The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in
supporting the evolution of conventional electrical grids toward active, flexible and self-
healing web energy networks composed of distributed and cooperative energy resources.
From a conceptual point of view, the SG is the convergence of information and
operational technologies applied to the electric grid, providing sustainable options to
customers and improved security. Advances in research on SGs could increase the
efficiency of modern electrical power systems by: (i) supporting the massive penetration
of small-scale distributed and dispersed generators; (ii) facilitating the integration of
pervasive synchronized metering systems; (iii) improving the interaction and cooperation
between the network components; and (iv) allowing the wider deployment of self-healing
and proactive control/protection paradigms.
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.
Software-defined radios (SDRs) have been around for more than a decade. The
first complete Global Positioning System (GPS) implementation was described
by Dennis Akos in 1997. Since then several research groups have presented their
contributions. We therefore find it timely to publish an up-to-date text on the sub-
ject and at the same time include Galileo, the forthcoming European satellite-
based navigation system. Both GPS and Galileo belong to the category of Global
Navigation Satellite Systems (GNSS).
This book is an outgrowth of a course developed at Stanford University over
the past five years. It is suitable as a self-contained textbook for second-level
undergraduates or for first-level graduate students in almost every field that
employs quantitative methods. As prerequisites, it is assumed that the student
may have had a first course in differential equations and a first course in linear
algebra or matrix analysis. These two subjects, however, are reviewed in
Chapters 2 and 3, insofar as they are required for later developments.
The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in
supporting the evolution of conventional electrical grids toward active, flexible and self-
healing web energy networks composed of distributed and cooperative energy resources.
From a conceptual point of view, the SG is the convergence of information and
operational technologies applied to the electric grid, providing sustainable options to
customers and improved security. Advances in research on SGs could increase the
efficiency of modern electrical power systems by: (i) supporting the massive penetration
of small-scale distributed and dispersed generators; (ii) facilitating the integration of
pervasive synchronized metering systems; (iii) improving the interaction and cooperation
between the network components; and (iv) allowing the wider deployment of self-healing
and proactive control/protection paradigms.
HRVAS is a complete and self-contained heart rate variability analysis software (HRVAS) package. HRVAS offers several preprocessing options. HRVAS offers time-domeain, freq-domain, time-frequency, and nonlinear HRV analysis. All results can be exported to an Excel file. For processing many files HRVAS offers a bach processing feature. All settings/options can be saved to a .mat file and reloaded for future HRV analysis. Upon starting HRVAS all previously used settings/options are loaded.
可測試性設計（Design-For-Testability，DFT）已經成為芯片設計中不可或缺的重要組成部分。它通過在芯片的邏輯設計中加入測試邏輯提高芯片的可測試性。在高性能通用 CPU 的設計中，可測試性設計技術得到了廣泛的應用。本文結合幾款流行的 CPU，綜述了可應用于通用 CPU 等高性能芯片設計中的各種可測試性方法，包括掃描設計（Scan Design），內建自測試（Built-In Self-Test，BIST），測試點插入（Test Point Insertion），與 IEEE 1149.1標準兼容的邊界掃描設計（Boundary Scan Design，BSD）等技術。
The Verilog Hardware Description Language (HDL) is defined in this standard. Verilog HDL is a formal notation intended for use in all phases of the creation of electronic systems. Because it is both machine readable and human readable,it supports the development,verification, synthesis,and testing of hardware designs; the communication of hardware design data; and the maintenance,modification,and procurement of hardware. The primary audiences for this standard are the implementors of tools supporting the language and advanced users of the language.
SDN （Software Defined
Networking）作為當前最重要的熱門技術之一，目前已經普遍得到大家的共識。有關SDN的資料和書籍非常豐富，但入門和學習SDN依然是非常困難。本書整理了SDN實踐中的一些基本理論和實踐案例心得，希望能給大家帶來啟發，也歡迎大家關注和貢獻。本書內容包括網絡基礎SDN網絡容器網絡Linux網絡OVS以及DPDKSD-WANNFV實踐案例
The PW2202 is silicon N-channel Enhanced VDMOSFETs, is obtained by the self-aligned planarTechnology which reduce the conduction loss, improve switching performance and enhance theavalanche energy. The transistor can be used in various power switching circuit for system
