In this paper, a 2-by-1 MIMO reconfigurable antenna using Quarter Mode Substrate Integrated Waveguide (QMSIW) is introduced for wireless communication application. By combining three antenna techniques, the proposed d...
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Vehicular networks are a crucial component aimed to revolutionize the transportation system through the integration of several services and technologies including autonomous driving, dynamic routing, real-time traffic...
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The paper is devoted to developing scientific principles, methods, means, and information technology of model-oriented verification and evidence-based assessment using functional safety and cybersecurity cases for pro...
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A frequency reconfigurable antenna is designed and presented for 5G applications. The proposed antenna is designed by using two T shaped patches positioned inversely to each other and connected by a PIN diode. Here th...
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reconfigurable Intelligent Surface (RIS) technology has gained immense popularity as an innovative solution for enhancing wireless communication systems. The RIS consists of multiple reflecting elements which are cont...
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In recent years, hardware accelerators have shown significant advantages in the field of deep neural networks. The architecture used in such systems has high memory utilization. To make the most of memory technology i...
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Object detection and tracking is one of the most important vision algorithms in intelligent environments, applications based on it are the driving force behind the growing deployment of edge devices. As fpgas can impl...
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reconfigurable Intelligent Surfaces (RIS) makes the channel more controllable by manipulating the propagation environment, so that wireless medium becomes smart when compared to conventional wireless communication sys...
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The proceedings contain 18 papers. The topics discussed include: performance evaluation on GPU-FPGA accelerated computing considering interconnections between accelerators;verifying hardware optimizations for efficien...
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(纸本)9781450396608
The proceedings contain 18 papers. The topics discussed include: performance evaluation on GPU-FPGA accelerated computing considering interconnections between accelerators;verifying hardware optimizations for efficient acceleration;accelerating decision tree ensemble with guided branch approximation;a hardware/software co-design approach to prototype 6G mobile applications inside the GNU radio SDR ecosystem using FPGA hardware accelerators;meta-programming design-flow patterns for automating reusable optimizations;a single-source C++20 HLS flow for function evaluation on FPGA and beyond;memory and energy efficient memory model and instruction set architectures for tree data structures;stream computation of 3D approximate convex hulls with an FPGA;and FPGA-dedicated network vs. server network for pipelined computing with multiple fpgas.
Pruning has become an extremely powerful and effective technique to compress and accelerate sophisticated deep neural networks on resource-constrained platforms. Existing pruning and quantization methods aim to reduce...
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