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225 articles for “linearity of data”
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Multisensor Data Fusion based Intelligent Temperature Measurement Technique
Abstract: Design and validation of a temperature measurement technique using fusion of temperature sensor like resistance temperature detector (RTD), and thermistor is proposed in this work. The objective of proposed work is to design a technique using fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A fuzzy logic system is trained to produce an output for a temperature measurement system which is (a) more linear input-output characteristics as …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 1–13 Read article
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A Review Paper on Comparison of Algorithms for Supervised Machine Learning
Abstract: AbstractSupervised learning attempts to create calculations that help deliver general speculations, which is able to do forecasts about future occasions. The objective of supervised learning is to manufacture a model of the segregation of class names in terms of predictor components. The classifier produced accordingly is then used to allocate class marks to the testing data where the estimations of the indicator elements are known, yet the estimation of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 11–16 Read article
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Underwater Noise Radiated by Fishing Vessels in Visakhapatnam Fishing Harbor
Abstract: The sound has always been a better measure to understand the oceans. Among the various sources of underwater noise, mainly physical, biological and anthropogenic, it is seen that through the increase in anthropogenic noise in the oceans, the ambient noise levels are rising. Fishing vessel radiated noise has been a major concern in the fisheries acoustic scientific community due to the possible effects on altering the natural activities of the …
Published in Journal of Offshore Structure and Technology · Vol. 6, Issue 1, 2019 · pp. 28–38 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Indoor Room Air Conditioning Using External Enclosure
Abstract: This paper presents a new air conditioning system using an external air chamber enclosure. The system is based on evaporative refrigeration technique humidifying hot air from the environment by means of a new design humidifier. Temperature at the air chamber is set up according to the required comfort conditions. The air chamber plays the role of a heat collector from indoor room radiative energy. This new system avoids thermal gradient …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 7, Issue 2, 2020 · pp. 7–21 Read article
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Comparing Results of a Study on Mathematics Instruction in English at Diploma College in Solapur District
Abstract: Study programmes at the Diploma College in Solapur include mathematics courses, which are instructed in English. Comparing the educational outcomes in the Mathematics study course with the English language of instruction is the primary objective of the paper. We concentrated on the students' proficiency in solving specific linear algebra and mathematical analysis problems. The first-year students in the Diploma study programme in Diploma College, Solapur made up the research sample. …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 12–18 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Secure Outsourced Computation of Geometric Progression on Vicious Cloud
Abstract: AbstractCloud Computing provides environment to individual, organization and business to store their sensitive data on cloud. One can store their data on cloud due to cost factor. But sometime data can be lost and leaked by suspicious data owner. Individual can also use cloud for platform purposes means cloud can also be used for computation purpose. Computation can be expensive on standalone desktop when resources are limited. In this paper, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 88–91 Read article
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Geo-spatial Predictions of Soil Organic Carbon: A Review
Abstract: Soil Organic Carbon (SOC) plays an important role in conservation of biophysical environment, i.e., biogeochemical cycles, soil fertility, water quality, atmospheric carbon control, temperature control, sustainable land management and food production. Geo-statistical techniques can be useful for precise estimations and preparation of high quality SOC maps essential for planning and monitoring the biophysical environment. Several studies have used geo-statistical techniques successfully for description of spatial patterns, quantitative modeling, spatial predictions …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 2, 2014 · pp. 23–39 Read article
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A Study to Find the Relationship Between Perception of Empowerment and Academic Satisfaction Among Nursing Students of a Selected Nursing College, Kottayam
Abstract: The aim of this study was to evaluate the perception of empowerment in nursing students, investigate the relationship between this perception and academic satisfaction, and explore the potential associations between demographic variables and empowerment perception among nursing students at a designated nursing college in Kottayam. A descriptive correlational research design was employed, and 140 nursing students from the specified college in Kottayam were selected through convenience sampling. Data was gathered …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 3, 2023 · pp. 19–25 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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Predicting the Transport of Carbon Pressured by Variation of Bulk Density and Velocity in Onu Imo River
Abstract: The study of carbon transport in onu - Imo River were carried out to monitor its deposition, this was possible through the rate of migration at different point of discharge. The velocity flow of the river was observed to vary at different wealth condition, but the transport rate from high to low concentration experienced homogeneous velocity of flow thus decreased in concentration with respect to change in distance of six …
Published in Journal of Water Pollution & Purification Research · Vol. 7, Issue 1, 2020 · pp. 20–30 Read article
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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An Interactive Animatronics for Design and Implementation with Analysis
Abstract: Animatronics is a technology that involves the use of robotic devices to create life-like movements and actions in mechanical figures. In recreational games, the animatronic should be recognized as human companions in order to establish effective interaction situations to improve the recognition and performance of as a mediator for relationship. This work covers the design and implementation of human recognition of an electric dragon using a depth camera (Carmine by …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 1–5 Read article
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Unified Mass–Energy Dissolution Cosmology (UMEDC): A Staged Framework for Cosmic Energy Transformation and Late-Time Acceleration
Abstract: The ΛCDM model successfully describes the universe’s expansion but remains fundamentally descriptive: it assigns fixed densities to matter, dark matter, and dark energy without providing a unifying physical mechanism behind their coexistence or evolution. In this work, we introduce the Unified Mass–Energy Dissolution Cosmology (UMEDC), a novel framework based on the staged transformation M → DM → DE, where ordinary matter gradually dissolves into a dark-matter-like reservoir, which subsequently transforms …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 18–34 Read article
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An Exploration on Data Mining for Face Detection based on Real time Face Tracking
Abstract: AbstractData mining has been extensively used to gather meaningful information and to improve the significant relationship for the variables warehoused in large data stores. Machine learning provides the technical basis of data mining. Automatic face recognition research which try to give the computer ability to recognize face to distinguish characters. As a key technology of biometrics face recognition technologies, in public security, information security, financial, and other fields has potential …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 46–51 Read article
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Modelling of Flood in Lagos using Artificial Neural Network
Abstract: Flooding events have caused havoc to live and properties in recent times. Flooding could be caused by several factors some of which are rainfall, temperature, and relative humidity, which lead to rise in water level. The method of artificial neural networks (ANN) was used in this work to model flood occurrence in Lagos, Nigeria. Meteorological data were collected from the Nigeria Meteorological Agency (NIMET) and Nigeria Hydrological survey Agency (NHSA) …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 2, 2018 · pp. 50–57 Read article
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Servo and Regulatory Response of Non-linear Spherical Tank System
Abstract: The highly nonlinear spherical tank system is employed in many process industries for huge storage. The nonlinearity is due to the cross-sectional area of the tank with respect to its height. Thus, the level control of the spherical tank system is a challenging task. The diverse controller methods are existing for level control, in which 95% of controllers employed are Proportional, Integral, and Derivative (PID) controllers. In this paper, to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 6, Issue 2, 2016 · pp. 6–14 Read article
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Nuclear Hulthén potentials for F and G partial waves
Abstract: In the past few decades, several investigation have been made and at the same time a number of theoretical models have also been projected for the nucleon-nucleon scattering in the low and intermediate energy range. These phenomenological models involve large number of free parameters to be fitted to reproduce the physical observables. In contrast to these potentials a two-term four parameter nuclear Hulthén type interaction is proposed to describe the …
Published in Research & Reviews : Journal of Physics · Vol. 10, Issue 2, 2021 · pp. 31–37 Read article
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Computation of the Necking in Bars Without Geometrical Imperfection
Abstract: This paper presents a finite element analysis to compute the neck profiles of smooth, circular cylindrical bars in shear-free grip under uniaxial tensile load. The analysis uses 4-node quadrilateral element with linear displacement variation, as well as 8-node Serendipity quadrilateral element with curved sides and a quadratic variation of the displacement field, for power law hardening materials that follow von Mises plasticity. All the elements are based on isoparametric formulation. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article