Certification of standard specimens within standards specification and quality assurance system

This paper examines issues pertaining to certification of standard specimens and procedures for standards specification in conformity with existing technical standards documentation.Translated from Izmeritel'naya Tekhnika, No. 8, pp. 54–56, August, 1993.     

Entity-relationship modeling

The entity-relationship (ER) model and its accompanying ER diagrams are widely used for database design and systems analysis. Many books and articles just provide a definition of each modeling component and give examples of the pre-built ER diagrams. As a result, beginners in data modeling have a great deal of difficulty learning how to approach a given problem, what questions to ask in order to build a model, what rules to use while constructing an ER diagram, and why one diagram is better than another. The authors present step-by-step guidelines, a set of decision rules proven to be useful in building ER diagrams, and a case study problem with a preferred answer as well as a set of incorrect diagrams for the problem. These guidelines and decision rules have been successfully used in their beginning database management system course     

New equipment for a continuous heat-treatment line for motor-vehicle gas cylinders

All-Union Scientific-Research Institute of Pipes (VNITI). Il'ich Zhdanov Metallurgical Combine. Translated from Metallurg, No. 9, pp. 39–40, September, 1988.     

Fuzzy support for serodiagnosis: the ONSET program

ONSET derives its diagnosis from the combined evidence of contemporaneous and successive findings, which is in accordance with the behaviour of a clinician. Although it does not increase the diagnostic capabilities in principle, i.e., it cannot perform better than an expert reasoning on the basis of the same knowledge, computational power can be exploited to perform the matches and combine the results with greater precision, resolution, reliability, and transparency. Fundamental improvements of diagnosis, however, can only be expected from better serological tests or increased testing frequency. ONSET relies on domain knowledge explicated in a non-verbalized, analytical form. Knowledge representation-although mathematical-is intuitively clear and easy to conceive, making it equally accessible to both man and machine, and hence subject to objective evaluation and criticism