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Liguori, Consolatina
Publikasjoner (8 av 8) Visa alla publikasjoner
Nie, Y., Sommella, P., O'Nils, M., Liguori, C. & Lundgren, J. (2019). Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks. In: : . Paper presented at IEEE International Conference on e-Health and Bioengineering 2019.
Åpne denne publikasjonen i ny fane eller vindu >>Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks
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2019 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In the past three years, deep convolutional neural networks (DCNNs) have achieved promising performance in detecting skin cancer. However, improving the accuracy and efficiency of the automatic detection of melanoma is still urgent due to the visual similarity of benign and malignant dermoscopy. There is also a need for fast and computationally effective systems for mobile applications targeting caregivers and homes. This paper presents the You Only Look Once (Yolo) algorithms, which are based on DCNNs applied to the detection of melanoma. The Yolo algorithms comprise YoloV1, YoloV2, and YoloV3, whose methodology first resets the input image size and then divides the image into several cells. According to the position of the detected object in the cell, the network will try to predict the bounding box of the object and the class confidence score. Our test results indicate that the mean average precision (mAP) of Yolo can exceed 0.82 with a training set of only 200 images, proving that this method has great advantages for detecting melanoma in lightweight system applications.

HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-38154 (URN)
Konferanse
IEEE International Conference on e-Health and Bioengineering 2019
Forskningsfinansiär
European Regional Development Fund (ERDF)
Tilgjengelig fra: 2019-12-19 Laget: 2019-12-19 Sist oppdatert: 2019-12-19
Liguori, C., Ruggiero, A., Russo, D. & Sommella, P. (2017). Estimation of the minimum measurement time interval in acoustic noise. Applied Acoustics, 127, 126-132
Åpne denne publikasjonen i ny fane eller vindu >>Estimation of the minimum measurement time interval in acoustic noise
2017 (engelsk)Inngår i: Applied Acoustics, ISSN 0003-682X, E-ISSN 1872-910X, Vol. 127, s. 126-132Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The appropriate choice of the minimum measurement time interval is introduced for an accurate estimation of environmental noise indicators. The proposal is based on a bootstrap approach for the continuous estimation of measurement uncertainty in order to determine the statistical variability of the acquired sound pressure levels. Experimental results concerning the adoption of the proposed method regarding environmental noise from three different sources (road traffic, outdoor air conditioner fan motor and construction site) confirm the reliability of the proposal and its feasibility in evaluating the equivalent sound pressure level of an acoustic phenomenon using short-term indicators. 

Emneord
Bootstrap method, Measurement time interval, Measurement uncertainty, Noise control, Statistical analysis
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-33318 (URN)10.1016/j.apacoust.2017.05.032 (DOI)000406894900013 ()2-s2.0-85020460200 (Scopus ID)
Merknad

Available online 7 June 2017

Tilgjengelig fra: 2018-03-22 Laget: 2018-03-22 Sist oppdatert: 2018-09-05bibliografisk kontrollert
Liguori, C., Paolillo, A., Ruggiero, A. & Russo, D. (2016). A Preliminary Study on the Estimation of the Uncertainty of Traffic Noise Measurements. In: Instrumentation and Measurement Technology Conference Proceedings (I2MTC): . Paper presented at 2016 IEEE International Instrumentation and Measurement Technology Conference.
Åpne denne publikasjonen i ny fane eller vindu >>A Preliminary Study on the Estimation of the Uncertainty of Traffic Noise Measurements
2016 (engelsk)Inngår i: Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The environmental acoustic noise is considered as a big risk for today's population health. Consequently, the regulations in many countries commit themselves to control the exposition of people, imposing limits to the noise level. In the comparison between the measured value and the threshold, the uncertainty of the measured value has to be taken into account. In this paper, a procedure for the evaluation of the uncertainty of traffic noise measurements due to the variability of the measurand is proposed. In particular, after possible outliers have been identified and removed, then the uncertainty is estimated on the `purified' signals by using the bootstrap-t method.

Identifikatorer
urn:nbn:se:miun:diva-30419 (URN)10.1109/I2MTC.2016.7520368 (DOI)STC (Lokal ID)978-1-4673-9220-4 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
2016 IEEE International Instrumentation and Measurement Technology Conference
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2017-03-07bibliografisk kontrollert
Di Caro, D., Liguori, C., Pietrosanto, A. & Sommella, P. (2016). Investigation of the NMR techniques to detect hidden defects in hazelnuts. In: International Instrumentation and Measurement Technology Conference Proceedings: . Paper presented at 2016 IEEE International Instrumentation and Measurement Technology Conference, Taipei International Convention CenterTaipei, Taiwan, 23 May 2016 through 26 May 2016.
Åpne denne publikasjonen i ny fane eller vindu >>Investigation of the NMR techniques to detect hidden defects in hazelnuts
2016 (engelsk)Inngår i: International Instrumentation and Measurement Technology Conference Proceedings, 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
Identifikatorer
urn:nbn:se:miun:diva-30417 (URN)10.1109/I2MTC.2016.7520399 (DOI)STC (Lokal ID)978-1-4673-9220-4 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
2016 IEEE International Instrumentation and Measurement Technology Conference, Taipei International Convention CenterTaipei, Taiwan, 23 May 2016 through 26 May 2016
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2017-03-07bibliografisk kontrollert
Liguori, C., Paolillo, A., Ruggiero, A. & Russo, D. (2016). L'incertezza nelle misure di rumore ambientale. Tutto misure, 1, 21-24
Åpne denne publikasjonen i ny fane eller vindu >>L'incertezza nelle misure di rumore ambientale
2016 (italiensk)Inngår i: Tutto misure, ISSN 2038-6974, Vol. 1, s. 21-24Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-30416 (URN)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2018-01-16bibliografisk kontrollert
Liguori, C., Paolillo, A., Ruggiero, A. & Russo, D. (2016). Outlier Detection for the Evaluation of the Measurement Uncertainty of Environmental Acoustic Noise. IEEE Transactions on Instrumentation and Measurement, 65(2), 234-242
Åpne denne publikasjonen i ny fane eller vindu >>Outlier Detection for the Evaluation of the Measurement Uncertainty of Environmental Acoustic Noise
2016 (engelsk)Inngår i: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 65, nr 2, s. 234-242Artikkel i tidsskrift (Fagfellevurdert) Published
Identifikatorer
urn:nbn:se:miun:diva-30418 (URN)10.1109/TIM.2015.2491038 (DOI)STC (Lokal ID)STC (Arkivnummer)STC (OAI)
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2017-11-29bibliografisk kontrollert
Betta, G., Capriglione, D., Corvino, M., Gasparetto, M., Liguori, C., Paolillo, A. & Zappa, E. (2016). Performance Evaluation of Face Classification Systems. In: Sulaiman, Hamzah Asyrani; Othman, Mohd Azlishah; Othman, Mohd Fairuz Iskandar; Rahim, Yahaya Abd; Pee, Naim Che (Ed.), Sulaiman H., Othman M., Othman M., Rahim Y., Pee N (Ed.), Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. Paper presented at 2nd International Conference on Communication and Computer Engineering, 9–11 June 2015, Phuket, Thailand (pp. 265-277).
Åpne denne publikasjonen i ny fane eller vindu >>Performance Evaluation of Face Classification Systems
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2016 (engelsk)Inngår i: Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015 / [ed] Sulaiman H., Othman M., Othman M., Rahim Y., Pee N, 2016, s. 265-277Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [sv]

In this paper face classification systems based on 3D images are compared in terms of classification and metrological performance in presence of image uncertainty. In previous papers the authors proposed a new approach to classification and recognition problems. It is based on the evaluation of the image uncertainty and on the exploitation of such information to provide the confidence level of classification results. Such approach is here adopted for comparing several 3D architectures, different for camera specifications and geometrical positioning, with the aims of quantifying their performance from a metrological point of view and of identifying the configuration able to optimize the result reliability.

Serie
Lecture Notes in Electrical Engineering ; 362
Identifikatorer
urn:nbn:se:miun:diva-30415 (URN)10.1007/978-3-319-24584-3_22 (DOI)STC (Lokal ID)978-3-319-24582-9 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
2nd International Conference on Communication and Computer Engineering, 9–11 June 2015, Phuket, Thailand
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2017-03-07bibliografisk kontrollert
Di Leo, G., Liguori, C., Paciello, V., Pietrosanto, A. & Sommella, P. (2016). Smart Meters in Smart Cities: An Application of DLMS-COSEM on 169 MHz WM-Bus. In: Sulaiman, Hamzah Asyrani; Othman, Mohd Azlishah; Othman, Mohd Fairuz Iskandar; Rahim, Yahaya Abd; Pee, Naim Che (Ed.), Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee (Ed.), Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015. Paper presented at 2nd International Conference on Communication and Computer Engineering, 9–11 June 2015, Phuket, Thailand (pp. 735-746). Springer
Åpne denne publikasjonen i ny fane eller vindu >>Smart Meters in Smart Cities: An Application of DLMS-COSEM on 169 MHz WM-Bus
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2016 (engelsk)Inngår i: Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015 / [ed] Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee, Springer, 2016, s. 735-746Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Springer, 2016
Serie
Lecture Notes in Electrical Engineering ; 362
Identifikatorer
urn:nbn:se:miun:diva-30413 (URN)10.1007/978-3-319-24584-3_62 (DOI)STC (Lokal ID)978-3-319-24582-9 (ISBN)STC (Arkivnummer)STC (OAI)
Konferanse
2nd International Conference on Communication and Computer Engineering, 9–11 June 2015, Phuket, Thailand
Tilgjengelig fra: 2017-03-07 Laget: 2017-03-07 Sist oppdatert: 2017-03-07bibliografisk kontrollert