scholarly journals Patent Portfolio Analysis of the Synergy between Machine Learning and Photonics

Photonics ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 33
Author(s):  
Shu-Hao Chang

Machine learning in photonics has potential in many industries. However, research on patent portfolios is still lacking. The purpose of this study was to assess the status of machine learning in photonics technology and patent portfolios and investigate major assignees to generate a better understanding of the developmental trends of machine learning in photonics. This can provide governments and industry with a resource for planning strategic development. I used data-mining methods (correspondence analysis and K-means clustering) to explore competing technological and strategic-group relationships within the field of machine learning in photonics. The data were granted patents in the USPTO database from 2019 to 2020. The results reveal that patents were primarily in image data processing, electronic digital data processing, wireless communication networks, and healthcare informatics and diagnosis. I assessed the relative technological advantages of various assignees and propose policy recommendations for technology development.

2014 ◽  
Author(s):  
C. Tenzer ◽  
A. Argan ◽  
A. Cros ◽  
Y. Favre ◽  
M. Gschwender ◽  
...  

1971 ◽  
Vol 11 ◽  
pp. 185-187
Author(s):  
J. B. Hutchings

In the past several years many, if not most, observatory microphotometers have been made or adapted to give digital output. At the same time, astronomers have been faced with the task of specifying exactly all the folk lore and experience necessary to reduce microphotometer output, so that the task can be performed by a computer. In addition to the speed and accuracy gains therefore, we have also been obliged to separate the subjective from the objective in this processing, and this may be the most important improvement of all.Knowing that many other observatories have developed similar programming systems, this paper presumably does not contain much that is startlingly new, but it is hoped that it may promote the exchange of ideas desirable to overcome common difficulties and avoid duplication (or multiplication) of effort.


2019 ◽  
Vol 252 ◽  
pp. 03020 ◽  
Author(s):  
Emilia Bachtiak-Radka ◽  
Sara Dudzińska ◽  
Daniel Grochała ◽  
Stefan Berczyński

Digital processing of the recorded point clouds on innovative surfaces could facilitate the operator’s planning of the metrological process and give more freedom in the assessment of the surface texture. The current state of knowledge about surface characteristics, precision and quality of measurements and especially the repeatability of measurements – not only in the laboratory environment but also in the industry pose a big challenge. The paper presents research works related to the identification of the impact of the method of acquisition point clouds using digital data processing on surface texture. The main assumption of the paper was to carry out, according to the prepared plan of the experiment, the series of sample measurements with the use of the optical measuring systems AltiSurf A520 in the Laboratory of Surface Topography at the West Pomeranian University of Technology in Szczecin. The next task was to determine the impact of the digital data processing strategy in order to identify the significance of the impact (conditions and methods of filtration), which in practice largely determines the repeatability and reproducibility of the parameter values of the geometry surface structure.


1999 ◽  
Vol 320 (4-5) ◽  
pp. 377-377 ◽  
Author(s):  
Y. Terada ◽  
M. Tashiro ◽  
T. Takahashi ◽  
Y. Fukazawa ◽  
G. Kawaguchi ◽  
...  

1983 ◽  
Vol 105 (4) ◽  
pp. 232-237 ◽  
Author(s):  
R. J. Thornhill ◽  
C. C. Smith

The frequency sampling theorem is developed and interpreted for a function of frequency which was sampled either directly or indirectly by spectral identification techniques. An example of the results of time aliasing when the frequency resolution is too coarse is presented. A generalized window is developed which implements a zoom inverse discrete Fourier transform for avoiding undesirable time aliasing effects.


2020 ◽  
Vol 39 (11) ◽  
pp. 839-839
Author(s):  
Enders Robinson ◽  
Tijmen Jan Moser

Virgil Bardan was known for his contributions to seismic data acquisition and digital data processing related to inversion, sampling, and multiple attenuation. His numerous publications and erudite presentations, in a career that extended for more than 45 years, established him as a leader in exploration geophysics.


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