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1320 articles for “Computer Applications”
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Managing and Maintaining Container inside Kubernetes Clusters
Abstract: It is an open-source orchestration tool developed by Google, its historical name is bought after it has been changed to Kubernetes, now it is part of the Cloud Native Computing Foundation. Kubernetes is mostly used for maintaining micro servers and containers. Here, container refers to an existing application that has been containerized using Docker and can only be implemented within Kubernetes. Micro servers are used when there are multiple little …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 6–12 Read article
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IOT Based Smart System for Parameter Control Interfaced with Android and Cloud
Abstract: The smart embedded system enables real-time monitoring and control of multiple parameters motor speed, LCD brightness, temperature, and humidity through both manual input and remote Android application. The system consists Raspberry Pi 4 Model B as the central processor, integrated with a DHT11 sensor, L298N motor driver, LCD display, and potentiometers. Cloud connectivity is achieved using Firebase to synchronize data between the hardware and a custom-built mobile application. Real-time feedback …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 11–22 Read article
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VME Interfacing for SLAVE PCB on FPGA by using VIVADO
Abstract: Abstract: In this paper, we have presented a brief review on VME bus interface. Various studies have revealed that the VME bus is a widely used industrial bus, which is applied in military, industrial, aerospace, communication and control applications. It uses the Euro card format, its high performance, and its versatility are some of the reasons that it appeals to a wide range of users. The designer friendly and user-friendly …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 26–29 Read article
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Design and Analysis of Fluid Pressure in Microchannel for Healthcare Application
Abstract: The research article study explores an innovative approach for optimizing fluid pressure within microchannels using 2D integrated microcantilevers. These microcantilevers, strategically placed within the microchannel, serve as sensitive sensors to monitor fluid pressure variations. The computational simulations illustrate the effective approach to achieving improved pressure measurement for cell separation outcomes. The integrated microcantilever can determine the fluid pressure inside the microchannel, and also determine the pressure required for the cell …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 553–565 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Fuzzy based Hybrid Genetic Algorithm for Efficient Cloud Job Scheduling
Abstract: AbstractThese days enterprises need to keep up a lot of uses getting to buy a large number of clients everywhere over the world. Keeping up their own foundation, overseeing programming prerequisites, and taking care of exorbitant excessive internet is difficult. This makes them move towards cloud computing. Cloud computing is a service provisioning strategy where clients can lease any assets like equipment, programming, or stage to build up an application. …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 6–16 Read article
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Marshall-Olkin Exponential Power Distribution and Applications
Abstract: We introduce a new distribution namely Marshall-Olkin Exponential Power Distribution and its properties were studied. The problem of estimation of parameters was considered and validated with respect to a real data on failure times. The stress-strength reliability analysis was also carried out. Average mean square error, Average confidence length, Coverage probability etc. were computed using simulated data. Using the proposed model we developed autoregressive processes with minification structure. Keywords: Marshall-Olkin …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 22–33 Read article
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Analysis of Bioinformatics Software Applied in Computer-Aided Drug Design
Abstract: The integration of bioinformatic tools with computational methods has revolutionized the field of Computer-aided Drug Design (CADD), enabling researchers to expedite the discovery and optimization of new therapeutics. This review provides an in-depth analysis of the bioinformatic tools utilized in CADD, encompassing molecular docking, molecular dynamics simulation, virtual screening, homology modelling, and molecular visualization. We go over the tenets, approaches, and uses of these instruments, emphasizing their value in expediting …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Medical Healthcare Applications
Abstract: Medical imaging may be a heatedly contested field wherever winning merchandise maximize healthcare price by providing the simplest pictures within the shortest quantity of your time to assure correct designation and treatment for patients whereas maximizing the potency of workers and facilities. The advancement of medical imaging has resulted in terribly giant knowledge sets and progressively advanced algorithms golf stroke ever-growing demands on process power and gap plenty of opportunities …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 35–38 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Sound Source Localization Application on Nios II Embedded System
Abstract: This paper presents the software implementation of binaural sound source localization employing interaural time difference (ITD) method on NIOS system built on FPGA Altera DE2-70. Hardware components on NIOS system were configured and generated using SOPC builder. FFT based cross correlation algorithm was developed for ITD computation. The developed system was tested in a semi-anechoic room and used white noise as sound source. Best sound arrival estimation obtained for sound …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 3, 2015 · pp. 1–7 Read article
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Flaws and Defects in Crystals
Abstract: Crystalline materials are defined by their long-range atomic order; however, no real crystal is completely free from imperfections. This article provides a comprehensive overview of the various types of crystal defects and imperfections that occur in solid materials and their significant influence on material properties. Point defects, including vacancies, interstitials, and substitutional atoms, are examined alongside line defects such as edge and screw dislocations, as well as planar defects encompassing …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 1–15 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Application of Virtual Instruments in Data Monitoring & Logging
Abstract: Data Acquisition is the process of real world physical conditions and conversion of the resulting samples into digital numeric values that can be manipulated by a computer. This system is used to measure various parameters in the industry such as pressure, temperature of plant, control room temperature, combustible gas level, humidity, weight of the product, etc. This paper shows a cost effective way to design and develop LabView based Data …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 1–4 Read article
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IOT Big Data Techniques for Smart Home: A Study for Applicable in Small City at India
Abstract: AbstractInternet of Things is the connections of embedded technologies that contained physical objects and is used to communicate and intellect or interact with the inner states or the external surroundings, rather than people to people communication, IoT emphasis on machine to machine communication. This paper represents Big Data deployment in smart homes as it was limited for its applicability in IT industry. The proposed architecture can be applied to different …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 3, 2020 · pp. 20–24 Read article
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Nanofluids: Advanced Synthesis Methods, Innovative Applications, and Future Directions
Abstract: Nanofluids, a novel mixture of nanoparticles and base fluids, is an innovative blend that has appeared as a transformative advancement in heat transfer and thermal management technologies. This study is going to discuss advanced synthesis methods, properties, and extensive applications of nanofluids in various fields, such as biomedical engineering, electronics cooling, solar energy, and machining. Optimization techniques such as nanoparticle selection, concentration control, and computational fluid dynamics modelling are also …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article