Standard bullets and casings are currently under development to support the National Integrated Ballistics Information Network (NIBIN) in the U.S. Based on a numerically controlled diamond turning technique, 20 RM 8240 standard bullets were fabricated in 2002. Test results show high repeatability and reproducibility for the bullet signatures on these RM bullets. Prototype standard casings were also manufactured using an electro-forming technique, and are currently under test. These RM bullets and casings are intended for measurement traceability and quality control for ballistics laboratories nationwide.

Methods enabling a determination of errors eI and dI for a high transformation ratio difference between a standard and tested instrument current transformers (ICT) are described in this article. A widespread method uses an automatic transformer test set for the measurement of a difference between a standard and tested ICT. A method transforming secondary currents to voltages and an indirect method using error measurement from magnetizing current are also described.

A measurement process represents a controlled learning process in which various aspects on uncertainty analysis are investigated.
A measurement process is performed if information supplied by it is likely to be considerably more accurate, stable and reliable than the pool of information already available.
The substantial amount of information, got with respect to the conditions prior to the result after the measurement process is performed, can be connected to the "Kullback's principle of minimum cross-entropy".
This, as it is known, is a correct method of inductive inference when no sufficient knowledge about the statistical distributions of the involved random variables is available before the measurement process is carried out except for the permitted ranges, the essential model relationships and some constraints, gained in past experience, valuable usually in terms of expectations of given functions or bounds on them.
In this paper the authors pointed out the connection between the evaluation of the uncertainty in a repeated measurements process and the "Kullback's principle of minimum cross-entropy".

In this work are analysed performance of quality assurance in the Estonian measuring instruments verification laboratories. During last 10 years had Estonia changed completely and this involves also activity on the metrology area. Basic change was case, that on the previous period the verification was mandatory for almost all measuring instruments, now shall it be replaced greatly by voluntary calibration. But verification stays highly required service. Verification area involves mainly measuring instruments which are used in affairs. New is also fact that now-a-days verification laboratories are more commonly private companies and public authorities carry out only market surveillance. To get stability of work laboratory shall implement quality system.
Above was ground for this work and analysed are the quality and competence assurance in the verification laboratories. Based on the accreditation data are analysed the critical points of quality assurance. In a summary is given conclusion of actions which can be used for restructuration of metrological infrastructure especially in measuring instruments verification area.

In our recent papers we have dealt with the assessment of the uncertainties associated with the virtual instrument measurements, proposing two completely different methods. The first one is based on an original application of the "uncertainty propagation law" of the ISO "Guide to the expression of uncertainty in measurement". The second one is a numerical approach, based on the Monte Carlo simulation. In this paper we show how the proposed approaches can be implemented in the virtual instruments in order to make the instrument itself able to auto-estimate the measurement uncertainties.