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- Carratú, Marco, et al.
(författare)
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A novel IVS procedure for handling Big Data with Artificial Neural Networks
- 2020
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Ingår i: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). - : IEEE. - 9781728144603
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Konferensbidrag (refereegranskat)abstract
- In recent times, thanks to the availability of a large quantity of data coming from the industrial process, several techniques based on a data-driven approach could be developed. Between all the data-driven techniques, as Principle Component Regression, Support Vector Machines, Artificial Neural Networks, Neuro-Fuzzy Systems, and many others, the data on which they rely should be analyzed to find correlations and dependencies that could improve their design. For this reason, the Input variable Selection (IVS) process has become of great interest in the recent period. The classical IVS relies on classical statistics, as Pearson coefficients, able to discover linear dependencies among data; today, due to the significant amount of data available, the challenge of also discovering non-linear dependencies appears to be a necessary skill, mainly for the design and development of a neural network. This paper proposes the use of a novel statistical tool named Maximal Information Coefficient (MIC) for developing an IVS procedure able to discover dependencies in a considerable dataset and guide the IVS designer to the selection of input variables in a data-driven application. As a case study, the procedure will be applied to a real application developed in the context of the Swedish forest industry, in order to choose the input variables of a neural network able to estimate the timber bundles volume, which represents an expensive parameter to measure in this context.
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| 3. |
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| 4. |
- Di Leo, Giuseppe, et al.
(författare)
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A vision system for the online quality monitoring of industrial manufacturing
- 2017
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Ingår i: Optics and lasers in engineering. - : Elsevier BV. - 0143-8166 .- 1873-0302. ; 89, s. 162-168
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Tidskriftsartikel (refereegranskat)abstract
- The design of an image based measurement system for the online inspection of electromechanical parts is described. A two-camera architecture is introduced in order to highlight all the required details involved in the measurements. The design takes into account both the interfacing and the real-time issues that assure an effective online operation. The description of the measurement system and the corresponding installation on the production line points out a methodological approach to the design of these kinds of measurement systems. The paper provides details about the algorithms for the localization and the measurement of the required quantities, as well as the calibration procedure and the error correction. Experimental tests for the performance evaluation are presented and discussed in terms of timing and accuracy.
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| 5. |
- Di Leo, Giuseppe, et al.
(författare)
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I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies
- 2017
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Ingår i: Proceedings of the 50th Hawaii International Conference on System Sciences 2017. - 9780998133102 ; , s. 3587-3596
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Konferensbidrag (refereegranskat)abstract
- The paper introduces I3DermoscopyApp, a new declination of the Internet of Things (IoT) paradigm, designed to allow the early detection of melanoma. Even though artificial intelligence programs cannot outperform the diagnostic accuracy of expert dermatologists yet, they reveal to be very useful in providing second opinions to physicians with short clinical experience, thus improving significantly their diagnostic performance. Following this trend, an original integration of mobile app technology and well-known image processing algorithms allows the automatic analysis of pigmented skin lesions to help physicians apply a diagnostic method (Seven Point Check List) based on dermoscopy. The web-based platform makes the physician able to: i) store digital images captured by smartphones featured with a dermatoscope; ii) measure morphological and chromatic parameters of the skin lesion; iii) make a diagnostic decision according to the Seven Point Checklist method. A detailed description of the adopted techniques, together with the first validation results are reported.
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| 6. |
- Di Leo, Giuseppe, et al.
(författare)
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Smart Meters in Smart Cities : An Application of DLMS-COSEM on 169 MHz WM-Bus
- 2016
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Ingår i: Advanced Computer and Communication Engineering Technology. - Cham : Springer. - 9783319245829 ; , s. 735-746
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Konferensbidrag (refereegranskat)abstract
- Advanced Metering Infrastructures (AMI) are going to represent the backbone of all the Smart City projects where metering and other public services are supposed to be smart. The scenario proposed by OPEN METER project is taking shape in some urban areas where smart meters, concentrators and central access systems have been experiencing. In this paper some topics concerning the use of DLMS-COSEM (Device Language Message specification-Companion Specification for Energy Metering) protocol on a 169 MHz gateway network based on WM-bus for collecting and manage data coming from smart meters and other electronic devices are discussed by the authors. In particular, an innovative solution for water metering and the architecture of a data Central Access System, are described in detail.
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