A. Cataldo, L. Angrisani, E. D. Benedetto, Antonio Masciullo, R. Schiavoni, G. Cannazza
{"title":"Systems and Monitoring Apparata Based on Reflectometric Techniques for Enhanced Revealing","authors":"A. Cataldo, L. Angrisani, E. D. Benedetto, Antonio Masciullo, R. Schiavoni, G. Cannazza","doi":"10.1109/rtsi50628.2021.9597238","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597238","url":null,"abstract":"Most sensing networks rely on punctual/local sensors, thus lacking the ability to spatially resolve the quantity-to-be-monitored (e.g., a temperature profile, a humidity profile, etc.) without relying on the deployment of numerous inline sensors. At the state of the art, most quasi-distributed or distributed sensing technologies rely on the use of optical fiber systems; however, these are generally expensive and this limits their large-scale adoption. On the other hand, recently, elongated sensing elements have been successfully used with time-domain reflectometry (TDR) for implementing diffused monitoring solutions. The advantage of TDR is that this is a relatively low-cost technology, with adequate measurement accuracy and the potential to be customized to suit the specific needs of different application contexts of the 4.0 Era. Starting from these considerations, this paper addresses the design, implementation and experimental validation of a novel generation of elongated sensing element networks (SENs) that can be permanently installed in the systems to be monitored and used for obtaining the diffused profile of the quantity-to-be-monitored. In particular, as case studies, three applications are considered: monitoring irrigation process in agriculture (SEN-A, agriculture); leak detection in underground pipes (SEN-W, water); and monitoring of building structures (SEN-B, building).","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"4 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":"125446629","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":"Flexible Product Innovation Cycles for Smart Medical Devices","authors":"Anna Schidek, H. Timinger","doi":"10.1109/rtsi50628.2021.9597243","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597243","url":null,"abstract":"The development of medical devices currently faces several challenges, like the urgent need for new products in a pandemic situation and the release of a new regulatory framework for medical devices in the European Union, which shall ensure the safety and effectiveness of newly developed medical devices. At the same time, the desire for smart, user-friendly products is growing. These can be realized through agile and flexible process models. Based on agile values and the integration of customer feedback, this need can be achieved in iterative development cycles. What at first sight does not seem to be combinable, however, be well integrated into the regulated area of medical technology through the targeted use of agile processes and the adaptation of individual steps. This paper presents a framework for the integration of Scrum into the regulated design control process for medical devices. This framework facilitates flexible product development of smart medical devices.","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":"134153586","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. Presenti, Zhihua Liang, L. A. Pereira, Jan Sijbers, J. D. Beenhouwer
{"title":"CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection","authors":"A. Presenti, Zhihua Liang, L. A. Pereira, Jan Sijbers, J. D. Beenhouwer","doi":"10.1109/rtsi50628.2021.9597330","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597330","url":null,"abstract":"X-ray Computed Tomography (CT) is a nondestructive technique widely used for inspection of manufactured objects generated from a reference computer-aided-design (CAD) representation. In a conventional CT inspection framework, a volumetric reconstruction is computed from a large number of X-ray projections of the object. Afterwards, a surface is extracted, aligned and compared to the CAD model. For an accurate comparison, a high-resolution reconstruction is needed, requiring hundreds of projections, making this procedure not suitable for real-time inspection. In contrast to CT-based inspection, radiograph-based inspection only requires a few radiographs that then can be compared with simulated projections from the reference CAD model. For an effective comparison, however, an accurate 3D pose estimation of the object and consequent alignment between the measured object and the reference model are crucial. In this paper, we present an inline projection-based 3D pose estimation framework using convolutional neural networks (CNNs). Through realistic simulation experiments, we show that, with only two projections, estimation of the pose of the object is possible at the resolution of the acquisition system.","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":"129289341","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}
G. Artale, Giuseppe Caravello, A. Cataliotti, V. Cosentino, D. D. Cara, V. Ditta, S. Guaiana, N. Panzavecchia, G. Tinè
{"title":"A PLC based monitoring and remote control architecture for Distributed Generation and Storage systems in LV smart grids","authors":"G. Artale, Giuseppe Caravello, A. Cataliotti, V. Cosentino, D. D. Cara, V. Ditta, S. Guaiana, N. Panzavecchia, G. Tinè","doi":"10.1109/rtsi50628.2021.9597316","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597316","url":null,"abstract":"(Abstract) This paper proposes a new power line communication (PLC) architecture for monitoring and remote control of Distributed Generators (DG) and Energy Storage Systems (ESS) connected to low voltage distribution networks. The final aim is to improve the performance of the PLC link in terms of robustness and efficiency in devices addressing. The proposed solution is based on a concentrator, to be installed in secondary substation, and a new PLC bridge, to be linked both to inverters and interface protection systems of DGs or ESSs. In this way, a communication link is obtained between distribution system operator (DSO) and DG or ESS owners. The proposed system is able to provide advanced functions for the remote control of DGs and ESSs inverters, not only in terms of remote disconnection but also in terms of adjusting the inverter operating modes.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"17 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":"115159186","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":"Sectoral Prioritization of Industry 4.0 under Lean Supply Chain with an Integrated Fuzzy Decision-Making Approach: The Case of Turkey","authors":"A. Karaşan, Esra Ilbahar, I. Kaya, Beyza Cebeci","doi":"10.1109/rtsi50628.2021.9597301","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597301","url":null,"abstract":"Industry 4.0 is one of the most remarkable topics as it is expected to affect and benefit most sectors. However, the urgency for industry 4.0 transformation will probably be different for each sector since the effort put into making this transformation and its benefit will differ from sector to sector. The objective of this paper is to prioritize sectors for industry 4.0 transformation in the context of the lean supply chain by using an approach consisting of Pythagorean fuzzy AHP and Pythagorean fuzzy TOPSIS that are used to manage uncertainties of decision making more effectively. In this study, as Pythagorean fuzzy AHP is utilized to obtain the weights of criteria affecting industry 4.0 transformation such as system reliability, human resource management, and economic aspect, Pythagorean fuzzy TOPSIS is employed to assess the alternative sectors with respect to these criteria. It has been revealed that the sector with the high priority in industry 4.0 transformation is determined as Finance Sector, followed by Education, Production and Energy sectors, respectively. Additionally, a sensitivity analysis has been managed to perform the effects of decision makers' weights of process.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"27 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":"115514017","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":"Prioritization of Smart Factory Transition Strategies for Manufacturing Plants with an Integrated Fuzzy Decision-Making Approach: The Case of Turkey","authors":"Esra Ilbahar, A. Karaşan, I. Kaya","doi":"10.1109/rtsi50628.2021.9597221","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597221","url":null,"abstract":"As the smart factory concept, a significant element in Industry 4.0, has become more popular, enterprises have tried to keep up with this concept in different ways by adopting different transition strategies. The reason behind this difference might be that enterprises' priorities on these transition strategies become different as their needs change according to their size and technology levels they have. Adaptation of smart factory principles is completely critical process to transition for Industry 4.0 and it should be evaluated in multi-criteria environment. Therefore, in this paper, a decision making (DM) procedure has been suggested to assess smart factory transition strategies for manufacturing plants. To improve the sensitivity and flexibility of the process, the uncertainties of decision making process should be considered. Therefore, in this paper, the proposed multi-criteria decision making (MCDM) methodology consists of cognitive mapping and TOPSIS methods and they are extended based on Z-Numbers fuzzy sets which are able to handle reliability of a DM process in a more effective manner. The proposed method, Z-Numbers fuzzy cognitive mapping, is adopted to model the dependencies among factors having an impact on this transition process whereas the other method, Z-Numbers fuzzy TOPSIS, is utilized to evaluate the alternative transition strategies according to these criteria. Finally, it has been revealed that the alternative strategy, S3-Design and Automation of Processes, is determined as the best strategy for the smart factory transition.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"171 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":"116238309","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":"[Copyright notice]","authors":"","doi":"10.1109/rtsi50628.2021.9597336","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597336","url":null,"abstract":"","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"70 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":"125015763","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":"Analog-to-Digital Converter Dynamic Testing by Linearized Four-Parameter Sine-Fit Algorithm","authors":"D. Belega, D. Petri","doi":"10.1109/rtsi50628.2021.9597328","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597328","url":null,"abstract":"In this paper a linearized version of the four-parameter sine-fit algorithm suggested in the IEEE Standard 1241 for the dynamic testing of analog-to-digital converters is proposed. Algorithm linearization is performed through the Gauss-Newton method and the related closed form expressions are provided. The accuracies of the proposed and the classical versions of the four-parameter sine-fit algorithm are compared each other by means of both computer simulations and experimental results.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"28 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":"125234402","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}
Gik Hong Yeap, Johnson Poh, Vanessa Serbastian, Nicole Siaw Ting Chung, Mitchell Chee Chiun Liong, Jess Chai Ling Lee
{"title":"COVID-Vention: From Physical to Virtual Open Day, UOW Malaysia KDU Perspective","authors":"Gik Hong Yeap, Johnson Poh, Vanessa Serbastian, Nicole Siaw Ting Chung, Mitchell Chee Chiun Liong, Jess Chai Ling Lee","doi":"10.1109/rtsi50628.2021.9597327","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597327","url":null,"abstract":"COVID-19 pandemic has affected everyone in terms of the life style, the way of carrying out work, meetings, shopping, teaching and learning and many more. Many economy sectors were also affected. This paper is reporting on how the institute of higher learning transforming the usual physical open day events to the virtual environment due to the Movement Control Order (MCO) imposed by the Malaysian Government in the fight to contain the spreading of the COVID-19 virus among the community. The virtual open day platform was created entirely by 3D visualized rendering software. It features plenty of stunning and conceptual virtual spaces such as the Grand Lobby and up to 16 program booths. The platform is also integrated with interactive and immersive features for viewers to navigate, explore and click on any hotspot. Clicking on a hotspot triggers an action such as opening a photo, poster, video, text file, or URL link. Google Analytics is being integrated to analyze the statistics and demographic of the viewers/visitors. The virtual platform is highly customizable and can be used to host other commercialized events such as virtual exhibitions, virtual fair, virtual shopping experience, and virtual travel tours. This is why virtual tours are considered the future of creativity with control in the palm of our hands.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"58 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":"125413136","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":"Unified Semantic Space for a Novel Multimodal Approach to Document Similarity","authors":"Simone Scannapieco, A. Ponza, Claudio Tomazzoli","doi":"10.1109/rtsi50628.2021.9597240","DOIUrl":"https://doi.org/10.1109/rtsi50628.2021.9597240","url":null,"abstract":"The paper explores a new method to represent digital documents - containing several sources of information (text, images, videos, multimedia galleries) - in a semantic space able to elevate the importance of each informative channel in giving a deeper meaning to the document. The proposed approach finds several applications such as Web Content Mining, semantic classification and document topic extraction.","PeriodicalId":294628,"journal":{"name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"34 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":"121655115","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}