IEEE Italy Sensors Chapter

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WS IEEE SENSOR CHAPTER 2019 flyer

The tenth edition of the International conference on Indoor Positioning and Indoor Navigation and the sixth IPIN Competition are taking place in Pisa, Italy. Launched in 2010 in Zurich, Switzerland, IPIN is a unique event entirely dedicated to indoor localisation, its applications and its development. The last ten years have seen enormous technical progress in this field, yet, in contrast with outdoors well-established GNSS solutions, no technology still exists cheap and accurate enough for the general market. The potential applications of indoor localisation are all-encompassing, from home to wide public areas, from IoT and personal devices to surveillance and crowd behaviour applications, from casual use to mission-critical systems. Join the 400 expected industrial and academic experts in informatics, electronics and surveying to address this challenge. Discuss in person scientific and industrial matters, witness state-of-the-art systems and methods, participate in the uniquely challenging IPIN competition and enjoy the ancient town of Pisa and beautiful Tuscany.

POLIMI_sensori_novembre 2019 Abstract: A machine is composed by a mechanical structure and a control system (usually a PLC), which is responsible of the appropriate machine working. Sensors act like the link between the mechanics and the control system: they allow the controller to receive a real time feedback on the status of one or more parts of the machine and this information can be used to implement a closed-loop control.  For these reasons, the selection of the sensor type and its features are crucial for guaranteeing the proper operation of the whole machine. This talk aims at providing a description of largely used typologies of sensors for the operational control of industrial equipment (e.g., proximity sensors, displacement sensors, photoelectric sensors). Metrological and technical aspects of different sensing elements and measurement chains will be pointed out. The last part of the lecture will be devoted to an open discussion with the audience on the design of optimal sensors for defined applications, according to specific user requirements. Speaker: Michele Todeschin, Product Engineer Vision and Advanced Sensors, Omron Industrial Automation Europe

The 26th IEEE International Conference on Electronics Circuits and Systems (ICECS) is the flagship conference for the Region 8 of the IEEE Circuits and Systems Society. IEEE ICECS 2019 will be held in Genova, Italy from November 27 to 29, 2019. The conference will include oral and poster sessions, tutorials given by experts on state-of-the-art topics, and special sessions, with the aim of complementing the regular program with emerging topics of particular interest to the circuits and systems community. IEEE ICECS 2019 will also involve keynotes as an opportunity to learn from experts sharing their experience and knowledge. Special activities for young professionals and women in circuits and systems will be also presented at the conference.    

Locandina_Seminaio_Ragaini_A3 Abstract The power system, including generation, transmission, distribution, and utilization of electric power, is the most complex machine  ever built. However, many of the subtleties in its inner workings remain hidden but to those directly working in its operation. Even electronic engineers and computer scientists sometines neglect the many aspects in which information and energy technologies overlap. On the other hand, power engineers sometimes give information technologies for granted, and don't appreciate their specific needs and contributions. This lecture aims to contribute filling this gap, providing some examples of technological challenges where electronics, computing hardware and software are essential to make power systems work: from control of power electronics to fault protection, from optimization of power plant operatons to predictive maintenance. The electrical system can provide computer and software engineers endless problems which are interesting (and fun) to work on, and at the same time give power engineers new directions in which the power grid can evolve.

** Towards robust manipulation via soft materials: open challenges of soft sensing and control methods integration ** Workshop website: https://softperceptiverobots.it/ ================================================================================ CALL FOR CONTRIBUTION We invite participants to submit an extended abstract by March 18, 2020. Young researchers and students are encouraged to participate. APPLY through the workshop website (https://softperceptiverobots.it/call-for-contributions). ================================================================================ OVERVIEW Perception can enable manipulators to effectively interact safely with humans and the environment. A variety of soft sensing technologies are available today (for proprioceptive or exteroception), but there is still a gap to effectively utilize them in manipulation tasks – i.e. providing accurate information useful for the control, or detecting contemporarily parameters like e.g. elongation and twisting, as well as tactile sensing. From a control perspective, both, model-free and model-based approaches, were used for the control of soft manipulators with improved dexterity, but demonstrated some limitation in the accuracy or in the interaction with the environment. The possibility to estimate the manipulators’ configuration, relying on an effective sensor implementation, is essential to improve their performances and remains an open challenge. This workshop aims to provide an insight into the various technologies for soft sensing, sensorized soft actuators, and methods for control of soft robotic manipulators, to foster the understanding in this field and discuss future strategies that can lead to a robust soft manipulation. Topics of interest include: - Proprioceptive sensors for soft robots - Hyperelastic materials for mechanical sensing - Biomimetic and soft tactile sensing - Soft actuators with integrated sensing - Reliable soft actuation strategies for closed-loop control - Kinematic, dynamic control - Hysteresis, Friction compensation - Data driven methods/model free control - Adaptation in unstructured environments SPEAKERS: (alphabetical order) Kaspar Althoefer, Queen Mary University of London, UK Fumiya Iida, University of Cambridge, UK Robert Katzschmann, Massachusetts Institute of Technology, USA Marc D. Killpack, Brigham Young University, UK Rebecca Kramer, Yale University, USA Rochdi Merzouki, University Of Lille, France Concepcion Alicia Monje Micharet, Universidad Carlos III de Madrid, Spain Cosimo Della Santina, Massachusetts Institute of Technology, USA Benjamin Shih, UC San Diego, USA Best wishes, Egidio Falotico, Scuola Superiore Sant’Anna, Italy (egidio.falotico@santannapisa.it) Lucia Beccai, Istituto Italiano di Tecnologia, Italy (lucia.beccai@iit.it) Jonathan Rossiter, University of Bristol, UK (jonathan.rossiter@bristol.ac.uk)

Download PDF Abstract: Wearable measurement systems have been currently spreading as personal devices for monitoring physiological parameters. In last years, such systems are going to be integrated in Internet of Things (IoT) systems where several acquisition nodes are simultaneously connected and managed. The acquisition nodes must comply the size and energy consumption requirements of wearable devices, while allowing the streaming of sampled signals such as the Electrocardiogram and the respiration wave and providing enough accuracy to guarantee the biosignal integrity. This is even harder when the device is connected to Wide Area Network IoT systems, characterized by a lower bandwidth and a higher power consumption. To face these problems, efficient sampling strategies can be adopted aiming to reduce the data rate to be transmitted and as a consequence the energy consumption. The seminar will present the state of art of sampling methods for physiological signals and will in particular deal with methods based on compressed sensing. Compared with the others, such methods offer a lower computational load on the acquisition node, by moving it to the reception side, which in the case of IoT systems, is usually realized in the cloud.   Biography: Luca De Vito received the master’s (cum laude) degree in software engineering and the Ph.D. degree in information engineering from the University of Sannio, Benevento, Italy, in 2001 and 2005, respectively. In 2002 he joined the Laboratory of Signal Processing and Measurement Information, University of Sannio, where he was involved in research activities. In 2008, he joined the Department of Engineering, University of Sannio, as an Assistant Professor in electric and electronic measurement. He became Associate Professor in the same Department in Jan. 2020. In Aug. 2018 he received the National Academic Qualification as Full Professor. He is member of the IEEE since 2010, he is member of the IEEE Instrumentation and Measurement Society (IMS), of the IEEE Aerospace and Electronic System Society, and of the IEEE Standards Association. He is Senior Member of the IEEE since 2012. He member of the Armed Force Communication and Electronics Association (AFCEA) and is Young President of the AFCEA Naples Chapter. He is editor of Measurement and Measurement:Sensors (Elsevier) and Chapter Chair Liaison of the IEEE IMS. He was Technical Program Co-chair of the IEEE International Symposium on Medical Measurements and Applications (MeMeA) in 2015, 2016 and 2017. He published more than 140 papers on international journals and conference proceedings, mainly dealing with measurements for the telecommunications, data converter testing and biomedical instrumentation.  

JOIN THE MEETING Abstract: Wearable measurement systems have been currently spreading as personal devices for monitoring physiological parameters. In last years, such systems are going to be integrated in Internet of Things (IoT) systems where several acquisition nodes are simultaneously connected and managed. The acquisition nodes must comply the size and energy consumption requirements of wearable devices, while allowing the streaming of sampled signals such as the Electrocardiogram and the respiration wave and providing enough accuracy to guarantee the biosignal integrity. This is even harder when the device is connected to Wide Area Network IoT systems, characterized by a lower bandwidth and a higher power consumption. To face these problems, efficient sampling strategies can be adopted aiming to reduce the data rate to be transmitted and as a consequence the energy consumption. The seminar will present the state of art of sampling methods for physiological signals and will in particular deal with methods based on compressed sensing. Compared with the others, such methods offer a lower computational load on the acquisition node, by moving it to the reception side, which in the case of IoT systems, is usually realized in the cloud. Biography: Luca De Vito received the master’s (cum laude) degree in software engineering and the Ph.D. degree in information engineering from the University of Sannio, Benevento, Italy, in 2001 and 2005, respectively. In 2002 he joined the Laboratory of Signal Processing and Measurement Information, University of Sannio, where he was involved in research activities. In 2008, he joined the Department of Engineering, University of Sannio, as an Assistant Professor in electric and electronic measurement. He became Associate Professor in the same Department in Jan. 2020. In Aug. 2018 he received the National Academic Qualification as Full Professor. He is member of the IEEE since 2010, he is member of the IEEE Instrumentation and Measurement Society (IMS), of the IEEE Aerospace and Electronic System Society, and of the IEEE Standards Association. He is Senior Member of the IEEE since 2012. He member of the Armed Force Communication and Electronics Association (AFCEA) and is Young President of the AFCEA Naples Chapter. He is editor of Measurement and Measurement:Sensors (Elsevier) and Chapter Chair Liaison of the IEEE IMS. He was Technical Program Co-chair of the IEEE International Symposium on Medical Measurements and Applications (MeMeA) in 2015, 2016 and 2017. He published more than 140 papers on international journals and conference proceedings, mainly dealing with measurements for the telecommunications, data converter testing and biomedical instrumentation.

Download PDF Abstract: The ballooning IoT phenomena today encompasses wide ranging application scenarios in many sectors, including Smart Cities, Home & Building Automation, Smart Things, Asset Tracking and Industry 4.0. The key elements behind this growth story include the miniaturized and more intelligent sensing and processing hardware based on silicon technologies, several robust and reliable connectivity protocols, and highly refined signal conditioning and power and energy management. The Smart City, Home & Building Automation strategy for a more efficient and sustainable society involves interfacing state-of-the-art metering ICs featuring highly accurate monitoring and control functionality with broader systems integrating microcontrollers, sensors, safety and protection devices in wireless and power-line transmission networks. In Industry 4.0, the concept of Predictive Maintenance to improve industrial tool management is also gaining traction. This technology involves the diagnosis of key symptomatic indicators to allow advanced planning of costly machine care and maintenance, in order to reduce unnecessary or untimely downtime and avoid unrecoverable failures. ST is well positioned to address these markets with state-of-the-art technologies and a wide range of products, thanks to its profound understanding of the building blocks associated with each of these ecosystems. KEYWORDS: #MCU, #ARM, #Cortex #Connectivity, #NFC, #RFID #Bluetooth, #BLE mesh, #RF Sub-GHz, #Sigfox , #LoRA, #Sensors, #MEMS, #Motion, #Environment, #ToF, #Proximity, #Microphone Biography Filippo Colaianni received his M.S. degree in Engineering from the University of Catania, in 2001. He is currently the Technical Marketing Manager at STMicroelectronics, for IoT, Smart City and Home Building Automation, Asset Tracking applications segments. He is responsible for project management, promotion and demand creation for IoT and Industry 4.0, and has accumulated a deep working knowledge of ARM Cortex-M MCU, Connectivity and Sensors products in this role.