The 4th International Electronic Conference on Applied Sciences
Part of the International Electronic Conference on Applied Sciences series
27 Oct–10 Nov 2023
Biosciences, Artificial Intelligence, Mechanical Engineering, Nanotechnology, Civil Engineering, Energy and Environment, Dentistry, Food Sciences, Chemistry and Materials
- Go to the Sessions
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- A. Applied Biosciences and Bioengineering
- B. Nanosciences, Chemistry and Materials Science
- C. Computing and Artificial Intelligence
- D. Electrical, Electronics and Communications Engineering
- E. Mechanical and Aerospace Engineering
- F. Energy, Environmental and Earth Science
- G. Food Science and Technology
- H. Applied Physical Science
- I. A Student Session
- J. Poster Session
- Event Details
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- Winner Announcement
- Welcome from the Chair
- Live Session Registration
- Live Session Programs
- Live Session Recordings
- Event Speakers
- Event Chairs
- Sessions
- Instructions for Authors
- List of Accepted Submissions
- Event Awards
- Poster Gallery
- Conference Secretariat
- Sponsors and Partners
- Events in series ASEC
Winner Announcement
On behalf of the chairs of ASEC 2023, we are pleased to announce the winners of the Best Contribution Awards and Best Student Award.
The Best Contribution Awards have been awarded to:
-Sciforum-080459, One-step synthesis of robust 2D Ti3C2-MXene/AuNPs nanocomposite by electrostatic self-assembly for (bio)sensing. Ayesha Zaheer, T. D’Aponte, Z.U. D Babar, R. Velotta, B. Della Ventura, V. Iannotti.
-Sciforum-076202, Homogeneous vs heterogeneous photo-Fenton processes in the treatment of winery wastewater . Nuno Filipe Alves Jorge, Ana Rita Teixeira, Sérgio Silva, António Pirra, José Alcides Peres, Marco Sousa Lucas.
The Best Student Award has been awarded to:
-Sciforum-076097, Effects of copper substitution in methylammonium-based perovskite solar cells. Riku Okumura, Takeo Oku, Atsushi Suzuki, Sakiko Fukunishi, Tomoharu Tachikawa, Tomoya Hasegawa.
Welcome from the Chair
We are pleased to announce the 4th International Electronic Conference on Applied Sciences. This international conference, supported by the journal Applied Sciences (ISSN: 2076-3417), will bring together scientists from different areas to discuss important recent developments in a number of fields. It represents an opportunity to gather an interdisciplinary community to discuss applied sciences. More specifically, after the success of the first three editions, this year’s edition will focus on 10 thematic areas of applied nature sciences:
A. Applied Biosciences and Bioengineering
B. Nanosciences, Chemistry and Materials Science
C. Computing and Artificial Intelligence
D. Electrical, Electronics and Communications Engineering
E. Mechanical and Aerospace Engineering
F. Energy, Environmental and Earth Science
G. Food Science and Technology
H. Applied Physical Science
I. A Student Session
J. Poster Session
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 take place entirely online, allowing participation from all over the world with no concerns regarding travel and related expenditures. An electronic conference provides a platform for rapid and direct exchanges about the latest research findings and novel ideas. Participation, as well as "attendance" of this online conference, is free of charge.
The 4th International Electronic Conference on Applied Sciences is sponsored by MDPI and the scientific journal Applied Sciences. The conference proceedings papers and presentations will be available on ASEC2023.sciforum.net for discussion during 27 October–10 November 2023 and will be published in the journal Engineering Proceedings (SCOPUS Indexed; ISSN: 2673-4591).
Extended and expanded versions of conference proceedings papers can be submitted to a Special Issue in the journal Applied Sciences after the conference, with a 20% discount on the article processing charges.
The Chair of the 4th International Electronic Conference on Applied Sciences.
Prof. Dr. Nunzio Cennamo Professor of Electronics at University of Campania Luigi Vanvitelli (Naples), Italy |
Prof. Dr. Nunzio Cennamo was born in Italy in 1975. He received the master's degree in electronic engineering in 2002 and the Ph.D. degree in electronic engineering in 2005, both from the Second University of Naples, Naples, Italy. He is Professor of Electronics at 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 a co-founder of the Spin-Off "MORESENSE srl" in Milan - Italy. He is an Associate Editor of “Photonics Research” (OPTICA) and of “Applied Sciences“ (MDPI). He is an invited speaker at several international conferences. 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 editions of the International Electronic Conference on Applied Sciences (ASEC, 2021, 2022, and 2023). |
Live Session Registration
The live session is FREE to participate. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
ASEC 2023 | Live Session 1
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ASEC 2023 | Live Session 2
Date: 31 October 2023 |
ASEC 2023 | Live Session 3
Date: 8 November 2023 |
ASEC 2023 | Live Session 4
Date: 9 November 2023 |
Once you have participated, you can log in to Sciforum using your registration email and easily download your Certificate of Attend after the conference.
Live Session Programs
Live Session 1
30 October 2023
Time: 14:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Francesca Petronella |
Welcome Speech |
14:00-14:05 |
Fabio Scatiggio |
Sustainable natural liquids for electrical equipment |
14:05-14:20 |
Maria de Fátima Domingues |
Photonic based sensors for biomedical applications |
14:20-14:35 |
Raffaele Solimene |
Microwave radar imaging as a tool for medical diagnostics |
14:35-14:50 |
Nélia Alberto |
Optical fiber sensors for muscle effort and pressure monitoring in wheelchair users |
14:50-14:05 |
Cataldo De Blasio |
Challenges within Gasification and Hydrothermal Systems |
15:05-15:20 |
Yogendra Kumar Prajapati |
Photonic spin Hall effect and its application on sensing |
15:20-15:35 |
Q&A |
15:35-15:45 |
Live Session 2
31 October 2023
Time: 9:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Ciro Natale |
Welcome Speech |
9:00-9:05 |
Ignacio Del Villar |
Multiparameter sensing with lossy mode resonance based optical sensors in planar configuration |
9:05-9:20 |
Flavio Esposito |
Optical sensors based on double cladding fiber |
9:20-9:35 |
Girolamo D’Agostino |
MIP based sensors for various applications |
9:35-9:50 |
Aldo Minardo |
Brillouin scattering in specialty fibers for physical and chemical sensing |
9:50-10:05 |
Yosuke Mizuno |
Exploring the fundamentals and applications of plastic optical fiber fuse |
10:05-10:20 |
Pedro Jorge |
LIBS as a fit for purpose industrial tool: from mining to the cork industry |
10:20-10:35 |
Q&A |
10:35-10:45 |
Live Session 3
8 November 2023
Time: 9:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Marco Consales |
Welcome Speech |
9:00-9:05 |
Paola Saccomandi |
Fiber optic sensors for monitoring thermal treatments of tumors |
9:05-9:20 |
Agnese Coscetta |
Dynamic strain measurenents by distributed optical fiber sensors |
9:20-9:35 |
Luigi Guida |
Point-Of-Care Tests for the detection of salivary inflammatory biomarkers in Dentistry |
9:35-9:50 |
Aliya Bekmurzayeva |
Label-free optical fiber biosensors for cancer biomarker detection: recent advances and challenges |
9:50-10:05 |
Magdalena Sycińska-Dziarnowska |
The Application and Use of Silver-Based Biomaterials in Dentistry, Possibilities and Limitations |
10:05-10:20 |
Simone Berneschi |
Strategies and perspectives in fast sepsis diagnoses by the use of fluorescence-based POCT devices |
10:20-10:35 |
Q&A |
10:35-10:45 |
Live Session 4
9 November 2023
Time: 14:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Luciano de Sio |
Welcome Speech |
14:00-14:05 |
Rogério Nogueira |
Liquid monitoring with fiber optical sensors |
14:05-14:20 |
Alessandro Formisano
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Data-Based approaches for optimal design and inverse problems in electromagnetism |
14:20-14:35 |
V V Raghavendra Sai
|
Metal organic frameworks (MOF) based Fiber optic sensors for food safety and environmental monitoring |
14:35-14:50 |
Debora Bencivenga |
Molecular sensing from cell biology to diagnostics |
14:50-14:05 |
Giulia Acconcia |
High-efficiency detection, high-speed counting and picosecond-precision time-tagging of single photons |
15:05-15:20 |
Maria Principe |
Optical fiber meta-tips for wavefront manipulation |
15:20-15:35 |
Q&A |
15:35-15:45 |
Live Session Recordings
Invited Speakers
Department of Engineering, University of Campania Luigi Vanvitelli, Italy
distributed optical fiber sensors; structural health monitoring; polymer optical fiber sensors
Department of Engineering, University Della Campania “Luigi Vanvitelli”, Italy
numerical computation of electromagnetic fields; inverse problems in low-frequency electromagnetism; thermonuclear fusion; superconducting magnets
Department of Physics and Astronomy, Faculty of Sciences, University of Porto, Portugal,
Centre for Applied Photonics, INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, Portugal
Pedro Jorge is s PhD in Physics from Porto University (2006). He is a Senior Researcher at INESC TEC and an Assistant Professor (since 2019) at the Physics and Astronomy Department of the Faculty of Sciences of the University of Porto. Since 2007 Pedro Jorge leads the Biochemical Sensor group at INESC TEC, exploring the potential of photonic technologies in the development of new solutions for chemical and biological monitoring in environmental, biomedical and industrial applications. This activity is framed in a diversity of competitive national and International research projects with academia and Industry, where he acts as Principal Investigator, workpackage leader or regular team member, supervising also the training of advanced human resources at PhD and Msc level. Photonics technologies such as optical fiber sensors, interferometry, fluorescence spectroscopy, optical trapping and Laser Induced Breakdown spectroscopy are being explored in a diversity of applications ranging from systems for real time evaluation of minerals in underwater mining, to the determination of dCO2 in Aquaculture tanks, manipulation, and diagnostic of single cells. Since 1998 Pedro Jorge co-authored more than 100 peer-reviewed papers, 3 book chapters and more than 200 communications in international and national conferences in the field of optical sensors. He is the author of 2 patents, and four Patent pending (EP). In total, these publications have attracted 3982 citations according to Google Scholar (user: P. A. S. Jorge) with, h-index of 34.
optical chemical and biological sensors; optical fiber sensors; optical tweezers; laser induced breakdown spectroscopy
Politecnico di Milano, Department of Mechanical Engineering, Milan, Italy
Fiber optic sensors for monitoring thermal treatments of tumors
Paola Saccomandi obtained the PhD in Biomedical Engineering in 2014 from Università Campus Bio-Medico di Roma. Currently, she is Associate Professor at the Department of Mechanical Engineering of Politecnico di Milano. In 2021 she obtained the National Academic Qualification as Full Professor (Measurements). Currently, she is the PI of 2 European Research Council (ERC) projects and 2 national grants, supervisor of 1 Marie Skłodowska-Curie Actions (MSCA) postdoctoral fellowship, and task leader of other 4 national grants. Since 2016 she had the scientific responsibility of 8 research projects for>2.5M€. She is: Section Board Member for Sensors MDPI; Associate Editor for Journal of Circuits, Systems, and Computers; reviewer for 4+ international research foundations. She has been invited lecturer in many leading Institutions, including Technion (Israel), Politecnico di Torino, Sungkyunkwan University (South Korea). Presently, Paola is the Chair of the IEEE EMBS Technical Community on Therapeutic Systems & Technologies, and the vice-chair of IEEE Women in Engineering (WIE)-Italy Affinity Group. In 2018, she was co-founder and officer of the IEEE Italy Sensors Chapter. She is IEEE senior member, member of IEEE Women in Sensors and SPIE. She served as Technical Program Chair for IEEE MetroInd4.0&IoT 2020 and 2021, and MeMeA 2021. She was recipient of several awards, including Premio Italia Giovane. She co-authored more than 200 papers and books, with over 4080 citations and h-index of 34 (Google Scholar). She is now the Head of Laboratory of Measurements for Biomedical Applications (10+ members), working on the development of light-based approaches for hyperthermal tumor treatment and monitoring, quasi-distributed and distributed fiber optic sensors and imaging (magnetic resonance and hyperspectral imaging).
fiber optic sensors for biomedical applications; measurements; laser-tissue interaction; magnetic resonance imaging; thermal imaging; hyperspectral imaging; monitoring physiological and thermal quantities
Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, Italy
Point-Of-Care Tests for the detection of salivary inflammatory biomarkers in Dentistry
Prof. Dr. Luigi Guida graduated with honors in Medicine and Surgery in 1979, and he specialized in Odontostomatology in 1982, both at the University “Federico II” of Naples. He is full Professor of the Dentistry School and Head of the Periodontology and Implantology Unit at the University of Campania "Luigi Vanvitelli". His research interests include point of care detection of inflammatory biomarkers for the diagnosis of periodontitis, innovative protocols in periodontology and implantology, in vitro studies on periodontal cells and human mesenchymal stem cells, implant surfaces, periodontal tissue regeneration. He is member of the Cultural Commission of the Italian Academy of Osseointegration (IAO), previously named the Italian Society of Osseointegrated Implantology (SIO), of which he was President for the biennium 2013-14. He has won many awards for research activities on topics of Periodontology and Implantology. He is the author of numerous scientific publications in international journals, and he is an invited speaker at several national and international conferences.
salivary diagnostics; biomarkers; inflammation; periodontitis
Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, India
Photonic spin Hall effect and its application on sensing
Yogendra Kumar Prajapati received the Ph.D. degree from the Electronics Engineering Department, Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India, in 2010. He is currently an Associate Professor at the Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India. Dr. Yogendra has made significant contributions to both experimental and theoretical research in plasmonics and fiber sensors. He has completed several R&D projects sponsored by government funding bodies such as DST, BRNS, INUP, etc. He has published 122 Science Citation Index research papers, four published Indian patents, and 45 proceedings of conferences. He is a recipient of the Sir Visvesvaraya Young Faculty Research Fellowship Award 2016, Ministry of Electronics and Information Technology, New Delhi, India, and the Young Scientist Award by DST, SERB, New Delhi, in 2014. Also, Dr. Yogendra was a recipient of a Teacher Fellowship from Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, in 2007. He is a senior member of IEEE and Optica, as well as a member of the Society of Photo-Optical Instrumentation Engineers (SPIE). Additionally, he is an Associate Editor, IEEE Access and Frontiers in Physics-Optics & Photonics, and a reviewer for the Optical Society of America, IEEE, IOP Journals, Elsevier, and Springer, among others. Webpage: http://mnnit.ac.in/profile/yogendrapra
Photonic spin Hall effect; weak measurement technique; polarization, sensor
Department of Engineering, University of Naples “Parthenope” Centro Direzionale Isola C4, Italy
Optical sensors based on double cladding fiber
Flavio Esposito received his MSc in Electronic Engineering from the University of Naples “Federico II” and PhD in Information Engineering from the University of Naples “Parthenope”, Naples, Italy. He is currently Assistant Professor of Electronics with the Department of Engineering of the University of Naples “Parthenope”. His research activity is focused on the design, simulation, fabrication, and characterization of fiber optic sensors for physical, chemical, and biological applications.
chemical sensors; biosensors; physical sensors; fiber-optic sensors; fiber gratings; long period gratings; fiber Bragg gratings; fabrication of long period gratings (LPG) in specialty optical fibers; investigation of fiber optic sensors under different io
Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
Molecular sensing from cell biology to diagnostics
Debora Bencivenga (DB) got her Degree in Biological Sciences in 2005 (Federico II University, Naples). She obtained the PhD in Cellular Biochemistry in 2009 at the Second University of Naples, and a Specialty School in Clinical Biochemistry in 2011. Since 2018, she is Researcher of Biochemistry at University of Campania “L. Vanvitelli”. She has obtained the National Scientific Qualification to the functions of Associate Professor for the Sector 05/E1 General Biochemistry. AB teaches Biochemistry at the Degree Course in Medicine and Surgery, based in Naples, at the Degree Courses in Nursing (English Language) and Physiotherapy. Further teaching assignments (Nutritional Science) are carried out in Degree Courses for Health Professionals. She has guided numerous PhD candidates in their research in the Biochemical and Biotechnological Sciences PhD Course (Vanvitelli). Reviewer and/or Editorial Board Member for international journals, such as CELLS, MDPI (IF: 7.7), Frontiers in Endocrinology and Scientific Reports. Guest Editor for special issues in Cells. DB scientific interests fall in the field of basic biochemistry, cellular and molecular biology and rely on several collaborations for effective integration of clinical, molecular and translational researches. The results of DB research have been published about 30 research articles in high-impact journals such as New England Journal of Medicine, Journal of Biological Chemistry, Cancer Research, American journal of hematology, Oncogene, Molecular Oncology, Carcinogenesis, Cancer letters, Free Radic Biol Med, Talanta, and others. Total IF: 353.276; average IF/paper: 12.617; total number of citations: 612, H-index: 15 (Scopus).
Biosensing, cilium, cell cycle, inflammation, surface plasmon resonance
Instituto de Telecomunicações, Campus Universitário de Santiago, University of Aveiro, Portugal
microwave photonics, optics communications systems; optical sensors (fiber sensors); biodevices; fiber optical components
Sustainable natural liquids for electrical equipment
Fabio Scatiggio was born in Venezia, Italy, in 1957. After the graduation in chemistry, he was with ENEL and then with Terna Rete Italia as Chemical Laboratory Manager. Currently he is with A&A Fratelli Parodi as senior advisor on liquids for electrical applications. He is the Chairman of CT10 (fluids for electrotechnical applications) of the Italian Electrotechnical Committee (CEI). He is member of many IEC TC10 working groups and convener of PT62975 (in-service natural esters). He is also full member in CIGRE SC-A2 (transformers) and SC-D1 (emerging materials) and chair of JWG D1/A2.77 (liquid test on electrical equipment) He is also Senior Member and Reviewing Author for IEEE, and member of ASTM D27 Committee. Mr. Scatiggio has published many scientific papers with focus on transformers diagnosis by DGA, on problems related with presence of corrosive sulphur in oil, on transformers’ Health Index, on Natural Insulating Esters, on new optical sensors for on-line monitoring, on PCB decontamination techniques, etc. Mr. Scatiggio received the “IEC Award 1906” in 2008 and was awarded as “CIGRE Distinguished Member” in 2012.
MIP based sensors for various applications
PhD in chemistry from the University of Pavia (Italy) Head of R&D activities of Moresense Srl Milan (Italy) The main research activities carried out at the Milan laboratories are the design and implementation of molecular recognition systems for the development of chemical sensors, innovative materials for the selective adsorption of organic, inorganic, biochemical molecules and pathogen detection. Co-founder of the startup Moresense Srl
Synthetic receptors, MIP, sensors
Dipartimento di Ingegneria, Università degli Studi della Campania, Italy
Microwave radar imaging as a tool for medical diagnostics
microwave imaging and sensing; inverse scadering problems; radar imaging
Faculty of Engineering, Yokohama National University, Yokohama, Japan
Exploring the fundamentals and applications of plastic optical fiber fuse
Yosuke Mizuno is an Associate Professor at Yokohama National University in Japan. He received his B.E., M.E., and Dr.Eng. degrees in electronic engineering from the University of Tokyo in 2005, 2007, and 2010, respectively. Before joining Yokohama National University, he worked as an Assistant Professor at Tokyo Institute of Technology for eight years. His research focuses on fiber-optic sensing and polymer optics. He has published nearly 200 refereed journal papers and has given more than 30 invited talks at international conferences, including OECC 2021, SENSORS 2019, OECC 2018, OFS-25, and OFS-23.
distributed fiber-optic sensors, optical correlation-domain reflectometry (OCDR), polymer optical fiber (POF) sensors, POF fuse
Simone Berneschi received his MS and PhD degree in Telecommunication Engineering from the University of Bologna (Italy) in 2003 and 2007, respectively. From 2021 he works at IFAC-CNR as Senior Researcher. He was involved in different National and European projects as research/operating unit and he acted as Principal Investigator of an ERA-NET “PhotonicSensing” project in the frame of European Union's Horizon 2020 Research. From 2017 he is Topical Editor of Applied Optics Journal of OPTICA Society (formerly OSA). Another his activity is linked to the teaching of Optoelectronics/Optoelectronic Systems at the University of Bologna (Faculty of Telecommunications Engineering) and of Florence (Faculty of Electronic Engineering and Faculty of Physical Sciences), first as teaching fellow and then as contract professor. From 2003, he has published more than 70 papers in ISI Journals, more than 80 proceedings in international congress and 6 book chapter. Overall, his H-INDEX is 28 (Source: Google Scholar; user: Simone Berneschi), with a total number of citations equal to 2418.
Optical Materials; Integrated Optics; Optical Microcavities; Optoelectronics; Optical Chemo/Bio-Sensors; Point of Care Testing (POCT).
Department of Biomedical Engineering, Khalifa University, United Arab Emirates,
Instituto de Telecomunicações, Portugal
Photonic based sensors for biomedical applications
M. Fátima Domingues received her PhD in Physics Engineering in December 2014, at the University of Aveiro, Portugal. In 2015 M. Fátima Domingues started a Research position at the Instituto de Telecomunicações – Aveiro; and the Consejo Superior de Investigaciones Científicas (CSIC)-Madrid, Spain At present, M. Fátima Domingues is an Assistant Professor at the Biomedical Engineering Department at Khalifa University, Abu Dhabi-UAE and a Researcher at Instituto de Telecomunicações – Aveiro. Her current research interests embrace new photonic based sensing solutions and its biomedical and e-Health applications. Dr. Domingues authored and co-authored more than +110 publications and has an active participation in Portuguese National and European R&D projects. She is an active member of several IEEE Societies, and, since January 2022, she is the Secretary for the IEEE EMBS Portuguese Chapter.
optical fiber sensors; fiber Bragg gratings; Fabry-Perot interformetric sensors; eHealth applications; gait analysis; wearable sensing devices
Metal organic frameworks (MOF) based Fiber optic sensors for food safety and environmental monitoring
Dr. V.V. Raghavendra Sai is a Professor of Biomedical Engineering in the Department of Applied Mechanics and group leader of Biosensors Laboratory at IIT Madras. Prior to joining IIT Madras in 2011, he was a postdoctoral fellow at University of Idaho, USA for two years. He received the Ph.D. in Biomedical Engineering from Indian Institute of Technology Bombay in 2009 for the work done on development of two novel fiber optic biosensing technologies for detection of biomolecules and pathogens. The biosensors laboratory focuses on development of affordable and indigenous technologies for clinical diagnostics, water, food and environmental monitoring. He has authored 35 peer reviewed research articles, more than 25 conference presentations/proceedings and filed 9 patents. He is also a recipient of prestigious Young Engineer Award from Indian National Academy of Engineering (INAE) and travel award from Epson Research Foundation in 2015 and 2016 respectively. He has been part of several international research projects with US, UK, Germany and Norway. Some of the technologies developed by his group has been licensed and transferred to US and Indian startups. He has guided 6 PhD and MS scholars and mentored 5 postdocs. Currently 9 research scholars (MS & PhD) are working with him.
Metal organic frameworks (MOF); U-bent fiber optic sensors; Heavy metal ions sensing; Ochratoxin A; Label-free sensing; Food safety; Environmental monitoring
Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan
Label-free optical fiber biosensors for cancer biomarker detection: recent advances and challenges
Aliya received MSc in Biotechnology from McGill University in Canada (2010) and Ph.D. degree in Science, Engineering and Technology from Nazarbayev University (NU) in Kazakhstan (2020). Aliya is currently a senior researcher at National Laboratory Astana at NU where she has a project on developing a packaged optical fiber-based biosensor for detection of cancer biomarker at low concentrations. Her current research interests include surface modification and characterization of materials for biomedical applications, optical fiber biosensors for detection of different analytes.
biosensor, optical fiber, cancer biomarkers, surface modification, biomedical application
Optical fiber sensors for muscle effort and pressure monitoring in wheelchair users
Nélia Alberto completed her PhD in Physics in 2011, from the University of Aveiro (Portugal). Currently, she is an Assistant Researcher at the Instituto de Telecomunicações, and a lecturer at the Physics Department of the Aveiro University. She is author/ co-author of more than 120 peer-review papers in journals/conferences, several book chapters and co-editor of a book. She has participated in several Portuguese National and European R&D projects, and has been actively involved in other scientific activities, including reviewing for scientific journals, participation on the organizing of conferences and as TPC, and supervision activities. Her research interests include the development of photonic solutions and their application, with special focus on biomedical context.
Fiber Bragg gratings; Fabry-Perot interferometers; fiber sensors; photonic solutions, biomedical applications
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
High-efficiency detection, high-speed counting and picosecond-precision time-tagging of single photons
Giulia Acconcia received the B.S. degree in engineering of computing systems and M.S. degree in electronics engineering from the Politecnico di Milano, Milan, Italy, in 2011 and 2013, respectively. In 2017 she received the Ph.D with honours in Information Technology from the Politecnico di Milano. From 2017, she has been with the Department of Electronics, Information and Bioengineering at the Politecnico di Milano where she is currently a Senior Researcher. She has co-authored more than 60 papers in international journals and conferences. Her current research interests include the development of integrated electronics for high-performance counting and timing with Single Photon Avalanche Diodes (SPADs). Dr. Acconcia was awarded SPIE Rising Researcher in 2019 and Young Investigator Award in 2020.
single photon detection, single photon avalanche diodes (SPADs), time tagger, time-to-amplitude converter, time correlated single photon counting, TCSPC
Department of Engineering, University of Sannio, Benevento, Campania, Italy
Optical fiber meta-tips for wavefront manipulation
Maria Principe is Assistant Professor in Experimental Physics of Matter at Engineering Department of University of Sannio. She received the M.Sc. in Telecom Engineering cum laude and honorable mention in 2006, and the PhD in Information Engineering from the University of Sannio, Italy, in 2010. In 2005 she spent a Summer Undergraduate Research Fellowship at California Institute of Technology, in Pasadena (CA, USA). In 2009/10 she was a Fulbright Visiting Student Researcher at University of Texas (TX, USA). In 2016 M. Principe won the Special Breakthrough Prize in Fundamental Physics 2016 and the Gruber Cosmology Prize for the first detection of gravitational waves. In 2018 she was elected among the six Italian young women researchers who attained the L’Oreal-UNESCO for Women in Science Award. Her main research activities focus on design and development of optical metamaterial and metasurfaces for high precision metrology and for sensing applications. She is author of about 200 papers in international Journals, 3 book chapters, and several technical reports and works presented at national and international conferences.
optical metasurfaces, biological sensing, lab-on-fiber
Department of Electrical and Electronic Engineering, Public University of Navarra, 31006 Pamplona, Spain
Multiparameter sensing with lossy mode resonance based optical sensors in planar configuration
Ignacio Del Villar obtained a PhD in Telecommunications Engineering with a specialty in fiber optic sensors in 2006 at the Public University of Navarra. In 2021 he reached the position of Head of Electronic Technology in the Department of Electrical and Electronic Engineering and is a member of the Institute of Smart Cities He currently teaches subjects in the field of Electronics and Industrial Communications and has published two books on these topics. His research is focused on the field of sensors, where he has co-authored six books and is editor of the book Optical Fiber Sensors: Fundamentals for Development of Optimized Devices (Wiley-IEEE). In addition, he is co-author of more than 200 publications in international magazines and conferences, editor of Optics and Laser Technology and Sensors magazines, as well as co-founder of the spin-offs Eversens and Pyroistech.
thin-films, optical sensors, planar waveguide, lossy mode resonances
University of Campania Luigi Vanvitelli
Dynamic strain measurenents by distributed optical fiber sensors
Agnese Coscetta is a Post-doc at the University of Campania Luigi Vanvitelli, Italy, where she received the master degree in Electronic Engineering and the PhD in Industrial and Information Engineering in 2012. Her research interests include the design of optical fiber distributed sensors based on Brillouin and Rayleigh Scattering.
Brillouin scattering, Rayleigh scattering, dynamic measurements, hybrid Brillouin/Rayleigh sensor
Department of Orthodontics, Pomeranian Medical University in Szczecin, Poland
The Application and Use of Silver-Based Biomaterials in Dentistry, Possibilities and Limitations.
Magdalena Sycińska-Dziarnowska is a dental practitioner and researcher with extensive experience in the field of orthodontics. She obtained her degree in dentistry from the Medical University of Warsaw, Poland in 2006, and completed a residency in orthodontics at Pomeranian Medical University in Szczecin, Poland. She obtained a PhD in medical sciences from the same university in 2018. Dr. Sycińska-Dziarnowska has also obtained a specialist diploma in orthodontics and is currently engaged in scientific research and teaching dental students as an assistant in the Orthodontics Department at Pomeranian Medical University. She is also involved in treating patients under the "Orthodontic Care Program for Children with Congenital Facial Defects". She has received an individual award from the Rector of Pomeranian Medical University in Szczecin, Poland for her scientific achievements in 2021. She has published 15 scientific papers, including 13 after October 2020, with a total impact factor of 49.7 and a Hirsch index of 5 according to Web of Science Core Collection.
clinical orthodontics, biomaterials, silver nanoparticles, treatment of malocclusion
Åbo Akademi University, Faculty of Science and Engineering, Laboratory of Energy Technology, Finland
Challenges within Gasification and Hydrothermal Systems
Cataldo De Blasio is an Associate Professor at Åbo Akademi University (FNT), Laboratory of Energy Technology. Prof. De Blasio has worked within different chemical engineering areas including, among others, Gas Cleaning and Environmental Engineering, Process Design, Chemical and Biochemical Reaction Engineering, Mathematical Modeling, and Computer Aided Chemical Engineering. De Blasio is the author of the book: “Fundamentals of Biofuels Engineering and Technology, https://doi.org/10.1007/978-3-030-11599-9
Biomass, Waste, Hydrothermal Processing, Renewable energy
Event Chairs
Professor of Electronics at University of Campania Luigi Vanvitelli (Naples), Italy
Session Chair
Prof. Dr. Gianrico Spagnuolo
Department of Neuroscience, Reproductive and Odontostomatological Sciences University of Naples "Federico II", Naples, Italy
A. Applied Biosciences and Bioengineering
gspagnuo@unina.it
Prof. Dr. Marco Annunziata
Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, Italy
A. Applied Biosciences and Bioengineering
marco.annunziata@unicampania.it
Prof. Dr. Manoj Gupta
Materials Group, Department of Mechanical Engineering, National University of Singapore, Singapore
B. Nanosciences, Chemistry and Materials Science
mpegm@nus.edu.sg
Dr. Szerb Elisabeta Ildyko
“Coriolan Drăgulescu” Institute of Chemistry, Romanian Academy, Romani
B. Nanosciences, Chemistry and Materials Science
szella73@gmail.com
Dr. Alessandro Bruno
IULM AI Lab from IULM University, Italy
C. Computing and Artificial Intelligence
alessandro.bruno@iulm.it
Prof. Dr. Dongsoo Har
Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology (KAIST), Korea
C. Computing and Artificial Intelligence
dshar@kaist.ac.kr
Prof. Dr. Francesco Dell’Olio
Department of Electrical and Information Engineering, Polytechnic University of Bari, Italy
D. Electrical, Electronics and Communications Engineering
francesco.dellolio@poliba.it
Dr. Andrea Ballo
Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Italy
D. Electrical, Electronics and Communications Engineering
andrea.ballo@unict.it
Dr. Marco Mandolini
Department of Industrial Engineering and Mathematical Sciences, Marche Polytechnic University, Italy
E. Mechanical and Aerospace Engineering
m.mandolini@univpm.it
Dr. Ana Martins Amaro
Department of Mechanical Engineering, University of Coimbra, Portugal
E. Mechanical and Aerospace Engineering
ana.amaro@dem.uc.pt
Dr. Simeone Chianese
Department of Engineering, University of Campania “Luigi Vanvitelli”, Aversa, Italy
F. Energy, Environmental and Earth Science
Dr. Chiara Bedon
Department of Engineering and Architecture, University of Trieste, Italy
F. Energy, Environmental and Earth Science
chiara.bedon@dia.units.it
Dr. Catarina Simões
Faculty of Health Sciences, University Fernando Pessoa, Portugal
G. Food Science and Technology
catarinasimoes@ufp.edu.pt
Dr. Alessandra Durazzo
CREA-Research Centre for Food and Nutrition, Italy
G. Food Science and Technology
alessandra.durazzo@crea.gov.it
Dr. Francesco Arcadio
Department of Engineering, University of Campania Luigi Vanvitelli, Italy
H. Applied Physical Science
francesco.arcadio@unicampania.it
Dr. Santosh Kumar
Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information Technology, Liaocheng University, China
H. Applied Physical Science
santosh@lcu.edu.cn
Prof. Dr. Adriana Borriello
Department of Precision Medicine, University of Campania “L. Vanvitelli”, Italy
I. A Student Session
adriana.borriello@unicampania.it
Dr. Letizia De Maria
RSE S.p.A, Technologies for Transmission and Distribution, Italy
I. A Student Session
Letizia.DeMaria@rse-web.it
Dr. Cosimo Trono
Fibre Optics Group, Institute of Applied Physics 'Nello Carrara', Italy
J. Poster
c.trono@ifac.cnr.it
Event Committee
Department of Engineering, University of Sannio, Benevento, Italy
nanobiophotonics; fiber optic nanoprobes; optical biosensors; plasmonics; lab-on-fiber, lab-in-a-needle
Department of Electric, Electronic and Information Engineering, University of Catania, Catania, Italy
smart sensing systems and readout electronics; assistive technologies; nano and microsensors; µ-fluidics; bio-sensors; inkjet printed sensors and flexible sensors; sensors exploiting innovative materials; sensor networks; smart signal processing and nonli
Department of Physics and I3N, University of Aveiro, Campus Universitário de Santiago, Portugal
photonics; optics for aerospace; optical sensors; optical devices; machine learning for optics
Department of Mathematics and Informatics, Physic and Earth Sciences (MIFT), University of Messina, Italy
environmental radioactivity; gamma spectrometry; liquid scintillation; alpha spectrometry; gas radon detection; emanometry; ionizing radiations
Department of clinical and oral sciences, Biochemist, Medical Faculty, University, Italy
cancer stem cells; natural compounds; bioactive compounds; cancer; polyphenols; vitamins; dietary supplements; self-renewal; chemosensibilization; functional foods; antioxidants; dietary supplementation; human health; chronic diseases; prevention; chemore
Department of Chemical Engineering, Indian Institute of Science Education and Research Bhopal, India
membrane science and technology; water and wastewater treatment; gas separations; nanomaterials; polymeric materials; biomedical engineering
Chemical Kinetics Department, Ilie Murgulescu Institute of Physical Chemistry, Romanian Academy, Romania
biopolymers; cyclodextrin inclusion complexes; hydrogels; biomaterials for biomedical applications; physico-chemical characterization of materials; thermal analysis; kinetics; oxide material design/synthesis and the thermoreactivity of precursor-oxide
Materials Science and Engineering Area, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, Calle Tulipán s/n, Móstoles, Madrid, Spain
multifunctional composite materials; self-healing materials; 3D printed nanocomposites; structural health monitoring
Instituto Andaluz de Ciencias de la Tierra, CSIC-UGR, Spain
crystal engineering; biomineralization; X-ray powder diffraction techniques, X-ray materials characterization
applied artificial intelligence; computational intelligence; computer aided engineering; evolutionary computation; genetic algorithms; machine learning; metaheuristics; multi-agent systems; scheduling; swarm intelligence
1. Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Poland
2. Systems Research Institute, Polish Academy of Sciences, Poland
data mining; artificial intelligence; computational intelligence; neural networks; metaheuristics
Theoretical and Experimental Epistemology Laboratory, University of Waterloo, Canada
vision science; physics; ECE and systems design engineering; optics and photonics; including mathematical methods; waveguides and fiber optics; image processing; biomedical optics; deep learning/machine learning in ophthalmic diagnosis
Institute of Automatic Control, Electronics and Electrical Engineering, University of Zielona Góra, Poland
control systems; formal verification; Petri nets; model checking; cyber-physical systems
School of Technology and Management, Polytechnic Institute of Viana do Castelo, Portugal
dynamics; vibration and damping; smart materials and structures; computational and experimental mechanics; mechatronics and structural control; structural acoustics; impact and wave propagation; structural health monitoring; composite structures; machine
Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Italy
design tools and methods; design for additive manufacturing; design optimization; design configuration
Chemical Engineering Department, University of La Laguna, Spain
photocatalysis for sustainable environmental applications: air/water decontamination, biofuels production, hydrogen from water splitting
University of Zagreb, Faculty of Civil Engineering, Water Research Department, Croatia
sediment transport; dune migration; bridge scour; flood risk; drainage; turbulence; fishways
Department of Civil Engineering, University of British Columbia (UBC), Canada
earthquake engineering; resilience engineering; risk & fragility analysis; structural control & shm; modular construction
natural compounds; nutraceuticals; natural products; food science and nutrition; food composition databases; bioaccesibility; dietary intake
Institute of Food Sciences, Warsaw University of Life Sciences, Poland
lactic acid bacteria; silage microbiology; yeast biotechnology; circular economy
Chemical and Environmental Technology Department, Universidad Rey Juan Carlos, Spain
contaminants; bioactive compounds; natural toxins; miniaturization; microextraction; sample preparation; liquid chromatography; mass spectrometry; novel sorbents; analytical methods
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
biomaterials; oral surgery; implantology; oral pathology; prosthodontics; bioengineering
quantum dots; microcavities; microlasers; optical sensors and devices; polymer light emitting materials; OLEDs
Department of Chemical Sciences - DiSC, University of Padova, Padova, Italy
semiconductor material for electronic applications; temperature sensing; plasmonic nanostructures; two-photon absorption and fluorescence; up-conversion for integrated laser devices; optical limiting
Department of physics, University of Naples Federico II, Naples, Italy
organic electronic; microwave properties; superconductivity
Laboratorio NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, Italy,
INTA srl, Intelligent Acoustics Systems, Pisa, Italy
biosensors; microfluidics; surface acoustic waves; micro/nano fabrication; surface functionalization
Department of Computer and Electrical Engineering, Nazarbayev University, Kazakhstan,
Laboratory of Biosensors and Bioinstruments, National Laboratory of Astana, Kazakhstan
optical fiber sensors; optical biosensors; distributed sensors; bioengineering
Dept. Information Engineering, University of Padova, Italy
Optical Fiber Sensors, Optical Fiber devices
Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy
innovative applications for biomass valorisation; biomass gasification; value-added compound production; green molecule production; advanced treatment technologies; biorefinery; green extraction processes; flue gas desulphurization from thermal power plan
Dipartimento di Fisica "E. Pancini", Università Federico II, Napoli and CNR-SPIN
Condensed matter theory
THz radiation source and detector; THz time–domain spectroscopy; THz frequency–domain spectroscopy; thz imaging; Fourier transform infrared (FTIR) spectroscopy; stimulated Raman scattering (SRS); SRS spectroscopy; SRS microscopy; optical microscopy; biome
machine learning; context aware recommender systems; data mining; ontology; IoT
Department of Information Engineering (DEI), University of Padova, 35131 Padova, Italy
machine learning; bayesian methods; diabetes; signal processing; decision support systems; digital health & therapeutics; telemedicine
Department of Design and Monitoring of Technical Systems, Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia
technical diagnostics; virtual instrumentation; mechanical engineering; nanomaterials
Center for Advanced Laser Technology (CALT) & Hebei Key Laboratory of Advanced Laser Technology and Equipment, Hebei University of Technology | Room 201, Tianjin 300401, China
photonics; optics; laser; nonlinear optics; laser technology
University of Verona, Department of Biotechnology, Strada Le Grazie 15, 37134 Verona, Italy
Surface plasmon resonance; localized surface plasmon resonance; plasmonic optical fiber sensor; nanoplasmonic sensors; optical fiber chemo-biosensors, analytical chemistry, photochemistry
Department of Clothing Technology and Manufacturing Engineering, Berlin School of Culture + Design, Berlin University of Applied Sciences (HTW Berlin), 12459, Berlin, Germany
Nanofibers, carbon nanofibers, mycelium composites, pleurotus ostreatus, smart textiles, clothing engineering, 3D printing, bio-based textiles, sustainable fibers and textiles, electrospinning
Department of Neurosciences, Reproductive and Odontostomatological Sciences, University “Federico II” of Naples, 80131 Naples, Italy
prosthodontics; adhesive dentistry; dental materials
Institute of Crystallography National Research Council, Monterodondo, Italy
University of Campania Luigi Vanvitelli, Aversa, Italy
University of Sannio, Benevento, Italy
Sapienza University, Rome, Italy
Sessions
B. Nanosciences, Chemistry and Materials Science
C. Computing and Artificial Intelligence
D. Electrical, Electronics and Communications Engineering
E. Mechanical and Aerospace Engineering
F. Energy, Environmental and Earth Science
G. Food Science and Technology
H. Applied Physical Science
I. A Student Session
J. Poster Session
Instructions for Authors
Submissions should be made by authors online by registering with https://sciforum.net/, and using the "New Submission" function once logged into the system.
1. 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 at this website up to 21 July 2023.
2. The Conference Committee will conduct a pre-evaluation, based on the submitted abstract, of whether the contribution from the authors of the abstract will be welcome for the 4th International Electronic Conference on Applied Sciences. All authors will be notified by 11 August 2023 about the acceptance of their abstract.
3. If the abstract is accepted for this conference, the author will be asked to submit a minimum of one of the following: a proceedings paper (3-6 pages), a poster, a slides presentation (in PDF), or a short video presentation (max. 3–5 minutes). This should be ready by the submission deadline of 15 September 2023. If you submit a proceedings paper, you need to upload the Word and PDF versions in Original files (zip/word) and Manuscript PDF, respectively. If you choose to submit a poster, a slides presentation (in PDF), or a short video presentation (max. 3–5 minutes), please submit the abstract in Word and PDF format in Original files (zip/word) and Manuscript PDF, respectively.
4. The proceedings paper and presentations will be available on ASEC2023.sciforum.net for discussion and rating during the time of the conference, from 27 October–10 November 2023.
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 in the MDPI journal Engineering Proceedings (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.
The open access journal Applied Sciences (ISSN: 2076-3417) will publish a Special Issue of the conference. After the conference, the Conference Committee will select manuscripts that may be included for publication in the Special Issue of the journal Applied Sciences (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.).
Proceedings Paper
Proceedings papers must be prepared in MS Word using the Proceedings template (see below) and should be converted to PDF format before submission. The manuscript should count at least 3 pages (incl. figures, tables and references) and should not exceed 6 pages. Carefully read the rules outlined in the 'Instructions for Authors' on the journal website and ensure that your manuscript submission adheres to these guidelines.
Manuscripts for the proceedings issue must have the following organization:
- Title
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Abstract (200–250 words)
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Video Presentations
Authors are also encouraged to submit video presentations. This is an unique way of presenting your paper and discussing it with peers from all over the world. 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 15 September 2023.
Posters
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.
2)The minimum size for images is 148 mm × 210 mm (horizontal × vertical) at 300 dpi.
3)The content of the poster should be a comprehensive presentation of your accepted submission.
4) There should be no copyright issues with any elements in the poster.
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 the “Acknowledgments” section.
Copyright
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).
List of accepted submissions (393)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-080459 | One-step synthesis of robust 2D Ti3C2-MXene/AuNPs nanocomposite by electrostatic self-assembly for (bio)sensing | , , , , , | N/A | N/A |
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We present a single-step approach for the synthesis of Ti3C2 MXene and gold nanoparticle (AuNP) composites via electrostatic self-assembly. A unique challenge was addressed: the electrostatic repulsion between negatively charged Turkevich-synthesized AuNPs and negatively charged MXene sheets. We induced a positive charge on the AuNP surface using cetyltrimethylammonium bromide (CTAB), which enabled effective electrostatic interactions with the negatively charged surface of the MXene sheets. The success of AuNP surface modification with CTAB was confirmed via UV-Vis spectroscopy as well as the resulting MXene-AuNP composite. The as-synthesized MXene had a zeta potential of -34 mV, while the positively charged AuNPs displayed a potential of 25 mV. In contrast, the initial Turkevich-synthesized gold nanoparticles exhibited a charge of -30 mV. This charge alteration enabled the electrostatic self-assembly of the two components and gives a control over NPs count over MXene flakes. Notably, no AuNP peaks were observed at lower AuNP ratios in the composite. However, distinct peaks for both MXene and AuNPs appeared at an optimized ratio, confirming the successful formation of the composite. Scanning Electron Microscopy (SEM) images provided further insights into the successful formation of the composite with clearly visible AuNPs decorating the MXene matrix. Dynamic Light Scattering (DLS) measurements were performed for size analysis. These measurements revealed that MXene had an average size of 650 nm, consistent with literature but with a smaller flake size. AuNP exhibited dimensions of around 40 nm. In conclusion, our single-step synthesis method offers a sustainable platform for synthesizing MXene-AuNP composites with enhanced properties, rendering them suitable for a wide array of applications, notably in bio-sensing and nanomaterial-based technologies. |
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sciforum-079967 | A Very Short Term Photovoltaic Power Forecasting Model by Deep Learning and the LDA Method Using Weather Multivariate Time Series Inputs | , , | N/A | N/A |
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Photovoltaic (PV) system-generated solar energy has inconsistent and variable properties, which makes controlling electric power distribution and preserving grid stability extremely difficult. A photovoltaic (PV) system's performance is profoundly affected by the amount of sunlight that reaches the solar cell, the season of the year, the ambient temperature, and the humidity of the air. Every renewable energy technology, sadly, has its problems. As a result, the system is unable to function at its highest or best level. To combat the unstable and intermittent performance of solar power output, it is essential to achieve a precise PV system output power. This work introduces a new approach to enhancing accuracy and expanding the time range of very-short-term solar energy forecasting (15 min step ahead) by using multivariate time series inputs in deferent seasons. First, Linear Discriminat Analysis (LDA) is used to select the relevant factors from the mixed meteorological input data. Secondly, two very short-term deep learning prediction models, CNN and LSTM, are used to predict PV power for a shuffled and reduced database of weather inputs. Finally, the predicted output from the two models are combined using classification strategy. The proposed method is applied to one year of real data collected from a solar power plant located in southern Algeria, to demonstrate that this technique can improve the forecasting accuracy compared to other techniques, as determined by statistical analysis involving normalized root mean square error (NRMSE), mean absolute percentage error (MAPE), mean bias error (MBE), and coefficient of determination (R2). |
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sciforum-075595 | Effect of Tool Rotational Speed and Dwell Time on the Joint Strength of Friction Stir Spot Welded AA6061-T6 Aluminum Alloy Sheets. | , | N/A | N/A |
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Friction stir spot welding (FSSW) is a solid state welding technique, was developed by Mazda Motor Corporation and Kawasaki Heavy Industries as a novel derivative of the friction stir welding as an alternative to the traditional fusion welding processes. FSSW successively used to join similar and dissimilar metals. Tool rotational speed and dwell time are the most effective FSSW process parameters. In the present investigation, the role of the tool rotational speed and the dwell time in determining the strength of the FSSW joints was studied using AA6061-T6 aluminum alloy sheets with thickness of 1.8 mm as a workpiece material. A classic milling machine was employed to carry out the welding process. Four different values of tools rotational speed with two dwell time values were taken to produce the FSSW lap-shear specimens. Four specimens were performed for each FSSW process condition. three specimens were averaged to evaluate the tensile-shear fracture load, while the remaining specimen was used for the micro-Vickers hardness examination and the microstructure observation. The investigation reported an increase in the joint strength within a certain range of tool rotational speed and dwell time values corresponding to grain refinement in the weld zone. The variation in mechanical properties was attributed to the corresponding frictional heat generation and material flow during the welding process. Strain hardening and dynamic recrystallization determined the grain refinement and the weld nugget hardness. Lower mechanical properties were observed with the excessive frictional heat generation and material flow with the too high speeds and dwell time values. |
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sciforum-076048 | Optimizing Police Locations around Football Stadiums Based on Multicriteria Unsupervised Clustering Analysis | , , , , | N/A | N/A |
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This work proposes a methodology based on Multicriteria Decision Aid (MCDA) and Cluster Analysis to identify ideal locations for the installation of police facilities or vehicle parking and policing around stadiums in Recife, Brazil, during potential violent sports events (criminal occurrences from football supporters or fanbases). K-Means unsupervised clustering algorithm is used to group criminal data into homogeneous clusters based on their characteristics. Each type of criminal occurrence is linked to a single cluster. The optimal location is addressed based on the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation), allowing clusters to be organized into a hierarchy based on the number of facilities (N), average distance (D) from the criminal occurrence to the associated cluster, and the coverage level (C) which is the proportion of crime occurring in a location less than 500m from the associated cluster. Through data analysis on crimes and violence in the region, the study seeks to identify patterns of criminal behaviour and high-risk areas to determine the most strategic location for the police units and enhance the public security decision-making process. The choice for the k parameters ranged from 1 to 30 incorporating all region of analysis, with computational cost of 43 minutes running time using Intel Core i3-3217U (1800GHz and 10 GB RAM). This approach and methodology can be useful to support public security policies in the region and contribute to the reduction of violence around the stadiums. The empirical application can help guide public managers' decisions regarding resource allocation and the implementation of more effective security policies, with the aim of ensuring a safer environment for fans and residents in the areas near the stadiums. |
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sciforum-077809 | Feature Extraction of Ophthalmic Images using Deep Learning and Machine Learning Algorithms. | , , , , | N/A | N/A |
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Deep learning and Machine Learning Algorithms has become the most popular way for analyzing and extracting features especially in medical images. And feature extraction made the task much easier. Our aim is to check which feature extraction technique works best for a classifier. We used Ophthalmic Images and applied feature extraction techniques such as Gabor, LBP (Local Binary Pattern), HOG (Histograms of Oriented Gradients), and SIFT (Scale-Invariant Feature Transform), where the obtained feature extraction techniques are passed through classifiers such as RFC (Random Forest classifier), CNN (Convolutional neural network), SVM (Support vector machine), and KNN (K-Nearest Neighbors). Then we compared the performance of each technique and selected which feature extraction technique gives the best performance for a specified classifier. We achieved 94% accuracy for Gabor Feature Extraction technique using CNN Classifier, 92% accuracy for HOG Feature Extraction technique using RFC Classifier, 90% accuracy for LBP Feature Extraction technique using RFC Classifier and we achieved 92% accuracy for SIFT Feature Extraction technique using RFC Classifier. |
Event Awards
To acknowledge the support of the conference esteemed authors and recognize their outstanding scientific accomplishments, we are pleased to launch the Best Contribution Award and Best Student Award.
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 Best Student Award has been established to encourage high-quality work among young researchers.
Terms and Conditions:
Best Contribution Awards
ASEC2023 would like to award the two best contributions as elected by the conference committee. The Awards will consist of 500 Swiss Francs for each awardee. To join in this award, a proceedings paper (3-6 papers) must be submitted. We look forward to posting your contributions.
Eligibility Requirements:
1. A proceedings paper (3-6 papers) must be submitted to ASEC 2023;
2. Originality/Novelty of the paper;
3. Significance of Content;
4. Scientific Soundness;
5. Interest to the readers;
6. English language and style.
Best Student Award
The student award will consist of 500 Swiss Francs. This award is for a student who has joined in the online student competition of the ASEC 2023.
Eligibility Requirements:
1. The student themselves should be the corresponding author
2. A scanned copy or photograph of the valid student ID card must be submitted together with the extended abstract
3. Presentation materials must be submitted
If you would like to join in this competition, please submit your work to the Student Session.
Conference Secretariat
Ms. Ariel Zhang
Ms. Nicole Lian
Email: asec2023@mdpi.com
A. Applied Biosciences and Bioengineering
B. Nanosciences, Chemistry and Materials Science
C. Computing and Artificial Intelligence
D. Electrical, Electronics and Communications Engineering
E. Mechanical and Aerospace Engineering
F. Energy, Environmental and Earth Science
G. Food Science and Technology
This session welcomes applied research contributions on all aspects of food science and technology, including the applications of chemistry, engineering, microbiology, epidemiology, nutrition, and molecular biology to food studies, in order to improve its safety, nutritional value, and overall quality.
H. Applied Physical Science
This session aims to bring together researchers, scientists, and experts from various disciplines to discuss and explore the latest advancements and applications in the field of physical sciences. This session will provide a platform for sharing cutting-edge research, innovative ideas, and practical solutions related to applied physics. It covers a wide range of topics, such as condensed matter physics, nanoscience and nanotechnology, material science, optics and photonics, energy systems, computational physics, quantum technologies, optical sensing, and more. Participants are encouraged to present their research findings, exchange knowledge, engage in fruitful discussions, and foster collaborations in order to contribute to the advancements and interdisciplinary applications of physical sciences.