Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of...

The application framework of the presented research work is stablished in the area of the low-power portable stand-alone devices. Considering as a paradigm application the implementation of future portable terminals for telecommunications, two opposed trends coexist that determine the need for an optimized energy management. An...

It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh...

Software automates a wide variety of business processes in modern enterprises. Changes made to software are, in effect, changes made to the business processes themselves that govern and automate the internal and external operations of an organization.Without a proper disciplined approach to change management, enterprises lack a full...

Software Defined Radio makes wireless communications easier, more efficient, and more reliable. This book bridges the gap between academic research and practical implementation. When beginning a project, practicing engineers, technical managers, and graduate students can save countless hours by considering the concepts presented in these...

This book provides a comprehensive synthesis of the theory and practice of photonic devices for networks-on-chip. It outlines the issues in designing photonic network-on-chip architectures for future many-core high performance chip multiprocessors. The discussion is built from the bottom up: starting with the design and implementation of key...

The author presents current work in bond graph methodology by providing a compilation of contributions from experts across the world that covers theoretical topics, applications in various areas as well as software for bond graph modeling.

It addresses readers in academia and in industry concerned with the analysis of...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

The availability of geographic and geo-spatial information and services, especially on the openWeb, has become abundant in the last several yearswith the proliferation of online maps, geo-coding services, geospatial Web services and geospatially enabled applications. Concurrently, the need for geo-spatial reasoning has significantly...