After the successful global introduction during the past decade of the second generation (2G) digital
mobile communications systems, it seems that the third generation (3G) Universal Mobile Communication
System (UMTS) has finally taken off, at least in some regions. The plethora of new services that
are expected to be offered by this system requires the development of new paradigms in the way scarce
radio resources should be managed. The Quality of Service (QoS) Concept, which introduces in a natural
way the service differentiation and the possibility of adapting the resource consumption to the specific
service requirements, will open the door for the provision of advanced wireless services to the mass
market.
RFID is an area of automatic identifi cation that is gaining
momentum and is considered by some to emerge as one of
the most pervasive computing technologies in history. In its
simplest form, RFID is a similar Concept to bar coding. It is
seen as a means of enhancing data processes and is comple-
mentary to existing technologies. It is a proven technology
that has been in use since the 1970s.
The file is a tutorial introduction to Decimation, one of the sample rate conversion processes. It contains detailed basic exposition of the process and a design example to introduce the beginner to the Concept.
Short description: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas. GUI Ant-Miner differs from the original algorithm as follows: It has a friendly graphical user interface, makes possible the use of ant populations within the Ant Colony Optimization (ACO) Concept, data input file is standardized with the well-known Weka system, and runs on virtually any operating system since it is written in Java.
This chapter enables the reader to:
• Know the content and organization of this book, and how to use it to analyze
and model radar system performance
• Understand the Concept of radar operation, the functions performed by radar,
and how radar may be used in various applications
• Understand the characteristics of functional radar models and how they are
used to analyze overall radar performance.
nesc language introduction. nesC is an extension to C [2] designed to embody the structuring Concepts and execution model of
TinyOS [1]. TinyOS is an event-driven operating system designed for sensor network nodes that
have very limited resources (e.g., 8K bytes of program memory, 512 bytes of RAM). TinyOS has
been reimplemented in nesC. This manual describes v1.1 of nesC, changes from v1.0 are summarised
in Section 3.
FP + OOP = Haskell. The programming language Haskell adds object-oriented functionality (using a Concept
known as
type classes
) to a pure functional programming framework. This paper describes
these extensions and analyzes its accomplishments as well as some problems.
前言：My journey to learn and better understand Linux began back in 1998. I had just installed my first Linux distribution
and had quickly become intrigued with the whole Concept and philosophy behind Linux.
這是英文原版的很清晰，希望能幫助到對linux感興趣的朋友。
The Concept of “smart city” is often used implying that the reader has a clear and
common notion of what it means. However, in the current literature it is very hard
to find a precise definition. What is even more interesting, it is not so easy to find a
precise definition of what a city is.
The Concept of smart cities emerged few years ago as a new vision for urban
development that aims to integrate multiple information and communication
technology (ICT) solutions in a secure fashion to manage a city’s assets. Modern ICT
infrastructure and e-services should fuel sustainable growth and quality of life,
enabled by a wise and participative management of natural resources to be ensured
by citizens and government. The need to build smart cities became a requirement that
relies on urban development that should take charge of the new infrastructures for
smart cities (broadband infrastructures, wireless sensor networks, Internet-based
networked applications, open data and open platforms) and provide various smart
services and enablers in various domains including healthcare, energy, education,
environmental management, transportation, mobility and public safety.
