This paper presents the architecture of a Convolution Neural Network(CNN)accelerator based on a newprocessing element(PE)array called a diagonal cyclic array(DCA).As demonstrated,it can significantly reduce the burden...
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This paper presents the architecture of a Convolution Neural Network(CNN)accelerator based on a newprocessing element(PE)array called a diagonal cyclic array(DCA).As demonstrated,it can significantly reduce the burden of repeated memory accesses for feature data and weight parameters of the CNN models,which maximizes the data reuse rate and improve the computation ***,an integrated computation architecture has been implemented for the activation function,max-pooling,and activation function after convolution calculation,reducing the hardware *** evaluate the effectiveness of the proposed architecture,a CNN accelerator has been implemented for You Only Look Once version 2(YOLOv2)-Tiny consisting of 9 ***,the methodology to optimize the local buffer size with little sacrifice of inference speed is presented in this *** implemented the proposed CNN accelerator using a Xilinx Zynq ZCU102 Ultrascale+Field Programmable Gate Array(FPGA)and ISE Design *** FPGA implementation uses 34,336 Look Up Tables(LUTs),576 Digital Signal Processing(DSP)blocks,and an on-chip memory of only 58 KB,and it could achieve accuracies of 57.92% and 56.42% mean Average Precession@0.5 thresholds for intersection over union(mAP@0.5)using quantized 16-bit and 8-bit full integer data manipulation with only 0.68% as a loss for 8-bit version and computation time of 137.9 and 69 ms for each input image respectively using a clock speed of 200 *** speeds are expected to be doubled five times using a clock speed of 1GHz if implemented in a silicon System on Chip(SoC)using a sub-micron process.
This article introduces a novel Multi-agent path planning scheme based on Conflict Based Search (CBS) for heterogeneous holonomic and non-holonomic agents, designated as Heterogeneous CBS (HCBS). The proposed methodol...
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The Orca Predation Algorithm (OPA) is a meta-heuristic algorithm that mimics the predatory behavior of killer whales. However, its effectiveness is limited by its lack of population diversity and poor convergence accu...
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Considering the ever-increasing human need for energy resources and on the other hand, the reduction of fossil fuel resources, the use of renewable energy has become one of the attractive topics of researchers. One of...
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Reconfigurable Intelligent Surface (RIS) system channel estimation involves many channel parameters and is costly. However, RIS is often used in millimeter-wave (mmWave) frequencies where sparse channel estimation can...
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This paper introduces a visual observer-based state-feedback control tailored for autonomous motion on SE(3)to address challenges posed by modeling uncertainties and measurement *** proposed approach unfolds in two fu...
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This paper introduces a visual observer-based state-feedback control tailored for autonomous motion on SE(3)to address challenges posed by modeling uncertainties and measurement *** proposed approach unfolds in two fundamental *** the initial stage,the visual observer,based on modeling information,visual sensors,and pre-deployed landmarks,along with the state-feedback controller,are developed independently,underpinning their individual semi-global practical asymptotic(SPA)*** modular approach ensures a robust foundation for the subsequent *** latter stage applies the well-established Small Gain Principle to regulate observer and controller parameters to guarantee the SPA stability of the closed-loop system with the visual-observer based state feedback *** effectiveness of the proposed method is validated through simulation and experiments.
The ultra-dense network (UDN) concept with multi-connectivity (MC) has emerged as a promising scenario for millimeter-wave (mmWave) communications due to its synergistic effect. However, mmWave UDNs with MC face chall...
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A novel e-Gear selector single-electrode-based triboelectric nanogenerator (TENG) was successfully designed, fabricated, and tested on flexible substrates. The proposed device consists of four TENG sensors representin...
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The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and enabling a range of...
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