4th International Electronic Conference on Sensors and Applications
Part of the International Electronic Conference on Sensors and Applications series
15–30 Nov 2017
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- Event Details
Welcome from the Chairs
Welcome from the Conference Chairs of the 4th International Electronic Conference on Sensors and Applications
All participants of ECSA-4 are welcome to submit the extended work to the Sensors Special Issue "Selected Papers from the 4th International Electronic Conference on Sensors and Applications".
We gladly announce that Dr. Francisco Falcone, Prof. Kunio Shimada, Mr. Stephen Reece, Dr. Filippo Ubertini,
Prof. Dr. U. Schmid and Prof. Hugo J. Avila-Paredes' papers were awarded the ECSA-4 Best Paper Award in 2017.
We are pleased to announce the 4th International Electronic Conference on Sensors and Applications. After the success of the three editions from 2014 to 2016, this year edition will focus on 5 thematic areas where sensors are changing science:
- Biosensors (Session A)
- Chemical Sensors (Session B)
- Physical Sensors (Session C)
- Sensor Networks (Session D)
- Applications (Session E)
There will be 2 specific sessions:
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.
This event will solely be an online proceeding which allows the participation from all over the world with no concerns of travel and related expenditures. This type of conference is particularly appropriate and useful because research concerned with sensors is progressing rapidly. An electronic conference provides a platform for rapid and direct exchanges about the latest research findings and novel ideas. The participation as well as the “attendance” of this online conference is free of charge.
The 4th International Electronic Conference on Sensors and Applications will be held at https://sciforum.net/conference/ecsa-4, on a platform developed by MDPI to organize electronic conferences.
The 4th International Electronic Conference on Sensors and Applications is sponsored by MDPI and the scientific journals Sensors. Accepted papers will be published in the proceedings of this e-conference, and selected papers will be published in Sensors with a 20% discount off the APC. Sensors is an Open Access publication journal of MDPI in the field of the science and technology of sensors and biosensors (https://www.mdpi.com/journal/sensors).
We hope the community will share this enthusiasm and help making this 4th edition a success – for many to come in the future.
The Chairs of the 4th International Electronic Conference on Sensors and Applications.
Dr. Stefano Mariani |
Dr. Francesco Ciucci |
Dr. Dirk Lehmhus |
Dr. Thomas B. Messervey |
Dr. Alberto Vallan |
Dr. Stefan Bosse |
Brief Bio-Sketch of Dr. Stefano Mariani
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; Applied Mathematics and Sciences; the International Journal of Computer Science and Application; the International Journal of Information and Computer Science; the International Journal on Advances in Systems and Measurements; Micromachines; Open Transactions on Wireless Sensor Network; the PIRAD Journal of Sensors; and Sensors. 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.
Brief Bio-Sketch of Dr. Francesco Ciucci
Francesco Ciucci is an assistant professor in Mechanical and Aerospace Engineering and in Chemical and Biomolecular Engineering at the Hong Kong University of Science and Technology. He received his M.Sc. and Ph.D. in Mechanical Engineering at the California Institute of Technology; his education was supported by a Rotary Ambassadorial Scholarship and a Bechtel Fellowship. He pursued a postdoctoral fellowship at the University of Heidelberg’s Institute of Scientific Computing, where he received a Marie Curie Reintegration Grant from the European Union (2010-2013). Prior to that, he obtained a dual M.Sc. degree in Applied Mathematics/Applied Physics at the Ecole Centrale Paris, France and in Aerospace Engineering at the Polytechnic University of Milan, Italy. His current research interests include: modeling electrochemical devices (fuel cells, batteries, and sensors), optimal experimental design, numerical methods for energy conversion and storage, and SOFC material development.
Brief Bio-Sketch of Dr. Dirk Lehmhus
Dirk Lehmhus received his mechanical engineering diploma based on studies (at Volkswagen’s central laboratory) dedicated to the galvanic corrosion of magnesium alloys. He joined Fraunhofer IFAM in 1998, and has been working on metallic foams and structures since then. Dr. Lehmhus obtained a PhD in production technology at Bremen University for studies concerning the optimization of aluminum foam production processes and properties. From 2006 to 2009, he lectured on “Materials Science and Mechanics” at the University of Applied Science (FH) Bremen. In May 2009, he moved to the University of Bremen to become managing director of its Scientific Center ISIS (Integrated Solutions in Sensorial Structure Engineering), the foundation of which he helped organize. The center is dedicated to the development of sensorial materials and sensor-equipped structures. Since 2009, he has been regularly involved in topic and symposium coordination at the Euromat conference series, with a special focus on materials with transport applications.
Brief Bio-Sketch of Dr. Thomas B. Messervey
Tom Messervey has over 20 years of engineering experience, which includes military service in the US Army Corps of Engineers, industrial experience with the Italian Engineering Company, D’Appolonia, teaching excellence at the United States Military Academy at West Point, and coaching services as the EU Facilitator for the Intelligent Manufacturing Systems program (www.ims.org). He serves as an expert for the European Commission in textiles, manufacturing, and energy efficiency. His research interests focus on using sensor data to make better engineering decisions across design, assessment, maintenance, inspections, and energy management to include machine learning. He is a member of the International Association of Bridge Maintenance and Safety (IABMAS), the International Association of Life Cycle Civil Engineering (IALCCE), and a technical reviewer for the International Journal of Safety and Security Engineering and the Journal of Structure and Infrastructure Engineering.
Brief Bio-Sketch of Dr. Alberto Vallan
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 Assistant Professor of Electronic Measurements with the Department of Electronics and Telecommunications of the Politecnico di Torino. His research interests are mainly in the measurement and sensor fields and are focused on the development and characterization of fiber sensors and measuring instruments for industrial applications. Dr. Vallan is a Senior Member of the IEEE/Instrumentation & Measurement Society.
Brief Bio-Sketch of Dr. Stefan Bosse
Stefan Bosse received his physics diploma in the year 1998 at the University of Bremen addressing surface distortion measuring methods based on correlation analysis of scattered laser light. He received a doctoral degree in physics in the year 2002 at the University of Bremen based on laser-light scattering measuring methods used for high-viscose liquid flow analysis. Beside natural science, his scientific interests were devoted from the beginning to distributed computing systems and distributed operating systems. In the year 2004 he joined the Department of Computer Science and the working group robotics working as a senior researcher and lecturer. Since 2002 until today he focuses his work on parallel and distributed systems in general, sensor networks and sensorial materials, Artificial Intelligence (Agents and Machine Learning), Cloud-based computing and the Internet-of-Things, but also on System-on-Chip circuit design and computer aided design (high-level synthesis). Interdisciplinary work is one major skill. Since 2008 he conducts projects in the ISIS Sensorial Materials Scientific Centre pushing interdisciplinary research bridging material and computer sciences, and recently joining the ISIS council. He acts as a reviewer and guest editor for international journals and joins international conference programme committees, and he gives multiple lectures at the University covering basics of computer science, parallel and distributed systems, circuit design, and material-integrated sensing systems.
Call for Participation
The 4th International Electronic Conference on Sensors and Applications will be held from 15–30 November 2017 in the internet environment. This event will solely be an online proceeding which allows the participation from all over the world with no concerns of travel and related expenditures, while at the same time making rapid and direct exchanges about the latest research findings and novel ideas in sensors. All proceedings will be held online at https://sciforum.net/conference/ecsa-4 and in Journal Proceedings.
The conference aims to bring the scientists working in the field onto a common platform and promote and advance the exciting and rapidly changing field of sensing technologies and applications along the following 5 main themes:
- Biosensors (Session A)
- Chemical Sensors (Session B)
- Physical Sensors (Session C)
- Sensor Networks (Session D)
- Applications (Session E)
and 2 specific sessions:
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.
Abstracts (in English) should be submitted by 1 October 2017 online at https://www.sciforum.net/login. For accepted abstracts, the full paper can be submitted by 21 October 2017 . The conference itself will be held from 15–30 November 2017.
Paper Submission GuidelinesFor information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": https://www.sciforum.net/conference/ecsa-4/page/instructions.
Conference Chairs
Stefano Mariani
Francesco Ciucci
Dirk Lehmhus
Thomas B. Messervey
Alberto Vallan
Stefan Bosse
Stefano Mariani
Politecnico di Milano
[email protected]
Francesco Ciucci
[email protected]
Dirk Lehmhus
Fraunhofer IFAM
[email protected]
Thomas Messervey
[Not defined]
[email protected]
Alberto Vallan
Politecnico di Torino
[email protected]
Stefan Bosse
University of Bremen
[email protected]
Instructions for Authors
Submissions should be done by the authors online by registering with www.sciforum.net, and using the "New Submission" function once logged into system.
- Scholars interested in participating with the conference can submit their abstract (about 200-250 words covering the areas of manuscripts for the proceedings issue) online on this website until 1 October 2017.
- The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the authors of the abstract will be welcome for the 4th International Electronic Conference on Sensors and Applications. All authors will be notified by 5 October 2017 about the acceptance of their abstract.
- If the abstract is accepted for this conference, the author is asked to submit the manuscript, optionally along with a PowerPoint and/or video presentation of his/her paper (only PDF), until the submission deadline of 21 October 2017.
- The conference proceedings papers and presentations will be available on sciforum.net/conference/ecsa-4 for discussion during the time of the conference 15–30 November 2017 and will be published in Journal Proceedings.
- The Open Access Journal Sensors will publish Special Issue of the conference and accepted papers will be published in the proceedings of the conference itself. After the conference, the Conference Committee will select manuscripts that may be included for publication in the Special Issue of the journal Sensors (the submission to the journal is independent from the conference proceedings and will follow the usual process of the journal, including peer-review, APC, etc.).
Manuscripts for the proceedings issue must have the following organization:
First page:
- Title
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Abstract (200-250 words)
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Manuscripts should be prepared in MS Word or any other word processor and should be converted to the PDF format before submission. The publication format will be PDF. The manuscript should count at least 3 pages (incl. figures, tables and references) and should not exceed 6 pages.
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the Manuscript. Slides, if available, will be displayed directly in the website using Sciforum.net's proprietary slides viewer. Slides can be prepared in exactly the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.
Besides their active participation within the forum, authors are also encouraged to submit video presentations. If you are interested in submitting, please contact the conference organizer – [email protected] to get to know more about the procedure. This is an unique way of presenting your paper and discuss it with peers from all over the world. Make a difference and join us for this project!
Submission: Manuscripts should be submitted online at www.sciforum.net/login by registering and logging in to this website.
Accepted File Formats
- MS Word: Manuscript prepared in MS Word must be converted into a single file before submission. When preparing manuscripts in MS Word, the Electronic Conference on Sensors and Applications Microsoft Word template file (see download below) must be used. Please do not insert any graphics (schemes, figures, etc.) into a movable frame which can superimpose the text and make the layout very difficult.

- Paper Format: A4 paper format, the printing area is 17.5 cm x 26.2 cm. The margins should be 1.75 cm on each side of the paper (top, bottom, left, and right sides).
- Paper Length: The conference proceedings paper should not be longer than 6 pages. The conference manuscript should be as concise as possible.
- Formatting / Style: The paper style of the Journal Sensors should be followed. You may download the template file to prepare your paper (see above). The full titles and the cited papers must be given. Reference numbers should be placed in square brackets [ ], and placed before the punctuation; for example [4] or [1-3], and all the references should be listed separately and as the last section at the end of the manuscript.
- Authors List and Affiliation Format: Authors' full first and last names must be given. Abbreviated middle name can be added. For papers written by various contributors a corresponding author must be designated. The PubMed/MEDLINE format is used for affiliations: complete street address information including city, zip code, state/province, country, and email address should be added. All authors who contributed significantly to the manuscript (including writing a section) should be listed on the first page of the manuscript, below the title of the article. Other parties, who provided only minor contributions, should be listed under Acknowledgments only. A minor contribution might be a discussion with the author, reading through the draft of the manuscript, or performing English corrections.
- Figures, Schemes and Tables: Authors are encouraged to prepare figures and schemes in color. Full color graphics will be published free of charge. Figure and schemes must be numbered (Figure 1, Scheme I, Figure 2, Scheme II, etc.) and a explanatory title must be added. Tables should be inserted into the main text, and numbers and titles for all tables supplied. All table columns should have an explanatory heading. Please supply legends for all figures, schemes and tables. The legends should be prepared as a separate paragraph of the main text and placed in the main text before a table, a figure or a scheme.
It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section.
CopyrightMDPI AG, 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 AG 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).
List of accepted submissions (49)
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sciforum-015248 | Low Cost Air Quality Sensor Deployment and Citizen Science: The Peñuelas Project | , , , , , , , , , |
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The U.S. Environmental Protection Agency (EPA) and Desarrollo Integral del Sur, Inc (DISUR), a Puerto Rico-based community action group, collaborated to determine the efficacy of citizen science involving the use of low cost air quality sensors. The EPA developed a unique low cost AC powered multi-pollutant Citizen Science Air Monitor (CSAM) that was provided to the community group along with the training/tools needed for its operation. The citizens self-organized a community effort to conduct approximately five months of intensive air quality monitoring in an area of Puerto Rico (Tallaboa-Encarnación, Peñuelas) having little historical data on spatial variability (Ponce). Real-time measurements of the particulate matter size fraction 2.5 micron (PM2.5), nitrogen dioxide (NO2), total volatile organic compounds (tVOCs), and meteorological parameters (wind speed, wind directions, temperature, relative humidity) were obtained. The study provided the Peñuelas and surrounding communities an in-depth investigation of local air quality and opportunities for citizen scientists to gain extensive experience in the use of emerging sensor technologies. The collaboration also provided the EPA an opportunity to evaluate low cost sensor performance under harsh environmental conditions (high relative humidity in a coastal environment). We present the approach and preliminary environmental findings of the EPA’s efforts the deploy a low cost multi-pollutant sensor pod associated with a citizen science research study. |
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sciforum-014454 | Robust and Adaptive Image Segmentation for Structural Monitoring using Autonomous Agents | , , | N/A |
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Monitoring of mechanical structures is a Big Data challenge and includes Structural Health Monitoring (SHM) and Non-destructive Testing (NDT). The sensor data produced by common measuring techniques, e.g., guided wave propagation analysis, is characterized by a high dimensionality in the temporal and spatial domain. There are off- and on-line methods applied at maintenance- or run-time, respectively. On-line methods (SHM) usually are constrained by low-resource processing platforms, sensor noise, unreliability, and real-time operation requiring advanced and efficient sensor data processing. Commonly, structural monitoring is a task that maps high-dimensional input data on low-dimensional output data (information, that is feature extraction), e.g., in the simplest case a Boolean output variable “Damaged”. Machine Learning (ML), e.g., supervised learning, can be used to derive such a mapping function. But ML quality and performance depends strongly on the input data size. Therefore, adaptive and reliable input data reduction (that is feature selection) is required at the first layer of an automatic structural monitoring system. Assuming some kind of two-dimensional sensor data (or n-dimensional data in general), image segmentation can be used to identify Regions of Interest (ROI), e.g., of wave propagation fields. Wave propagation in materials underlie reflections that must be distinguished, especially in hybrid materials (e.g., combining metal and fibre-plastic composites) there are complex wave propagation fields. The image segmentation is one of the most crucial part of image processing (Mishra, 2011). Major difficulties in image segmentation are noise and the differing homogeneity (fuzziness and signal gradients) of regions, complicating the definition of suitable threshold conditions for the edge detection or region splitting/clustering. Many traditional image segmentation algorithms are constrained by this issue. Artificial Intelligence can aid to overcome this limitation by using autonomous agents as an adaptive and self-organizing software architecture, presented in this work. Using a collection of co-operating agents decomposes a large and complex problem in smaller and simpler problems with a Divide-and-Conquer approach. Related to the image segmentation scenario, agents are working mostly autonomous (de-coupled) on dynamic bounded data from different regions of an image (i.e., distributed with simulated mobility), adapted to the locality, being reliable and less sensitive to noisy sensor data. In this work, different agent behaviour and segmentation approaches are introduced and evaluated with measured high-dimensional data from piezo-electric acusto-ultrasonic sensors recording wave propagation in plate-like structures. Commonly, SHM deploys only a small set of sensors and actuators at static positions delivering only a few temporal resolved sensor signals (1D), whereas NDT methods additionally can use spatial scanning to create images of wave signals (2D). Both one-dimensional temporal and two-dimensional spatial segmentation is considered to find characteristic ROIs. |
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sciforum-014098 | Combining Water Indices for Water and Background Threshold in Landsat Image | , , , | N/A |
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Accurate and frequent update of surface water has been made possible by remote sensing technology. Index methods are mostly used for surface water estimation which seprates the water and nonwater bodies based on a threshold. Generally thresholds have fixed value but are challenging in case of shades, hills, forest and urban areas. In such case, determination of threshold is done manually which is subjective and can cause a lot variation in area. In order to widen the difference between water and non water class and ease the threshold selection, a combination of muntiple water index can be used. This could widen the gap between classes and the threshold sensitivity can be minimized. In this study, we combined Normalized Difference Water Index (NDWI), Modified NDWI, Water Ratio Index and Normalized Difference Vegetation Index to form a new raster and explore the efficiencty of thresholding compared to individual indices on Landsat 8 Operational Land Imager (OLI) image of Nepal. The combined index shows much better separation of water with it is background and can be further used for automated binary classification of surface water. The process could be very useful in mapping surface water accurately. |
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sciforum-014091 | Integration of Autonomous Wireless Sensor Networks in Academic School Gardens | , , , , , | N/A |
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In this work, the combination of capabilities provided by Wireless Sensor Networks with parameter observation in a school garden is employed in order to provide a comprehensive environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp. The system enables direct parameter observation as well as data analysis and processing capabilities, which can be further employed with students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom needs. The proposed WSN for monitoring the orchard located in the schoolyard of a primary school has been built with EnOcean’s energy harvesting modules, operating at 868.3 MHz with a data rate of 125 kbps and transmitting between 5-8 dBm of power. These wireless modules have incorporated a temperature sensor and there is the possibility of equipping them with a humidity sensor. Each module communicates only with a central module connected to a PC or laptop via USB, in a star topology. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools. |
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sciforum-014114 | Theoretical study of quasi-longitudinal Lamb modes in SiN/c-AlN thin composite plates for liquid sensing applications | , , | N/A |
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The propagation of longitudinally polarized acoustic modes along thin piezoelectric plates has been previously reported [1], aiming at the design of high frequency and low loss electroacoustic devices suitable for working in liquids. The investigation of the acoustic field profile across the plate revealed the presence of higher order quasi-longitudinally polarized Lamb modes, traveling at velocities close to that of the longitudinal bulk acoustic wave propagating in the same direction. The commonly used fundamental anti-symmetric Lamb modes Ao is suitable for liquid sensing only for very small plate thickness-to-wavelength ratio h/l corresponding to a phase velocity lower than that of the liquid to be tested (v<1400 m/s), which results in low sensor operating frequencies and sensitivity. The fundamental symmetric mode S0 is much faster than A0 (thus allowing higher operating frequencies) but it is suitable for liquid sensing application only for a limited h/l range (up to 0.1) corresponding to predominant longitudinal polarization. This latter limitation can be overcome by investigating the propagation of higher order quasi-longitudinal modes with close-to-zero transverse particle displacement component at the surface of the plate contacting the liquid environment. The zero-surface transverse component will prevent attenuation of acoustic energy into the liquid. Disperse, McGill and COMSOL Multiphysics simulations were used to study the dispersion curves and the acoustic field profile of the fundamental and higher order modes traveling in SiN/AlN thin suspended membranes, for fixed SiN thickness (200 nm) and variable AlN thickness. Two higher order modes, qS1 and qS2, were found that are slowly dispersive and have dominant longitudinal particle displacement component, at hAlN/l = 0.8 and 1.6 respectively. The acoustic field profile shows that the modes have close to zero out-of-plane particle displacement at the surface of the thin film. The electroacoustic coupling coefficient K2 dispersion curves were studied for four different electroacoustic coupling configurations, based on interdigital transducers (IDTs) positioned at the AlN surface, with or without a metal floating electrode at the opposite layer surface. The theoretical sensitivity to the density-viscosity product of a Newtonian liquid was calculated for the two modes. In order to verify the technological feasibility of such device and to test the technological complexity, Cr/Au IDTs were implemented onto the bare Silicon Nitride (Si3N4) thin suspended membrane (200 nm thick, and with the area equal to 1.5 mm x 1.5 mm) by electron beam lithography (EBL) technology. Then a c-AlN layer was deposited by rf magnetron sputtering technique onto the suspended membrane. The IDTs width of 0.5 mm (equal to l/4) was achieved with EBL resolution of 500 nm onto the Si3N4 suspended membrane (wavelength l = 2 μm). The piezoelectric AlN thin film was deposited onto a reduced area of the surface of the Si3N4 suspended membrane by using a shadow mask with an opening area of 1 mm x 1 mm, thus an AlN layer was sputtered having an “island-like” structure, with the thickness of 1.4 μm and 3 μm. The use of a mask is a method that offers the remarkable advantage to reduce the complexity of the device fabrication process based on several technological steps, including the silicon substrate surface or bulk micromachining and the etching of a sacrificial layer to release the membrane.
[1] Caliendo, Cinzia. "Longitudinal Modes along Thin Piezoelectric Waveguides for Liquid Sensing Applications." Sensors 15.6 (2015): 12841-12856. |
Keynote Speakers
U. Schmid was born in Munich, Germany, in 1972. He started studies in physics and mathematics at the University of Kassel in 1992. In 1995, he spent 6 months at the Transport Group in the Physics Department, University of Nottingham, UK, to gain experience in wide band gap semiconductor physics. He performed his diploma work at the research laboratories of the Daimler-Benz AG (now Daimler AG) on the electrical characterization of silicon carbide (6H-SiC) junction field effect transistors at high temperatures. During this time, he also investigated metal-oxide-semiconductor (MOSiC) based structures, such as gate controlled diodes, MOSFETs, and integrated circuits for harsh environment applications. He finished his studies in 1998 at the University of Frankfurt/Main, Germany. In 1999, he joined the research laboratories of DaimlerChrysler AG (now Airbus Group) in Ottobrunn/Munich, Germany. He developed a robust flow sensor for high-pressure automotive applications and received his Ph.D. degree in 2003 from the Technische Universität München, Germany. From 2003 to 2008, he was Post-doc at the Chair of Micromechanics, Microfluidics/Microactuators at Saarland University. Since October 2008, he is full professor for Microsystems Technology at TU Wien heading since the beginning of 2012 the Institute of Sensor and Actuator Systems. U. Schmid has authored or co-authored more than 300 peer-reviewed publications in journals and conferences and holds more than 40 different patent families.
Filippo Ubertini, born in 1982, is an Associate Professor of Structural Design at the Department of Civil and Environmental Engineering of University of Perugia, Italy, where he currently teaches "Advanced Structural Design". He graduated cum laude in Civil Engineering at University of Perugia in 2005 and received his Ph.D. degree in Civil Engineering from University of Pavia in 2009. He was visiting scholar at Columbia University in 2008 and has been invited to give talks in several leading international universities around the world. He is author of more than 100 scientific papers among which 50 in refereed international journals. He is currently member of the editorial boards of Shock and Vibration, Mathematical Problems in Engineering and Journal of Smart Cities. Aided by a group of young and motivated researchers, he is currently leading a research effort focusing on novel solutions for structural health monitoring, with emphasis on dynamic methods and system identification, smart structural materials (smart concretes and smart bricks) and applications to earthquake engineering and cultural heritage structures.
Dr. Ubertini's research has been funded at European and National levels and has been acknowledged through mentions in media and awards.
Conference Schedule
Notification of Acceptance: 5 October 2017
Proceedings Paper Submission Deadline: 21 October 2017
Conference Open: 15–30 November 2017
Conference Organizers
Dr. Stefano Mariani
Department of Civil and Environmental Engineering Politecnico di Milano, Italy
Editorial Board Member and Guest Editor of several
Special Issues of the Journal Sensors
Dr. Francesco Ciucci
The Hong Kong University of Science and Technology, Kowloon, Hong Kong
Dr. Dirk Lehmhus
ISIS Sensorial Materials Scientific Centre, University of Bremen, Bremen, Germany
Dr. Thomas B. Messervey
CEO and Co-Founder, Research to Market Solution s.r.l., Pavia, Italy
Dr. Alberto Vallan
Department of Electronics and Telecommunications Politecnico di Torino, Turin, Italy
Dr. Stefan Bosse
Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany
Scientific Advisory Committee
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Dr. Francesco Ciucci, The Hong Kong University of Science and Technology, Hong Kong
Dr. Dirk Lehmhus, ISIS Sensorial Materials Scientific Centre, University of Bremen, Germany
Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy
Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy
Dr. Stefan Bosse, Department of Mathematics and Computer Science, University of Bremen, Germany
Dr. Francisco Falcone, Universidad Publica de Navarra, Institute for Smart Cities—UPNA, Spain
Dr. Cinzia Caliendo, Institute of Photonics and Nanotechnology, IFN, National Research Council of Italy, CNR, Italy
Prof. Dr. Jamal Deen, Distinguished University Professor, Electrical and Computer Engineering Department,
McMaster University, Canada
Prof. Dr. Huangxian Ju, Department of Chemistry, Nanjing University, China
Prof. Dr. Spas D. Kolev, School of Chemistry, The University of Melbourne, Australia
Prof. Dr. Shinya Maenosono, School of Materials Science, Japan Advanced Institute of Science and Technology, Japan
Dr. Matteo Tonezzer, IMEM—CNR Institute of Materials for Electronics and Magnetism, Italian National Research Council, Italy
Prof. Dr. Juan A. Gomez-Pulido, Computer Architecture and Logic Design Group (ARCO), Department of Technologies of Computers and Communications, University of Extremadura, Spain
Prof. Dr. Maurizio Valle, Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture, University of Genova, Italy
Prof. Dr. Dusan Losic, School of Chemical Engineering, University of Adelaide, Australia
Dr. Peter J. Cragg, School of Pharmacy and Biomolecular Sciences, University of Brighton, UK
Conference SecretariatDr. Lily Sun
MDPI Branch Office, Beijing
E-Mail: [email protected]
Ms. Lin Li
MDPI Branch Office, Beijing
E-Mail: [email protected]
For information regarding sponsoring opportunities, please contact the conference secretariat.
List of Keynotes & Videos
Piezoelectric Microsystems: Material Aspects, Devices and Applications
A. Biosensors
Section Chair:
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Session Chair
Dr. Stefano Mariani, Politecnico di Milano
Show all published submissions (2) Hide published submissions (2)
Submissions
List of Papers (2) Toggle list
C. Physical Sensors
Section Chairs:
Dr. Dirk Lehmhus, ISIS Sensorial Materials Scientific Centre, University of Bremen, Germany
Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy
Session Chairs
Dr. Dirk Lehmhus, Fraunhofer IFAM
Professor Alberto Vallan, Politecnico di Torino
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D. Sensors networks
Section Chair:
Dr. Stefano Mariani, Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Session Chair
Dr. Stefano Mariani, Politecnico di Milano
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E. Applications
Section Chair:
Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy
Session Chair
Dr. Thomas Messervey
P. Posters
In this section, posters can be presented without an accompanying proceedings paper. Posters will be available online on this website during and after the e-conference. However, will not be added to the proceedings of the conference.
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S1. Smart Cities
Section Chair:
Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy
Sensors, sensor networks and the information they provide are the fundamental building block of smart cities and everything they have to offer toward improving the quality of life. This session encourages researchers worldwide to share their sensors and applications related to smart cities as we build the urban future of tomorrow. Topics are not limited to but could include submissions related to:
- Smart buildings and district heating/cooling
- Smart grids
- Smart water
- Environmental monitoring
- Transport, infrastructure & mobility
- Internet of Things (IoT) and protocols they operate within
- Sensors to empower citizens and improve quality of life
- Sensors to improve and make efficient public services and emergency services
Session Chair
Dr. Thomas Messervey
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S2. Smart Sensing Systems and Structures
Section Chairs:
Dr. Dirk Lehmhus, ISIS Sensorial Materials Scientific Centre, University of Bremen, Germany
Dr. Stefan Bosse, Department of Computer Science, Workgroup Robotics, University of Bremen, Bremen, Germany
Trends emerging in engineering and micro-system applications such as the development of sensorial materials show a growing demand for distributed autonomous computing in sensor networks consisting of miniaturized low-power smart sensors embedded in technical structures. A Sensor Network is composed of nodes capable of sensor processing and communication. Smart Systems are composed of more complex networks (and networks of networks) differing significantly in computational power and available resources. They provide higher level information processing that maps the raw sensor data to condensed information. They can provide, for example, Internet connectivity of perceptive systems (body area networks...). These smart systems unite the traditionally separated sensing, aggregation, and application levels, offering a more unified design approach and more generic and unified architectures. Smart systems glue software and hardware components to an extended operational unit.
Smart can be defined on different operational and processing levels and having different goals in mind. One aspect is the adaptivity and reliability in the presence of sensor, communication, node, and network failures that should not compromise the trust and quality of the computed information, for example, the output of a Structural Health Monitoring System (SHM). A Smart System can be considered on node, network, and network of network level. Another aspect of "smartness" is information processing with inaccurate or incomplete models (mechanical, technical, physical) requiring machine learning approaches, either supervised with training at design-time or unsupervised based on reward learning at run-time.
Growing system complexity requires an increase in autonomy of distributed data processing systems, addressed, for example, by the deployment of mobile multi-agent systems carrying and processing information. Self-organizing systems are one major approach to solve complex tasks by decomposing them into smaller and simpler task performed by a large group of individuals.
Smart "Functional" Structures extend classical perceptive systems with actuators responding to changes in the environment or load conditions in real-time, enabling Reactive Perceptive Systems.
Topics included but not limited to are:
- Software engineering for sensing applications and sensor clouds
- Data mining in sensing applications
- Autonomous computing systems
- Multi-agent systems and intelligent computing
- Machine learning supporting sensing applications
- Ubiquitous smart systems and applications
- Sensor cloud, cluster and grid computing
- Internet of Things
- Human-computer, human-sensing, and human-machine interaction
- Machine-to-Machine (M2M) networks
- Service-orientated information processing and computing
- Reliable and fault-tolerant system design and algorithms
- Platform design and architectures
- Active perceptive systems coupling sensing + actuation including robotic systems
Session Chairs
Dr. Dirk Lehmhus, Fraunhofer IFAM
Dr. Stefan Bosse, University of Bremen
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