Broadband powerline Communication systems are continuing to gain significant
market adoption worldwide for applications ranging from IPTV delivery to the
Smart Grid. The suite of standards developed by the HomePlug Powerline
Alliance plays an important role in the widespread deployment of broadband
PLC. To date, more than 100 million HomePlug modems are deployed and these
numbers continue to rise.
Resource allocation is an important issue in wireless Communication networks. In
recent decades, cognitive radio technology and cognitive radio-based networks have
obtained more and more attention and have been well studied to improve spectrum
utilization and to overcomethe problem of spectrum scarcity in future wireless com-
munication systems. Many new challenges on resource allocation appear in cogni-
tive radio-based networks. In this book, we focus on effective solutions to resource
allocation in several important cognitive radio-based networks, including a cogni-
tive radio-basedopportunisticspectrum access network, a cognitiveradio-basedcen-
tralized network, a cognitive radio-based cellular network, a cognitive radio-based
high-speed vehicle network, and a cognitive radio-based smart grid.
n its Framework and Roadmap for Smart Grid Interoperability Standards, the US
National Institute of Standards and Technology declares that a twenty-first-century
clean energy economy demands a twenty-first-century electric grid. 1 The start of the
twenty-first century marked the acceleration of the Smart Grid evolution. The goals
of this evolution are broad, including the promotion of widespread and distributed
deployment of renewable energy sources, increased energy efficiency, peak power
reduction, automated demand response, improved reliability, lower energy delivery
costs, and consumer participation in energy management.
Radio frequency identifi cation (RFID) technology is a wireless Communication
technology that enables users to uniquely identify tagged objects or people.
RFID is rapidly becoming a cost-effective technology. This is in large part
due to the efforts of Wal-Mart and the Department of Defense (DoD) to
incorporate RFID technology into their supply chains. In 2003, with the aim
of enabling pallet-level tracking of inventory, Wal-Mart issued an RFID
mandate requiring its top suppliers to begin tagging pallets and cases, with
Electronic Product Code (EPC) labels. The DoD quickly followed suit and
issued the same mandate to its top 100 suppliers. This drive to incorporate
RFID technology into their supply chains is motivated by the increased ship-
ping, receiving and stocking effi ciency and the decreased costs of labor, storage,
and product loss that pallet-level visibility of inventory can offer.
With more than two billion terminals in commercial operation world-wide, wire-
less and mobile technologies have enabled a first wave of pervasive Communication
systems and applications. Still, this is only the beginning as wireless technologies
such as RFID are currently contemplated with a deployment potential of tens of
billions of tags and a virtually unlimited application potential. A recent ITU report
depicts a scenario of “Internet of things” — a world in which billions of objects will
report their location, identity, and history over wireless connections.
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.
The 9th International Conference on Large-Scale Scientific Computations
(LSSC 2013) was held in Sozopol, Bulgaria, during June 3–7, 2013. The conference
was organized and sponsored by the Institute of Information and Communication
Technologies at the Bulgarian Academy of Sciences.
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.
針對嵌入式產品程序更新問題,提出了一種基于IAP技術的STM32單片機在線固件升級方案,設計了STM32單片機最小系統硬件電路和USB轉串口通信電路,并給出了Bootloader程序、APP程序、PC上機程序的實現流程.實驗結果表明,該方案具有簡單實用、穩定性高、維護成本低和設備使用效率高的特點,適用于嵌入式產品升級.For the problem of updating embedded products program,an online firmware upgrade scheme of STM32 single chip microcomputer based on IAP technology is proposed.This scheme not only elaborates the principle of IAP technology in detail but also provides the design of the minimum system hardware circuit of STM32 MCU,the design of USB for serial Communication circuit,and the implementation flow of Bootloader program,APP program and PC program.The experiment results show that the scheme is simple,practical and highly stable.In addition,it can be used to actual embedded product upgrading,significantly reducing maintenance costs and improving the efficiency of equipment.
