Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
- Highlight the novelty of your work and what it contributes to: methods or instruments for measurement, detection, tracking, monitoring, characterization, identification, estimation, or diagnosis of a physical phenomenon; uniqueness of an application furthering the I&M fields; or measurement theory including uncertainty, calibration, etc. Ideally, this should be made clear in the abstract and/or the introduction.
Position your work clearly in the context of relevant published literature in the field (I&M) and its body of knowledge. There are a number of way this may be accomplished, such as
- Comparison of your work (analytical and/or experimental) and its uniqueness and/or advantages over related previous works published in the existing I&M literature. For example, the primary focus of the following journals is on the I&M field: IEEE TIM, Measurement Science and Technology, Elsevier's Measurement journal, Metrologia, Review of Scientific Instruments, Measurement Science Review, Metrology and Measurement Systems, Journal of Instrumentation, etc.
- Clear description of novelties and advances in the I&M context, if your work is completely new to the I&M field.
In addition, for your benefit, we have prepared some Topical Guides that explain how research in certain related fields, such as Image Processing, Computational Intelligence, Medical and Biomedical Engineering, Navigation, and Communication Systems should be properly presented in an I&M context.