Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

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An interesting attempt is taken to form a hybrid model by integrating Fuzzy Cognitive Map (FCM), the Delphi Method, and the DEMATEL method through the Haar ranking of Hexagonal Fuzzy Number. To examine this model, the problem of solid waste management is taken. Solid waste arises from human and animal activities can generate major health problems and horrible living environment when they are not dumped of safely and appropriately. The proper disposal of solid waste helps to reduce the terrible impacts on both human health and environment to sustain economic growth and better quality of life. Therefore, this present study analyzes the solid waste management through the Haar FCM with DEMATEL technique. © 2021, Springer Nature Singapore Pte Ltd.

Mathematics

School of Advanced Sciences

Chennai Campus

Lecture Notes in Electrical Engineering

Haar FCM with DEMATEL Technique to Analyze the Solid Waste Management

In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, dual objective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO technique embedded in it and used for optimizing economic dispatch problem in this article. DOMSOBAELD method was developed in the form of amalgamating fluids. Presence of power line losses, multiple valves in steam turbines, droop constraints and inhibited zones were utilized to optimize the ELD problem as genuinely approximate as possible. The results obtained from DOSOBAELD are compared with particle swarm optimization (PSO), PSOIW and differential particle swarm optimization (DPSO) techniques. It is quite conspicuous that DOMSOBAELD yielded minimum cost values with most favourable values of real unit outputs. Thus the proposed method proves to be advantageous over other heuristic methods and yields best solution for ELD by selecting incremental fuel cost as the decision variable and cost function as fitness function. © 2021 Institute of Advanced Engineering and Science. All rights reserved.

World University root node

Fulltext

International Journal of Electrical and Computer Engineering

Dual objective multiconstraint swarm optimization based advanced economic load dispatch

Farmers are widely applying chemical pesticides to the agricultural lands to kill weeds to reduce crop losses and to prevent diseases created by insects. By applying pesticides to the lands, typically have greater agricultural yield. As pesticides have toxic ingredients, they can create so many health problems to humans and will degrade the environment gradually. Since each pesticide is linked to some health hazards when the composition of the pesticides exceeds its limits, uncertainty arises in determining the human health hazards. Hence, fuzzy logic-based decision-making model is designed to diagnose the human health hazards. In the model, the linguistic terms are used to represent the association between pesticides and human health hazards with the aid of chemists and physicians. Fuzzy numbers are used to represent the values for the linguistic terms. Therefore, the intent of the paper is to analyze the human health hazards induced by applying different pesticides in the agricultural lands through the proposed fuzzy decision-making system. Copyright © 2020 IGI Global.

Physics

International Journal of Fuzzy System Applications

A fuzzy decision-making system for the impact of pesticides applied in agricultural fields on human health

In this work, concept of virtual cathode and its existence in dusty plasma has been studied by theoretical and numerical analysis. Using basic equations of charge dust, ions, and electrons, the non-monotonic behaviour of the potential in presence of charged dust has been calculated and plotted as a function of dust density. It has been found that there is a change in potential between cathode and sheath potential and subsequently changes the threshold wall temperature as compared to that of without dust conditions. The threshold wall temperature has been increased due to the ability of micro-particles acquiring electron charge and hence, reducing potential at the wall. Further, for different values of α (depends on dust density); threshold temperature remained the same for observed virtual cathode. Hence, behaviour of potential has been plotted as a function of α with increasing wall temperatures for two dust charge values (1 and 1,000). Considering no dust charge, it has been observed that, at lower dust density, double layer like structure is formed near the emissive wall. But this double layer structure gets diminishes with increasing dust density. Hence, below a threshold dust density, virtual cathode near to the emissive wall is not possible. While for Zd = 1,000, the formation of virtual cathode appeared even at very small dust density. However, irrespective of variation of potential difference near the wall and existence of virtual cathode at different emission regime the threshold wall temperature remains same. Effect of dust potential dependency on threshold wall temperature has also been discussed in this study. © 2019 WILEY-VCH Verlag GmbH &amp; Co. KGaA, Weinheim

VIT Unitversity

Contributions to Plasma Physics

Potential profile near the virtual cathode in presence of charged dust

In this modern era, Economic Load Dispatch (ELD) is one of the essential issues of apprehension in power system process and scheduling. The cost function for each unit in ELD problems is resolved by using mathematical or analytical methods in conservative computation. So, the certain ELD problem is signified as a non linear optimization problem having both equality and inequality constraint that cannot be directly solved by conservative analytical techniques. Subsequently, in order to solve this ELD problems evolution of soft computing methods and many other prominent approaches have been successfully implemented such as numerical method, genetic algorithm, evolutionary programming, neural network tactics, particle swarm optimization and some other hybrid methods. Here Ramp Rate constriction facor based PSO algorithm and Electro magnetism based PSO algorithm are proposed and applied for solving ELD problem in this paper. These two PSO techniques are employed in the form of Transmission line losses, valve point loading effect, ramp rate limits and prohibited zones constraints were used to make the results of ELD problem as reasonably approximate as possible in the comparative analysis form. The comparison results which are obtained from RRCPSO and EMPSO are compared with to other heuristic methods like Genetic algorithm (GA) & Taboo search (GATS) method, Artificial intelligence (AI) method, Bacterial Foraging Optimization (BFO) method, Dance Bee Colony Optimization (DBCO) method etc. © 2019 IEEE.

Proceedings - 2019 International Conference on Applied Machine Learning, ICAML 2019

Comparative optimization analysis of ramp rate constriction factor based PSO and electro magnetism based PSO for economic load dispatch in electric power system

Fuzzy numbers play a vital role in all the decision making problems as it represents the value to the linguistic terms which is the input for all the decision making techniques. In the last decade, most of the researchers have used triangular and trapezoidal fuzzy numbers to represent linguistic terms for solving the problem in the uncertain environment. But it is inadequate of dealing a problem when fuzziness arises in seven different points. Therefore, this paper™s intent is to propose the linear and non-linear heptagonal fuzzy number under uncertain environments. This paper derives the Haar ranking method for the heptagonal fuzzy number. Furthermore, Algorithm for the fuzzy assignment problem with Haar ranking is proposed. To check the soundness of the proposed ranking method, Fuzzy assignment problem in agriculture has been taken to determine the minimum cost for organic fertilizers applied in the field. Â© BEIESP.

International Journal of Innovative Technology and Exploring Engineering

Haar ranking of linear and non-linear heptagonal fuzzy number and its application

In this paper, a novel attempt is made to formulate a hybrid system by combining the Fuzzy Cognitive Map (FCM), the Delphi Method, and the VIKOR method through the Haar ranking of Hexagonal Fuzzy Number. To illustrate this technique, the solid waste management is taken. Solid Waste arises from human and animal activities can generate adverse effect on human health and affect the living environment drastically when proper solid waste management is not done efficiently. The proper disposal of solid waste management aids to diminish the horrible impacts on both human health and environment to sustain economic growth and better quality of life. Therefore, this present study analyses the Solid Waste Management through the novel Haar Hexagonal VIKOR with FCM techniques. © BEIESP.

International Journal of Recent Technology and Engineering

Fuzzy haar hexagonal VIKOR with FCM techniques to analyze the solid waste management

A vitality effective protocol configuration is a key testing issue in a network of Wireless Sensor. A portion of the few existing vitality effective protocols plots dependably forward the bundles through the base vitality based ideal course to the sink to limit vitality utilization. It causes a disturbed dispersion of remaining vitality between sensor nodes, which prompts partitioning of the network. The prime objective of this method is to pass the data packets to destination node through the vitality denser range within Sensor Networks Lifetime. The current procedure Energy Balanced Routing Protocol (EBRP) neglects to accomplish Throughput, Delay part, keeping in mind the end goal to enhance the Network Lifetime and Performance so the proficient steering convention is required with the abilities of both the Power Efficient and Power Balancing. To resolve this problem, this manuscript proposed Impediment Sensitive Power Unbiased Dynamic Routing Protocol (ISPUDRP). The proposed steering system accomplishes as far as End-to-End Delay, Throughput and Lifetime of network. This manuscript shows that proposed calculation accomplishes better execution performance than the current strategies.

International Journal of Engineering & Technology

Maximization of Lifetime of Wireless Sensor Network with Sensitive Power Dynamic Protocol

We show that the random Fourier-Stieltjes (RFS) series associated with a stochastic process of independent and symmetric increments whose laws belong to the domain of symmetric stable distribution converges in the mean to a stochastic integral. We also show that the conjugate RFS series converges in the mean to a stochastic integral. Both the series are also shown to be Abel summable.

Kodai Mathematical Journal

Convergence and summability in the mean of random fourier-stieltjes series

For a symmetric stable process X (t, ω) with index α ∈ (1, 2], f ∈ Lp [0, 2 π], p ≥ α, an = frac(1, 2 π) ∫02 π e- i n t f (t) d t and An (ω) = frac(1, 2 π) ∫02 π e- i n t d X (t, ω), we establish that the random Fourier-Stieltjes (RFS) series ∑n = - ∞′ ∞ frac(an An (ω) ei n t, (i n)β) converges in the mean to the stochastic integral frac(1, 2 π) ∫02 π fβ (t - u) d X (u, ω), where fβ is the fractional integral of order β of the function f for frac(1, p) &lt; β &lt; 1 + frac(1, p). Further it is proved that the RFS series ∑n = - ∞′ ∞ frac(an An (ω) ei n t, (i n)β) is Abel summable to frac(1, 2 π) ∫02 π fβ (t - u) d X (u, ω). Also we define fractional derivative of the sum ∑n = - ∞∞ an An (ω) ei n t of order β for an, An (ω) as above and frac(1, p) &lt; 1 - β &lt; 1 + frac(1, p). We have shown that the formal fractional derivative of the series ∑n = - ∞∞ an An (ω) ei n t of order β exists in the sense of mean. © 2007 Elsevier Inc. All rights reserved.