Cheon-Kim-Kim-Song (CKKS) is a Fully Homomorphic Encryption (FHE) scheme that enables computations directly on encrypted real or complex numbers, ensuring the privacy of sensitive information even in untrusted environ...
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ISBN:
(纸本)9798331540340;9798331540333
Cheon-Kim-Kim-Song (CKKS) is a Fully Homomorphic Encryption (FHE) scheme that enables computations directly on encrypted real or complex numbers, ensuring the privacy of sensitive information even in untrusted environments. However, the processing of encrypted data incurs significant computational overhead compared to plaintext computations, making CKKS impractical for wider adoption. field programmable gate arrays (FPGAs) are a promising platform to accelerate CKKS because of parallelism, scalability, flexibility, and widespread availability across cloud providers. This paper systematically surveys the key techniques and current advancements in FPGA-based accelerators for CKKS and discusses future research trends to facilitate real-world homomorphic applications.
Edge detection is one of the core technologies in digital image processing and computer vision, and has been widely applied in fields such as image recognition and remote sensing image processing. This article propose...
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ISBN:
(纸本)9798331530372;9798331530365
Edge detection is one of the core technologies in digital image processing and computer vision, and has been widely applied in fields such as image recognition and remote sensing image processing. This article proposes an optimization scheme for edge detection algorithm, which collects image information through binocular cameras and caches it in memory. After grayscale transformation preprocessing, the classic SOBEL algorithm and optimized SOBEL algorithm are used to extract edge information, obtain binary images, and display them on the LCD screen in real time. Through practical testing, the optimized algorithm can effectively solve the problem of detecting edges that are too coarse in the original algorithm, and improve the accuracy of detection and positioning. This system can be widely applied in fields such as medical imaging and autonomous driving.
This paper provides design framework of digital controller design for power conditioning unit comprising rectifier and boost converter for piezoelectric energy harvesting system. Complete design of digitally controlle...
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Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR). During the DIAR process, different types of noise s...
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Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR). During the DIAR process, different types of noise such as uneven illumination, clutter, margin, skew, bleed-through and show-through are removed. However, the removal of show-through noise is a challenging task because it affects mostly the document image quality and readability. In this work, we have designed and developed a modelbased point processing operation, which is implemented in the Altera Cyclone & REG;V DE1-SoC for removing the show-through noise and enhancing the degraded document image quality. The Altera Cyclone & REG;V DE1-SoC board was chosen for this study due to its performance, size compatibility, and real-time implementation, which are better than the programmable DSP chips. The Pixel/Point processing operations were implemented using the DSP builder tool, which boost-up better execution of computational operations involved in complex algorithms. To implement the proposed algorithm, we have developed the board library file for Altera Cyclone & REG;V DE1-SoC series 5CSEMA5F31C6 board in DSP builder and tested on various document images. The calculated quality measures of the proposed algorithm tested on various document images in the FPGA board exhibited better results in terms of document image readability, quality, processing speed, and memory size. Further, the performance of the proposed algorithms was studied in different scanned document images dataset as well as with the other traditional techniques. The results of this study witnessed that the proposed model-based point processing methods performs very well than the other methods. (C) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
This research endeavors a novel configuration for a single-phase Cascaded H-Bridge Multilevel Inverter (CHBMLI) using a stacked T-shape voltage generation module with a view to attaining reduced current conducting swi...
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This research endeavors a novel configuration for a single-phase Cascaded H-Bridge Multilevel Inverter (CHBMLI) using a stacked T-shape voltage generation module with a view to attaining reduced current conducting switches in the path of load. It involves the use of the collection of a string of voltage generation modules and a two-leg inverter to arrive at a novel Multilevel Inverter (MLI) topology. The MLI permits showcasing the facility of the structural design in an attempt to enlarge the scope of the CHBMLI. It follows a Multicarrier Pulse Width Modulation (MCPWM) approach for synthesizing the Pulse Width Modulation (PWM) output voltage. The prototype augurs the role of a digital PWM controller using field programmable gate array (FPGA) and the experimental outcomes validate the simulated performance in a wide range of modulation indices. The approach claims a new option of a particular topology for the MLI to suit specific applications in the real world.
The missile's overall accuracy and autonomy are potentially affected by its actuation system and controller design. The current paper presents an integrated missile's actuation system design process in the pre...
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The missile's overall accuracy and autonomy are potentially affected by its actuation system and controller design. The current paper presents an integrated missile's actuation system design process in the presence of different mechanical and electrical constraints, a reliable electric actuation system (EAS) and its related control system are developed based on missile mechanical and electrical requirements. A real-time motion simulation is performed using solid work software to guarantee compatibility with the actual size, weight, and load constraints. The actuation system model is performed using a system identification technique based on real-time input-output data extraction utilising a predesigned test and control setup. A real-time floating-point PID controller based on the genetic algorithm optimisation approach is designed using MATLAB, simulated using hardware simulation utilising Modalism software, and then implemented by an embedded FPGA-based board. The novelty of this paper is the design, control, and implementation of a real-time embedded aerodynamic missile actuation system based on aerodynamic fin loading exerted in missile control surfaces. Hardware in the loop simulation is carried out with a simulated missile trajectory which presents the proposed actuation system performance, robustness, and reliability achieved through highly professional design and implementation steps and results.
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitations of current quantum devices. Soft...
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ISBN:
(纸本)9798350377217;9798350377200
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitations of current quantum devices. Software simulators are time and memory-consuming, making hardware emulators an attractive alternative. This article introduces AMARETTO (quAntuM ARchitecture EmulaTion TechnOlogy), designed for quantum computing emulation on low-tier field-programmablegatearrays (FPGAs), supporting Clifford+T and rotational gate sets. It simplifies and accelerates the verification of quantum algorithms using a Reduced-Instruction-Set-Computer (RISC)-like structure and efficient handling of sparse quantum gates. A dedicated compiler translates OpenQASM 2.0 into RISC-like instructions. AMARETTO is validated against the Qiskit simulators. Our results show successful emulation of sixteen qubits on a AMD Kria KV260 SoM. This approach rivals other works in emulated qubit capacity on a smaller, more affordable FPGA.
Cardiac disease frequently manifests as circulatory conditions such as peripheral arterial disease (PAD). The sonographic of the arteries in the lower limbs is used in this work to propose a gentle technique for exami...
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ISBN:
(纸本)9798331540661;9798331540678
Cardiac disease frequently manifests as circulatory conditions such as peripheral arterial disease (PAD). The sonographic of the arteries in the lower limbs is used in this work to propose a gentle technique for examining PAD. The recommended method includes Otsu's thresholding to binaries spectral pictures, an extraction of important characteristics, and automatic identification made possible by a artificial intelligence model called neural network based predictor. The complete system is incorporated in a wrist-worn ultrasound (US) technology FPGA. Without compromising performance, the exponential domain-based approximation approach minimizes power usage and complicated design. In the analysis of 125 spectrum diagrams, the overall Success Rate in Distinguishing Binary Classes is determined to be 91.4%. The backwards-compatible design may be helpful for Near-bedside apps and constrained by resources platforms to interact with the US system in order to provide a cost-effective solution.
In this paper, a novel wireless functional electrical stimulation (FES) device based on an ergodic cellular automaton (CA) central pattern generator (CPG) is proposed, where the CPG consists of a network of ergodic CA...
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ISBN:
(纸本)9798350330991;9798350331004
In this paper, a novel wireless functional electrical stimulation (FES) device based on an ergodic cellular automaton (CA) central pattern generator (CPG) is proposed, where the CPG consists of a network of ergodic CA oscillators coupled via wireless impulse radio (IR) sequences. It is shown that the proposed CPG can realize various synchronization phenomena by adjusting parameters. In addition, an electric stimulator controlled by a novel pain relaxation filter is proposed. Then the proposed wireless FES device is implemented and human subject experiments reveal that the device can assist periodic motions of arms for walking and squatting. It is also shown that the pain relaxation filter can decrease the pain caused by the electric stimulation. Furthermore, it is shown that the proposed CPG can be implemented by fewer circuit elements and consumes lower power compared to a conventional digital-processor-based CPG. Finally, it is discussed that the results of this paper will contribute to the development of a large-scale, small, and low -power wireless FES device to support a variety of body movements.
In the search for highly parallel, power-efficient, and scalable chips for control applications, neuromorphic architecture has emerged as a promising candidate. Neuromorphic computing promises to address some of the t...
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ISBN:
(纸本)9798350394917;9798350394900
In the search for highly parallel, power-efficient, and scalable chips for control applications, neuromorphic architecture has emerged as a promising candidate. Neuromorphic computing promises to address some of the the von Neumannian computing challenges, and computes using spiking neurons with adjustable synaptic delays that help match the latency of the controller with the system. However, learning in spiking neural networks poses a problem because of the non -differentiability of spikes. Although there are approximations like surrogate gradient decent for supervised learning, learning algorithms customized for spiking neural networks are required. Moreover, in order to design a compact, application -specific controller, the approximate knowledge of the number of neurons needed for a particular task is of importance, because the size of the chip depends on the number of neurons and synapse compartments on the chip. This work combines both of these needs and investigates the control performance on a cartpole with an adaptive controller by varying the number of neurons. The bob mass is varied and friction is added to the cart and the pole. First, the work shows the implementation of the Prescribed Error Sensitivity (PES) learning rule using a single neuron for the supervised learning of some standard functions, within the Neural Engineering Framework. Next, the work investigates the adaptive control of a cartpole against varying parameters, by progressively reducing the neuron number starting from 21) neurons, to arrive at a minimum number of spiking neurons, when trained with the PES rule. This knowledge is then used to run the adaptive controller on an FPGA board.
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