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225 articles for “linearity of data”
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Effects of non-motorized vehicle on speed-density relationship of an urban intersection
Abstract: The study investigated the influence of non-motorized vehicle (NMV) in the heterogeneous traffic in terms of speed–density (v-k) relationship. The traffic of a busy intersection of Dhaka city was studied, conducted traffic survey, and modelled using VISSIM software. Three traffic scenarios, existing traffic (M1), 20% increase of NMV (M2) and 50% increase of NMV (M3) were simulated. Then, the dataset was used to model the linear v-k relationship. The v-k …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 22–29 Read article
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Determinants of Time on the Market and its Effect on Sales Price for Developed Residential Land in Akure, Nigeria
Abstract: This research work examined the contributing factors of time on the market (TOM) on developed residential property market in Akure. It also examined the effect the time lag has on the sales price. The data for the study was collected through structured questionnaires administered on principal partners of the 20 estate surveying and valuation firms in Akure as contained in the, 2014 register of the heads of firms of the …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 1–12 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Analysis of Rainfall Variability in Sylhet Region of Bangladesh
Abstract: The variability and distributions of rainfall of a region is important and useful especially for agricultural activities. The study was conducted to establish the rainfall trends in Sylhet by analyzing available rainfall record for 35 years period of 1981 to 2015. Records of daily rainfall data for Sylhet region were obtained from the Bangladesh Meterological Department (BMD) for analysis. Rainfall data were categorized into monthly, annual, and seasonal basis. The …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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The Awareness–Behaviour Paradox: Media Literacy and Social Media Risk Behaviour Among Nigerian Undergraduates
Abstract: Background: The proliferation of internet-capable devices and social media platforms has created an intricate web of risks for Nigerian undergraduates, including cyberbullying, addiction, misinformation, and exposure to indecent content. While media literacy has been widely proposed in Western scholarship as a sustainable intervention for responsible online behaviour, its protective mechanisms remain insufficiently understood in non-Western contexts, particularly with respect to the psychological pathways through which literacy operates.Objectives: This study examined …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 121–126 Read article
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Theoretical and Experimental Investigation of Non-linear Vibration Response of an IPMC Actuator Subjected to Alternating Electric Potentialf
Abstract: The precise predication of stable and unstable zone for an applied excitation voltage and frequency is of importance in many micromechanical systems utilizing ionic polymer metal composite (IPMC) as the actuator. A linear dynamic model thus will no longer be valid for IPMC actuator having low thickness and thus more flexible. In this article, non-linear vibration characteristics of a silver (Ag) based IPMC actuator is studied under alternating electric potential …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 11–26 Read article
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Novel Distance Measure for Linear Diophantine Fuzzy Sets
Abstract: Unlike other fuzzy set theories, the theory of Linear Diophantine fuzzy set (LDFS) aims to overcome uncertainties via the reference parameters. The Parameters provide flexibility and efficiency to LDFS in handling the uncertain data. In this study, we introduce new distance measure for linear Diophantine fuzzy sets. Then, we studied the properties of proposed distance measure. Finally, we established a new similarity measure for LDFSs based on distance measure.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 38–45 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments · Vol. 8, Issue 1, 2021 · pp. 11–25 Read article
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The Impact of Linear Infrastructure on Land Utilization using GIS
Abstract: In all urban centers of the Tigray region and the nation as whole, there is inefficient urban land utilization and development. The bottlenecks in the supply of serviced land are caused by inadequate provision of infrastructure and services. Moreover, the government often provides arterial infrastructure, leaving the provision of secondary and tertiary infrastructure to individuals or private sector developers. As a result private sectors or individuals assembled raw land only. …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 64–74 Read article
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Bayesian Inference to Time Series Data Mining
Abstract: The time series data mining (TSDM) framework is a fundamental contribution to the field of time series analysis and data mining in the recent past. Methods based on the TSDM framework are able to successfully characterize and predict complex, nonperiodic, irregular and chaotic time series. The TSDM methods overcome limitations including stationarity and linearity requirements of traditional time series analysis techniques by adopting data mining concepts for analyzing time series. …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach
Abstract: This article presents a new approach for the selection of Belt Conveyor of screening creaser on the basis of their performance. This article includes the effective factors like angle of response, load capacity of motor, raw material load capacity, raw material dimension. These all important factors affect the performance of Belt Conveyor Assembly. Therefore, determination of the best Belt Conveyor is basically a Multi-Attribute Decision Making (MADM) problem. Our aim …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article
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Fast All Sum Algorithms on mesh of trees and Multi-Mesh of Trees architecture
Abstract: The Network encapsulates the properties of Mesh of Trees and Multi-Mesh Network, forming a Multi Mesh of Trees network architecture and, hence yielding a lot of topological benefits. Several parallel algorithms have been successfully mapped on this architecture to solve various problems. In this paper, we propose an algorithm which may play a very important role in computations ranging from finding a sum to a high degree of calculations required …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 6–11 Read article
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Quartz Crystal for Thin Film Thickness Measurement using Embedded Software (PSoC)
Abstract: Programmable System on Chip (PSoC) based embedded read-out design for Quartz crystal which measures thickness of a thin film during deposition has been describe in this paper. Excited quartz sensor to its resonance frequency of 5 MHz, kept nearby the substrate measures the deposited film thickness by monitoring change in quartz resonance frequency. The change in the quartz crystal resonance frequency due to deposition decreases linearly with thickness. The change …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 1, Issue 3, 2013 · pp. 17–23 Read article
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Application of TOPSIS Method for Selection of Best Natural Fiber for Retrofitting of Structure
Abstract: Selection of best natural fiber is multi-criteria decision problem including both quantitative and qualitative criteria. Decision-making problem is the process of finding the best option from all of the feasible alternatives. In this paper, from among multi-criteria models in making complex decision and multiple attribute models for the most preferable choice, technique for order preferences by similarity to ideal solution (TOPSIS) approach has been dealt with. Technique for TOPSIS is …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 34–40 Read article
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Secure Data Processing and Transmission Using Machine Learning Techniques
Abstract: The amount of data created by smart devices has drastically increased in recent years as a result of the quick technological improvements in those devices and their use in a variety of applications. As a result, the big data (BD) created by various devices may be too much for typical data analytics tools to handle. However, this exponential expansion of data provides numerous types of attackers with new chances to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 22–30 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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Parametric Quantile Regression using Quantile-based Asymmetric Family of the Distributions
Abstract: Quantile regression is used for finding the effects of covariates on different quantiles of the response variable. The contribution of this article is to develop a theory of quantile regression using the Quantile-based asymmetric (QBA) family (similar to GAMLSS for mean regression) and then apply the proposed approach for analyzing COVID-19 data. More precisely, we estimate regression quantiles and investigate the asymptotic estimators under a generalized linear modeling framework, but …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 3, 2022 · pp. 54–66 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article