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  • 大面积全纺织压力传感器用于检测人类移动和物理信号

    纺织品是柔性压力传感器设计的理想载体,尤其适用于医疗和人类活动检测目的的可穿戴电子产品,因为纺织品具有吸湿性、柔软性、透气性和对人体皮肤的舒适性

    2018-12-25
    6
  • The Evolution of Electronic Skin (E-Skin)

    人类的皮肤是伟大的器官,它由一个集成化的、可伸缩的传感器网络组成,将触觉和热刺激信息传递给大脑,使我们能够在我们的环境中安全有效地行动。人类皮肤激发了人们对大面积电子器件网络的研究,这主要是受创造自主智能机器人和仿生假肢等应用前景的推动。由柔性,可伸缩的,鲁棒性强的并且可大面积实现和多功能合成的器件组成的电子网络的发展,证实了研究E-skin的可行性。电子皮肤在空间分辨率和热灵敏度方面已经能够提供比人的皮肤更好的性能。通过添加额外的感知功能(chemical and biological sensing)和更先进的预期功能(biodegradability and self-powering, 生物降解能力和能源的自我供给), E-skin还有更具前景的未来。该领域的持续快速进展有望在不久的将来开发出完全集成的e-skin。

    2018-11-14
    6
  • Flexible Electronics: The Next Ubiquitous Platform

    012的一篇柔性电子的综述,主要讲述柔性电子领域的薄膜材料和技术,以及思考未来在医疗,汽车行业,人机界面,移动设备以及其他场景下的可能应用

    2018-11-11
    5
  • Wearable Electronics and Smart Textiles: A Critical Review

    柔性电子领域内综述论文,本文着重介绍了近年来在智能纺织品(Smart Textiles)及可穿戴设备领域的研究进展,并且特别注重材料及其制造工艺

    2018-11-11
    10
  • kivy blueprints

    kivy blueprints,利用Python中的kivy库进行跨平台的软件开发

    2018-09-25
    7
  • Learning TensorFlow_ A Guide to Building Deep Learning Systems

    Learning TensorFlow_ A Guide to Building Deep Learning Systems

    2018-09-25
    3
  • Fundamentals of Deep Learning

    Fundamentals of Deep Learning_ Designing Next-Generation Machine Intelligence Algorithms

    2018-09-24
    3
  • Building Machine Learning Systems with Python

    利用python语言构建自己的机器学习系统

    2017-02-19
    0
  • Data Structures and Algorithms in Python

    Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.

    2016-12-17
    10
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