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Deep Learning to Robustify a Geometric Interpretation of Trilateration for 3D RSS-based Localization 基于rss的三维定位中基于深度学习的几何解释鲁棒化
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842872
H. M. Le, D. Slock, J. Rossi
{"title":"Deep Learning to Robustify a Geometric Interpretation of Trilateration for 3D RSS-based Localization","authors":"H. M. Le, D. Slock, J. Rossi","doi":"10.1109/MELECON53508.2022.9842872","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842872","url":null,"abstract":"Received Signal Strength (RSS) is ubiquitous in wireless communications. Despite the low accuracy, it is still attractive because of the simplicity and the ready availability in nearly every wireless system without any additional hardware or software required. This paper develops a geometric interpretation of trilateration in RSS-based 3D localization, which is presented in a previous paper but in 2D scenarios. In addition, to correct the final estimates, an iterative Maximum Likelihood (ML) estimator for position estimation is presented. The Artificial Neural Networks (ANNs) are then applied in estimating the related parameters to robustify the performance of the algorithm. When compared to earlier methods, simulation results demonstrate a considerable boost in performance.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419080","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}
引用次数: 0
Exploring the Temperature-Dependent Goos-Hänchen Shift on a Metal Surface 探索金属表面温度相关的Goos-Hänchen位移
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843069
Aniqa Mehboob, F. Mangini, F. Frezza
{"title":"Exploring the Temperature-Dependent Goos-Hänchen Shift on a Metal Surface","authors":"Aniqa Mehboob, F. Mangini, F. Frezza","doi":"10.1109/MELECON53508.2022.9843069","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843069","url":null,"abstract":"The temperature-dependent Goos-Hänchen shift for the air-metal interface is explored in detail. We have described the initial observation of Goos-Hänchen shift for an electromagnetic wave thrown back from the air-metal interface, when the shift becomes a function of temperature due to the optical properties of the metal which depend upon temperature [1]. We have considered both transverse electric and magnetic modes in this study. We have taken on the Drude model to perform the analysis of temperature-dependent Goos-Hänchen shift [2]. The collision or damping frequency of the metal is found through Holstein’s and Lawrence’s results [3]. This study shows the remarkable value of Goos-Hänchen shift which can further lead us to build temperature-monitoring optical sensors [4].","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115930640","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}
引用次数: 1
Dealing with missing modalities at test time for land cover mapping: A case study on multi-source optical data 土地覆盖制图测试时缺失模态的处理:以多源光学数据为例
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842865
Y. J. E. Gbodjo, D. Ienco
{"title":"Dealing with missing modalities at test time for land cover mapping: A case study on multi-source optical data","authors":"Y. J. E. Gbodjo, D. Ienco","doi":"10.1109/MELECON53508.2022.9842865","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842865","url":null,"abstract":"In recent years, multiple sources of remote sensing data have become increasingly available to monitor Earth’s surface phenomena. However, unlike High Spatial Resolution (HSR) data, Very High Spatial Resolution (VHSR) satellite images remain difficult to collect over large areas due to acquisition costs and a smaller swath. This often compromises the simultaneous use of both sources of data over same study areas for many applications. In this work, we investigate a land cover mapping setting in which both HSR and VHSR are available at the learning stage of a deep neural network while only the HSR data is available at inference time for model inference. We thus propose simple but effective strategies for enhancing the land cover classification in this scenario of incomplete multi-source remote sensing data when the model is deployed.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961456","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}
引用次数: 0
Use of Multi-Temporal SAR Non-Local Mean Filtering Operations for Change Detection Analyses 利用多时相SAR非局部均值滤波操作进行变化检测分析
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842906
A. Pepe
{"title":"Use of Multi-Temporal SAR Non-Local Mean Filtering Operations for Change Detection Analyses","authors":"A. Pepe","doi":"10.1109/MELECON53508.2022.9842906","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842906","url":null,"abstract":"The exploitation of sequences of multi-temporal synthetic aperture radar (SAR) images for change detection analyses has become a common practice for the analysis of changes that occurred in different ecosystems. As the first step of any Change Detection approach is the reduction of the speckle effects in every single SAR image. Local and non-local filters have been properly designed to reduce the noise effects and make more efficient the retrieval of changed features. In this work, a joint space-time non-local mean filter, relying on the mutual exploitation of similarities in time and space, is applied to the Kerala region, India, to determine the areas and the extent of a large flood that hit the region in 2018. The methods can be extended for the analysis of different phenomena, such as landslides, coastal flooding, crop monitoring changes depending on the resolution of available SAR images and the number of available SAR scenes that are compared to one another. In this work, some preliminarily results with sequences of Sentinel-1 SAR images are shown.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117252797","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}
引用次数: 1
Refractive index sensing by a silicon metasurface 硅超表面折射率传感
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842969
D. Rocco, A. Tognazzi, M. Gandolfi, L. Carletti, C. Angelis, A. Locatelli, A. Cino
{"title":"Refractive index sensing by a silicon metasurface","authors":"D. Rocco, A. Tognazzi, M. Gandolfi, L. Carletti, C. Angelis, A. Locatelli, A. Cino","doi":"10.1109/MELECON53508.2022.9842969","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842969","url":null,"abstract":"The availability of smart materials represents a key enabling milestone for the realization of smart sensors. In this research field, optical sensing has gained a lot of attention in various applications ranging from basic physics to chemistry and biology. Here, we exploit the non-invasive nature of light to achieve an innovative sensor based on all-optical dielectric nano-resonators arranged in a periodic fashion. The proposed sensor can measure refractive index changes up to 10-6.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740996","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}
引用次数: 0
Homomorphic Encryption for Privacy-Friendly Augmented Democracy 隐私友好型增强民主的同态加密
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843009
Matthieu Brabant, Olivier Pereira, Pierrick Méaux
{"title":"Homomorphic Encryption for Privacy-Friendly Augmented Democracy","authors":"Matthieu Brabant, Olivier Pereira, Pierrick Méaux","doi":"10.1109/MELECON53508.2022.9843009","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843009","url":null,"abstract":"Augmented democracy is a proposal to expand the ability of citizens to participate in the democratic decision process through a digital twin. Artificial intelligence would be used to diminish the load of citizens by recommending decisions based on expert knowledge and the citizens learned preferences. This paper explores the possibility to design citizen ’s avatars in a privacy preserving way. We formulate the problem as a Collaborative Filtering recommendation system and solve it with Matrix Factorisation. We use Homomorphic Encryption to build two privacy-preserving protocols and evaluate the practicality of our solutions with a toy example using the HEAAN encryption library.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116292365","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}
引用次数: 1
Energy Storage Systems in DC Railways for Improving Operating Conditions of AC Power Grids 改善交流电网运行状况的直流铁路储能系统
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842894
G. Graber, V. Calderaro, V. Galdi, L. Ippolito
{"title":"Energy Storage Systems in DC Railways for Improving Operating Conditions of AC Power Grids","authors":"G. Graber, V. Calderaro, V. Galdi, L. Ippolito","doi":"10.1109/MELECON53508.2022.9842894","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842894","url":null,"abstract":"Energy storage systems (ESSs) are extensively investigated solutions for voltage regulation and energy saving in traction railway system. Furthermore, ESSs can have a considerably impact on the AC grid also by mitigating voltage drops and peak currents. In this paper, the impact of on-board ESSs and those installed along the track in support of the DC feeder system is investigated focusing on the voltages and currents of the AC grid. The AC/DC power flow is solved by implementing an iterative algorithm. A simulation framework based on a real Italian DC railway system show the effectiveness of the proposed methodology, and the obtained results are commented and discussed.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114681661","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}
引用次数: 0
Magnetic Field Effects on the Binding Site of A2A Receptor: An Insight Based on Atomistic Simulations 磁场对A2A受体结合位点的影响:基于原子模拟的洞察
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843056
Federico Del Signore, P. Marracino, Davide Cocco, S. Setti, Simona Salati, R. Cadossi, M. Liberti, F. Apollonio
{"title":"Magnetic Field Effects on the Binding Site of A2A Receptor: An Insight Based on Atomistic Simulations","authors":"Federico Del Signore, P. Marracino, Davide Cocco, S. Setti, Simona Salati, R. Cadossi, M. Liberti, F. Apollonio","doi":"10.1109/MELECON53508.2022.9843056","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843056","url":null,"abstract":"In recent years, applications regarding the use of Pulsed ElectroMagnetic Fields (PEMFs) have been growing thanks to important therapeutic implications found through in vitro and in vivo experiments. Experimental results converge in identifying a transmembrane receptor, e.g., the adenosine receptor A2A, as a potential target for PEMFs application. This family of receptors plays a central role in a broad range of physiological processes which has made them important targets for structural biology. However, in silico modeling of this important receptor in presence of an external magnetic field is lacking. This paper provides an analysis for global and local molecular effects, especially for two main residues implicated in the so-called salt bridge interaction, that occurs in the extracellular part of the receptor when a static magnetic field with 1 T in intensity is applied.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125631607","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}
引用次数: 0
PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging property - net:一种基于磁共振成像的前列腺周边区域分割的深度学习方法
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843082
E. Mylona, Dimitris Zaridis, N. Tachos, K. Marias, M. Tsiknakis, D. Fotiadis
{"title":"PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging","authors":"E. Mylona, Dimitris Zaridis, N. Tachos, K. Marias, M. Tsiknakis, D. Fotiadis","doi":"10.1109/MELECON53508.2022.9843082","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843082","url":null,"abstract":"Prostate cancer detection and characterization on Magnetic Resonance Images (MRI) requires accurate segmentation of the prostate gland and the prostatic sub-regions. With the majority of tumoral lesions located in the prostate’s peripheral zone, a precise segmentation of this region is imperative for tumor characterization. Despite the growing success of Convolution neural networks (CNN) in the task of prostate gland segmentation, there a is a knowledge gap in the performance of such networks for segmenting prostatic subregions. In the present work, we propose an novel Deep Learning (DL) approach, named PROper-Net, for segmenting the prostate’s peripheral zone on T2-weighted (T2w) MR images. Our network was compared against four state-of-the-art encoder–decoder CNNs: the original Unet, and its extensions Unet++, Unet3+, and Bridged Unet. Overlap- and distance-based metrics were computed to assess models’ performance and to quantify the superiority of the proposed segmentation approach. The results show that the proposed network successfully outperforms existing networks for the peripheral zone segmentation task, yielding a median performance of 0.74 in terms of Dice Score and 0.88 in terms of balanced accuracy. The improvement in segmentation performance was significant (p-value 0.05) with respect to Unet, Unet++, Unet3+ for all the evaluation metrics while for Bridged Unet significant improvement was achieved for Dice Score, Balanced Accuracy, Sensitivity, and Rand Error Index.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126775019","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}
引用次数: 0
Air-Gapped Current Transformer simulation and accuracy assessment 气隙电流互感器仿真及精度评估
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843105
Luis Felipe Ceron Oliver, Qing Wang, D. Zeze
{"title":"Air-Gapped Current Transformer simulation and accuracy assessment","authors":"Luis Felipe Ceron Oliver, Qing Wang, D. Zeze","doi":"10.1109/MELECON53508.2022.9843105","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843105","url":null,"abstract":"The implementation of smart grids makes it necessary to have reliable and efficient measuring devices. Current sensors used for metering purposes in the grid must be accurate enough to overcome new challenges that power networks face such as injection of undesirable Direct Current (DC) in the system. A Current Transformer (CT) is a transformer widely used to measure current in an electrical circuit. This paper describes the modelling and simulation of a CT with a variable air gap, provides different results of cases with different air gap ratios and evaluates the respective primary and secondary currents in each case according to the standard IEC for instrument transformers. Results show that if an air gap is present, the transformer only reached an accuracy class of 0.5 when the air gap ratio is 0.001.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125149563","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}
引用次数: 0
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