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.
Real-time small object detection in aerial images is a challenging task in computer vision because of the complex environmental conditions and fewer pixels occupied by the objects. Along with this getting real-time in...
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Even today the Textile Industries are using manpower to detect and classify the fabric defect, the process of depending on human inspectors for fabric defect detection can be considered as not an optimized way since i...
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Language barriers frequently stand in the way of successful communication in a society where languages are widely spoken. Moreover, the limited availability of educational resources on Indian history and culture hinde...
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The stock market has always been evolutionary. It has been an area of interest for researchers to forecasting the stock prices too guide investment decisions and avoiding financial risk since many years. This paper hi...
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Software code smells serve as indicators of potential flaws in code design. It signifies that the code has not been created while following the design principles. Code smells do not mean the software system is faulty,...
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Deep learning has a variety of uses and issues it can solve in the real world, but it also has some limitations. The growing use of AI-Morped Videos is one of the most recent and complicated issues. "AI Morphed V...
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In the present day and age of technology and digitalization our proposed platform revolutionizes the agricultural market concept by providing a direct connection between the farmers and the consumers thus reducing the...
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Water is a significant resource in day-to-day life, and it usually requires technological association for comprehensive management. Smart Water Grids (SWG) typically use cyberphysical systems (CPS) to monitor several ...
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This study focuses on utilizing various machine learning techniques, ranging from supervised models to ensemble boosting methods, to predict the success of crowdfunding campaigns. The project aims to make these models...
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