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56 articles for “stochastic”
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Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
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Modelling & Simulation Of Fuzzy Logic Based Controller For Energy Storage System
Abstract: AbstractThe problem of transient stability in multimachine model is a semi-infinite optimization problem for nonlinear phenomenon in network of energy storage system. As this involves several sets of differential equations and algebraic constraints; therefore the application of several mathematical programming techniques won’t be enough to solve the problem. In the past several ad hoc algorithms had been proposed. This study presents a new methodology to restore the transient stability by …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 9–15 Read article
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Analysis and Design of Coaxial Fed Microstrip Antenna on Multilayer substrate at Terahertz Frequency
Abstract: AbstractThe paper presents the performance of an antenna on a three-layered substrate material analyzed to enhance the electrical parameters such as bandwidth and gain of a microstrip antenna. A regular rectangular microstrip antenna design has been updated to a planar parabolic horn design for improving bandwidth to up to 30 times provided by a rectangular patch. The design has been simulated at 0.6 THz resonant frequency using Keysight’s ADS (Advanced …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 3, 2017 · pp. 11–14 Read article
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A Review of Genetic Algorithm for Optimization of Hybrid Protocols for Wireless Sensor NetworkA Review of Genetic Algorithm for Optimization of Hybrid Protocols for Wireless Sensor Network
Abstract: AbstractWireless sensor network is a well-known technology. Resent development in the wireless technology open gates for making an efficient wireless network with no or very infrastructure. Wireless sensor network uses battery power to energize sensor nodes. Due to small size of sensor node, we cannot put big battery that is why it is very important to optimize the protocols to save energy. There are various techniques to optimize the WSN …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 1–5 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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A Similarity Analysis between Linear Multiracial Feature and Non-linear Multiscale Texture in Detection and Segmentation at Brain Tumor
Abstract: The panorama of the stochastic model, i.e., Random model, is called cancer. In that cancer contain benign and malign cells among that the vulnerable is rapid growth of malign cells lead to jeopardy. According to existing system the MRI fetches with multiresolution fractal (linear) model known as multi-fractional Brownian motion method but the flavor of proposed system may be interesting to keep contourlet transform and genetic algorithm for feature selection …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Reliability of Software System: A Particle Swarm Approach
Abstract: AbstractSoftware reliability engineering is focused on engineering techniques for developing and maintaining software systems whose reliability can be quantitatively evaluated. In order to estimate and predict the reliability of software system, failure data needs to be properly measured by various means during software development operational phases. Moreover, software reliability models are required to track underlying software failure processes for accurate reliability analysis and forecasting. Generally, software reliability is indicated by …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 1, 2019 · pp. 7–12 Read article
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Metaheuristics in Big Data: A Review Paper
Abstract: Metaheuristics encompass a very wide range of algorithm, all having very different underlying principles. But all these algorithms are stochastic in nature. Big data is an emerging field. Big data has some of its own problems, some of them being the optimization problems. This paper gives a brief glimpse of metaheuritics and its algorithm, big data and its corresponding fields. In the last section we also explain how these algorithms …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 33–44 Read article
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Problem of pricing American Fuzzy Put Option Buyer’s Model for general Trapezoidal Fuzzy Numbers
Abstract: Fuzzy American put option pricing in both discrete and continuous time by using fuzzy random variables and fuzzy expectation based on the decision maker's subjective judgement was studied by Yoshida. American Fuzzy Put Option Model (AFPOM) based on fuzzy risk-neutral probability measure was defined by Muzzioli and Reynaerts using non-overlapping trapezoidal fuzzy numbers. In this study, we introduce a new fuzzy risk-neutral probability measure for a more general class of …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 27–37 Read article
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Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
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Detecting Electronic Circuitboard Thermal Abnormalities with Dynamic Hypernumbers
Abstract: This paper introduces the algebra of data acquisition using dynamic hypernumbers used in predicting thermal abnormalities with a rapid forecasting algorithm. Algebraic rules are defined for monitoring data from multiple sources. Each data source is considered a dynamic receptive synchronized hypernumber for building the resulting dynamic hypernumber. The algebraic dynamic hypernumberdefinition is used to present a low-complexity algorithm for identifying the thermal state of an electronic circuit board. The algorithm …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 3, 2023 · pp. 10–24 Read article
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Audio De-noising using Adaptive Inertia Weight Particle Swarm Optimization Algorithm (AIW-PSO)
Abstract: There has been a lot of research in Audio de-noising so far but scope for improvement is always there. The motivation to use AIW-PSO algorithm as a possible alternative is to explore new ways to reduce global cost and to achieve better noise reduction performance. Particle swarm optimization is a heuristic stochastic evolutionary algorithm. However, standard PSO provides unbalanced exploration and exploitation. This paper presents a methodology to improve the …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 11–18 Read article
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Land Use Land Cover Change Detection and Forecasting for Tiruchirappalli City Using Remote Sensing and GIS
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE Land use Land cover (LU/LC) change has taken place in Tiruchirappalli city in Tamil Nadu, India over the past two decades due to induced industrialization and urbanization. In this paper, LU/LC change dynamics were studied by the combined use of remote sensing, geographical information system (GIS) and stochastic modelling technologies. The different land use categories and their spatial and temporal variability in …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 · pp. 21–32 Read article
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Diatom Assemblages in Soil: Implications in Palaeo-Ecological Interpretations
Abstract: AbstractDiatoms are microscopic, unicellular, eukaryotic algae belonging to the Class Bacillariophyceae which are abundant in most aquatic habitats and serve as useful proxies for multi-dimensional analysis of ecosystems. They inhabit waters and soils of both saline and freshwater areas. Diatoms as primary producers are vital for life on Earth, serve as significant source of oxygen, have major impact on global carbon cycle and are food source for many organisms at …
Published in Research & Reviews : Journal of Botany · Vol. 4, Issue 1, 2015 · pp. 16–25 Read article
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Fractality of Magnetospheric Dynamics: A Diffusion Entropy Approach
Abstract: There are several self-organization processes in physics such as second-order phase transitions and associated scale-invariant phenomena, structure formation in thermodynamic systems away from equilibrium, self-organization of solitons into vortices in magnetized plasma etc. Space plasmas often display very complex behavior which includes multiscale dynamics, spatio-temporal chaos and self-organized criticality. The study of self-organization in magnetospheric plasma and its relation with instabilities is a subject at the forefront of space research …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 44–53 Read article