This document discusses simulating a frequency modulated continuous wave (FMCW) radar system for detecting multiple targets. It describes how FMCW radar works by transmitting a frequency modulated chirp signal and using the frequency shift between the transmitted and received signals to determine target range and velocity. The simulation aims to improve range resolution through signal processing algorithms like fast Fourier transform (FFT), constant false alarm rate (CFAR), and multiple signal classification (MUSIC). It creates an environment with multiple targets and uses the algorithms to detect the targets and determine their distances, velocities, and angular positions.
Clutter reduction technique based on clutter model for automatic target class...TELKOMNIKA JOURNAL
Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database’s size.
A Review on Identification of RADAR Range for the Target by using C BandIRJET Journal
This document discusses using C band radar to identify the range of targets. It begins by describing C band radar technology and how it uses electromagnetic waves in the 4-8 GHz range to determine target properties like range, speed, and direction. It then discusses how the design combines RF transmission and reception components with digital signal processing. The document outlines the methodology, which includes calculating radar cross section (RCS) of targets at different frequencies, calculating received power based on RCS, and using power levels to determine maximum detection range. It describes applying digital beamforming and MIMO to the design for improved accuracy and coverage. The goal is to use this approach to quantify detection ranges for targets like small aircraft and UAVs using C band radar
A small vessel detection using a co-located multi-frequency FMCW MIMO radar IJECEIAES
Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. The paper presented a co-located frequency modulated continuous waveform (FMCW) maritime radar for small vessel detection utilising a multiple-input multiple-output (MIMO) configuration. The radar behaviour is numerically simulated for detecting a Swerling 1 target which resembles small maritime’s vessels. The simulated MIMO configuration comprised two transmitting and receiving nodes. The proposal is to utilize a multi-frequency FMCW MIMO configuration in a maritime environment by applying the spectrum averaging (SA) to fuse MIMO received signals for range and velocity estimation. The analysis was summarised and displayed in terms of estimation error performance, probability of error and average error. The simulation outcomes an improvement of 2.2 dB for a static target, and 0.1 dB for a moving target, in resulting the 20% probability of range error with the MIMO setup. A moving vessel's effect was observed to degrade the range error estimation performance between 0.6 to 2.7 dB. Meanwhile, the proposed method was proven to improve the 20% probability of velocity error by 1.75 dB. The impact of multi-frequency MIMO was also observed to produce better average error performance.
In recent past the influence of Radar has played a significant part in various fields. Radar sensing is one of
the prime application by which velocity and distance of a moving target can be found out. A joint RadCom
system to serve both radar sensing and wireless communication is proposed which ensures better
performance in terms of spectral efficiency, extended detection range and cost effectiveness. Such systems
demand for a common waveform which is designed in this work that perfectly matches to the system
requirements. OFDM multi carrier technique is chosen to generate a common waveform. Applicability of
multiple antenna technique for direction of arrival estimation is also considered. MIMO-OFDM technique
has gained much interest in the field of communication which improves the signal to noise ratio and lowers
the bit error rate. On the other hand the usage of MIMO reflects in the form of interference between
signals. In order to overcome this effect beamforming technique is used. In addition to theoretical
explanations we have also simulated and discussed the results for the proposed RadCom system using
MATLAB simulation tool.
This document discusses the application of digital signal processing in radar signals. It provides an overview of how DSP is used extensively in modern radar systems, both at the transmitter to generate pulses and control antennas, and at the receiver to perform tasks like clutter removal and beamforming. The document also reviews some key techniques in DSP for radar signals, including constant false alarm rate processing and matched filtering for signal detection. It describes how DSP helps with tasks like tracking multiple targets, resolving measurement ambiguities, and combining information from radar and other sources.
Robust automotive radar interference mitigation using multiplicative-adaptive...IJECEIAES
Radar is one of the sensors that have significant attention to be implemented in an autonomous vehicle since its robustness under many possible environmental conditions such as fog, rain, and poor light. However, the implementation risks interference because of transmitting and/or receiving radar signals from/to other vehicles. This interference will increase the floor noise that can mask the target signal. This paper proposes multiplicative-adaptive filtering and Hilbert transform to mitigate the interference effect and maintain the target signal detectability. The method exploited the trade-off between the step-size and sidelobe effect on the least mean square-based adaptive filtering to improve the target detection accuracy, especially in the long-range case. The numerical analysis on the millimeter-wave frequency modulated continuous wave radar with multiple interferers concluded that the proposed method could maintain and enhance the target signal even if the target range is relatively far from the victim radar.
Implementation of Adaptive Digital Beamforming using CordicEditor IJCATR
This document summarizes an article that proposes implementing adaptive digital beamforming using the CORDIC (COordinate Rotation DIgital Computer) algorithm. It first provides background on beamforming, sonar imaging, and the CORDIC theory. It then describes the proposed work of using CORDIC-based beamforming in an underwater sonar system to detect objects and determine angles. The system would transmit beamformed data, generate beamformed data at the receiver, and then use an optimized CORDIC algorithm to eliminate interference and noise from the received data.
Sensing of Spectrum for SC-FDMA Signals in Cognitive Radio NetworksIRJET Journal
The document proposes a technique for detecting spectrum used by interleaved single-carrier frequency-division multiple access (SC-FDMA) signals in cognitive radio networks. A metric is defined based on cyclostationary features to identify if subcarriers allocated to primary users are available for secondary users. The Neyman-Pearson test is used to examine two hypotheses (H0 and H1) representing the absence and presence of primary users. Simulation results show the proposed method outperforms existing techniques like autocorrelation of cyclic prefix and energy detection, with lower complexity but similar detection performance at low signal-to-noise ratios. The performance is evaluated under various conditions like number of users, pilot signals, window length, and block length
Clutter reduction technique based on clutter model for automatic target class...TELKOMNIKA JOURNAL
Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database’s size.
A Review on Identification of RADAR Range for the Target by using C BandIRJET Journal
This document discusses using C band radar to identify the range of targets. It begins by describing C band radar technology and how it uses electromagnetic waves in the 4-8 GHz range to determine target properties like range, speed, and direction. It then discusses how the design combines RF transmission and reception components with digital signal processing. The document outlines the methodology, which includes calculating radar cross section (RCS) of targets at different frequencies, calculating received power based on RCS, and using power levels to determine maximum detection range. It describes applying digital beamforming and MIMO to the design for improved accuracy and coverage. The goal is to use this approach to quantify detection ranges for targets like small aircraft and UAVs using C band radar
A small vessel detection using a co-located multi-frequency FMCW MIMO radar IJECEIAES
Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. The paper presented a co-located frequency modulated continuous waveform (FMCW) maritime radar for small vessel detection utilising a multiple-input multiple-output (MIMO) configuration. The radar behaviour is numerically simulated for detecting a Swerling 1 target which resembles small maritime’s vessels. The simulated MIMO configuration comprised two transmitting and receiving nodes. The proposal is to utilize a multi-frequency FMCW MIMO configuration in a maritime environment by applying the spectrum averaging (SA) to fuse MIMO received signals for range and velocity estimation. The analysis was summarised and displayed in terms of estimation error performance, probability of error and average error. The simulation outcomes an improvement of 2.2 dB for a static target, and 0.1 dB for a moving target, in resulting the 20% probability of range error with the MIMO setup. A moving vessel's effect was observed to degrade the range error estimation performance between 0.6 to 2.7 dB. Meanwhile, the proposed method was proven to improve the 20% probability of velocity error by 1.75 dB. The impact of multi-frequency MIMO was also observed to produce better average error performance.
In recent past the influence of Radar has played a significant part in various fields. Radar sensing is one of
the prime application by which velocity and distance of a moving target can be found out. A joint RadCom
system to serve both radar sensing and wireless communication is proposed which ensures better
performance in terms of spectral efficiency, extended detection range and cost effectiveness. Such systems
demand for a common waveform which is designed in this work that perfectly matches to the system
requirements. OFDM multi carrier technique is chosen to generate a common waveform. Applicability of
multiple antenna technique for direction of arrival estimation is also considered. MIMO-OFDM technique
has gained much interest in the field of communication which improves the signal to noise ratio and lowers
the bit error rate. On the other hand the usage of MIMO reflects in the form of interference between
signals. In order to overcome this effect beamforming technique is used. In addition to theoretical
explanations we have also simulated and discussed the results for the proposed RadCom system using
MATLAB simulation tool.
This document discusses the application of digital signal processing in radar signals. It provides an overview of how DSP is used extensively in modern radar systems, both at the transmitter to generate pulses and control antennas, and at the receiver to perform tasks like clutter removal and beamforming. The document also reviews some key techniques in DSP for radar signals, including constant false alarm rate processing and matched filtering for signal detection. It describes how DSP helps with tasks like tracking multiple targets, resolving measurement ambiguities, and combining information from radar and other sources.
Robust automotive radar interference mitigation using multiplicative-adaptive...IJECEIAES
Radar is one of the sensors that have significant attention to be implemented in an autonomous vehicle since its robustness under many possible environmental conditions such as fog, rain, and poor light. However, the implementation risks interference because of transmitting and/or receiving radar signals from/to other vehicles. This interference will increase the floor noise that can mask the target signal. This paper proposes multiplicative-adaptive filtering and Hilbert transform to mitigate the interference effect and maintain the target signal detectability. The method exploited the trade-off between the step-size and sidelobe effect on the least mean square-based adaptive filtering to improve the target detection accuracy, especially in the long-range case. The numerical analysis on the millimeter-wave frequency modulated continuous wave radar with multiple interferers concluded that the proposed method could maintain and enhance the target signal even if the target range is relatively far from the victim radar.
Implementation of Adaptive Digital Beamforming using CordicEditor IJCATR
This document summarizes an article that proposes implementing adaptive digital beamforming using the CORDIC (COordinate Rotation DIgital Computer) algorithm. It first provides background on beamforming, sonar imaging, and the CORDIC theory. It then describes the proposed work of using CORDIC-based beamforming in an underwater sonar system to detect objects and determine angles. The system would transmit beamformed data, generate beamformed data at the receiver, and then use an optimized CORDIC algorithm to eliminate interference and noise from the received data.
Sensing of Spectrum for SC-FDMA Signals in Cognitive Radio NetworksIRJET Journal
The document proposes a technique for detecting spectrum used by interleaved single-carrier frequency-division multiple access (SC-FDMA) signals in cognitive radio networks. A metric is defined based on cyclostationary features to identify if subcarriers allocated to primary users are available for secondary users. The Neyman-Pearson test is used to examine two hypotheses (H0 and H1) representing the absence and presence of primary users. Simulation results show the proposed method outperforms existing techniques like autocorrelation of cyclic prefix and energy detection, with lower complexity but similar detection performance at low signal-to-noise ratios. The performance is evaluated under various conditions like number of users, pilot signals, window length, and block length
Automatic target detection and localization using ultra-wideband radarIJECEIAES
The pulse ultra-wide band (UWB) radar consists of switching of energy of very short duration in an ultra-broadband emission chain, and the UWB signal emitted is an ultrashort pulse, of the order of nanoseconds, without a carrier. These systems can indicate the presence and distances of a distant object, call a target, and determine its size, shape, speed, and trajectory. In this paper, we present a UWB radar system allowing the detection of the presence of a target and its localization in a road environment based on the principle of correlation of the reflected signal with the reference and the determination of its correlation peak.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
The document proposes a new hybrid method for synthetic aperture radar (SAR) deceptive jamming. The method uses a digital radio frequency memory (DRFM) system incorporated with a SAR raw data simulation module. First, a reconnaissance system is used to estimate parameters of the enemy SAR system. Then, raw SAR data for a deceptive image is generated using inverse SAR image formation. This data is convolved with the intercepted SAR signals using DRFM. The resulting jamming signal is transmitted to deceive the enemy SAR system. The experimental results demonstrate the ability of the proposed jammer to deceive SAR systems while being robust against electronic counter-countermeasures techniques.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
Based on the synthetic aperture radar (SAR) geometric model, a novel, and fast algorithm of large scene deceptive jamming against different SAR systems is proposed. First, a template deceptive image is transformed into the time domain signal using inverse image formation algorithm. Then, the transformed signal is convolved with enemy’s received SAR signal in order to cope with electronic countercountermeasures (ECCM) techniques. Finally, the generated jamming signal is transmitted to enemy’s SAR system for deceptive purpose. Specifically, we have proposed a hybrid method for SAR jamming, which uses a digital radio frequency memory (DRFM) system incorporating with SAR raw data simulation module. The experimental results for the proposed deceptive jammer demonstrate its ability to deceive SAR system.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
Based on the synthetic aperture radar (SAR) geometric model, a novel, and fast algorithm of large scene
deceptive jamming against different SAR systems is proposed. First, a template deceptive image is
transformed into the time domain signal using inverse image formation algorithm. Then, the transformed
signal is convolved with enemy’s received SAR signal in order to cope with electronic counter-
countermeasures (ECCM) techniques. Finally, the generated jamming signal is transmitted to enemy’s SAR
system for deceptive purpose. Specifically, we have proposed a hybrid method for SAR jamming, which
uses a digital radio frequency memory (DRFM) system incorporating with SAR raw data simulation
module. The experimental results for the proposed deceptive jammer demonstrate its ability to deceive SAR
system.
Application Of Digital Signal Processing In Radar SignalsRichard Hogue
This document discusses the application of digital signal processing techniques in radar systems. It provides an overview of how digital signal processing is used extensively in modern radar, such as at the transmitter to generate pulses and at the receiver for tasks like clutter removal and beamforming. The main tasks of a radar signal processor are discussed, including decisions about targets, maintaining constant false alarm rates, tracking targets, resolving ambiguities, and countering interference. Detection of signals is also covered, along with fast convolution filter implementations using dual and single FFT pipelines for matched filtering.
IRJET- An Un-Hackable Security based Software Defined Radio using Wireles...IRJET Journal
This document presents a novel method for securing software defined radios (SDRs) from configuration tampering even if the operating system is compromised. It proposes a "Security Monitor" module that would sit below the operating system and above the hardware to monitor radio parameters. The method aims to improve position and transmission power estimation of unknown wireless devices by introducing a new process for estimating the path loss exponent, which is critical for accuracy. Simulation results showed the proposed method achieved better position estimation accuracy than existing approaches. In summary, the document proposes and simulates a security module for SDRs to prevent parameter tampering and improve wireless device localization.
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.
This document discusses adaptive cruise control (ACC) systems which help drivers maintain a safe distance from vehicles ahead. [1] ACC uses sensors like radar or lidar to detect the speed and distance of nearby vehicles and controls braking/acceleration accordingly. [2] More advanced systems allow vehicles to communicate with each other via technologies like Bluetooth to coordinate speeds and braking, forming "platoons" of vehicles with minimized spacing between them for improved traffic flow. [3] While ACC helps relieve driver workload, challenges remain around high costs and ensuring drivers remain attentive with such assistive systems.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMSNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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
Development of a Multichannel Analyzer for Radioactive Isotopes Detectionijtsrd
This report is a summary of work carried out at Defence Laboratory DRDO Jodhpur during internship as a part of Masters of Computer Application. The report is the brief description of study about the Multichannel Analyzer and crystallization of work. The work helps in developing insight on a state of the robust technology MCA to identify radioisotopes during the nuclear emergency. Study of Multichannel Analyzer is in the way that it would be able to store the spectrum that is to be displayed. Ferventness of MCA spectrum is classified further in two parts respectively which are Energy spectrum that is Calibrated and Pulse Height spectrum which is non calibrated. A new approach to problem solving is in the direction of feasible survey, and in addition to this requires a remarkably low down time by measuring the spectrum pattern on site in nuclear emergency. The solution is the so called near field spectrum pattern measurement method, which requires mathematical parameters and algorithms. Hemant Singh Rajpurohit | Prof. Bhuvana J "Development of a Multichannel Analyzer for Radioactive Isotopes Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49790.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/49790/development-of-a-multichannel-analyzer-for-radioactive-isotopes-detection/hemant-singh-rajpurohit
Spectral estimator effects on accuracy of speed-over-ground radarIJECEIAES
Spectral estimation is a critical signal processing step in speed-over-ground (SoG) radar. It is argued that, for accurate speed estimation, spectral estimation should use low bias and variance estimator. However, there is no evaluation on spectral estimation techniques in terms of estimating mean Doppler frequency to date. In this paper, we evaluate two common spectral estimation techniques, namely periodogram based on Fourier transformation and the autoregressive (AR) based on burg algorithm. These spectral estimators are evaluated in terms of their bias and variance in estimating a mean frequency. For this purpose, the spectral estimators are evaluated with different Doppler signals that varied in mean frequency and signal-to-noise ratio (SNR). Results in this study indicates that the periodogram method performs well in most of the tests while the AR method did not perform as well as these but offered a slight improvement over the periodogram in terms of variance.
This document describes a digital down converter (DDC) implemented on a Xilinx FPGA Virtex-5 device. The DDC allows a received intermediate frequency (IF) signal to be down converted to baseband. It uses a direct digital synthesizer to generate sine and cosine signals to mix with the input samples in a mixer, producing in-phase and quadrature signals. These pass through a low-pass filter to reject images and yield a complex baseband representation of the original signal. Implementing the filter as a multi-stage FIR filter approach optimizes the DDC with respect to hardware complexity, speed and power dissipation compared to a single-stage FIR filter. The DDC is controlled by commands received over
This document discusses cyclostationary feature detection for spectrum sensing in cognitive radio using various modulation schemes. It presents the block diagrams for cyclostationary feature detection without and with modulation. It simulates the detection using BPSK, QPSK, and 8-PSK modulation and analyzes the output cyclic spectral correlation function. The main results are that BPSK produces one primary and one secondary peak, QPSK produces one primary and two secondary peaks, and 8-PSK produces one primary and four secondary peaks in the output, allowing identification of the modulation scheme used.
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...IRJET Journal
This document discusses and compares two spectrum sensing techniques for cognitive radio networks: energy detection and matched filter detection. It analyzes the performance of these techniques based on probability of detection and probability of false alarm under different signal-to-noise ratio levels and fading channel models (AWGN, flat fading, Rayleigh fading). The key findings are that matched filter detection has better performance than energy detection, but requires prior knowledge of the primary signal. Energy detection has lower complexity but performs poorly in low SNR scenarios. Overall, matched filter detection results in lower probability of false alarms compared to energy detection.
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...IRJET Journal
This document discusses and compares two spectrum sensing techniques for cognitive radio networks: energy detection and matched filter detection. It analyzes the performance of these techniques based on probability of detection and probability of false alarm under different signal-to-noise ratio levels and fading channel models (AWGN, flat fading, Rayleigh fading). The key findings are that matched filter detection has better performance than energy detection, but requires prior knowledge of the primary signal. Energy detection has lower complexity but performs poorly in low SNR scenarios. Overall, matched filter detection results in lower probability of false alarms compared to energy detection.
Multi-Target Classification Using Acoustic Signatures in Wireless Sensor Netw...CSCJournals
This document surveys techniques for classifying vehicles based on acoustic signals detected by wireless sensor networks. It discusses three main areas: feature extraction, classification techniques, and information fusion. For feature extraction, it describes techniques in the time, frequency and time-frequency domains like FFT, wavelet transforms, MFCC. It evaluates classifiers like ANN, SVM, HMM using features from spectrum analysis and wavelet packet transform. Finally, it discusses information fusion techniques like majority voting, Bayesian methods to improve classification performance.
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
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Automatic target detection and localization using ultra-wideband radarIJECEIAES
The pulse ultra-wide band (UWB) radar consists of switching of energy of very short duration in an ultra-broadband emission chain, and the UWB signal emitted is an ultrashort pulse, of the order of nanoseconds, without a carrier. These systems can indicate the presence and distances of a distant object, call a target, and determine its size, shape, speed, and trajectory. In this paper, we present a UWB radar system allowing the detection of the presence of a target and its localization in a road environment based on the principle of correlation of the reflected signal with the reference and the determination of its correlation peak.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
The document proposes a new hybrid method for synthetic aperture radar (SAR) deceptive jamming. The method uses a digital radio frequency memory (DRFM) system incorporated with a SAR raw data simulation module. First, a reconnaissance system is used to estimate parameters of the enemy SAR system. Then, raw SAR data for a deceptive image is generated using inverse SAR image formation. This data is convolved with the intercepted SAR signals using DRFM. The resulting jamming signal is transmitted to deceive the enemy SAR system. The experimental results demonstrate the ability of the proposed jammer to deceive SAR systems while being robust against electronic counter-countermeasures techniques.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
Based on the synthetic aperture radar (SAR) geometric model, a novel, and fast algorithm of large scene deceptive jamming against different SAR systems is proposed. First, a template deceptive image is transformed into the time domain signal using inverse image formation algorithm. Then, the transformed signal is convolved with enemy’s received SAR signal in order to cope with electronic countercountermeasures (ECCM) techniques. Finally, the generated jamming signal is transmitted to enemy’s SAR system for deceptive purpose. Specifically, we have proposed a hybrid method for SAR jamming, which uses a digital radio frequency memory (DRFM) system incorporating with SAR raw data simulation module. The experimental results for the proposed deceptive jammer demonstrate its ability to deceive SAR system.
A NEW HYBRID METHOD FOR SYNTHETIC APERTURE RADAR DECEPTIVE JAMMINGjmicro
Based on the synthetic aperture radar (SAR) geometric model, a novel, and fast algorithm of large scene
deceptive jamming against different SAR systems is proposed. First, a template deceptive image is
transformed into the time domain signal using inverse image formation algorithm. Then, the transformed
signal is convolved with enemy’s received SAR signal in order to cope with electronic counter-
countermeasures (ECCM) techniques. Finally, the generated jamming signal is transmitted to enemy’s SAR
system for deceptive purpose. Specifically, we have proposed a hybrid method for SAR jamming, which
uses a digital radio frequency memory (DRFM) system incorporating with SAR raw data simulation
module. The experimental results for the proposed deceptive jammer demonstrate its ability to deceive SAR
system.
Application Of Digital Signal Processing In Radar SignalsRichard Hogue
This document discusses the application of digital signal processing techniques in radar systems. It provides an overview of how digital signal processing is used extensively in modern radar, such as at the transmitter to generate pulses and at the receiver for tasks like clutter removal and beamforming. The main tasks of a radar signal processor are discussed, including decisions about targets, maintaining constant false alarm rates, tracking targets, resolving ambiguities, and countering interference. Detection of signals is also covered, along with fast convolution filter implementations using dual and single FFT pipelines for matched filtering.
IRJET- An Un-Hackable Security based Software Defined Radio using Wireles...IRJET Journal
This document presents a novel method for securing software defined radios (SDRs) from configuration tampering even if the operating system is compromised. It proposes a "Security Monitor" module that would sit below the operating system and above the hardware to monitor radio parameters. The method aims to improve position and transmission power estimation of unknown wireless devices by introducing a new process for estimating the path loss exponent, which is critical for accuracy. Simulation results showed the proposed method achieved better position estimation accuracy than existing approaches. In summary, the document proposes and simulates a security module for SDRs to prevent parameter tampering and improve wireless device localization.
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.
This document discusses adaptive cruise control (ACC) systems which help drivers maintain a safe distance from vehicles ahead. [1] ACC uses sensors like radar or lidar to detect the speed and distance of nearby vehicles and controls braking/acceleration accordingly. [2] More advanced systems allow vehicles to communicate with each other via technologies like Bluetooth to coordinate speeds and braking, forming "platoons" of vehicles with minimized spacing between them for improved traffic flow. [3] While ACC helps relieve driver workload, challenges remain around high costs and ensuring drivers remain attentive with such assistive systems.
This document is a project report submitted by Kaushlendra Singh for the partial fulfillment of an M.Sc. degree in Electronics from the University Institute of Engineering and Technology, CSJMU, Kanpur. The report describes the development of a short range radar system called "RANGEFINDER". It includes certificates of submission, acknowledgements, contents, and the introduction which describes the background and motivation for developing such a system.
A SYSTEM CONCEPT FOR A 3D REAL-TIMEOFDM MIMO RADAR FOR FLYING PLATFORMSNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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
Development of a Multichannel Analyzer for Radioactive Isotopes Detectionijtsrd
This report is a summary of work carried out at Defence Laboratory DRDO Jodhpur during internship as a part of Masters of Computer Application. The report is the brief description of study about the Multichannel Analyzer and crystallization of work. The work helps in developing insight on a state of the robust technology MCA to identify radioisotopes during the nuclear emergency. Study of Multichannel Analyzer is in the way that it would be able to store the spectrum that is to be displayed. Ferventness of MCA spectrum is classified further in two parts respectively which are Energy spectrum that is Calibrated and Pulse Height spectrum which is non calibrated. A new approach to problem solving is in the direction of feasible survey, and in addition to this requires a remarkably low down time by measuring the spectrum pattern on site in nuclear emergency. The solution is the so called near field spectrum pattern measurement method, which requires mathematical parameters and algorithms. Hemant Singh Rajpurohit | Prof. Bhuvana J "Development of a Multichannel Analyzer for Radioactive Isotopes Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49790.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/49790/development-of-a-multichannel-analyzer-for-radioactive-isotopes-detection/hemant-singh-rajpurohit
Spectral estimator effects on accuracy of speed-over-ground radarIJECEIAES
Spectral estimation is a critical signal processing step in speed-over-ground (SoG) radar. It is argued that, for accurate speed estimation, spectral estimation should use low bias and variance estimator. However, there is no evaluation on spectral estimation techniques in terms of estimating mean Doppler frequency to date. In this paper, we evaluate two common spectral estimation techniques, namely periodogram based on Fourier transformation and the autoregressive (AR) based on burg algorithm. These spectral estimators are evaluated in terms of their bias and variance in estimating a mean frequency. For this purpose, the spectral estimators are evaluated with different Doppler signals that varied in mean frequency and signal-to-noise ratio (SNR). Results in this study indicates that the periodogram method performs well in most of the tests while the AR method did not perform as well as these but offered a slight improvement over the periodogram in terms of variance.
This document describes a digital down converter (DDC) implemented on a Xilinx FPGA Virtex-5 device. The DDC allows a received intermediate frequency (IF) signal to be down converted to baseband. It uses a direct digital synthesizer to generate sine and cosine signals to mix with the input samples in a mixer, producing in-phase and quadrature signals. These pass through a low-pass filter to reject images and yield a complex baseband representation of the original signal. Implementing the filter as a multi-stage FIR filter approach optimizes the DDC with respect to hardware complexity, speed and power dissipation compared to a single-stage FIR filter. The DDC is controlled by commands received over
This document discusses cyclostationary feature detection for spectrum sensing in cognitive radio using various modulation schemes. It presents the block diagrams for cyclostationary feature detection without and with modulation. It simulates the detection using BPSK, QPSK, and 8-PSK modulation and analyzes the output cyclic spectral correlation function. The main results are that BPSK produces one primary and one secondary peak, QPSK produces one primary and two secondary peaks, and 8-PSK produces one primary and four secondary peaks in the output, allowing identification of the modulation scheme used.
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...IRJET Journal
This document discusses and compares two spectrum sensing techniques for cognitive radio networks: energy detection and matched filter detection. It analyzes the performance of these techniques based on probability of detection and probability of false alarm under different signal-to-noise ratio levels and fading channel models (AWGN, flat fading, Rayleigh fading). The key findings are that matched filter detection has better performance than energy detection, but requires prior knowledge of the primary signal. Energy detection has lower complexity but performs poorly in low SNR scenarios. Overall, matched filter detection results in lower probability of false alarms compared to energy detection.
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...IRJET Journal
This document discusses and compares two spectrum sensing techniques for cognitive radio networks: energy detection and matched filter detection. It analyzes the performance of these techniques based on probability of detection and probability of false alarm under different signal-to-noise ratio levels and fading channel models (AWGN, flat fading, Rayleigh fading). The key findings are that matched filter detection has better performance than energy detection, but requires prior knowledge of the primary signal. Energy detection has lower complexity but performs poorly in low SNR scenarios. Overall, matched filter detection results in lower probability of false alarms compared to energy detection.
Multi-Target Classification Using Acoustic Signatures in Wireless Sensor Netw...CSCJournals
This document surveys techniques for classifying vehicles based on acoustic signals detected by wireless sensor networks. It discusses three main areas: feature extraction, classification techniques, and information fusion. For feature extraction, it describes techniques in the time, frequency and time-frequency domains like FFT, wavelet transforms, MFCC. It evaluates classifiers like ANN, SVM, HMM using features from spectrum analysis and wavelet packet transform. Finally, it discusses information fusion techniques like majority voting, Bayesian methods to improve classification performance.
Similar to Simulation of Multiple Target Detection with Frequency Modulated Continuous Wave Radar (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.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
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%.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)