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Hardware/Software Co-Design for Traffic Sign Inference on Edge Using PYNQ
Traffic sign classification is the real-time safety-critical task in driver assistance systems and self-driving vehicles which is realized via the...
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Towards An FPGA-targeted Hardware/Software Co-design Framework for CNN-based Edge Computing
In recent years, AI-based applications have been used more frequently in many different areas. More and more convolutional neural network models for...
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Hardware–Software Co-design of Deep Neural Architectures: From FPGAs and ASICs to Computing-in-Memories
Deploying deep neural networks (DNNs) on embedded systems is a great challenge because the low-power embedded processor cannot meet the requirement...
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Hardware Software Co-design Approch for ECG Signal Analysis
An essential tool for diagnosing heart diseases is the electrocardiogram (ECG) signal. The accuracy of the diagnosis is impacted by the noise that...
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Hardware–Software Co-design for Ultra-Resource-Constrained Embedded Machine Learning Inference: A Printed Electronics Use Case
In this chapter, we discuss hardware–software co-design approaches that enable machine learning inference on ultra-resource-constrained embedded...
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Design of Traffic Sign Detection Using Hardware and Software Co-design
Traffic sign is important as they provide visual information to drivers. Traffic signal detection is a technique used detects traffic signs put on a...
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ROS End-Effector: A Hardware-Agnostic Software and Control Framework for Robotic End-Effectors
In recent years, several robotic end-effectors have been developed and made available in the market. Nevertheless, their adoption in industrial...
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Hardware–Software Co-optimization Through Design Space Exploration
Deep learning provides a wide range of neural networks (NNs) with varying accuracy and complexity, which can be mapped to various specialized...
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Hardware-software co-design framework of lightweight CLEFIA cipher for IoT image encryption
Internet of things (IoT) connects a huge number of small devices across a network. End-to-end security is becoming highly crucial as IoT deploys...
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CAD for Hardware/Software Security Verification
Security validation and verification have become challenging due to the complexity of the modern system-on-chip (SoC) design. Existing verification...
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HW-SW Co-design
Traditionally, system designHW-SW Co-design used to be done by hardware group and software group independently. The functional specifications used to...
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Embedded Systems – A Hardware-Software Co-Design Approach Unleash the Power of Arduino!
This textbook introduces the concept of embedded systems with exercises using Arduino Uno. It is intended for advanced undergraduate and graduate...
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A hardware/software partitioning method based on graph convolution network
Hardware/software (HW/SW) partitioning is the crucial step in HW/SW co-design, which can significantly reduce the time-to-market and improves the...
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Multimodality in Virtual Co-urban Design
A multimodal co-design in virtual urban design refers to a human–computer interaction system composed of the comprehensive usage of various input and...
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Software and Hardware Cooperative Implementation of the Rafflesia Optimization Algorithm
With the development of edge technology in the fields of transportation, wireless sensor networks, and the internet of things, more and more...
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HW/SW Co-Exploration and Co-Design
Now, SoC vendors face a significant challenge to keep the development time as short as possible as in order to win the competition, they need to...
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Hardware/Software Co-design for XML-Document Processing
Algorithms and tools for XML-documents processing are reviewed. The document analyzer algorithms, which are implemented in the stack state machine,...
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Hardware and Software Optimizations for Capsule Networks
Among advanced Deep Neural Network models, Capsule Networks (CapsNets) have shown high learning and generalization capabilities for advanced tasks....
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Exploiting Pixel Redundancy and Approximate Computing for Efficient Hardware–Software Co-design of CNN on IoT Edge Devices
Edge computing is an emerging paradigm in which speed is enhanced by deploying software programs on embedded systems in the vicinity of data...
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Algorithm-System Co-design for Efficient and Hardware-Aware Embedded Machine Learning
We introduce efficient algorithm and system co-design for embedded machine learning to reduce the memory and computation cost. The software stack...