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Some Problems Related to Reducts of Consistent Incomplete Decision Tables International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Dinh Thu Khanh,Vu Duc Thi,Nguyen Long Giang,Le Hoang Son
In multi-criteria decision making, attribute reduction has attracted the attention of researchers for more than two decades. So far, numerous scientists have proposed algorithms to construct reducts in decision tables. However, most of the suggested algorithms are heuristic which discovers a reduction based on criteria of the attribute set. In fact, studying the properties of reducts to build efficient
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Evaluation of VANETs Routing Protocols for Data-Based Smart Health Monitoring in Intelligent Transportation Systems International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Suresh Kumar Sharma,Seema .,Rajwant Singh Rao,Pawan Singh,Suhel Ahmad Khan
Vehicular Ad-hoc Network (VANET) is an essential part of futuristic Intelligent Transportation Systems. VANET can improve the overall traffic control system and reduce road accident deaths by providing remote health monitoring in hazardous conditions to outdoor patients. Nowadays, vehicles have become so intelligent that they can sense patient health data and transmit it to a nearby ambulance or hospital
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Learning Unsupervised Visual Representations using 3D Convolutional Autoencoder with Temporal Contrastive Modeling for Video Retrieval International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Vidit Kumar,Vikas Tripathi,Bhaskar Pant
The rapid growth of tag-free user-generated videos (on the Internet), surgical recorded videos, and surveillance videos has necessitated the need for effective content-based video retrieval systems. Earlier methods for video representations are based on hand-crafted, which hardly performed well on the video retrieval tasks. Subsequently, deep learning methods have successfully demonstrated their effectiveness
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A Comparative Study of Gradient Descent Method and a Novel Non-Gradient Method for Structural Shape Optimization International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Ishan Jha,Krishna K. Pathak,Mrigank Jha,Ashutosh Ranjan
Motivated by the works on non-gradient techniques in the domain of shape optimization of the structure, the present work intends to suggest a novel non-gradient procedure for shape optimization of structures and compare it to an existing gradient-based method. The presented technique optimizes the shape of structural parts using a fuzzy controlled integrated zero-order methodology incorporating the
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Applied Picture Fuzzy Sets for Group Decision-Support in the Evaluation of Pedagogic Systems International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Hai Van Pham,Nguyen Dang Khoa,Thi Thuy Hang Bui,Nguyen Thi Huong Giang,Philip Moore
Evaluation of E-Learning resources plays a significant role in the context of pedagogic systems. Resource evaluation is important in both conventional ‘talk-and-chalk’ teaching and in blended learning. In on-line (e-learning) teaching [an enforced feature of pedagogic systems in tertiary education during the Covid-19 pandemic] the effective evaluation of teaching resources has obtained importance given
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Capturing the Differential Impacts of Easing COVID-19 Restrictions: Application of a Hybrid Model of Entropy and TOPSIS International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Debasis Neogi
The paper aims to carry out the ordinal evaluation of 30 countries of North and South Americas, separately at two different points of time on 30th July 2020 and on 30th November 2020, on the basis of 13 select criteria. It also compares the changes in the relative rankings, if any, between these two points of time of the nations caused by changes in the pandemic mitigation strategy – i,e by easing
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Simulation for Decision Support in Process Reengineering in the Automotive Industry International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Yúmina Alexandre Zêdo,Ana Luísa Ferreira Andrade Ramos
With globalization and the high competitiveness faced in a business environment, adopting technological solutions to satisfactory respond to an increasingly demanding customer is the watchword for organizations. With technological advances and an increasingly volatile society, it is mandatory for industries to ensure agile production processes capable of responding quickly and assertively to consumer
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Time Domain Implementation of Consistent Boundaries for Continuum Two-Dimensional Wave Propagation Problems Using ABAQUS User-Defined Elements International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 J. Rama Raju Patchamatla,P. K. Emani
The present paper details the finite element implementation procedure for applying consistent boundaries for two-dimensional continuum soil-structure interaction systems. Consistent boundary conditions are ensured by applying rigorously calculated interaction forces at the truncated soil-structure interface. These calculations involve the evaluation of convolution integral on acceleration unit-impulse
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Optimizing Regeneration Time by Node Selection in Group Repair Code International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 Swati Mittal,Anu Mehra,Nitin Rakesh,Rakesh Matam
Distributed storage systems use network coding techniques like replication, erasure codes, local codes, regeneration codes, hybrid code, double code and group repair code to store data efficiently and provide speedy recovery of data during failures. The performance of these approaches is mainly compared on the basis of storage required and repair bandwidth. Out of these, Group Repair Codes is the one
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A Simulation Approach to Solve Power System Transmission Problems International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-03-14 María Julia Blas,Gonzalo E. Alvarez
The cost of electricity is an indicator of a country's level of development. This industry involves billions of dollars. Hence, the operation of Electric Power Systems constitutes a real problem that consists of a set of stages related to distinct components. In this paper, we propose a novel simulation model to study the state of transmission line systems due to scheduled and unscheduled maintenances
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Bitcoin Selfish Mining Modeling and Dependability Analysis International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-23 Chencheng Zhou,Liudong Xing,Jun Guo,Qisi Liu
Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this technology can be utilized in different aspects of the industry, market, and governmental departments. Due to the safety-critical and security-critical nature of their uses, it is pivotal to model the dependability of blockchain-based systems. In this study, we focus on Bitcoin
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Bitcoin Selfish Mining Modeling and Dependability Analysis International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-23 Chencheng Zhou,Liudong Xing,Jun Guo,Qisi Liu
Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this technology can be utilized in different aspects of the industry, market, and governmental departments. Due to the safety-critical and security-critical nature of their uses, it is pivotal to model the dependability of blockchain-based systems. In this study, we focus on Bitcoin
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Condition-based Maintenance Optimization of Degradable Systems International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-22 Shuaichong Wei,Mustapha Nourelfath,Nabil Nahas
This paper develops a mathematical model for condition-based maintenance optimization of multi-state systems. The majority of the existing literature on maintenance optimization assume that there is no additional cost incurred because of side effects of equipment degradation. Nevertheless, as the operating cost increases with equipment age and degradation, it is important to consider the degradation
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Uniform Asymptotic Probability for Multi Renewal Risk Model with Strong Subexponential Tailed Claims International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Fotis Loukissas,Alex Karagrigoriou
In this paper, we study the uniform asymptotic behavior for the ruin probability in a continuous time renewal counting process. For the proposed model, we assume that the financial claims for each extreme event are compensated by a finite number of independent insurance companies. Moreover, it is assumed that the claims of each insurance company is a sequence of random variables the tail distribution
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Comprehensive Study on Materials used in Different Types of Additive Manufacturing and their Applications International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Rami Alfattni
Additive manufacturing is center of attention now days in innovative research specially because of industrial revolutionization and commercialization. It has a number of advantages, including mass customization, design freedom, waste minimization, and rapid prototyping in breakthrough applications such as aerospace, biomedical, constructions, buildings, and even food, health, and fashion. Metals, polymers
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Sustainable Supplier Selection in Agri-Food Supply Chain Management International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Nesrin Ada
In recent times, sustainability of supply chains becomes the most interested subject by customers, firms, government bodies, academia, and suppliers as the environmental resources reveal as the most valuable and limited asset for human beings. One of the most important elements determining the performance of sustainable agri-food supply chain business is supplier’s commitment. A mainly inspiring feature
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Using a Combination of Matrix Approach to Robustness Analysis (MARA) and Fuzzy DEMATEL-Based ANP (FDANP) to Choose the Best Decision International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Ali Sorourkhah,S. A. Edalatpanah
In today's world, selecting a suitable, reasonable option is challenging for any decision-maker. Where does this problem arise from? According to the decision-making literature, complexity “multiple criteria and interrelationship among them” and uncertainty “the vagueness of judgments and future uncertainty” have made decision-making one of the most significant problems for people. Though multiple-criteria
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A Step Towards Generation of DoS/DDoS Attacks Dataset for Docker-Centric Computing International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Aparna Tomar,Preeti Mishra,Rahul Bisht,Peddoju Sateesh Kumar
Docker provides an effective containerized environment for modern computing. However, the security issues present in Docker provide an edge to the attackers thus resulting in various attacks. Denial of Service (DoS) and Distributed Denial of Service (DDoS) are the common ones. In this paper, DoS and DDoS attack datasets have been generated using realistic testbed environments as older datasets have
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A Novel S-LDA Features for Automatic Emotion Recognition from Speech using 1-D CNN International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Pradeep Tiwari,A. D. Darji
Emotions are explicit and serious mental activities, which find expression in speech, body gestures and facial features, etc. Speech is a fast, effective and the most convenient mode of human communication. Hence, speech has become the most researched modality in Automatic Emotion Recognition (AER). To extract the most discriminative and robust features from speech for Automatic Emotion Recognition
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A Solution Approach for Multi-Level Multi-Objective Quadratic Fractional Programming with Trapezoidal Fuzzy Numbers using Rouben Ranking Function International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Vandana Goyal,Namrata Rani,Deepak Gupta
The paper proposed a methodology for obtaining a set of efficient solutions for a model which is multi-level multiobjective quadratic with fractional objectives and constraints having trapezoidal fuzzy number (MLMOQFP-TrFN) as coefficients. The model consists of r-levels with several objectives involved to be solved under a set of quadratic constraints. The proposed approach starts with the solution
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Exploration of Network Theory to Evaluate Organizational Resilience International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2022-01-01 Cristina Ruiz-Martin,Gabriel Wainer,Adolfo Lopez-Paredes
Recent disasters and rapid changes in the environment have shown various open issues in organizational resilience, in particular the use of communications. We explore the use of Network Theory to study the robustness of communications in organizations regardless their structure and the communication mechanisms used. We focus on how a collapse in the communication mechanisms affects the communication
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State Minimization of General Finite Fuzzy Automata International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Ranjeet Kaur,Alka Tripathi
The minimization of automaton is important to reduce space and computational time. Reduction in number of states and transitions leads to equivalent automaton with less number of states and transitions. In this paper, state minimization of General Finite Fuzzy Automata (GFFA) is discussed. To obtain minimal equivalent GFFA we have removed redundant states and transitions using substitution property
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Power Usage Efficiency (PUE) Optimization with Counterpointing Machine Learning Techniques for Data Center Temperatures International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Rajendra Kumar,Sunil Kumar Khatri,Mario José Diván
The rapid increase in the IT infrastructure has led to demands in more Data Center Space & Power to fulfil the Information and Communication Technology (ICT) services hosting requirements. Due to this, more electrical power is being consumed in Data Centers therefore Data Center power & cooling management has become quite an important and challenging task. Direct impacting aspects affecting the power
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An Integrated Picture Fuzzy Set with TOPSIS-AHP Approach to Group Decision-Making in Policymaking under Uncertainty International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Long Cu Kim,Hai Pham Van
Group Decision-Making techniques have been applied to combine a group of decision maker’s preferences to deal with an evaluation of alternatives in a static environment. However, these conventional techniques are only concerned with an evaluation in a static environment. They cannot solve the policy evaluation problems in a dynamic environment or under uncertainty. This paper has presented a novel
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Efficiency Analysis of Higher Education Institutions: Use of Categorical Variables International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Prabhat Ranjan,Sanjeet Singh
This paper focuses on the Data Envelopment Analysis (DEA) based efficiency evaluation to find the impact of two-step categorical impact on the enrollment efficiency of colleges in Bihar, one of the largest states of India. The objective of the study is to find the impact of factors, other than college-specific, on the efficiency of the colleges. The proposed research includes colleges funded and managed
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Determinants of Assurance Management System for Critical Asset: A Literature Review International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Joseph A. Tubil,Alexander S. Acosta,Imee C. Acosta,Eduardo P. Malagapo
Several studies found that critical asset failure results in delays and downtimes in operation for most industries. One of the studies revealed that 272 of the 773 occurrences involved a critical asset breakdown. Thus, this study aimed to discuss the relevant factors of implementing the Assurance Management System for the industry's selected critical asset. Literature reviews play a significant role
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Determination Transition Resistance of Cathode-Polarized Main Pipeline on Magnetometery Data International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Vladimir N. Krizsky,Pavel N. Alexandrov,Alexey A. Kovalskii,Sergey V. Victorov
The article deals with the inverse problem of determining the transient resistance of the main pipeline insulating coating. For this, UAV measurements of the magnetic induction vector modulus of the magnetic field excited by the system of electrochemical cathodic protection of pipelines are used. The solution method is based on Tikhonov's method for finding the extremal of the regularizing functional
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Optimization of Fuzzy Species Pythagorean Transportation Problem under Preserved Uncertainties International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Priyanka Nagar,Pankaj Kumar Srivastava,Amit Srivastava
The transportation of big species is essential to rescue or relocate them and it requires the optimized cost of transportation. The present study brings out an optimized way to handle a special class of transportation problem called the Pythagorean fuzzy species transportation problem. To deal effectively with uncertain parameters, a new method for finding the initial fuzzy basic feasible solution
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On Solving Bi-level Multi-Objective Fully Quadratic Fractional Optimization Model with Fuzzy Demands International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Namrata Rani,Vandana Goyal,Deepak Gupta
This paper has been designed to introduce the method for solving the Bi-level Multi-objective (BL-MO) Fully Quadratic Fractional Optimization Model through Fuzzy Goal Programming (FGP) approach by utilising non-linear programming. In Fully Quadratic Fractional Optimization Model, the objective functions are in fractional form, having quadratic functions in both numerator and denominator subject to
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Ergonomic Risk Reduction Method in Aerospace Manufacturing International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Shigeshi Yamashita,Kodo Ito
In the aerospace manufacturing, lots of processes cannot be automated and are performed manually by skilled workers. Because there exist some human error mistakes in such manual working processes, root cause investigations of these mistakes are indispensable and measures are implemented in working processes for preventing repetition of the same mistakes. Although skilled workers have strong confidence
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Forward Kinematics of Delta Manipulator by Novel Hybrid Neural Network International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Mahesh A. Makwana,Haresh P. Patolia
For the parallel configuration of the robot manipulator, the solution of Forward Kinematics (FK) is tough as compared to Inverse Kinematics (IK). This work presents a novel hybrid method of optimizing an Artificial Neural Network (ANN) specifically Multilayer Perceptron (MLP) with Genetic Algorithm (GA) and Step-wise Linear Regression (SWLR) to solve the complex FK of Delta Parallel Manipulator (DPM)
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Optimal Policies of Social Infrastructures Maintenance using Shock and Damage Model International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Akihiro Yamane,Kodo Ito,Yoshiyuki Higuchi
Social infrastructures such as roads and bridges are indispensable for our lives. They have to be maintained continuously and such maintenance has become a big issue in Japan. Social infrastructures are maintained under strict restrictions such as decreasing in local finance revenue and scarcity of skilful engineers. Various kinds of factors such as inspection periods, maintenance costs, and degradation
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Influence of Load on Reliability of Storage Area Networks International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Guixiang Lv,Liudong Xing
During the coronavirus pandemic, telecommuting is widely required, making remote data access grow significantly. This requires highly reliable data storage solutions. Storage area networks (SANs) are one of such solutions. To guarantee that SANs can deliver the desired quality of service, cascading failures must be prevented, which occur when a single initial incident triggers a cascade of unexpected
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The Adaptive Damping Technique: Improving the Simulation Accuracy of Hydraulic Transients International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Jishnu Chandran R.,A. Salih
Hydraulic surges are transient events frequently observed in various industrial and laboratory flow situations. Understanding surge physics and its accurate numerical prediction is crucial to the safety of flow systems. The maximum accuracy achievable for transient surge simulations is limited by the inefficiencies in the mathematical models used. In this work, we propose a mathematical model that
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A Six-Sigma DMAIC Approach to Improve the Sales Process of a Technology Start-Up International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 Desy Wartati,Jose Arturo Garza-Reyes,Marcos Dieste,Simon Peter Nadeem,Rohit Joshi,Fernando González-Aleu
Despite the adoption of Six-Sigma in different service sectors, its application in the Sales function of a Technology-based Start-up has not been explored. This paper deploys an action research-based study methodology and conducts a thorough analysis of a Technology Start-up company in Indonesia, using Six-Sigma principles and the Define-Measure-Analyse-Improve-Control (DMAIC) approach. Statistical
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Real Time Scheduling of Nonidentical Multiple Batch Processors with Machine Eligibility Restriction International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-12-01 M. Vimala Rani,M. Mathirajan
This study addresses a new problem on scheduling of nonidentical multiple diffusion furnaces (NMDF) with machine eligibility restriction (MER) along with important real-life problem characteristics such as multiple and incompatible job-families, different release time, different due-date, non-agreeable release time & due-date, and occurrences of randomly and dynamically generated real time events (jobs
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A Robust Expected Makespan for Permutation Flow Shop Scheduling Depending on Machine Failure Rate International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Ghazwan Alsoufi,Manal Abdulkareem Zeidan,Lamyaa Jasim Mohammed,Abdellah Salhi
The environment of Flow Shop Scheduling Problems (FSSPs) to minimize the makespan of n jobs that have to be performed on m machines is considered. In real-world manufacturing systems nowadays, the uncertain circumstances to execute these jobs have an essential effect on the final scheduling scheme. This paper puts forward an integrated optimization heuristics that combine two distinct factors in flow
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Bi-Objective Reliability-Cost Interactive Optimization Model for Series-Parallel System International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Harish Garg
The paper aims are to determine the bi-objective reliability-cost problem of a series-parallel system by employing an interactive approach. Multi-objective optimization is a design methodology that optimizes a combination of objective functions orderly and concurrently. The fuzzy membership functions have been designated to settle the contrary nature of the objectives. Based on these functions and
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Fine-Tuned Pre-Trained Model for Script Recognition International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Mamta Bisht,Richa Gupta
Script recognition is the first necessary preliminary step for text recognition. In the deep learning era, for this task two essential requirements are the availability of a large labeled dataset for training and computational resources to train models. But if we have limitations on these requirements then we need to think of alternative methods. This provides an impetus to explore the field of transfer
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Application of Modified Grey Forecasting Model to Predict the Municipal Solid Waste Generation using MLP and MLE International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Mohd Anjum,Sana Shahab,Mohammad Sarosh Umar
Grey forecasting theory is an approach to build a prediction model with limited data to produce better forecasting results. This forecasting theory has an elementary model, represented as the GM(1,1) model , characterized by the first-order differential equation of one variable. It has the potential for accurate and reliable forecasting without any statistical assumption. The research proposes a methodology
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Route Planning of Unmanned Aerial Vehicles under Recharging and Mission Time Constraints International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Kriangsak Phalapanyakoon,Peerapon Siripongwutikorn
This paper investigates the problem of route planning for rechargeable unmanned aerial vehicles (UAV) under the mission time constraint in cases where more than one trip per round is required due to limited battery capacities. The goal is to determine the number of UAVs to be deployed and the flying paths that minimize the total mission cost. Unlike previous works, the electric cost incurred by UAV
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Non-Radial Pulsations of Distorted Stellar Structures: Effect of Mass Variation International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Seema Saini,Sunil Kumar,Vineet Bhatt,Pradeep Bedi
Eigen-frequencies (EF) of non–radial modes (NRM) of pulsations of differentially rotating (D R) and tidally distorted (T D) stellar models by considering the effect of mass variation (MV) on its equi-potentials surfaces inside a star. The method utilizes an averaging proposal of Kippenhahn and Thomas (K and T) with conjunction of the concept of Roche-equipotential. The study accolades and corrects
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Exploring the Issues in Policy Deployment Using SAP-LAP and eIRP Approaches: An Empirical Case Study International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Don Plackal,Sumit Kumar,Pardeep Gupta
Policy deployment refers to the formulation of policies, their implementations, and reviews. Every organization irrespective of its size and sector involves the process of policy deployment. There exist many factors that affect the process of policy deployment. These factors pose flexibilities that can alter the outcome of a policy. This paper explores the flexibilities in the choice of the factors
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Artificial Intelligence Based Prediction of Seawater Level: A Case Study for Bosphorus Strait International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Yavuz Karsavran,Tarkan Erdik
Sea level prediction is an important phenomenon for making reliable oceanographic and ship traffic management decisions especially for Bosphorus Strait that has no permanent sea level measurement stations due to high cost. This study presents artificial intelligence (AI) techniques, such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVM) to predict the seawater level in the Bosphorus
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A Hydromechanical Perspective to Study the Effect of Body Acceleration through Stenosed Artery International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Sapna Ratan Shah,Pushkar Kumar
The spread of numerous deadly diseases such as Thrombosis, Diabetes, Atherosclerosis and other cardiac diseases, carry on to be major root of demise and growing public curiosity about the prevention and treatment of such fatal disorders. Body acceleration has very important role on the flow through stenosed artery. In this research work a problem for irregular development in the inner wall of the artery
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Numerical Solution of the Time-Depending Flow of Immiscible Fluids with Fuzzy Boundary Conditions International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Rajesh Kumar Chandrawat,Varun Joshi
Fluid flow modeling using fuzzy boundary conditions is one of the viable areas in biofluid mechanics, drug suspension in pharmacology, as well as in the cytology and electrohydrodynamic analysis of cerebrospinal fluid data. In this article, a fuzzy solution for the two immiscible fluid flow problems is developed, which is motivated by biomechanical flow engineering. Two immiscible fluids, namely micropolar
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Numerical Simulations of Heat Transfer Phenomena through a Baffled Rectangular Channel International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Sandip Saha,Pankaj Biswas,Apurba Narayan Das
In presence of baffle, the turbulent airflow phenomena as well as forced convective heat exchange characteristics in two-dimensional rectangular channel have been analyzed in this work. For variations in Reynolds number (Re), we have studied the variations in characteristics of thermal behavior due to the change in the shape of baffle. Computations have been done using finite volume method (FVM) and
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Lean & Green on Industry 4.0 Context – Contribution to Understand L&G Drivers and Design Principles International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Lenin John,Manuel Sampayo,Paulo Peças
The purpose of this paper is to demonstrate how the implementation of Lean & Green (L&G) in an Industry 4.0 (I4.0) environment can enhance the potential impact of the L&G approach and help manufacturing companies moving towards higher operational and sustainable performances. The research work developed here shows that although a proper definition of L&G is neither exposed worldwide nor explicitly
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Multi-Objective Capacitated Solid Transportation Problem with Uncertain Variables International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-10-01 Vandana Y. Kakran,Jayesh M. Dhodiya
This paper investigates a multi-objective capacitated solid transportation problem (MOCSTP) in an uncertain environment, where all the parameters are taken as zigzag uncertain variables. To deal with the uncertain MOCSTP model, the expected value model (EVM) and optimistic value model (OVM) are developed with the help of two different ranking criteria of uncertainty theory. Using the key fundamentals
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Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Kenji Mashio,Kodo Ito
Integrated process of human error management in human factors engineering (HFE) process provides a systematic direction for the design countermeasures development to prevent potential human errors. The process analyzes performance influence factors (PIFs) for crew failure modes (CFMs) and human failure events (HFEvs) in human reliability analysis (HRA). This paper provides applications of the process
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Two-Dimensional Stress Analysis of Thick Hollow Functionally Graded Sphere Under Non-Axisymmetric Mechanical Loading International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Sandeep Kumar Paul,Manoj Sahni
In this paper, a functionally graded thick hollow sphere is considered for the analysis of two-dimensional steady state mechanical stress in the radial and circumferential directions under mechanical loading. Modulus of elasticity is varying with continuous nonlinear variation along the radial direction and Poisson’s ratio is kept as constant. The Legendre series and Euler differential equation are
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Sustainable Preservation Strategies with Deterioration Management and Environment Sensitive Demand International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Priyamvada .,Shikha Yadav,Aditi Khanna,Chandra K. Jaggi
Sustainable operations are concerned with the eco-friendly system to postulate intergenerational equity on social, economical, and environmental responsibility. This paper addresses the deterioration with a preservation strategy without compromising the environmental performance of the product. Also, the loss due to deterioration is managed completely with the idea of salvage trade. Furthermore, the
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Optimal Placement of Renewable Energy based Distributed Generation Units using MCDM Technique International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Manoj Kumar Bansal,Pratibha Garg,Neha Gupta,Mohini Agarwal
The distribution of electricity has become a challenge as there are losses associated with its distribution and transmission. In reducing such losses employment of Distributed Generation units in the transmission network can benefit greatly. Thus, the concern is on the optimal placement of Distributed Generation units that can provide maximum benefits and optimize several conflicting attributes. In
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Optimal Network Reconfiguration with Distributed Generation and Electric Vehicle Charging Stations International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Surender Reddy Salkuti
This paper proposes an optimal network reconfiguration (ONR) by integrating the renewable energy (RE) based distributed generation (DG) resources, i.e., wind and solar photovoltaic (PV) modules, and electric vehicle charging stations (EVCS). The uncertainties related to renewable energy sources (RESs) are handled by using probability analysis. In this work, wind uncertainty is handled by using Weibull
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Optimal Sizing and Control of Solar PV-PEMFC Hybrid Power Systems International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Vipin Das,Pitchai Karuppanan,Asheesh Kumar Singh,Padmanabh Thakur
This paper explores several possible hybridized techniques to supply electrical energy at remote locations where the utility grid extension is found uneconomical. In this work, diesel-generator (DG) is combined with the various renewable energy resources (RES) and multiple storage facilities, such as (i) proton exchange membrane fuel cell (PEMFC) and hydrogen energy storage (HES), (ii) PEMFC, HES,
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Presentation of Coupling Analysis Techniques of Maximum and Minimum Values Between N Sets of Data Using Matrix [µ][MKN] International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 K. N. Makris,I. Vonta
This paper deals with the presentation and study of alternative coupling techniques for maximum and minimum values between data sets, namely the problem which is examined in this work is the possible appearance of maximum or minimum values between data sets in the same or neighboring time points. The data can be time-dependent (time series) or non-time-dependent. In this work, the analysis is focused
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Optimal Education Plan of Employees Using Maintenance Model International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Shigeshi Yamashita,Kodo Ito,Sho Kawakami,Truong Dinh Anh Khoa
The employee education is indispensable for companies to improve productive efficiency and product quality. In general, the employee education is divided into two types, i.e., On-job trainings and Off-job ones, and Off-job trainings are divided into two types, i.e., compulsory educations and non-compulsory ones. Compulsory educations such as safety program and compliance education, are necessary to
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CE-OFDM-CDMA Phase Modulation for 5G System International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Jamal Mestoui,Mohammed El Ghzaoui,Serghini Elaage,Abdelmounim Hmamou,Jaouad Foshi
In the present work, we propose a novel modulation scheme for 5G wireless communication system. Our contribution is to combine PM-OFDM (Phase Modulation Orthogonal Frequency Division Multiplexing) and CDMA (Code Division Multiple Access) to exploit their distinctive advantages. On the one hand, PM-OFDM is an effective technique to combat multipath fading effects. On the other hand, CDMA can serve multiple
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Multi-Objective Faculty Course Assignment Problem with Result and Feedback Based Uncertain Preferences International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Sunil B. Bhoi,Jayesh M Dhodiya
In this paper, a multi-objective faculty course allocation problem with result analysis and feedback analysis based on uncertain preferences mathematical model is presented. To deal with an uncertain model, three different ranking criteria are being used to develop: a) Expected value, b) Optimistic value, c) Dependent optimistic value criterion. These mathematical models are transformed into their
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Application of Software Reliability Model for Safety Assessment of E/E/PE Safety-Related Software International Journal of Mathematical, Engineering and Management Sciences Pub Date : 2021-07-18 Shinji Inoue,Takaji Fujiwara,Shigeru Yamada
Quantitative and analytical safety assessment methods of E/E/PE safety-related software systems based on the SIL defined by IEC 61508 have been proposed. IEC 61508 does not provide us with quantitative and analytical methods for safety assessment of the software. Our methods give us quantitative information on safety measures for deciding the safety integrity level and testing time duration for achieving