Prices of Basic Industrial Products in the U.S.S.R., 1928-50

1956 ◽  
Vol 64 (4) ◽  
pp. 303-328 ◽  
Author(s):  
Abram Bergson ◽  
Roman Bernaut ◽  
Lynn Turgeon
Keyword(s):  
Industrial Products

Critical Success Factors in Russian R&D Projects in the Real Economy

2010 ◽  
pp. 41-61
Author(s):  
V. Andreev
Keyword(s):  
Empirical Research ◽  
Critical Success Factors ◽  
Success Factors ◽  
Innovation Process ◽  
Real Economy ◽  
Key Factors ◽  
Industrial Products ◽  
Successful Development ◽  
The Real ◽  
Critical Success

The article discusses the concept of "success" in relation to innovative business and its performance. The quantity of innovative projects that can consistently overcome the stages of the innovation process to achieve the desired result is defined. The author presents the results of empirical research of successful and unsuccessful projects of leading Russian innovative companies in various industries, identifies key factors of successful development of new industrial products.

Manufacture of industrial products using electron beam technologies for 3D-printing

2018 ◽  
Vol 2018 (1) ◽  
pp. 24-28 ◽  
Author(s):  
V.M. Nesterenkov ◽  
◽  
V.A. Matvejchuk ◽  
M.O. Rusynik ◽  
◽  
...  
Keyword(s):  
Electron Beam ◽  
3D Printing ◽  
Industrial Products

SWISSMETAL C97 AND C98

Alloy Digest ◽  
2008 ◽  
Vol 57 (10) ◽  
Keyword(s):  
Electrical Conductivity ◽  
Corrosion Resistance ◽  
Physical Properties ◽  
Tensile Properties ◽  
Cold Working ◽  
High Strength ◽  
Heat Treating ◽  
High Electrical Conductivity ◽  
Industrial Products

Abstract Swissmetal alloys C97 and C98 attain high strength by aging after cold working. The alloys are free machining and maintain a high electrical conductivity. This datasheet provides information on composition, physical properties, hardness, elasticity, and tensile properties. It also includes information on corrosion resistance as well as forming, heat treating, machining, and joining. Filing Code: CU-759. Producer or source: Avins Industrial Products.

The impact of database research on industrial products (panel)

1994 ◽  
Vol 23 (3) ◽  
pp. 35-40 ◽  
Author(s):  
José A. Blakeley ◽  
Dan Fishman ◽  
David Lomet ◽  
Michael Stonebraker
Keyword(s):  
Industrial Products ◽  
Database Research ◽  
The Impact

scholarly journals Intelligent Dynamic Identification Technique of Industrial Products in a Robotic Workplace

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1797
Author(s):  
Ján Vachálek ◽  
Dana Šišmišová ◽  
Pavol Vašek ◽  
Jan Rybář ◽  
Juraj Slovák ◽  
...  
Keyword(s):  
Machine Learning ◽  
Control Charts ◽  
Nearest Neighbor ◽  
Learning Algorithm ◽  
Conveyor Belt ◽  
Standard Uncertainty ◽  
K Nearest Neighbor ◽  
Industrial Products ◽  
Dynamic Identification ◽  
Identification Technique

The article deals with aspects of identifying industrial products in motion based on their color. An automated robotic workplace with a conveyor belt, robot and an industrial color sensor is created for this purpose. Measured data are processed in a database and then statistically evaluated in form of type A standard uncertainty and type B standard uncertainty, in order to obtain combined standard uncertainties results. Based on the acquired data, control charts of RGB color components for identified products are created. Influence of product speed on the measuring process identification and process stability is monitored. In case of identification uncertainty i.e., measured values are outside the limits of control charts, the K-nearest neighbor machine learning algorithm is used. This algorithm, based on the Euclidean distances to the classified value, estimates its most accurate iteration. This results into the comprehensive system for identification of product moving on conveyor belt, where based on the data collection and statistical analysis using machine learning, industry usage reliability is demonstrated.

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