A non-invasive liquid integrity monitoring system using dielectric fingerprinting and machine learning to detect and identify contamination in sealed containers is described. The system may employ externally-mounted sensors that measure dielectric properties through electromagnetic interrogation, comparing measurements against baseline signatures to detect deviations indicating contamination, tampering, or degradation. Industry-specific ML models enable identification of specific contaminants with confidence, providing alerts without breaching container integrity.

Globally our environment comprises structures built to perform a meet different requirements including residential, commercial, retail, recreational and service infrastructure. Whilst, millions of tons of construction materials are deployed annually the quality control procedures in many instances have not changed to reflect today's demands. Accordingly, it would be beneficial to provide construction companies, engineering companies, infrastructure owners, regulators, etc. with means to automated testing/characterization of construction materials during at least one of its manufacture, deployment in construction and subsequent infrastructure life. It would be further beneficial for such automated methods to exploit self-contained data acquisition/logging modules allowing them to be employed with ease at the different points in the life cycle of a construction material and/or construction project.

Disclosed is a single-ended test method for the wave-absorbing characteristic of a material. The device comprises a sample cavity, a microwave transmission rod, spring needles, an SMA joint and a vector network analyzer, wherein one end of the sample cavity is provided with a test fixture; the microwave transmission rod is arranged in the sample cavity and is connected with the test fixture in a penetrating mode; the spring needles are arranged in the microwave transmission rod; the SMA joint is arranged at the other end of the sample cavity; the receiving end of the vector network analyzer is electrically connected with a coaxial cable, and the other end of the coaxial cable is electrically connected with the other end of the SMA joint.

The measurement device for measuring permeability and permittivity of an object, includes a probe in which a signal transmission line is formed and on which the object is capable of being disposed close to or in contact with the signal transmission line; a magnetic-field application unit configured to apply a magnetic-field to the object; a signal measurement instrument configured to measure a signal transmitted through the signal transmission line in each state in which the object is disposed and not disposed on the signal transmission line and in each state in which the magnetic-field is applied and not applied; a permeability processing unit configured to obtain the permeability of the object; and a permittivity processing unit configured to obtain the permittivity of the object, the both units obtaining based on the signal transmitted through the signal transmission line in each state in which the magnetic-field is applied and not applied.

A calculation method includes acquiring N matrices corresponding to N sets, each of N matrices being a matrix of a circuit network including first and second terminals, each of N sets being a set of first voltage applied to first terminal and second voltage applied to second terminal, and extracting values of L parameters based on N matrices using a first model of an intrinsic circuit and a second model of a distributed constant circuit. First model is represented by a function of at least one of first voltage and second voltage, each of L/2 impedance elements includes first end connected to one of first to sixth terminals, and second end connected to terminal other than the one of first to sixth terminals, and second model is represented by values of L parameters including two real number parameters related to impedance of each of L/2 impedance elements.