Search results for "LABOR"
showing 10 items of 3876 documents
Application of EαNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition
2006
Speech recognition has become common in many application domains. Incorporating acoustic-phonetic knowledge into Automatic Speech Recognition (ASR) systems design has been proven a viable approach to rise ASR accuracy. Manner of articulation attributes such as vowel, stop, fricative, approximant, nasal, and silence are examples of such knowledge. Neural networks have already been used successfully as detectors for manner of articulation attributes starting from representations of speech signal frames. In this paper, a set of six detectors for the above mentioned attributes is designed based on the E-αNet model of neural networks. This model was chosen for its capability to learn hidden acti…
A Reconfigurable Neural Environment on Active Networks
2000
This paper proposes the deployment of a neural network computing environment on Active Networks. Active Networks are packet-switched computer networks in which packets can contain code fragments that are executed on the intermediate nodes. This feature allows the injection of small pieces of codes to deal with computer network problems directly into the network core, and the adoption of new computing techniques to solve networking problems. The goal of our project is the adoption of a distributed neural network for approaching tasks which are specific of the computer network environment. Dynamically reconfigurable neural networks are spread on an experimental wide area backbone of active no…
Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect
2013
The Microsoft Kinect sensor is largely used to detect and recognize body gestures and layout with enough reliability, accuracy and precision in a quite simple way. However, the pretty low resolution of the optical sensors does not allow the device to detect gestures of body parts, such as the fingers of a hand, with the same straightforwardness. Given the clear application of this technology to the field of the user interaction within immersive multimedia environments, there is the actual need to have a reliable and effective method to detect the pose of some body parts. In this paper we propose a method based on a neural network to detect in real time the hand pose, to recognize whether it…
The zitterbewegung interpretation of quantum mechanics as theoretical framework for ultra-dense deuterium and low energy nuclear reactions
2017
This paper introduces a Zitterbewegung model of the electron by applying the principle of Occam's razor to the Maxwell's equations and by introducing a scalar component in the electromagnetic field. The aim is to explain, by using simple and intuitive concepts, the origin of the electric charge and the electromagnetic nature of mass and inertia. The Zitterbewegung model of the electron is also proposed as the best suited theoretical framework to study the structure of Ultra-Dense Deuterium (UDD), the origin of anomalous heat in metal-hydrogen systems and the possibility of existence of "super-chemical" aggregates at Compton scale.
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…
Combining intelligent recommendation and mixed reality in itineraries for urban exploration
2017
Exploration of points of interest (POI) in urban environments is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.
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…
Introducing automated reasoning in network management
2004
This paper proposes the adoption of Artificial Intelligence techniques in the field of network management and moni toring. In order to allow automated reasoning on network ing topics, we constructed an accurate ontological model capable of fitting as more as possible networking concepts. The thoroughly representation of the domain knowledge is used by a Logical Reasoner, which is an expert system ca pable of performing management tasks typically executed by human experts. The Logical Reasoner is integrated in a distributed multi-agent architecture for network manage ment, which exploits the dynamic reasoning capabilities of the Situation Calculus formalism to provide a powerful sys tem capa…