{"title":"Electromagnetic and Structural Analysis of an Induction Motor with Copper Rotor Bars used in Automotive Applications","authors":"D. Fodorean, C. Pop, D. Popa","doi":"10.1109/rtsi50628.2021.9597235","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597235","url":null,"abstract":"The paper investigates the electromagnetic and structural behavior of an induction motor (IM). The IM has copper rotor bars for improved performances, since it is intended to run in a wider speed range (from 2500 rot/min to 9000 rot/min), being designed for the air-conditioning system of an electric vehicle. The design procedure, as well as the parameters determination of the motor represented the first stage of the study. Here, the numerically obtained performances, by means of finite element method (FEM), are presented, to prove the validity of the study and the usefulness of the solution for the considered application.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129539831","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":"Sex Differences in the ECG Interpretation: a Functional Data Analysis Perspective","authors":"Vera Maioli, L. Clementi, M. Santambrogio","doi":"10.1109/rtsi50628.2021.9597363","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597363","url":null,"abstract":"Prompt diagnosis and correct therapy are essential for the treatment of cardiovascular diseases. A proper evaluation of electrocardiography (ECG) tracings could help to analyze the different effects of drug therapies in men and women and therefore would allow the prescription of more specific drugs and dosages. For this purpose, it is essential to know the morphology of the ECG and to know how to read it correctly. In recent years there has been an increasing awareness of the differences between a male and female ECG trace and, therefore, of the need to take them into account to obtain a correct diagnosis. This work proposes a method for the recognition of the subject's sex starting from the morphology of the ECG trace alone to highlight sex differences. This technique employs Functional Data Analysis (FDA), a statistical approach specifically developed for the analysis of curves and surfaces. We proved the adequacy of our method by evaluating its ability to classify the traces correctly and is proposed as a smart analysis tool to be employed in the development of ad hoc cardiac drugs. The procedure foresees a preprocessing of the signal through a Butterworth filtering, wavelet-based smoothing, and alignment of the traces. We then classify the signals through a cluster analysis in the form of multivariate functional k-mean procedures. The result is a semi-automatic assignment of the sex of the subject to which the ECG belongs. The method reaches better performances when considering younger subjects because morphological differences between sexes are more evident in this subpopulation, as previously highlighted in literature. More specifically, the accuracy is 77.8% in the younger population and 71.4% in elderly subjects. The technique hereby proposed is a valuable tool for the exploration of ECG tracings to be employed in clinical and pharmacological research.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130585099","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 Robust and Versatile Analog-to-Digital Converter for Space Exploration Spectroscopy on Satellites","authors":"Marco Grassi, P. Malcovati","doi":"10.1109/rtsi50628.2021.9597242","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597242","url":null,"abstract":"A robust, versatile, on-demand incremental Analog to Digital converter for space exploration spectroscopy on satellites has been developed and characterized. The main application of the proposed circuit is the detection of X and Gamma rays in space within the THESEUS exploration mission, whose aim is a deeper investigation of high energy transient phenomena over the complete universe history. This investigation can be carried out thanks to multiple instruments on different satellites, which require a smart synchronization among the modules. The on-demand conversion of the proposed ADC avoids hysteretic behavior over different samples processing, requirement fundamental in spectroscopic applications, which also leads to power consumption reduction operating the converter only when necessary. Finally, since the ADC will be employed in a dual-mode front-to-back-end circuit for X and Gamma detection, it must exhibit maximum flexibility and re-configurability. The presented ADC is one of the key-modules of the core ASIC of the THESEUS mission called ORION, thus particular focus has been also given to reliability and robustness.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904834","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 supervised machine learning framework for smart tires","authors":"S. Strano, M. Terzo, C. Tordela","doi":"10.1109/rtsi50628.2021.9597342","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597342","url":null,"abstract":"Artificial intelligence techniques are today among the most important challenges for the future due to their ability to analyze big data and identify key characteristics. In transportation, the growing amount of data measured on vehicles and infrastructures constitute a wealth of information useful for energy, safety and environmental sustainability. In this paper, a supervised machine learning methodology applied to smart tires is presented. Starting from the definition of sensors inside the tire, it is shown how a predictive model can be used for the learning phase through the generation of virtual datasets. Following the learning phase, the architecture and the functional scheme of the machine learning algorithm is presented. The methodology is capable to estimate key variables of the tire operation starting from common measurements on the vehicle.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129274471","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":"Towards Privacy Preservation in Internet of Drones","authors":"V. O. Nyangaresi, Mohammed A. Morsy","doi":"10.1109/rtsi50628.2021.9597324","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597324","url":null,"abstract":"the internet of drones (IoD) sensors collect sensitive and private data that can have adverse consequences if captured by adversaries. To address this issue, many authentication and key agreement protocols have been introduced in literature. However, most of these schemes fail to protect the exchanged data against most common IoD attack models or experience high computation, storage and communication overheads. As such, the provision of robust privacy and security at relatively low computation, storage and communication overheads is still an open challenge. In this paper, a privacy and security preservation protocol is developed. Formal security analysis using the Burrows-Abadi-Needham (BAN) logic proves that it offers secure mutual authentication among the IoD entities. It also provides user anonymity and untraceability in addition to being resilient against Man-in-the-Middle (MitM), packet replay and impersonation attacks. Moreover, it experiences the lowest communication and computation costs among its peers.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553899","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":"An Exploratory Review of Malaysian E-Commerce Merchants and Their Readiness in Adopting Business Analytics Models for Assessment of Business KPIs","authors":"Zhi-Her Teh, C. Lim, Sien Chen","doi":"10.1109/rtsi50628.2021.9597241","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597241","url":null,"abstract":"In recent years, E-commerce business has become the norm in Malaysia, especially since the outbreak of the Covid-19 pandemic, with increasing number of small and medium enterprises (SMEs) joining in. As more and more Malaysian business merchants jumped onto the bandwagon, most of them only managed to setup basic websites, with basic databases to store transactional and customer data. However, when the merchants needed to further analyze customer purchasing patterns or any other aspects of demographic behavior, they found that it could not be done due to missing or incomplete data. Therefore, the objective of this research was to explore the current readiness of the merchants' data collection policies in taking advantage of business analytics. A study was conducted to review the data privacy policies of 32 E-commerce merchants to understand the types of data collected by the merchants. Furthermore, mapping was done to check on whether the collected data is sufficient enough to apply in specific analytical models to review the churn rate, conversion rate and customer lifetime value of the E-commerce customers. The study showed that most merchants had only collected enough information to conduct basic business analytics. As a result, this exploratory study managed to devise a data analytic model, with the relevant data types, that can be used by E-commerce merchants to collect and leverage data to conduct more in-depth analytics to better understand their customers.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116217412","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 Critical Review of Photonic Opportunities within Autonomous Vehicles Transport System","authors":"A. Redmond","doi":"10.1109/rtsi50628.2021.9597361","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597361","url":null,"abstract":"Autonomous vehicle industry is progressing beyond manufacturing to a hybrid industry that delivers innovative mobility and connected services solutions, which in turn will have an impact on the business models. This paper through the appreciation of other publications, will (i) highlight the main challenges associated with AV systems advancement race for mass-production ready design utilizing; sensors, controllers, software and computers. The paper will also (ii) address KETs such as sensor based and signal-based navigation systems, photonics, and microelectronics. The paper's methodology (secondary research/literature review) focuses on (iii) analyzing and comparing benefits and challenges of current transport system design trends for AVs. The result of the paper will (iv) specify recommendations, areas of improvement from current reports that are mapped to Photonics supply chain and new business models.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115286790","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":"On How FPGAs are Changing the Computer Security Panorama: An Educational Survey","authors":"G. Gerometta, Davide Conficconi, M. Santambrogio","doi":"10.1109/rtsi50628.2021.9597337","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597337","url":null,"abstract":"Field Programmable Gate Arrays (FPGAs) are becoming a constant in datacenters, wireless sensor networks, and HPC field. Thanks to a remarkable flexibility and a high parallelism degree, FPGAs are the platform for creating custom adaptable circuits after manufacturing. The pervasiveness of FPGAs translates into a paramount priority of hardware security issues. Indeed, attacks on hardware-based solutions could lead to physical damage to a device or information leakage. With this work, we are reviewing the State of the Art and presenting a summary of security threats and possible countermeasures for FPGA-based systems.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124991609","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 QKeras Neural Network Zoo for Deeply Quantized Imaging","authors":"F. Loro, D. Pau, V. Tomaselli","doi":"10.1109/rtsi50628.2021.9597341","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597341","url":null,"abstract":"Neural network zoos are quite common in the literature and are particularly useful for demonstrating the potential of any deep learning framework by providing examples of its use to the Artificial Intelligence community. Unfortunately most of them uses FP32 (32bits floating point) or INT8 (8bits integer) precision for activation and weights. Communities such as TinyML are paying more and more attention to memory and energy-saving to achieve mW and below power consumptions and therefore to Deeply Quantized Neural Networks (DQNNs). Two frameworks: QKeras and Larq, are gaining momentum for defining and training DQNNs. To best of our knowledge, the only available zoo for DQNN is the Larq framework. In this work we developed a new QKeras zoo and comparing the accuracy with the available Larq zoo. To avoid costly re-training, we show how to re-use the weights from Larq zoo. We also developed the zoo with ten networks and matched the performance of the Larq zoo for seven out of ten networks. Our work will be made publicly available through a GitHub repository.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125172306","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}
A. Buffi, Fabio Bernardini, P. Nepa, M. Marracci, B. Tellini, L. D. Donato, M. Pirozzi, Laura Tomassini, Alessandra Ferraro
{"title":"RFID-Based Localization Enables a Smart System for Worker Safety","authors":"A. Buffi, Fabio Bernardini, P. Nepa, M. Marracci, B. Tellini, L. D. Donato, M. Pirozzi, Laura Tomassini, Alessandra Ferraro","doi":"10.1109/rtsi50628.2021.9597296","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597296","url":null,"abstract":"This paper presents a smart system for worker safety in industrial scenarios, through the adoption of the Radio Frequency Identification technology (RFID). In particular, a localization system to measure the position of workers in close proximity to machinery assemblies is here presented. The RFID-based localization method exploiting a synthetic-array approach is described and characterized with specific reference to its realtime applicability needed to safety requirements. The latter is conceived in the framework of the SENERGY Project co-funded by the National Institute for Insurance against Accidents at Work, INAIL, Italy.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119316","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}