2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)最新文献

{"title":"Stochastic Dosimetry applied on a low frequency Near-Field Source Scenario","authors":"M. Bonato, E. Chiaramello, S. Fiocchi, S. Gallucci, L. Dossi, G. Tognola, P. Ravazzani, M. Parazzini","doi":"10.1109/MELECON48756.2020.9140631","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140631","url":null,"abstract":"The present work aims to prove the validity of the well know stochastic dosimetry method for a low frequency near-field source exposure scenario. The interest in this thematic has grown since it was discovered that house electric devices could be significant for children ELF-MF levels of exposure. More in details, it was conducted the assessment of children exposure variability caused by 10000 different positions of a hairdryer as near-field source, in order to test the goodness of the method.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Localization of neural activity from neuromagnetic data using varying-support sources","authors":"C. Campi","doi":"10.1109/MELECON48756.2020.9140577","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140577","url":null,"abstract":"Magnetoencephalography (MEG) and Electroencephalography (EEG) measure in a non-invasive way the magnetic field and the electrical potential, respectively, induced by cerebral activity. These instruments have an outstanding temporal resolution and the recorded data could provide interesting insights of the dynamics of neural currents. In order to get reliable information on the unknown neural currents from the data, we need to solve a ill-posed inverse problem: the operator involved in the formulation of the model linking the neural activity and the measured data is such that the solution of the inversion problem is not unique and does not depend continuously on the data. Moreover, the choice of the model for the source deeply affects the representation of the solution: a distributed model for neural currents can encompass complex, spread brain activity but could be not accurate in the representation of focal brain activity, while the representation with dipolar sources could not represent properly the activity generated by patches of cortex. In this work we propose a modified version of the Particle Filter we employed so far for MEG data analysis: in this implementation the support of the sources is not more fixed to be a dipole but can change back and forth to be distributed, adapting itself among the time samples to the best configuration. We test the method with ad hoc synthetic data.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"6 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduced order thermal models for electronic devices","authors":"A. Buscarino, L. Fortuna, Carlo Famoso","doi":"10.1109/MELECON48756.2020.9140575","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140575","url":null,"abstract":"In this paper, a novel method to determine from experimental observations the thermal models of integrated devices is presented. In particular, we focus on experimental data providing the temperature distribution over the device surface and determine a model in which the spatial diffusion of heat loads is explicitly taken into account and modeled. The adoption of this approach leads to the possibility to sensibly reduce the order of complete thermal model, with respect to classical approaches, even considering numerically generated datasets.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122710123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of ionic channel currents under nsPEFs-stimulation by a circuital model of an excitable cell","authors":"P. Lamberti, V. Tucci, O. Zeni, S. Romeo","doi":"10.1109/MELECON48756.2020.9140604","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140604","url":null,"abstract":"In this paper, the circuital model of the plasma membrane of a giant squid axon, implementing the Hodgkin and Huxley equations for the initiation of action potentials, is adopted to analyze the behavior of ionic channel currents under ns pulsed electric fields (nsPEFs) stimuli. The time behavior of the currents of sodium, potassium and leakage channels is computed upon the application of liminal, subliminal and supraliminal, 100 ns long pulses. The here adopted approach allows to give insight into mechanistic details of electrostimulation of excitable cells by nsPEFs, that has been recently demonstrated by experimental studies.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122857391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LED junction temperature prediction using machine learning techniques","authors":"M. Merenda, Carlo Porcaro, F. D. Della Corte","doi":"10.1109/MELECON48756.2020.9140539","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140539","url":null,"abstract":"Light Emitting Diodes (LEDs) are the longest lasting source of artificial illumination whose duration can exceed 50.000 continuous working hours. Nevertheless, they show a gradual reduction of the luminous flux due to the increase of the device temperature. In this work, a Machine Learning algorithm will be introduced and discussed, able to predict the junction temperature value of a LED in real-time while connected in the end-user circuit, taking into account current and voltage flowing in the device and, further, the actual model and aging of the LED. The algorithm was implemented on a microcontroller, showing the feasibility of performing edge machine learning on tiny yet powerful devices.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132489367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fogging effect correction of Gafchromic HD-V2 film response for its use in high-dose radiotherapy","authors":"C. Calligaro, A. Parlato, E. Tomarchio","doi":"10.1109/MELECON48756.2020.9140609","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140609","url":null,"abstract":"GAFChromic® HD-V2 film is a reliable dose measurement device, thin, flexible, inexpensive, simple to use and easy to analyze. The response in terms of net absorbance with respect to absorbed dose was found to be linear in a large dose range, which supports the feasibility of using the film dosimeters in many applications, such as radiotherapy. For its use, a \"fogging\" effect must be take into account since film response changes with time. To determine a calibration curve valid for any time, fogging effect was investigated for more than 400 days. A correction procedure allows the use of HD-V2 film dosimeters in high-dose radiotheraphy, as brachytherapy, and quality assurance (QA) procedures.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128707969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of autoregressive forecasting models for market electricity price","authors":"A. Shikhina, A. Kochengin, G. Chrysostomou, V. Shikhin","doi":"10.1109/MELECON48756.2020.9140574","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140574","url":null,"abstract":"Forecast models of ARIMA-type been investigated in application to market electricity prices behavior prediction in the form of time series. Paper presents the results of the forecast achieved accuracy study for constructing forecast via autoregressive statistical models and their close derivatives. Rather detailed computational procedures presented and supplied with numerical results. Adequacy verification of forecast mathematical models with reference to historical natural data in the form of time series carried out with reference to numerical estimation of the standard error. The achieved accuracy level of the designed predictive models for electrical energy market were found through Belgorod region in European part of Russian coincides with published results over international energy markets in Europe, America and Australia. Comparative analysis and interpretation of mathematical models for prediction, both published and obtained in this work leads to the conclusion that increasing complexity of statistical autoregressive forecast models (complexity of structures, the number of unknown parameters, the combination of heterogeneous components, the introduction of correction coefficients) only in individual cases and slightly increases the prediction accuracy. It is concluded that essential step effect of the forecast accuracy can be obtain through composed modeling of dependent variable with reference to the most influenced factors, and the problem to be solved is the design of the aggregate model structure.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Planning of CHP-based Microgrids Considering DERs and Demand Response Programs","authors":"Saeid Qaeini, M. S. Nazar, M. Shafie‐khah, G. Osório, J. Catalão","doi":"10.1109/MELECON48756.2020.9140610","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140610","url":null,"abstract":"This work addresses a stochastic framework for optimal operation and long-term expansion planning of combined heat and power based microgrid as a part of an active distributing system. The microgrid utilizes renewable energy sources, electricity and heat generation units, energy storage systems, and demand response programs. The proposed model determines the optimal location and capacity of the electrical and thermal facilities, and it considers the impact of renewable energy sources and demand response on the expansion-planning problem. A stochastic mixed-integer linear programming formulation is utilized to minimize the investment and operation costs of system for five years. To evaluate the effectiveness of the proposed model, the algorithm is assessed for the 9-bus system and the 33-bus IEEE test systems. The results demonstrate that the utilization of the proposed algorithm reduces the operational cost and increases system revenues.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130645867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heart left ventricle segmentation in ultrasound images using deep learning","authors":"T. Šušteršič, Miloš Anić, N. Filipovic","doi":"10.1109/MELECON48756.2020.9140527","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140527","url":null,"abstract":"Automatic segmentation of the heart left ventricle (LV) is an important step in setting an adequate diagnostic in echocardiography. Some of the state-of-the-art methods for 2D segmentation include traditional methods like active shape models, active contours, level sets, Kalman filter etc., but also deep modern learning methods (i.e. convolutional neural networks), where accuracy usually surpasses the accuracy of traditional methods. Due to the promising results of convolutional neural network called U-net in different segmentation problems, we propose it for the extraction of the left heart ventricle. The results show that the network has been able to segment the left ventricle with the accuracy of around 83.5% on unseen data which surpasses the reported state-of-the-art results, even with a smaller database. Larger database will enable better learning that we are confident will contribute to even higher accuracy. Future work will include testing on larger databases in order to meet the needs for Big Data analysis, but pertain the accuracy and reduce the time necessary for manual analysis of images.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128144588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Highly-Configurable Full-Field Stimulus Source for Electroretinography","authors":"Giulia Crocioni, G. Gruosso, J. Hetling","doi":"10.1109/MELECON48756.2020.9140495","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140495","url":null,"abstract":"The electroretinogram (ERG) is a functional test widely used in clinical practice to help diagnose diseases of the retina and optic nerve. In fact, it measures the electrical response to a light stimulus of retinal cells, and different ERG tests can be used to probe different retinal areas and cells.The stimulators most commonly used in visual electrophysiology are Ganzfeld stimulators, spherical devices used to perform full-field ERG, and flat monitors, which are not suited for the detection of peripheral early disfunctions, since they do not probe the entire human visual field. Clinical stimulators can use different technologies, but light emitting diodes (LEDs) are becoming very popular since they are almost ideal light sources. Recently, a three dimensional stimulus source based on LEDs able to perform peripheral pattern ERG (ppERG) has been developed.In this paper, a highly-configurable full-field stimulus source for electroretinography based on LEDs is presented. It is capable of presenting an arbitrary pattern of pixels to the entire visual field of a test subject, thus bringing together the functionalities of the existing stimulators. The pattern of pixels is configurable to present stimuli for multiple ERG protocols to any arbitrary sector of the visual field, giving also the possibility to use different colours. The device structure was designed in order to obtain uniform luminance stimuli and minimal light reflection. Moreover, programming and control of the device was widely explored, with a special focus on the development of an electronic design flexible enough to allow the implementation of different ERG protocols. Luminance uniformity of the device was analysed, obtaining satisfactory results. Considering the colour channel of greatest interest for pattern ERG (pERG) protocol, the contrast between black and white checks was much higher than the minimum 80% required by the standards. Finally, the prototyped device was able to elicit consistent flicker ERG and full-field ERG responses in a healthy volunteer subject.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116901399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}