The Teaching of Measurement and Instrumentation for Industrial Needs

1969 ◽  
Vol 2 (10) ◽  
pp. 377-380

Held in January, 1969, this symposium most aptly emphasised the necessity for the closest collaboration between the universities and industry at all levels for education in the inter-disciplinary subject of measurement and control. The important thing is that control cannot be accomplished in reality without the basis of a sound knowledge of the science of measurement. Furthermore educational outlook must be focused on the immense possibilities that exist in research in measurement techniques and also in the development of the refinements that are demanded by the requirements of modern industry. The papers which follow present, except for the first which ended the presentation of ‘Industrial Requirements’, the ‘Academic Viewpoint’

2016 ◽  
Vol 100 (1) ◽  
pp. 201-219
Author(s):  
Edward Nowak ◽  
Ryszard Malarski ◽  
Witold Prószyński ◽  
Alicja Sadowska ◽  
Marek Woźniak ◽  
...  

Abstract Geodetic engineering surveys are an important part of the works carried out by the Faculty of Geodesy and Cartography, Warsaw University of Technology. These works concern measurement techniques as well as advanced result analysis methods applied in precise industrial surveys and in processes controlling object’s behaviour over time. The thematic scope of research realised by Chair of Engineering Geodesy and Control-Measuring Systems shows that article related to geodetic engineering measurements and geodetic monitoring is carried out with high intensity, resulting in technological advancement and implementation of new or improved measurement solutions and methods of measurement result development.


2001 ◽  
Author(s):  
G. Mainelis ◽  
R. Gorny ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
...  

2013 ◽  
Vol 62 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Maria Mrówczyńska

Abstract The paper attempts to determine an optimum structure of a directional measurement and control network intended for investigating horizontal displacements. For this purpose it uses the notion of entropy as a logarithmical measure of probability of the state of a particular observation system. An optimum number of observations results from the difference of the entropy of the vector of parameters ΔHX̂ (x)corresponding to one extra observation. An increment of entropy interpreted as an increment of the amount of information about the state of the system determines the adoption or rejection of another extra observation to be carried out.


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