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Second-Level

  • Beginning+C+for+Arduino

    I can remember buying my first electronic calculator. I was teaching a graduate level statistics course and I had to have a calculator with a square root function. Back in the late 1960s, that was a pretty high-end requirement for a calculator. I managed to purchase one at the “educational discount price” of $149.95! Now, I look down at my desk at an ATmega2560 that is half the size for less than a quarter of the cost and think of all the possibilities built into that piece of hardware. I am amazed by what has happened to everything from toasters to car engines. Who-da-thunk-it 40 years ago?

    標簽: Beginning Arduino for

    上傳時間: 2020-06-09

    上傳用戶:shancjb

  • Make an Arduino-Controlled Robot

    Building a robot and enabling it to sense its environment is a wonderful way to take your Arduino knowledge to the next level. In writing this book, I have brought together my love for invention and my experience with electronics, robotics and microcontrollers. I hope you have as much pleasure building and enhancing your robot as I did developing the techniques contained in this book.

    標簽: Arduino-Controlled Robot Make an

    上傳時間: 2020-06-09

    上傳用戶:shancjb

  • A Course in Machine Learning

    Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.

    標簽: Learning Machine Course in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Embedded_Deep_Learning_-_Algorithms

    Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.

    標簽: Embedded_Deep_Learning Algorithms

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Embeddings in Natural Language Processing

    Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.

    標簽: Embeddings Processing Language Natural in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Digital.Image.Processing.

    This edition of Digital Image Processing is a major revision of the book. As in the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008 editions by Gonzalez and Woods, this sixth-generation edition was prepared with students and instructors in mind. The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. To achieve these objectives, we focused again on material that we believe is fundamental and whose scope of application is not limited to the solution of specialized problems. The mathematical complexity of the book remains at a level well within the grasp of college seniors and first-year graduate students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. The book website provides tutorials to support readers needing a review of this background material

    標簽: Processing Digital Image

    上傳時間: 2021-02-20

    上傳用戶:

  • Multisim官方示例Multisim仿真例程基礎電路范例135例合集

    Multisim官方示例Multisim仿真例程基礎電路范例135例合集:Chapter 1 - RLC CircuitsChapter 2 - DiodesChapter 3 - TransistorsChapter 4 - AmplifiersChapter 5 - OpampsChapter 6 - FiltersChapter 7 - Miscellaneous CircuitsFundamental Circuits.pdf004 Parallel DC Circuits.ms10005 Series-Parrallel DC Circuit.ms10006 Current Analysis.ms10007 Millmans Theorem 1.ms10008 Millmans Theorem 2.ms10009 Kirchhoff's Current Law.ms10010 Thevenin's Theorem.ms10011 Superposition Principle.ms10012 Nortons Theorem and Source Conversion.ms10013 AC Voltage Measurement.ms10014 Frequency Response of the Series RL Network.ms10015 RL High and Low Pass Filter.ms10016 Frequency Response of the Series RC Network.ms10017 RC High and Low Pass Filter.ms10019 Center-Tapped Full-Wave Rectifier.ms10020 Bridge Rectifier.ms10021 Capacitor-Input Rectifier Filter.ms10022 Diode Clipper (Limiter).ms10023 Diode Clipper.ms10024 Diode Clamper (DC Restorer).ms10025 Diode Voltage Doubler.ms10026 Zener Diode and Voltage Regulation 1.ms10027 Zener Diode and Voltage Regulation 2.ms10028 Zener Diode and Voltage Regulation 3.ms10105 TTL Inverter.ms10107 TTL Gate.ms10109 OR Gate Circuit.ms10111 Over-Damp Circuit.ms10113 Critical-Damp Circuit.ms10115 Series RLC Circuit 1.ms10117 Clapp Oscillator.ms10119 Differential Amplifier 1.ms10121 Differential Amplifier in Common Mode.ms10123 LC Oscillator with Unity Gain Buffer.ms10125 Notch Filter.ms10127 PNP Differential Pair.ms10129 Crossover Network.ms10131 Second-Order High-Pass Chebyshev Filter.ms10133 Third-Order High-Pass Chebyshev Filter.ms10135 Fifth-Order High-Pass Filter.ms10

    標簽: multisim

    上傳時間: 2021-10-27

    上傳用戶:trh505

  • STM32F7數據手冊.pdf

    This programming manual provides information for application and system-level softwaredevelopers. It gives a full description of the STM32F3 and STM32F4 Series Cortex?-M4processor programming model, instruction set and core peripherals.

    標簽: stm32f7

    上傳時間: 2021-12-02

    上傳用戶:

  • 代碼大全Steve McConnell著 919頁高清文字版

    軟件開發人員必備工具書,,目錄如下Welcome to Software Construction [1]1.1 What Is Software Construction?1.2 Why Is Software Construction Important?1.3 How to Read This Book......7.1 Valid Reasons to Create a Routine7.2 Design at the Routine Level7.3 Good Routine Names7.4 How Long Can a Routine Be?7.5 How to Use Routine Parameters7.6 Special Considerations in the Use of Functions7.7 Macro Routines and Inline RoutinesDefensive Programming [5.6 + new material]8.1 Protecting Your Program From Invalid Inputs8.2 Assertions8.3 Error Handling Techniques8.4 Exceptions8.5 Barricade Your Program to Contain the Damage Caused by Errors8.6 Debugging Aids8.7 Determining How Much Defensive Programming to Leave in Production Code8.8 Being Defensive About Defensive ProgrammingThe Pseudocode Programming Process [4+new material]9.1 Summary of Steps in Building Classes and Routines9.2 Pseudocode for Pros9.3 Constructing Routines Using the PPP9.4 Alternatives to the PPP......

    標簽: 代碼大全 軟件開發

    上傳時間: 2021-12-08

    上傳用戶:20125101110

  • Agilent 34401A Service Guide.pdf

    Agilent 34401A Service Guide.pdfIEC Measurement Category II includes electrical devices connected to mains at an outlet on a branch circuit. Such devices include most small appliances, test equipment, and other devices that plug into a branch outlet or socket. The 34401A may be used to make measurements with the HI and LO inputs connected to mains in such devices, or to the branch outlet itself (up to 300 VAC). However, the 34401A may not be used with its HI and LO inputs connected to mains in permanently installed electrical devices such as the main circuit-breaker panel, sub-panel disconnect boxes, or permanently wired motors. Such devices and circuits are subject to overvoltages that may exceed the protection limits of the 34401A. Note: Voltages above 300 VAC may be measured only in circuits that are isolated from mains. However, transient overvoltages are also present on circuits that are isolated from mains. The Agilent 34401A are designed to safely withstand occasional transient overvoltages up to 2500 Vpk. Do not use this equipment to measure circuits where transient overvoltages could exceed this level. Additional Notices Waste Electrical and Electronic Equipment (WEEE) Directive 2002/96/EC This product complies with the WEEE Directive (2002/96/EC) marking requirement. The affixed product label (see below) indicates that you must not discard this electrical/electronic product in domestic household waste. Product Category: With reference to the equipment types in the WEEE directive Annex 1, this product is classified as a "Monitoring and Control instrumentation" product. Do not dispose in domestic household waste. To return unwanted products, contact your local Agilent office, or see www.agilent.com/environment/product for more information. Agilent 34138A Test Lead Set The Agilent 34401A is compatible with the Agilent 34138A Test Lead Set described below. Test Lead Ratings Test Leads - 1000V, 15A Fine Tip Probe Attachments - 300V, 3A Mini Grabber Attachment - 300V, 3A SMT Grabber Attachments - 300V, 3A Operation The Fine Tip, Mini Grabber, and SMT Grabber attachments plug onto the probe end of the Test Leads. Maintenance If any portion of the Test Lead Set is worn or damaged, do not use. Replace with a new Agilent 3413

    標簽: agilent

    上傳時間: 2022-02-20

    上傳用戶:

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