I2MTC 2019 is offering a variety of Special Sessions. Click on the titles below to expand and read more about each Special Session and its organizer(s).
Moussa Kafal (firstname.lastname@example.org)
Reza Razzaghi (email@example.com)
Wire networks are fundamental subsystems whose correct functioning is of critical importance. Ensuring their reliable use requires the availability of techniques capable of detecting the presence of faults that could potentially put in jeopardy the infrastructures relying on these networks. This Special Session combines the recent state of the art of electromagnetic time reversal (TR) techniques applied in the field of wired network diagnosis and shows the evolution of future activities in this domain. It provides new perspectives and new research domains.
Yuhua Cheng (firstname.lastname@example.org)
Kai Chen (email@example.com)
Libing Bai (firstname.lastname@example.org)
The need for NDT&E has increased dramatically along with the exponentially increased applications of advanced materials in various industrial sectors. As an interdisciplinary field, NDT&E is closely linked to engineering, material science, computer science, etc. In fact, any advance in these related fields that can examine the inside of material, improve the characterizing and identifying process is useful for NDT&E. Particularly, much research in recent years has focused on employing machine learning in NDT&E and have established that machine learning can improve the robustness and sensitivity of the inspection system as well as make the system more automatic.
Chong Shen (email@example.com)
Traditional navigation measurement techniques do not possess the characteristics of intelligence, which means that the accuracy cannot be self-improved during operation. Meanwhile, the navigation ability of some animals would be enhanced in familiar environments. The Nobel Prize in Physiology or Medicine was awarded to scientists who discovered the animal's brain navigation cells in 2014, which made the research of intelligent or “brain-like” navigation popular. Moreover, the development of AI makes great progress in many traditional technologies. Therefore, how to endow traditional navigation measurement technologies with intelligence by combining with AI has great scientific significance.
Georg Brasseur (firstname.lastname@example.org)
The aim of this special session is to bring together researchers from academia and industry involved in the development of capacitive sensors for harsh environmental conditions. Original contributions on this topic, which may cover the following aspects among others, are welcome: Application examples; Instrumentation; Measurement techniques; Sensor modeling; Signal processing.
Lorenzo Ciani (email@example.com)
Nowadays in many contexts it is mandatory to fulfill performance of Testing and Diagnostics, Reliability, Maintainability, Safety and Risk assessment. Such tasks play a fundamental role in different fields of application (energy, transportation, information and communication technology, logistics, etc.) and are considered as fundamental in high-tech industry and plants. Prospective authors can provide original contributions in this topic which can cover, but not only, the following aspects: Instrumentation and measurement methods for Testing and Diagnostics (Destructive and Non-destructive Testing, Vibration monitoring, Built-in Test Equipment and Automatic Test Equipment, etc.); Condition monitoring and maintenance of industrial process, plants and complex systems; Measurements and techniques for Fault detection and diagnosis; Design and implementation of laboratory tests (Reliability test, Environmental test, Burn-in test, Vibration test, etc.) and Qualification tests for components, assemblies and process; Measurements, methods and instrumentation for evaluation of Reliability, Availability, Maintainability and Safety (RAMS), Risk assessment and management; Impact of RAMS requirements in the emerging technologies for Life and Society, environment and new energy sources; Effects of measurement uncertainty on the estimation of the RAMS parameters; Standards definition, certification and accreditation.
Angelo Genovese (firstname.lastname@example.org)
Konstantinos N. Paltaniotis (email@example.com)
Mel Siegel (firstname.lastname@example.org)
Yang Cai (email@example.com)
Ambient intelligence technologies include the sensors, procedures, and systems used to create smart environments that respond intelligently to the presence of people. Examples of ambient intelligence environments include smart homes (e.g., smart security systems, health care monitoring, adaptive climatization, personalized entertainment), smart cities (e.g., wireless sensor networks, intelligent air monitoring, adaptive traffic control, personalized transport services), or intelligent vehicles (e.g., adaptive speed adjustment, traffic analysis, pedestrian detection). Recently, the introduction of miniaturized instrumentation, small and general-purpose computing architectures, advanced communication networks, and non-intrusive measurement procedures has fostered the research and development of numerous and innovative ambient intelligence environments able to sense, communicate, and respond intelligently and transparently to the presence of different people.
Marco Parvis (Marco.firstname.lastname@example.org)
Sergio Rapuano (rapuano.unisannio.it)
Medical measurements are an extremely important topic that involves a cooperation among researchers involved in the different fields of medical measurements. This session is focused, among the others, to these topics: Sensors for the measurement of clinical and/or biological parameters; Measurement techniques for athletic performance and physical rehabilitation; Data processing (either conventional or non-conventional); Instrument and procedure characterization; Instrument interoperability and interconnection; Instruments and devices for impaired people.
Jörg Gebhardt (email@example.com)
Digitalization and “Industry 4.0” offer many exciting opportunities for process and manufacturing industries. However, many companies still perceive these trends as a threat. With an ageing and limited work- force, operators of existing process facilities lack technologies and concepts that provide a step by step approach to getting the most out of digitalization. Sensors and innovative sensing concepts have the potential to be the key element of successful digitalization. Enhancing the range and volume of sensed parameters in existing industries coupled with under- standing how to interpret and use the data yields the potential for reduced operating costs and new business models. If these technologies meet the needed performance levels at a reasonable cost, they can significantly lower the barrier for enterprises, large and small, to embrace digitalization. Developing such concepts creates exciting technological challenges, e.g. in the areas of robust low-cost sensing, sensor networks, fusion algorithms, artificial intelligence, self-validation, non-invasive and general model-based sensing.
Paolo Attilio Pegoraro (firstname.lastname@example.org)
Sara Sulis (email@example.com)
- measurements under non-sinusoidal conditions
- measurement uncertainty in the presence of PQ phenomena
- detection of PQ disturbances-classification of PQ disturbances
- voltage and current sensors for PQ measurements
- new standards on PQ measurements
- synchronized measurements at non-system frequency
- measurement uncertainty evaluation in PQ monitoring
- measurements and techniques for harmonic state estimation
- architectures for PQ monitoring-others
Farzana Masouleh (Farzana.Masouleh@measurement.govt.nz)
The International System of Units, known as the SI, is the globally agreed basis for expressing measurements at all levels of precision, and in all areas of science, technology, and human endeavour. The SI is made up of seven base quantities that each correspond to a universally-recognised unit. The SI will undergo a major revision in May 2019 that will be implemented by the international measurement community. This global change involves moving away from material artefacts (e.g. the kilogram prototype in Paris), and instead employing a set of seven defining constants, from which all units can be derived. Adopting the definitions will allow all countries to remain consistent with international best practice and allow precision measurement to be available to everyone. The goal of this Special Session is to raise awareness about this topic to the national and international scientific community.
OrganizeD BY TC-1
Helena Maria Geirinhas Ramos (firstname.lastname@example.org)
Zheng Liu (email@example.com)
The aim of this special session is to promote the advancement of measurement methods and instrumentation that support NDT&E, condition monitoring, diagnostic engineering and structural health monitoring (SHM). This Special Session is also an excellent opportunity to bring together experts from industry, research and academic institutions to discuss and share methods, systems, and devices for NDT&E and foster future collaborations. The topics will cover but are not limited to: Emerging NDT&E techniques, methods and systems; Analytical and numerical modeling of NDT&E; Signal Processing for NDT&E; Imaging and Inversion Techniques for NDT&E; NDT&E in Civil Engineering; Integration of NDT and structural health monitoring (SHM) for predictive maintenance; NDT for permanent monitoring including embedded sensors o Methods and devices to optimize the performance of existing NDT techniques; Innovative industrial applications of NDT&E.
Weihua Li (firstname.lastname@example.org)
Shibin Wang (email@example.com)
Engineering system health monitoring has attracted increasing attention in both academic and industrial communities. Recent advances in the theory and methodology for measurement and data processing have provided viable tools to dealing with the issue of engineering system health monitoring. This invited session is seeking for papers on recent research and development on engineering system health monitoring with theoretical and/or applied nature. Suitable topics for this special session include but are not limited to: New measurement methodology for system health monitoring; Wireless sensor networks; Advanced time scale/frequency analysis; Sparse representation for system health monitoring; Machine learning for intelligent health monitoring and prognosis; Non-linear time series analysis; Other-related topics.
Tuan Guo (firstname.lastname@example.org)
Yuwen Qin (email@example.com)
In recent years, there have been a number of exciting developments that promise to make significant improvements to fiber optic sensing field. The aim of this special session is to survey the current FOSs state-of-the-art, as well as to provide a forum for reporting some of the significant recent advances in this field. Papers reporting about research related to the following topics are welcome: FOSs from fundamentals properties and fabrication approaches to applications; FOSs in specialty optical fibers; Advanced FOSs-based mechanical and physical sensors; Advanced FOSs-based biomedical, chemical and environmental sensors; Integration and packaging of FOSs; Performance of FOSs systems in real environments; Effects of harsh environments on the performance of FOSs systems; Specialized applications of FOSs in oil and gas industry, electric power system, aerospace missions, transport, civil structure, military defense, ocean exploration, biomedical detection, environmental monitoring and other areas; Standardization efforts of FOSs for different industries and applications.