Subjects -> MANUFACTURING AND TECHNOLOGY (Total: 363 journals)
    - CERAMICS, GLASS AND POTTERY (31 journals)
    - MACHINERY (34 journals)
    - PACKAGING (19 journals)
    - PLASTICS (42 journals)
    - RUBBER (4 journals)

MACHINERY (34 journals)

Showing 1 - 27 of 27 Journals sorted alphabetically
Acta Mechanica Solida Sinica     Hybrid Journal   (Followers: 8)
Advanced Energy Materials     Hybrid Journal   (Followers: 34)
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
CORROSION     Full-text available via subscription   (Followers: 20)
Electric Power Components and Systems     Hybrid Journal   (Followers: 7)
Foundations and Trends® in Electronic Design Automation     Full-text available via subscription   (Followers: 1)
International Journal of Machine Tools and Manufacture     Hybrid Journal   (Followers: 9)
International Journal of Machining and Machinability of Materials     Hybrid Journal   (Followers: 5)
International Journal of Manufacturing Technology and Management     Hybrid Journal   (Followers: 9)
International Journal of Precision Technology     Hybrid Journal   (Followers: 1)
International Journal of Rapid Manufacturing     Hybrid Journal   (Followers: 3)
International Journal of Rotating Machinery     Open Access   (Followers: 2)
Journal of Machinery Manufacture and Reliability     Hybrid Journal   (Followers: 2)
Journal of Manufacturing and Materials Processing     Open Access  
Journal of Mechanics     Hybrid Journal   (Followers: 9)
Journal of Strain Analysis for Engineering Design     Hybrid Journal   (Followers: 5)
Journal of Terramechanics     Hybrid Journal   (Followers: 5)
Machine Design     Partially Free   (Followers: 203)
Machine Learning and Knowledge Extraction     Open Access   (Followers: 17)
Machines     Open Access   (Followers: 4)
Materials     Open Access   (Followers: 4)
Mechanics Based Design of Structures and Machines: An International Journal     Hybrid Journal   (Followers: 7)
Micromachines     Open Access   (Followers: 2)
Pump Industry Analyst     Full-text available via subscription   (Followers: 1)
Russian Engineering Research     Hybrid Journal  
Sensor Review     Hybrid Journal   (Followers: 2)
Surface Engineering and Applied Electrochemistry     Hybrid Journal   (Followers: 7)
Similar Journals
Journal Cover
Foundations and Trends® in Electronic Design Automation
Journal Prestige (SJR): 0.137
Citation Impact (citeScore): 1
Number of Followers: 1  
  Full-text available via subscription Subscription journal
ISSN (Print) 1551-3939 - ISSN (Online) 1551-3947
Published by Now Publishers Inc Homepage  [28 journals]
  • From CNN to DNN Hardware Accelerators: A Survey on Design, Exploration,
           Simulation, and Frameworks

    • Free pre-print version: Loading...

      Abstract: Over the past decade, a massive proliferation of machine learning algorithms has emerged, from applications for surveillance to self-driving cars. The turning point occurred with the arrival of Convolutional Neural Network (CNN) models and the incredible accuracy brought by Deep Neural Networks (DNNs) at the cost of high computational complexity. In this growing environment, graphic processing units (GPUs) have become the de facto reference platform for the training and inference phases of CNNs and DNNs due to their high processing parallelism and memory bandwidth. However, GPUs are power-hungry architectures. To enable the deployment of CNN and DNN applications on energy-constrained devices (e.g., IoT devices), industry and academic research have moved towards hardware accelerators. Following the evolution of neural networks (from CNNs to DNNs), this survey sheds light on the impact of this architectural shift and discusses hardware accelerator trends in terms of design, exploration, simulation, and frameworks developed in both academia and industry.Suggested CitationLeonardo Rezende Juracy, Rafael Garibotti and Fernando Gehm Moraes (2023), "From CNN to DNN Hardware Accelerators: A Survey on Design, Exploration, Simulation, and Frameworks", Foundations and Trends® in Electronic Design Automation: Vol. 13: No. 4, pp 270-344.
      PubDate: Mon, 06 Mar 2023 00:00:00 +010
  • Self-Powered Wearable IoT Devices for Health and Activity Monitoring

    • Free pre-print version: Loading...

      Abstract: Wearable devices have the potential to transform multiple facets of human life, including healthcare, activity monitoring, and interaction with computers. However, a number of technical and adaptation challenges hinder the widespread and daily usage of wearable devices. Recent research efforts have focused on identifying these challenges and solving them such that the potential of wearable devices can be realized.This monograph starts with a survey of the recent literature on the challenges faced by wearable devices. Then, it discusses potential solutions to each of the challenges. We start with the primary application areas that provide value to the users of wearable devices. We then present recent work on the design of physically flexible and bendable devices that aim to improve user comfort. We also discuss state-of-the-art energy harvesting and security solutions that can improve user compliance of wearable devices. Overall, this monograph aims to serve as a comprehensive resource for challenges and solutions towards self-powered wearable devices for health and activity monitoring.Suggested CitationGanapati Bhat, Ujjwal Gupta, Yigit Tuncel, Fatih Karabacak, Sule Ozev and Umit Y. Ogras (2020), "Self-Powered Wearable IoT Devices for Health and Activity Monitoring", Foundations and Trends® in Electronic Design Automation: Vol. 13: No. 3, pp 145-269.
      PubDate: Thu, 19 Nov 2020 00:00:00 +010
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

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