Quaternions are four-dimensional hyper-complex numbers discovered by Sir William Hamilton in the 19th century. Compared to Euler angles, quaternions allow combining rotations in three-dimensional space and help overco...
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Industry 5.0 requires security measures because of the threat of cyber attacks and data leaks from outside due to the communication of a variety of data. As a cryptographic technique for security measures, LTLBC, a lo...
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ISBN:
(数字)9798331533816
ISBN:
(纸本)9798331533823
Industry 5.0 requires security measures because of the threat of cyber attacks and data leaks from outside due to the communication of a variety of data. As a cryptographic technique for security measures, LTLBC, a low-latency lightweight cipher that can be used in industrial equipment at high speed, is attracting attention. On the other hand, the security of cryptographic circuits requires the tamper resistance against sidechannel analysis. So far, tamper resistance evaluation of LTLBC is insufficient. therefore, this study proposes an evaluation method to verify the security of LTLBC against side-channel analysis. Experiments using a fieldprogrammable gate array show that the proposed method can be used to evaluate the tamper resistance of LTLBC against side-channel analysis using 1,400 waveforms.
As digital platforms increasingly manage sensitive medical information, securing the transmission of medical images is essential to maintain confidentiality and data integrity. this project introduces an efficient and...
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ISBN:
(数字)9798331523923
ISBN:
(纸本)9798331523930
As digital platforms increasingly manage sensitive medical information, securing the transmission of medical images is essential to maintain confidentiality and data integrity. this project introduces an efficient and secure cryptographic framework specifically designed for medical image encryption using Reversible logic Cryptography Design (RLCD). the approach incorporates Linear Feedback Shift Registers (LFSR) combined with XOR gates, enabling low-power and high-speed encryption and decryption to protect patient data without sacrificing performance. By integrating reversible logic gates, this system effectively reduces energy dissipation and prevents information loss, making it well-suited for applications where data accuracy is critical. Implemented in Verilog HDL and deployed on a fieldprogrammable Gate Array (FPGA), this design provides a robust solution to address the unique security demands in medical imaging.
Modern field-programmable Gate Arrays (FPGAs) are highly versatile, with reconfigurable logic functionality that allows designers to create custom designs. Unlike traditional fixed-function integrated circuits, FPGAs ...
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ISBN:
(数字)9798331522445
ISBN:
(纸本)9798331522452
Modern field-programmable Gate Arrays (FPGAs) are highly versatile, with reconfigurable logic functionality that allows designers to create custom designs. Unlike traditional fixed-function integrated circuits, FPGAs are reconfigured multiple times to perform different tasks, making them ideal for various applications. An Embedded FPGA (eFPGA) takes the concept of an FPGA and integrates it as an IP core within a larger System-on-Chip (SoC) or Application-Specific Integrated Circuit (ASIC). the proposed work employs Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to evolve efficient and high-performing eFPGA architectures with reduced critical path delay and power defined by a sufficient number of Configurable logic Blocks (CLBs), custom Digital Signal Processors (DSPs) and Block RAM (BRAMs) for targetting workload under consideration. As a result, this work presents a well-balanced eFPGA architecture layout obtained for four workloads equipped with different numbers of heterogeneous and configurable logic blocks. the results showed a significant improvement of 44.62% in hardware parameters.
Obstacle detection and avoidance have historically been manual processes. Withthe advent of neural networks, many processing tasks have been made autonomous with more efficient by obtaining a wide variety of data fro...
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ISBN:
(数字)9798331522667
ISBN:
(纸本)9798331522674
Obstacle detection and avoidance have historically been manual processes. Withthe advent of neural networks, many processing tasks have been made autonomous with more efficient by obtaining a wide variety of data from their surroundings to perform the next move. Training these networks is computationally intensive, which became the driving force behind transfer learning. fieldprogrammable Gate Arrays (FPGAs) which revolutionized reconfigurable logic is the next choice considered the opportunity to interleave the processing tasks between a general-purpose processor and dedicated logic blocks. Extending this concept to collision detection and using hardware acceleration to speed up the decision process can be highly beneficial, especially in such time critical applications. In this article, the idea above has been reviewed, and a method to implement the system has been proposed.
the millimeter wave (mmW) frequency spectrum has been explored recently for large bandwidth communication. At these frequencies, narrow directional beams are required for communication since the signal attenuation is ...
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ISBN:
(数字)9798331531195
ISBN:
(纸本)9798331531201
the millimeter wave (mmW) frequency spectrum has been explored recently for large bandwidth communication. At these frequencies, narrow directional beams are required for communication since the signal attenuation is high due to atmospheric absorption. this work presents an AMD RFSoC and Sivers Semiconductors analog front-end based hardware testbed capable of directional communication via analog beamforming at mmW. the proposed testbed comprises orthogonal frequency division multiplexing (OFDM) based baseband physical layer and digital front-end on an ARM processor and fieldprogrammable gate array (FPGA), respectively, integrated with high-speed data converters of the RFSoC. the RFSoC output at sub-6GHz is integrated with a mmW multi-antenna analog-front end for over-the-air communication at 29.8 GHz. We demonstrate end-to-end communication over the air and present bit error rate (BER) analysis in the presence of radio frequency impairments and beam misalignments in real radio channels.
In many FPGA-based systems, only sequential system control structures modeled by finite state machines are actually required. In order to deal with complexity, design time, and verification issues, which are weaknesse...
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ISBN:
(纸本)9783031783760;9783031783777
In many FPGA-based systems, only sequential system control structures modeled by finite state machines are actually required. In order to deal with complexity, design time, and verification issues, which are weaknesses of traditional hardware description languages, it may be preferred to describe the control flow behaviorally in software. However, it is reported that high-level synthesis for FPGA often generates inferior results in terms of resources and performance when translating software-style control flow description to hardware. In this paper, the NanoSoftController is proposed as an open-source soft processor, which is optimized for minimal and efficient logic resource usage on FPGA platforms. It is targeted at processing sequential finite state machine functionality in software, featuring a compact ISA for control flow in embedded systems and a tiny accumulator-based data path. Furthermore, an efficient mapping of memory to small distributed LUT RAM instances enables its use as a system state machine controller in even very resource-constrained FPGA designs, requiring only 104 slice LUTs and 76 slice registers in total. However, despite all optimizations, in a case study with high-level synthesis results of three reference software-style control applications, i.e., electronic door lock, smart glucose sensor, and sequential sensor network node, a better resource efficiency could not be shown. We evaluate the negative results and provide lessons we learned from them.
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