Mid Sweden University

miun.sePublications
Change search
Refine search result
1 - 32 of 32
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1. Abate, F.
    et al.
    Carratu, M.
    Liguori, Consolatina
    University of Salerno .
    Pietrosanto, A.
    Smart meters and water leakage detection: A preliminary study2019In: I2MTC 2019  Proceedings, 2019, article id 8827020Conference paper (Refereed)
    Abstract [en]

    The paper deals with water leakage beyond the meter at household level. The automatic leakage detection is emerging as priority task for scientists and technicians. Each possible solution must include the use of smart meters for the continuous survey of domestic water consumption. Water smart meters aren't widespread yet, and the few either are prototypes or exhibit not adequate battery and communication performance. The authors, participants to the EMPIR 17IND13 Metrowamet project, propose an embedded system that can work with different water sensors, whose characteristics have been suitably designed for respecting stringent requirements of energy efficiency, computational burden and wireless transmission capability. 

  • 2. Betta, G.
    et al.
    Capriglione, D.
    Salone, M.
    Amata, D.
    Liguori, Consolatina
    Zappa, E.
    Characterization of 3D Image-Based Biometric Systems in Dynamic Acquisition Conditions2021In: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper (Refereed)
    Abstract [en]

    The paper focuses on the analysis of biometric measurements in dynamic acquisition conditions and their impact on the reliability of the recognition judgments. To this aim, a suitable simulator of stereoscopic systems has been designed and realized. It relies on a fully simulated procedure based on the following steps: (i) generation of a set of realistic 3D face models through a proper face simulator software; (ii) definition of an arbitrary trajectory for the face models and stereo images to simulate a set of images acquired in different poses (positions and orientations) of the subject during the movement; (iii) addition of selectable levels of motion blur in a controlled environment, to simulate critical acquisition conditions. This procedure allows ensuring that the recognition results are not due to the natural change of expression of real faces or an imperfect image acquisition device. Moreover, every face model is moved exactly with the same trajectory in front of the stereoscopic system, allowing compare the recognition performances all along the trajectory, also in controlled and under repeatable blur levels. A face biometrics procedure, based on a popular recognition algorithm, is then run on the generated images and the recognition performances are analyzed in detail. The achieved results demonstrated how the motion blur and also the slight differences between the acquired images and the reference ones significantly affect the performance in the recognition of such kinds of systems, thus confirming the usefulness of the proposed simulator. © 2021 IEEE.

  • 3. Betta, Giovanni
    et al.
    Capriglione, Domenico
    Corvino, Mariella
    Gasparetto, Michele
    Liguori, Consolatina
    Paolillo, Alfredo
    Zappa, Emanuele
    Performance Evaluation of Face Classification Systems2016In: Advanced Computer and Communication Engineering Technology: Proceedings of ICOCOE 2015 / [ed] Sulaiman H., Othman M., Othman M., Rahim Y., Pee N, 2016, p. 265-277Conference paper (Refereed)
    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.

  • 4.
    Brugés Martelo, Javier Mauricio
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Thim, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Andersson, Mattias
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
    Liguori, Consolatina
    Department of Industrial Engineering (DIIn), University of Salerno, Fisciano, SA, Italy .
    Three-dimensional scanning electron microscopy used as a profilometer for the surface characterization of polyethylene-coated paperboard2021In: Nordic Pulp & Paper Research Journal, ISSN 0283-2631, Vol. 36, no 2, p. 276-283Article in journal (Refereed)
    Abstract [en]

    In food packaging, low-density polyethylene (PE) coating is applied to paperboards to act as a functional barrier and to provide the smoothness required to enhance printability. These characteristics are related to the material’s surface roughness, the parameter monitored during the manufacturing process. Measurement of surface roughness using optical profilometry has gained importance in the paper industry. The optical instruments used to measure surface roughness are limited spatially by the relationship with the light wavelength at which they operate. A scanning electron microscope (SEM) is an alternative for overcoming the spatial resolution limitation, and the use of stereo-photogrammetry on SEM images can be seen as an alternative profilometry technique to measure surface roughness. In this investigation, the surface topography of industrially manufactured high-quality PE-coated paperboard was studied, comparing the SEM stereo-photogrammetry technique with a reference profilometry method, i. e., chromatic confocal microscopy (CCM). We found close agreement between the calculated surface roughness and the results of the techniques used and compared them according to the new ISO 25178 Geometric Product Specifications. We concluded that SEM stereo-photogrammetry provides comparable accurate alternative profilometry method for characterizing the surface roughness of PE-coated paperboard in the micrometer scale.

    Download full text (pdf)
    fulltext
  • 5. Cacciapuoti, S.
    et al.
    Di Leo, G.
    Ferro, M.
    Liguori, Consolatina
    University of Salerno, Fisciano, SA, Italy.
    Masarà, A.
    Scalvenzi, M.
    Sommella, P.
    Fabbrocini, G.
    A measurement software for professional training in early detection of melanoma2020In: Applied Sciences, E-ISSN 2076-3417, Vol. 10, no 12, article id 4351Article in journal (Refereed)
    Abstract [en]

    Software systems have been long introduced as support to the early detection of melanoma through the automatic analysis of suspicious skin lesions. Nevertheless, their behavior is not yet similar to the performance exhibited by expert dermatologists in terms of diagnostic accuracy. Instead, a software system should be adopted by non-experienced dermatologists in order to improve the measurement and detection results for skin atypical patterns and the accuracy of the corresponding second opinion. This paper describes an image-based measurement and classification system able to score pigmented skin lesions according to the Seven-Point Check-list diagnostic method. Focus is devoted to the measurement procedure of biological structures more closely related to the atypical character of the nevus. Moreover, the performances of the measurement system are evaluated by considering the support to dermatologists with different experiences during the clinical activity. © 2020 by the authors.

  • 6.
    Caro, D. D.
    et al.
    Department of Industrial Engineering, University of Salerno, Fisciano, SA, Italy.
    Liguori, Consolatina
    Department of Industrial Engineering, University of Salerno, Fisciano, SA, Italy.
    Pietrosanto, A.
    Department of Industrial Engineering, University of Salerno, Fisciano, SA, Italy.
    Sommella, P.
    Department of Industrial Engineering, University of Salerno, Fisciano, SA, Italy.
    A low-cost device for beer color measurement2019In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2019, p. 222-226Conference paper (Refereed)
    Abstract [en]

    Color is an important quality parameter in the beer production. It is usually measured by means of a spectrophotometric method that has been adopted as an international standard by the main brewers associations in the world. The instruments based on this method are always present in the quality laboratory of the industrial breweries, but their cost is often not affordable for the microbreweries that need inexpensive solutions to evaluate the quality parameters of their processes and products. In this work, a low-cost spectrophotometer for the measurement of the color of beer, based on the European Brewery Convention (EBC) international method, is proposed. © 2019 IEEE.

  • 7.
    Carratu, M.
    et al.
    University of Salerno, Fisciano, ITALY.
    Iacono, S. D.
    Di Leo, G.
    Liguori, Consolatina
    University of Salerno, Fisciano, ITALY.
    Pietrosanto, A.
    Image based similarity detection in mechanical registers2020In: Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2020Conference paper (Refereed)
    Abstract [en]

    Water leakage detection at the household level is going to become one of the most challenging goals in the fields of water metering and smart sensors. While sudden leakage seems to be easier to be noted, the small one is giving researchers a hard time. The main topic of this paper is the digital processing of mechanical register images to provide water flow rate metrics, which can allow small leakage detection. The register images are automatically gathered by an electronic add-on device, which is also featured with a short range antenna to communicate with a gateway. The image processing techniques and experimental test results are finally presented and discussed. The authors' research is funded by the European Association of National Metrology Institutes (EURAMET) within the European Metrology Program for Innovation and Research (EMPIR). © 2020 IEEE.

  • 8.
    Carratu, Marco
    et al.
    University of Salerno, Italy.
    Liguori, Consolatina
    University of Salerno, Italy.
    Pietrosanto, Antonio
    University of Salerno, Italy; SPRING OFF srl, Italy.
    O'Nils, Mattias
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Lundgren, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Data Fusion for Timber Bundle Volume Measurement2019Conference paper (Refereed)
  • 9.
    Carratú, Marco
    et al.
    University of Salerno.
    Liguori, Consolatina
    University of Salerno.
    Pietrosanto, Antonio
    University of Salerno.
    O'Nils, Mattias
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Lundgren, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    A novel IVS procedure for handling Big Data with Artificial Neural Networks2020In: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE, 2020Conference paper (Refereed)
    Abstract [en]

    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.

  • 10. Dello Iacono, S.
    et al.
    Erra, A.
    Pietrosanto, A.
    Di Caro, D.
    Liguori, Consolatina
    University of Salerno, Fisciano, ITALY.
    PH strip reader for beer samples based on image analysis2020In: Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 319-322Conference paper (Refereed)
    Abstract [en]

    The measurement of pH is widely used in a number of sectors and applications to evaluate the alkaline or acidic level of aqueous solutions. Among the measurement methods, pH strips are widespread and affordable, although they have a limited accuracy compared to the pH meters. In this work, a method to evaluate the pH value of a test strip, based on image analysis, is presented. The proposed method exploits the color analysis to simplify the use and to improve the nominal accuracy of the test strips. The tests have taken into account the typical pH range in the production of beer, but the method can be extended on the whole range of pH values. © 2020 IEEE.

  • 11. Di Caro, D.
    et al.
    Liguori, Consolatina
    University of Salerno.
    Pietrosanto, A.
    Sommella, P.
    Quality Assessment of the Inshell Hazelnuts Based on TD-NMR Analysis2020In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 69, no 6, p. 3770-3779, article id 8794590Article in journal (Refereed)
    Abstract [en]

    Nondestructive testing is critical in the quality detection of products. Among several techniques, time-domain nuclear magnetic resonance (TD-NMR) is gaining attention in the field of food quality control, thanks to its ability to detect liquid and solid materials, which are strictly related to the quality of some kinds of products. In this article, a novel method for the inline quality evaluation of the inshell hazelnuts, based on TD-NMR analysis, is disclosed. Different studies have been carried out on the quality control of hazelnuts or, more in general, shell fruit. They usually focus on laboratory application and the analysis of a single physical property. Conversely, the proposed method focuses on the signal processing with the aim of reducing the execution time making the procedure suitable for an inline application. Moreover, the main hidden defects are analyzed together to identify the defective nuts from the good ones in a two-class classification procedure. © 1963-2012 IEEE.

  • 12. Di Caro, Domenico
    et al.
    Liguori, Consolatina
    Pietrosanto, Antonio
    Sommella, Paolo
    Investigation of the NMR techniques to detect hidden defects in hazelnuts2016In: International Instrumentation and Measurement Technology Conference Proceedings, 2016Conference paper (Refereed)
  • 13. Di Leo, G.
    et al.
    Ferro, M.
    Liguori, Consolatina
    University of Salerno .
    Pietrosanto, A.
    Paciello, V.
    Smart Devices and Services for Smart City2019In: Proceedings, 2019Conference paper (Refereed)
    Abstract [en]

    Citizen quality of life can be improved through facilities and services that have been thought to ease citizen interaction with municipal authorities, offices and structures. All technologies and devices, used for developing these facilities, are the pillars of the Smart City idea: a City that adapts itself, at least in part, to citizens’ needs. Advanced Metering Infrastructure (AMI) could become the backbone of all the smart city projects. Other public services can be loaded on AMI’s to be smart and thus helping to find the affordability of investments. The paper deals with this topic by describing devices and results of a pilot project, which has been carried out in an Italian middle city (Salerno), to experience the use of RF 169MHz wM-bus based AMI. Experimental results regarding a set of about 2500 installed devices for gas and water metering, car parking management and elder tele-assistance, will be reported in detail to show convenience and problems of this approach.

  • 14. Di Leo, G.
    et al.
    Ferro, M.
    Liguori, Consolatina
    Pietrosanto, A.
    Paciello, V.
    Wireless Sensor Network in Smart City Pilots: The Case of Salerno in Italy (from 2015 to 2019)2021In: Public Adm. Inf. Technol., Springer , 2021, p. 303-322Conference paper (Refereed)
    Abstract [en]

    Citizen quality of life can be improved through facilities and services that must be thought to ease citizen interaction with municipal authorities, offices, and structures. Advanced metering infrastructures (AMIs) can be proposed as the backbone of smart city projects. The chapter deals with this topic by describing devices and results of a pilot project designed and carried out by the authors for experiencing the RF 169 MHz wM-Bus in AMI. The AMI was installed in Salerno, an Italian middle city of about 1,40,000 inhabitants and covering a land area of 58.96 km2. Five public services have been loaded on the AMI to help find the affordability of necessary investments: gas and water metering, car parking management, elder tele-assistance, and pollution measurements. The pilot project has involved the 1.5% of the citizens in 11 city districts. Results provided a great amount of data and information about reliability and efficiency of devices and networks and have been held into account by the authors of the national standard on the shared management of the 169 MHz frequency band (UNI CEI TS 11762:2019). These results let understand that in the next future solutions like those described in the chapter can become products and services available for all citizens. © 2021, Springer Nature Switzerland AG.

  • 15. Di Leo, Giuseppe
    et al.
    Liguori, Consolatina
    Paciello, Vincenzo
    Pietrosanto, Antonio
    Sommella, Paolo
    Smart Meters in Smart Cities: An Application of DLMS-COSEM on 169 MHz WM-Bus2016In: 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, p. 735-746Conference paper (Refereed)
    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.

  • 16. Iacono, S. D.
    et al.
    Di Leo, G.
    Liguori, Consolatina
    Computational imaging for drill bit wear estimation2021In: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper (Refereed)
    Abstract [en]

    Aerospace and automotive industries make more and more use of carbon fiber laminates. They offer high advantages in terms of mechanical performance but are difficult to work on and need precise and expensive tools. Drilling is the most common operation; drill bits must be accurately verified before use to avoid damages during the process. This paper proposes an optical inspection system for drill bits wearing estimation based on a custom-designed illumination device and a processing algorithm based on computational imaging. The elaboration of the computational image is used to measure the drill bit cutting profile. Drill bits have been worn on carbon fiber laminates, and a tool wear model has been extracted using the proposed system. The proposed method has been tested on both used and new drill bits, used in the aerospace industry. © 2021 IEEE.

  • 17.
    Jiang, Meng
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Lundgren, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Pasha, Shahab
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Carratù, Marco
    University of Salerno.
    Liguori, Consolatina
    University of Salerno.
    Thungström, Göran
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Indoor Silent Object Localization using Ambient Acoustic Noise Fingerprinting2020In: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE, 2020Conference paper (Refereed)
    Abstract [en]

    Indoor localization has been a popular research subject in recent years. Usually, object localization using sound involves devices on the objects, acquiring data from stationary sound sources, or by localizing the objects with external sensors when the object generates sounds. Indoor localization systems using microphones have traditionally also used systems with several microphones, setting the limitations on cost efficiency and required space for the systems. In this paper, the goal is to investigate whether it is possible for a stationary system to localize a silent object in a room, with only one microphone and ambient noise as information carrier. A subtraction method has been combined with a fingerprint technique, to define and distinguish the noise absorption characteristic of the silent object in the frequency domain for different object positions. The absorption characteristics of several positions of the object is taken as comparison references, serving as fingerprints of known positions for an object. With the experiment result, the tentative idea has been verified as feasible, and noise signal based lateral localization of silent objects can be achieved.

  • 18. Lay-Ekuakille, A.
    et al.
    Ugwiri, M. A.
    Liguori, Consolatina
    Singh, S. P.
    Rahman, M. Z. U.
    Veneziano, D.
    Medical image measurement and characterization: Extracting mechanical and thermal stresses for surgery2021In: Metrology and Measurement Systems, ISSN 0860-8229, Vol. 28, no 1, p. 3-21Article in journal (Refereed)
    Abstract [en]

    Whatever the type of surgery related to inner organs, traditional or robotic, the contact with them during surgery is a key moment for pursuing the intervention. Contacts by means of surgery instruments namely scalpels, staples, clamps, graspers, etc. are decisive moments. False, and erroneous touching and manoeuvring of organs operated on can cause irreversible damage as regard morphological aspects (outer impact) and physiological aspects (inner impact). The topic is a great challenge in the effort to measure and characterize damages. In general, electrical instruments for surgery employ the following technologies: Ultrasound, radiofrequency (monopolar, and bipolar), and laser. They all result in thermal damages difficult to evaluate. The article proposes a method for a pre-screening of organ features during robotic surgery sessions by pointing out mechanical and thermal stresses. A dedicated modelling has been developed based on experimental activities during surgery session. The idea is to model tissue behaviour from real images to help surgeons to be aware of handling during surgery. This is the first step for generalization by considering the type of organ. The measurement acquisitions have been performed by means of an advanced external camera located over the surgery quadrant. The modelling and testing have been carried out on kidneys. The modelling, carried out through Comsol Multiphysics, is based on the bioheat approach. A further comparative technique has been implemented. It is based on computer vision for robotics. The findings of human tissue behavior exhibit reliable results. © 2021. The Author(s).

  • 19. Lay-Ekuakille, A.
    et al.
    Ugwiri, M. A.
    Okitadiowo, J. P. D.
    Telesca, V.
    Picuno, P.
    Liguori, Consolatina
    University of Salerno.
    Singh, S.
    SAR sensors measurements for environmental classification: Machine learning-based performances2020In: IEEE Instrumentation & Measurement Magazine, ISSN 1094-6969, E-ISSN 1941-0123, Vol. 23, no 6, p. 23-30, article id 9200877Article in journal (Refereed)
    Abstract [en]

    Artificial intelligence, in particular a supervised and unsupervised machine learning approach, has been becoming an interest in the field of measurement and instrumentation. Many problems of classification can be faced by a machine learning approach. We know machine learning is a broad area of artificial intelligence that comprises some other lines of research and activities such as deep learning. Synthetic aperture radar (SAR) measurements by means of its sensors are of great interest in environmental monitoring, in particular in land classification. This paper presents findings related to measurements and characterization through land classification of an environmentally sensitive area in Italy over two different time periods in order to assess changing parameters. A deep learning algorithm has been designed and implemented, and a comparison has been established with a spectral density approach.

  • 20.
    Lay-Ekuakille, Aime
    et al.
    Univ Salento, Dept Innovat Engn, Lecce, Italy..
    Ugwiri, Moise Avoci
    Univ Salento, Ind Dept, Lecce, Italy..
    Di Paola, Marco
    CNR, Inst Clin Physiol, Lecce, Italy..
    Conversano, Francesco
    CNR, Inst Clin Physiol, Lecce, Italy..
    Casciaro, Sergio
    CNR, Inst Clin Physiol, Lecce, Italy.;Biomed Engn Sci & Technol Div, Lecce, Italy.;Nanoimaging Ultrasound Lab Nonionizing Cellular &, Lecce, Italy..
    Liguori, Consolatina
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Univ Salerno, Elect & Elect Measurements, Lecce, Italy.;UNISA SPRING OFF Srl, Adelaide, SA, Australia.;Metering Res Srl, Penta, SA, Italy.;Hippocratica Imaging, Salerno, Italy..
    Bhateja, Vikrant
    SR MGPC, Dept ECE, Lucknow, Uttar Pradesh, India..
    Functionalized Nanoparticles for Characterization Through TEM Images: Comparison Between Two Innovative Techniques2021In: IEEE Instrumentation & Measurement Magazine, ISSN 1094-6969, E-ISSN 1941-0123, Vol. 24, no 4, p. 29-34Article in journal (Refereed)
  • 21.
    Lay-Ekuakille, Aime
    et al.
    Univ Salento, Dept Innovat Engn, Lecce, LE, Italy.;Univ Salento, Instrumentat & Measurement Lab 1, Lecce, LE, Italy..
    Ugwiri, Moise Avoci
    Univ Salerno, Ind Dept, Fisciano, SA, Italy..
    Okitadiowo, John Peter Djungha
    Bel Campus Univ Technol, Kinshasa, DEM REP CONGO..
    Telesca, Vito
    Univ Basilicata, Potenza, PZ, Italy..
    Picuno, Pietro
    Univ Basilicata, Agr Engn, Potenza, PZ, Italy..
    Liguori, Consolatina
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Univ Salerno, Elect & Elect Measurements, Fisciano, SA, Italy..
    Singh, Satya
    Nanyang Technol Univ, Singapore, Singapore..
    SAR sensors measurements for environmental classification: Machine learning-based performances2020In: IEEE Instrumentation & Measurement Magazine, ISSN 1094-6969, E-ISSN 1941-0123, Vol. 23, no 6, p. 23-30Article in journal (Refereed)
    Abstract [en]

    Artificial intelligence, in particular a supervised and unsupervised machine learning approach, has been becoming an interest in the field of measurement and instrumentation. Many problems of classification can be faced by a machine learning approach. We know machine learning is a broad area of artificial intelligence that comprises some other lines of research and activities such as deep learning. Synthetic aperture radar (SAR) measurements by means of its sensors are of great interest in environmental monitoring, in particular in land classification. This paper presents findings related to measurements and characterization through land classification of an environmentally sensitive area in Italy over two different time periods in order to assess changing parameters. A deep learning algorithm has been designed and implemented, and a comparison has been established with a spectral density approach.

  • 22. Leo, G. D.
    et al.
    Liguori, Consolatina
    University of Salerno.
    Ruggiero, A.
    Russo, D.
    Sommella, P.
    Accurate measurement of Kinetic Friction Coefficient by using two types of tribometer2019In: I2MTC 2019 Proceedings, 2019, article id 8827060Conference paper (Refereed)
    Abstract [en]

    Tribological tests are adopted to estimate the kinetic friction coefficient of the material of interest according to the ASTM standard. Typically, for the measurement process, several replicas as well as a post-processing data treatment are necessary to take into account the observed casual variability of the measurand. The paper describes a statistical approach for both Time and Frequency Domain analysis, aiming to highlight the most significant time intervals during each test replica. Experimental activity has been carried out by performing multiple tests through two different tribometers (ball-on-flat and ball-on-disk configurations) in order to verify the improvement allowed by the authors' proposal about the dry friction coefficient measurement in terms of both accuracy and reliability. 

  • 23. Liguori, Consolatina
    et al.
    Paolillo, Alfredo
    Ruggiero, Alessandro
    Russo, Domenico
    A Preliminary Study on the Estimation of the Uncertainty of Traffic Noise Measurements2016In: Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016Conference paper (Refereed)
    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.

  • 24.
    Liguori, Consolatina
    et al.
    DIIn, University of Salerno, Fisciano, Italy.
    Paolillo, Alfredo
    DIIn, University of Salerno, Fisciano, Italy.
    Ruggiero, Alessandro
    DIIn, University of Salerno, Fisciano, Italy.
    Russo, Domenico
    DIIn, University of Salerno, Fisciano, Italy.
    L'incertezza nelle misure di rumore ambientale2016In: Tutto misure, ISSN 2038-6974, Vol. 1, p. 21-24Article in journal (Refereed)
  • 25. Liguori, Consolatina
    et al.
    Paolillo, Alfredo
    Ruggiero, Alessandro
    Russo, Domenico
    Outlier Detection for the Evaluation of the Measurement Uncertainty of Environmental Acoustic Noise2016In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 65, no 2, p. 234-242Article in journal (Refereed)
  • 26. Liguori, Consolatina
    et al.
    Ruggiero, A.
    Russo, D.
    Sommella, P.
    A Commentary on the Role of Noise Measurement Uncertainty in the Industrial Context2021In: Lect. Notes Mech. Eng., Springer Science and Business Media Deutschland GmbH , 2021, p. 324-331Conference paper (Refereed)
    Abstract [en]

    This commentary highlights the importance of uncertainty and estimation associated with the measurement of noise levels in the industrial field. As example evaluating noise workers’ exposure in a workplace has to take into account levels of uncertainty. The authors investigated the effect of the variability of the measurand with respect to the uncertainty of the measurement and proposed a novel data-driven sampling approach which consists of three phases. Firstly, because the reliability of the noise indicators assessment depends significantly on the temporal variability of the noise, a statistic procedure is proposed to locate a corresponding minimum number of sound pressure levels necessary for having statistical significance of the initial data set. Next, a numerical algorithm finds and deletes the anomalous values (outliers) from a population of real data. Finally, the inherent variability of uncertainty of acoustic noise is calculated using the normal bootstrap method. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

  • 27.
    Liguori, Consolatina
    et al.
    University of Salerno, Fisciano, ITALY.
    Ruggiero, A.
    Russo, D.
    Sommella, P.
    A Statistical Approach for Improving the Accuracy of Dry Friction Coefficient Measurement2019In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 68, no 5, p. 1412-1423, article id 8684274Article in journal (Refereed)
  • 28.
    Liguori, Consolatina
    et al.
    University of Salerno, Fisciano (SA), Italy.
    Ruggiero, Alessandro
    University of Salerno, Fisciano (SA), Italy.
    Russo, Domenico
    University of Salerno, Fisciano (SA), Italy.
    Sommella, Paolo
    University of Salerno, Fisciano (SA), Italy.
    Estimation of the minimum measurement time interval in acoustic noise2017In: Applied Acoustics, ISSN 0003-682X, E-ISSN 1872-910X, Vol. 127, p. 126-132Article in journal (Refereed)
    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. 

  • 29.
    Liguori, Consolatina
    et al.
    University of Salerno, Fisciano, SA, Italy.
    Ruggiero, Alessandro
    University of Salerno, Fisciano, SA, Italy.
    Russo, Domenico
    University of Salerno, Fisciano, SA, Italy.
    Sommella, Paolo
    University of Salerno, Fisciano, SA, Italy.
    Lundgren, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Proposal for the automatic evaluation of workers' exposure to acoustic noise following task-based approach2021In: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 173, article id 108534Article in journal (Refereed)
    Abstract [en]

    Accurate measurement of exposure to noise in the workplace is important for employee health prevention as well as cost implications for employers. Standard ISO 9612 employs an engineering methodology for estimating noise exposure levels including levels of uncertainty. In this procedure some aspects are left to the discretion of the operator. Beginning with preliminary studies on the determination of the measurement intervals for evaluating workers' exposure to noise, this paper proposes an innovative approach to estimating work conditions for bus drivers. Measurement results are analysed and compared to the estimations based on both the ISO 9612 and the continuous acquisition analysis showing the feasibility of the proposal for accurately measuring the exposure to acoustic noise in a typical work situation. 

  • 30.
    Nie, Yali
    et al.
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Sommella, Paolo
    University of Salerno, Italy.
    O'Nils, Mattias
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Liguori, Consolatina
    University of Salerno, Italy.
    Lundgren, Jan
    Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
    Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks2019In: 2019 E-Health and Bioengineering Conference (EHB), IEEE, 2019Conference paper (Refereed)
    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.

    Download full text (pdf)
    fulltext
  • 31. Ruggiero, A.
    et al.
    Di Leo, G.
    Liguori, Consolatina
    University of Salerno.
    Russo, D.
    Sommella, P.
    Accurate Measurement of Reciprocating Kinetic Friction Coefficient through Automatic Detection of the Running-In2020In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 69, no 5, p. 2398-2407, article id 8999590Article in journal (Refereed)
    Abstract [en]

    Tribological tests are adopted to estimate the kinetic friction coefficient (COF) of the material of interest according to the American Society for Testing and Materials (ASTM) standard. Typically, for the measurement process, several replicas, as well as a postprocessing data treatment, are necessary to take into account the observed casual variability of the measurand. This article describes a statistical approach aiming to highlight the running-in phase and the most significant time intervals during the steady-state for each test replica. A two-steps procedure based on the adoption of the bootstrap method allows the automatic detection of the running-in time interval and the outlier filtering of the steady-state. Experimental activity has been carried out by performing multiple tests through the ball-on-flat tribometer in order to verify the improvement allowed by the authors' proposal about the dry friction COF measurement in terms of both accuracy and repeatability. © 1963-2012 IEEE.

  • 32. Ugwiri, M. A.
    et al.
    Carratu, M.
    Paciello, V.
    Liguori, Consolatina
    University of Salerno.
    Spectral negentropy and kurtogram performance comparison for bearing fault diagnosis2020In: Proceedings, International Measurement Confederation (IMEKO) , 2020, p. 105-110Conference paper (Refereed)
    Abstract [en]

    While investigating rotating faults in vibration signals, one of the typical symptoms is the presence of repetitive transients, which are characterized by impulsive and cyclostationarity signature. The approach quite popular nowadays in the industry for their detection is time-frequency techniques. Those techniques are mainly analysis tools as opposed to processing tools, and in any case, are unable to offer a versatile methodology that applies to all mechanical signals in all circumstances. The paper is motivated by ideas borrowed from thermodynamics, where transients are seen as departures from a state of equilibrium; it is proposed to measure the negentropy of the squared envelope (SE) and the squared envelope spectrum (SES) of the signal. The main objective of the work is to investigate connections in both negentropy and kurtogram approaches to capture the signature of this repetitive behavior. The methodology used in this paper proposes to display spectral negentropy as images. The impulsive events are then detected and localized in frequency by high values of the squared envelope spectrum (SES) infogram in some frequency bands. In order to analyze the signal in the frequency domain, the Short-Time Fourier Transform (STFT) can then be used. The STFT is suggested in this study due to its simplicity and high flexibility. On the other hand, STFT is used for the analysis of kurtosis of temporal signals; this is well known as Kurtogram. For fault, such as bearings, Kurtogram was demonstrated to be efficient. 

1 - 32 of 32
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf