This paper addresses the issue of nonfragile state estimation for memristive recurrent neural networks with proportional delay and sensor saturations. In practical engineering, numerous unnecessary signals are transmi...
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This paper addresses the issue of nonfragile state estimation for memristive recurrent neural networks with proportional delay and sensor saturations. In practical engineering, numerous unnecessary signals are transmitted to the estimator through the networks, which increases the burden of communication bandwidth. A dynamic event-triggered mechanism,instead of a static event-triggered mechanism, is employed to select useful data. By constructing a meaningful Lyapunov–Krasovskii functional, a delay-dependent criterion is derived in terms of linear matrix inequalities for ensuring the global asymptotic stability of the augmented system. In the end, two numerical simulations are employed to illustrate the feasibility and validity of the proposed theoretical results.
In signal processing and communication systems,digital filters are widely *** some circumstances,the reliability of those systems is crucial,necessitating the use of fault tolerant filter *** strategies have been pres...
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In signal processing and communication systems,digital filters are widely *** some circumstances,the reliability of those systems is crucial,necessitating the use of fault tolerant filter *** strategies have been presented throughout the years to achieve fault tolerance by utilising the structure and properties of the *** technology advances,more complicated systems with several filters become *** of the filters in those complicated systems frequently function in parallel,for example,by applying the same filter to various input ***,a simple strategy for achieving fault tolerance that takes advantage of the availability of parallel filters was *** fault-tolerant ways that take advantage of the filter’s structure and properties have been proposed throughout the *** primary idea is to use structured authentication scan chains to study the internal states of finite impulse response(FIR)components in order to detect and recover the exact state of faulty modules through the state of non-faulty ***,a simple solution of Double modular redundancy(DMR)based fault tolerance was developed that takes advantage of the availability of parallel filters for image *** approach is expanded in this short to display how parallel filters can be protected using error correction codes(ECCs)in which each filter is comparable to a bit in a standard ECC.“Advanced error recovery for parallel systems,”the suggested technique,can find and eliminate hidden defects in FIR modules,and also restore the system from multiple failures impacting two FIR *** the implementation,Xilinx ISE 14.7 was found to have given significant error reduction capability in the fault calculations and reduction in the area which reduces the cost of *** were introduced in all the outputs of the functional filters and found that the fault in every output is corrected.
作者：
Gokulavani, D.Mohana, J.Simats
Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India
This study describes the implementation of Hybrid Convolutional Neural Network techniques for the segmentation of human pupils as compared with Random Forest. Recognizing and separating the pupil area in ocular images...
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With a long history of cultivation spanning several decades, potatoes are one of the mainstay crops in agriculture. Despite its continued appeal, the spread of illnesses poses serious challenges to potato production, ...
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This research proposes a hybrid deep learning model combining Long Short-Term Memory (LSTM) networks and Transformers to enhance decision-making in international trading. The model leverages advanced techniques such a...
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This paper develops a solution to help the task force using a face recognition based Unmanned Aerial Vehicle (UAV) to identify the criminals, missing people, civilians and for surveillance. A facial recognition system...
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This research paper presents a novel approach to improving leaf disease detection performance by integrating Convolutional Neural Networks (CNNs) and optimization techniques utilizing the Intel OneAPI toolkit. The stu...
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Hardware Trojan (HT) has been a rapidly developing area of interest in the hardware security world. They have impacted the Integrated Chips (IC) industry and increased the standards of testing and detection of malicio...
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A two-port disc-shaped multiple-input-multiple-output (MIMO) antenna is investigated for ultra-wideband (UWB) systems. The inter-element isolation is improved by inserting an electromagnetic band-gap (EBG) structure b...
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Destructive wildfires are becoming an annual event,similar to climate change,resulting in catastrophes that wreak havoc on both humans and the *** result,however,is disastrous,causing irreversible damage to the *** loc...
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Destructive wildfires are becoming an annual event,similar to climate change,resulting in catastrophes that wreak havoc on both humans and the *** result,however,is disastrous,causing irreversible damage to the *** location of the incident and the hotspot can sometimes have an impact on earlyfire detection *** the advancement of intelligent sen-sor-based control technologies,the multi-sensor data fusion technique integrates data from multiple sensor *** primary objective to avoid wildfire is to identify the exact location of wildfire occurrence,allowingfire units to respond as soon as *** to predict the occurrence offire in forests,a fast and effective intelligent control system is *** proposed algorithm with decision tree classification determines whetherfire detection parameters are in the acceptable range and further utilizes a fuzzy-based optimization to optimize the complex *** experimental results of the proposed model have a detection rate of ***,providing real-time monitoring of certain environ-mental variables for continuous situational awareness and instant responsiveness.
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