Search results for "Software"
showing 10 items of 7396 documents
A Cognitive Robotics Implementation of Global Workspace Theory for Episodic Memory Interaction with Consciousness
2023
Abstract—Artificial general intelligence revived in recent years after people achieved significant advances in machine learning and deep learning. This leads to the thinking of how real intelligence could be created. Consciousness theories believe that general intelligence is essentially conscious, yet no universal definition is agreed upon. In this work, Global Workspace Theory is implemented and integrated with crucial cognitive components. With the focus on episodic memory and inspiration from the nature of episodic memory in psychology and neuroscience, the episodic memory component is implemented within the Global Workspace framework. In our experiment, the robotic agent operates in a …
A multi‐agent system for itinerary suggestion in smart environments
2021
Abstract Modern smart environments pose several challenges, among which the design of intelligent algorithms aimed to assist the users. When a variety of points of interest are available, for instance, trajectory recommendations are needed to suggest users the most suitable itineraries based on their interests and contextual constraints. Unfortunately, in many cases, these interests must be explicitly requested and their lack causes the so‐called cold‐start problem. Moreover, lengthy travelling distances and excessive crowdedness of specific points of interest make itinerary planning more difficult. To address these aspects, a multi‐agent itinerary suggestion system that aims at assisting t…
Rule based reasoning for network management
2006
This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as a managing entity capable of directing, coordinating, and triggering monitoring and management actions in the proposed architecture. The logical inference system has been devised to enable automated isolation, diagnosis, and to repair network anomalies, thus enhancing the reliability, performance, and security of the network. The measurements of network events are captured by programmable sensors deployed on the network devices and are collected by the network management entity whe…
Interaction by ear
2019
Abstract Speech-based interaction is now part of our everyday experiences, in the home and on the move. More subtle is the presence of designed non-speech sounds in human-machine interactions, and far less evident is their importance to create aural affordances and to support human actions. However, new application areas for interactive sound, beyond the domains of speech and music, have been emerging. These range from tele-operation and way-finding, to peripheral process monitoring and augmented environments. Beyond signalling location, presence, and states, future sounding artifacts are expected to be plastic and reconfigurable, and take into account the inherently egocentric nature of so…
Fingerprint Traits and RSA Algorithm Fusion Technique
2012
The present work deals with modern computing systems security issues, focusing on biometric based asymmetric keys generation process. Conventional PKI systems are based on private/public keys generated through RSA or similar algorithms. The present solution embeds biometric information on the private/public keys generation process. In addition the corresponding private key depends on physical or behavioural biometric features and it can be generated when it is needed. Starting from fingerprint acquisition, the biometric identifier is extracted, cyphered, and stored in tamper-resistant smart card to overcome the security problems of centralized databases. Biometric information is then used f…
A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing
2021
Vehicular Social Networks (VSNs) is an emerging communication paradigm, derived by merging the concepts of Online Social Networks (OSNs) and Vehicular Ad-hoc Networks (VANETs). Due to the lack of robust authentication mechanisms, social-based vehicular applications are vulnerable to numerous attacks including the generation of sybil entities in the networks. We address this important issue in vehicular crowdsourcing campaigns where sybils are usually employed to increase their influence and worsen the functioning of the system. In particular, we propose a novel User Recruitment Policy (URP) that, after extracting the participants within the event radius of a crowdsourcing campaign, detects …
Exploring usability and accessibility of avatar-based touchless gestural interfaces for autistic people
2018
Many prior works investigated the potential of pervasive technologies and interactive applications to increase access capabilities to digital content for people with disability, particularly Neuro-Developmental Disorders (NDDs). In this paper, we present an exploratory study aimed at understanding if an avatar-based touchless gestural interface is able to foster interest towards digital representations of artworks, e.g. paintings or sculptures usually exhibited in museums, and to make them more accessible for such people. In particular, the study involved three autistic people and a therapist, and allowed us to report the potential of an avatar to communicate the interactivity and stimulate…
Child-display interaction: Exploring avatar-based touchless gestural interfaces
2019
During the last decade, touchless gestural interfaces have been widely studied as one of the most promising interaction paradigms in the context of pervasive displays. In particular, avatars and silhouettes have been proved to be effective in communicating the touchless gestural interactivity supported by displays. In the paper, we take a child-display interaction perspective by exploring avatar-based touchless gestural interfaces. We believe that large displays offer an opportunity to stimulate child experience and engagement, for instance when learning about art, as well as bringing a number of challenges. The purpose of this study is twofold: 1) identifying the relevant aspects of childr…
BioAnalysis: A Framework for Structural and Functional Robustness Analysis of Metabolic Networks
2010
The main objective of this work is to analyze metabolic networks evolution in terms of their robustness and fault tolerance capabilities. In metabolic networks, errors can be seen as random removal of network nodes, while attacks are high-connectivity-degree node deletion aimed at compromising network activity. This paper proposes a software framework, namely BioAnalysis, used to test the robustness and the fault tolerance capabilities of real metabolic networks, when mutations and node deletions affect the network structure. The performed simulations are related to the central metabolic network of the well-known E. coli single-celled bacterium and involve either hub nodes or non-hub nodes,…
A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems
2010
The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In this paper, an innovative multimodal biometric identification system based on iris and fingerprint traits is proposed. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach result…