1) The document discusses simulating spectrum sensing in cognitive radio networks using cyclostationary techniques. It aims to detect spectrum holes and classify primary user signals of different modulation schemes.
2) It reviews different spectrum sensing techniques and models/simulates cyclostationary-based sensing. Cyclostationary detection exploits the periodicity in primary user signals to identify their presence and can differentiate modulated signals from noise.
3) The methodology assumes a cognitive radio network with primary and secondary users. It formulates spectrum sensing as a hypothesis test to detect the presence or absence of primary users. It then discusses representing signals using their cyclostationary properties like the cyclic autocorrelation function.
IRJET- Performance Comparison of Cognitive Radio Network by Spectrum Sensing ...IRJET Journal
This document discusses and compares different spectrum sensing methods for cognitive radio networks. It focuses on analyzing the performance of energy detection spectrum sensing on various fading channels.
The key points are:
1. Cognitive radio can improve spectrum efficiency by allowing unlicensed secondary users to access spectrum holes not being used by licensed primary users, as long as they do not cause interference.
2. Energy detection is a commonly used spectrum sensing method that does not require prior knowledge of the primary signal. It works by comparing the detected signal energy to a threshold.
3. The performance of an energy detection based cognitive radio system is evaluated on different fading channels like AWGN, Rayleigh, and Nakagami fading channels using receiver
The document discusses performance evaluation of local and cooperative spectrum sensing techniques in cognitive radio. It implements energy detection, one-order and two-order cyclostationary feature detection as local spectrum sensing techniques. It also implements cooperative spectrum sensing using an energy detector across multiple cognitive radios. Further, it presents a software-defined approach to dynamic spectrum management and sharing between primary and secondary users. Simulation results demonstrating the receiver operating characteristics of the techniques are also included.
A comprehensive study of signal detection techniques for spectrum sensing in ...IAEME Publication
This document summarizes several signal detection techniques for spectrum sensing in cognitive radio systems. It begins with an introduction to cognitive radio and spectrum sensing. It then describes and compares three main non-cooperative (transmitter-based) detection techniques: matched filter detection, energy detection, and cyclostationary feature detection. Matched filter detection provides optimal detection but requires prior knowledge of the primary user's signal. Energy detection has lower complexity but cannot differentiate signals from noise. Cyclostationary feature detection can detect periodic signals but has higher complexity than energy detection.
This document discusses energy detection for spectrum sensing in cognitive radio using Simulink. It begins with an introduction to cognitive radio and its ability to opportunistically access unused spectrum bands. It then discusses spectrum sensing techniques, focusing on energy detection. Energy detection calculates the energy of the received signal and compares it to a threshold to determine if a primary user is present. The document presents a Simulink model for energy detection and shows output results for scenarios with different numbers of users and threshold values. It concludes that energy detection provides a simple method for cognitive radios to perform spectrum sensing without prior knowledge of primary user signals.
Spectrum Sensing in Cognitive Radio Networks : QoS Considerations csandit
This document discusses spectrum sensing methods in cognitive radio networks and their impact on quality of service (QoS). It analyzes several spectrum sensing methods including energy detection, covariance-based detection, cyclostationarity feature detection, correlation detection, radio identification based sensing, and matched filtering. These methods are categorized as requiring no prior information, requiring prior information, or being based on cooperation between secondary users. The document notes that imperfect spectrum sensing can degrade QoS for both primary and secondary users. It also discusses how increasing sensing time and frequency improves detection of primary users but reduces data transmission time and degrades QoS for secondary users.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Transferring quantum information through theijngnjournal
Transmission of information in the form of qubits much faster than the speed of light is the important
aspects of quantum information theory. Quantum information processing exploits the quantum nature of
information that needs to be stored, encoded, transmit, receive and decode the information in the form of
qubits. Bosonic channels appear to be very attractive for the physical implementation of quantum
communication. This paper does the study of quantum channels and how best it can be implemented with
the existing infrastructure that is the classical communication. Multiple access to the quantum network is
the requirement where multiple users want to transmit their quantum information simultaneously without
interfering with each others.
A SURVEY ON DYNAMIC SPECTRUM ACCESS TECHNIQUES IN COGNITIVE RADIOijngnjournal
Wireless networks are characterized by fixed spectrum policy. With increasing demands for wireless communication efficiently using the spectrum resources has become an essential issue. Cognitive radio is a form of wireless communication which is used to sense the spectrum and find the free spectrum. It is used by unlicensed users without causing interference to the licensed user. Cognitive radio with the dynamic spectrum access is key technology which provides the best solution by allowing a group of Secondary users to share the radio spectrum originally allocated to the primary users. Dynamically accessing the unused spectrum is known as dynamic spectrum access (DSA) which becomes a promising approach to increase
the efficiency of spectrum usage. In this paper, DSA models are discussed along with different methods such as game theory based method, a measurement-based model, network coded cognitive control channel, Markovian Queuing model, the Delay performance of threshold policies, fuzzy logic based method and spatio-temporal spectrum management model.
IRJET- Performance Comparison of Cognitive Radio Network by Spectrum Sensing ...IRJET Journal
This document discusses and compares different spectrum sensing methods for cognitive radio networks. It focuses on analyzing the performance of energy detection spectrum sensing on various fading channels.
The key points are:
1. Cognitive radio can improve spectrum efficiency by allowing unlicensed secondary users to access spectrum holes not being used by licensed primary users, as long as they do not cause interference.
2. Energy detection is a commonly used spectrum sensing method that does not require prior knowledge of the primary signal. It works by comparing the detected signal energy to a threshold.
3. The performance of an energy detection based cognitive radio system is evaluated on different fading channels like AWGN, Rayleigh, and Nakagami fading channels using receiver
The document discusses performance evaluation of local and cooperative spectrum sensing techniques in cognitive radio. It implements energy detection, one-order and two-order cyclostationary feature detection as local spectrum sensing techniques. It also implements cooperative spectrum sensing using an energy detector across multiple cognitive radios. Further, it presents a software-defined approach to dynamic spectrum management and sharing between primary and secondary users. Simulation results demonstrating the receiver operating characteristics of the techniques are also included.
A comprehensive study of signal detection techniques for spectrum sensing in ...IAEME Publication
This document summarizes several signal detection techniques for spectrum sensing in cognitive radio systems. It begins with an introduction to cognitive radio and spectrum sensing. It then describes and compares three main non-cooperative (transmitter-based) detection techniques: matched filter detection, energy detection, and cyclostationary feature detection. Matched filter detection provides optimal detection but requires prior knowledge of the primary user's signal. Energy detection has lower complexity but cannot differentiate signals from noise. Cyclostationary feature detection can detect periodic signals but has higher complexity than energy detection.
This document discusses energy detection for spectrum sensing in cognitive radio using Simulink. It begins with an introduction to cognitive radio and its ability to opportunistically access unused spectrum bands. It then discusses spectrum sensing techniques, focusing on energy detection. Energy detection calculates the energy of the received signal and compares it to a threshold to determine if a primary user is present. The document presents a Simulink model for energy detection and shows output results for scenarios with different numbers of users and threshold values. It concludes that energy detection provides a simple method for cognitive radios to perform spectrum sensing without prior knowledge of primary user signals.
Spectrum Sensing in Cognitive Radio Networks : QoS Considerations csandit
This document discusses spectrum sensing methods in cognitive radio networks and their impact on quality of service (QoS). It analyzes several spectrum sensing methods including energy detection, covariance-based detection, cyclostationarity feature detection, correlation detection, radio identification based sensing, and matched filtering. These methods are categorized as requiring no prior information, requiring prior information, or being based on cooperation between secondary users. The document notes that imperfect spectrum sensing can degrade QoS for both primary and secondary users. It also discusses how increasing sensing time and frequency improves detection of primary users but reduces data transmission time and degrades QoS for secondary users.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Transferring quantum information through theijngnjournal
Transmission of information in the form of qubits much faster than the speed of light is the important
aspects of quantum information theory. Quantum information processing exploits the quantum nature of
information that needs to be stored, encoded, transmit, receive and decode the information in the form of
qubits. Bosonic channels appear to be very attractive for the physical implementation of quantum
communication. This paper does the study of quantum channels and how best it can be implemented with
the existing infrastructure that is the classical communication. Multiple access to the quantum network is
the requirement where multiple users want to transmit their quantum information simultaneously without
interfering with each others.
A SURVEY ON DYNAMIC SPECTRUM ACCESS TECHNIQUES IN COGNITIVE RADIOijngnjournal
Wireless networks are characterized by fixed spectrum policy. With increasing demands for wireless communication efficiently using the spectrum resources has become an essential issue. Cognitive radio is a form of wireless communication which is used to sense the spectrum and find the free spectrum. It is used by unlicensed users without causing interference to the licensed user. Cognitive radio with the dynamic spectrum access is key technology which provides the best solution by allowing a group of Secondary users to share the radio spectrum originally allocated to the primary users. Dynamically accessing the unused spectrum is known as dynamic spectrum access (DSA) which becomes a promising approach to increase
the efficiency of spectrum usage. In this paper, DSA models are discussed along with different methods such as game theory based method, a measurement-based model, network coded cognitive control channel, Markovian Queuing model, the Delay performance of threshold policies, fuzzy logic based method and spatio-temporal spectrum management model.
1) Cognitive radio is a smart radio that can identify idle spectrum to transmit its own signals. It is based on software-defined radio and allows for opportunistic usage of available frequencies not being used by primary users.
2) Spectrum sensing techniques like cyclostationary feature detection can be used to detect primary user transmissions by analyzing the cyclic spectral correlation function. This method is more reliable and provides noise immunity.
3) Cooperative spectrum sensing allows multiple cognitive radios to cooperate and share sensing results to overcome issues like shadowing and multipath fading. This improves detection accuracy and agility.
Cognitive radio is an enhancement of software defined radio that allows radios to sense their environment and change operating parameters accordingly. It was first proposed in 1998 as a way to more efficiently utilize limited radio frequency spectrum. A cognitive radio can sense available portions of spectrum, then dynamically use those available channels while avoiding occupied ones. This allows for greater spectrum utilization and more flexible interoperability between different wireless technologies. However, cognitive radio also faces significant hardware and software challenges around dynamic reconfiguration, interference avoidance, and security that must be addressed for it to be fully realized.
Cognitive Radio Spectrum Sensing 1586 pptAnupam Yadav
This document discusses cognitive radio spectrum sensing. It begins with an introduction to cognitive radio and the need to more efficiently utilize licensed radio spectrum. It then discusses applications of cognitive radio networks in providing services to users. The document outlines the architecture of cognitive radio networks, including non-cooperative and cooperative architectures. It also discusses different types of spectrum sensing, including energy detection and its mathematical model. It describes an algorithm used for detection of spectrum holes using power spectral density. Simulation results are shown. Finally, references on cognitive radio and spectrum sensing are provided.
Implementation of a bpsk modulation based cognitive radio system using the en...csandit
We present in this work an energy detection algorit
hm, based on spectral power estimation, in
the context of cognitive radio. The algorithm is ba
sed on the Neyman-Pearson test where the
robustness of the appropriate spectral bands identi
fication, is based, at one hand, on the
‘judicious’ choice of the probability of detection
(P
D
) and false alarm probability (P
F
). First, we
accomplish a comparative study between two techniqu
es for estimation of PSD (Power Spectral
Density): the periodogram and Welch methods. Also,
the interest is focused on the choice of the
optimal duration of observation where we can state
that this latter one should be inversely
proportional to the level of the SNR of the transmi
tted signal to be sensed. The developed
algorithm is applied in the context of cognitive ra
dio. The algorithm aims to identify the free
spectral bands representing, reserved for the prima
ry user, of the signal carrying information,
issued from an ASCII encoding alphanumeric message
and utilizing the BPSK modulation,
transmitted through an AWGN (Added White Gaussian N
oise) channel. The algorithm succeeds
in identifying the free spectral bands even for low
SNR levels (e.g. to -2 dB) and allocate them
to the informative signal representing the secondar
y user.
In this prentation cognitive radio is described, discussed
and compared with software defined radio (SDR). The two types
of cognitive radio are presented and examples on both spectrum
interweave and spectrum underlay cognitive radio antenna systems
are detailed. Reconfigurable filtennas are proposed as communicating
antennas in a MIMO setting for both cases of cognitive
radio. The benefits of resorting to filtennas as well as toMIMO
configuration is shown and discussed herein. The various antenna
examples are designed, tested and compared with each other. Conclusions
are drawn based on the presented results.
Cooperative tv spectrum sensing in cognitive radio BY DEEPAK PORIYADeepak Poriya
This document discusses cooperative spectrum sensing in cognitive radio networks for Wi-Fi. It describes the system model of a Wi-Fi zone with primary and secondary users. It analyzes single user and cooperative spectrum sensing using energy detection algorithms. Cooperative sensing can use OR, AND or K-out-of-N rules at a fusion center to determine primary user presence. The document derives the optimal number of secondary users for the K-out-of-N rule and numerically calculates the optimal sensing time to minimize detection error probability and maximize throughput.
Collaborative cyclostationary spectrum sensing for cognitive radio systemskareenavolt
This article proposes an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. It extends an existing statistical hypothesis test for cyclostationarity to multiple cyclic frequencies and establishes its asymptotic distributions. It proposes collaborative test statistics to fuse local test statistics from secondary users, and a censoring technique where only informative test statistics are transmitted to reduce energy use. It also proposes a method to numerically approximate the asymptotic distribution of the censored test statistic. Simulations show the benefits of the proposed cyclostationary approach over energy detection, the importance of collaboration for overcoming fading, and the reliable performance even in very low SNR regimes under communication constraints.
Cognitive radio allows unlicensed secondary users to access licensed spectrum bands not currently in use by licensed primary users through spectrum sensing and dynamic spectrum access. It aims to improve spectrum utilization efficiency by exploiting spectrum holes - unused spectrum portions in time, frequency or space. Key techniques for cognitive radio include spectrum sensing to detect spectrum holes, spectrum sharing which allocates holes to secondary users while avoiding interference to primary users, and spectrum mobility which allows secondary users to handoff between bands when primary users become active. Challenges include hidden terminal problems, synchronization issues and dealing with uncertainties from noise, fading and shadowing.
The document discusses using cognitive radio technology for disaster management and emergency services. It proposes using cognitive radios to intelligently identify unused spectrum and optimize spectrum utilization during disasters when emergency networks are overloaded. The cognitive radios would be able to quickly find and communicate with each other on available channels using a random rendezvous algorithm, and configure radio parameters to communicate on different standards used by emergency services.
A review paper based on spectrum sensing techniques in cognitive radio networksAlexander Decker
This document summarizes different spectrum sensing techniques for cognitive radio networks. It discusses cooperative detection techniques which involve multiple cognitive radios sharing sensing information, and non-cooperative detection where radios act independently. Specific techniques covered include centralized, distributed, and relay-assisted cooperative sensing as well as blind sensing, energy detection, and eigenvalue-based sensing. The document concludes that cooperative sensing performs better than non-cooperative sensing, especially for low signal-to-noise ratio primary user signals.
Client Side Secure De-Duplication Scheme in Cloud Storage EnvironmentIRJET Journal
This document discusses enhancing throughput and spectrum sensing capabilities in cognitive radio networks. It proposes a novel cognitive radio system that allows for spectrum sensing and data transmission to occur simultaneously, overcoming the sensing-throughput tradeoff seen in conventional opportunistic spectrum access systems. The proposed system structure and receiver design are described, allowing the secondary receiver to decode the secondary transmission while using the remaining signal to sense for primary user presence over the full frame duration. This is compared to prior work where sensing time reduced data transmission time. The goal is to maximize both sensing time and data transmission time.
Cognitive Radio: When might it Become Economically and Technically Feasible? Jeffrey Funk
My Master's students use ideas from my (Jeff Funk) forthcoming book (Technology Change and the Rise of New Industries) to analyze the economic and technical feasibility of cognitive radio. See my other slides for details on concepts, methodology, and other new industries.
IRJET- Cooperative Spectrum Sensing based on Adaptive Threshold for Cognitive...IRJET Journal
This document discusses cooperative spectrum sensing based on an adaptive threshold for cognitive radio. It begins with an introduction to cognitive radio and spectrum sensing. It then discusses energy detection, the most common spectrum sensing method due to its low complexity. However, energy detection may not perform well in low signal-to-noise ratio environments. To address this, an adaptive threshold is proposed that varies based on the received primary user signal's SNR. The document also discusses cooperative spectrum sensing, where multiple cognitive radios sense the spectrum individually and share their decisions with a fusion center. The fusion center combines the decisions to make an overall determination with better performance than non-cooperative sensing. Simulation results showed that an adaptive threshold combined with cooperative spectrum sensing provides better detection
The document discusses spectrum usage and dynamic spectrum access. It notes that current spectrum policies result in inefficient usage, with some blocks saturated and others underused. Improved flexibility and regulation are needed. Context-aware applications and cross-layer optimization, including flexible spectrum use, could enhance service. Most discussions focus on cognitive radio and how it can intelligently manage radio systems and networks to better utilize spectrum.
This document discusses cognitive radio, including its definition, history, key concepts, and applications. It begins with an introduction to software defined radio and cognitive radio. It then covers spectrum sensing, management, and different sensing techniques. The document discusses how cognitive radios know their environment and can adapt based on learning. It also describes cooperative and non-cooperative sensing approaches and lists some challenges of cognitive radio technology. The applications and advantages of cognitive radio are summarized before concluding with an admission that cognitive radio is still an area of active research.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Cognitive radio is a type of wireless communication that senses its operational environment and can change its transmission parameters accordingly. It allows unlicensed users to access portions of the radio spectrum normally reserved for licensed users, provided they do not cause harmful interference. Key functions of cognitive radio include spectrum sensing, analysis, management and sharing to efficiently utilize available spectrum. It provides benefits like optimal diversity, improved spectrum efficiency and quality of service. However, issues like spectrum management and ensuring co-existence with other systems need to be addressed for cognitive radio to be effectively implemented. Potential applications include use in emergency communications and wireless regional area networks.
IRJET- Research on Dynamic Spectrum AllocationIRJET Journal
This document summarizes research on dynamic spectrum allocation using cognitive radio. It first provides background on the increasing interference in wireless networks due to the growing number of devices operating in unlicensed bands like the ISM band. It then introduces cognitive radio as a potential solution, which can detect available channels and adapt transmission accordingly to allow more concurrent devices. It discusses the main challenges for cognitive radios in not interfering with licensed users. The document reviews several papers on related topics like online spectrum allocation algorithms and surveys of spectrum management techniques. It also describes common spectrum sensing methods used by cognitive radios to detect spectrum holes like matched filtering, cyclostationary detection, and energy detection. Results are presented on performance metrics like end-to-end delay
Methods for Detecting Energy and Signals in Cognitive Radio: A ReviewIRJET Journal
This document provides a review of methods for detecting energy and signals in cognitive radio. It begins with an abstract that introduces cognitive radio technology and its ability to dynamically access radio spectrum. It then discusses the principles of cognitive radio, including spectrum sensing, management, and sharing. The document reviews literature on various energy detection methods and techniques. It describes cognitive radio stations and networks, explaining how cognitive radios can sense spectrum usage and select channels to improve efficiency. The review identifies energy detection as a common sensing method due to its simplicity but notes limitations in detection performance. It surveys recent research on enhanced energy detection techniques aimed at improving performance while maintaining low complexity.
Enhancement of Throughput & Spectrum Sensing of Cognitive Radio NetworksIRJET Journal
This document discusses enhancing throughput and spectrum sensing capabilities in cognitive radio networks. It proposes a novel cognitive radio system that allows for simultaneous spectrum sensing and data transmission, overcoming the traditional tradeoff between these two functions. The proposed system achieves improved throughput compared to conventional opportunistic spectrum access approaches by maximizing both sensing time and data transmission time to the full frame duration. Simulation results are provided to compare the throughput of the proposed system to conventional methods under a high target detection probability constraint.
1) Cognitive radio is a smart radio that can identify idle spectrum to transmit its own signals. It is based on software-defined radio and allows for opportunistic usage of available frequencies not being used by primary users.
2) Spectrum sensing techniques like cyclostationary feature detection can be used to detect primary user transmissions by analyzing the cyclic spectral correlation function. This method is more reliable and provides noise immunity.
3) Cooperative spectrum sensing allows multiple cognitive radios to cooperate and share sensing results to overcome issues like shadowing and multipath fading. This improves detection accuracy and agility.
Cognitive radio is an enhancement of software defined radio that allows radios to sense their environment and change operating parameters accordingly. It was first proposed in 1998 as a way to more efficiently utilize limited radio frequency spectrum. A cognitive radio can sense available portions of spectrum, then dynamically use those available channels while avoiding occupied ones. This allows for greater spectrum utilization and more flexible interoperability between different wireless technologies. However, cognitive radio also faces significant hardware and software challenges around dynamic reconfiguration, interference avoidance, and security that must be addressed for it to be fully realized.
Cognitive Radio Spectrum Sensing 1586 pptAnupam Yadav
This document discusses cognitive radio spectrum sensing. It begins with an introduction to cognitive radio and the need to more efficiently utilize licensed radio spectrum. It then discusses applications of cognitive radio networks in providing services to users. The document outlines the architecture of cognitive radio networks, including non-cooperative and cooperative architectures. It also discusses different types of spectrum sensing, including energy detection and its mathematical model. It describes an algorithm used for detection of spectrum holes using power spectral density. Simulation results are shown. Finally, references on cognitive radio and spectrum sensing are provided.
Implementation of a bpsk modulation based cognitive radio system using the en...csandit
We present in this work an energy detection algorit
hm, based on spectral power estimation, in
the context of cognitive radio. The algorithm is ba
sed on the Neyman-Pearson test where the
robustness of the appropriate spectral bands identi
fication, is based, at one hand, on the
‘judicious’ choice of the probability of detection
(P
D
) and false alarm probability (P
F
). First, we
accomplish a comparative study between two techniqu
es for estimation of PSD (Power Spectral
Density): the periodogram and Welch methods. Also,
the interest is focused on the choice of the
optimal duration of observation where we can state
that this latter one should be inversely
proportional to the level of the SNR of the transmi
tted signal to be sensed. The developed
algorithm is applied in the context of cognitive ra
dio. The algorithm aims to identify the free
spectral bands representing, reserved for the prima
ry user, of the signal carrying information,
issued from an ASCII encoding alphanumeric message
and utilizing the BPSK modulation,
transmitted through an AWGN (Added White Gaussian N
oise) channel. The algorithm succeeds
in identifying the free spectral bands even for low
SNR levels (e.g. to -2 dB) and allocate them
to the informative signal representing the secondar
y user.
In this prentation cognitive radio is described, discussed
and compared with software defined radio (SDR). The two types
of cognitive radio are presented and examples on both spectrum
interweave and spectrum underlay cognitive radio antenna systems
are detailed. Reconfigurable filtennas are proposed as communicating
antennas in a MIMO setting for both cases of cognitive
radio. The benefits of resorting to filtennas as well as toMIMO
configuration is shown and discussed herein. The various antenna
examples are designed, tested and compared with each other. Conclusions
are drawn based on the presented results.
Cooperative tv spectrum sensing in cognitive radio BY DEEPAK PORIYADeepak Poriya
This document discusses cooperative spectrum sensing in cognitive radio networks for Wi-Fi. It describes the system model of a Wi-Fi zone with primary and secondary users. It analyzes single user and cooperative spectrum sensing using energy detection algorithms. Cooperative sensing can use OR, AND or K-out-of-N rules at a fusion center to determine primary user presence. The document derives the optimal number of secondary users for the K-out-of-N rule and numerically calculates the optimal sensing time to minimize detection error probability and maximize throughput.
Collaborative cyclostationary spectrum sensing for cognitive radio systemskareenavolt
This article proposes an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. It extends an existing statistical hypothesis test for cyclostationarity to multiple cyclic frequencies and establishes its asymptotic distributions. It proposes collaborative test statistics to fuse local test statistics from secondary users, and a censoring technique where only informative test statistics are transmitted to reduce energy use. It also proposes a method to numerically approximate the asymptotic distribution of the censored test statistic. Simulations show the benefits of the proposed cyclostationary approach over energy detection, the importance of collaboration for overcoming fading, and the reliable performance even in very low SNR regimes under communication constraints.
Cognitive radio allows unlicensed secondary users to access licensed spectrum bands not currently in use by licensed primary users through spectrum sensing and dynamic spectrum access. It aims to improve spectrum utilization efficiency by exploiting spectrum holes - unused spectrum portions in time, frequency or space. Key techniques for cognitive radio include spectrum sensing to detect spectrum holes, spectrum sharing which allocates holes to secondary users while avoiding interference to primary users, and spectrum mobility which allows secondary users to handoff between bands when primary users become active. Challenges include hidden terminal problems, synchronization issues and dealing with uncertainties from noise, fading and shadowing.
The document discusses using cognitive radio technology for disaster management and emergency services. It proposes using cognitive radios to intelligently identify unused spectrum and optimize spectrum utilization during disasters when emergency networks are overloaded. The cognitive radios would be able to quickly find and communicate with each other on available channels using a random rendezvous algorithm, and configure radio parameters to communicate on different standards used by emergency services.
A review paper based on spectrum sensing techniques in cognitive radio networksAlexander Decker
This document summarizes different spectrum sensing techniques for cognitive radio networks. It discusses cooperative detection techniques which involve multiple cognitive radios sharing sensing information, and non-cooperative detection where radios act independently. Specific techniques covered include centralized, distributed, and relay-assisted cooperative sensing as well as blind sensing, energy detection, and eigenvalue-based sensing. The document concludes that cooperative sensing performs better than non-cooperative sensing, especially for low signal-to-noise ratio primary user signals.
Client Side Secure De-Duplication Scheme in Cloud Storage EnvironmentIRJET Journal
This document discusses enhancing throughput and spectrum sensing capabilities in cognitive radio networks. It proposes a novel cognitive radio system that allows for spectrum sensing and data transmission to occur simultaneously, overcoming the sensing-throughput tradeoff seen in conventional opportunistic spectrum access systems. The proposed system structure and receiver design are described, allowing the secondary receiver to decode the secondary transmission while using the remaining signal to sense for primary user presence over the full frame duration. This is compared to prior work where sensing time reduced data transmission time. The goal is to maximize both sensing time and data transmission time.
Cognitive Radio: When might it Become Economically and Technically Feasible? Jeffrey Funk
My Master's students use ideas from my (Jeff Funk) forthcoming book (Technology Change and the Rise of New Industries) to analyze the economic and technical feasibility of cognitive radio. See my other slides for details on concepts, methodology, and other new industries.
IRJET- Cooperative Spectrum Sensing based on Adaptive Threshold for Cognitive...IRJET Journal
This document discusses cooperative spectrum sensing based on an adaptive threshold for cognitive radio. It begins with an introduction to cognitive radio and spectrum sensing. It then discusses energy detection, the most common spectrum sensing method due to its low complexity. However, energy detection may not perform well in low signal-to-noise ratio environments. To address this, an adaptive threshold is proposed that varies based on the received primary user signal's SNR. The document also discusses cooperative spectrum sensing, where multiple cognitive radios sense the spectrum individually and share their decisions with a fusion center. The fusion center combines the decisions to make an overall determination with better performance than non-cooperative sensing. Simulation results showed that an adaptive threshold combined with cooperative spectrum sensing provides better detection
The document discusses spectrum usage and dynamic spectrum access. It notes that current spectrum policies result in inefficient usage, with some blocks saturated and others underused. Improved flexibility and regulation are needed. Context-aware applications and cross-layer optimization, including flexible spectrum use, could enhance service. Most discussions focus on cognitive radio and how it can intelligently manage radio systems and networks to better utilize spectrum.
This document discusses cognitive radio, including its definition, history, key concepts, and applications. It begins with an introduction to software defined radio and cognitive radio. It then covers spectrum sensing, management, and different sensing techniques. The document discusses how cognitive radios know their environment and can adapt based on learning. It also describes cooperative and non-cooperative sensing approaches and lists some challenges of cognitive radio technology. The applications and advantages of cognitive radio are summarized before concluding with an admission that cognitive radio is still an area of active research.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Cognitive radio is a type of wireless communication that senses its operational environment and can change its transmission parameters accordingly. It allows unlicensed users to access portions of the radio spectrum normally reserved for licensed users, provided they do not cause harmful interference. Key functions of cognitive radio include spectrum sensing, analysis, management and sharing to efficiently utilize available spectrum. It provides benefits like optimal diversity, improved spectrum efficiency and quality of service. However, issues like spectrum management and ensuring co-existence with other systems need to be addressed for cognitive radio to be effectively implemented. Potential applications include use in emergency communications and wireless regional area networks.
IRJET- Research on Dynamic Spectrum AllocationIRJET Journal
This document summarizes research on dynamic spectrum allocation using cognitive radio. It first provides background on the increasing interference in wireless networks due to the growing number of devices operating in unlicensed bands like the ISM band. It then introduces cognitive radio as a potential solution, which can detect available channels and adapt transmission accordingly to allow more concurrent devices. It discusses the main challenges for cognitive radios in not interfering with licensed users. The document reviews several papers on related topics like online spectrum allocation algorithms and surveys of spectrum management techniques. It also describes common spectrum sensing methods used by cognitive radios to detect spectrum holes like matched filtering, cyclostationary detection, and energy detection. Results are presented on performance metrics like end-to-end delay
Methods for Detecting Energy and Signals in Cognitive Radio: A ReviewIRJET Journal
This document provides a review of methods for detecting energy and signals in cognitive radio. It begins with an abstract that introduces cognitive radio technology and its ability to dynamically access radio spectrum. It then discusses the principles of cognitive radio, including spectrum sensing, management, and sharing. The document reviews literature on various energy detection methods and techniques. It describes cognitive radio stations and networks, explaining how cognitive radios can sense spectrum usage and select channels to improve efficiency. The review identifies energy detection as a common sensing method due to its simplicity but notes limitations in detection performance. It surveys recent research on enhanced energy detection techniques aimed at improving performance while maintaining low complexity.
Enhancement of Throughput & Spectrum Sensing of Cognitive Radio NetworksIRJET Journal
This document discusses enhancing throughput and spectrum sensing capabilities in cognitive radio networks. It proposes a novel cognitive radio system that allows for simultaneous spectrum sensing and data transmission, overcoming the traditional tradeoff between these two functions. The proposed system achieves improved throughput compared to conventional opportunistic spectrum access approaches by maximizing both sensing time and data transmission time to the full frame duration. Simulation results are provided to compare the throughput of the proposed system to conventional methods under a high target detection probability constraint.
Energy Detection Techniques for Cognitive Radio over Different Fading Channel...IRJET Journal
This document reviews energy detection techniques for spectrum sensing in cognitive radio over different fading channels. It discusses how energy detection works by measuring the received signal energy to determine if a channel is idle or occupied. It evaluates the performance of energy detection under Rayleigh, Nakagami, and Rician fading channels using metrics like probability of detection, probability of false alarm, and probability of missed detection. The document also provides background on cognitive radio and reviews related work on energy detection and spectrum sensing techniques.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
On the Performance Analysis of Blind Spectrum Sensing Methods for Different C...IRJET Journal
This document analyzes the performance of blind spectrum sensing methods under different communication channels. It discusses Rayleigh, Nakagami-m, Nakagami-n, and Nakagami-q fading channels in the context of a cognitive radio system using multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM). Blind eigenvalue-based detection methods are evaluated, which do not require prior knowledge of signals or noise variance. Simulations are performed in MATLAB to analyze the performance of these methods in different fading environments.
IMPLEMENTATION OF A BPSK MODULATION BASED COGNITIVE RADIO SYSTEM USING THE EN...cscpconf
We present in this work an energy detection algorithm, based on spectral power estimation, in
the context of cognitive radio. The algorithm is based on the Neyman-Pearson test where the
robustness of the appropriate spectral bands identification, is based, at one hand, on the
‘judicious’ choice of the probability of detection (PD) and false alarm probability (PF). First, we
accomplish a comparative study between two techniques for estimation of PSD (Power Spectral
Density): the periodogram and Welch methods. Also, the interest is focused on the choice of the
optimal duration of observation where we can state that this latter one should be inversely
proportional to the level of the SNR of the transmitted signal to be sensed. The developed
algorithm is applied in the context of cognitive radio. The algorithm aims to identify the free
spectral bands representing, reserved for the primary user, of the signal carrying information,
issued from an ASCII encoding alphanumeric message and utilizing the BPSK modulation,
transmitted through an AWGN (Added White Gaussian Noise) channel. The algorithm succeeds
in identifying the free spectral bands even for low SNR lev
METHODS FOR DETECTING ENERGY AND SIGNALS IN COGNITIVE RADIOIRJET Journal
This document discusses various methods for detecting energy and signals in cognitive radio systems. It begins with an overview of cognitive radio and the importance of spectrum sensing. It then describes several signal detection techniques used in cognitive radio, including energy detection, matched filtering, cyclostationary feature detection, and others. It also discusses more advanced techniques for signal detection in noisy environments, such as cooperative spectrum sensing. The main components of cognitive radio systems are outlined. Finally, specific spectrum sensing methods like wavelet packet transform and cyclostationary spectrum sensing are explained in more detail.
Simulation and analysis of cognitive radioijngnjournal
The increasing demand of wireless applications has put a lot of limitations on the use of available
radio spectrum is limited and precious resource. Many survey of spectrum utilization shows that entire
spectrum is not used at all the times, so many of the radio spectrum is underutilized. Some of the frequency
bands in the spectrum are unoccupied, some of the frequency bands less occupied and few bands are over
utilized. Cognitive radio system is a technique which overcomes that spectrum underutilization. Cognitive
radio is a technique where secondary user looks for a free band to use when primary user is not in use of
its licensed band. A function of cognitive radio is called Spectrum sensing which enables to search for the
free bands and it helps to detect the spectrum hole (frequency band which is free enough to be used) which
can be utilized by secondary user with high spectral resolution capability. The idea of simulation and
analysis of Cognitive Radio System to reuse unused spectrum to increase the total system capacity was
brought in this paper and this work digs into the practical implementation of a Cognitive radio system.
MATLAB R2007b (version7.5) has been used to test the performance of Cognitive radio dynamically.
With cloud computing, users can remotely store their data into the cloud and use on-demand high-quality applications. Data outsourcing: users are relieved from the burden of data storage and maintenance When users put their data (of large size) on the cloud, the data integrity protection is challenging enabling public audit for cloud data storage security is important Users can ask an external audit party to check the integrity of their outsourced data. Purpose of developing data security for data possession at un-trusted cloud storage servers we are often limited by the resources at the cloud server as well as at the client. Given that the data sizes are large and are stored at remote servers, accessing the entire file can be expensive in input output costs to the storage server. Also transmitting the file across the network to the client can consume heavy bandwidths. Since growth in storage capacity has far outpaced the growth in data access as well as network bandwidth, accessing and transmitting the entire archive even occasionally greatly limits the scalability of the network resources. Furthermore, the input output to establish the data proof interferes with the on-demand bandwidth of the server used for normal storage and retrieving purpose. The Third Party Auditor is a respective person to manage the remote data in a global manner.
Simulation Analysis of Prototype Filter Bank Multicarrier Cognitive Radio Und...ijeei-iaes
Cognitive Radio has proven as a optimum technique for getting improved spectrum utilization by sharing the radio spectrum with licensed primary users opportunistically. The cognitive radio is a new paradigm to overcome the persisting problem of spectrum underutilization.Seeing the everincreasing demand of wireless applications,the radio sp ectrum is a valuable resource and in cognitive radio systems,trustworthy spectrum sensing techniques are required to avoid any harmful interference to the primary users.As cognitive radio possess the capability to utilise the unused spectrum holes or white spaces so,there is a tremendous need to scan the large range of spectrum either for interference management or for primary receiver detection.Dynamic Spectrum Access techniques need to be implemented for the sake of better radio resource management and computational complexity analysis of multirate filter bank cognitive radio,where BER and Eb/No are the performance metrics or governing parameters to affect the system performance using polyphase filter bank.The present paper deals with the study of effect of variation of number of subchannels M at fix overlapping factor K of polyphase component of Filter Bank Multicarrier cognitive radio in terms of prototype filter length at Lp=K*M .
This document reviews the Security and QoS Aware Dynamic Clustering (SQADC) Routing protocol for cognitive radio networks (CRNs). It first discusses existing routing protocols for CRNs and identifies gaps, including that most focus on improving quality of service but few address security issues. It then outlines the objectives of designing a new routing protocol to achieve a tradeoff between QoS performance and security performance for CRNs. The proposed SQADC protocol will use dynamic clustering based on ant colony optimization for cluster head selection and re-clustering to optimize spectrum allocation and quality of service while introducing a lightweight trust-based mechanism for detecting malicious nodes.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
INVESTIGATION OF RADIO FREQUENCY LICENSED SPECTRUM UTILIZATION IN NIGERIA: A ...ijwmn
This study was carried out to investigate the spectrum utilization of the licensed Radio Frequency (RF)
spectrum in Rumuokwuta, Port Harcourt. An outdoor measurement of spectrum occupancy was carried out
in a high-rise building situated at Rumuokwuta urban area in Port Harcourt, Nigeria using RF explorer
spectrum analyzer and a personal computer laptop system. Spectrum activities in the band of 240-960 MHz
were monitored for 24 hours. The frequency band was subdivided into 24 sub bands each with a span size
of 30 MHz. Scanning of bands was made efficient using a python script that scans a range, analyzed the
frequencies and signal strengths for 112 data points, saves data in CSV file format, scans the next range
until the 24 ranges were scanned. The process was repeated to achieve 15 iterations. With a noise floor of -
110dBm, a threshold of -95dBm was used to determine the presence of signal, hence the spectrum
occupancy of measured bands. Results showed that out of the 24 investigated sub bands; only one band
was completely occupied with spectrum occupancy of 100%. 12 bands were partially occupied while 11
were completely free. The average spectrum occupancy for the whole band was obtained as 11.64%. This
showed good location for dynamic spectrum access and cognitive radio deployment, especially in
Television White Space (TVWS).
INVESTIGATION OF RADIO FREQUENCY LICENSED SPECTRUM UTILIZATION IN NIGERIA: A ...ijwmn
This study was carried out to investigate the spectrum utilization of the licensed Radio Frequency (RF) spectrum in Rumuokwuta, Port Harcourt. An outdoor measurement of spectrum occupancy was carried out in a high-rise building situated at Rumuokwuta urban area in Port Harcourt, Nigeria using RF explorer spectrum analyzer and a personal computer laptop system. Spectrum activities in the band of 240-960 MHz were monitored for 24 hours. The frequency band was subdivided into 24 sub bands each with a span size of 30 MHz. Scanning of bands was made efficient using a python script that scans a range, analyzed the frequencies and signal strengths for 112 data points, saves data in CSV file format, scans the next range until the 24 ranges were scanned. The process was repeated to achieve 15 iterations. With a noise floor of - 110dBm, a threshold of -95dBm was used to determine the presence of signal, hence the spectrum occupancy of measured bands. Results showed that out of the 24 investigated sub bands; only one band was completely occupied with spectrum occupancy of 100%. 12 bands were partially occupied while 11 were completely free. The average spectrum occupancy for the whole band was obtained as 11.64%. This showed good location for dynamic spectrum access and cognitive radio deployment, especially in Television White Space (TVWS).
A SURVEY ON DYNAMIC SPECTRUM ACCESS TECHNIQUES FOR COGNITIVE RADIOijngnjournal
Cognitive radio (CR) is a new paradigm that utilizes the available spectrum band. The key characteristic of CR system is to sense the electromagnetic environment to adapt their operation and dynamically vary its radio operating parameters. The technique of dynamically accessing the unused spectrum band is known as Dynamic Spectrum Access (DSA). The dynamic spectrum access technology helps to minimize unused spectrum bands. In this paper, main functions of Cognitive Radio (CR) i.e. spectrum sensing, spectrum management, spectrum mobility and spectrum sharing are discussed. Then DSA models are discussed along with different methods of DSA such as Command and Control, Exclusive-Use, Shared Use of Primary Licensed User and Commons method. Game-theoretic approach using Bertrand game model, Markovian Queuing Model for spectrum allocation in centralized architecture and Fuzzy logic based method are also discussed and result are shown.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
This document summarizes research on evaluating the performance of spectrum sensing for Wi-Fi and WiMAX signals over Rayleigh and Rician fading channels using cyclostationary detection techniques. Simulation results show that WiMAX has slightly higher bit error rates than Wi-Fi at the same signal-to-noise ratio. The proposed cyclostationary spectrum sensing method can detect orthogonal frequency division multiplexing signals in noise with less complexity than previous approaches. This technique is evaluated using Wi-Fi and WiMAX systems to validate its effectiveness.
Similar to IRJET- Simulating Spectrum Sensing in Cognitive Radio Network using Cyclostationary Technique (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.