This article critically appraises business model challenges in implementing remote management functionalities. Remote management is believed to create new service opportunities and foster convergence between previously dissociated islands of end user devices. Conflicting business logics from disparate industries, however, run counter to this attempt at centralization. We introduce a generic bus...

Wireless Sensor Networks is considered to be one of the cornerstones of Ambient Intelligence since they can be used in countless applications, where sensors are unobtrusively embedded into the environment to perform operations like monitoring, tracking and reporting. In such scenarios, privacy issues must be carefully considered since the mere observation of the network operation might reveal g...

Monotonic (logical) reasoning makes the strong claim that an inference cannot be contradicted by future information; an assumption contrary to everyday life experience. This assumption is relaxed in non-monotonic reasoning. However, there are only few formal non-monotonic theories of reasoning that have inspired psychological theory-building. Can formal systems such as cumulative logic (system ...

Automated border cont rol (ABC) is concerned with fast and secure processing for intelligence-led ident if icat ion. The FastPass proj ect aims to build a harmonised, modular reference system for future European ABC. When biometrics is taken on board as ident it y, spoofing at tacks become a concern. This paper presents current research in algorithm development for counter-spoofing at tacks in ...

As one of us has already repeatedly stressed ([10], [12], [13], [15]), we believe, together with Hermann von Helmholtz [23], that the central and the most pressing issue confronting cognitive science and artificial intelligence is the development of a satisfactory unified inductive learning model (see also [5], [34], [43]). Unfortunately, this issue was not perceived to be the central issue by ...

Nicholas V. Findler* , Sudheer Dhulipalla** Department of Computer Science and the Artificial Intelligence Lab Arizona State University, Tempe, AZ 85287-5406, USA ________________________________________________________________________________ Abstract Automatic rule discovery of membership in and relations between classes or categories, from given examples and counter-examples, is an important...

Electromyogram signals (EMGs) contain valuable information that can be used in man-machine interfacing between human users and myoelectric prosthetic devices. However, EMG signals are complicated and prove difficult to analyze due to physiological noise and other issues. Computational intelligence and machine learning techniques, such as artificial neural networks (ANNs), serve as powerful tool...

The adoption of linked data concepts from SMEs, meshed up with sophisticated analytics and visualization techniques within an integrated environment, called the LinDA Workbench, appears to reduce the effort for the realisation of specific tasks within the company, by almost 50% in terms of time, while at the same time, it supports the re-design of existing business processes and introduces incr...

This paper describes the implementation of a distributed agent architecture for intrusion detection and response in networked computers. Unlike conventional intrusion detection systems (IDS), this security system attempts to emulate mechanisms of the natural immune system using Java-based mobile software agents. These security agents monitor multiple levels (packet, process, system, and user) o...

Subject review Traffic congestions in urban networks could contribute to adverse impact on the economy, environment and the quality of life. As a result, much research has been conducted to provide counter measures through traffic-responsive control strategies. These strategies aim to provide automated regulations of traffics through various control and intelligent systems methodologies. This p...