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471 articles for “computer devices”
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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A Survey on Artificial Intelligence Techniques for Cybersecurity
Abstract: Abstract: In this digital world, cyber security expert faces a lot of adverse circumstances which supports to avoid rounds of security cracks and responds to the attacks. Artificial intelligence (AI) enables the technology that transforms our lives. In our homes, cars, and devices, it will make everything “smarter” and more efficient. Artificial intelligence is used by specialists as a power to undertake through cyber-assaults. Presently, safety manager uses this technology …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 5–13 Read article
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Design and Analysis of MEMS based Piezoelectric Accelerometer Having Square Shaped Proof Mass
Abstract: In any spacecraft launching program, the most prominent issue is to locate the spacecraft or satellite, in particular orbit of any particular planet. Now, while making the position of that spacecraft in space, abrupt changes in velocity occur and these velocity changes can break the controlling circuitry of the system since the velocity changes occur at very high environmental pressure. The designed device converts the deflections due to mentioned pressure …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 72–78 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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IoT and ML Solution to Allergic Rhinitis
Abstract: In this project a preventive rehabilitation is proposed for allergy patients using neural networks, IoT and the newly emerged blockchain technology. A wearable device which senses temperature, humidity and the AQI of the patients surroundings continuously keeps track of these parameters and through cloud computing the chances of an allergy to happen is predicted and the output is then sent back to the device, which in turn either warns the …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 25–34 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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FPGA Implementation of Variable Step Size Adaptive Filters for Signal De-noising
Abstract: This paper presents the design and implementation of a variable step size 40 order adaptive filter for de-noising acoustic signals. Four different adaptive filters (LMS, Sign-Data, Sign-Error and Sign-Sign) were designed using three different structures, viz., direct form, transposed and the proposed structure and their de-nosing performance was compared. Further, the filters were implemented on three different Field programmable gate arrays (FPGAs), viz., Spartan 6, Virtex 6 and Viretx 7 …
Published in Journal of Semiconductor Devices and Circuits · Vol. 1, Issue 3, 2014 · pp. 7–19 Read article
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Detection of Intrusion for Achieving Security in Mobile Ad Hoc Network
Abstract: AbstractMobile means moving, and ad hoc means temporary, with no fastened infrastructure; therefore mobile ad hoc networks area unit a sort of temporary network within which nodes area unit moving with none fastened infrastructure or centralized administration. Deployed in 1990s, mobile ad hoc networks are wide researched for several years. Ad hoc network could be an assortment of nodes that is connected through a wireless medium forming a pace dynamical …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 21–25 Read article
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A General Survey on Internet of Things based Smart Cities
Abstract: Now a day’s Global World become a digitalized. Everything will be based on internet. The use of internet will become a part of people life. Evolution of cloud computing and IOT is increase with steady rate. All the devices we are using in our daily life are communicated with IOT. IOT is connected with Smart Homes, Industry, Smart cities, Education and many more. Apart from other one of the major …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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IoT Meets Cloud: A Smart Integration
Abstract: Digital transformation and industry change are fueled by a combination of cloud computing and the Internet of Things (IoT). While cloud computing gives scalable resources for processing, storage, and advanced analytics, IoT allows devices to gather, distribute, and analyze data in real time. This connection supports big data and machine learning-driven applications and enhances data management and operational efficiency across industries, such as smart cities, industrial automation, healthcare, and agriculture. …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 26–34 Read article
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Server Based Operating System (OS) Research Direction for Future Smart World Using Internet of Things
Abstract: AbstractCommunication and data processing over Internet has become a research issue to the researchers of Internet of Things (IoT). Cloud computing is already familiar at present. Cloud computing offers servers, storage, databases, networking, software, analytics and more, over the Internet (“the cloud”). Companies offering these computing services over Internet (“the cloud”) and typically, charge for cloud computing services based on usage, similar to how you are billed for water or …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 26–32 Read article
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Survey on Security in Android
Abstract: Android OS has become one of the most famous mobile phone OS which is continuously deployed by many smartphone mobile devices assemble for a range of platforms.in this world after the internet and computers smartphones is the third revolution, On the downside, Android is also very fast becoming platform for security attacks. Android security have been based upon a privilege-based mechanism that prohibit access of third-party Android apps to demanding …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 3, 2021 · pp. 1–6 Read article
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T-π Network Simulation and Thevenin- Norton Equivalent Circuit Values From Laplace Description Using Pspice Software
Abstract: From the conversion methods of T-π (star-delta) for impedances circuits, the behavioral modeling of Pspice simulation program is used to obtain equivalent circuits using LAPLACE option. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. There are many ways of expressing Thevenin/Norton equivalent circuit parameters such as (a) as real numbers for pure …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article
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The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System
Abstract: The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article