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7th International Electronic Conference on Sensors and Applications
Part of the International Electronic Conference on Sensors and Applications series
15–30 Nov 2020
Biosensors, Chemical Sensors, Physical Sensors, Sensor Networks, Structural Health Monitoring Technologies and Sensor Networks, Wearable Sensors
- Go to the Sessions
- Event Details
Warmest congratulations on the success of the 7th International Electronic Conference on Sensors and Applications (ECSA-7). Many thanks for your participation.
All participants of ECSA-7 are welcome to submit the extended work to the Sensors Special Issue "Selected Papers from the 7th International Electronic Conference on Sensors and Applications".
The two award winners have been announced at https://ecsa-7.sciforum.net/#awards.
Welcome from the Chairs
Welcome from the Conference Chairs of the 7th International Electronic Conference on Sensors and Applications
We are pleased to announce the 7th International Electronic Conference on Sensors and Applications. After the success of the six editions from 2014 to 2019, this year edition will focus on four thematic areas where sensors are changing science:
- Chemo- and Biosensors (Session A), incorporating the Special Session of the Chemosensors Journal
- Physical Sensors (Session B)
- Sensor Networks (Session C)
- Applications (Session D)
There will be five specific sessions:
- S1. Structural Health Monitoring Technologies and Sensor Networks
- S2. Wearable Sensors
- S3. Smart Cities
- S4. Optical Sensors
- S5. Women in Sensors
and also a Poster session. Posters can be presented without an accompanying proceedings paper and will be available online on this website during and after the e-conference. However, they will not be added to the proceedings of the conference.
Participants will have the opportunity to examine, explore and critically engage with issues and advances in these areas. We hope to facilitate discussions and exchange within the community. Best contributions in each sessions will be collected and brought to a live event broadcast on Webinars through zoom. A student competition will also be held online for selected students' contributions (students as correspondences) exhibited in the Student Session. More details of the competition please click https://sciforum.net/conference/ecsa-7#awards.
This event will solely be an online proceeding which allows the participation from all over the world with no concerns of travel and related expenditures. This type of conference is particularly appropriate and useful because research concerned with sensors is progressing rapidly. An electronic conference provides a platform for rapid and direct exchanges about the latest research findings and novel ideas. The participation as well as the "attendance" of this online conference is free of charge.
The 7th International Electronic Conference on Sensors and Applications is sponsored by MDPI and the scientific journal Sensors (ISSN 1424-8220, IF 3.275). The conference proceedings papers and presentations will be available on https://ecsa-7.sciforum.net/ for discussion during 15-30 November 2020 and will be published in journal Engineering Proceedings.
Extended and expanded versions of conference proceedings papers can be submitted to Special Issue "Selected Papers from the 7th International Electronic Conference on Sensors and Applications" in journal Sensors, with a 20% discount on the Article Processing Charges.
Sensors is an Open Access publication journal of MDPI in the field of the science and technology of sensors and biosensors.
We hope the community will share this enthusiasm and help making this 7th edition a success—for many to come in the future.
The Chairs of the 7th International Electronic Conference on Sensors and Applications.
Dr. Stefano Mariani |
Dr. Stefano Mariani received an M.S. degree (cum laude) in civil engineering in 1995, and a Ph.D. degree in structural engineering in 1999; both degrees are from the Polytechnic University of Milan. He is currently an associate professor at the Department of Civil and Environmental Engineering of the Polytechnic University of Milan. He was a research scholar at the Danish Technical University in 1997, an adjunct professor at Penn State University in 2007, and a visiting professor at the Polytechnic Institute of New York University in 2009. He is a member of the Editorial Boards of Algorithms, International Journal on Advances in Systems and Measurements, Inventions, Machines, Micro and Nanosystems, Micromachines, and Sensors. He has been a recipient of the Associazione Carlo Maddalena Prize for graduate students (1996), and of the Fondazione Confalonieri Prize for PhD students (2000). His main research interests are: the reliability of MEMS that are subject to shocks and drops; the structural health monitoring of composite structures through MEMS sensors; numerical simulations of ductile fracture in metals and of quasi-brittle fracture in heterogeneous and functionally graded materials; extended finite element methods; the calibration of constitutive models via extended and sigma-point Kalman filters; and multi-scale solution methods for dynamic delamination in layered composites. |
Dr. Tom A. Messervey |
Dr. Tom A. Messervey has over 20 years of engineering experience, which includes military service in the US Army Corps of Engineers, industrial experience with the Italian Engineering Company, D’Appolonia, teaching excellence at the United States Military Academy at West Point, and coaching services as the EU Facilitator for the Intelligent Manufacturing Systems program (www.ims.org). He serves as an expert for the European Commission in textiles, manufacturing, and energy efficiency. His research interests focus on using sensor data to make better engineering decisions across design, assessment, maintenance, inspections, and energy management to include machine learning. He is a member of the International Association of Bridge Maintenance and Safety (IABMAS), the International Association of Life Cycle Civil Engineering (IALCCE), and a technical reviewer for the International Journal of Safety and Security Engineering and the Journal of Structure and Infrastructure Engineering. |
Dr. Alberto Vallan |
Dr. Alberto Vallan received the M.S. degree in Electronic Engineering from the Politecnico di Torino, Italy, in 1996 and the Ph.D. degree in Electronic Instrumentation from the University of Brescia, Italy, in 2000. He is currently an Associate Professor in Electrical and Electronic Measurements with the Department of Electronics and Telecommunications of the Politecnico di Torino. From 2000 to present, he has been a lecturer in courses concerning Electronic Measurements and Sensors. His research interests are focused on the development and characterization of fiber sensors and measuring instruments for biomedical and industrial applications. He is a Senior Member of the IEEE/Instrumentation&Measurement Society. |
Dr. Stefan Bosse |
PD Dr. Stefan Bosse studied physics at the University of Bremen. He received a PhD/doctoral degree (Dr. rer. nat.) in physics in the year 2002 at the University of Bremen, and the post-doctoral degree (Habilitation) and the Venia Legendi in Computer Science in the year 2016 at the University of Bremen with his habilitation (postdoctoral degree) "Unified Distributed Sensor and Environmental Information Processing with Multi-Agent Systems". Since 2017 he is teaching and researching as a Privatdozent at the University of Bremen, Department of Computer Science, and since 2018 he is an interim professor at the University of Koblenz-Landau, Faculty Computer Science, Institute of Software Technologies. At the University of Bremen and University Koblenz-Landau he teaches several courses in fundamental computer science, functional programming, and in selected advanced topics covering the design and programming of massive parallel and distributed systems, multi-agents systems and agent-based simulation, high-level synthesis of complex digital logic data processing systems, and material-integrated sensing systems with a high interdisciplinary background. His main research area is distributed artificial intelligence in general, and in particular information processing in massive parallel and distributed systems using agent-based approaches combined with machine learning, and agent-based simulation. A broad range of fields of application and domains are addressed: Material Science, Materials Informatics, Smart Materials, IoT, Production Engineering, Social Science, Crowd Sensing, Geo Science. He conducted projects in the internationally recognized ISIS Scientific Centre for Intelligent Sensorial Materials pushing interdisciplinary research closing the gap between technology and computer science, finally joining the ISIS council and publishing an internationally well regarded handbook on this topic. He published about 100 journal and conference papers and acts as a reviewer and a guest editor for several international journals and is a member of a broad range of international conference programme and organizing committees. |
Dr. Francisco Falcone |
Dr. Francisco Falcone received his Telecommunication Engineering Degree (1999) and PhD in Communication Engineering (2005), both at the Public University of Navarre in Spain. From 1999 to 2000 he worked as Microwave Commissioning Engineer, Siemens-Italtel. From 2000 to 2008 he worked as Radio Network Engineer, Telefónica Móviles. In 2009 he co-founded Tafco Metawireless. From 2003 to 2009 he was also Assistant Lecturer at UPNA, becoming Associate Professor in 2009. His research area is artificial electromagnetic media, complex electromagnetic scenarios and wireless system analysis, with applications to context aware environments, Smart Cities and Smart Regions. He has over 500 contributions in journal and conference publications. He has been recipient of the CST Best Paper Award in 2003 and 2005, Best PhD in 2006 awarded by the Colegio Oficial de Ingenieros de Telecomunicación, Doctorate award 2004-2006 awarded by UPNA, Juan Lopez de Peñalver Young Researcher Award 2010 awarded by the Royal Academy of Engineering of Spain and Premio Talgo 2012 for Technological Innovation. |
Please feel free to download our ECSA-7 Poster.
Event Awards
To acknowledge the support of the conference esteemed authors and recognize their outstanding scientific accomplishments, we are pleased to launch the Best Contribution Award and Student Award.
Winner Announcement
On behalf of the chairs of ECSA-7, we are pleased to announce the winners of the Best Contribution Awards and Student Award:
The Best Contributions Awards have been awarded to
- sciforum-036054, "Highly Sensitive Hydrogen Sensor Based on Palladium-Coated Tapered Optical Fiber at Room Temperature"
Mohammed Majeed Alkhabet, Saad H. Girei, Suriati Paiman, Norhana Arsad, Mohd Adzir Mahdi, Mohd Hanif Yaacob *
- sciforum-036476, "Low-Energy and Modular Wearable Device for Wireless Measurement of Physiological Signals"
Manuel Andrés Herrera-Juárez, Roberto Giovanni Ramírez-Chavarría *
- sciforum-036557, "Node Distribution Optimization in Positioning Sensor Networks through Memetic Algorithms in Urban Scenarios"
Paula Verde *, Rubén Ferrero-Guillén *, Rubén Álvarez, Javier Díez-González, Hilde Perez
The Best Student Award has been awarded to
- Matteo Torzoni, "A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring Under Varying Operational and Environmental Conditions"
Each Award consists of 500 CHF.
The Awards
Number of Awards Available: 3
The Best Contribution Award is given for the submission judged to make the most significant contribution to the conference.Number of Awards Available: 1
The ECSA Student Award has been established to encourage high-quality work among young researchers.Terms and Conditions:
Best Contribution Award
Sensors would like to award the three best contributions as elected by the conference committee. The Awards will consist of 500 Swiss Francs to each awardee. To join in this award, presentation materials must be submitted. We look forward to posting your contributions.
Student Award
The student award will consist of 500 Swiss Francs sponsored by Chemosensors. This award is for a student who has joined in the online student competition of the ECSA-7.
Eligibility Requirements:
1. The student themselves should be the corresponding author
2. A scanned copy or photograph of the valid student ID card must be submitted together with the extended abstract
3. Presentation materials must be submitted
If you would like to join in this competition, please submit your work to the Student Session.
Keynote Speakers
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Ken Loh, Ph.D. |
Short Bio
Dr. Ken Loh is a Professor and Vice Chair of the Department of Structural Engineering at UC San Diego. He is the Director of the Active, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Lab and is the Associate Director of the UC San Diego, Jacobs School of Engineering, Center for Extreme Events Research (CEER). He is also an affiliate faculty member of the Materials Science & Engineering Program and the Center for Wearable Sensors. His research interests are in multifunctional and stimuli-responsive materials, tomographic imaging techniques, wearable sensors, active metamaterials, and soft material actuators. His group is particularly interested in research problems related to structural health monitoring and human performance assessment. Dr. Loh received his B.S. in Civil Engineering from Johns Hopkins University in 2004. His graduate studies were at the University of Michigan, where he completed two M.S. degrees in Structural Engineering (2005) and Materials Science & Engineering (2008), as well as a Ph.D. in Structural Engineering in 2008. He started his Assistant Professor career in January 2009 in the Department of Civil & Environmental Engineering at UC Davis, before moving to UC San Diego in January 2016.
Title: Wearable Sensors for Human Performance Assessment and Protection
Abstract
Military service members (whether in training or deployed) and athletes are exposed to extreme conditions that jeopardize their health, safety, and performance. New sensors that enable real-time monitoring of human motion and physiological conditions will not only enhance their performance but also prevent injuries. This presentation showcases how stimuli-responsive materials coupled with unique measurement strategies/algorithms can provide new data streams and insights on human health and performance. The focus will be on recent developments in nanocomposite wearable sensors for physical and physiological monitoring. In addition, densely distributed motion and muscular engagement monitoring can be achieved when wearable sensors are coupled with tomographic methods.
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Benedetto Vigna, |
Short Bio
Benedetto Vigna is STMicroelectronics’ President, Analog, MEMS and Sensors Group, and has held this position since January 2016. He is a member of ST’s Executive Committee since May 31st, 2018. Vigna joined ST in 1995 and launched the Company’s efforts in MEMS. Under his guidance, ST’s MEMS sensors established the Company’s leadership with large OEMs in motion-activated user interfaces. Vigna has piloted ST’s successful moves into microphones, e-compasses, and touch-screen controllers, as well as environmental sensors, micro-actuators, industrial and automotive sensors, and low-power radios for IoT. Vigna’s mandate was further expanded with analog ICs and RF products (2011) and smart-power devices for OEMs and mass market (2016). ST’s Imaging division moved under his management in late 2017. Vigna has more than 200 patents on micromachining, authored numerous publications, and sits on the boards of several EU-funded programs. Vigna’s contributions to the industry have been recognized with the MEMS Industry Group’s Executive of the Year Award (2013), the European SEMI Award (2013), the IEEE Frederik Philips Award (2015), and Manager of the Year 2017 by German magazine Markt & Technik. He joined the MEMS & Sensor Industry Group board in June 2019. Since February 2020, Vigna has been a member of Electronics Cluster Advisory Board (CAB) for the Agency for Science, Technology and Research (A*STAR) of Singapore. Since June 2020 he is also Member of the Board of Technical Advisors of Leonardo Company. Benedetto Vigna was born in Potenza, Italy, in 1969, and graduated cum laude with a degree in Subnuclear Physics from the University of Pisa, Italy.
Title: Sensors Enable Next Wave of Artificial Intelligence
Abstract
Semiconductor industry is only sixty years old. At the beginning the technical community started to integrate successfully on silicon many transistors aiming to mimic the function of the brain, the memory and the muscle of human beings. In the nineties instead new components, such as variable capacitors, variable resistors and photodiodes, started to become the core of miniaturized silicon sensors meant to mimic the five senses of human beings. In the last three decades, the pace of sensor development accelerated thanks to the progresses in microfabrication techniques and successful high-volume market applications. Nowadays transducers are all around us: in cars, in smartphones, in factories, in printers, in tablets, in satellites, in drones, in smart speakers, in watches and even in medical patches and shoes. There is no doubt we are living interesting times with many challenges and many opportunities in front of us. Internet of Things, Artificial Intelligence, 5G networks will boost the GDP of many countries and will enable new business models. Within the frame of this new blurred world, micromachined silicon sensors will play even a more important role than today. The world parameters, such as vibrations, sound, atmospheric pressure, pollution level, will reach the digital world without the need of people typing on a keyboard or moving a mouse or touching an advanced display. We are entering the wave of Sensing and Autonomous Artificial Intelligence and we need to pay attention that the Sensorization of the world around us will not limit our freedom, free will and our critical thinking. This talk will address the major milestones of the development of the sensors in the last three decades and which sensor features are required by the next waves of Artificial Intelligence.
ECSA-7 Live Sessions Information
ECSA-7 Live Sessions Programs
Nov 16, 2020
Session 1
Date: 16 November 2020
Time: 09:00am (CET) | 03:00am (EDT) | 04:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Conference Chair Stefano Mariani, Politecnico di Milano |
Initial Greeting |
9:00am – 9:10am |
Selected Presentations from Session A: Chemo- and Biosensors |
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Esther Hontañón |
Electrospray Printing of Graphene Layers for Chemiresistive Gas Sensors |
9:10am – 9:30am |
Shashikanth Chakilam |
Morphological Study of Insect Mechanoreceptors to Develop Artificial Bio-inspired Mechanosensors |
9:30am – 9:50am |
Steffen Hadeler |
Transfer Printing of Conductive Thin-Films on PDMS with Soluble Substrates for Flexible Biosensors |
9:50am – 10:10am |
Lakshmi Devi Chakkarapani |
10:00am – 10:20am |
|
Open Discussions |
10:20am – 10:45am |
|
Short Break |
10:45am – 11:00am |
|
Invited Speaker Benedetto Vigna, STMicroelectronics Conference Chair Stefano Mariani, Politecnico di Milano |
Sensors Enable Next Wave of Artificial Intelligence |
11:00am – 11:40am |
Open Discussions |
11:40am – 12:00am |
Nov 20, 2020
Session 2
Date: 20 November 2020
Time: 10:00am (CET) | 04:00am (EDT) | 05:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Session Chair Silvia Diaz Lucas, Public University of Navarre |
Initial Greeting |
10:00am – 10:05am |
Selected Presentation from Session S5: Women in Sensors |
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Rongrong Liu |
Wearable Wireless Biosensors for Spatiotemporal Grip Force Profiling in Real Time |
10:05am – 10:25am |
Short Break & Open for Discussions |
10:25am – 10:35am |
|
Session Chair Sabina Merlo, University of Pavia |
Greeting from Optical Sensors |
10:35am – 10:40am |
Selected Presentations from Session S4: Optical Sensors |
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Mohammed Majeed Alkhabet |
Highly Sensitive Hydrogen Sensor Based on Palladium-Coated Tapered Optical Fiber at Room Temperature |
10:40am – 11:00am |
Katiuski Pereira |
Simulation of FBG Temperature Sensor Array for Oil Identification via Random Forest Classification |
11:00am – 11:20am |
Short Break & Open for Discussions |
11:20am – 11:30am |
|
Conference Chair Stefano Mariani, Politecnico di Milano |
Greeting from Applications |
11:30am – 11:35am |
Selected Presentations from Session D: Applications |
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Stefano Lumetti |
Analytical Scheme for the Calibration of Magnetic Position Systems |
11:35am – 11:55am |
Onur Toker |
11:55am – 12:15am |
|
Open for Discussions |
12:15am – 12:30am |
Nov 20, 2020
Session 3
Date: 20 November 2020
Time: 03:00pm (CET) | 09:00am (EDT) | 10:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
|
Conference Chair Thomas B. Messervey, Research to Market Solution s.r.l. |
Initial Greeting |
03:00pm – 03:05pm |
|
Selected Presentations from Session A: Smart Cities |
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Timo Ruohomäki |
Defining Data-Driven Analytical Methods on Improving Energy-Efficiency in Apartment Buildings |
3:05pm – 3:25pm |
|
Rosa Ma Alsina-Pages |
Sons al balcó: Soundscape Map of the Confinement in Catalonia |
3:25pm – 3:45pm |
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Conference Chair Alberto Vallan, Politecnico di Torino |
Brief Introduction for Physical Sensors |
3:45pm – 3:50pm |
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Selected Presentation from Session B: Physical Sensors |
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Ali Ahaitouf |
Impact of the Sensor Temperature On Low Acetone Concentration Detection Using AlGaN/GaN HEMTs
|
3:50pm - 4:10pm |
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Session Chairs Alberto Vallan, Politecnico di Torino Carlo Massaroni, Università Campus Bio-Medico di Roma |
Brief Instructions for Session S2: Wearable Sensors |
4:10pm – 4:20pm |
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Selected Presentations from Session S2: Wearable Sensors |
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Moshe Avraham |
Wafer Level Packaged CMOS-SOI-MEMS Thermal Sensor at Wide Pressure Range for IoT Applications |
4:20pm – 4:40pm |
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Oleksandr Makeyev |
4:40pm – 5:00pm |
Nov 23, 2020
Session 4
Date: 23 November 2020
Time: 04:00pm (CET) | 10:00am (EDT) | 11:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Session Chair Yashar Eftekhar Azam, University of Nebraska-Lincoln |
Initial Greeting |
04:00pm – 4:05pm |
Invited Speaker Ken Loh, University of California San Diego |
Wearable Sensors for Human Performance Assessment and Protection |
4:05pm -4:45pm |
Short Break & Open for Discussions |
4:45pm – 4:55pm |
|
Selected Presentations from Session S1: Structural Health Monitoring Technologies and Sensor Networks |
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Stefan Bosse |
5:00pm – 5:20pmam |
|
Carlos Gil |
A Sensor Data-Based Approach for The Definition of Condition Taxonomies for A Hydraulic Pump |
5:20pm – 5:40pm |
Luca Rosafalco |
A Time Series Autoencoder for Load Identification via Dimensionality Reduction of Sensor Recordings |
5:40pm – 6:00pm |
Nov 24, 2020
Session 5
Date: 24 November 2020
Time: 10:00am (CET) | 04:00am (EDT) | 05:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Conference Chair Stefano Mariani, Politecnico di Milano |
Initial Greeting |
10:00am – 10:05am |
Presentations from Session S6: Student Session |
||
Marco César Prado Soares |
Smartphone-Based Optical Fiber Sensor for the Assessment of a Fed-Batch Bioreactor |
10:05am – 10:20am |
Gerardo José Ginovart-Panisello |
10:20am – 10:35am |
|
Rok Novak |
Complex Activity Recognition Using Wearable Airborne Particulate Matter and Motion Sensor Data |
10:35am – 10:50am |
Madhumitha Pandiaraja |
11:00am – 11:15am |
|
Harini Senthilnathan |
Breath Sounds as A Biomarker for Screening Infectious Lung Diseases |
11:15am – 11:30am |
Aida Vidal-Balea |
11:30am – 11:45am |
|
Valentina Bello |
A Nir-Spectroscopy-Based Approach for Detection of Fluidsin Rectangular Glass Micro-Capillaries |
11:45am – 12:00am |
Matteo Torzoni |
12:00am – 12:15am |
|
Thiago Cabral |
Pipeline Bonded Joints Assemble and Operation Health Monitoring with Embedded FBG Sensors |
12:15am – 12:30am |
Nov 30, 2020
Session 6
Date: 30 November 2020
Time: 10:00am (CET) | 04:00am (EDT) | 05:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Conference Chair Francisco Falcone, Public University of Navarre |
Initial Greeting |
10:00am – 10:05am |
Selected Presentations from Session C: Sensor Networks |
||
Javier Díez-González |
10:05am – 10:25am |
|
Kundan Kumar |
Nonlinear Filter for a System with Randomly Delayed Measurements and Inputs |
10:25am – 10:45am |
Open for Discussions & Short Break |
10:45am – 10:55am |
|
Selected Presentations from Session D: Applications |
||
Preethi Preethichandra |
Experimental Study on Cabin Carbon Dioxide Concentration in Light Passenger Vehicles |
10:55am – 11:15am |
Miguel Enrique Bravo Zanoguera |
11:15am – 11:35am |
|
|
Open for Discussions |
11:35am – 11:45am |
|
Ending Ceremony |
11:45am – 12:30am |
ECSA-7 Recordings
In this section, you will find the recordings of the Live Sessions to watch, re-watch and share with your colleagues!
Session 1 - 16 November 2020
Session 2 - 20 November 2020 at 10.00am CET
Session 3 - 20 November 2020 at 3.00pm CET
Session 4 - 23 November 2020
Session 5 - 24 November 2020
Session 6 - 30 November 2020
Conference Chairs
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Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
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CEO and Co-Founder, Research to Market Solution s.r.l.,
Italy
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Department of Electronics and Telecommunications Politecnico di Torino, Turin, Italy
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Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany
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Department of Electrical and Electronic Engineering, Public University of Navarre, Spain
Conference Committees
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Francesc Pozo received the degree in mathematics from the University of Barcelona, Barcelona, Spain, in 2000, and the Ph.D. degree in applied mathematics from the Universitat Politècnica de Catalunya, Barcelona, in 2005. Since 2000, he has been with the Department of Mathematics and the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya, where he is currently an Associate Professor with the Control, Modeling, Identification and Applications Research Group (CoDAlab). He is also a Teaching Collaborator at the Open University of Catalonia, Barcelona. His research interests include wind turbine control, semiactive vibration mitigation in civil engineering structures (buildings and bridges), automotive and aeronautic systems, and offshore support structures, structural health monitoring (SHM) and condition monitoring (CM) for wind turbines and, in general, the application of applied mathematics in engineering problems. Dr. Pozo serves as a Secretary of the Spanish Joint Chapter of the IEEE Control Systems S
His research interests include wind turbine control, semiactive vibration mitigation in civil engineering structures (buildings and bridges), automotive and aeronautic systems, and offshore support structures, structural health monitoring (SHM) and condit
![](/events_files/333/committee/5d15010a25e3d6adc445c2ef04e9217e.png?1723861319)
Department of Electrical, Electronic and Telecommunication Engineering and Naval Architecture, University of Genova, Italy
Embedded Integrated Circuits for Telecommunications; Electronic/artificial sensitive skin; Embedded electronic systems for tactile sensors; Tactile sensing systems for prosthetics and robotics; Neuromorphic touch sensors
maurizio.valle@unige.it
![](/events_files/333/committee/2824781589eea020575014dee2aaddcd.jpeg?1723861319)
Distinguished University Professor,
Senior Canada Research Chair in Information Technology,
Canada
Distinguished University Professor Senior Canada Research Chair in Information Technology Director, Micro- and Nano-Systems Laboratory President - Academy of Science, Royal Society of Canada (2015-17) Electrical and Computer Engineering Department, ITB 104 McMaster University, 1280 Main Street West Hamilton, ON L8S 4K1, CANADA URL: www.ece.mcmaster.ca/~jamal
Microelectronics, Nanoelectronics and Opto-electronics
jamal@mcmaster.ca
![](/events_files/333/committee/1c8aaa7e3df42e17991d61023be6edd7.jpeg?1723861319)
eftekhar-azam@unl.edu
![](/events_files/333/committee/48ad700582754c14aeb12ccf2b45e82e.png?1723861319)
c.massaroni@unicampus.it
![](/events_files/333/committee/88d8ba4459d591a804c5ca992d5c42ac.png?1723861319)
Department of Electrical, Computer and Biomedical Engineering, University of Pavia
Sabina Merlo was recipient of a Rotary Foundation Graduate Scholarship for study at the University of Washington, Seattle, WA, USA, and received the M.S.E. degree in bioengineering in 1989 from the same university. She then received the Ph.D. degree in electronic engineering from the University of Pavia, Italy, in 1991. She became an Assistant Professor in 1993, Associate Professor in 2001 and Full Professor of Electrical and Electronic Measurements in 2018 in the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia. Her main research interests include optical measurements on micromachined and microfluidic devices, optical interferometry, chaos in lasers, fiber-optic passive components and sensors, and optical biosensors. She holds four patents and is the coauthor of more than 150 publications in journals, books and conference proceedings. She is an Associate Editor of MDPI Sensors and Micromachines as well as of IEEE/AMSE JMEMS.
sabina.merlo@unipv.it
![](/events_files/333/committee/6b5e7d5abcfcc47b29f70d38aee8c41d.jpeg?1723861319)
Department of Communications, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain,
Chair of the Integrated Management Coastal Research Institute (IGIC)
Prof. Jaime Lloret (jlloret@dcom.upv.es) received his B.Sc.+M.Sc. in Physics in 1997, his B.Sc.+M.Sc. in electronic Engineering in 2003 and his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He worked as a network designer and administrator in several enterprises. He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) and he i
jlloret@dcom.upv.es
![](/events_files/333/committee/e47e985f728bf38fc254048c6e456581.jpeg?1723861319)
School of Industrial and Telecommunications Engineering (ETSIIT), Santander, Spain
Prof. Lucas is Deputy Director of the School of Industrial and Telecommunications Engineering (ETSIIT), being responsible of the Bachelor in Telecommunications Technologies Engineering. She is also a member of the Board of the ETSIIT.
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Inorganic Chemistry Department, Universitat de València, Doctor Moliner, Spain
Interests: sensors; optical chemosensors; dyes; nanomaterials; optoelectronic noses and tongues
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Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Canada
Jonathan joined the Department in 2007 and his research interests lie mainly in the areas of remote sensing and geographical information science including topographic and thematic mapping from satellite imagery, airborne and terrestrial mobile laser scanning, remote sensing of inland and coastal waters, GIS and web mapping, terrain analysis in hydrogeography and hazard mapping.
mobile laser scanners; multispectral lidar; bathymetric lidar, digital cameras; synthetic aperture radar (SAR); optical/lidar/SAR data processing; applications of optical/lidar/SAR in urban mapping; hazard mapping; shoreline mapping; marine pollution trac
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Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy
https://www.ing1.unipg.it/ricerca/gruppi-di-ricerca/tecnica-delle-costruzioni/filippo-ubertini
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Fraunhofer Institute for Manufacturing Technology and Advanced Materials (IFAM), Bremen, Germany
https://www.researchgate.net/profile/Dirk_Lehmhus
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https://www.mae.ust.hk/en/people/faculty/detail/ciucci-francesco
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Michael Ortner received a phd in theoretical physics in 2011 from the Leopold-Franzens university of Innsbruck. In 2012 he started as a researcher at the public research institute CTR working on magnetic sensors, systems and their industial applications. Since 2019 he is employed as staff scientist at the Silicon Austria Labs continuing his work on magnetics.
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Department of Public Health and Primary Care, University of Cambridge, UK
Peter Charlton is a British Heart Foundation Research Fellow in the Department of Public Health and Primary Care, at the University of Cambridge, and the Research Centre for Biomedical Engineering, at City, University of London. He specialises in the development of biomedical signal processing techniques for use in wearables to aid clinical decision making. He gained the degree of M.Eng. in Engineering Science in 2010 from the University of Oxford. From 2010 to 2020, Peter conducted his research at King’s College London (KCL), developing techniques to continuously monitor respiratory and cardiovascular health using wearable sensors. His Ph.D. focused on using signal processing and machine learning techniques to identify acute deteriorations in hospital patients. In 2020, Peter was awarded a five-year fellowship to develop techniques to use clinical and consumer devices to enhance screening for atrial fibrillation. He works in collaboration with clinicians and industrial partners to translate his work into clinical practice. He was awarded the Martin Black Prize for the best paper in Physiological Measurement in 2016, and the Best Early Career Researcher Award at the 2018 BioMedEng Conference (London, UK). He is a member of the Editorial Board for Physiological Measurement, and a member of the Institute of Physics and Engineering in Medicine.
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Department of Imaging Methods Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovak Republic
Jiří PŘIBIL was born in 1962 in Prague, Czechoslovakia. He received his MSc degree in computer engineering in 1991 and his PhD degree in applied electronics in 1998 from the Czech Technical University in Prague. At present, he is a senior scientist at the Department of Imaging Methods Institute of Measurement Science, Slovak Academy of Sciences in Bratislava. He is oriented to the sphere of analysis and synthesis of acoustic signals, implementation algorithms and their processing with utilization of signal processors, information system creation.
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Department of Technologies of Computers and Communications, University of Extremadura, Spain
Juan A. Gomez-Pulido received the Ph.D. degree in physics, electronics specialty, from the Complutense University, Madrid, Spain, in 1993. He is currently professor of computer organization and design of processors in the Department of Technology of Computers and Communications, University of Extremadura, Spain. He has authored or co-authored 60 ISI journals, tens of book chapters, and more than two hundred peer-reviewed conference proceedings.
wireless sensor networks, reconfigurable and embedded computing based on FPGA devices, mobile computing, machine learning applied to big-data analysis, optimization, and evolutionary computing
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Carinthia Institute for Smart Materials and Manufacturing Technologies (CiSMAT), Villach, Austria
Pascal Nicolay was born in Metz, France, in 1977. He received an Engineering Diploma in 2001 from the Ecole Nationale Supérieure en Génie des Systèmes Industriels (ENSGSI), Nancy, France. He then received his M.Sc. (2004) and Ph.D. (2007) in applied physics from the University of Lorraine. In 2018, he received his Habilitation from the University of Technology of Compiègne. Pascal worked four years (2001-2004) as a Chargé d'Affaires for the French Innovation Agency (OSEO). He then worked three years (2008-2011) for TDK-EPCOS and eight years (2011-2019) for CTR (Carinthian Tech Research AG), as an R&D Project Manager in the field of SAW RF Filters and SAW Wireless Sensors. In 2019, he joined the Carinthia University of Applied Science, and is now director of the Carinthia Institute for Smart Materials and Manufacturing Technologies (CiSMAT). He currently holds a KWF-endowed Professorship for Smart Materials.
![](/events_files/333/committee/10b5f658b777b6da2db4edaeff8e493a.jpeg?1723861319)
Research Group of Media Technologies, La Salle - Universitat Ramon Llull, Barcelona, Spain
Dra. Rosa Ma Alsina-Pagès is an Ass. Professor in the Research Group of Media Technologies since September 2015, where she coordinates the Signal Processing Research Line. She is now the Director of Research of La Salle Campus Barcelona. She received her MSc degree in Electronics and in Telecommunications in 2002 and 2004, respectively, from La Salle, Universitat Ramon Llull, in Barcelona; later she received her Humanities Degree in 2011 from Universitat Oberta de Catalunya. In 2003 she received a Project Management MSc Degree from La Salle - URL. She received her PhD in Telecommunications Engineering in July 2012 with a PhD thesis about signal processing in HF long haul link, in La Salle - URL (with honors). Her research interests nowadays are in digital signal processing, especially in acoustic and adaptive signal processing. Since 2016, she leaded La Salle team in DYNAMAP, a LIFE+ project which goal is the dynamic noise mapping in urban environments. She is nowadays leading a several research projects in the field of home noise mapping and in the acoustic detection of vocalization of animals in farm environments, as well as noise perception in urban environments.
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Department of Mechanical Engineering, Politecnico di Milano, Italy
Prof. Francesco Braghin is Full Professor in Applied Mechanics at the Politecnico di Milano since 2015. Author of 250 scientific publications and responsible for several projects / research contracts, his latest research is carried out in the field of vehicle dynamics (road and railway) and mechatronics. In particular, as regards road vehicles, research deals with the modeling of tires and their interaction with the soil and the application of optimal control algorithms to the design of hybrid and electric vehicles as well as to the development of fully autonomous vehicles. Instead, as regards mechatronics, the research focuses on the development of integrated solutions in different application fields (from MEMS sensors to integrated sensor nodes to smart components) as well as on the development and use of passive and active metamaterials for vibration isolation.
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Department of Mechanical Engineering,
Director of the Intelligent Materials Laboratory, School of Engineering,
The Catholic University of America
Dr. Jandro L. Abot is an Associate Professor of Mechanical Engineering and the Director of the Intelligent Materials Laboratory at the School of Engineering of The Catholic University of America (Catholic University). He was previously an Assistant Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Cincinnati. Prior, he was a Post-Doctoral Fellow at Northwestern University, where he received the Ph.D. and M.S. degrees in Theoretical and Applied Mechanics. He had previously earned a six-year degree in Structural Engineering from the Universidad de la República in Montevideo, Uruguay. Dr. Abot’s expertise is on experimental mechanics, the science and technology of composite materials and carbon nanotube fibers and the structural health monitoring of structures. He leads a multidisciplinary research group at Catholic University that is currently dedicated to the advancement of carbon nanotube fibers and their development into sensors. He is the author or co-author of more than one hundred and thirty technical papers and has been serving as editor or guest editor of Sensors and the Journal of Carbon Research. He is the recipient of several research awards from the National Aeronautics and Space Administration, the Department of State, and the Air Force Office of Scientific Research, and a collaborator with colleagues all around the world. He has served as the main advisor of more forty doctoral and masters’ students, taught more than twenty different engineering courses, and advised more than two hundred mechanical or aerospace engineering undergraduate students. He is an active member of the American Society for Composites, the American Society of Mechanical Engineers and the American Society for Engineering Education. Dr. Abot also serves in several academic areas including mentoring, recruitment, inclusion and international programs.
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Dr. Jiayue Shen received her Ph.D. degree in Mechanical Engineering from Old Dominion University, U.S., in 2018. In the same year, she joined the engineering technology department at SUNY Polytechnic Institute as an Assistant Professor. Since 2012, she teaches various courses in fundamental electronics, electrical control, mechatronics, material science, mechanical components and thermodynamics, and so on. Her main research interests are the development and characterization of physical sensors for biomedical diagnosis, soft robotics, and structural health monitoring application; Analytical and experimental study of micromechanics critical for sensor performance; the integration of wireless technology to the sensing system. She published a couple of journal papers and conference proceedings and served as reviewers for several journals and international conferences. Also, she has been serving as a conference committee member of the 2019 2nd International Conference on Smart Sensing and Intelligent System.
![](/events_files/333/committee/5bf183ed6d9cf8679c609a16bc793e83.jpeg?1723861319)
Department of Biomedical Microsystems, Fraunhofer Institute for Biomedical Engineering (IBMT), Germany
Yves Olsommer studied electrical engineering at the Franco-German Institute for Technology and Business (ISFATES-DFHI). He received his B.Sc. (2014) and M.Sc. (2016) from the University of Applied Sciences in Saarbrücken, Germany and the University of Lorraine, Metz, France. Then, he worked for one year (2017-2018) as testing manager in the field of radio communication and electromagnetic compatibility (EMC) at CTC advanced GmbH, Saarbrücken, Germany. He is currently working as a research associate at the Fraunhofer Institute for Biomedical Engineering (IBMT), Sulzbach, Germany, in the Department of Biomedical Microsystems. Since 2019, he is doing his PhD in collaboration with the Faculty of Natural Sciences and Technology at Saarland University, Saarbrücken, Germany. His research focuses on the investigation of nonlinear and intrinsic properties of electronic components for the development of frugal and reliable implantable systems.
![](/events_files/333/committee/4df7733d32a0aa7b28523d5bc236e725.png?1723861319)
Department of Experimental Medicine , University of Campania "Luigi Vanvitelli", Italy
Maria Lepore graduated (cum laude) in Physics at the University of Bari and received her PhD degree discussing a thesis on high-energy laser applications in nonlinear optics. She is currently an Associate Professor at the Department of Experimental Medicine of the University of Campania "Luigi Vanvitelli". Her research activity concerns multiphoton interaction processes; optical properties of biological samples and biomaterials; design and development of optical biosensors for clinical, environmental and agri-food applications; laser safety in research laboratories and clinical settings; optical spectroscopies and biophotonics. In the course of her activity she collaborated with several national and international research groups. She is a member of Italian Physics Society.
Call for Papers
7th International Electronic Conference on Sensors and Applications
The 7th International Electronic Conference on Sensors and Applications will be held from 15 to 30 November 2020 in the internet environment. This event will solely be an online proceeding which allows the participation from all over the world with no concerns of travel and related expenditures, while at the same time making rapid and direct exchanges about the latest research findings and novel ideas in sensors. All proceedings will be held online at https://ecsa-7.sciforum.net/ and in Journal Engineering Proceedings.
In addition, there will be several webinars organized during the conference.
The conference aims to bring the scientists working in the field onto a common platform and promote and advance the exciting and rapidly changing field of sensing technologies and applications along with the following four main themes:
- Chemo and Biosensors (Session A)
- Physical Sensors (Session B)
- Sensor Networks (Session C)
- Applications (Session D)
and five specific sessions:
- S1. Structural Health Monitoring Technologies and Sensor Networks
- S2. Wearable Sensors
- S3. Smart Cities
- S4. Optical Sensors
- S5. Women in Sensors
and also a Poster session. Posters can be presented without an accompanying proceedings paper and will be available online on this website during and after the e-conference. However, they will not be added to the proceedings of the conference.
Further, a newly added award in the form of a student competition will also be held online for selected students’ contributions (students as correspondences) exhibited in the Student Session. For more details regarding the competition, please check https://sciforum.net/conference/ecsa-7#awards.
Paper Submission Guidelines
For information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": https://ecsa-7.sciforum.net/#instructions.
Time Schedule
- Abstract Submission: 10 September 2020 25 September 2020
- Notification of Acceptance: 15 September 2020 30 September 2020
- Proceedings Paper Submission Deadline: 12 October 2020 26 October 2020
- Conference Open: 15-30 November 2020
Instructions for Authors
Submissions should be done by the authors online by registering with https://sciforum.net/, and using the "Start New Submission" function once logged into system.
- Scholars interested in participating with the conference can submit their abstract (about 200-300 words covering the areas of manuscripts for the proceedings issue) online on this website until 25 September 2020.
- The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the authors of the abstract will be welcome for the 7th International Electronic Conference on Sensors and Applications. All authors will be notified by 30 September 2020 about the acceptance of their abstract.
- If the abstract is accepted for this conference, the author is asked to submit the manuscript, optionally along with a PowerPoint and/or video presentation of his/her paper (only PDF), until the submission deadline of 26 October 2020.
- The conference proceedings papers and presentations will be available on https://ecsa-7.sciforum.net/ for discussion during the time of the conference 15–30 November 2020 and will be published in Journal Engineering Proceedings.
- The Open Access Journal Sensors will publish Special Issue of the conference and accepted papers will be published in the proceedings of the conference itself. After the conference, the Conference Committee will select manuscripts that may be included for publication in the Special Issue of the journal Sensors (the submission to the journal is independent from the conference proceedings and will follow the usual process of the journal, including peer-review, APC, etc.).
Manuscripts for the proceedings issue must have the following organization:
First page:
- Title
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Abstract (200-250 words)
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Manuscripts should be prepared in MS Word or any other word processor and should be converted to the PDF format before submission. The publication format will be PDF. The manuscript should count at least 3 pages (incl. figures, tables and references) and should not exceed 6 pages.
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the Manuscript. Slides, if available, will be displayed directly in the website using Sciforum.net's proprietary slides viewer. Slides can be prepared in exactly the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.
Submission: Manuscripts should be submitted online at https://sciforum.net/login by registering and logging in to this website.
Accepted File Formats
- MS Word: Manuscript prepared in MS Word must be converted into a single file before submission. When preparing manuscripts in MS Word, the 7th Electronic Conference on Sensors and Applications Microsoft Word template file (see download below) must be used. Please do not insert any graphics (schemes, figures, etc.) into a movable frame which can superimpose the text and make the layout very difficult.
- LaTeX: Manuscripts prepared in LaTeX must be collated into one ZIP folder (include all source files and images, so that the Conference Secretariat can recompile the submitted PDF). When preparing manuscripts in LaTeX, please use the 7th Electronic Conference on Sensors and Applications LaTeX template files.
![](https://sciforum.net/bundles/sciforumversion2/images/icon/drive-download.png)
- Paper Format: A4 paper format, the printing area is 17.5 cm x 26.2 cm. The margins should be 1.75 cm on each side of the paper (top, bottom, left, and right sides).
- Paper Length: The conference proceedings paper should not be longer than 6 pages. The conference manuscript should be as concise as possible.
- Formatting / Style: The paper style of the Journal Proceedings should be followed. You may download the template file to prepare your paper (see above). The full titles and the cited papers must be given. Reference numbers should be placed in square brackets [ ], and placed before the punctuation; for example [4] or [1-3], and all the references should be listed separately and as the last section at the end of the manuscript.
- Authors List and Affiliation Format: Authors' full first and last names must be given. Abbreviated middle name can be added. For papers written by various contributors a corresponding author must be designated. The PubMed/MEDLINE format is used for affiliations: complete street address information including city, zip code, state/province, country, and email address should be added. All authors who contributed significantly to the manuscript (including writing a section) should be listed on the first page of the manuscript, below the title of the article. Other parties, who provided only minor contributions, should be listed under Acknowledgments only. A minor contribution might be a discussion with the author, reading through the draft of the manuscript, or performing English corrections.
- Figures, Schemes and Tables: Authors are encouraged to prepare figures and schemes in color. Full color graphics will be published free of charge. Figure and schemes must be numbered (Figure 1, Scheme I, Figure 2, Scheme II, etc.) and a explanatory title must be added. Tables should be inserted into the main text, and numbers and titles for all tables supplied. All table columns should have an explanatory heading. Please supply legends for all figures, schemes and tables. The legends should be prepared as a separate paragraph of the main text and placed in the main text before a table, a figure or a scheme.
It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section.
MDPI, the publisher of the Sciforum.net platform, is an open access publisher. We believe that authors should retain the copyright to their scholarly works. Hence, by submitting a Communication paper to this conference, you retain the copyright of your paper, but you grant MDPI the non-exclusive right to publish this paper online on the Sciforum.net platform. This means you can easily submit your paper to any scientific journal at a later stage and transfer the copyright to its publisher (if required by that publisher).
Authors are also encouraged to submit video presentations. If you are interested in submitting a video presentation, please contact the conference organizer at ecsa@mdpi.com to find out more about the procedure. This is a unique way of presenting your paper and discussing it with peers from all over the world. Make a difference and join us for this project!
- The video should be no longer than 10 minutes and be prepared with the following formats: .MOV; .MPEG4; .MP4; .AVI; .WMV; .MPEGPS; .FLV.
- The video should be submitted via ecsa@mdpi.com before 26 October 2020.
We also invite you to participate in our webinars to present your research. If you are interested in it, please do not hesitate to contact us at ecsa@mdpi.com, the speakers of webinars will be selected from the applicants. The details of the webinars and speaker list will be announced by 10 November 2020.
Posters will be available on this conference website during and after the event. Like papers presented at the conference, participants will be able to ask questions and make comments about the posters. Posters can be presented without an accompanying proceedings paper and will be available online on this website during and after the e-conference. However, they will not be added to the proceedings of the conference.
List of accepted submissions (115)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-032636 | Smartphone-Based Optical Fiber Sensor for the Assessment of a Fed-Batch Bioreactor | , , , , , | N/A |
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Industry is currently in a period of great expansion, the so-called “Industry 4.0”. It relies on the development of new sensor technologies for the generation of systems capable of collecting, distributing and delivering information. Particularly, on Chemical and Biochemical industries, the development of portable monitoring devices can improve many process parameters, like safety and productivity. In this work, the design of a smartphone-based optical fiber sensing platform for the online assessment of fed-batch fermentation systems is reported. The setup is comprised of a smartphone equipped with a 3D-printed case and an application for analyzing the pixel intensity, which is correlated to the broth refraction index (function of sucrose concentration). A sensitivity of 85.83 RIU-1 (refractive index unit) was verified, and the sensor performance was compared to a handheld refractometer and to model predictions. It showed to be a reliable, portable and low-cost instrument for online monitoring bioreactors, easily reproducible on-site by simply printing it. |
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sciforum-032950 | Detection of Velocity Based on Change in the Apparent Size | , , | N/A | N/A |
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This article discusses a concept for developing a vision-based sensing system for measuring the velocity of an object which is based on the concept of apparent size. Objects at a finite distance from the eye look smaller than their real dimension. Movement of the object causes to change in its apparent size. In this work a mathematical relation is obtained which relates infinitesimal change in apparent size to the infinitesimal change in spatial coordinates of the object in the form of an ordinary differential equation. A mechanical device is fabricated for measuring the apparent size. Then by knowing the change in apparent size due to motion, change in displacement is calculated. Experiments are conducted to measure the average velocity of a regular shaped object based on the change in its apparent size due to its motion. The average magnitude of error between average velocity calculated from the change in apparent size through the equation and from the actual displacement is about 2% and it is varying in between 0 and 5%. Results show the possibility to develop a vision sensor system to measure the velocity of objects by using high-speed cameras when the real size of the object is known and also it may be possible to develop vision velocity sensors for mobile robot applications |
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sciforum-032971 | Adaptation and Selection techniques based on Deep Learning for Human Activity Recognition using Inertial Sensors | , , | N/A |
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Deep learning techniques have been widely applied to Human Activity Recognition (HAR), but a specific challenge appears when HAR systems are trained and tested with different subjects. Each user presents different patterns when performing several physical activities, so HAR systems should adapt the activity models trained with some users’ data to new subjects. This paper describes and evaluates several techniques based on deep learning algorithms for adapting and selecting the training data used to generate a HAR system using accelerometer recordings. This paper proposes two alternatives to adapt and select the training data: autoencoders and Generative Adversarial Networks (GANs). Both alternatives are based on deep neural networks including convolutional layers for feature extraction and fully-connected layers for classification. Fast Fourier Transform (FFT) is used as a transformation of acceleration data to provide an appropriate input data to the deep neural network. This study has used acceleration recordings from hand, chest and ankle sensors included in the PAMAP2 dataset. This is a public dataset including recordings from nine subjects while performing 12 activities such as walking, running, sitting, ascending stairs or ironing. The evaluation has been performed using a Leave-One-Subject-Out cross-validation: all recordings from a subject are used as testing subset and recordings from the rest subjects are used as training subset. The obtained results suggest that strategies using autoencoders to adapt training data to test data improve the general performance. Moreover, training data selection algorithms with autoencoders also provide improvements. The GAN approach, using the discriminator module, provides a significant improvement in adaptation experiments. |
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sciforum-033182 | Intelligent plant disease identification system using Machine Learning |
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Vijayalakshmi S
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N/A | N/A |
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Agriculture is the backbone of each and every country in the world. In India, most of the rural population still depends on agriculture. The agricultural sector provides major employment in rural areas. Further, it contributes a significant amount to India’s Gross Domestic Product (GDP). So, protecting and enhancing the agricultural sector helps in developing India’s economy. In this work, a real-time decision support system integrated with camera sensor module is designed and developed for identification of plant disease. Further, the performance of three machine learning algorithm such as Extreme Learning Machine (ELM), Support Vector Machine (SVM) with linear and polynomial kernels is analyzed. Results demonstrate that the performance of extreme learning machine is better when compared to the adopted support vector machine classifier. Also, it is observed that the sensitivity of support vector machine with polynomial kernel is better when compared to the other classifiers. This work appears to be of high social relevance since the developed real-time hardware is capable of detecting different plant diseases. |
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sciforum-033310 | Technical and Economic Viability Analysis of Optical Fiber Sensors for Monitoring Industrial Bioreactors | , , , , , | N/A |
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Bioreactors are employed in several industries, such as pharmaceutics, energy, biomedic and food. To ensure the proper operation of these bioreactors, Enzyme-Linked Immunosorbent Assay (ELISA) and High-Performance Liquid Chromatography (HPLC) systems are commonly used. Although ELISA and HPLC provide very precise results, they are incapable of real-time monitoring and present high operational costs. Given this context, in this work we discuss the technical and economic viability of implementing fiber optics based monitoring systems in lieu of traditional ELISA and HPLC systems. We have selected fed-batch ethanol fermentative systems for our analysis, as fermentative system are not only very prevalent in different industries, but ethanol production represents a major sector of the Brazilian economy, with an annual production in excess of 35 billion liters. A simple fiber sensing system for measuring the refractive index of the fermentation broth, capable of real-time monitoring the fermentation process, is proposed and the advantages of real-time process control are discussed. Afterwards, we present the long-term economic gains of implementing such a system. We estimate that, by using readily commercially available components, the typical Brazilian ethanol plant will see a return for their investment in a time as short as 50 days, and a 5-year Internal Rate of Return (IRR) of 742% by setting up a fiber optic monitoring system over HPLC. With the provided list of components, these numbers can be easily adjusted for industries worldwide, providing incredibly attractive economic prospects. |
Conference Secretariat
Ms. Stefanie Tian
MDPI Branch Office, Beijing
E-Mail: ecsa@mdpi.com
Ms. Nora Zhang
MDPI Branch Office, Beijing
E-Mail: ecsa@mdpi.com
Sponsoring Opportunities
For information regarding sponsoring opportunities, please contact the conference secretariat.
A. Chemo- and Biosensors
Chemo- and Biosensors (Session A), incorporating the Special Session of the Chemosensors Journal
Session Chairs
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Dr. Jose Vicente Ros Lis, Inorganic Chemistry Department, Universitat de València, Doctor Moliner, 50, 46100 Burjassot, Spain
B. Physical Sensors
Session Chair
Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy
C. Sensor Networks
Session Chair
Dr. Francisco Falcone, Department of Electrical and Electronic Engineering, Public University of Navarre, Pamplona, Spain
D. Applications
Session Chairs
Dr. Stefan Bosse, Department of Computer Science, University of Bremen, and Faculty Computer Science, University of Koblenz-Landau, Germany
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
P. Posters
Show all published submissions (15) Hide published submissions (15)
Submissions
List of Papers (15) Toggle list
S1. Structural Health Monitoring Technologies and Sensor Networks
Structural health monitoring (SHM) of civil structures and infrastructure aims at detecting any potential damage, leading to an irreversible reduction of their stiffness and strength characteristics and, possibly, to catastrophic events. As changes in the mechanical properties cannot be directly sensed, SHM systems perform data analytics on measurements to indirectly identify the damage. SHM can therefore be seen as the analysis of sensor data from operating structural systems to extract information used in the decision-making process. The goal of this session is to collect contributions in the disciplines of physical sensors and also computer science and engineering. Experimental and theoretical works are both welcome, with the aim of moving towards the design of robust and resilient smart sensing strategies, and of effectively extracting information from raw data acquired by pervasive sensor networks.
Topics include: design and exploitation of wireless sensor networks, multifunctional materials, energy harvesting, MEMS sensors; AI-based data mining, cloud/edge/fog computing for infrastructure maintenance; model-based Big Data analytics methods, such as Kalman and particle filtering for real-time damage detection; computational modeling for infrastructure simulation, optimization and response prediction.
Session Chairs
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Dr. Yashar Eftekhar Azam, University of Nebraska-Lincoln
S2. Wearable Sensors
The market and the applications of wearable sensors are rapidly growing thanks to the widespread availability of miniaturized sensors having reduced power consumption and wide interfacing capabilities. Relevant applications of wearable sensors can be found in our everyday life both for scientific and non-scientific purposes, such as the monitoring of physiological parameters for health and for fitness assessment. Session topics include:
- development and advances of sensor technology for wearable systems
- power management and energy harvesting
- flexible sensors and related electronics and circuits
- characterization and calibration of wearable sensors
- textile integration of sensors and electronics
- smart wearable sensors
- wearable sensor for e-health, security , sport and gaming
- activity and fitness trackers
Session Chairs
Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy
Dr. Carlo Massaroni, School of Engineering, Università Campus Bio-Medico di Roma
S3. Smart Cities
Sensors, sensor networks, and the information they provide are the fundamental building block of smart cities and everything they have to offer toward improving the quality of life. This session encourages researchers worldwide to share their sensors and applications related to smart cities as we build the urban future of tomorrow. Topics are not limited to but could include smart buildings, districts and urban spaces, smart grids, environmental monitoring, transportation, infrstructure and mobility, IoT, and sensors and applications that empower citizens and improve qulity of life.
Session Chair
Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy
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S4. Optical Sensors
In the past decades, optical sensors have been deeply investigated in research labs and further developed in industries for a large variety of applications. This session on Optical Sensors is organized to host contributions coming from academic scientists, researchers and technical experts on all aspects of optical sensing. Papers are solicited on recent advancements and rising patterns in optical sensing as well as on present and future uses of optical sensors.
Session topics include:
- Novel Techniques in Optical Sensing
- Fiber Optic Sensors
- Integrated Optical Sensors
- Optical Sensors for physical and chemical parameters
- Optical Biosensors
Session Chair
Dr. Sabina Merlo, Department of Electrical, Computer and Biomedical Engineering, University of Pavia
S5. Women in Sensors
The role of women within science and engineering fields has been fundamental in its development and growth. One of the main challenges STEM-related disciplines face is to continue attracting talent, especially in the case of women scientists and engineers. This session is focused on highlighting contributions of women within research and development in the field of sensor implementation, sensor technology, and applications.
Session topics include:
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Development of sensor devices and technologies
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Novel applications of sensors
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Promotion of activities related to sensor research and development
Session Chair
Prof. Dr. Silvia Diaz Lucas, School of Industrial and Telecommunications Engineering (ETSIIT), Public University of Navarre, Navarre, Spain
S6. Student Session
For works submitted to this session, they should meet the following requirements:
1. Student himself should be the corresponding author
2. Scanned copy or photograph of the valid student ID card must be submitted together with the extended abstract
3. Presentation materials must be submitted
The chosen ones will be invited to give presentations on the webinar and the others will be redirected to the other sessions on the basis of judge by chairs.
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