11 research outputs found
Image classification using generalized multiscale RBF networks and discrete cosine transform
The use of the multiscale generalized radial basis
function (MSRBF) network for image feature extraction is
proposed for the first time. The MSRBF network holds a
simple but flexible structure capable to modelling complex
systems. However MSRBF is originally designed to identify
observational-type input-output systems. We aim to use this
efficient network to get to concise but accurate models of
digital images thanks to: a) the use of multiple scales in the
RBF kernel width, and b) the adoption of the forward
regression orthogonal least squares (FROLS) algorithm to
refine the model structure selection. Thereafter the new
tailored model is excited to produce output signals aimed at
be compressed by the discrete cosine transform (DCT),
adopted in this work to compact signals’ energy into a few
coefficients. To recognise images as MSRBF networks, a
mathematical modelling was done by considering the first
ones as multiple-input single-output systems. Based on the
new methodology a novel computer aided diagnosis (CAD)
system for cancer detection in X-ray mammograms was
designed. Classification results show that the new CAD
method helped reach a competitive diagnostic accuracy of
93.5%. It was similarly found that the MSRBF network is
able to construct tailored and precise image models
La ‘vista in prima persona’ tra esperienza reale e fruizione digitale
Il contributo espone i termini di una riflessione critica sul tema della ’vista in prima persona‘ così come
definita nell’ambito delle rappresentazioni tridimensionali digitali virtuali interattive. Il tema gemmato
da considerazioni riguardanti la meraviglia percettiva, comunicativa, illusoria e narrativa, propria delle
prospettive architettoniche, analizza alcuni scenari della fruizione prospettica digitale, confrontandoli
con le caratteristiche fondamentali dell’esperienza naturale del movimento e della visione nel mondo
reale. L’obiettivo cui mira la ricerca, oggetto di questo contributo, è di individuare alcune macroscopiche criticità e lacune funzionali, oggi singolarmente trascurate, sulle quali sia possibile intervenire
qualitativamente per perfezionare l’esperienza percettiva e, per conseguenza, l’attività conoscitiva dello
spazio virtuale digitale così come dell’informazione in esso contenuto.The contribution exposes the terms of a critical reflection on the theme of “first person view” as
defined in the context of interactive virtual digital three-dimensional representations. The theme,
gemmed by considerations regarding the perceptive, communicative, illusory and narrative wonder,
typical of architectural perspectives, analyzes some scenarios of digital perspective use, comparing
them with the fundamental characteristics of the natural experience of movement and vision in
the real world. The aim of the research object of this contribution is to identify some macroscopic
criticalities and functional gaps, today individually overlooked, on which it is possible to intervene qua- litatively to perfect the perceptual experience and, consequently, the cognitive activity of the digital
virtual space , as well as the information it contains
Condition Monitoring and Fault Diagnosis of Fluid Machines in Process Industries
Condition Monitoring (CM) of fluid machines plays a critical role in maintaining efficient
productivity in many processing industries. Conventional vibration techniques generally
provide more localised information with the need for many sensors, associated data acquiring
and processing efforts, which are difficult for system deployment and are reluctantly accepted
by those industries, for example paper mills and food production lines making marginal profits.
To find adequate CM techniques for such industries this research investigates a new cost-
effective scheme of implementing CM, which combines the high diagnostic capability of using
Surface Vibration (SV) with the global detection capability of using the Instantaneous Angular
Speed (IAS) measurements and Airborne Sound (AS). To address specific techniques involved
in the scheme, this research is arranged in three consecutive Phases: Phase I is the technical
evaluation; Phase II is the field implementation practices and Phase III is the application of AS
through Convolution Neural Networks (CNN).
In Phase I, widely used reciprocating compressor is investigated numerically and
experimentally, which clarifies the performances of SV, IAS, AS, pressure and motor current
in a quantitative way for differentiating common faults such as leakages happening in valves
and intercoolers, faulty motor drives and mechanical transmission systems. It paves the
foundations for the field implementation in Phase II.
In Phase II, this novel scheme is realised on three sets of vacuum pumps in a paper mill. Based
on an analytic study of dynamic responses to common faults on these pumps, a field test was
conducted to verify the feasibility of the scheme and the preliminary study shows that airborne
sound can show the relative spectral components for each machine to a good degree of
accuracy.
Knowledge gained from the preceding phases of study is now applied to Phase III. New
techniques based on airborne signal differences through CNN have been demonstrated to give
a good indication of the sound propagation and location of noise sources under all operating
discharge pressure conditions at 100% validation accuracy, proving that the state of the art deep
leaning approaches can be used to deal with complicated acoustic data
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen
PROCEEDINGS 5th PLATE Conference
The 5th international PLATE conference (Product Lifetimes and the Environment) addressed product lifetimes in the context of sustainability. The PLATE conference, which has been running since 2015, has successfully been able to establish a solid network of researchers around its core theme. The topic has come to the forefront of current (political, scientific & societal) debates due to its interconnectedness with a number of recent prominent movements, such as the circular economy, eco-design and collaborative consumption. For the 2023 edition of the conference, we encouraged researchers to propose how to extend, widen or critically re-construct thematic sessions for the PLATE conference, and the paper call was constructed based on these proposals. In this 5th PLATE conference, we had 171 paper presentations and 238 participants from 14 different countries. Beside of paper sessions we organized workshops and REPAIR exhibitions