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10th International Electronic Conference on Sensors and Applications
Part of the International Electronic Conference on Sensors and Applications series
15–30 Nov 2023
Biosensors, Physical Sensors, Applications, Sensor Network and IoT, Chemosensors, Sensor Data Analytics
- Go to the Sessions
-
- A. Chemo- and Biosensors
- B. Physical Sensors
- C. Sensor Networks, IoT and Structural Health Monitoring
- D. Sensor Data Analytics
- E. Sensors and Artificial Intelligence
- F. Student Session
- G. Poster session
- S1. Smart Agriculture Sensors
- S2. Materials for Sensing Applications
- S3. Electronic Sensors, Devices and Systems
- S4. Wearable Sensors and Healthcare Applications
- S5. Robotics, Sensors and Industry 4.0
- Event Details
Announcement
ECSA-10 is closed.
Thank you for your participation! You may still access the materials of each submission, including the peer-reviewed paper, poster, or presentation, and the recorded Live Sessions. #openaccess
Please note that the recordings are only available to Sciforum users. Register for free today!
The ECSA-10 award winners have been announced at https://ecsa-10.sciforum.net/#awards
Welcome from the Chairs
Welcome from the Conference Chairs of the 10th International Electronic Conference on Sensors and Applications
We are pleased to announce the 10th International Electronic Conference on Sensors and Applications. After the success of the nine editions from 2014 to 2022, this year edition will focus on the following thematic areas where sensors are changing science:
- Chemo- and Biosensors (Session A)
- Physical Sensors (Session B)
- Sensor Networks, IoT and Structural Health Monitoring (Session C)
- Sensor Data Analytics (Session D)
- Sensors and Artificial Intelligence (Session E)
- Student Session (Session F)
- Poster Session (Session G)
There will be five specific sessions:
- S1. Smart Agriculture Sensors
- S2. Materials for Sensing Applications
- S3. Electronic Sensors, Devices and Systems
- S4. Wearable Sensors and Healthcare Applications
- S5. Robotics, Sensors and Industry 4.0
Posters can be presented without an accompanying proceedings paper and will be available online on this website during and after the e-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 Event Awards.
This event will solely be an online proceeding that allows participation from all over the world with no concerns about 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. Participation, as well as the "attendance" of this online conference, is free of charge.
The 10th International Electronic Conference on Sensors and Applications is sponsored by MDPI and the scientific journal Sensors (ISSN 1424-8220, IF 3.9). The conference proceedings papers and presentations will be available online for discussion during 15-30 November 2023 and will be published in the journal Engineering Proceedings.
Extended and expanded versions of conference proceedings papers can be submitted to a Special Issue in the 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 10th edition a success—for many to come in the future.
The Chairs of the 10th 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. Francisco Falcone School of Engineering and Sciences, Tecnologico de Monterrey, Mexico |
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. |
Dr. Stefan Bosse |
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. Jean-marc Laheurte |
Dr. Jean-Marc Laheurte received the M.Sc. and Ph.D. degrees in electrical engineering and the Habilitation to Supervise Research from the University of Nice, France, in 1989, 1992 and 1997, respectively. From 1989 to 1990, he was a research assistant at the École Polytechnique Fédérale de Lausanne, Switzerland. In 1992, he was a postdoctoral researcher at the University of Michigan, Ann Arbor, MI, USA. From 1993 to 2002, he was an Associate Professor at the University of Nice Sophia Antipolis, France. Since 2002, he has been a Professor at the University Gustave Eiffel, France. In 2012, he spent a year as a senior RF engineer at Tagsys, La Ciotat, France. For the past 8 years, he has been the director of the 75-member Electronics, SYstèmes de COmmunications and Microsystems Laboratory (ESYCOM Laboratory). He is the author or co-author of two books, two book chapters, more than 80 technical papers in international journals and 90 conference papers. He holds two patents on RFID technologies. His current research interests include antennas in matter, RFID technologies, RFID localization, body array antennas (BANs) and channel modeling. |
ECSA-10 Program
CET |
EST |
CST Asia |
Speaker | Title |
15:00 - 15:10 |
09:00 - 09:10 |
22:00 - 22:10 |
Conference Chair - Dr. Francisco Falcone | Welcome Address |
15:10 - 15:50 |
09:10 - 09:50 |
22:10 - 22:50 |
Keynote Speaker - Prof. Dr. Sabina Merlo |
Watching M(O)EMS dancing with interferometric eyes: |
15:50 - 16:05 |
09:50 - 10:05 |
22:50 - 23:05 |
Dr. Patricia Iweka | [Smart Agriculture Sensors] Cow Milk Quality Determination Using Near-infrared Spectroscopic Sensing System for Smart Dairy Farming |
16:05 - 16:20 |
10:05 - 10:20 |
23:05 - 23:20 |
Dr. Mu'ath Al-Tarawneh | [Sensor Networks, IoT and Structural Health Monitoring] Traffic stream characteristics estimation using in pavement sensor network |
16:20 - 16:35 |
10:20 - 10:35 |
23:20 - 23:35 |
Dr. Alexander Kalashnikov | [Sensor Networks, IoT and Structural Health Monitoring] Prototyping bespoke sensor Industrial internet-of-Things (IIoT) systems for small and medium enterprises (SMEs) |
16:35 - 16:50 |
10:35 - 10:50 |
23:35 - 23:50 |
Mr. Yassine Yazid | [Robotics, Sensors and Industry 4.1] Deep Learning Empowered Robot Vision for Efficient Robotic Grasp Detection and Defect Elimination in Industry 4.0. |
16:50 - 17:05 |
10:50 - 11:05 |
23:50 - 00:05 |
Ms. Letizia Stella Di Mauro | [Electronic Sensors, Devices and Systems] The IPANEMA Project: underwater acoustic structure for volcanic activity and natural CO2 emissions monitoring |
Live Session 2
CET |
EST |
CST Asia |
Speaker | Title |
15:00 - 15:10 |
09:00 - 09:10 |
22:00 - 22:10 |
Conference Chair - Dr. Francisco Falcone | Welcome Address |
15:10 - 15:40 |
09:10 - 09:40 |
22:10 - 22:40 |
Keynote Speaker - Prof. Dr. Leyre Azpilicueta |
6G IoT Channel Modelling for Context Aware Environments |
15:40 - 15:55 |
09:40 - 09:55 |
22:40 - 22:55 |
Dr. Somchat Sonasang | [Smart Agriculture Sensors] Measurement of Soil Moisture Using Microwave Sensors Based on BSF coupled lines |
15:55 - 16:10 |
09:55 - 10:10 |
22:55 - 23:10 |
Mr. Xiaoyu Huang | [Robotics, Sensors and Industry 4.1] High precision robotic system design for microsurgical applications. |
16:10 - 16:25 | 10:10 - 10:25 | 23:10 - 23:25 | Mr. Rubén Nicolás Ibáñez | [Robotics, Sensors and Industry 4.1] Indirect assessment of implementation of Industry 4.0 technologies in regional companies. |
16:25 - 16:40 | 10:25 - 10:40 | 23:25 - 23:40 | Mr. Giovanni Sousa | [Robotics, Sensors and Industry 4.1] Tool Wear Estimation in the Milling Process Using a Simple Machine Learning Backpropagation Algorithm |
16:40 - 16:55 |
10:40 - 10:55 |
23:40 - 23:55 |
Ms. Ivana Jokic | [Chemo- and Biosensors] Biosensor time response and noise models that take into account spatial rearrangement of adsorbed biomolecules |
16:55 - 17:10 |
10:55 - 11:10 |
23:55 - 00:10 |
Dr. Paramasivam Alagumariappan | [Wearable Sensors and Healthcare Applications] Devising IoT Based Healthcare Medical Container for Transportation of Organs and Healthcare Products using Unmanned Aerial Vehicle |
17:10 - 17:25 |
11:10 - 11:25 |
00:10 - 00:25 |
Mr. Oliver Chojnowski | [Sensors and Artificial Intelligence] Forecasting Vital Signs in Human-Robot Collaboration using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analysis of Uni- and Multivariate Approaches |
17:25 - 17:40 |
11:25 - 11:40 |
00:25 - 00:40 |
Prof. Liudmila Gerasimova-Meigal |
[Wearable Sensors and Healthcare Applications] Stress and fatigue evaluated with help of textile sensors embedded in smart clothes and artificial intelligence methods in human daily life activity |
Live Session 3 - Student Session
CET |
EST |
CST Asia |
Speaker | Title |
15:00 - 15:10 |
09:00 - 09:10 |
22:00 - 22:10 |
Conference Chair - Dr. Jean-Marc Laheurte | Welcome Address |
15:10 - 15:25 |
09:10 - 09:25 |
22:10 - 22:25 |
Mr. Jumar Cadondon |
Characterization of porcine skin using a portable time-domain optical coherence tomography system |
15:25 - 15:40 |
09:25 - 09:40 |
22:25 - 22:40 |
Mr. Ashish Mani |
Evaluating Urban Topography and Land Use Changes for the Urban River Management using Geospatial Techniques |
15:40 - 15:55 |
09:40 - 09:55 |
22:40 - 22:55 |
Ms. Elisabetta Bodo |
Artificial nutrition monitoring through an optofluidic platform |
15:55 - 16:10 |
09:55 - 10:10 |
22:55 - 23:10 |
Ms. Samira Azizi |
Vision-based structural identification using an enhanced phase-based method |
16:10 - 16:25 |
10:10 - 10:25 |
23:10 - 23:25 |
Mr. Ángel Niebla-Montero |
IOTA and Smart Contract based IoT Oxygen Monitoring System for the Traceability and Audit of Confined Spaces in the Shipbuilding Industry |
16:25 - 16:40 |
10:25 - 10:40 |
23:25- 23:40 |
Mr. Antonio Tupek |
Early Results on GNSS Receiver Antenna Calibration System Development |
16:40 - 16:55 |
10:40 - 10:55 |
23:40 - 23:55 |
Mr. Haitao Tian |
Semi-Supervised Adaptation for Skeletal Data Based Human Action Recognition |
16:55 - 17:10 |
10:55 - 11:10 |
23:55 - 00:10 |
Mr. Tobias Augustin |
Enhanced Pedestrian Dead Reckoning Sensor Fusion for Firefighting |
17:10 - 17:25 |
11:10 - 11:25 |
00:10 - 00:25 |
Mr. Sachin Himalyan |
Golomb Rice Coder-Based Hybrid ECG Compression System |
17:25 - 17:40 |
11:25 - 11:40 |
00:25 - 00:40 |
Mr. Daniel Calegaro |
Optimization of the geometry of a MEMS testing device for SiO2 – polysilicon interface characterization |
17:40 - 17:55 |
11:40 - 11:55 |
00:40 - 00:55 |
Mr. Nicky Andre Prabatama |
Development of a Zigbee-based wireless sensor network of MEMS accelerometers for pavement monitoring |
CET |
EST |
CST Asia |
Speaker | Title |
15:00 - 15:10 |
09:00 - 09:10 |
22:00 - 22:10 |
Conference Chair - Dr. Stefan Bosse | Welcome Address |
15:10 - 15:40 |
09:10 - 09:40 |
22:10 - 22:40 |
Keynote Speaker - Dr. Dirk Lehmhus |
Integration of Sensors in Cast Metal Components: |
15:40 - 15:55 |
09:40 - 09:55 |
22:40 - 22:55 |
Mr. Kim-Ming Tsoi | [Sensor Networks, IoT and Structural Health Monitoring] Development of an Embedded Device for Quantifying and Recording Daily Standing Profiles in Individuals with Lower Limb Motor Impairment Using an Assistive Standing Mobile Device |
15:55 - 16:10 |
09:55 - 10:10 |
22:55 - 23:10 |
Dr. Resmond Reaño | [Chemo- and Biosensors] Bioengineered monoclonal antibody-chitosan-iron oxide bio-composite for electrochemical sensing of Mycobacterium tuberculosis lipoprotein (LpqH) |
16:10 - 16:25 |
10:10 - 10:25 |
23:10 - 23:25 |
Ms. Rui Zhong | [Sensor Networks, IoT and Structural Health Monitoring] Investigation of the Rectifiers Responses Affecting the Operational Bandwidth in the Electromagnetic Vibration Energy Harvester |
16:25 - 16:40 | 10:25 - 10:40 | 23:25 - 23:40 | Ms. Bahar Faramarzi | [Physical Sensors] A comparison between different acquisition modes for FT-IR spectra collection from human cell lipid extracts. |
16:40 - 16:55 |
10:40 - 10:55 |
23:40 - 23:55 |
Mr. Ali Elyounsi | [Physical Sensors] Experimental measurement of office air temperature using oscillating ultrasonic sensors (UOTSes) |
16:55 - 17:10 |
10:55 - 11:10 |
23:55 - 00:10 |
Mr. Miloš Frantlović | [Physical Sensors] Development of a MEMS Multisensor Chip for Aerodynamic Pressure Measurements |
17:10 - 17:25 |
11:10 - 11:25 |
00:10 - 00:25 |
Dr. Sahar Mahdie Klim Al-Zaidawi | [Sensor Data Analytics] A Pore Classification System for the Detection of Additive Manufacturing Defects Combining Machine Learning and Numerical Image Analysis |
17:25 - 17:40 |
11:25 - 11:40 |
00:25 - 00:40 |
Mr. Daniel Bonet-Solà | [Sensor Data Analytics] Sons al Balcó: A subjective approach to the WASN-based LAeq measured values during the COVID-19 lockdown |
Please note that the program is still subject to change at any time.
Event Chairs
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Department of Civil and Environmental Engineering, Politecnico di Milano, 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
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Laboratory of Electronics, SYstèmes de COmmunications and Microsystems, Université Gustave Eiffel, France
Event Committee
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School of Civil & Environmental Engineering, the University of New South Wales, Sydney, Australia
Chris Rizos is an Emeritus Professor at the School of Civil and Environmental Engineering, UNSW, Sydney. Australia. He graduated with a Surveying degree in 1975, and with a PhD in 1980, in the field of Satellite Geodesy, both from UNSW. Chris is President of the International Union of Geodesy & Geophysics (IUGG) 2023-2027. Chris has been researching the technology and applications of Global Navigation Satellite Systems (GNSS) and other positioning technologies for over three decades, and is a named author of over 650 journal and conference papers. He is a Fellow of the US Institute of Navigation and a Fellow of the Australian Institute of Navigation, and has been a member of several international organisations dealing with GNSS topics, including the International GNSS Service (IGS) and the International Committee on GNSS (ICG).
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Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy
Nunzio Cennamo was born in Italy in 1975. He received the master degree in electronic engineering in 2002 and the PhD degree in electronic engineering in 2005, both from the Second University of Naples, Naples, Italy. He is an Associate Professor of Electronics at the University of Campania Luigi Vanvitelli (Naples), Italy. His research interests include the design and fabrication of optical fiber sensors, chemical sensors, biosensors and optoelectronic devices. He is the author of more than 160 international journal and conference papers and 10 patents. He is cofounder of the Spin Off "MORESENSE srl" in Milan (Fondazione Filarete, Milan -Italy). He is an Associate Editor of “Photonics Research” (OSA) and of “Applied Sciences“ (MDPI), MDPI Topic Associate Editor-in-Chief on Artificial Intelligence in Sensors (vol. 1 & 2), and member of the Editorial Board of "Sensors" (MDPI). He is an Organizer and General Chair of the “7th International Symposium on Sensor Science” (I3S 2019) 9-11 May 2019, Naples (Italy), and of several edition of the “International Electronic Conference on Applied Sciences” (ASEC 2021, ASEC 2022, ASEC 2023). He is a Publicity Chair of the “6th IEEE International Symposium M&N 2022” 18-20 July 2022 Padua (Italy). He is an Invited Speaker in several Webinars and several International Conferences. He is a Principal Investigator of several Italian projects.
design and fabrication of optical fiber sensors, chemical sensors, biosensors and optoelectronic devices
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School of Engineering and Built Environment, Griffith University, Nathan, Queensland, Australia
Faisal Mohd-Yasin received the B.Sc. degree in electrical engineering, the M.Sc. degree in telecommunications engineering, and the M.Sc. degree in computer engineering from The George Washington University, USA, in 1999, 2002,and 2005, respectively, the Ph.D. degrees in integrated circuit design from Ibaraki University, Japan, in 2009, and the Ph.D. degree in MEMS from Multimedia University, Malaysia, in 2014. He is currently a Senior Lecturer with the School of Engineering and Built Environment at Griffith University, Brisbane, Australia.
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Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy
Sabina Merlo was born in Pavia, Italy, in 1962 and received the degree in electronic engineering from the University of Pavia, Pavia, in 1987. She received 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 received the Ph.D. degree in electronic engineering from the University of Pavia in 1991. She became an Assistant Professor in 1993, Associate Professor in 2001 and Full Professor 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 and of the IEEE/ASME JOURNAL OF MICROELECTROMECHANICAL SYSTEMS. Dr. Merlo is a Member of AEIT, GMEE, and Senior Member of the IEEE I&M Society and Photonics Society. Sciprofile: https://sciprofiles.com/profile/197857
Interferometry; MEMS; Optical Sensors; Optical measurement; MOEMS
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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.
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Inorganic Chemistry Department, Universitat de València, Doctor Moliner, Spain
sensors; optical chemosensors; dyes; nanomaterials; optoelectronic noses and tongues
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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 an independent researcher at the Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences in Bratislava. At present, he is oriented to analysis of effect of the noise and mechanical vibrations in scanning area of the MRI scanner on the examined person, methods for detection and evaluation of stress effects on the human cardio-vascular system based on photo-plethysmographic and speech signals.
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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 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 80 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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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.
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Department of Electrical, Electronic and Communication Engineering, Public University of Navarre, Pamplona, Spain
Prof. Diaz is Lecturer at the Public University of Navarre and member of the ISC, Institute of Smart Cities
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Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark
Dr. Weizhi Meng is an Associate Professor in the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong (CityU), Hong Kong SAR, China. Prior to joining DTU, he worked as research scientist in Institute for Infocomm Research, A*STAR, Singapore. His primary research interests are cyber security, blockchain and artificial intelligence in security. He is currently directing the SPTAGE Lab at DTU.
cyber security; intrusion detection; mobile security and authentication; HCI security; malware analysis
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Department of Mechanical Engineering, Director of the Intelligent Materials Laboratory, School of Engineering, The Catholic University of America, USA
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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Department of Materials Science / CENIMAT/i3N, Faculty of Science and Technology, NOVA University of Lisbon, Lisbon, Portugal
Hugo Águas (male), is Associate Professor at the Materials Science Department of FCT-NOVA and photovoltaics research group leader at CEMOP-UNINOVA. He received his PhD in 2005 in Optoelectronics Engineering. His current research interests are in the fields of thin films deposition and silicon materials for photovoltaic devices and optical sensors; nanomaterials processing; biosensors; microfluidics and SERS. He has coordinated 6 national projects and was responsible in several national and international projects, including the H2020 Project APOLO (H2020-LCE-2017-RES-RIA) aimed at developing photonic-enhanced flexible Perovskite solar cells for BIPV (https://project-apolo.eu/. Was the main organiser of symposium K - Photonic materials and techniques for SERS and solar cell light trapping at E-MRS Fall Meeting 2016 and is gest Editor for several journals, such as PSSa (Wiley), Materials Letters (Elsevier) and Materials, Sensors and Micromachines (MDPI) He holds a patent for Solar Tiles comprising the development of silicon thin film technology for direct application in ceramic tiles building elements, which was given the Innovation Award in Energy Live Expo in 2014. He has a publication record of more than 188 publications recorded by WoK. The number of citation times registered in the WoK is above 3800 and has an H-index of 37.
thin films deposition and silicon materials for photovoltaic devices and optical sensors; nanomaterials processing; biosensors; microfluidics and SERS
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Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY, USA
Evgeny Katz received his Ph.D. in Chemistry from Frumkin Institute of Electrochemistry (Moscow), Russian Academy of Sciences, in 1983. He was a senior researcher in the Institute of Photosynthesis, Russian Academy of Sciences, in 1983-1991. In 1992-1993 he performed research at München Technische Universität (Germany) as a Humboldt fellow. Later, in 1993-2006, Dr. Katz was a Research Associate Professor at the Hebrew University of Jerusalem. From 2006 he is Milton Kerker Chaired Professor at the Department of Chemistry and Biomolecular Science, Clarkson University, NY (USA). He has (co)authored over 520 papers in peer-reviewed journals/books with the total citation more than 40,000 (Hirsch-index 93) and holds more than 20 international patents. He edited/wrote ten books on different topics, including bioelectronics, molecular and biomolecular computing, implantable bioelectronics and forensic science. He was an Editor-in-Chief for IEEE Sensors Journal (2009-2012). Presently he is an Associate Editor of Electrochemical Science Advances (Wiley), Applied Research (Wiley) and a member of editorial boards of many other journals. His scientific interests are in the broad areas of bioelectronics, biosensors, biofuel cells, and biomolecular information processing (biocomputing).
bioelectronics; biosensors; biofuel cells; biomolecular information processing (biocomputing)
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Research Group of Media Technologies, La Salle - Universitat Ramon Llull, Barcelona, Spain
Dr. 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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IoT European Digital Innovation Hub, Full Professor at the University of Salamanca,
Visiting Professor at the Osaka Institute of Technology,
Visiting Professor at the Universiti Malaysia Kelantan, President of the IEEE SMC (Spanish Chapter),
Director BISITE - Bioinformatics Intelligent Systems and Educational, Technology Research Group, Salamanca, Spain
Juan Manuel Corchado is a Full Professor of Computer Science and Artificial Intelligence at the University of Salamanca and Director of the BISITE Research Group. In addition to being the principal investigator in numerous national and European projects, he is director of the IOT Digital Innovation Hub and president of the AIR Institute, the entity through which he coordinates the DIGIS3 consortium. As a result of his experience, he was recently appointed a trustee of the AstraZeneca Foundation. He is also a visiting professor at the Osaka Institute of Technology (Japan) at the University of Kelantan (Malaysia) and was a member of the online terrorist propaganda advisory group of EUROPOL's European Counter Terrorism Center. He currently balances all of his activities with the direction of the Masters Programs in Cybersecurity, Digital Animation, Internet of Things, 3D Design and Printing, Digital Transformation, Smart Cities & Intelligent Buildings and Blockchain, at the University of Salamanca and his work as editor-in-chief of ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) and Electronics MDPI (Computer Science & Engineering section) journals. Corchado holds a PhD in Computer Science from the University of Salamanca and in Artificial Intelligence from the University of West of Scotland. He was elected as Dean of the Faculty of Science twice and held the position of Vice-Rector for Research and Transfer from 2013 to 2017 and of Director of the Science Park at the University of Salamanca. He has also been president of the IEEE Systems, Man and Cybernetics Society, academic coordinator of the University Institute for Art and Animation Technology Research at the University of Salamanca and researcher at the Universities of Paisley (UK), Vigo (Spain) and the Plymouth Marine Laboratory (UK).
He primarily works on projects related to Artificial Intelligence, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids, Sentiment Analysis and Bioinformatics.
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Control, Data and Artificial Intelligence (CoDAlab), Department of Mathematics, Escola d’Enginyeria de Barcelona Est (EEBE), Campus Diagonal-Besòs (CDB), Universitat Politècnica de Catalunya (UPC), Spain
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, Data and Artificial Intelligence 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 Society (CSS) and the IEEEE Industrial Application Society (IAS). He is also a member of the European Association for the Control of Structures (EACS) and an Editorial Board Member for International journals, such as Structural Control and Health Monitoring or Mathematical Problems in Engineering. Dr Pozo is the author of more than 65 research papers, 23 nook chapters, and the 122 conference papers.
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
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Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan, China
Dr. Yuan Yao was born in Hangzhou, China, in 1978. He received his bachelor's degree and master's degree in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 2001 and 2004, respectively. He obtained his Ph.D. degree in Chemical and Biomolecular Engineering from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2009. From 2009 to 2011, he worked as a Research Associate at the Center for Polymer Processing and Systems, HKUST. Since 2011, he has been a faculty member, starting as an assistant professor and eventually becoming a full professor, at the Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan. He currently serves as an Editorial Board Member of Sensors, as well as an Associate Editor of Quantitative InfraRed Thermography Journal and Frontiers in Chemical Engineering. He is the author of more than 100 SCI journal papers, two book chapters, and 12 patents, and the PI/co-PI of more than 60 research projects. His research interests focus on the artificial intelligence applied to chemical engineering processes, including but not limited to process data analytics, process monitoring, soft sensor techniques, and nondestructive testing data processing.
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Department of Mechanical and Automotive Engineering, RMIT University, Melbourne, VIC 3000, Australia
Yongmin Zhong received PhD in Aerospace Manufacturing Engineering. He is an Associate Professor in the School of Engineering, RMIT University, Australia, where he is the program director for the Master of Engineering (Mechanical) program. His research interest includes computational modelling, robotic-assisted minimally invasive surgery, medical robotics, robotics and automation, vehicle navigation, optimal estimation and control, virtual reality and haptics.
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School of Science and Technology, Nottingham Trent
University, Nottingham NG11 8NS, UK
Omprakash Kaiwartya is currently working as a Senior Lecturer at the Department of Computer Science, Nottingham Trent University, UK. Previously, He has worked as Research Associate at Northumbria University, Newcastle, UK and as Postdoctoral Research Fellow at Universiti Teknologi Malaysia (UTM). His recent scientific research contributions are on the Internet of connected Vehicles (IoV), Drone enabled Networking, Electric Vehicle Charging Management (EV), Internet of Things (IoT), and Next Generation Wireless Systems. He is currently PI on two industrial projects, EV Cybernetics and iSEM, and three internal projects, including CAV, LiNET, and DroNET, and the DoS for the Ph.D. scholarship in CAV Cybernetics (more details, https://omprakash.co.uk/projects/). He has expertise in handling cyber risks on EV charging networks and industrial systems. His research is funded by Innovate UK, and UK industrial partners including AURRIGO, RAW Charging, CLEAN Car, JMVL, Purview Services, and COBAC SECURITY. He is an Associate Editor of reputed SCI Journals including IEEE IoT, IET Intelligent Transport Systems, EURASIP Journal on Wireless Communication and Networking, MDPI Sensors and Electronics, Wireless Communications, and Mobile Computing Hindawi. Ad-Hoc Sensor Wireless Networks, and Transactions on Internet and Information Systems. He is also Guest Editor of many recent special issues in reputed journals, including IEEE Internet of Things Journal, IEEE Access, Sensors, Electronics, Journal of Sensors, Wireless Communications, and Mobile Computing.
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Professor Jörn Mehnen is working at the University of Strathclyde, Glasgow, UK, in the field of Advanced Digital Manufacturing. His special interest lies in developing new knowledge and applying smart technologies for advancing academic knowledge for industrial applications in Industry 4.0 and Industry 5.0. His background lies in Computer Sciences and Advanced Manufacturing. Professor Mehnen is engaged in projects from applying Edge IIoT in industry to developing AI for smart, trustworthy and sustainable manufacturing. He won a prestigious EPSRC Fellowship and Horizon 2020 projects, ran major projects in Wire and Arc Additive Manufacturing (WAAM), and was Deputy Director of the EPSRC Centre for Through Life Engineering Services. He is a long standing member of the EPSRC Peer Review College. Professor Mehnen published 4 books and more than 140 conference and journal articles. His edited Springer book on Cloud Manufacturing was one of the first and leading contributions in the field. He is an editor at the Springer Journal of Intelligent Manufacturing. He edited the Sensors special issues "Smart Sensors in the Industrial Internet of Things (IIoT)" and "Human-Centred Smart Manufacturing - Industry 5.0".
Keynote Speakers
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Prof. Dr. Sabina Merlo Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy Short Bio Sabina Merlo is Full Professor of Electrical and electronic measurements at the Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia (Italy). She holds a master’s degree and a Ph.D. degree, both in electronic engineering, from the University of Pavia. She also received the M.S.E. degree in bioengineering from the University of Washington, Seattle, USA, thanks to a Rotary Foundation Graduate Scholarship. Within the Faculty of Engineering of University of Pavia, she is member of the Executive and Quality committees as well as Teaching Activity Council President for Information engineering. She is teaching Microelectronic, MEMS and Optoelectronic classes for undergraduate and graduate students in Engineering. She was visiting professor at the University of Southampton (UK) and at MIT (USA). She is Vice-President of the “Distretto della Microelettronica Pavese” recognized as Ecosystem for Microelectronics of the Italian Lombardy region. Her research interests include optical testing of MEMS/MOEMS and microfluidic devices, optical interferometry, optical chemical sensing, as well as biomedical and industrial applications of photonics. She has been PI and coordinator of several research projects funded by Italian government and private companies. She has collaborated with STMicroelectronics on MEMS/MOEMS since the very beginning of the company activity in this field. She holds four patents and is the author of approximately 200 publications in journals, books, and conference proceedings. She is Senior member of IEEE Photonics and Intrumentation & Measurement Societies, as well as of AEIT and GMEE. She is an Associate Editor of MDPI Sensors and Editorial Board Member of MDPI Micromachines. |
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Prof. Dr. Leyre Azpilicueta Department of Electrical, Electronic and Communication Engineering, Institute of Smart Cities, Public University of Navarre (UPNA), Spain. Short Bio LEYRE AZPILICUETA received her Telecommunications Engineering Degree (2009), her Master’s Degree of Communications (2011) and her Ph.D. Degree in Telecommunication Technologies (2015), at the Public University of Navarre (UPNA), in Spain. In 2010 she worked in the R&D department of RFID Osés as radio engineer. From 2015 to 2022, she was an Associate Professor and Researcher at Tecnologico de Monterrey, Campus Monterrey, Mexico. Currently, she is a Ramon y Cajal Fellow (Researcher & Professor) at UPNA, in Spain. She has over 250 contributions in relevant journals and conference publications. Her research interests are on radio propagation, mobile radio systems, wireless sensor networks, ray tracing, and channel modeling. She was the IEEE Communications Society Monterrey Chapter Chair (2020-2022), and Faculty Advisor of the IEEE-HKN Lambda-Rho Chapter (2020-2022). She is currently the Vice-Chair of the IEEE ComSoc RCC Special Interest Group on Propagation Channels for 5G and Beyond. She is Associate Editor of IEEE Sensors Letters Journal (2020-present), IEEE Journal on Multiscale and Multiphysics Computational Techniques (2022-present), Computer Communications Journal (2021-present) and International Journal of Electronics and Communications (2018-date). She has co-authored the textbook Radio Wave propagation in Vehicular Environments (2020), from The Institution of Engineering and Technology. She has received numerous awards over the past few years, including the 2014 IEEE Antennas and Propagation Society Doctoral Research Award, the Young Professors and Researchers Santander Universities 2014 Mobility Award, the Best PhD in 2016 awarded from Colegio Oficial de Ingenieros de Telecomunicación (COIT), the 2018 IEEE N2Women: Rising Stars in Computer Networking and Communications Award, the IEEE Junior Research Raj Mittra Travel Grant 2020, the Distinguished Professor Award 2020 and 2021, and the IEEE Mojgan Daneshmand Grant 2021. She also co-authored papers that received Best Paper Awards at conferences, including ECSA 2014, the IISA 2015, ISSI 2019, and EAI IndustrialIoT 2020. |
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Dr. Dirk Lehmhus |
Sessions
B. Physical Sensors
C. Sensor Networks, IoT and Structural Health Monitoring
D. Sensor Data Analytics
E. Sensors and Artificial Intelligence
F. Student Session
G. Poster session
S1. Smart Agriculture Sensors
S2. Materials for Sensing Applications
S3. Electronic Sensors, Devices and Systems
S4. Wearable Sensors and Healthcare Applications
S5. Robotics, Sensors and Industry 4.0
List of accepted submissions (141)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-080984 | Development of a Cochlear Biomodel using Micro-Electromechanical Systems (MEMS) | , , | N/A | N/A |
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The human cochlea is undeniably one of the most amazing organs in the body. One of its most intriguing features is its unique capability to convert sound waves into electrical nerve impulses. Humans can generally perceive frequencies between 20 Hz and 20 kHz with their auditory systems. Several studies have been conducted on building an artificial basilar membrane for the human cochlea (cochlear biomodel). It's possible to mimic the active behavior of the basilar membrane using micro-electromechanical systems (MEMS). This paper proposes an array of MEMS bridge beams that are mechanically sensitive to the perceived audible frequency. It was designed to operate within the audible frequency range of a set of bridge beams with 0.65 μm thickness, width of 50 μm and varying lengths between 200 μm and 2000 μm. As the material for bridge beam structures, Platinum (Pt), Molybdenum (Mo), Chromium (Cr), and Aluminium (Al) have been considered. For the cochlear biomodel, platinum has proven to be the best material, closely mimicking the basilar membrane, based on the finite element (FE) and lumped element (LE) models. |
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sciforum-080217 | Development of a compact IoT-enabled device to monitor air pollution for environmental sustainability |
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VIDHYA D ,
Uma Mageshwari K ,
Rupa Kesavan
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Degrading air quality has been a matter of concern nowadays, and monitoring the air quality helps us keep a check on it. Air pollution is a pressing global issue with far-reaching impacts on public health and the environment. The need for effective and real-time monitoring systems has become increasingly apparent to combat this growing concern. Here, an innovative air pollution monitoring system (APMS) that leverages internet of things (IoT) technology to enable comprehensive and dynamic air quality assessment is introduced. The proposed APMS employs a network of IoT-enabled sensors strategically deployed across urban and industrial areas. These sensors are equipped to measure various pollutants, including particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO), and volatile organic compounds (VOCs). Here, a regression model is created to forecast air quality using sensor data while taking into account variables including weather information, traffic patterns, and pollutants. Additionally, air quality categories (such as good, moderate, and harmful) are classified using classification algorithms based on preset thresholds. The IoT architecture facilitates seamless data transmission from these sensors to a centralized cloud-based platform. The developed APMS monitors the air quality using a MQ-135 gas sensor, and the data are shared over a web server using the internet. An alarm will trigger when the air quality goes below a certain level. Also, the air quality, which is measured in parts per million (PPM), is displayed on the unit connected to it. Further, an alert message is sent to the air pollution control board when the PPM goes beyond a certain level, which takes preventive measures to control the pollution and also alerts the people, which helps each person in that society save their environment from pollution and have a good air quality environment. Additionally, the APMS offers user-friendly interfaces, accessible through web and mobile applications, to empower citizens with real-time air quality information. The effectiveness of the IoT-based air pollution monitoring system has been validated through successful field trials in urban and industrial environments, and it has the ability to provide real-time data insights and empower stakeholders in promoting environmental sustainability and fostering citizen engagement. |
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sciforum-078088 | Tool Wear Estimation in the Milling Process Using a Simple Machine Learning Backpropagation Algorithm |
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Pedro Conceição Júnior ,
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Fábio Dotto
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N/A | N/A |
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Tool condition monitoring (TCM) systems are essential in milling operations to guarantee the product’s quality, and when those are paired with indirect measure techniques, such as vibration or acoustic emission sensors, the monitoring can happen without sacrificing productivity. Some more advanced techniques in tool wear estimation are based on supervised machine learning algorithms, like several other applications in the Industry 4.0’s context, however, a satisfactory performance can be obtained with simple techniques and low computational power. This work focuses on an application of tool wear estimation using a simple backpropagation neural network in a milling dataset. Statistics techniques, i.e., the mean, variance, skewness and kurtosis were used as features extracted of indirect measurements from vibration and acoustic emission sensors’ data in a real milling testbench dataset containing multiple experiments with sensor data and a direct measure of the flank wear (VB) in most instances. The data was preprocessed, specifically to acquire clean and normalized values for the neural network training, assuming the VB measure as the target variable to predict tool wear, and all incomplete samples without a VB measure, as well as outliers, were removed beforehand. The train and test subsets were chosen randomly after making sure that the maximum values of every variable were represented in the training subset. A multiple topology approach was implemented to test multiple backpropagation neural networks’ configurations to determine the most suitable one based on two performance criteria, i.e., Mean Absolute Percent Error (MAPE) and variance. Although only a simple backpropagation algorithm was used, the results were adequate to demonstrate a balance between accuracy and computational resource usage. |
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sciforum-080324 | Celestial body surface mapping for resource discovery by using satellites |
Yuxian Li ,
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N/A | N/A |
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The exploration of the Solar system from Earth in search of new living spaces will provide new options and possibilities for the survival and development of humankind, where the understanding of their environment, and their resource utilization are essential stages to develop. In the future, when space technology is highly developed and the cost of interplanetary transportation is greatly reduced, planets such as Saturn, Mars and Jupiter will become the "islands" in the Solar system for human settlements. The identification of such resources usually done through exploration, monitoring with sensors and spectral analysis is needed. The development of techniques for satellite surveying to organize the surface of such celestial bodies to generate maps with resource information is part of the first steps for the exploration. For the purpose of a highly accurate 3D modeling of the celestial body and a flat 2D map presentation, the surface structure of the celestial body should be understood by using geometry as well as different types of map projection methods, that will be exploited by the satellites. Different geometrical models and algorithms together with information from sensing systems can be used as much as possible in order to accurately locate the position of on-surface vehicles that could perform in-situ analysis of surface samples. Thus, the combination of the 2D/3D techniques with localization information obtained from sensors, and its use through the satellites, creates a map of the distribution of the celestial body resources. In this article, a projection method based on such a combination and other conventional techniques to achieve better accuracy and efficiency during the process of mapping and projection of a celestial body surface is presented. |
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sciforum-080322 | Intelligent Interplanetary Satellite Communication Network for The Exploration of Celestial Bodies |
Abraham Urieta-Ortega ,
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N/A | N/A |
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Over the past few decades, a significant interest in space exploration has emerged, driven by the lack of resources and the quest for answers to issues like climate change on Earth. New technologies have brought us closer to the possibility of exploring and mapping our solar system and its surroundings in greater detail. Alongside these new horizons, important challenges also emerge. Current methods of space communications operate with a notable lack of efficiency. The vast distances between celestial bodies within our solar system and Earth result in data transmission and reception that fall far short of real-time capabilities. Factors such as bandwidth asymmetry contribute to disruptions in the satellite communications network, e.g., intermittency of service. This paper proposes the development of an interplanetary satellite communication network, which is built upon a communications protocol featuring dynamic routing. This network architecture aims to optimize information transportation by adapting its communications algorithm to environment conditions as quickly as possible. The envisioned satellite infrastructure involves strategically placing satellites at key Lagrange points around each moon and planet within the asteroid belt. The elements within the infrastructure must be aware of their position in space through the integration of sensing capabilities and intelligent algorithms. Near each planet, a satellite with more capabilities will be tasked with gathering and transmitting the information from nanosatellites orbiting a planet, which will relay the respective signals back to our planet. This architecture will enable faster decision-making processes based on exploration data of the most significant celestial bodies within the asteroid belt, providing valuable insights such as constant monitoring of the dark side of the moon and difficult to reach zones in the Solar system. |
Live Sessions Recordings
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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.
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Scholars interested in participating in the conference can submit their abstract (about 200–300 words) online on this website until 31st August 2023.
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The Conference Committee will notify the acceptance of the abstract by 15th September 2023.
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In case of acceptance, authors will be asked to submit their manuscript (short proceedings paper, 3-6 pages) before
30th September 202315th October 202320th October 2023. Optionally, authors of accepted abstracts will be able to submit a poster, a slides presentation (in PDF) and/or a short video presentation (max. 3-5 minutes) as supporting material of the paper. Authors will receive a notification about the acceptance of their papers by23 October 2023end October 2023. -
The manuscripts and presentations will be available on sciforum.net for discussion and rating during the time of the conference, from 15–30 November 2023.
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All submissions will be reviewed using the powerful text comparison tool iThenticate. This procedure aims to prevent scholarly and professional plagiarism. Submissions will then be peer-reviewed by conference committees based on originality/novelty, quality of presentation, scientific soundness, interest to the readers, overall merit and English level. After the conference, all submissions will be published on sciforum.net, and only the proceeding paper (3-6 pages) will be published with DOI in the MDPI Engineering Proceedings journal (indexed within Scopus, ISSN 2673-4591).
Note: Publication of proceedings paper is free of charge. Before publication, Engineering Proceedings journal will check the plagiarism issue again. Submissions with a lack of novelty will not be published in the journal.
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The open access journal Sensors (Impact Factor 3.9) 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.
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Abstract
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Introduction
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(Acknowledgements)
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References
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 on 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 PDF format before submission so that our process can easily and automatically convert them for online display.
Authors are also encouraged to submit video presentations. This is a unique way of presenting your paper and discussing it with peers from all over the world. The 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 30 September 2023 15th October 2023.
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.
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)".
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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 the "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).
Event Awards
Winner Announcement
On behalf of the chairs of ECSA 2023, we are pleased to announce the winners of the Best Contribution Award:
sciforum-078163, "Development of a Monitoring System against Illegal Deforestation in the Amazon Rainforest Using Artificial Intelligence Algorithms"
Thiago Almeida Teixeira, Neilson Luniere Vilaca, Andre Luiz Printes, Raimundo Claúdio Souza Gomes, Israel Gondres Torné, Thierry-Yves Alves Araújo and Arlley Gabriel Dias e Dias
sciforum-078140, “Artificial Nutrition Monitoring Through An Optofluidic Platform”
Elisabetta Bodo and Valentina Bello
On behalf of the chairs of ECSA 2023, we are pleased to announce the winner of the Student Award:
sciforum-078210, "Development of a Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring"
Nicky Andre Prabatama, Pierre Hornych, Stefano Mariani and Jean-Marc Laheurte
The Award consists of 500 CHF and a certificate.
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.
Proceedings of Previous Editions
Proceedings of the 9th International Electronic Conference on Sensors and Applications (ECSA-9)
Proceedings of the 8th International Electronic Conference on Sensors and Applications (ECSA-8)
Proceedings of the 7th International Electronic Conference on Sensors and Applications (ECSA-7)
Proceedings of the 6th International Electronic Conference on Sensors and Applications (ECSA-6)
Proceedings of the 5th International Electronic Conference on Sensors and Applications (ECSA-5)
Proceedings of the 4th International Electronic Conference on Sensors and Applications (ECSA-4)
Proceedings of the 3rd International Electronic Conference on Sensors and Applications (ECSA-3)
Conference Secretariat
Ms. Doris Dai
Ms. Kellie Wong
E-Mail: ecsa@mdpi.com
Sponsoring Opportunities
For information regarding sponsoring opportunities, please contact the conference secretariat.
Sponsors and Partners
For information regarding sponsorship and exhibition opportunities, please click here.
Organizers
Media Partners
A. Chemo- and Biosensors
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B. Physical Sensors
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C. Sensor Networks, IoT and Structural Health Monitoring
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D. Sensor Data Analytics
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E. Sensors and Artificial Intelligence
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F. 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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G. Poster session
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S1. Smart Agriculture Sensors
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S2. Materials for Sensing Applications
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S3. Electronic Sensors, Devices and Systems
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S4. Wearable Sensors and Healthcare Applications
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S5. Robotics, Sensors and Industry 4.0
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