Apu Kumar Saha | National Institute of Technology, Agartala (original) (raw)

Papers by Apu Kumar Saha

The organization of safe and sustainable sources of water remains a priority for decision makers ... more The organization of safe and sustainable sources of water remains a priority for decision makers around the world. The centrality of water in public health as well as in industry creates a high demand for water supply of suitable quality that many nations around the world are harassed to meet. In India, in particular, water shortages and poor water quality continue to be major challenges in both domestic and industrial sectors. That is why, the evaluation of the performance efficiency of the existing water treatment plant is essential. This paper utilizes the Non-structural Fuzzy Decision Support System (NSFDSS) as well as Artificial Neural Network (ANN) to identify the parameter that is most significant in helping the decision makers to build an efficient water treatment plant operating system. Keywords Water Treatment Plant, MCDM, NSFDSS, ANN

Cognitive Computation, 2022

Backtracking search algorithm (BSA) is a nature-based optimization technique extensively used to ... more Backtracking search algorithm (BSA) is a nature-based optimization technique extensively used to solve various real-world global optimization problems for the past few years. The present work aims to introduce an improved BSA (ImBSA) based on a multi-population approach and modified control parameter settings to apprehend an ensemble of various mutation strategies. In the proposed ImBSA, a new mutation strategy is suggested to enhance the algorithm's performance. Also, for all mutation strategies, the control parameters are updated adaptively during the algorithm's execution. Extensive experiments have been performed on CEC2014 and CEC2017 single-objective benchmark functions, and the results are compared with several state-of-the-art algorithms, improved BSA variants, efficient differential evolution (DE) variants, particle swarm optimization (PSO) variants, and some other hybrid variants. The nonparametric Friedman rank test has been conducted to examine the efficiency of the proposed algorithm statistically. Moreover, six real-world engineering design problems have been solved to examine the problem-solving ability of ImBSA. The experimental results, statistical analysis, convergence graphs, complexity analysis, and the results of real-world applications confirm the superior performance of the suggested ImBSA.

The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different ... more The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different types of industrial, agricultural and domestic units. The functionality of WTP is responsible for sustaining the condition of public health specifically for urban based units. It indicates that all the methods assign equal importance to each of the variables. That’s why procedures lack the ability to adapt with situations. In this aspect, the present investigation utilized MCDM and ANN in a cascaded framework to assess the plant performance based on Removal Efficiency, Energy Required, Operation and Maintenance Cost and Impact on Environment.The current research is an endeavour to implement the factors in amalgamation so that an extensive envision of the plant performance can be concluded. The new method is used to estimate the performance of WTP under 20 likely and unlikely scenarios. Model results were compared with the evaluation results from "Removal Efficiency" method and ...

Computación y Sistemas, 2021

A new pandemic disease named as novel corona virus disease (COVID-19) was discovered during end o... more A new pandemic disease named as novel corona virus disease (COVID-19) was discovered during end of 2019 in Wuhan city of China and was quickly spread throughout the globe. But, till now no medicine is available to fight against the infection caused by the disease. The infection may also be transmitted easily from person to person through highly infectious nasal droplets when a healthy person comes in contact with a distance of less than 1m from the affected person. The doctors, physicians as well as nurses consult the patients very closely to assess the health conditions of the affected persons and there is a great chance that they may carry infection from them. In this work, we have proposed an intelligent mask to assist COVID-19 patients/doctors/nurses with an innovative SensMask to address this issue. This mask contains GPS sensor, IR proximity sensor, walk sensor and FS5 sensor. All patients need to wear this mask to observe the health details. Such sensors monitor health data from patients and send it to the cloud through the home/hospital-based local cloudlet. The cloudlet information is used by physicians for further diagnosis of patients. This proposed approach was simulated and the results obtained indicate that it helps in maximizing throughput and reduced delay.

Indonesian Journal of Electrical Engineering and Computer Science, 2021

Quantum-dot cellular automata (QCA) gained a notable attraction in the emerging nanotechnology to... more Quantum-dot cellular automata (QCA) gained a notable attraction in the emerging nanotechnology to get the better of power consumption, density, nano-scale design, the performance of the present CMOS technology. Many designs had been proposed in QCA for an arithmetic circuit like adder, divider, parity checker and comparator etc. Most of the designs have been facing the challenges of cost efficiency, power dissi-pation, device density etc. However, consideration of design automation, underlying clocking layout and integration of the sub modules are the most important which has a direct impact on the fabrication of the design. This work proposed a novel cost ef-fective and power aware comparator design, which is an essential segment in central processing unit (CPU). The noticeable novelty of the design was the use of underlying regular clocking scheme. A new scalable, regular clocking scheme has been utilized in the coplanar design of the comparator which enables regular or uniform ce...

The motto of the present treatise is to introduce and characterize the concept of n-infy induced ... more The motto of the present treatise is to introduce and characterize the concept of n-infy induced fuzzy topological spaces generated by normal lower semi-continuous functions. Examples of n-infy induced fuzzy topological spaces are given and its properties are studied. Interrelationship between the newly defined induced spaces and their corresponding topological spaces are examined.

Computers in Biology and Medicine, 2021

Coronavirus disease 2019 (COVID-19) has caused a massive disaster in every human life field, incl... more Coronavirus disease 2019 (COVID-19) has caused a massive disaster in every human life field, including health, education, economics, and tourism, over the last year and a half. Rapid interpretation of COVID-19 patients' Xray images is critical for diagnosis and, consequently, treatment of the disease. The major goal of this research is to develop a computational tool that can quickly and accurately determine the severity of an illness using COVID-19 chest X-ray pictures and improve the degree of diagnosis using a modified whale optimization method (WOA). To improve the WOA, a random initialization of the population is integrated during the global search phase. The parameters, coefficient vector (A) and constant value (b), are changed so that the algorithm can explore in the early stages while also exploiting the search space extensively in the latter stages. The efficiency of the proposed modified whale optimization algorithm with population reduction (mWOAPR) method is assessed by using it to segment six benchmark images using multilevel thresholding approach and Kapur's entropy-based fitness function calculated from the 2D histogram of greyscale images. By gathering three distinct COVID-19 chest X-ray images, the projected algorithm (mWOAPR) is utilized to segment the COVID-19 chest X-ray images. In both benchmark pictures and COVID-19 chest X-ray images, comparisons of the evaluated findings with basic and modified forms of metaheuristic algorithms supported the suggested mWOAPR's improved performance.

Knowledge-Based Systems, 2021

Materials Today: Proceedings, 2021

Abstract Quantum dot Cellular Automata (QCA) are a prominent nanotechnology that is widely employ... more Abstract Quantum dot Cellular Automata (QCA) are a prominent nanotechnology that is widely employed in digital circuits and systems. In comparison to complementary metal–oxide semiconductor (CMOS) technology, QCA is a remarkable and challenging alternative with many attractive aspects such as fast execution and low power use. To accomplish all arithmetic processes, code converters are the fundamental unit of information change. Most of the converters, out of many designed for far in QCA, did not considered temperature stability, energy dissipation which may contribute to propagate as a non-operational circuit in various temperatures. This paper proposes a novel concept for a binary-to-gray code and a BCD-to-Excess 3 code converter based on QCA. The promised structure diminishes the number of cells, area utilized to make the design cost effective. The fundamental purpose of this research is to give a temperature stable and energy efficient converter design. The operability of the introduced design is verified with the QCADesigner2.0.3 tool and the temperature stability factor and energy waste are evaluated with QCADesignerE2.0.3.

Computers & Industrial Engineering, 2021

International Journal of Modeling, Simulation, and Scientific Computing, 2020

The population-based efficient iterative evolutionary algorithm (EA) is differential evolution (D... more The population-based efficient iterative evolutionary algorithm (EA) is differential evolution (DE). It has fewer control parameters but is useful when dealing with complex problems of optimization in the real world. A great deal of progress has already been made and implemented in various fields of engineering and science. Nevertheless, DE is prone to the setting of control parameters in its performance evaluation. Therefore, the appropriate adjustment of the time-consuming control parameters is necessary to achieve optimal DE efficiency. This research proposes a new version of the DE algorithm control parameters and mutation operator. For the justifiability of the suggested method, several benchmark functions are taken from the literature. The test results are contrasted with other literary algorithms.

Decision Science Letters, 2019

Stochastic optimization algorithm provides a robust and efficient approach for solving complex re... more Stochastic optimization algorithm provides a robust and efficient approach for solving complex real world problems. Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a hybrid approach combining the BSA and Quadratic approximation (QA), called HBSAfor solving unconstrained non-linear, non-differentiable optimization problems. For the validity of the proposed method the results are compared with five state-of-the-art particle swarm optimization (PSO) variant approaches in terms of the numerical result of the solutions. The sensitivity analysis of the BSA control parameter (F) is also performed. .

International Journal of Computer Mathematics, 2019

This paper examines the effect of heterogeneous chemical reaction on the transport of a solute in... more This paper examines the effect of heterogeneous chemical reaction on the transport of a solute in a Casson fluid flow through an annular pipe under a periodic pressure gradient. Aris–Barton's method of moments is employed to understand the transport process. A finite difference implicit scheme is utilized to solve the momentum equation as well as the integral moment equation arising from the unsteady convective diffusion equation. Using the Hermite polynomial representation, the mean concentration distribution in the axial direction is acquired from the first four central moments. The transport phenomenon is discussed by three transport coefficients, namely exchange, advection, and dispersion coefficients owing to wall reactions, yield stress, radius ratio, etc. The present study can, therefore, be helpful to understand the transport process in blood flow through arteries.

International Journal of Heat and Technology, 2019

The present investigation deals with Taylor dispersion of reactive species in Casson liquid in an... more The present investigation deals with Taylor dispersion of reactive species in Casson liquid in an oscillatory flow because of the pulsatile pressure gradient. The solute is considered to be chemically active at the boundary and also participate a first order reaction within the bulk flow. To evaluate transport coefficients, Aris-Barton moment technique is considered. The solute transport process is discoursed in detailed with respect to yield stress, chemical reaction parameter, Womersly number etc. The study reveals that both wall absorption and bulk flow reaction have a significant response on dispersion phenomena. Both the chemical reactions agree to diminish the negative exchange coefficient and the apparent dispersion coefficient, however, increases the negative convection coefficient. The negative exchange coefficient is independent of yield stress but a significant variation is observed due to yield stress in the cases of negative convection coefficient and the apparent dispersion coefficient. The axial distribution of mean concentration is approximated by using the Hermite polynomial representation of central moments as a function of reaction rate parameters, wall absorbing parameter, yield stress etc. The present article may be useful for the studies related to physiological blood flow analysis.

Advances in Civil Engineering, 2018

The analysis of shallow foundations subjected to seismic loading has been an important area of re... more The analysis of shallow foundations subjected to seismic loading has been an important area of research for civil engineers. This paper presents an upper-bound solution for bearing capacity of shallow strip footing considering composite failure mechanisms by the pseudodynamic approach. A recently developed hybrid symbiosis organisms search (HSOS) algorithm has been used to solve this problem. In the HSOS method, the exploration capability of SQI and the exploitation potential of SOS have been combined to increase the robustness of the algorithm. This combination can improve the searching capability of the algorithm for attaining the global optimum. Numerical analysis is also done using dynamic modules of PLAXIS-8.6v for the validation of this analytical solution. The results obtained from the present analysis using HSOS are thoroughly compared with the existing available literature and also with the other optimization techniques. The significance of the present methodology to analyz...

Periodica Polytechnica Chemical Engineering, 2017

This study aims to examine the dispersion of a passive contaminant of solute released in Casson... more This study aims to examine the dispersion of a passive contaminant of solute released in Casson liquid flow through a tube. The wall of the tube is taken to be chemically active where the flow is driven by the constant pressure gradient. To evaluate the transport coefficients, Aris-Barton’s Moment technique is considered, a finite difference implicit scheme is adopted to handle the differential equation arises in moment methodology. Also to confirm the results obtained by Aris-Barton’s method, the generalized dispersion model has been applied. Unlike the previous studies on dispersion in Casson liquid, the time-dependent behavior of the transport coefficients has been established. Some significant observations have been founded, e.g. exchange coefficient is independent of yield stress while the convection coefficient and dispersion coefficient are inversely proportional to yield stress. Results reveal that transport coefficients are enormously affected by wall absorption.

Decision Science Letters, 2018

SpringerBriefs in Energy, 2016

The use of general descriptive names, registered names, trademarks, service marks, etc. in this p... more The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Geotechnical and Geological Engineering, 2015

Abstract Recently, many heuristic global optimizations successfully applied in various types of r... more Abstract Recently, many heuristic global optimizations successfully applied in various types of real life problems. The majority of these algorithms had not been applied to solve civil engineering problem, especially in the field of geotechnical engineering. In this paper a study has been made to use the different optimization techniques (HSA, TLBO, and PSO) and find out the solution for one civil engineering problem. Civil engineering structure, retaining wall is taken for solution and the solution is done for total active force on the back of a retaining wall supporting c–Φ backfill under pseudo-static seismic force using the three optimization techniques as mentioned above. A detailed comparative study has also been made with the values obtained from the present study and tthe values available in different literatures. A detailed parametric study is also done to see the effect of different optimization techniques on the variation of different parameters.