3rd International Electronic Conference on Sensors and Applications

Part of the International Electronic Conference on Sensors and Applications series

Call for Papers

e-conferences, virtually anywhere. 3rd International Electronic Conference on Sensors and Applications

The 3rd International Electronic Conference on Sensors and Applications will be held from 15–30 November 2016 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-3.

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 and 7 specific sessions:

Biosensors (Section A)
Chemical Sensors (Section B)
Physical Sensors (Section C)
Sensor Networks (Section D)
Applications (Section E)
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.

The conference will be completely free of charge - both to attend, and for scholars to upload and present their latest work on the conference platform. There will also be a possibility to submit selected papers to the e-conference related Special Issue of the journal Sensors, with a 20% discount on the APC (ISSN 1424-8220; Impact Factor: 2.033 (2015); 5-Year Impact Factor: 2.437 (2015); www.mdpi.com/journal/sensors). ECSA-3 offers you the opportunity to participate in this international, scholarly conference without the concerns and expense of traveling - all you need is access to the Internet. We would like to invite you to "attend" this conference by presenting your latest work. You will be able to present your work in the form of your proceedings paper, optionally you may also contribute a (video) presentation.

Abstracts (in English) should be submitted by 5 October 2016 online at https://www.sciforum.net/login. For accepted abstracts, the full paper can be submitted by 10 November 2016. The conference itself will be held from 15–30 November 2016.

Paper Submission Guidelines

For information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": https://www.sciforum.net/conference/ecsa-3/page/instructions.

Conference Chairs

Stefano Mariani

Politecnico di Milano

Francesco Ciucci

Dirk Lehmhus

Fraunhofer IFAM

Thomas Messervey

[Not defined]

Alberto Vallan

Politecnico di Torino

Stefan Bosse

University of Bremen

Sessions

A. Biosensors
B. Chemical Sensors
C. Physical Sensors
D. Sensors Networks
E. Applications
P. Posters
S1. MEMS and NEMS
S2. Smart Systems and Structures
S3. Fiber Optic Sensors
S4. Factories of the Future
S5. Sensing Technologies for Water Resource Management
S6. Sensors for the Monitoring of the Low Voltage Distribution Network and Transition to the Smart Grid
S7. Foreword

Instructions for Authors

Submission

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 5 October 2016.
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 3rd International Electronic Conference on Sensors and Applications. All authors will be notified by 10 October 2016 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 10 November 2016.
The conference proceedings papers and presentations will be available on sciforum.net/conference/ecsa-3 for discussion during the time of the conference 15-30 November 2016.
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...).

Proceedings Paper

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.

Presentation Slides
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.

Video Presentations
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 – ecsa@mdpi.com 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 of Manuscripts

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.

3nd Electronic Conference on Sensors and Applications Microsoft Word template file and LaTex template file

Manuscript Preparation

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.

Potential Conflicts of Interest

It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section.

MDPI 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 (45)

Id	Title	Authors	Poster PDF
sciforum-008610	An FPGA Platform Proposal for real-time Acoustic Event Detection: Optimum platform implementation for audio recognition with time restrictions Marcos Hervás , Rosa Ma Alsina-Pagès Submitted: 06 Sep 2016 Abstract: Show Abstract	Marcos Hervás , Rosa Ma Alsina-Pagès		Show Abstract
Nowadays, monitoring of people and events is a common matter in the street, in the industry or at home, and acoustic event detection is commonly used. This increases the knowledge of what is happening in the soundscape, and this information encourages any monitoring system to take decisions depending on the measured events. Our research in this field includes, on one hand, smart city applications, which aim is to develop a low cost sensor network for real time noise mapping in the cities, and on the other hand, ambient assisted living applications through audio event recognition at home. This requires acoustic signal processing for event recognition, which is a challenging problem applying feature extraction techniques and machine learning methods. Furthermore, when the techniques come closer to implementation, a complete study of the most suitable platform is needed, taking into account computational complexity of the algorithms and commercial platforms price. In this work, the comparative study of several platforms serving to implement this sensing application is detailed. An FPGA platform is chosen as the optimum proposal considering the application requirements and taking into account time restrictions of the signal processing algorithms. Furthermore, we describe the first approach to the real-time implementation of the feature extraction algorithm on the chosen platform.
sciforum-008660	Analysis of Bluetooth-based Wireless Sensor Networks Performance in Hospital Environments Peio Lopez Iturri , Santiago Led , Erik Aguirre , Leyre Azpilicueta , Luis Serrano , Francisco Falcone Submitted: 09 Sep 2016 Abstract: Show Abstract	Peio Lopez Iturri , Santiago Led , Erik Aguirre , Leyre Azpilicueta , Luis Serrano , Francisco Falcone	N/A	Show Abstract
In this work, the performance of Bluetooth-based Wireless Sensor Networks (WSN) deployed within hospital environments is analyzed. Due to the complexity that this kind of scenarios exhibit in terms of radio propagation and coexistence with other wireless communication systems and radiant elements such as magnetic resonances and other electric appliances, the deployment of WSNs becomes a complex task which requires an in-depth radio planning analysis. For that purpose, measurements within real scenarios as well as simulation results obtained by the aim of an in-house developed 3D Ray Launching method are presented. The analyzed scenarios are located at the Hospital Complex of Navarre (HCN), in the city of Pamplona. As hospitals have a wide variety of scenarios, the analysis has been carried out in different zones such as the Emergency room of the HCN, where the interferences are expected to have a low impact since it is a kind of waiting room, and operating rooms area, where the patient security is a major issue and it can be a harsh environment in terms of interference and coexistence with other wireless equipment. The obtained simulation results have been validated with the measurements, and they show how Bluetooth-based WSNs behave within hospital environments in terms of coverage, Signal to Noise Ratio and capacity. Therefore, the presented analysis can aid in obtaining the optimal network configuration and performance of the Bluetooth-based WSNs, making them attractive for the developing of applications for hospital environments.
sciforum-008736	High frequency inductive energy harverster for the maintenance of electric assets Guillermo Robles , Javier Molina Submitted: 14 Sep 2016 Abstract: Show Abstract	Guillermo Robles , Javier Molina	N/A	Show Abstract
Extracting tiny amounts of energy from non-conventional sources using Peltier cells, piezoelectrics, antennas or inductive probes has become very popular in recent years to power low-consuming sensors in IoT applications and smart grids. These energy harvesting methods rely on the continuous generation of small quantities of electrical energy scavenged from heat, vibration or electromagnetic emissions. This energy is stored in batteries or capacitors reaching low-voltage levels that cannot be used directly to power any device. In general, the voltage is boosted to more appropriate levels with a converter. Using inductive sensors to harvest energy from electrical power lines is common knowledge. Obtaining this energy from high-power low-frequency signals is currently possible and, in some cases, reliable and profitable. The aim of this paper is to evaluate the possibility of harvesting energy from extremely low-power and high-frequency events that occur in electrical assets when the insulation is damaged. These events, called partial discharges, are used in electrical maintenance to detect possible defects in the insulation. Evaluating partial discharge activity is a common protocol in all utilities that requires the use of expensive sensors and acquisition systems, and in most occasions, decommissioning the asset to connect the measuring system. The energy from these phenomena is stored in capacitors and the use of a high-frequency voltage multiplier allows to reach voltages close to 1 V. This voltage is proportional to the number of partial discharges in a certain time span. Therefore, if the number of partial discharges per time-unit has increased noticeably, the insulation has deteriorated and the asset should be decommissioned to evaluate the damages. The paper tests the possibility of using this method as an early-warning system in the maintenance of electrical assets.
sciforum-008753	Automatic detection of fractures during tensile testing using vibroacoustic sensors Joao Pimentel , Rolf Klemm , Münip Dalgic , Andree Irretier , Karl-Ludwig Krieger Submitted: 15 Sep 2016 Abstract: Show Abstract	Joao Pimentel , Rolf Klemm , Münip Dalgic , Andree Irretier , Karl-Ludwig Krieger		Show Abstract
The detection of structure-borne sound can be used to monitor the structural health of solid structures and machine parts. One way to achieve such an implementation is to place vibroacoustic sensors in contact with the structure. The sensors will typically generate an electric signal in response to the acoustic emissions caused by specific events, such as fractures in the structure. In this paper, vibroacoustic sensors were used to detect structure-borne sound during static tensile testing of metallic samples until complete fracture. The samples used were sections of longitudinal beams made out S700 MC steel. Two different types of piezoelectric sensors were used: PVDF film sensors glued to the sample, and ceramic sensors attached to the sample with a magnet adapter. The bandwidth of the signals was expected from previous studies to be of up to 2 MHz. Simultaneously, force and displacement were measured at the testing machine. An algorithm was written to process the data acquired from the piezo elements and automatically detect relevant events via a simple comparison with a pre-defined voltage threshold to detect signals above the background noise level. The comparison of the detected events with the force measurements from the tensile test showed a very strong correlation between actual fractures (both the initial fracture and its posterior propagation) and the automatic classification carried out by the algorithm. Thus, the vibroacoustic sensor could with little calibration substitute the other standard measurement systems.
sciforum-008767	Iterative Learning for Human Activity Recognition from Wearable Sensor Data Juan Davila , Ana-Maria Cretu , Marek Zaremba Submitted: 15 Sep 2016 Abstract: Show Abstract	Juan Davila , Ana-Maria Cretu , Marek Zaremba		Show Abstract
Wearable sensor technologies are a key component in the design of applications for human activity recognition, in areas like healthcare, sports and safety. We present an iterative learning framework to classify human locomotion activities (e.g. walk, stand, lie and sit) extracted from the Opportunity dataset by implementing a data-driven architecture. Data collected by 12 3D acceleration sensors and 7 inertial measurement units are de-noised using a wavelet filter, prior to the extraction of features such as roll, pitch, yaw, single magnitude vector and the principal components (PCA-2D). Our intention is to combine these features pairwise, in order to extract the best candidates for building the training dataset. This iterative process is based on the Euclidean distances between each class member and the centroid of the corresponding cluster. The resulting dataset is used to identify the best learning parameters for a SVM multi-classifier that produces the lowest prediction error. The methodology presented in this paper produced a model accuracy of over 86% for activity classification, exceeding the values reported in other studies, while using a much lower number of training samples and being more robust to variations in the quality of input data.

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Current developments show that in the near future the wide availability of low cost, short range radio technology, along with advances in wireless networking, will enable wireless adhoc sensor networks to become commonly deployed. In these networks, each node may be equipped with a variety of sensors, such as acoustic, seismic, infrared, motion, biomedical and chemical sensors with higher level of information inference associated with identification, embedded signal processing and networking of the data. This conference intends to be the meeting point of researchers and practitioners to share experiences and ideas on innovative developments in any aspect of sensor networks, including Hardware of Sensor Networks, Wireless Communication Protocols, Sensor Networks Software and Architectures, Wireless Information Networks, Data Manipulation, Signal Processing, Localization and Object Tracking through Sensor Networks, Obstacles, Applications and Uses. http://sensornets.org/.

Keynote Speakers

Mohammad I. Younis received a Ph.D. degree in engineering mechanics from Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, in 2004. He is currently an Associate Professor of Mechanical Engineering at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, and the State University of New York (SUNY), Binghamton, NY, USA. He serves as the Director of the MEMS and NEMS Characterization and Motion Laboratory. Dr. Younis is a recipient of the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2012, the National Science Foundation Faculty Early Career Development Award in 2009, and the Paul E. Torgersen Graduate Research Excellence Award in 2002. He holds several U.S. patents in MEMS sensors and actuators. He serves as an Associate Editor of Nonlinear Dynamics, the Journal of Computational and Nonlinear Dynamics, and the Journal of Vibration and Control. He has authored the book entitled MEMS Linear and Nonlinear Statics and Dynamics (Springer, 2011). He has authored more than ninety archival journal papers, all on the fields of MEMS and NEMS. He is a member of the American Society of Mechanical Engineers.

Francisco Falcone (M05, SM09) received his Telecommunications Engineering Degree (1999) and PhD in Communications Engineering (2005), both at the Universidad Pública de Navarra (UPNA) in Spain. From 1999 to 2000 he worked as Microwave Commissioning Engineer at Siemens-Italtel. From 2000 to 2008 he worked as Radio Network Engineer in Telefónica Móviles. In 2009 he co-founded Tafco Metawireless, a spin off devoted to complex EM analysis. 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. He has over 280 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.

Conference Schedule

Conference Open: 15-30 November 2016
Abstract Submission: 5 October 2016
Notification of Acceptance: 10 October 2016
Proceedings Paper Submission Deadline: 10 November 2016

Conference Organizers

Chairs of the 3rd International Electronic Conference on Sensors and Applications

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, 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, UPNA, Spain

Dr. Cinzia Caliendo, Institute of Photonics and Nanotechnology, IFN, National Research Council of Italy, CNR, Italy

Prof. Dr. Caterina Ciminelli, Optoelectronics Laboratory, Politecnico di Bari, Italy

Dr. Peter Cragg, School of Pharmacy and Biomolecular Sciences, University of Brighton, UK

Prof. Dr. Jamal Deen, Electrical and Computer Engineering, McMaster University, Canada

Dr. Ye Fang, Biochemical Technologies, Science and Technology Division, Corning Incorporated, USA

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. Vinod Gupta, FWIF, FNASc., Department of Chemistry, Indian Institute of Technology Roorkee, India

Prof. Dr. Dusan Losic, School of Chemical Engineering, University of Adelaide, Australia

Prof. Dr. Huangxian Ju, Department of Chemistry, Nanjing University, China

Prof. Dr. Spas 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. Kwang W. Oh, SMALLab (Sensors and Microactuators Learning Lab), Department of Electrical Engineering, University at Buffalo, USA

Dr. Roberto Pilloton, 1st Researcher at CNR Institute for Atmospheric Pollution CNR, Italy

Dr. Matteo Tonezzer, IMEM - CNR Institute of Materials for Electronics and Magnetism – Italian National Research Council, Italy

Prof. Dr. Maurizio Valle, Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture, University of Genova, Italy

Conference Secretariat

Mr. Harry Fu
MDPI Branch Office, Wuhan
E-Mail: ecsa@mdpi.com

Ms. Lin Li
MDPI Branch Office, Beijing
E-Mail: ecsa@mdpi.com

Sponsoring Opportunities

For information regarding sponsoring opportunities, please contact the conference secretariat.

List of Keynotes & Videos

On the use of PZT-patches as exciters in Modal Analysis: Application to submerged structures

Intelligent Robot Guidance in Fixed External Camera Network for Navigation in Crowded and Narrow Passages

Download this video

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

The MEMS and NEMS Section is aimed at gathering together contributions on the modelling and analysis of Micro-Electro-Mechanical-Systems (MEMS) and Nano-Electro-Mechanical-Systems (NEMS), and on their real-life applications. Works on the theoretical, numerical and experimental aspects are solicited, especially those stemming from multi-disciplinary approaches.

Contributions are welcome to address the following topics:

Multi-physics modeling
Uncertainty quantification at the micro- and nano-scale
System identification and control
Sensor optimization
Damping phenomena
Stiction and other contact or proximity phenomena
Effect of emerging materials, like graphene

Applications to be considered include, but are not limited to:

Inertial sensors
Physical sensors
Chemical sensors
RF switches
Micromirrors
Energy harvesters

Session Chair

Dr. Stefano Mariani, Politecnico di Milano

Show all published submissions (1) Hide published submissions (1)

Submissions

List of Papers (1) Toggle list

S2. Smart 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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Submissions

List of Papers (5) Toggle list

S3. Fiber Optic Sensors

Dr. Alberto Vallan, Department of Electronics and Telecommunications, Politecnico di Torino, Italy

This session is focused on Fiber Optic Sensors (FOS) and related applications. In the sensor market, FOS represent a relevant portion which is rapidly growing thanks to the availability of new optical and electro-optical devices characterized by a low-cost, a reduced power consumption and small dimensions. Session topics concern all the aspects related to the use of optical fibers in the sensor field, such as the development and testing of intrinsic sensors, the usage of fibers for extrinsic sensors or to power non-optical sensing devices, and also original fiber sensor applications and in-field results.

S4. Factories of the Future

Section Chairs:
Dr. Dirk Lehmhus, ISIS Sensorial Materials Scientific Centre, University of Bremen, Germany

Today, production technology is going through a transformation toward increasingly autonomous manufacturing systems and environments. This change is sometimes seen as being fundamental enough to designate it as the fourth industrial revolution captured in the term “Industry 4.0” first coined in Germany, where mechanization, mass production and computerization are considered the three preceding landmark transformations.

In Industry 4.0, factories will increasingly decide autonomously on aspects like production process parameters, process sequences, production logistics etc. In order to be able to do so, these factories will need large amounts of data, from which the information needed in decision-making has to be derived without or with limited intervention of human beings. In parallel, new (or improved) manufacturing capabilities such as flexible manufacturing, mass customization and additive manufacturing bring new possibilities in terms of how products are made.

The present session invites papers to respond to the data driven demands of this next industrial revolution through the implementation of appropriate sensor systems through all phases of the product life-cycle. Results from ongoing or past European Factories of the Future projects and like research programs worldwide are welcome. Possible topics include:

Development of new sensors for the monitoring of production processes
Enabling KPI assessment and use via cost effective sensors and meters
Application of sensor systems in production engineering on various levels, from the individual sensorized tool to heavily sensor-based, fully automated production systems and facilities
Sensor data evaluation methods tailored for or transferred to applications in production engineering
Workpiece-based monitoring of production processes, i.e. use of product-integrated sensors to provide feedback to production equipment
Use of product-integrated sensors for feedback of life cycle data into the product (re) design phase to enable continuous improvement of products, including concrete examples of implementation of such feedback loops both on conceptual and realization level

Given this scope, the session has links to almost all sections of the conference, the common denominator being the fact that the presentations should target advanced manufacturing as application scenario.

Session Chair

Dr. Dirk Lehmhus, Fraunhofer IFAM

S5. Sensing Technologies for Water Resource Management

Section Chair:
Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy

The USA documents 237,600 water line breaks each year costing €2.8 billion annually. Normal water leakage instead runs at 7 billion gallons per day (http://www.waterworld.com/articles/print/volume-30/issue-7/editorial-features/patching-up-the-pipes-how-smart-technologies-help-cities-prevent-leaks-and-save-money.html). Globally, 750 million people (1 in 9 people) lack access to safe water (www.water.org). Indeed, most persons would likely be surprised that the water crisis is the #1 global risk based on impact to society (as a measure of devastation), and the #8 global risk based on likelihood (likelihood of occurring within 10 years) as announced by the World Economic Forum, January 2015 (http://reports.weforum.org/global-risks-2015/#frame/20ad6).

The need for water resource management stands at the intersection of several global challenges and cross-cutting themes which include climate change, aging national infrastructure, increased population and urbanization, and government, corporate and individual responsibilities toward the environment and sustainability. Amongst the range of possible solutions to answer the need for better water resource management is ICT (information communication technologies) in the form of sensors, smart meters, and the analytical platforms and software they make possible through the data they provide. In many cases, knowledge transfer and lessons learned can be taken from the energy and gas markets where work started earlier. It is also noteworthy the correlations between energy auditing and water auditing, carbon footprint assessment and water footprint assessment. Water (as a resource) is a next logical extension of ISO50001 (Energy Management Systems) principles.

Session G invites researchers and industrials working in the area of water sensing technologies for water resource management to present their work. A special invitation is extended to the platform www.ict4water.eu which clusters 10 research projects co-funded by the European Union on this topic area. A special invitation is also extended to industrials with new innovative solutions coming to the market. As the problem is global, papers are encouraged from all parts of the world.

Session Chair

Dr. Thomas Messervey

Show all published submissions (2) and accepted abstracts (1)

Submissions

List of Papers (2) Toggle list

List of Accepted Abstracts (1) Toggle list

S6. Sensors for the Monitoring of the Low Voltage Distribution Network and Transition to the Smart Grid

Dr. Thomas B. Messervey, CEO and Co-Founder, Research to Market Solution s.r.l., Italy

3rd International Electronic Conference on Sensors and Applications

Part of the International Electronic Conference on Sensors and Applications series

15–30 Nov 2016

Call for Papers

Conference Chairs

Sessions

Instructions for Authors

List of accepted submissions (45)

Sponsors and Partners

Organizers

Media Partners

Partner Events

Keynote Speakers

Conference Schedule

Conference Organizers

List of Keynotes & Videos

On the use of PZT-patches as exciters in Modal Analysis: Application to submerged structures

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