Search results for "Machine"
showing 10 items of 2592 documents
Monitoring and Diagnosis of Failures in Squirrel-Cage Induction Motors Due to Cracked or Broken Bars
2011
In this paper three diagnostic procedures, based on on the vibration, current and instantaneous power monitoring for the detection and monitoring of incipient faults as cracks or bar breaks on squirrel cage motors are briefly reminded. The experimental investigations, carried out at the SDESLab (Sustainable Development Energy Savings Laboratory) of the University of Palermo in order to underline merits and drawbacks of the methods applied to the same die cast squirrel cage induction motor, are presented. The results of the investigations confirmed the effectiveness of the diagnostic procedures here considered.
Machine Learning approach towards real time assessment of hand-arm vibration risk
2021
Abstract In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology pr…
Cutting Vibrations
2008
Chapter 8 provides comprehensive engineering knowledge regarding cutting vibrations, their typical sources in machining operations, and methods of their elimination to prevent negative influence on the surface finish (chatter marks). The classification of cutting vibrations including free, forced, and self-excited vibrations is discussed, and all possible sources and mechanisms of all types of cutting vibrations are specified and characterized. The regeneration of surface waviness, which is the predominant mechanism of chatter, is outlined for turning and milling operations. The stability of machining operations based on the stability lobe diagrams is highlighted and their practical applica…
A Comparative Study of Nonlinear Machine Learning for the "In Silico" Depiction of Tyrosinase Inhibitory Activity from Molecular Structure.
2011
In the preset report, for the first time, support vector machine (SVM), artificial neural network (ANN), Baye- sian networks (BNs), k-nearest neighbor (k-NN) are applied and compared on two "in-house" datasets to describe the tyrosinase inhibitory activity from the molecular structure. The data set Data I is used for the identification of tyrosi- nase inhibitors (TIs) including 701 active and 728 inactive compounds. Data II consists of active chemicals for potency estimation of TIs. The 2D TOMOCOMD-CARDD atom-based quadratic indices are used as molecular descriptors. The de- rived models show rather encouraging results with the areas under the Receiver Operating Characteristic (AURC) curve …
Convolutional architectures for virtual screening
2020
Abstract Background A Virtual Screening algorithm has to adapt to the different stages of this process. Early screening needs to ensure that all bioactive compounds are ranked in the first positions despite of the number of false positives, while a second screening round is aimed at increasing the prediction accuracy. Results A novel CNN architecture is presented to this aim, which predicts bioactivity of candidate compounds on CDK1 using a combination of molecular fingerprints as their vector representation, and has been trained suitably to achieve good results as regards both enrichment factor and accuracy in different screening modes (98.55% accuracy in active-only selection, and 98.88% …
What does it mean to be visually literate? Examination of visual literacy definitions in a context of higher education
2018
Full Article Figures & data References Citations Metrics Reprints & Permissions Get access Abstract Competency in visual literacy (VL) is crucial for effective visual communication, and thus for living and working in a visually saturated environment. However, VL across disciplines is still marginalized in higher education curricula. This tendency is partly caused by the lack of knowledge and agreement on what it means to be visually literate. This study juxtaposes and evaluates 11 VL definitions, selected as the most relevant for higher education practitioners and coined from 1969 (the first one) to 2013 (the most recent one). The study further proposes three lists of VL skills with themati…
Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson’s Disease
2016
Part 11: New Methods and Tools for Big Data Wokshop (MT4BD); International audience; This paper presents a novel methodology for selecting the most representative features for identifying the presence of the Parkinson’s Disease (PD). The proposed methodology is based on interactive visual analytic based on multi-objective optimisation. The implemented tool processes and visualises the information extracted via performing a typical line-tracking test using a tablet device. Such output information includes several modalities, such as position, velocity, dynamics, etc. Preliminary results depict that the implemented visual analytics technique has a very high potential in discriminating the PD …
A heterogeneous and reconfigurable machine-vision system
1995
This paper describes a new machine-vision system, a HERMIA heterogeneous and reconfigurable machine for image analysis. The architecture topology of the HERMIA machine is reconfigurable; moreover, the integration of its special modules allows a search for optimal strategies to solve vision problems. The general architecture and the hardware implementation are described. The software environment of the HERMIA machine provides a full iconic interface and a pictorial language oriented to vision in multiprocessor architectures. The preliminary system evaluation and applications are shown. © 1995 Springer-Verlag.
A Posture Sequence Learning System for an Anthropomorphic Robotic Hand
2003
The paper presents a cognitive architecture for posture learning of an anthropomorphic robotic hand. Our approach is aimed to allow the robotic system to perform complex perceptual operations, to interact with an human user and to integrate the perceptions by a cognitive representation of the scene and the observed actions. The anthropomorphic robotic hand imitates the gestures acquired by the vision system in order to learn meaningful movements, to build its knowledge by different conceptual spaces and to perform complex interaction with the human operator.
Insect brains use image interpolation mechanisms to recognise rotated objects.
2008
Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees…