Comparison of Laguerre-Gaussian, Hermite–Gaussian and linearly polarized modes in SDM over FMF with electrical nonlinear equalizer

The Blockchain technology moves data nodes and data streams from one informatics center to another based on the importance of Bitcoins, resulting in a dedicated, public, and secure network for interpretation and development of the ensuing information chain reaction. Blockchains are frequently formed by connecting interrelated patterns of information in order to conduct a secure transaction. Blockchain has the characteristics of decentralization, transparency, immutability, autonomy, open-source, anonymity, and consensus. Blockchains are being utilized in a variety of real-world applications, including business and economics, financial technology, and digital currencies. This article does a comprehensive review of the literature on blockchain technology. While searching for the keyword "blockchain" as a subject, we identified a total of 1882 entries in these databases. After removing the less common record kinds, the papers were reduced to 1246 articles, which were then used for further investigation.

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“…The main component of blockchain is a distributed network, shared ledger, and digital transactions [17][18][19].…”

Section: Component Of Blockchainmentioning

confidence: 99%

A Systematic Literature Review of Blockchain Technology

Ghazi

Alisawi

Wahab

et al. 2022

Int. J. Interact. Mob. Technol.

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“…This reality contrasts with what is happening in Latin America, where a few initiatives have attempted to systematize the available information that conducted a bibliometric study on scientific production in environmental education; however, it is still pending to analyze the scientific activity on solid waste management [15]. Since in this continent, there is evidence of a large percentage of generation and very few initiatives for proper management [16], this despite having regulations for the comprehensive management of solid waste [17][18][19][20][21][22][23][24][25][26][27]. Therefore, the objective of this research was to analyze the Latin American scientific production on solid waste management in Scopus, period 2010 -2020.…”

Section: Introductionmentioning

confidence: 99%

Latin american production on solid waste management in scopus, 2010 - 2020

Tito-Betancur¹

2021

PEN

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Solid waste management has become a critical problem in developing countries, therefore, with the aim of analyzing the Latin American scientific production on solid waste management in Scopus, a retrospective descriptive study was conducted considering as the unit of analysis the publications on solid waste management in journals indexed in Scopus, during the period 2010 to 2020. The search included all published and indexed articles, using the fields Article Title, Abstracts, Keywords, having as search term the word "Solid waste management". As result, 494 articles were found, of which 420 are original, 58 are reviews, and the rest are letters, editorials, conference papers, and notes. Brazil stands out as the largest producer of solid waste management knowledge (62.5% of Latin American production), followed by Mexico, Colombia, Chile, and Argentina. On the other hand, 158 international institutions have participated in the Latin American production and only 10 have produced more than 10 articles, with universities in Brazil and Mexico standing out. Among the most productive journals, Waste Management and Waste Management And Research stand out; and the researchers with the most publications are Liséte Lange and Sandro Donnini Mancini. It is concluded that research on solid waste management in Latin America in the period 2010 -2020 is still deficient compared to other areas of the environmental field. The Latin American countries with the highest production in this area are Brazil, with more than 50%, followed by Mexico,

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“…Utilising multiple dimensions of photon, researchers have introduced techniques such as wavelength-division multiplexing [7][8][9][10][11] , mode-division multiplexing (MDM) [12][13][14][15] , polarisation-division multiplexing [16][17][18][19] , and time-division multiplexing [20][21][22] to enhance communication capacity. Among these, MDM enables the utilisation of various spatial modes, such as linear polarisation (LP) [23,24] , orbital angular momentum (OAM) [25][26][27] , and vector modes [28][29][30] . The OAM mode, which possesses unique characteristics [31,32] , has gained considerable attention as a focal point in MDM research and found widespread applications in both free-space optical communications [33][34][35][36] and fibre-optic communications [37][38][39] .…”

Section: Introductionmentioning

confidence: 99%

Flexible orbital angular momentum mode switching in multimode fibre using an optical neural network chip

Ruan,

Wan,

Wang

et al. 2024

gxjzz

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Mode-division multiplexing technology has been proposed as a crucialtechnique for enhancing communication capacity and alleviating growing communication demands. Optical switching, which is an essential component of optical communication systems, enables information exchange between channels. However, existing optical switching solutions are inadequate for addressing flexible information exchange among the mode channels. In this study, we introduced a flexible mode switching system in a multimode fibre based on an optical neural network chip. This system utilised the flexibility of on-chip optical neural networks along with an all-fibre orbital angular momentum (OAM) mode multiplexer-demultiplexer to achieve mode switching among the three OAM modes within a multimode fibre. The system adopted an improved gradient descent algorithm to achieve training for

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Comparison of Laguerre-Gaussian, Hermite–Gaussian and linearly polarized modes in SDM over FMF with electrical nonlinear equalizer

Cited by 10 publications

References 24 publications

A Systematic Literature Review of Blockchain Technology

A Systematic Literature Review of Blockchain Technology

Latin american production on solid waste management in scopus, 2010 - 2020

Flexible orbital angular momentum mode switching in multimode fibre using an optical neural network chip

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