Routing Protocols for Constraint Devices Internet of Things Network

Shahdad, Syed Yasmeen; Khan, Mudassir; Sultana, Habeeba; Hussain, Mohammad A.; Bilfaqih, Syeda Meraj

doi:10.1109/iccsp.2019.8697933

Cited by 12 publications

(2 citation statements)

References 7 publications

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“…It's worth noting that Fuzzy Inference Systems share many components with ANFIS. The ANFIS framework typically comprises five interconnected layers [19,20]. Layer 1 in the ANFIS framework consists of the X1 and X2 inputs, which are referred to as Membership Functions (MFs).…”

Section: Implementation Of Dpfc Integrated To Genetic-anfismentioning

confidence: 99%

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

2023

IRJMETS

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The increasing global demand for electricity has driven the exploration of renewable energy sources to generate power in an environmentally friendly manner. Solar photovoltaic systems and wind-based generators are considered significant sources of renewable energy and are referred to as Distributed Generation units due to their dispersed nature. These units use bidirectional converters to provide auxiliary services on both the grid side and the load side, regardless of the microgrid operation mode. Additionally, DC power generation units are converted into AC systems through inverters. These systems not only introduce voltage and current harmonics and power frequency deviations but also push the distribution system into precarious operating conditions. This underscores the need for advanced control strategies for microgrid architecture.As a result, power electronic converters introduce harmonics into the system, which can impact overall system performance. To address these emerging challenges, the authors have introduced an advanced custom power device called the Distributed Power Flow Controller (DPFC). In this study, the proposed solar-wind hybrid energy system is primarily evaluated using the DPFC mechanism. Subsequently, the system is further assessed using a Genetic Algorithm (GA)-based fuzzy logic controller and a GA-based Adaptive Neuro Fuzzy Inference System (ANFIS) controller for shunt control within the context of the DPFC mechanism. The validity of the results is confirmed through simulations using MATLAB/Simulink software.

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Section: Implementation Of Dpfc Integrated To Genetic-anfismentioning

confidence: 99%

Power Quality Enhancement of Solarwind Grid Connected System Employing Genetic-Based Anfis Controller

2023

IRJMETS

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“…The authors have inspected the big data and their existence in the growing world. Shahdad, S. Y., et al ( 2019) [15] proposed a method Routing Protocols for Constraint Devices to check the consistency of data used for processing. Here the author also discussed the different techniques to route the protocols for different constant devices.…”

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confidence: 99%

Big Data Analytics to Authenticate Bank Notes Using K-Means Clustering

Khan¹,

Alam²

2021

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The main objective of this work is to use the given dataset (about the information of different variables of the different kind of bank notes that were analyzed) in such a way using an algorithm that will group the large values in the data as efficiently as possible into two groups of values then we can use those groups and make a model that can in future identify a forged note from the real ones. Forged banknotes are a major problem that the bank must tackle. It is very important to find a solution to stop this criminal action. One of the most important steps is to be able to identify which banknote is forged. There are many solutions to identify the forged banknote. In this manuscript, we propose one of the solutions to identify the forged banknotes using one of the machine learning methods called "K-Means Clustering".

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