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1741 articles for “process model”
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BER Improvement in Fading Conditions Using QAM
Abstract: AbstractThe future mobile network requires huge capacity, coverage, energy efficiency and spectral efficiency. In different fading conditions, like Gaussian noise channel, Rician fading and Rayleigh fading conditions, higher order QAM can improve spectral efficiency by improving bit error rate. Additive white Gaussian noise model describes the effect of random processes in nature. Rayleigh distribution has static time varying nature on the receiver side. The envelope of Rician fading is small …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 1–6 Read article
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Sentiment Analysis of Twitter Data for Better Services of Airlines Using Classifier-Model Algorithms, AI, and NLP Techniques
Abstract: The rising attractiveness of social media sites and usage of social websites is to share information. Tweet, for instance, is a stage in which audiences direct, and examine posts recognized as “tweets,” and engage together in one-of-a-kind communities through feedback, comments, tweets, and reviews. There are so many companies that want tweets, comments, reviews, and analyses on their products and services, so they can improve their services, products, and customer …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 29–46 Read article
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Conservative PDES on Multicore Computer and Its Performance Analysis
Abstract: AbstractThe computer development phase has entered into the era of multicore which provides the platform for the simulation community to exploit it for development of parallel simulators. Parallel Discrete Event Simulation (PDES) thus is the best simulation methodology used to analyze the systems in scientific and engineering domain. This paper describes the development of PDES which can run effectively on multicore computer with Windows OS directly. Through this research a …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 9–14 Read article
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Thermo-Mechanical Behavior and Intelligent Optimization of Contact Temperature During Ultrasonic Vibration-Assisted Single-Pole Magnetic Abrasive Finishing of Zinc Alloy
Abstract: This study proposes a new integration of the experimental analysis, multi-physics finite element modelling (FEM) and machine learning (ML) optimisation of contact temperature (CT) in ultrasonic vibration-assisted single pole magnetic abrasive finishing (UV-SPMAF) of zinc alloy. The three gaps of the research are addressed: (i) The absence of a multi-physics FEM model that can couple electromagnetic, thermal and structural fields for UV-SPMAF of zinc; (ii) No quantified contribution of the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Smart Diagnosis Using Machine Learning
Abstract: We discuss a plausible way for smart diagnosis. Theuse of Deep Learning in image processing can enable us to build Models to detect the presence of ailments in Diagnostic Images such as X-Ray or CT Scans performing as a diagnosis tool. These trained models can be effortlessly added into an easily accessible portal like a website or a phone application providing ease of use even for a non-practitioner. Further, we …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 39–45 Read article
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Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article
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Language Independent Emotion Quantification using Non-linear Modelling of Speech
Abstract: Abstract: At present, emotion extraction from speech is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into consideration the speaking styles of a person, vocal tract information, timbral qualities and other congenital information regarding his voice. Our speech production system is a nonlinear system like most other real-world systems. Hence, the need arises for modeling our speech information using …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 24–30 Read article
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Research and Industrial Insight: Parallel Computing
Abstract: A model for joining parallel and appropriated processing (PDC) all through an undergrad CS educational modules. That educational programs is intended to acquaint understudies right on time with parallel and appropriated registering points and to open understudies to these subjects over and over with regards to a wide assortment of CS courses.
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 3, 2016 · pp. 23–24 Read article
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Conceptual Design and Automation of Cutting Process: A Case Study of Power Switch Assembly
Abstract: Automation is a key parameter of interest in all production processes. Raising the productivity is the main goal of every industry. The best way to improve production rates (productivity) is the use of special purpose machines which are widely used for special kinds of operations. In the present paper, authors have analyzed each and every process of power switch assembly manufacturing. By adding or modifying an automatic process, assembly cost …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 1–9 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Exploring the State-of-the-art in Plug-in Hybrid Electric Vehicle Design and Modeling: A Review
Abstract: This document provides a thorough explanation of the process involved in designing and developing plug-in hybrid electric vehicles (PHEVs). A viable way to lessen greenhouse gas emissions and reliance on conventional internal combustion engine vehicles is through plug-in hybrid electric vehicles (PHEVs), which have gained popularity in response to growing concerns about environmental sustainability and the depletion of fossil fuels. The main elements, design factors, difficulties, and developments in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 8–15 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Estimation of Oxygen and Carbon Dioxide Compositions in Coal Combustor: CFD Approach
Abstract: The present work is based on the software ANSYS FLUENT Workbench 15.0. This approach aims to provide an improved estimation of O2 and CO2 compositions from combustion of pulverized coal when the coal was injected pneumatically. This paper presents state of art in the field of pulverized coal combustion using computational fluid dynamic (CFD) approach. The mathematical models used for the combustion of pulverized coal includes realizable K-ɛ model for …
Published in Recent Trends in Fluid Mechanics · Vol. 2, Issue 3, 2015 · pp. 51–55 Read article
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Research on Selection Method of the Optimum Alternative Using Improved AHP Method in NSDL Environment
Abstract: In this paper, we have considered the development of a decision-making tool to optimize the design of the ship-roll fin stabilizer using improved analytical hierarchy process (AHP) in a network-oriented system description language (NSDL) environment developed by combining the advantages of Petri nets and object-oriented programming languages. First, we have considered the network-oriented system description language NSDL, a new software development tool that combines the advantages of Petri nets and …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 46–56 Read article
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A Review on Wound Healing: Pathophysiology, Animal Model and Role of Biomarkers
Abstract: AbstractBlood cells, extracellular matrix, parenchyma cells, and soluble mediators are all involved in the physiological process of wound healing, which is highly complex, dynamic, interactive, and well-regulated. The 4 stages of wound healing are separated out. Hemostasis b. Inflammation c. Proliferation d. Remodeling. Many animal models are employed in the examination of wound healing activities because a large variety of models have been produced for examining different components of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 3, 2022 · pp. 29–39 Read article
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Enhancing Dimensional Accuracy of Affordable 3D-Printed Objects Via Solid Model Tuning For Industrial Manufacturing
Abstract: In the industrial applications of 3D printing (3DP) technologies, achieving precise dimensional accuracy and precision as well as improving surface quality are essential goals. With a focus on cost-effective engineering applications, this experimental research examines how solid model geometry tuning improves the internal and exterior dimensional accuracy of inexpensive 3DP technologies. Dimensional errors in the X, Y, and Z directions were meticulously measured on 3D parts made using Material Extrusion/Fused …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 201–210 Read article
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Exploring Technologies for Extractive Text Summarization: A Review of Transformer and Reinforcement Learning Models
Abstract: In recent years, the size of information on the Internet has increased exponentially. Therefore, a solution is needed to transform large amounts of raw data into useful information the human brain can understand. Automatic Text Summarization (ATS) is a part of Natural Language Processing (NLP) that aims to take long texts and shorten them, keeping the most important information in a clear and easy-to-understand way. This research report explores methods …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article