Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010

Roger Lee (Herausgeber)

Buch | Softcover

X, 166 Seiten

2014
Springer Berlin (Verlag)
978-3-642-42245-4 (ISBN)

Artikel merken

th The purpose of the 11 Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 - 11, 2010 in London, United Kingdom was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 15 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Cai Luyuan et al. Present a new method of shape decomposition based on a refined morphological shape decomposition process. In Chapter 2, Kazunori Iwata et al. propose a method for reducing the margin of error in effort and error prediction models for embedded software development projects using artificial neural networks (ANNs). In Chapter 3, Viliam Simko et al. describe a model-driven tool that allows system code to be generated from use-cases in plain English. In Chapter 4, Abir Smiti and Zied Elouedi propose a Case Base Maintenance (CBM) method that uses machine learning techniques to preserve the maximum competence of a system. In Chapter 5, Shagufta Henna and Thomas Erlebach provide a simulation based analysis of some widely used broadcasting schemes within mobile ad hoc networks (MANETs) and propose adaptive extensions to an existing broadcasting algorithm.

Shape Decomposition for Graph Representation.- Improving Accuracy of an Artificial Neural Network Model to Predict Effort and Errors in Embedded Software Development Projects.- From Textual Use-Cases to Component-Based Applications.- COID: Maintaining Case Method Based on Clustering, Outliers and Internal Detection.- Congestion and Network Density Adaptive Broadcasting in Mobile Ad Hoc Networks.- Design and Performance Evaluation of a Machine Learning-Based Method for Intrusion Detection.- Evolution of Competing Strategies in a Threshold Model for Task Allocation.- Efficient Mining of High Utility Patterns over Data Streams with a Sliding Window Method.- Resolving Sluices in Urdu.- Context Sensitive Gestures.- A Recommendation Framework for Mobile Phones Based on Social Network Data.- Language Modeling for Medical Article Indexing.

Erscheint lt. Verlag	13.11.2014
Reihe/Serie	Studies in Computational Intelligence
Mitarbeit	Gast Herausgeber: Liz Bacon, Wencai Du, Jixin Ma, Miltos Petridis
Zusatzinfo	X, 166 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	278 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Artificial Intelligence • Computational Intelligence • Computer • Design • Development • Distributed Computing • Intelligence • machine learning • Modeling • Network • proving • Science • Software • software development • Software engineering
ISBN-10	3-642-42245-4 / 3642422454
ISBN-13	978-3-642-42245-4 / 9783642422454
Zustand	Neuware