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484 articles for “Computer Networking”
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A Study On Power Losses And Reduction of Power Losses In Power System
Abstract: Now the world's power supply system is a large unit, large grid, high voltage as the main characteristics of the centralized single system. Although the power load of the world's number is powered by such a single large power grid, the demand for quality and safety reliability of energy and power supply is increasing in today's society, and the large power grid cannot meet this requirement because of its own …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 16–25 Read article
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Comparative Performance Analysis of AODV, DSDV and ZRP under Various Network Density and Traffic in MANETs
Abstract: AbstractAs in this day and age, remote turns into a rising field for exploration; portable ad hoc network (MANETs) is a player in remote innovation. In MANETs, there are responsive (AODV), proactive (DSDV) and half breed (ZRP) steering conventions. This paper gives the execution examination of these diverse steering conventions under different system thickness and movement utilizing ns-2 test system. The investigation of this examination gives which steering convention is …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 9–16 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Analysis on Link Prediction Algorithm for Social Network
Abstract: AbstractThe paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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Edge computing: Applications, Challenges and Opportunities
Abstract: Internet of things is a broad term used to describe how the physical things in real life are connected to each other via the logical network. The data generated by these things is stored on the infrastructure called as the cloud. Cloud computing is rapidly moving towards providing the better cloud services to its end users. Some time-critical applications cannot tolerate the high latency of cloud computing. These circumstances gives …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 1–4 Read article
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Home Automation System Using IoT
Abstract: The proposed project puts forward a systematic implementation of internet of things (IoT). Since, the technology is becoming more advanced day-by-day. Therefore, manual systems are being replaced by the automatic system. Today, the internet has become an integral part of life. The idea that devices can be controlled remotely across the world is made possible by IoT—the interconnection of devices via a global network. This paper deals with the home …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 1, 2023 · pp. 24–30 Read article
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Solving Non-Linear Equations for Thevenin and Norton Circuits using Analog Behavioural Modelling with PSPICE Software
Abstract: A new approach useful for circuit designers for implementing circuit parameters described by non-linear equations and Thevenin and Norton network equivalent parameters represented by equations is given. The content is divided into two parts, (a)Solving Non-linear equations using analog behavioral modelling using Pspice software (b) Thevenin and Norton equivalent circuit parameter determination for pure resistance DC circuits using SPICE simulator. The non-linear equations are solved using network elements/models described by …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 28–36 Read article
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Automated Headlight Intensity Controller and Speed Control in Vehicles
Abstract: AbstractHeadlight intensity of vehicles poses a great danger during night travel. The drivers of most vehicles use high bright beam while driving at night. This causes inconvenience for the person travelling from the opposite direction. Person experiences a sudden blaze for a short duration. When these headlights shine brightly, they cause a temporary blindness to a person, resulting in road accident during night. To avoid such incidents, we are designing …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 1–5 Read article
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Advancements and Challenges in Computer Hardware Technology Management: Innovations, Performance, and Future Directions
Abstract: Modern computing systems depend on computer hardware technology for performance, efficiency, and innovation. Processing units, memory storage, input/output devices, and networking hardware are covered in this article. It emphasizes how multi-core processors, SSDs, and integrated circuits have increased computational power and speed. The essay also discusses quantum computing, edge computing, and the IoT, which will change hardware. Finally, the essay discusses hardware design challenges such power consumption, heat control, and …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Available Transfer Capability (ATC) under Deregulated Environment
Abstract: The structure of the power industry is moving towards deregulated environment from the regulatory environment (monopoly). With deregulation taking place in the power industry, it introduces a more competitive environment in terms of free choice of suppliers for the trading of electricity. Monopolies of an industry will lead to a poor performance from the sector as there are no competitions for the sole company to strive for improvement. It will …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 85–88 Read article
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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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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 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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5 Pen PC Technology: A Portable Computer
Abstract: A recent advancement in the field of pen computing is known as “5 pen technology.” Computers have a considerably bigger impact on our lives than most of us may realize. Becoming proficient in computer software has become essential for most occupations. The ENIAC, the first computer ever created in 1943, had more power than several hundred contemporary PCs and was the size of a big room. Integrated circuit-based modern computers …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 2, 2023 · pp. 29–34 Read article
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Design and Implementation of a Long Range Decentralized Vehicular Network
Abstract: The paper proposes a technique for establishing a long range decentralized vehicular ad-hoc network, with the aim to solve on-road traffic problems faced by drivers and other stakeholders such as cyclists and pedestrians. The proposed technique doesn’t make use of internet connectivity and hence is suitable for both, underdeveloped and developing countries as well. The technology can also be used for navigation purposes and sensing the environment (surrounding vehicles) for …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 24–30 Read article
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Real-time Facial Recognition with Convolutional Neural Networks for Personalized Music Therapy
Abstract: In this project, a web-based application has been developed that integrates computer vision-based facial recognition, multiple algorithms, and machine learning approaches. The given system obtains a user’s emotions in the real-time frame by analyzing facial expressions such as eyes, mouth, the forehead, and so on. It detects emotions like happiness, sadness, that is neutrality, or rock. For a given detected emotion, language, and a user’s chosen artist, the system recommends …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 67–76 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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Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Cloud Based Pool Water Monitoring System using Internet of Things
Abstract: The Internet of Things has a concept where internet extends into actual world grasping to daily objects. The IoT gives the power to sense and control these objects over existing network. This gives rise to alliance between physical world and computer based platforms. The results of this alliance are higher accuracy, improved efficiency, reduced economical cost and less human involvement. This technology has produced smart cities, smart homes, advanced healthcare …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 1, 2018 · pp. 1–7 Read article