2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)最新文献

{"title":"Improved Performance of Grid-Tied Photovoltaic Cascaded H-Bridge Inverter with Embedded Storage Units","authors":"M. Coppola, P. Guerriero, A. Dannier, S. Daliento, A. D. Pizzo","doi":"10.1109/rtsi50628.2021.9597300","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597300","url":null,"abstract":"In this paper a grid-tied photovoltaic (PV) cascaded H-bridge (CHB) inverter with embedded storage units is proposed. The multi-input single-output inverter architecture allows a distributed maximum power point tracking (DMPPT) approach, thus mitigating the mismatch effects. The energy storage units (ESUs) embedded at each dc-link provides more flexibility to the power circuit compensating for the inherent variability of the PV sources. The proposed power system ensures a continuous power supply to the grid also in case of PV power fluctuations due to irradiance conditions as well as to the MPPT. In particular, the presence of a storage element allows a voltage sweep on the PV source to be implemented, thus guaranteeing the maximization of PV energy harvesting, with no detrimental effect on the power delivery to the utility network. The numerical results, carried out on a single-phase nineteen-level PV CHB inverter, reveal the improved performance of the proposed design and control technique.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"306 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":"115744997","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":"Microwave Characterization of 3D Printed PLA and PLA/CNT Composites","authors":"E. Pittella, L. D’Alvia, E. Palermo, E. Piuzzi","doi":"10.1109/rtsi50628.2021.9597226","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597226","url":null,"abstract":"The aim of this paper is to characterize dielectric properties of polylactic acid, one of the most commonly used materials for 3D-printing, at microwave frequencies, specifically at X-band. The knowledge of the complex permittivity of this plastic material is important for many applications. The manufacturing process of the printed object also requires to investigate the possible material anisotropy. Moreover, using polylactic acid doped with carbon nanotubes it is possible to manufacture conductive materials that can be used to realize electronic devices and microwave components. 3D-printed samples, based on the polylactic acid filament and polylactic acid filament doped with carbon nanotubes, were designed and manufactured by fused deposition modeling along three different axes, in order to characterize the material and examine also its possible anisotropic effect at microwave frequencies. Complex permittivity results were obtained from the scattering parameter data using the transmission line method and a suitable measurement model.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"42 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":"134317795","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":"RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images","authors":"Roberto Del Prete, M. Graziano, A. Renga","doi":"10.1109/rtsi50628.2021.9597297","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597297","url":null,"abstract":"With the specific aim of improving our Maritime Domain Awareness, satellite data enable a wide range of applications, including fisheries and pollution control, anti-piracy actions, and surveillance over coastal/protected regions. Among all the available data, the ones gathered by space-borne synthetic aperture radar (SAR) are attracting large interest thanks to their coverage and all-weather and all-time observation capabilities. Currently, Artificial Intelligence (AI) has been widely recognized as the only way to take fully advantages of increasing amount of Earth Observation (EO) data, and Deep Learning-based detectors have been successfully applied for the detection of ships from cluttered sea surface. However, nonetheless their exploitation for ship route estimation purposes, the problem of wake detection by deep learning has been barely touched. With this concern, the paper investigates one of the latest deep learning architecture for object detection, i.e. RetinaNet, as an effective means to achieve a robust wake detector.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"142 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":"131610588","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":"Smart Learning Communities for Bridging the Gender Gap in STEM","authors":"M. Coccoli, Filomena Ferrara, P. Maresca","doi":"10.1109/rtsi50628.2021.9597223","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597223","url":null,"abstract":"This paper presents the results achieved in four years of activity within the NERD? project, which was created by IBM Italy and La Sapienza University of Rome and is carried on in collaboration with several universities and schools, in Italy. The long-term objective of the project is bridging the gender gap in the so-called STEM disciplines (science, technology, engineering and mathematics) starting from the secondary education. Specifically, we refer to the experience conducted in the field of informatics and computer engineering by the Federico II University of Naples, which empowered the original educational model of the NERD? project, introducing collaboration issues within a smart learning community. This involved people from industry, university and secondary schools, including both teachers and students at all the levels.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"65 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":"133863088","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":"Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax","authors":"N. Racchi, Alberto Parravicini, Guido Walter Di Donato, M. Santambrogio","doi":"10.1109/rtsi50628.2021.9597357","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597357","url":null,"abstract":"Fraud is ubiquitous in both institutions and private companies, costing $1.9 billion in losses in the US, in 2019 alone. Fraud detection introduces a way to mitigate these losses while ensuring better security and enabling trust between all parties. However, it frequently comes at a great cost of resources needed to locate and oppose fraudulent cases manually. This cost also grows exponentially with the size of a company's financial transaction network. In this work, we propose a novel framework for automatic fraud detection that relies on institutions' readily available data, that aims at reducing the cost of resources outlined above. We evaluate our framework by comparing it against a baseline result and show an increase of 37% in performance expressed as F1-score while providing highly desirable characteristics such as online learning capability and a reduction of 82% in training time on commodity hardware.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"74 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":"114146331","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":"Security Enhancement of A5/1 Stream Cipher in GSM Communication & its Randomness Analysis","authors":"R. Prajapat, Rajesh Bhadada, Giriraj Sharma","doi":"10.1109/rtsi50628.2021.9597348","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597348","url":null,"abstract":"Global System for Mobile (GSM) is still widely used cellular standard providing many services like Voice, SMS & Data Service with mobility. To secure information in the GSM cellular network, security is implemented at two levels i.e. initially to authorize the valid users for every location update and then during call, encryption is applied over the information being transmitted on GSM channel to protect from being intercepted and decoded by unauthorized persons. This protection is achieved by converting the original message into an encoded form (cipher form) that appears to be a random stream of symbols. Under “Challenge-Response” mechanism, A3 and A8 algorithms are used to generate triplet (RAND, SRES & Kc) for authentication of any user at GSM network. But the actual information is encrypted using A5 algorithm to generate cipher stream for better protection from interception. This A5 stream cipher has three versions: A5/1, A5/2 and A5/3. A5/1 works on Liner Feedback Shift Registers (LFSRs) with irregular clocking and generates pseudo random binary stream. These three versions of A5 algorithm are being used for encryption of information over GSM since the launching of GSM services and have been cryptographically analyzed by Reverse-Engineering. With passage of time, many hackers & crackers are becoming able to break this encryption identifying some weaknesses of these algorithms and can decrypt the original information. These stream ciphers are facing some weaknesses like poor Liner Complexity (LC) & clocking mechanism (Majority Rule), short clocking period, weak choice of clocking taps and collision problem. Because of such weaknesses, these stream ciphers can be decrypted by intruders. In this papers an attempt has been made to reduce these weaknesses and enhance the security by introducing non-linear combinational generator (NLFSRs), reuse of 32 bits SRES generated by A3 algorithm and finally combining the output stream with last 32 bits of CGI. The randomness analysis of proposed stream cipher is carried out by NIST Statistical Test Suite and it is confirmed by comparison of the randomness parameters results that the randomness of bit-stream produced by the proposed stream cipher has improved significantly hence the enhanced security can be achieved.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"53 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":"129641331","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 Automatic Active Contour Approach to Segment Retinal Blood Vessels","authors":"Isabella Poles, E. D’Arnese, M. Santambrogio","doi":"10.1109/rtsi50628.2021.9597338","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597338","url":null,"abstract":"Assessment of the blood vessel morphology in retinal fundus images is an indispensable method to diagnose diseases such as diabetic retinopathy and glaucoma. Ophthalmologists commonly evaluate fundus images with manual planimetry vessel extraction, which represents a clear bottleneck and is prone to human errors. Therefore, an automatic vessel segmentation tool can help clinicians perform this task, thus, improving the accuracy of the diagnosis. This work proposes a fully automatic segmentation framework based on the Chan-Vese active contouring algorithm for defining blood vessels in retinal images enhanced by matched filtering. Moreover, custom pre-processing workflows facilitate the subsequent segmentation depending on the analyzed images' intensity-based characteristics. The effectiveness of the proposed method was evaluated on the benchmark dataset STARE. Our framework outputs resemble much closer the ground truth images than other segmentation strategies, achieving an average accuracy of 94.37% and a Dice Similarity Coefficient of 0.7441.","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":"130669486","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":"Printed Sensors for Smart Objects in Industry 4.0","authors":"Michela Borghetti, Edoardo Cantù, E. Sardini, M. Serpelloni","doi":"10.1109/rtsi50628.2021.9597209","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597209","url":null,"abstract":"With the advent of the fourth industrial revolution or Industry 4.0, manufacturing processes are undergoing radical changes thanks to the adoption of enabling technologies, such as Internet of Things (IoT), Big Data, Additive Manufacturing (AM), and Cloud Computing. As such, sensors are becoming essential to obtain additional data on production, parts, equipment health, and environmental conditions. All this concerns the aim of improving many aspects of industrial processes (flexibility, efficiency, cost, etc.). Sensors need to be placed everywhere in the industrial work environment (on machines, smart devices, objects, and tools) to monitor in real-time physical quantities such as temperature, vibrations, deformations that could affect production. With its characteristics, printed electronics (PE) can allow us the production of customized sensors and systems to make “smart” conventional objects. This work aims to analyze an innovative PE technology - aerosol printing - as manufacturing technology for electronics and sensors to be integrated into objects, showing examples of sensors fabricated by PE as applications that will be adopted for smart objects and Industry 4.0.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"2 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":"131145437","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":"Solar-Powered Smart Irrigation System","authors":"Rinae Sinugo, O. M. Longe","doi":"10.1109/rtsi50628.2021.9597219","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597219","url":null,"abstract":"South Africa is a country currently facing water and electricity crises due to the unmatched demand and supply of these utilities. In irrigation systems, there is a high rate of water wastage since watering can sometimes take place when it is not necessary especially in the traditional irrigation system. The Fourth Industrial Revolution (4IR) is an enabler of the transition from traditional to automated irrigation systems. A smart irrigation system that is powered by solar energy was designed and implemented in this work to optimize the consumption of water and electricity in irrigation processes. The device is designed for manual and automatic operations with communication through a Bluetooth module. Experiments were conducted and the results obtained showed that the device offered 25.2% and 57.8% of savings in water usage and energy expenditure respectively compared to a situation without the proposed system.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"12 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":"128739049","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 Operation of Multi-Energy Microgrids Considering Network Constraints and Multiple Uncertainties","authors":"Pierpaolo Garavaso, F. Bignucolo, R. Turri, Cuo Zhang","doi":"10.1109/rtsi50628.2021.9597323","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597323","url":null,"abstract":"Multi-Energy Microgrids (MEMGs) offer great opportunities for enhancing energy systems efficiency and penetration of renewable energy sources (RESs). By coupling traditionally independent electrical and thermal networks with binding components such as Combined Heat and Power (CHP) units, system operators can benefit from higher energy utilization efficiency. However, MEMGs' operation is severely compromised by uncertainties existing in RES generation and electric loads, which can never be perfectly predicted. This affects considerably the MEMG day-ahead dispatch and poses major challenges on how to maintain reliable operating conditions. This work proposes a coordinated dispatch strategy to minimize the operating costs of a network-constrained MEMG consisting of combined electrical and thermal distribution networks when multiple uncertain parameters are considered. To capture uncertainty variability, the operation method was modeled as a stochastic programming problem. Moreover, the Monte Carlo sampling technique was used to generate a large number of random scenarios. The proposed stochastic operation method was tested on a 14-bus system to find the optimal day-ahead scheduling operation. A feasibility check of the stochastic and deterministic methods was then carried out based on a new set of uncertainties realizations. Results indicated the proposed operation model to minimize the operating costs and guarantee strong robustness against uncertainties' realizations.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"36 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114013459","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}