Search results for "LABOR"

Activity Monitoring Made Easier by Smart 360-degree Cameras

2023

This paper proposes the use of smart 360-degree cameras for activity monitoring. By exploiting the geometric properties of these cameras and adopting off-the-shelf tracking algorithms adapted to equirectangular images, this paper shows how simple it becomes deploying a camera network, and detecting the presence of pedestrians in predefined regions of interest with minimal information on the camera, namely its height. The paper further shows that smart 360-degree cameras can enhance motion understanding in the environment and proposes a simple method to estimate the heatmap of the scene to highlight regions where pedestrians are more often present. Quantitative and qualitative results demons…

Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos

2019

This paper proposes a deep convolutional neural network (CNN) for pedestrian tracking in 360◦ videos based on the target’s motion. The tracking algorithm takes advantage of a virtual Pan-Tilt-Zoom (vPTZ) camera simulated by means of the 360◦ video. The CNN takes in input a motion image, i.e. the difference of two images taken by using the vPTZ camera at different times by the same pan, tilt and zoom parameters. The CNN predicts the vPTZ camera parameter adjustments required to keep the target at the center of the vPTZ camera view. Experiments on a publicly available dataset performed in cross-validation demonstrate that the learned motion model generalizes, and that the proposed tracking algo…

A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mou…

2022

The 64Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET) imaging to evaluate its biodistribution in a murine model at different acquisition times. For this purpose, nine 6-week-old female Balb/C nude strain mice underwent micro-PET imaging at three different time points after 64Cu-labeled chelator injection. Specifically, the mice were divided into group 1 (acquisition 1 h after [64Cu] chelator administration, n = 3 mice), group 2 (acquisition 4 h after [64Cu]chelator administration, n = 3 mice), and group 3 (acquisition 24 h after [64Cu] chelator administration, n = 3 mice). Successively, all PET studies were segmented by means of registration with a standard te…

INTEGRATING ONTOLOGY AND COGNITIVE LINGUISTICS FOR NATURAL LANGUAGE PRODUCTION AND UNDERSTANDING A CASE OF STUDY IN FLUID CONSTRUCTION GRAMMAR.

2012

Conceptual Commitments of AGI Systems

2013

Standardisation of Artificial Intelligence: Making a “New World” Brave, with Support of Human Requirements in a Machine Intelligence Environment

2022

In line with previous industrial revolutions, standardisation must accompany the deployment of artificial intelligence systems that promise to revolutionise the way we live (home automation, autonomous vehicles, EdTech, etc.) and work (collaborative industrial robots, agricultural robots, inspection and maintenance robots, LegalTech, FinTech, etc.). The standards produced and promoted in Europe will be resolutely geared towards the protection of people and property, thus promoting the acceptability of these intelligent systems and the common interest. They will have to cover the requirements expected of AIs, but also the means and methods for assessing them. The new standards will have to c…

A COGNITIVE ARCHITECTURE FOR AMBIENT INTELLIGENCE

2011

L’Ambient Intelligence (AmI) è caratterizzata dall’uso di sistemi pervasivi per monitorare l’ambiente e modificarlo secondo le esigenze degli utenti e rispettando vincoli definiti globalmente. Questi sistemi non possono prescindere da requisiti come la scalabilità e la trasparenza per l’utente. Una tecnologia che consente di raggiungere questi obiettivi è rappresentata dalle reti di sensori wireless (WSN), caratterizzate da bassi costi e bassa intrusività. Tuttavia, sebbene in grado di effettuare elaborazioni a bordo dei singoli nodi, le WSN non hanno da sole le capacità di elaborazione necessarie a supportare un sistema intelligente; d’altra parte senza questa attività di pre-elaborazione …

Cognitive Systems Research: Special Issue on Biologically Inspired Cognitive Architectures: Papers from the Tenth Annual International Conference on …

2021

This Special Issue of Cognitive System Research on Biologically Inspired Cognitive Architectures: Papers from the Tenth Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2019) have solicited and collected research papers in all domains of science and technology that directly or indirectly may help us to make an advance toward the BICA Challenge, which is to implement the top essential functionality of the human mind in a machine. The selected papers included here are based on presentations given from 16 to 18 August 2019 during the 10th Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2019) held at the Microsoft Main…

Adversarial Machine Learning in e-Health: Attacking a Smart Prescription System

2022

Machine learning (ML) algorithms are the basis of many services we rely on in our everyday life. For this reason, a new research line has recently emerged with the aim of investigating how ML can be misled by adversarial examples. In this paper we address an e-health scenario in which an automatic system for prescriptions can be deceived by inputs forged to subvert the model's prediction. In particular, we present an algorithm capable of generating a precise sequence of moves that the adversary has to take in order to elude the automatic prescription service. Experimental analyses performed on a real dataset of patients' clinical records show that a minimal alteration of the clinical record…

A genome based vision of multi-agent systems

2011

A set of software agents can be programmed to provide a large but finite set of services, often defined during design phase. After an evolution of the external environment, the pre-defined services could be unable to satisfy the requested quality. In this work it is proposed an agent framework capable to adapt the agents in order to improve the quality of services provided by an agent society in correspondence with a modification of the external environment. These agents are based on a biologically inspired structure (genome), that de- fines all their behaviors and knowledges. The effectiveness of the approach is proved by a set of successful experimental results