Java 2 Micro Edition Application Development

Stefan Haustein Michael Kroll

ISBN 10: 0672320959 / ISBN 13: 9780672320958

Published by Pearson Education, 2001

About this Item

Gebraucht - Wie neu Unbenutzt. Schnelle Lieferung, Kartonverpackung. Abzugsfähige Rechnung. Bei Mehrfachbestellung werden die Versandkosten anteilig erstattet. -Presenting examples of Java 2 Micro Edition applications and utilities designed to illustrate the best practices for small device programming in Java, this text includes coverage of the latest tools and protocols from Sun, including the MIDP (Mobile Information Device Profile). 504 pp. Englisch.

Seller Inventory # INF1000002233

Bibliographic Details

• Title: Java 2 Micro Edition Application Development
• Publisher: Pearson Education
• Publication Date: 2001
• Language: English
• ISBN 10: 0672320959
• ISBN 13: 9780672320958
• Binding: Broschiert
• Condition: Neu
• Dimensions: 231W x 189H x 28D millimeters 231 millimeters width by 189 millimeters height by 28 millimeters depth
• Weight: 826 grams

About this title

Synopsis

The key to Java 2 Micro Edition (J2ME) Application Development is the clear, concise explanations of the J2ME technology in relation to the existing Java platform. This book assumes proficiency with Java and presents strategies for understanding and deploying J2ME applications. The book presents numerous real-world examples, including health care and financial sector examples from the authors' professional experience.

About the Author

Michael Kroll and Stefan Haustein are the creators of the kAWT-Project, an abstract window toolkit designed to allow graphical J2ME programming on devices using the KVM. Since the first release of KVM, both have been members of the Expert group specifying the J2ME PDA Profile.

Michael Kroll¿s experience in professional J2ME programming includes an application for viewing biosignals like ECGs and EEGs on a Palm organizer. Michael is working for Visus Technology Transfer in Germany developing a Java based radiology imaging system called JiveX.

Stefan Haustein studied Computer Science at the University of Dortmund, and is working on his Ph.D in the AI-Unit. He wrote his diploma thesis in the Neuros-Project at the "Institut fur Neuroinformatik" at the University of Bochum about graph-based robot navigation.