8th International Electronic Conference on Sensors and Applications
Part of the International Electronic Conference on Sensors and Applications series
1–15 Nov 2021
Biosensors, Physical Sensors, Sensor Networks, Structural Health Monitoring Technologies, Chemical Sensors, Applications, Smart Cities, Wearable Sensors, Optical Sensors
- Go to the Sessions
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- A. Chemo- and Biosensors
- B. Physical Sensors
- C. Sensor Networks
- D. Applications
- P. Posters
- S1. Structural Health Monitoring Technologies and Sensor Networks
- S2. Wearable Sensors
- S3. Smart Cities
- S4. Optical Sensors
- S5. Sensing and Imaging
- S6. Positioning and Navigation
- S7. Sensing for Robotics and Automation
- S8. Ultrasonic Monitoring of Fibre Metal Laminates
- S9. Student Session
- Event Details
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- Welcome from the Chairs
- ECSA-8 Live Sessions Recordings
- Event Awards
- Keynote Speakers
- ECSA-8 Live Sessions Information
- ECSA-8 Live Sessions Programs
- List of Accepted Submissions
- Poster Panel
- Conference Secretariat
- Conference Chairs
- Sessions
- Instructions for Authors
- Sponsors and Partners
- Events in series ECSA
ECSA-8 is closed. Thank you for your participation.
The recordings of ECSA-8 live sessions are available at:
https://ecsa-8.sciforum.net/#recordings
The accepted proceedings papers will probably be published as one dedicated volume in MDPI Engineering Proceedings journal (ISSN 2673-4591) after the conference.
The ECSA-8 winners have been announced at https://ecsa-8.sciforum.net/#awards.
Welcome from the Chairs
Welcome from the Conference Chairs of the 8th International Electronic Conference on Sensors and Applications
We are pleased to announce the 8th International Electronic Conference on Sensors and Applications. After the success of the seven editions from 2014 to 2020, this year edition will focus on four thematic areas where sensors are changing science:
- Chemo- and Biosensors (Session A)
- Physical Sensors (Session B)
- Sensor Networks (Session C)
- Applications (Session D)
There will be eight specific sessions:
- S1. Structural Health Monitoring Technologies and Sensor Networks
- S2. Wearable Sensors
- S3. Smart Cities
- S4. Optical Sensors
- S5. Sensing and Imaging
- S6. Positioning and Navigation
- S7. Sensing for Robotics and Automation
- S8. Ultrasonic Monitoring of Fibre Metal Laminates
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 session 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. For more details of the competition please click https://sciforum.net/conference/ecsa-8#awards.
This event will solely be an online proceeding that allows 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 8th International Electronic Conference on Sensors and Applications is sponsored by MDPI and the scientific journal Sensors (ISSN 1424-8220, IF 3.576). The conference proceedings papers and presentations will be available on https://ecsa-8.sciforum.net/ for discussion during 1-15 November 2021 and will be published in the journal Engineering Proceedings.
Extended and expanded versions of conference proceedings papers can be submitted to Special Issue "Selected Papers from the 8th International Electronic Conference on Sensors and Applications" in journal Sensors after the conference, 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 8th edition a success—for many to come in the future.
The Chairs of the 8th 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. 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. |
ECSA-8 Live Sessions Recordings
Live Session 1
3 November 2021
Live Session 2
8 November 2021
Live Session 3
9 November 2021
Event Awards
To acknowledge the support of the conference esteemed authors and recognize their outstanding scientific accomplishments, we are pleased to launch the Best Student Award.
Winner Announcement
On behalf of the chairs of ECSA-8, we are pleased to announce the winners of the Best Contribution Awards and Best Student Award:
The Best Contribution Awards have been awarded to
- sciforum-050278, "Design and Characterization of a Passive Wireless DNA Sensor"
Haibo Xu *, Yi Jia
- sciforum-050324, "Data-centric Performance Improvement Strategies for Few-shot Classification of Chemical Sensor Data"
Bhargavi Mahesh *, Teresa Scholz, Jana Streit, Thorsten Graunke, Sebastian Hettenkofer
The Awards consist of 500 CHF each.
The Best Student Award has been awarded to
- Elia Scattolo, "Optimization of Focused Ion Beam patterning parameters for direct integration of plasmonic nanostructures on Silicon photodiode"This Award consists of 500 CHF.
The Awards
Number of Awards Available: 2
The Best Contribution Awards are 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 Awards
Sensors would like to award the two 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.This award is for a student who has joined in the online student competition of the ECSA-8.
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
Giorgio Sberveglieri, University of Brescia, Brescia, Italy |
Short Bio
After graduating in Physics with Laude from the University of Parma, he began his research by studying and producing new types of thin-film solar cells at the same University.
His research and development activity has always been focused on Applied Physics and the development of functional materials.
In 1987 he moved to the University of Brescia, shifting his activity to semiconductor oxide thin film gas sensors by developing a new growth technique called RGTO, still mentioned in some important texts and studied in several international laboratories. From 2002 he began to carry out research on nanowire gas sensors, again using semiconductor metal oxides, publishing the first paper on this important topic, opening a path followed by many colleagues for the development of high-performance gas sensors.
Lately he has continued the study of nanowire sensors of metal oxides optimizing the preparation parameters and developing new unconventional preparation techniques.
In order to obtain greater selectivity and industrial applicability of the nano-sensors, he has developed an Electronic Nose prototype for applications in the field of food matrix quality, safety and environmental pollution determination. In 2018 he was awarded the title of Professor Emeritus by the Minister of Education, University and Research.
In 2016 he was one of the co-founders of the innovative start-up NANO SENSOR SYSTEMS SRL and took over the Presidency and Legal Representative.
He has published over 500 articles in international peer-reviewed journals. He obtained (source - Google Scholar) 20,000 citations and has an h-index of 73.
Proposed presentation title: Evolution of semiconductor metal oxide sensors in Electronic Noses
Markus Ulm, Chief Technical Officer, Bosch Sensortec GmbH |
Short Bio
Markus Ulm is Chief Technical Officer of Bosch Sensortec. He is responsible for research and development of sensors based on microelectromechanical systems (MEMS) for consumer electronics and related industries. Markus has a Master degree in Physics from the University of Oregon and a Diploma Degree in Physics from the Karlsruhe Institute of Technology. He continued his studies in the field of MEMS and graduated from the University of Stuttgart with a Dr. Ing. degree in Semiconductor Technology in 2003. During his career he held various positions in the field of MEMS, semiconductors and sensor research and development in the Bosch Group, such as Section Manager in the Bosch Research and Technology Center North America, Section Manager for Automotive Gyroscopes and IMUs, Director of Sensor Predevelopment as well as VP for Consumer Sensor Product Development.
Bosch Sensortec GmbH, a fully owned subsidiary of Robert Bosch GmbH, develops and markets a wide portfolio of microelectromechanical systems (MEMS) sensors and solutions tailored for smartphones, tablets, wearables and hearables, AR/VR devices, drones, robots, smart home and IoT (Internet of Things) applications. The product portfolio includes 3-axis accelerometers, gyroscopes and magnetometers, integrated 6-and 9-axis sensors, smart sensors, barometric pressure sensors, humidity sensors, gas sensors, optical microsystems and comprehensive software. Since its foundation in 2005, Bosch Sensortec has emerged as the MEMS technology leader in the markets it addresses. Bosch has been both a pioneer and a global market leader in the MEMS sensor segment since 1995 andhas, to date, sold more than 15billion MEMS sensors. For more information, please visit www.bosch-sensortec.com, twitter.com/boschMEMS, community.bosch-sensortec.com, linkedin.com/company/bosch-sensortec/, youtube.com/user/BoschSensortec
Proposed presentation title: Technology at the edge in everyday sensors
ECSA-8 Live Sessions Information
ECSA-8 Live Sessions Programs
Nov 03, 2021
Session 1
Date: 03 November 2021
Time: 09:00am (CET) | 03:00am (EDT) | 04:00pm (CST Asia)
Speaker |
Presentation Topic |
Time (CET) |
Conference Chair Stefan Bosse, Department of Computer Science, University of Bremen, Germany |
Initial Greeting |
9:00am – 9:10am |
Selected Presentations |
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Aleksandra Kalinowska |
The use of ultrasounds in the preparation of chemosensory microstructures |
9:10am – 9:25am |
Md. Humayun Kabir |
Performance Analysis of Mesh-Based Enterprise Network using RIP, EIGRP and OSPF Routing Protocols |
9:25am – 9:40am |
Jean Pierre Ndabakuranye |
A system-on-chip assay for bilirubin levels measurement in whole blood |
9:40am – 9:55am |
Alexander Kalashnikov |
Ultrasonic oscillating temperature sensor for operation in air |
9:55am – 10:10am |
Paula Garcia |
The Design of an Environmental Noise Labeling App for Citizen Participation in Smart Cities |
10:10 – 10:25am |
Fattah Hanafi Sheikhha |
Surface Reconstruction for Ground Map Generation in Autonomous Excavation |
10:25am – 10:40am |
Q&A Session |
10:40am – 11:00am |
Nov 08, 2021
Session 2
Date: 08 November 2021
Time: 09:00am (CET) | 03:00am (EDT) | 04:00pm (CST Asia)
Registration Link: https://us06web.zoom.us/webinar/register/7216352319265/WN_rLEKxxTpSNGE1eGX0znNDA
Speaker |
Presentation Topic |
Time (CET) |
Conference Chair Francisco Falcone Department of Electrical, Electronic and Communication Engineering & Institute for Smart Cities (ISC), Public University of Navarre, Spain Alberto Vallan Department of Electronics and Telecommunications, Politecnico di Torino, Italy
|
Initial Greeting |
9:00am – 9:10am |
Invited Presentation |
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Markus Ulm, Chief Technical Officer, Bosch Sensortec GmbH |
Technology at the edge in everyday sensors |
9:10am – 9:40am |
Selected Presentations |
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Sebastian Schober |
Temperature Stability Investigations of Neural Network Models for Graphene-Based Gas Sensor Devices |
9:40am – 9:55am |
Charles Han |
GEANT4 Modeling of Ambient Temperature Perovskite Gamma-Ray Sensor |
9:55am – 10:10am |
Jiri Pribil |
Two Realizations of the Wearable PPG Sensor Working in Reflectance Mode for Continual Measurement in Weak Magnetic Field |
10:10am – 10:25am |
Javier Martínez |
Factory Oriented Technique for Thermal Drifts Compensation in MEMS Capacitive Accelerometers |
10:25am – 10:40am |
Ali Afzalaghaeinaeini
|
Design of a LIOR-based de-dust filter for LiDAR sensors in off-road vehicles |
10:40am – 10:55am |
Q&A Session |
10:55am – 11:10am |
Nov 09, 2021
Session 3 (Student Session)
Date: 09 November 2021
Time: 09:00am (CET) | 03:00am (EDT) | 04:00pm (CST Asia)
Registration Link: https://us02web.zoom.us/webinar/register/8416352320489/WN_8bQOkWJsTtq1Z40XuvDIEA
Speaker |
Presentation Topic |
Time (CET) |
|
Conference Chair Stefano Mariani, Politecnico di Milano |
Initial Greeting |
09:00am – 09:10am |
|
Invited Presentation |
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Giorgio Sberveglieri, University of Brescia, Brescia, Italy |
Evolution of semiconductor metal oxide sensors in Electronic Noses |
|
9:10am – 9:40am |
Q&A Session and Short Break
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9:40am – 9:50am |
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Presentations from Student Session |
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Nikhil Pillai |
Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train-Track Interactions |
9:50am – 10:05am |
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Xinyi Wang |
Conceptional designs of the rotation mechanism with antiphase energy harvester |
10:05am – 10:20am |
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Elisabetta Bodo |
10:20am – 10:35am |
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VISHAL ALLADA |
Computer vision technique for blind identification of modal frequency of structures from video measurements |
10:35am – 10:50am |
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Andrea Altomonte |
A new three-phase Smart Meter for Cloud connection: network architecture and performances |
10:50am – 11:05am |
|
Elia Scattolo |
Optimization of Focused Ion Beam patterning parameters for direct integration of plasmonic nanostructures on Silicon photodiode |
11:05am – 11:20am |
|
Obiora Odugu |
Investigation of thermal comfort and air quality in typical student residences |
11:20am – 11:35am |
|
Aditya Parpe |
Surface-mounted smart PZT sensors for monitoring damage using EMI-based multi-sensing technique |
11:35am – 11:50am |
|
Niharika Gogoi |
11:50am - 12:05am |
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Gianluca Mezzanzanica |
12:05am - 12:20am |
List of accepted submissions (91)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-048720 | Comparison of hybrid localization methods using images and Wi-Fi signals | , | N/A | N/A |
Show Abstract |
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Indoor localization is important for many applications such as navigation, movement tracking, geotagging, and augmented reality. Most studies have used either Wi-Fi or image signals to determine the user’s location. However, each localization method has advantages and disadvantages. In this study, we propose a hybrid localization system combining the advantages of Wi-Fi and image-based methods. The localization is calculated based on the best four outputs of either image or Wi-Fi localization system. The system was evaluated by comparing the accuracy and unit errors of image-based, Wi-Fi-based, hybrid (image + Wi-Fi), hybrid (Wi-Fi + image) methods. The results showed accuracies of 77.2%, 49.5%, 73.1%, and 81.6% in the image-based, Wi-Fi-based, hybrid (image + Wi-Fi), and hybrid (Wi-Fi + image) methods, respectively. The hybrid (Wi-Fi and image) method has the lowest error and highest accuracy of the four methods compared. In addition, the image-based localization system shows the highest error, while the Wi-Fi-based localization system shows the lowest accuracy. The robot tests prove that the proposed hybrid system can achieve excellent performance in indoor localization. The proposed hybrid system uses both image processing and Wi-Fi fingerprinting methods to determine the mobile device's location by creating the two-phase framework, which can help improve the accuracy of indoor localization. |
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sciforum-048845 | Humidity dependence of commercial thick and thin-film MOX gas sensors under Ultra-Violet illumination | , | N/A | N/A |
Show Abstract |
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Enhancing the performance of a chemo-resistive gas sensor is often challenging due to environmental humidity influencing their sensitivity and baseline resistance. One of the most promising ways of overcoming this challenge is through Ultraviolet (UV) illumination onto the sensing material. Most research has focussed on using UV with in-house developed sensors, which has limited their widespread use. In this work, we have evaluated if UV can enhance the performance of commercially available MOX-based gas sensors. The performance of five different MOX sensors has been evaluated, specifically SGX Microtech MiCS6814 (thin-film triple sensor), FIGARO TGS2602 (n-type thick film), and Alphasense VOC sensor (p-type thick film). These sensors were tested towards isobutylene gas under UV light at different wavelengths (UV-278nm & UV-365nm) to investigate its effect on humidity, sensitivity, baseline drift and response, and recovery time of each sensor. Also, to understand the effect of UV on both thin and thick film sensors. The sensors were also tested at three different temperatures and with continuous and different blink speeds (at 2 sec, 500 sec). We found the response time of thin-film sensors for reducing gases was improved from 80 sec under dark conditions to less than 30 sec under UV- 365nm at normal operating temperatures. In addition, all the sensors were left in a dirty environment and the humid-gas testing was repeated. However, due to their robust design, the sensitivity and baseline drift of all the sensors remained the same. This indicates UV has only limited use with commercial gas sensors. |
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sciforum-048859 | Non-invasive milk quality estimator based on capacitive changes in milk with customized Electrode Receptacle | , , , , | N/A | N/A |
Show Abstract |
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Milk is considered to be a complete food that provides all necessary nutrients to the human body. It is thus very important to ensure good quality milk is consumed. However, the quality of commercially available milk is inconsistent across various sources. A study conducted by the Food Safety and Standards Authority of India (FSSAI) in 2018 found that 68.7 % of milk and milk by-products produced in the country were found to be laced with polluting ingredients. Tasting the milk to ascertain its quality is not always feasible. Developing a device or a non-invasive method to quantitatively ascertain the quality of milk is the need of the hour. We have attempted to develop a system and an inexpensive device capable of detecting the quality of milk without opening the packaging. The experimental setup consists of a circuit and an electrode receptacle which is customized according to the targeted milk packaging. There has been a lot of research in this domain but correlating the capacitance directly to the quality of milk has not been attempted before. In this method, the dielectric constant of the milk is determined from the capacitance read from the experimental setup which is then correlated to the pH of the milk. pH is universally considered to be an indicator of milk quality with the pH of fresh milk being around 6.5-6.7. A regression based model is developed using the data capturing the change in capacitance and pH values over time to estimate the quality of milk. The deployment of this system in the Indian market will help in dynamic pricing based on a quantitative freshness measure and assure the customer of milk quality. The results of the research and a prototype of the device are presented in the paper. |
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sciforum-048871 | Finding earthquake Victims by Voice Detection Techniques | , , | N/A |
Show Abstract |
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After an Earthquake or a building collapse, victim recovery is a challenging task. In such cases, recovery methods must prioritize fast detection and procurement of the location of victims. Human speech is one such parameter that can be used in rescue operations. This research work discusses the application of Voice Activity Detection (VAD) techniques for detecting and discriminating human speech from noise. In this paper, VAD is performed on three important spectral parameters of signals namely: flux, roll-off, and centroid. Using all the three parameters and their combinations, the VAD algorithm is tested for their success rate on a set of audio samples, containing studio-recorded speech, outdoor speech recording with background noise, and pure noise signals from different sources. The change of the signal parameters over time was plotted in separate graphs. For further processing, the information from the change of speech properties over time had to be reduced to a small set of parameters. Our new approach compresses the audio signal to the average values of positive and negative peaks. The research progresses from a method of manual threshold selection technique to machine learning-based linear discriminant method and a comparative study was made to find the best performing method for detection of speech. Using the cross-validation tests based on the linear discriminant analysis model, flux and centroid individually displayed the highest success rate for all categories of test samples with a recognition rate of 78 % to 83 %. However, stability was further improved by combing these two parameters increasing the rate to 88%. |
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sciforum-048891 | DEEPHER: EEG-based human emotion recognition using DEEP learning Network | , | N/A | N/A |
Show Abstract |
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Emotion identification and categorization have been emerging in the Brain Machine Interface in current era. Audio, visual, and electroencephalography (EEG) data have all been shown to be useful for automated emotion identification in a number of studies. EEG-based emotion detection is a critical component of psychiatric health assessment for individuals. If EEG sensor data are collected from multiple experimental sessions or participants, the underlying signals are invariably non-stationary. Because EEG signals are noisy, non-linear, and non-stationary, developing an intelligent framework that can give high accuracy for emotion identification is a difficult challenge. Many research has shown evidence that EEG brain waves may be used to determine feelings. This study introduces a novel automated emotion identification system that employs deep learning principles to recognize emotions through EEG signals from computer games. EEG data was obtained from 28 distinct participants using a 14-channel Emotive Epoc+ portable and wearable EEG equipment. Participants played four distinct emotional computer games for five minutes each, with a total of 20 minutes of EEG data available for each participant. The suggested framework is simple enough to categorize four classes of emotions during game play. The results demonstrate that the suggested model-based emotion detection framework is a viable method for recognizing emotions from EEG data. The network achieves 99.99 along with less computational time. |
Poster Panel
Conference Secretariat
Mr. Jason Liu
Ms. Nora Zhang
MDPI Branch Office, Beijing
E-Mail: ecsa@mdpi.com
Sponsoring Opportunities
For information regarding sponsoring opportunities, please contact the conference secretariat.
Conference Chairs
Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Department of Electronics and Telecommunications Politecnico di Torino, Turin, Italy
Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany
Department of Electrical and Electronic Engineering, Public University of Navarre, Spain
Conference Committee
University of Nebraska-Lincoln, Lincoln, NE, USA
Carinthia Institute for Smart Materials (CiSMAT), Villach, Austria
School of Engineering, Università Campus Bio-Medico di Roma, Italy
Department of Electrical, Computer and Biomedical Engineering, University of Pavia
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
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
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.
Inorganic Chemistry Department, Universitat de València, Doctor Moliner, Spain
Interests: sensors; optical chemosensors; dyes; nanomaterials; optoelectronic noses and tongues
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.
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.
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
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.
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.
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.
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.
College of Communication and Information, University of Kentucky, Lexington, KY 40506-0224, USA
cybersecurity; privacy; Internet of Things; VANET
Global Big Data Technologies Centre (GBDTC), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo 2007, Australia
antennas; wireless communications and sensing; AI
1. Samara National Research University, 34 Moskovkoye Shosse, Samara 443086, Russia
2. Image Processing Systems Institute RAS - Branch of the FSRC "Crystallography and Photonics" RAS, 151 Molodogvardeiskaya, Samara 443001, Russia
computer optics; diffractive nanophotonics; computer vision; plasmonic sensors; optical sensors
Department of Electro-Optical and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel
image enhancement; image restoration; integral imaging; object detection and tracking; surveillance; imaging through the atmosphere; image degradations
Biomedical Computer Science, University of Applied Sciences and Arts, 44139 Dortmund, Germany
sensor data analysis; machine learning; deep learning; healthcare sensors; information fusion; computer vision; sensors for optical tracking of objects
NOVA School of Science & Technology. CTS-UNINOVA, 2829-517 Caparica, Portugal
intelligent manufacturing agent based manufacturing; cyber-physical systems evolvable production system
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.
Institute of Applied Sciences and Intelligent Systems “ScienceApp", Consiglio Nazionale delle Ricerche, c/o Dhitech Campus Universitario Ecotekne, Italy
computer vision; pattern recognition; video surveillance; object tracking; deep learning; audience measurements; visual interaction; human–robot interaction
Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark
cyber security; intrusion detection; mobile security and authentication; HCI security; malware analysis
Sessions
B. Physical Sensors
C. Sensor Networks
D. Applications
P. Posters
S1. Structural Health Monitoring Technologies and Sensor Networks
S2. Wearable Sensors
S3. Smart Cities
S4. Optical Sensors
S5. Sensing and Imaging
S6. Positioning and Navigation
S7. Sensing for Robotics and Automation
S8. Ultrasonic Monitoring of Fibre Metal Laminates
S9. Student Session
Instructions for Authors
Submissions should be made by authors online by registering with www.sciforum.net, and using the "New Submission" function once logged into the system.
Note: Institutional email address is requested especially for the corresponding author. Please submit the abstract with the institutional email address, the submissions with the email addresses like gmail.com, 163.com, hotmail.com, qq.com etc. will not be reviewed.
- Scholars interested in participating in the conference can submit their abstract (about 200–300 words) online on this website until 03 September 2021.
- The Conference Committee will notify the acceptance of the abstract by 06 September 2021.
- In case of acceptance, authors will be asked to submit their manuscript (short proceedings paper, 3-6 pages) before 28 September 2021. Optionally, authors of accepted abstracts will be able to submit a poster, a slides presentation (in PDF) and/or a short video presentation (max. 3-5minutes) as supporting material of the paper. Authors will receive a notification about the acceptance of their papers by 15 October 2021.
- The manuscripts and presentations will be available on sciforum.net for discussion and rating during the time of the conference, from 1–15 November 2021.
- The accepted proceedings papers will probably be published as one dedicated volume in MDPI Engineering Proceedings journal (ISSN 2673-4591). Publication of proceedings paper is free of charge.
Note: Before publication, Engineering Proceedings journal will review accepted papers using the powerful text comparison tool: iThenticate. This procedure aims to prevent scholarly and professional plagiarism.
Articles with a high repetition rate and lack of novelty will not be published in the conference proceedings. - The open access journal Sensors (Impact Factor 3.576) will publish a dedicated conference Special Issue. Conference participants are encouraged to submit a full paper to the dedicated Special Issue and will receive a 20% discount on the Article Processing Charges (APC).
Note: The submission to the Sensors journal is independent of the conference proceedings and will follow the usual process of the journal, including peer-review, APC, etc.
Proceedings papers must be prepared in MS Word using the Engineering Proceedings template (see below) and should be converted to PDF format before submission. The manuscript should count at least 3 pages (incl. figures, tables and references) and should not exceed 6 pages. Carefully read the rules outlined in the 'Instructions for Authors' on the journal website and ensure that your manuscript submission adheres to these guidelines.
Manuscripts for the proceedings issue must have the following organization:
- Title
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Abstract
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the manuscript. Slides can be prepared the same way as for any traditional conference. They should be converted to PDF format before submission.
Authors are requested to submit video presentations accompany with extended submissions. Video should be no longer than 3-5 minutes and prepared with one of the following formats: .mp4 / .webm / .ogg (max size: 250Mb). It should be submitted with the full manuscript before 28 September 2021(full submission deadline).
The accepted submissions will be shown on the conference submission page of ECSA-8 which will be open after the conference starts. Here is an example of ECSA-7: https://ecsa-7.sciforum.net/#submissions.
Besides, authors that submitted presentations will have the chance to be invited to hold a presentation in the Live Session (15 mins). The live streaming platform we are using is Zoom, click here to check the recordings of the live sessions of ECSA-7. This is a unique way of presenting your paper and discussing it with peers from all over the world.
Note: Exhibitors who attend/register for the Webinar are considered to agree that their images and presentation content will be publicly released.
Posters will be available on this conference website during and after the event. Like papers presented on the conference, participants will be able to ask questions and make comments about the posters. Posters can be presented without an accompanying proceedings paper. However, they will not be added to the proceedings of the conference.
After acceptance, please upload a copy of the proceedings/abstract as a PDF and word, in the corresponding fields, and upload the Poster PDF in the field "Presentation PDF (optional)".
1)The poster should be in PDF format
2)The minimum size for images is 148 mm × 210 mm (horizontal × vertical) at 300 dpi.
3)The content of the poster should be a comprehensive presentation of your accepted submission.
4) No copyright issues with any elements in the poster.
For detailed instructions on how to submit a poster, please contact us at ecsa@mdpi.com.
All authors must disclose all relationships or interests that could inappropriately influence or bias their work. This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. If there is no conflict, please state "The authors declare no conflict of interest." 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).
A. Chemo- and Biosensors
Session Chair
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
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
The Poster Panel will open during the conference (1 - 15 November 2021). You will be invited to check all the published poster at the Poster Panel section at any time during the conference. You can access each poster by clicking on its title, to check or download its presentations, save your favourites in your Sciforum profile by using the ‘Bookmark’ option, and most of all, share your thoughts and comments with your peers in the Comments Section at the end of the page.
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 but are not limited to: design and exploitation of wireless sensor networks; multifunctional materials; energy harvesting; integrated sensors; MEMS sensors; self-sensing concrete; 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. Yashar Eftekhar Azam, Civil and Environmental Engineering , University of New Hampshire, Durham, NH, USA
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Professor Pascal Nicolay, Carinthia Institute for Smart Materials (CiSMAT), Villach, Austria
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.
Topics include but are not limited to: 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. Carlo Massaroni, School of Engineering, Università Campus Bio-Medico di Roma, Italy
Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy
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 include but are not limited to: smart buildings; districts and urban spaces; smart grids; environmental monitoring; transportation; infrastructure and mobility; IoT; and sensors and applications that empower citizens and improve quality of life.
Session Chair
Dr. Stefan Bosse, Department of Electrical, Electronic and Communication Engineering, University of Bremen, and Faculty Computer Science, University of Koblenz-Landau, Germany
Show all published submissions (4) Hide published submissions (4)
Submissions
List of Papers (4) Toggle list
S4. Optical Sensors
In the past few 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.
Topics include but are not limited to: 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. Sensing and Imaging
There are increasing demands around the effectiveness of visual signal processing. Sensing and Imaging will consider papers dealing with image/vision/camera sensors, sensing systems, and image acquisition and processing, including applications in agriculture, cultural heritage, industry, smart life, and virtual reality. Sensing devices include but are not limited to cameras, imaging probes, radar, sonar, UAVs, and so on. Sensing and imaging methods include but are not limited to optical, acoustic, wave, thermal, and magnetic imaging.
Topics include but are not limited to: Imaging systems; sensors; camera; radar and sonar; probes; diagnostics; (bio)medical imaging; subsurface and surface sensing; environmental sensing and imaging; nondestructive sensing and imaging; Aerial/UAV imaging; gesture/pattern/target recognition; computer vision; material appearance metrology; acoustic/ultrasound/photoacoustic imaging; optical/infrared/spectral/hyperspectral/fluorescence imaging; 3D imaging.
Session Chair
Prof. Dr. Cosimo Distante, Institute of Applied Sciences and Intelligent Systems “ScienceApp", Consiglio Nazionale delle Ricerche, c/o Dhitech Campus Universitario Ecotekne, via Monteroni sn, 73100 Lecce, Italy
S6. Positioning and Navigation
The Navigation and Positioning session collects the submission about technologies and applications of navigation and positioning.
Topics include but are not limited to: global navigation satellite (GNSS); satellite-based augmentation system (SBAS); indoor localization systems (ILS); geographic information system (GIS); industrial metrology and geodetic systems; location-based services (LBS) and applications; simultaneous localization and mapping (SLAM); ultrasound positioning; ultra wide band (UWB) positioning; precise positioning; inertial navigation; optical positioning systems.
Session Chair
Dr. Francisco Falcone, Department of Electrical and Electronic Engineering, Public University of Navarre, Pamplona, Spain
S7. Sensing for Robotics and Automation
Robots have a large number of sensors to achieve good operation and control in automation processes. In recent years, the application of robotics and automation has become commonplace as they allow increased efficiency and better precision. Therefore, the development of new sensors and measurement systems for robotics and automation requires new solutions that enable accurate, safe, and cost-effective operation.
Topics include but are not limited to: novel techniques in sensing for robotics and automation; sensors; UAV; sensor applications in swarm robotics; sensing and machine vision system for monitoring; sensor fusion techniques; interpretation of sensor data; measurement system; inertial navigation systems; robot control; intelligent robotic applications for production systems; robotics applied to precision agriculture; process automation with intelligent robotics; mobile robot navigation, localization, and mapping; robot manipulation and picking; human–robot collaboration; tracking control; automatic control; controller design.
Session Chair
Dr. Francisco Falcone, Department of Electrical, Electronic and Communication Engineering, Public University of Navarre, Pamplona, Spain
S8. Ultrasonic Monitoring of Fibre Metal Laminates
New laminate materials like Fibre Metal Laminates (FMLs) and integrated Structural Health Monitoring (SHM) using guided ultrasonic waves require interdisciplinary research and collaboration of material scientists, computer scientists, and mathematicians, which is the aim of the German Research Unit FOR3022 funded by the national DFG. This requires an integral view of the physical phenomena of wave propagation even under complex environmental conditions, their interaction with hidden damage, recording of these interactions using micro-technical sensors at the location of the event, and signal processing for full damage diagnostics utilising artificial intelligence methods. The findings will be useful for the consideration and comprehensive understanding of wave propagation in all layered material systems made from components of large impedance differences. This special session is intended to collect results from this interdisciplinary research and to show an overview of the state of the art in this field.
Session Chair
Dr. Stefan Bosse, Department of Computer Science, University of Bremen, Germany
S9. 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.