scholarly journals Technical Study on 5G Using Soft Computing Methods

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
J. Divakaran ◽  
Somashekhar Malipatil ◽  
Tareeq Zaid ◽  
M. Pushpalatha ◽  
Vilaskumar Patil ◽  
...  
Keyword(s):  
Soft Computing ◽  
Mobile Networks ◽  
Fuzzy Systems ◽  
High Performance ◽  
Data Transfer ◽  
Computing Methods ◽  
Fuzzy Logic Systems ◽  
Telecommunication Systems ◽  
Wireless Telecommunication ◽  
Comprehensive Survey

With increasing advancements in the field of telecommunication, the attainment of a higher data transfer rate is essentially a greater need to meet high-performance communication. The exploitation of the fuzzy system in the wireless telecommunication systems, especially in Fifth Generation Mobile Networks (or) 5G networks is a vital paradigm in telecommunication markets. A comprehensive survey is dealt in the paper, where it initially reviews the basic understanding of fuzzy systems over 5G telecommunication. The literature studies are collected from various repositories that include reference materials, Internet, and other books. The collection of articles is based on empirical or evidence-based from various peer-reviewed journals, conference proceedings, dissertations, and theses. Most of the existing soft computing models are streamlined to certain applications of 5G networking. Firstly, it is hence essential to provide the readers to find research gaps and new innovative models on wide varied applications of 5G. Secondly, it deals with the scenarios in which the fuzzy systems are developed under the 5G platform. Thirdly, it discusses the applicability of fuzzy logic systems on various 5G telecommunication applications. Finally, the paper derives the conclusions associated with various studies on the fuzzy systems that have been utilized for the improvement of 5G telecommunication systems.

scholarly journals Fuzzy logic research work in Mexico motivated by Lotfi Zadeh

2021 ◽  
Vol 27 (2) ◽  
pp. 1-10
Author(s):  
Oscar Castillo ◽  
◽  
Patricia Melin ◽  
Keyword(s):  
Fuzzy Logic ◽  
Soft Computing ◽  
Fuzzy Systems ◽  
Intelligent Systems ◽  
High Performance ◽  
Research Work ◽  
Short Review ◽  
Swarm Algorithms ◽  
Soft Computing Techniques

We provide in this article a short review of the research work that has been done in Mexico on developing new methods and theory for designing intelligent systems utilizing type-2 fuzzy systems in combination with soft computing techniques. Soft Computing (SC) is an area formed by intelligent paradigms, like fuzzy systems, neural networks, and bio-inspired and swarm algorithms, which may be utilized to build high performance hybrid systems. The combination of type-2 fuzzy systems with SC enables the constructing of efficient intelligent systems for solving complex problems in a wide diversity of areas, such as control, pattern recognition, medical diagnosis and others. We also recall some of the main moments and memories of encounters and meetings with the father of fuzzy logic (Prof. L. Zadeh), which were very positive and motivated us to continue his work and legacy.

scholarly journals Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1049 ◽  
Author(s):  
Adrienn Dineva ◽  
Amir Mosavi ◽  
Sina Faizollahzadeh Ardabili ◽  
Istvan Vajda ◽  
Shahaboddin Shamshirband ◽  
...  
Keyword(s):  
Soft Computing ◽  
High Performance ◽  
Computing Methods ◽  
Electrical Machines ◽  
Wide Range ◽  
Soft Computing Techniques ◽  
Energy Conversion Systems ◽  
Electromechanical Energy ◽  
Soft Computing Methods ◽  
And Control

Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.

scholarly journals Frequency Division Multiplexing of Terahertz Waves Realized by Diffractive Optical Elements

2021 ◽  
Vol 11 (14) ◽  
pp. 6246
Author(s):  
Paweł Komorowski ◽  
Patrycja Czerwińska ◽  
Mateusz Kaluza ◽  
Mateusz Surma ◽  
Przemysław Zagrajek ◽  
...  
Keyword(s):  
Frequency Division Multiplexing ◽  
Diffractive Optical Elements ◽  
Frequency Division ◽  
Terahertz Waves ◽  
Optical Elements ◽  
Telecommunication Systems ◽  
Wide Range ◽  
The Future ◽  
Wireless Telecommunication ◽  
Finite Distance

Recently, one of the most commonly discussed applications of terahertz radiation is wireless telecommunication. It is believed that the future 6G systems will utilize this frequency range. Although the exact technology of future telecommunication systems is not yet known, it is certain that methods for increasing their bandwidth should be investigated in advance. In this paper, we present the diffractive optical elements for the frequency division multiplexing of terahertz waves. The structures have been designed as a combination of a binary phase grating and a converging diffractive lens. The grating allows for differentiating the frequencies, while the lens assures separation and focusing at the finite distance. Designed structures have been manufactured from polyamide PA12 using the SLS 3D printer and verified experimentally. Simulations and experimental results are shown for different focal lengths. Moreover, parallel data transmission is shown for two channels of different carrier frequencies propagating in the same optical path. The designed structure allowed for detecting both signals independently without observable crosstalk. The proposed diffractive elements can work in a wide range of terahertz and sub-terahertz frequencies, depending on the design assumptions. Therefore, they can be considered as an appealing solution, regardless of the band finally used by the future telecommunication systems.

Fuzzy System for DOA Estimation of Coherent Signals

2013 ◽  
Vol 427-429 ◽  
pp. 575-581
Author(s):  
Ya Ling Chen ◽  
Chien Chou Lin
Keyword(s):  
Fuzzy System ◽  
High Performance ◽  
Expert Knowledge ◽  
Doa Estimation ◽  
Coherent Signals ◽  
Fuzzy Logic Systems ◽  
Significant Performance ◽  
And Performance ◽  
Low Sensitivity ◽  
Resolution Estimation

This paper presents an efficient direction-of-arrival (DOA) Estimator for dealing with coherent signals. The empirical results show that significant performance degradation occurs when coherent signals coexist. Therefore, an utilizes the low sensitivity of Bartlett algorithm in estimation of DOAs for coherent signals to yield a low-resolution estimation of DOAs as initial search angle and uses fuzzy logic systems with incorporating expert knowledge to improve the resolution and performance of estimation of DOAs in coherent signals environment. Finally, numerical example was analyzed to illustrate high performance of the proposed method and to confirm the designed procedure.

scholarly journals Evaluation of several soft computing methods in monthly evapotranspiration modelling

2017 ◽  
Vol 25 (1) ◽  
pp. 128-138 ◽  
Author(s):  
Siavash Gavili ◽  
Hadi Sanikhani ◽  
Ozgur Kisi ◽  
Mohammad Hasan Mahmoudi
Keyword(s):  
Soft Computing ◽  
Computing Methods ◽  
Soft Computing Methods
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