libraw1394 is the only supported interface to the kernel side raw1394 of
the Linux IEEE-1394 subsystem, which provides direct access to the connected
1394 buses to user space. Through libraw1394/raw1394, applications can directly
send to and receive from other nodes without requiring a kernel driver for the
protocol in question.
This book explains how to write, install, and debug device drivers for Windows 2000. It is intended to be a companion to the Microsoft DDK documentation and software.
Windows 2000 represents a major improvement to previous versions of Windows NT. Device drivers for Windows 2000 may be designed for the new Windows Driver Model (WDM) architecture. If so, the driver will be source compatible with Windows 98. This book covers the new WDM specification.
This book will also prove useful to those studying the internals of Windows 2000, particularly the I/O subsystem and related components.
S60-programming-a-tutorial-guide-symbian.
1 Introduction to Mobile-Phone Systems 1
1.1 Wireless Technologies 1
1.2 Cellular Systems 2
1.3 Elements of a Mobile-Phone System 4
1.4 Keeping Users’ Calls Separate 5
1.5 Multipath Propagation 7
1.6 2G Mobile-Phone Systems 9
1.7 GPRS Systems 10
1.8 3G Mobile-Phone Systems 13
1.9 IP Multimedia subsystem 16
1.10 Mobile-Phone Hardware 17
2 Introduction to Symbian OS 19
Introduction 19
2.1 The Development of Symbian OS 20
2.2 Symbian OS User Interfaces 21
2.3 Coding Idioms 23
2.4 Tool Chains 28
3 The Console Application 33
Introduction 33
3.1 Creating a Console Application 33
3.2 CBase Classes 38
3.3 Protecting Memory 38
3.4 Putting It Into Practice: An Engine for a Simple
Card Game 46
Summary 56
文件說明java模式，The CustomerFacade class offers a higher level business service in the
form of the saveCustomerData method. Instead of interacting with each of the subsystem components directly, the client AccountManager can make use of the higher level, more simplified interface offered by the CustomerFacade object to validate and save the input customer data.
Abstract—Stable direct and indirect decentralized adaptive radial basis
neural network controllers are presented for a class of interconnected
nonlinear systems. The feedback and adaptation mechanisms for each
subsystem depend only upon local measurements to provide asymptotic
tracking of a reference trajectory. Due to the functional approximation
capabilities of radial basis neural networks, the dynamics for each
subsystem are not required to be linear in a set of unknown coeffi cients
as is typically required in decentralized adaptive schemes. In addition,
each subsystem is able to adaptively compensate for disturbances and
interconnections with unknown bounds.
obot control, a subject aimed at making robots behave as desired, has been
extensively developed for more than two decades. Among many books being
published on this subject, a common feature is to treat a robot as a single
system that is to be controlled by a variety of control algorithms depending on
different scenarios and control objectives. However, when a robot becomes more
complex and its degrees of freedom of motion increase substantially, the needed
control computation can easily go beyond the scope a modern computer can
handle within a pre-specified sampling period. A solution is to base the control
on subsystem dynamics.
