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Wyszukujesz frazę "information encoding" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Concealing information in security hologram using interferometry
Autorzy:
Sharma, Amit Kumar
Chauhan, Prashant
Varshney, Anshu D.
Powiązania:
https://bibliotekanauki.pl/articles/2172832.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
hologram
security hologram
encoded hologram
information encoding
concealed phase
Opis:
A new method utilizing holographic interferometry technique is described to conceal information in security holograms for enhancing their anti-counterfeiting ability. This concealed information can only be imitated if security hologram is illuminated through correct decoding wavefront generated through a key hologram. In decoding process, three spatially separated focus spots emerge at predefined positions which upon divergence further generate interferometric fringes modulated with concealed information in them. When security hologram is perfectly aligned, interferometric fringes disappear and concealed information becomes visible. The advantage of encoding through this technique lies in the fact that relative repositioning of key and security hologram becomes much easier and also additionally brings multifold improvement in the security level of the verification systems.
Źródło:
Optica Applicata; 2022, 52, 3; 385--394
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural Networks in the Framework of Granular Computing
Autorzy:
Pedrycz, W.
Powiązania:
https://bibliotekanauki.pl/articles/911146.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
kodowanie
dekoder
sieć neuronowa
przedstawienie wiedzy
information granulation
pyramid architectures
encoding and decoding
neural networks
learning
knowledge representation
Opis:
The study is concerned with the fundamentals of granular computing and its application to neural networks. Granular computing, as the name itself stipulates, deals with representing information in the form of some aggregates (embracing a number of individual entitites) and their ensuing processing. We elaborate on the rationale behind granular computing. Next, a number of formal frameworks of information granulation are discussed including several alternatives such as fuzzy sets, interval analysis, rough sets, and probability. The notion of granularity itself is defined and quantified. A design agenda of granular computing is formulated and the key design problems are raised. A number of granular architectures are also discussed with an objective of dealineating the fundamental algorithmic and conceptual challenges. It is shown that the use of information granules of different size (granularity) lends itself to general pyramid architectures of information processing. The role of encoding and decoding mechanisms visible in this setting is also discussed in detail along with some particular solutions. Neural networks are primarily involved at the level of numeric optimization. Granularity of information introduces another dimension to the neurocomputing. We discuss the role of granular constructs in the design of neural networks and knowledge representation therein. The intent of this paper is to elaborate on the fundamentals and put the entire area in a certain perspective while not moving into specific algorithmic details.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 723-745
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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