Aspect-Oriented Software Developement
Coverage includes
Using AOSD to streamline complex systems development without sacrificing flexibility or scalability
How AOSD builds on the object-oriented paradigmand how it s different
State-of-the-art best practices for the AOSD development process
Languages and foundations: separating concerns, filter technologies, improving modularity, integrating new features, and more
Using key AOSD tools, including AspectJ, Hyper/J, JMangler, and Java Aspect Components
Engineering aspect-oriented systems: UML, concern modeling and elaboration, dependency management, and aspect composition
Developing more secure applications with AOSD techniques
Applying aspect-oriented programming to database systems
Building dynamic aspect-oriented infrastructure
This GLib version 2.16.1. GLib is the low-level core
library that forms the basis for projects such as GTK+ and GNOME. It
provides data structure handling for C, portability wrappers, and
interfaces for such runtime functionality as an event loop, threads,
dynamic loading, and an object system.
A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a flexible support for wireless and mobile networking and in particular:
support for multiple interfaces/multiple channels, and
a common basis for the implementation of wireless routing protocols.
Whenever there is an application to write, breaking it up to small pieces is a great idea. The smallest piece of any application would probably be a data object, or a simple Bean in Java. Java Beans are simple Java classes that have a distinctive look and behavior. Their simplest purpose is to contain data and they accomplish this by having properties. Each property is actually a data-member containing/referencing the actual data and a couple of methods, a getter method and a setter method. Thus, the simplest data-bean describing a person could be expressed as such:
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
-- Simple Robot Control Program
--------------------------------------------------------------------------
-- Left is left IR sensor - 1=object to left
-- Right is rigth IR sensor - 1=object to right
-- Lmotor_dir 1=forward 0=reverse
-- Rmotor_dir 1=forward 0=reverse
-- Lmotor_speed 111=fast 000=slow
-- Rmotor_speed 111=fast 000=slow
