International Journal of Mathematical, Engineering and Management Sciences最新文献

{"title":"Approximation of Two-Dimensional Time-Fractional Navier-Stokes Equations involving Atangana-Baleanu Derivative","authors":"Manoj Singh, Mohammad Tamsir, Yasser Salah El Saman, Sarita Pundhir","doi":"10.33889/ijmems.2024.9.3.033","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.3.033","url":null,"abstract":"This article addresses the two analytical methods, i.e., the new iterative transform method (NITM) and the homotopy perturbation transform method (HPTM), along with an Aboodh transform (AT), to approximate the nonlinear system of two-dimensional (2D) time-fractional Navier-Stokes (TFNS) equations. We take the time-fractional derivative in the form of Atangana-Baleanu (AB). The article's suggested examples examine the accuracy and efficacy of the proposed methods, while the graphs demonstrate their potential and effectiveness. The article also provides demonstrations of uniqueness and convergence. The aforementioned techniques are straightforward and support a high rate of convergence, which helps in understanding the dynamics of fractional nonlinear systems.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach","authors":"Rohit Patel, P. Singh, Shivam Saw","doi":"10.33889/ijmems.2024.9.3.022","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.3.022","url":null,"abstract":"Noise pollution is a significant concern in urban settings, caused by traffic increases, urban expansion, and industrial activity. The transportation sector is a crucial contributor to overall noise pollution, particularly in India, where different vehicles ply the roads, resulting in highly fluctuating noise levels. Consequently, traffic noise modeling is essential for addressing this severe issue. The present study employs the MLR (Multiple Linear Regression) and Artificial Neural Network (ANN) approach to model and predict traffic-induced noise levels. The ANN approach outperforms the MLR technique. The architecture of the ANN model integrates different vehicle categories and average speeds as input, resulting in precise predictions. Evaluation of the model’s performance reveals an average Root Mean Squared Error (RMSE) of 0.204 and a high Coefficient of determination (R2) value of 0.93, emphasizing its accuracy. Similarly, in the case of MLR model the RMSE for the training and testing dataset are 1.55 and 1.69 dBA, respectively with R2 value of 0.84. Subsequently, sensitivity analysis highlights the substantial impact of 2-wheelers, tractors/trailers, and 3-wheelers on noise predictions. This study contributes valuable insights into noise management, urban planning, and sustainable development. It demonstrates the efficiency of the ANN approach in addressing complex noise pollution challenges, offering a path toward quieter and healthier urban environments.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"56 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling & Analyzing View Growth Pattern of YouTube Videos inculcating the impact of Subscribers, Word of Mouth and Recommendation Systems","authors":"Garima Babbar, Adarsh Anand, Niyati Aggrawal","doi":"10.33889/ijmems.2024.9.3.023","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.3.023","url":null,"abstract":"YouTube, one of the prominent online video-sharing platforms, plays a pivotal role in modern media consumption, making it crucial to understand and predict the view-count dynamics of its videos. The viewership of YouTube videos can be influenced by three distinct sources: subscribers, word-of-mouth, and recommendation systems. This paper presents a comprehensive modelling framework that takes into account the view-count obtained through these three sources, assuming that a single view-count can only be attributed to one of these sources at any given time. We investigate the interplay among these sources in shaping YouTube video view-count dynamics, proposing a novel approach to model and analyse their impact on video popularity. Additionally, the VIKOR multi-criteria decision-making method is employed to validate and rank our proposed models. This study's findings deepen our understanding of the intricate mechanisms within the YouTube ecosystem, offering insights for predicting and managing video viewership.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"24 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)","authors":"B. Singh, Sunil Kumar Goyal, S. A. Siddiqui, D. Shrivastava, Satyendra Singh, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Asyraf Afthanorhan","doi":"10.33889/ijmems.2024.9.3.029","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.3.029","url":null,"abstract":"Effective microgrid control for system recovery and restoring normal operation necessitates fast event detection and implementation of remedial action (if need arises). However, fast and reliable event detection in microgrids is challenging because of low observability and inconsistencies in measurements. A novel technique is proposed in the present work for the real-time event detection and to identify the various emerging abnormalities in the microgrid. The continuous energy signature using TKEO (Teager-Kaiser Energy Operator) of the continuous varying voltage and frequency signal are extracted through μPMU. REII (Robust Event Identification Index) is constructed from these energy signatures and based on its abrupt post-event deviation from the nominal values an event is flagged in the proposed method. The proposed method is data–driven and only depends on the real-time inputs through μPMUs thus it automatically adapts the uncertainties associated with the intermittent sources of energy in the microgrid under different operating conditions. The traditional event detection techniques fail in identification of abnormalities for a microgrid connected to the transmission systems and equipped with multiple DERs such as PVDG, WG etc. To address this challenge, an integrated microgrid with multiple DERs viz. PVDG, WG and a SG (Synchronous Generator) is first developed in this work. The complexity of simultaneous operation of a static generator i.e. PVDG along with a rotor-based generator such as WG and SG is handled by the modeling the dynamic controllers of PVDG and WG for their frequency and voltage control. The simulation results depict the efficiency, accuracy and robustness of the proposed technique in terms of estimation time, event accuracy and applicability in all types of events. Moreover, the presented methodology is also compared with the four AI/ML based methods to highlight the superiority of the method.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"11 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Lot Sizing Model for a Deteriorating Product with Shifting Production Rates, Freshness, Price, and Stock-Dependent Demand with Price Discounting","authors":"Kapya Tshinangi, O. Adetunji, S. Yadavalli","doi":"10.33889/ijmems.2024.9.3.024","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.3.024","url":null,"abstract":"Many production systems need to be able to change the rate at which they manufacture products for various reasons, hence, the need to find the optimal lot size under these multiple levels of production. This research addresses the need for optimizing inventory in a system with a shifting production rate and other challenging product characteristics such as product deterioration with limited life span, and product demand that is dependent on the stock level, the state of freshness of the product, and the selling price. The product also needs to be discounted as it gets close to the expiry date in order to boost demand and prevent wastage beyond its life span. Our objective is to maximize profit by determining the optimal selling price and inventory cycle time by deriving the relevant equations for these decision variables. The Newton-Raphson method was used to numerically solve for the optimal values of these variables. Sensitivity analyses were performed to derive useful insights for managerial decision-making.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"17 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Insurance Risk Assessment using Discrete Four-Variate Sarmanov Distributions and Generalized Linear Models","authors":"Piriya Prunglerdbuathong, T. Pongsart, W. Ieosanurak, W. Klongdee","doi":"10.33889/ijmems.2024.9.2.012","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.2.012","url":null,"abstract":"This research paper investigated multivariate risk assessment in insurance, focusing on four risks of a singular person and their interdependence. This research examined various risk indicators in non-life insurance which was under-writing for organizations with clients that purchase several non-life insurance policies. The risk indicators are probabilities of frequency claims and correlations of two risk lines. The closed forms of probability mass functions evaluated the probabilities of frequency claims. Three generalized linear models of four-variate Sarmanov distributions were proposed for marginals, incorporating various characteristics of policyholders using explanatory variables. All three models were discrete models that were a combination of Poisson and Gamma distributions. Some properties of four-variate Sarmanov distributions were explicitly shown in closed forms. The dataset spanned a decade and included the exposure of each individual to risk over an extended period. The correlations between the two risk types were evaluated in several statistical ways. The parameters of the three Sarmanov model distributions were estimated using the maximum likelihood method, while the results of the three models were compared with a simpler four-variate negative binomial generalized linear model. The research findings showed that Model 3 was the most accurate of all three models since the AIC and BIC were the lowest. In terms of the correlation, it was found that the risk of claiming auto insurances was related to claiming home insurances. Model 1 could be used for the risk assessment of an insurance company that had customers who held multiple types of insurances in order to predict the risks that may occur in the future. When the insurance company can forecast the risks that may occur in the future, the company will be able to calculate appropriate insurance premiums.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"3 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network Building Capabilities for a Sustainable and Circular Economy","authors":"Ananta Narayana, Utkarsh Kumar Verma, Lokesh Vijayvargy, Amarendra Sahoo, Rajesh Kumar Shastri","doi":"10.33889/ijmems.2024.9.2.016","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.2.016","url":null,"abstract":"This research introduces a novel integrated model that affiliates the innovative capacity of circular start-ups, as seen through their network-building capabilities, with the influential attribute of top management support as outlined in the T-O-E theory. The investigation employs a quantitative research methodology based on a random sampling technique for the entire research population. The structural equation model, utilizing SMARTPLS, is used on a dataset comprising 231 manufacturing-based circular start-ups and their franchises in India. The findings reveal significant direct and indirect relationships between network-building capabilities and the innovation function of circular start-ups. The study highlights the pivotal role of top management support, following the T-O-E framework, as a complete mediator between network-building capabilities and organizational innovativeness. This inquiry establishes that effective networking and other factors confer a competitive edge upon firms. Furthermore, it contributes to the literature on the circular economy within emerging markets, offering insights applicable across various sectors like IT, hospitality, aviation, pharmaceuticals, and more. The study's implications extend to future researchers and policymakers, advocating for adopting a multi-level perspective to foster and ensure the innovativeness of circular start-ups in diverse industries.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"18 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing Die Design and Optimization through the Combination Approach:\u0000A Focus on Spring-back Compensation","authors":"A. Anggono, W. Siswanto, B. Omar, Agus Yulianto","doi":"10.33889/ijmems.2024.9.2.011","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.2.011","url":null,"abstract":"This study explores the geometrical deviations that occur in cold stamping, which are caused by the spring-back effects in elastic metals after forming. The primary aim is to introduce and assess the Combination Approach. This approach seamlessly integrates the Displacement Adjustment and Spring Forward methods for die compensation. This multi-stage process meticulously corrects dimensional errors and effectively reduces spring back through iterative processes. Using the NUMISHEET model, numerical simulations have shown a significant reduction in spring back errors, with up to a 55% reduction achieved with optimized die surfaces after five iterations. The proposed Combination Approach improves the accuracy of die design and contributes significantly to the stamping industry by incorporating established techniques within finite element software. This research broadens the scope of die compensation strategies, creating new opportunities for achieving precise die design in stamping.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"5 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140354261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Approach to Design of Cost-Efficient Reversible Quantum Dual-Full Adder and Subtractor","authors":"H. Maity, Mousam Chatterjee, Susmita Biswas, Aritra Bhowmik, Bineet Kaur, Ashish Kumar Singh, Parna Kundu, Jagannath Samanta","doi":"10.33889/ijmems.2024.9.2.018","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.2.018","url":null,"abstract":"This paper proposed the design and development of reversible cost-efficient innovative quantum dual-full adder and subtractor or QD-FAS circuit using quantum gate. The proposed circuit can be used as full adder and full subtractor simultaneously, which is designed using double Peres gate or DPG and Feynman gate or FG. The quantum cost, garbage output and constant input of the QD-FAS is 8, 1 and 1. Which is better w.r.t previously reported work. The QD-FAS circuit, as proposed, includes shared sum and difference terminals, as well as a carry-out and a borrow output terminal. Notably, this innovation showcases a remarkable 27.27% reduction in quantum cost. The improvement in garbage output is even more striking, showing a 50% enhancement. When assessing the overall advancement in quantum cost, it falls within the range of 27.27% to 66.66%. To confirm the viability of this design, extensive testing is carried out using the IBM Qiskit simulator. This design holds significant importance in a variety of applications, including quantum computing, cryptography, and the realm of reversible Arithmetic Logic Units (ALU).","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"4 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140354769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Characterization of Generalized Boolean Functions Employed in CDMA Communications","authors":"Deep Singh, Anjali Chawla, Pramod Bhogta, Amit Paul","doi":"10.33889/ijmems.2024.9.2.019","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.2.019","url":null,"abstract":"In design of secure cryptosystems and CDMA communications, the negabent functions play a significant role. The generalized Boolean functions have been extensively studied by Schmidt and established several important results in this setup. In this paper, several characteristics of the generalized nega-Hadamard transform (GNT) of generalized Boolean functions like inverse of GNT, generalized nega-cross correlation, generalized nega-Parseval’s identity, relationship between GNT and generalized nega-cross correlation have analyzed. We studied the GNT for the derivative of this setup of functions and established the connection of generalized Walsh-Hadamard transform and GNT of derivatives of these functions. Also, the GNT of composition of vectorial Boolean function and generalized Boolean function is presented. Further, the generalized nega-convolution theorem for generalized Boolean function is obtained.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"55 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}