Measurement Science is the Science of Sciences - There is no Science without Measurement

Abstract

Omnia in mensura et numero et pondere disposuisti is a famous Latin phrase from Solomon's Book of Wisdom, dated to the mid first century BC, meaning that all things were ordered in measure, number, and weight. Naturally, the wisdom is appearing in its relation to man. The Wisdom of Solomon is understood as the perfection of knowledge of the righteous as a gift from God showing itself in action. Consequently, a natural and obvious conjecture is that measurement science is the science of sciences. In fact, it is a basis of all experimental and theoretical research activities. Each measuring process assumes an object of measurement. Some science disciplines, such as quantum physics, are still incomprehensible despite complex mathematical interpretations. No phenomenon is a real phenomenon unless it is observable in space and time, that is, unless it is a subject to measurement. The science of measurement is an indispensable ingredient in all scientific fields. Mathematical foundations and interpretation of the measurement science were accepted and further developed in most of the scientific fields, including physics, cosmology, geology, environment, quantum mechanics, statistics, and metrology. In this year, 2020, Measurement Science Review celebrates its 20th anniversary and we are using this special opportunity to highlight the importance of measurement science and to express our faith that the journal will continue to be an excellent place for exchanging bright ideas in the field of measurement science. As an illustration and motivation for usage and further development of mathematical methods in measurement science, we briefly present the simple least squares method, frequently used for measurement evaluation, and its possible modification. The modified least squares estimation method was applied and experimentally tested for magnetic field homogeneity adjustment.

Feature compensation based on independent noise estimation for robust speech recognition

“…where N * denotes the set which is composed of the top 10% posterior probability. By taking (23) to restore the clean speech feature, the computational expense of the clean speech estimation can be ignored in the proposed feature compensation algorithm.…”

“…This work focuses on the model-based feature compensation [22] and measurement science [23]. In the modelbased feature compensation, the Gaussian mixture model (GMM) is typically employed to represent the distribution of speech features and it is assumed that the noisy speech GMM can be obtained by modifying the mean vectors and covariance matrices of the pre-trained clean speech GMM according to the noise parameters.…”

An Innovative Approach to Surveying the Geometry of Visibility Triangles at Railway Level Crossings

“…Each measuring process assumes an object of measurement. However, each object must be localized in space; in general, there can be no space without objects [ 53 ]. Thus, regardless of the results and their mutual arrangement, it should be remembered that in the case of surveying measurements and continuous or periodic surveying monitoring, the choice of the measurement method and data processing method depends on the nature of the object and specific field conditions [ 54 ].…”

Active Vision Reconstruction Based on Ratio Invariability of Triangle Areas Generated from Triangle Array in Affine Space

“…Therefore, we adopt q pairs of points to determine the infinite line jointly, which reduce the impact of noise on the accuracy of the final reconstruction results. As the line at infinity is an invariant for the affine transform, the affine transform from the projection-distortion-image to the affine-distortionimage is 1 2 3…”

“…Spatial point is the main object in the non-touch applications that deal with the geometrical-value measurement such as part manufacturing [1], [2], traffic guidance [3], [4], scene reconstruction [5], [6], robot control [7], [8], and medical inspection [9], [10]. In the vision-based reconstruction of the 3D point, a camera is a widely used instrument to profile the shape of the 3D object.…”