The chapter discusses the history and components of computer systems and the Java programming language. It describes how Java was created to enable programs to run on various devices and operating systems. The chapter outlines computer hardware, including the central processing unit, memory, storage, and input/output devices. It also discusses operating systems, application software, programming languages, and how Java source code is compiled into bytecode that runs on the Java Virtual Machine across different computers.
No one could accuse the Eclipse Modeling Framework of being immature or unproven technology. In over seven years since EMF's debut, it has been applied in just about every type of application imaginable, from the desktop, to the web, to mobile and embedded. With this growth came great demand for ways to optimize performance or memory footprint, and to integrate EMF with other complementary technologies and frameworks.
One of the big reasons for EMF's success has been its low barriers to entry: with EMF, anyone can quickly and easily generate powerful, high-quality code from just about any form of model. However, many of the framework's most powerful performance and extensibility features hide below the surface, making it difficult for developers to exploit the framework fully.
This tutorial aims to expose EMF developers to these issues. Rather than plain or simple recipes, it will offer in-depth discussion, drawing on the presenters' experience as EMF committers. Hands-on exercises will provide the opportunity for attendees to become familiar with some lesser-known features that can help them squeeze more performance and utility out of their models.
No one could accuse the Eclipse Modeling Framework of being immature or unproven technology. In over seven years since EMF's debut, it has been applied in just about every type of application imaginable, from the desktop, to the web, to mobile and embedded. With this growth came great demand for ways to optimize performance or memory footprint, and to integrate EMF with other complementary technologies and frameworks.
One of the big reasons for EMF's success has been its low barriers to entry: with EMF, anyone can quickly and easily generate powerful, high-quality code from just about any form of model. However, many of the framework's most powerful performance and extensibility features hide below the surface, making it difficult for developers to exploit the framework fully.
This tutorial aims to expose EMF developers to these issues. Rather than plain or simple recipes, it will offer in-depth discussion, drawing on the presenters' experience as EMF committers. Hands-on exercises will provide the opportunity for attendees to become familiar with some lesser-known features that can help them squeeze more performance and utility out of their models.
This material prepared by Calance professionals is intended for Java technologists and IT professionals with some exposure to J2EE. Readers will discover key design considerations, implementation techniques, practicability, and some guiding principles of building an Enterprise Application. To find out what IT solutions and services Calance offers, visit http://www.calanceus.com.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports BN, ID, MSBN, OOBN, HBN, MEBN/PR-OWL, structure, parameter and incremental learning.
This presentation talks about UnBBayes version 4.0.0, which is the first version that supports plugins. In it we present the major concepts behind this Plugin Framework, features and benefits, applications, some sample plugins, specification, extension points, and availability.
This presentation was given by Shou Matsumoto from the University of Brasilia in Brazil via web conference to PhD students at George Mason University in the US on the Friday seminar called Krypton (http://krypton.c4i.gmu.edu/).
This material prepared by Calance professionals is intended for Java technologists and IT professionals with some exposure to J2EE. Readers will discover key design considerations, implementation techniques, practicability, and some guiding principles of building an Enterprise Application. To find out what IT solutions and services Calance offers, visit http://www.calanceus.com.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports BN, ID, MSBN, OOBN, HBN, MEBN/PR-OWL, structure, parameter and incremental learning.
This presentation talks about UnBBayes version 4.0.0, which is the first version that supports plugins. In it we present the major concepts behind this Plugin Framework, features and benefits, applications, some sample plugins, specification, extension points, and availability.
This presentation was given by Shou Matsumoto from the University of Brasilia in Brazil via web conference to PhD students at George Mason University in the US on the Friday seminar called Krypton (http://krypton.c4i.gmu.edu/).
Smart card operating systems Smallest OS run on smart cards which are credit ...69kjvhcj9c
Real time operating systems
These systems having time as a key parameter.
Real time OS has well defined fixed time constraints.
Processing must be done within defined time constraints otherwise system fails.
Two types of real time OS:
Hard real time – missing an occasional deadline can cause any permanent damage. Many of these are found in industrial process control, car engine control system.
Soft real time – missing an occasional deadline does not cause any permanent damage. Used in digital audio, multimedia system.
Examples: e-Cos.Smart card operating systems
Smallest OS run on smart cards which are credit card sized devices containing CPU chip.
These OS are installed on electronic payments cards such as debit card, credit card etc.
They have limited processing power.
Some smart cards are Java oriented. ROM on smart card holds an interpreter for the JVM – small program.
Mainframe operating systems
OS found in room sized computers which are still found in major corporate data centres.
They offer three kinds of services:
Batch OS – processes routine jobs without any interactive user presents i.e. claim processing in insurance
Transaction processing – handles large numbers of small processes i.e. cheque processing at banks
Timesharing – allows multiple remote users to run their jobs at once i.e. querying a database, airline booking system
Examples: OS/390, OS/360.
Personal computer operating systems
The operating systems installed on our personal computer and laptops are personal OS.
Job of this OS is to provide good support to single user.
This OS is widely used for word processing, spreadsheet and internet access.
Examples: Linux, Windows vista and MacintoshHandhelds computer operating systems
A handheld computer or PDA (Personal Digital Assistant) is small computer that fit in a Pocket and perform small number of functions such as electronic address book, memo pad.
The OS runs on these devices are handheld OS.
These OS also provides ability to handle telephony, digital photography and other functions.
Examples: Symbian OS, Palm OS
Embedded operating systems
This OS is installed in ATMs, printers, calculators and washing machine.
It runs on the computer that control devices.
It neither allow to download new software nor accept user installed software. So there is no need for protection.
Examples: QNX, VxWorks.
Embedded operating systems
This OS is installed in ATMs, printers, calculators and washing machine.
It runs on the computer that control devices.
It neither allow to download new software nor accept user installed software. So there is no need for protection.
Examples: QNX, VxWorks.
Embedded operating systems
This OS is installed in ATMs, printers, calculators and washing machine.
It runs on the computer that control devices.
It neither allow to download new software nor accept user installed software. So there is no need for protection.
Examples: QNX, VxWorks.
Embedded operating systems
This OS is installed in ATMs, printers, calcula