We are very pleased to introduce the proceedings of the First EAI International Conference on Smart Grid Inspired Future Technologies (SmartGIFT 2016). This was the first SmartGIFT conference, aiming to create a forum for researches, developers, and practitioners from both academia and industry to publish their key results and to disseminate state-of-the-art concepts and techniques in all aspects of smart grids. The 37 scientific participants had many fruitful discussions and exchanges that contributed to the success of the conference. Participants from 12 countries made the conference truly international in scope.
標(biāo)簽： Technologies Inspired Future Smart Grid
上傳時(shí)間： 2020-06-07
上傳用戶(hù)：shancjb
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza- tion techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies. However, the smart grid fi rst depends upon identifying and researching key performance measures, designing and testing appropriate tools, and developing the proper education curriculum to equip current and future personnel with the knowledge and skills for deployment of this highly advanced system.
上傳時(shí)間： 2020-06-07
上傳用戶(hù)：shancjb
In order to enhance the efficiency and reliability of the power grid, diversify energy resources, improve power security, and reduce greenhouse gas emission, many countries have been putting great efforts in designing and constructing their smart grid(SG) infrastructures.Smart gridcommunicationsnetwork(SGCN) is oneof the key enabling technologies of the SG. However, a successful implementation of an efficient and cost-effective SGCN is a challenging task
上傳時(shí)間： 2020-06-07
上傳用戶(hù)：shancjb
Radio frequency identification (RFID) and Wireless sensor networks (WSN) are the two key wireless technologies that have diversified applications in the present and the upcoming systems in this area. RFID is a wireless automated recognition technology which is primarily used to recognize objects or to follow their posi- tion without providing any sign about the physical form of the substance. On the other hand, WSN not only offers information about the state of the substance and environment but also enables multi-hop wireless communications.
標(biāo)簽： Architecture Integrated RFID-WSN
上傳時(shí)間： 2020-06-08
上傳用戶(hù)：shancjb
The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.
標(biāo)簽： Auto-Machine-Learning-Methods-Sys tems-Challenges
上傳時(shí)間： 2020-06-10
上傳用戶(hù)：shancjb
This book is intended to be a general introduction to neural networks for those with a computer architecture, circuits, or systems background. In the introduction (Chapter 1), we define key vo- cabulary, recap the history and evolution of the techniques, and for make the case for additional hardware support in the field.
標(biāo)簽： Deep_Learning_for_Computer_Archit ects
上傳時(shí)間： 2020-06-10
上傳用戶(hù)：shancjb
The goal of this textbook is to support the teaching of digital and statistical signal processing in higher education. Particular attention is paid to the presentation of the fun- damental theory; key topics are outlined in a comprehensible way, and all areas of the subject are discussed in a fashion that aims at simplification without sacrificing accuracy.
標(biāo)簽： Statistical Processing Digital Signal and
上傳時(shí)間： 2020-06-10
上傳用戶(hù)：shancjb
This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.
標(biāo)簽： Foundations Learning Machine 2nd of
上傳時(shí)間： 2020-06-10
上傳用戶(hù)：shancjb
This design uses Common-Emitter Amplifier (Class A) with 2N3904 Bipolar Junction Transistor. Use “Voltage Divider Biasing” to reduce the effects of varying β (= ic / ib) (by holding the Base voltage constant) Base Voltage (Vb) = Vcc * [R2 / (R1 + R2)] Use Coupling Capacitors to separate the AC signals from the DC biasing voltage (which only pass AC signals and block any DC component). Use Bypass Capacitor to maintain the Q-point stability. To determine the value of each component, first set Q-point close to the center position of the load line. (RL is the resistance of the speaker.)
標(biāo)簽： 音頻放大器設(shè)計(jì) 電路圖 英文
上傳時(shí)間： 2020-11-27
上傳用戶(hù)：
STM8單片機(jī)開(kāi)發(fā)板資料STM8S208RB DEMO軟件源碼+例程講解+開(kāi)發(fā)板原理圖+芯片資料:'stm8板原理圖.pdf使用說(shuō)明文件開(kāi)發(fā)板介紹.pdf相關(guān)例程講解相關(guān)芯片資料相關(guān)輔助軟件軟件源碼程序AD(寄存器操作，連續(xù)轉(zhuǎn)換模式)ADC_OLEDBEEP 寄存器操作BEPPCAN For STVDCLKDS18B20EXTII2C_24C02I2C_24C64IWDG獨(dú)立看門(mén)狗KEYLCD1602LEDRADIOTIME1_pwmTime4_1Time4_2USART1AD應(yīng)用.pdfGPIO口操作.pdfI2C應(yīng)用.pdfIWDG_獨(dú)立看門(mén)狗.pdfMMA7455例程簡(jiǎn)單介紹.pdfSPI.pdfTIME1-PWM應(yīng)用.pdfTIME4應(yīng)用.pdfUSART應(yīng)用.pdf時(shí)鐘.pdf蜂鳴器應(yīng)用.pdf
標(biāo)簽： stm8 單片機(jī) 開(kāi)發(fā)板 stm8s208rb demo
上傳時(shí)間： 2021-10-25
上傳用戶(hù)：qdxqdxqdxqdx
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