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Special Session Proposal Submission has Closed
Submit Abstracts by 28 February 2025
Submit Tutorial Session Proposal by 14 February 2025
Conference topics
Topics for MeSSAC2025 include, but not limited to:
• Sensors and Measurement for Batteries, Fuel Cells and Energy Storage Devices
• Sensors and Measurement for Enhancing Industrial Process Safety
• Sensors and Measurement In Food Processing and Food Safety
• Sensors and Measurement for Decarbonation and Carbon Neutralization
• Sensors and Measurement in Aerospace and Space Systems
• Sensors and Measurement for the Energy and Power Industry
• Sensors and Measurement for the Oil and Gas Industry
• Sensors and Measurement for Robotics and Autonomous Vehicles
• Machine Learning and Big Data for Sensing and Measurement
• Sensors and Measurement in Medical, Biomedical and Healthcare Systems
• Advances in Measurement Theory and Metrology
• Real-time Measurement Systems
• Sensor Systems and Sensor Networks
• Optic Sensors and Measurement
• Image Processing and Vision Based Measurement
• Signal Processing for Sensing and Measurement
• Sensors and Measurement for Industry 4.0
• Sensors and Measurement for Advanced Manufacturing
• Sensors and Measurement in Environmental Monitoring
• Sensors and Measurement for Communications and IoT
• Sensors and Measurement for Non-Destructive Testing and Evaluation
• Sensors and Measurement for Physical and Electromagnetic Quantities
• Sensors and Measurement for Chemical and Biological Quantities
Special Sessions
Ultrasound sensors and applications
This special session aims to explore the latest developments and innovations in ultrasound sensor technology and its diverse applications across various fields. As a non-invasive and highly versatile measurement technique, ultrasound sensors have become integral in industries such as healthcare, environmental monitoring, manufacturing, and robotics.
The session will cover a wide range of topics, including but not limited to:
Medical Ultrasound Imaging:
Innovations in diagnostic ultrasound techniques, real-time imaging advancements, and the integration of artificial intelligence in image analysis.
Industrial Applications:
Utilization of ultrasound sensors for quality control, non-destructive testing, and process monitoring in manufacturing settings.
Environmental Sensing:
The role of ultrasound in aquatic and atmospheric monitoring, including applications in sonar technology and wildlife tracking.
Emerging Technologies:
The integration of ultrasound sensors with IoT and smart technologies for enhanced data collection and analysis.
Research and Development:
Current trends in ultrasound sensor research, including miniaturization, improved sensitivity, and new material applications.
This session will bring together experts from academia, industry, and research institutions to share their insights and foster collaborative discussions on the future of ultrasound sensing technologies.
Sensors, Impedance Measurement and Calibration in Robots and Autonomous Vehicles
Abstract
Robots and autonomous vehicles rely heavily on the accuracy of the data provided by sensors. This research focuses on the importance of measuring and calibrating impedance in these systems, and the role of SASO/NMCC standards in ensuring the quality of these measurements. We will review the challenges facing these technologies, and address the role of computer vision systems in improving the performance of these systems. We will also propose innovative solutions to address these challenges, including developing new algorithms to analyze data from sensors
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Impedance measurement unit: It is an electronic piece that measures and determines the forces acting on the body and its angular acceleration and sometimes the magnetic field using a set of sensors such as acceleration, rotation, and magnetic field sensors. This unit is commonly used in aviation to facilitate maneuvering and maintain balance, and is also used in space in satellites and spaceships
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Key points to be included:
• Importance of sensors: Their role in enabling robots and autonomous vehicles to interact with the environment.
• Measurement and calibration of impedance: Their importance in ensuring system performance.
• Role of SASO/NMCC: The importance of standards in ensuring the quality of measurements.
• Modern technologies: Computer vision systems and their applications.
• Challenges and solutions: Challenges facing these systems and suggestions for solving them.
Advanced measurements of batteries, fuel cells and other energy storage devices
The economic and productivity gains of renewable energy storage (i.e. rechargeable Lithium-ion batteries) over the past decade have cemented their position as the heart of our energy-intensive society. With market demand for batteries soaring, enhancing their efficiency of use, reliability, longevity and safety is essential to lowering their overall environment footprint and progressing towards sustainability. Although there are profound difficulties in realizing such performance goals, the burgeoning field of operando monitoring is capable of disentangling the intertwined, complex physical/chemical processes inside batteries and cells during operation. This is leading to the development of many new and valuable sensing techniques that may enhance our understanding of degradation, aging, and prognostic assessment of energy storage devices.
The scope of this special issue includes, but is not limited to the following:
• Novel concepts and mechanisms of measurement for batteries, fuel cells and other energy storage devices
• Advanced materials, configuration and fabrication technologies for monitoring
• Interrogator and analysis systems for renewable storage monitoring applications
• Multiplexing and distributed sensing techniques
• Sensor fusion, big data and artificial intelligence technologies
• Advanced battery monitoring systems for grid energy storage and electric vehicles
• Analysis of life cycle of energy storage devices under real-world conditions
Antenna-based sensing system for civil structural health monitoring
Antenna-based sensing systems utilizing electromagnetic backscattering can achieve passive operation, offering advantages such as low interference, energy efficiency, and high environmental compatibility, enabling large-scale applications in civil engineering. In recent years, the interrogator with customized signal generators and powerful AI algorithms has enhanced interrogating performance, such as improving signal-to-noise ratio, interrogation distance, and sampling frequency. And, antenna with innovative metamaterials and configuration is anticipated to alter the reflected electromagnetic waves in terms of frequency, amplitude, phase and reflecting direction, providing a mighty toolbox for sensor design. In the future, antenna-based sensing systems mounted on vehicles and UAVs could offer a wider application for smart city infrastructure management.
This special session seeks to explore the diverse applications and advancements of antenna-based sensing techniques in civil structural health monitoring, encompassing but not limited to:
Antenna-based Sensing Node: Novel approaches utilize an antenna as a sensing node for passive wireless detection of key parameters in civil structural health monitoring. Design to enhance the sensing and interrogating abilities of existing sensing nodes is also encouraged.
Interrogating System: Develop a reader for the corresponding antenna node to enhance capabilities, including, but not limited to, interrogation distance, signal-to-noise ratio, and sampling rate.
Environmental Effect Management: Evaluation of the environmental effects on measured parameters. To calibrate or decouple these effects, the development of new technologies, such as innovative node designs, depolarization techniques, and pre-calibration methods, focusing both on hardware and software, is highly encouraged.
Engineering Applications: The application of the proposed antenna sensing system to real structures encompasses various aspects, including, but not limited to, reporting testing results, advancements in installation, long-term monitoring, and environmental calibration.
Conformal Sensing Technology and Flexible Manufacturing Method
Significance of the topic
Conformal sensing technology and flexible manufacturing method are frontier scientific issues in the intelligent sensing field. Conformal sensing refers to the application of sensor arrays that can closely conform to non-standard surfaces, enabling precise perception of the geometric forms and physical property changes. Flexible manufacturing focuses on developing novel materials and processes to obtain sensors with excellent mechanical properties, which can withstand bending, twisting, and even stretching without affecting their functionality.
Flexible sensors combined with highly adaptive conformal sensing technology, enable easy integration with various composite materials and structures. These sensors exhibit higher sensitivity and excellent durability, thereby enhancing the system reliability under dynamic conditions and non-rigid surfaces. Such technologies are primed to revolutionize a range of applications, from wearable health monitor to advanced soft robotic and online monitoring of aerospace composite materials.
Conventional measurement and sensor system sessions primarily focus on rigid sensing technology and measurement platforms. This special session on "Conformal Sensing Technology and Flexible Manufacturing Methods" is dedicated to presenting the advancements in conformal sensing and flexible manufacturing, exploring the integration of advanced flexible manufacturing, innovative conformal sensor structures and intelligent sensing techniques. We invite prospective authors to enrich this session with their innovative research spanning all nuances of the stated domains. Submissions across a spectrum of topics are encouraged, including but not limited to:
Advanced flexible materials and manufacturing processes tailored for conformal sensing.
Malleable conformal sensors and accompanying systems designed for non-rigid surfaces and dynamic environments.
Integration of conformal sensor array, e.g., multi-sensor fusion and integration of sensors with composite materials.
Intelligent signal processing and sensing techniques for non-rigid measurements.
Pioneering or potential applications that leverage the flexible conformal sensing.
Computational flow visualization
Computational imaging allows for the visualization of flow fields (i.e. computational flow visualization) in situations where conventional imaging would not be possible, whether it be due to limitations on optical access, challenges with extreme environments, or the need to measure quantities not directly accessible from image data. Tomographic techniques, such as tomo-PIV or tomo-BOS, are a well-known form computational flow visualization whereby 2D or 3D images are computationally determined from lower dimensional optical data. More recently, data assimilation techniques, such as physics informed neural networks, are being developed to improve image resolution or to allow for the visualization of flow properties such as pressure. This special session seeks to highlight recent advances in the field of computational flow visualization.
Biomedical Measurement and Imaging Techniques
Development of novel biomedical measurement and imaging techniques is of great importance to biomedical applications, including disease diagnostics and therapy. In the past decades, different modalities, including photonics, electric, ultrasound and magnetics, have been development for biomedical measurement and imaging. This special session will focus on the methodology, techniques, instrumentation and application of multi-modal measurement and imaging for disease diagnostics and therapy. Specific areas of interest are listed but not limited as follows.
1. Bio-inspired photonic materials, devices, and applications
2. Data acquisition, image reconstruction and medical applications of electrical impedance tomography
3. Ultrasound sensing and imaging
4. Magnetic particle imaging physics, instrumentation and applications
Non-destructive test and imaging
Damage detection, diagnosis and prognosis of materials and structures play an important role in non-destructive testing (NDT), and condition assessment. The typical components of an NDT system include sensor selection and placement, data acquisition, data transmission, data processing and control, data management, health evaluation, decision-making, and inspection and maintenance. Sensing technologies (data acquisition and data transmission) and data processing algorithms are two critical factors for the success of NDT of materials and structures. Damage diagnosis using artificial intelligence algorithms can provide important information for assessing current conditions and predicting the future performance of materials and structures. Damage prognosis methods and performance assessment techniques can ensure the safe operation of structures and help determine cost-effective maintenance strategies. The objective of the invited session is to share and discuss recent advances in the development and application of artificial intelligence for damage detection, diagnosis and prognosis of materials and structures. Topics covered in this invited session include, but are not limited to, the latest ideas and advances in theories, techniques, and methods used to advance knowledge in different aspects of artificial intelligence, such as smart sensors, data mining and processing, structural damage diagnosis and prognosis, and artificial intelligence algorithms, as well as case studies that demonstrate the practical application of advanced artificial intelligence techniques.
Measurement and imaging techniques for Combustion monitoring and diagnosis
Objective:
The proposed special session aims to convene a group of experts to discuss the critical role of measurement and imaging techniques in the field of combustion monitoring and diagnosis. The session will explore how these techniques are essential for enhancing combustion efficiency, ensuring safety, managing emissions, and driving research and development in the industry.
Background:
Combustion processes are integral to a wide array of industrial applications, from energy production to transportation. The precision and safety of these processes are paramount, and measurement and imaging techniques are the tools that enable us to achieve these goals. This session will delve into the necessity and importance of these techniques, providing a platform for sharing knowledge and discussing the latest advancements.
Session Format:
Opening Remarks: An introduction to the importance of measurement and imaging in combustion processes.
Keynote Presentations: Experts will present on the latest research and developments in measurement and imaging techniques.
Panel Discussion: A moderated discussion on the challenges and future directions in the field.
Interactive Workshop: Hands-on demonstrations and case studies to illustrate the practical applications of these techniques.
Networking: Opportunities for attendees to connect with presenters and peers.
Expected Outcomes:
To provide a comprehensive understanding of the role of measurement and imaging techniques in combustion processes.
To foster collaboration among researchers, engineers, and industry professionals.
To identify gaps in current knowledge of visible combustion monitoring and propose avenues for future research.
To discuss the implications of these techniques for environmental compliance and sustainability.
Target Audience:
Researchers and academics in the field of combustion science and engineering.
Engineers and technicians involved in the design, operation, and maintenance of combustion systems.
Policymakers and regulators interested in emission control and environmental standards.
Representatives from industry seeking to improve the efficiency and safety of their combustion processes.
Tutorial session
The deadline for submission is 14 February 2025. The proposal will undergo a review process, and selected applicants will be asked to prepare the final material by 14 February 2025.
Please download the description for tutorial session here opens in new tab/window