assignment that allows multiple source-destination pairs to compete for the same pool of relay nodes, with each pair able to be assigned multiple relays.
Free space optical communication (FSO) is the key technology for connecting systems by means of air as a medium. However signal will lose its strength due to atmospheric losses like rain, fog and other external environmental factors. Wavelength division multiplexing (WDM) approaches are used nowadays which improves signal strength at the receiver. For a perfect communication to happen, the attenuation has to be reduced as much as possible. In this paper, Quality factor (Q) and Bit error rate (BER) of the signal are analysed by simulation models. The line encoding techniques Non- Return-Zero (NRZ) and Return- Zero (RZ) methods were evaluated. The maximum achievable distance is 5kms for power of 40dbm.
Spectrum Sensing using Cooperative Energy Detection Method for Cognitive RadioSaroj Dhakal
This document summarizes cooperative spectrum sensing using energy detection in cognitive radio networks. It discusses how cooperative sensing can improve detection performance by exploiting spatial diversity among cognitive radio users. The key points are:
1. Cooperative sensing allows cognitive radio users to share sensing information to make a combined decision that is more accurate than individual decisions. This mitigates issues like multipath fading and shadowing.
2. Energy detection is commonly used for cooperative sensing due to its simplicity. However, its performance depends on noise power uncertainty. Cooperative sensing addresses this by fusing observations from multiple spatially distributed users.
3. The document also discusses challenges in spectrum sensing like hardware requirements, hidden primary users, and detecting spread spectrum
Comparative ber analysis of mitigation of ici through sc,ml and ekf methods i...IAEME Publication
This document summarizes a research paper that was published in the International Journal of Electronics and Communication Engineering & Technology. The paper investigates methods to mitigate inter-carrier interference (ICI) in OFDM systems, which is caused by frequency offsets. It compares the performance of three ICI mitigation techniques: self-cancellation, maximum likelihood estimation, and an extended Kalman filter method. Through simulations, the paper shows that these three techniques are effective at reducing the effects of ICI. For high frequency offsets and higher order modulation schemes, the maximum likelihood and extended Kalman filter methods perform better than self-cancellation.
Performance analysis of bio-Signal processing in ocean Environment using soft...IJECEIAES
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
Study in variable duty cycle return to zero pulse with multiplexed channels f...Alexander Decker
The document analyzes the performance of a 640 Gbps optical communication system with 16 channels of 40 Gbps return-to-zero differential phase shift keying signals transmitted over different types of single mode fibers. Simulations were conducted for duty cycles of 0.5, 0.8, and 0.99. Results showed that a duty cycle of 0.8 achieved the lowest bit error rate for all fiber types tested. A nonzero dispersion shifted fiber provided the highest transmission distance of 160 km before signal degradation for a 0.8 duty cycle, outperforming other fiber types. Increasing the duty cycle to 0.99 extended the transmission distance over a nonzero dispersion shifted fiber to 140 km.
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
Hybrid Spectrum Sensing Method for Cognitive Radio IJECEIAES
With exponential rise in the internet applications and wireless communications, higher and efficient data transfer rates are required. Hence proper and effective spectrum is the need of the hour, As spectrum demand increases there are limited number of bands available to send and receive the data. Optimizing the use of these bands efficiently is one of the tedious tasks. Various techniques are used to send the data at same time, but for that we have to know which bands are free before sending the data. For this purpose various spectrum sensing approaches came with variety of solutions. In this paper the sensing problem is tackled with the use of hybrid spectrum sensing method, This new networking paradox uses the Centralized concept of spectrum sensing and creates one of the most trusted spectrums sensing mechanism. This proposed technique is simulated using MATLAB software.This paper also provides comparative study of various spectrum sensing methodologies.
This document summarizes research on improving the capacity of cellular systems using fractional frequency reuse (FFR). It discusses how frequency reuse is used to increase the number of users that can be served but causes interference, particularly for cell edge users. Fractional frequency reuse is proposed to solve this problem by allocating different frequency sets to cell center and edge users to reduce interference. The document also reviews different types of interference (co-channel and adjacent channel) and how power control can help reduce interference in cellular systems.
A Literature Survey on Comparative Analysis of RZ and NRZ Line Encoding over ...IJSRD
Modern world is the world of internet which requires more capacity and more bandwidth to modernize the world. Hence we move towards optical communication. When we talk about optical communication then chromatic dispersion is biggest obstacle for high speed optical channel. Chromatic dispersion can be reduced either by compensation technique [1, 2] or either by electronic dispersion compensation. In this paper, we make comparative analysis in RZ and NRZ line encoding over 40 Gbps system. Two different modulation formats including non-return-to-zero (NRZ), return-to-zero (RZ) is compared on the basis of Bit error rate and quality factor. The 40 Gbps signal is transmitted over 200 km in single mode fiber.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses the bit error rate (BER) performance of orthogonal frequency division multiplexing (OFDM) in cognitive radio networks over Rayleigh fading channels. It analyzes the signal to noise ratio of OFDM and proposes two pulse shaping approaches, improved sinc power pulses and raised cosine filters, to reduce inter-carrier interference and minimize BER. Simulation results using MATLAB show that applying these inter-carrier interference cancellation schemes can improve BER performance.
IRJET- A Novel Technique for Spectrum Sensing in Cognitive Radio NetworksIRJET Journal
This document discusses a novel technique called double square energy detection (DSED) for spectrum sensing in cognitive radio networks. Spectrum sensing is used to detect unused spectrum bands that secondary users can opportunistically access without interfering with primary users. Energy detection is commonly used due to its simplicity but is impacted by noise and fading effects. The proposed DSED technique applies a double square operation to the detected signal before measuring its energy over a time interval and comparing to a threshold. Simulation results show DSED has a very high probability of detection and low complexity, outperforming conventional energy detection.
An advanced handoff algoritm in mobile communication network using fuzzy deci...Basil John
The document summarizes Ganasen R's first doctoral committee meeting at St. Peter's University in Chennai, India. The meeting covered Ganasen's proposed research on developing an advanced vertical handoff mechanism for wireless communication using a Fuzzy Vertical Handoff Decision algorithm. The broad area of research is wireless communication, with a focus on ensuring end-to-end connectivity across heterogeneous networks. The objectives are to provide "Always Best Connected" service and optimize vertical handoffs between networks based on criteria like signal strength and quality of service. Ganasen provided an outline of the proposed research covering literature reviews on existing handoff methods and the benefits of the proposed Fuzzy Logic approach.
This paper contains a report on an Audio-Visual Client Recognition System using Matlab software which identifies five clients and can be improved to identify as many clients as possible depending on the number of clients it is trained to identify which was successfully implemented. The implementation was accomplished first by visual recognition system implemented using The Principal Component Analysis, Linear Discriminant Analysis and Nearest Neighbour Classifier. A successful implementation of second part was achieved by audio recognition using Mel-Frequency Cepstrum Coefficient, Linear Discriminant Analysis and Nearest Neighbour Classifier the system was tested using images and sounds that have not been trained to the system to see whether it can detect an intruder which lead us to a very successful result with précised response to intruder.
This document discusses implementing a virtual private network (VPN) over multi-protocol label switching (MPLS). It begins with an introduction to MPLS and how it works using label switching to route packets. It then discusses VPNs and how MPLS VPNs use separate routing tables called virtual routing and forwarding tables to isolate customer networks. The document demonstrates configuring an MPLS VPN using the GNS3 network simulator with two customer edge routers connecting two customer sites over an MPLS provider network. MPLS, VPNs, and the specific configuration steps are described. In the results section, the routing tables of the customer edge routers are shown to have routes from both customer sites, demonstrating that the MPLS VPN was successfully implemented to connect
Este documento describe las funciones y herramientas básicas de PubMed para realizar búsquedas bibliográficas en bases de datos biomédicas. Explica cómo introducir términos de búsqueda, combinarlos con operadores lógicos, limitar los resultados por fecha, texto completo u otros criterios, y guardar referencias en un portapapeles. Además, detalla opciones avanzadas como buscar por autor, revista, tema o usar el índice MeSH.
This document analyzes a case study on digital marketing efforts by Tourism Canada. Email was an effective medium as it was low-cost, targeted, customizable, and measurable. The email campaign captured attention by using an integrated national campaign across multiple channels and by allowing users to share photos and experiences of favorite spots. Market research was important to identify the target market, determine the appropriate campaign type, segment audiences based on travel preferences, and understand spending habits on travel within and outside of Canada.
O documento apresenta os serviços de marketing digital da empresa ODIG para ajudar empresas a aumentar suas vendas online. Ele destaca como a ODIG ajudou a distribuidora de veículos Ford Superauto a crescer suas visitas ao site, leads e vendas através de otimização para mecanismos de busca, email marketing e chat online. Também discute como o marketing digital pode reduzir o custo de aquisição de clientes e como métricas e relatórios podem medir o retorno do investimento nessas estratégias.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...Cemal Ardil
This document summarizes research on efficient spreading codes for transmitter-based techniques to mitigate interference in time division duplex code division multiple access (TDD/CDMA) downlink systems. It investigates bitwise and blockwise multiuser transmission schemes that transfer complexity to the transmitter. Different spreading codes are evaluated based on correlation properties to determine suitability for techniques like precoding, pre-rake, and rake diversity. Performance is measured by bit error rate with varying numbers of users to identify the most efficient codes for interference mitigation.
Capacity Improvement of Cellular System Using Fractional Frequency Reuse (FFR)IJEEE
Today wireless communication is mostly used rather than wired communication, due to remote location reach ability, less fault occurrence, less time to commissioning and low cost etc. But wireless network has less frequency spectrum to cover the whole world. To improve the capacity of cellular system in a limited spectrum without major technological changes, frequency is reused in cells. But it offers interferences mostly for cell edge users. To solve the problem of spectral congestion and user capacity, fractional frequency reuse is used. This paper gives idea about different frequency reuse factors, fractional frequency reuse and super cell with sectoring to improve the capacity of cellular system.
PERFORMANCE ANALYSIS OF BARKER CODE BASED ON THEIR CORRELATION PROPERTY IN MU...ijistjournal
This document discusses performance analysis of Barker codes based on their correlation properties in a multi-user environment. It analyzes the auto-correlation and cross-correlation properties of long Barker codes. Barker codes have good auto-correlation properties and certain code pairs were found to have low cross-correlation, making them suitable for multi-user environments. The document also describes direct sequence spread spectrum modulation using pseudo-noise codes and the despreading process at the receiver.
PERFORMANCE ANALYSIS OF BARKER CODE BASED ON THEIR CORRELATION PROPERTY IN MU...ijistjournal
Spread-spectrum communication, with its inherent interference attenuation capability, has over the years become an increasingly popular technique for use in many different systems. They have very beneficial and tempting features, like Antijam, Security, and Multiple accesses. This thesis basically deals with the pseudo codes used in spread spectrum communication system. The cross-correlation and auto-correlation properties of the long Barker Code are analyzed. It has been seen that the length of the code, autocorrelation and cross-correlation properties can help us to determine the best suitable code for any particular communication environment. We have tried to find out the code with suitable auto-correlation properties along with low cross-correlation values. Barker code has good auto-correlation properties and we have found the pairs with the low cross- correlation so that they can be used in multi-user environment.
Study on Laser Communication: Features, Application, Advantagesijtsrd
Laser communications offer a viable alternative to RF communications for intersatellite links and other applications where high-performance links are necessary. High data rate, small antenna size, narrow beam divergence, and a narrow field of view are characteristics of laser communication that offer a number of potential advantages for system design. The high data rate and large information throughput available with laser communications are many times greater than in radio frequency (RF) systems. The small antenna size requires only a small increase in the weight and volume of host vehicle. In addition, this feature substantially reduces blockage of fields of view of the most desirable areas on satellites. The smaller antennas, with diameters typically less than 30cm, create less momentum disturbance to any sensitive satellite sensors. The narrow beam divergence of affords interference-free and secure operation. Prof. Atul A. Padghan | Prof. Ankit P. Jaiswal"Study on Laser Communication: Features, Application, Advantages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd10798.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/10798/study-on-laser-communication-features-application-advantages/prof-atul-a-padghan
Error Rate Analysis of MIMO System Using V Blast Detection Technique in Fadin...IJERA Editor
Wireless communication system with multi- antenna arrays has been a field of intensive analysis on the last years. The appliance of multiple sending antennas and Receiving Antennas either side will considerably enhance the data rate and rate. The review of the performance limitations of MIMO system becomes vital since it will provide lot ideas in understanding and planning the important life MIMO systems. Vertical Bell Laboratories layered space Time (V-BLAST). The thought behind Multiple Input and Multiple Output system is that the signals on the transmitter antennas at one finish and also the receiver antennas at the opposite finish are correlative in such how that the performance (Bit Error Rate or BER) or the info rate (bits/sec) of the wireless communication system for every MIMO subscriber are improved. During this paper we tend to are proposing a technique that evaluates the performance of V-BLAST MIMO system in several thought of Rayleigh attenuation surroundings to urge higher performance of the system. In V- BLAST MIMO system a number of linear detection techniques will be used for interference cancellation. At this point we are using MMSE-IC for the same. Our expected system provide higher error rate performance with the used of matched filter at receiver aspect .The projected system compared within the presence of AWGN. Now matched filter applied on V- BLAST MIMO with MMSE-IC system in fading diversity surroundings.
Performance analysis of adaptive beamforming at receiver side by using lms an...Ijrdt Journal
The Least Mean Squares (LMS) algorithm is an important member of the family of stochastic gradient algorithms. A significant feature of the LMS algorithm is its simplicity. The recursive least squares (RLS) algorithm recursively finds the filter coefficients for minimizing linear least squares cost function. Smart antenna generally refers to any antenna array. Beamforming is a signal processing technique used in sensor arrays for directional signal transmission or reception. This spatial selectivity is achieved by using adaptive or fixed receive/transmit beam patterns. The improvement compared with an omnidirectional reception/transmission is known as the receive/transmit gain (or loss). In this study, fixed weight beamforming basics and maximum signal to interference ratio are given. The theoretical information of adaptive beamforming, LMS (Least Mean Square) and RLS (Recursive Mean Squares) algorithms are explained. Adaptive beamforming in recieve antenna is simulated by using LMS and RLS algorithms. Simulation results are discussed and explained.
This document analyzes the performance of a four user optical code division multiple access (OCDMA) communication system under the effect of jitter. Simulations were conducted using Rsoft Optsim to evaluate the bit error rate (BER) and Q-factor of the system with jitter varying from 0 to 3 picoseconds. The results show that as jitter increases, BER increases and Q-factor decreases for different fiber lengths of 10km, 30km, 50km and 70km. Specifically, BER varies from 2.11E-02 to 1.71E-02 as jitter increases for a 10km fiber length. For a 30km length, BER increases from 2.11E-02 to 1.71
Optimized BER for channel equalizer using cuckoo search and neural network IJECEIAES
The digital data transfer faces issues regarding Inter-Symbol Interference (ISI); therefore, the error rate becomes dependent upon channel estimation and its equalization. This paper focuses on the development of a method for optimizing the channel data to improve ISI by utilizing a swarm intelligence series algorithm termed as Cuckoo Search (CS). The adjusted data through CS is cross-validated using Artificial Neural Network (ANN). The data acceptance rate is considered with 0-10% marginal error which varies in the given range with different bit streams. The performance evaluation of the proposed algorithm using the Average Bit Error Rate (A-BER) and Logarithmic Bit Error Rate (L-BER) had shown an overall improvement of 30-50% when compared with the Kalman filter based algorithm.
Implementation of Wide Band Frequency Synthesizer Base on DFS (Digital Frequ...IJMER
Wide Band Frequency Synthesizer has become essential components in wireless communication
systems. They are used as frequency synthesizers with precise and convenient digital control in both traditional
electronics, such as televisions and AM/FM radios, and modern consumer products among which cellular
mobile phone is a striking example.
IC fabrication technology advances have made monolithic integration possible. More and more
electronic devices can be put on the same chip to reduce the number of external components and then the costs.
Therefore, on a single chip we can accomplish many functions for which we might need to make several chips
work together a few years ago. A monolithic wide-band PLL is of great interests to wireless communication
applications due to both its low cost and convenience to switch between different communication standards.
The focus of this work is to implement a wide-band Frequency Synthesizer using as few as possible building
blocks and also as simple as possible structure.
This document discusses using decision feedback equalization to enhance the performance of optical communication systems. It proposes using a fractionally spaced decision feedback equalizer (FSDFE) combined with activity detection guidance (ADG) and tap decoupling (TD) to improve the equalizer's effectiveness. The FSDFE replaces the symbol spaced feedback filter with a fractionally spaced feedback filter to enhance stability, steady-state error performance, and convergence rate. Adding ADG and TD further improves the steady-state error performance and convergence rate by detecting active taps in the channel impulse response. Simulation results show the FSDFE with ADG and TD offers superior performance to the FSDFE without these techniques, with improved compensation of amplitude distortion.
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.
THRESHOLD BASED DATA REDUCTION FOR PROLONGING LIFE OF WIRELESS SENSOR NETWORKpijans
Wireless sensor network is a set of tiny elements i.e. sensors. WSN is used in the field of Health Monitoring,
Civil Construction, Military Applications and Agricultural etc., for monitoring environmental parameters.
The WSN is having the challenges like less processing power, less memory, less bandwidth and battery
powered. The data monitored through the sensors would be sent to the sink for data processing. The data
sent from sensor node can be controlled for saving the energy, as maximum energy is consumed for
transmission of data and it is not possible to replace the batteries frequently. In this work threshold based
and adaptive threshold based data reduction techniques with energy efficient shortest path are used for
minimizing the energy of sensor node and the network. Adaptive approach saves energy and reduce data by
30% to 40% as compared to threshold based approach
THRESHOLD BASED DATA REDUCTION FOR PROLONGING LIFE OF WIRELESS SENSOR NETWORKpijans
ABSTRACT
Wireless sensor network is a set of tiny elements i.e. sensors. WSN is used in the field of Health Monitoring, Civil Construction, Military Applications and Agricultural etc., for monitoring environmental parameters.The WSN is having the challenges like less processing power, less memory, less bandwidth and battery
powered. The data monitored through the sensors would be sent to the sink for data processing. The data sent from sensor node can be controlled for saving the energy, as maximum energy is consumed for transmission of data and it is not possible to replace the batteries frequently. In this work threshold based and adaptive threshold based data reduction techniques with energy efficient shortest path are used for minimizing the energy of sensor node and the network. Adaptive approach saves energy and reduce data by 30% to 40% as compared to threshold based approach.
This document summarizes a research paper that proposes using a genetic algorithm to efficiently cluster wireless sensor nodes. The genetic algorithm aims to minimize the total communication distance between sensors and the base station in order to prolong the network lifetime. Simulation results showed that the genetic algorithm can quickly find good clustering solutions that reduce energy consumption compared to previous clustering methods. The full paper provides details on wireless sensor networks, related clustering algorithms, genetic algorithms, and the proposed genetic algorithm-based clustering method.
This document analyzes the simulation parameters of a pulse shaping FIR filter for WCDMA. It simulates a square root raised cosine pulse shaping filter in MATLAB Simulink with varying group delay parameters. The simulation measures the number of bits, number of errors, and bit error rate at different group delays. It finds that the bit error rate is minimized at a group delay of 6 symbol periods. The optimal values found are a group delay of 6 and a roll off factor of 0.22.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
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.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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