Technical and economic assessment of design efficiency of information and measuring systems

2018

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.1088/1742-6596/944/1/012123
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

A thermodynamic approach to the analysis of information-measuring systems (IMS) is developed in the work.Expressions for efficiency of IMS are obtained.The connection between the amount of processor memory and the amount of incoming information and the accuracy of the IMS is obtained.It is shown that the probability of information loss in IMS decreases with the increase in the amount of information from the object.Using the analogy method, economic aspects of IMS design are considered.The innate ability of IMS and Moore's law are considered.The proposed approach and the resulting formulas will be useful in the design of new IMS.