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334 articles for “Network measures”
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Melody Extraction from Polyphonic Music Using Deep Neural Network: A Literature Survey
Abstract: Abstract: Melody extraction plays an important role in the field of Music Information Retrieval (MIR). It has emerged as one of the active research problems in the MIR applications. Nowadays, the music providers have to facilitate searching of music based on their contents or recommend music based on user’s interest having similar contents. Melody extraction is necessary to fulfil these user-interest driven searching and recommendation. The main objective of melody …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 16–21 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Prevention of Water Overflows and Leakages at MPCOE Campus
Abstract: Water is one of the fundamental necessities of human life, essential for a wide range of daily activities. People rely on water for drinking, cleaning, cooking, irrigation, and industrial processes. To meet these needs, water is often pumped from ground storage to overhead tanks. However, the use of non-automated switches to operate pumping machines can lead to significant issues, such as water overflow and unnecessary electricity consumption. The proposed system …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 43–51 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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EMBEDDED CONTROLLER FOR ENERGY EFFICIENT OCCUPANCY MONITORING
Abstract: Air conditioning systems are the important part for providing ambient atmosphere inside buildings, for that building energy management systems (BEMS) are used. Ambient atmosphere means temperature control, humidity control, electronic equipment’s control, etc. The system consists of an embedded processor with an Internet of things (IoT) platform integrated with IR sensor and camera systems. The IoT devices have several sensors for measuring various parameters like temperature, humidity, inlet air coming …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 6–11 Read article
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Transforming Human Resources Leveraging AI Across the Associate Lifecycle for Strategic Success
Abstract: AI is taking the lead in changing the game in human resources by mitigating challenges and optimizing processes throughout the entire associate lifecycle. From pre-hire, AI helps with interview bias, enhances hire projections, and supports talent acquisition with predictive analytics. Once onboarded, AI helps with compensation benchmarking, automates performance feedback with the mitigation of bias, and analyzes associate sentiment through NLP and LLMs. In the middle of the life cycle, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 30–36 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Study of Implementation of VANET Network on Intervehicular Communication System
Abstract: The vehicular ad-hoc network (VANET) is an application of mobile ad-hoc network (MANET) allowing the communication between road transport vehicles and ensuring safety. The road accidents are increasing day by day leading to some protective measure for road safety. Vehicle to vehicle communication is new concept for traffic safety. VANET provides the communication between the close vehicles or between the vehicles to roadside equipment. The intelligent transport systems (ITS) are …
Published in Journal Of Network security · Vol. 4, Issue 1, 2016 · pp. 7–13 Read article
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Measuring Factors that Influence the Success of App based Mobile Commerce
Abstract: The usage of smart phone significantly increased from 2007 onwards after Google and Apple has launched their respective Android and iOS Mobile Operating System. With advancement in the network technology, internet connection speed, slash in the mobile phone connection operator tariff, location based service, user friendly multitouch interface, large screen size multi giga bytes of RAM and storage, and much more the usage of smart phone has been reached to …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Analysis and Design of Frequency Reconfigurable Microstrip Patch Antenna using PIN Diode
Abstract: A reconfigurable antenna provides modify dynamically its frequency and radiation properties, which will provides the intentional redistribution of the RF currents over the antenna surface. Also this type of antennas provides the dynamical response. The difference between the smart antennas is its lies inside the antenna rather than in an external beamforming network. The proposed structure was simulated by using the High Frequency Structure Software (HFSS) version 15.0. The simulated …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 17–23 Read article
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Effect of Fragment Size and Contention Window on the Performance of IEEE 802.11 WLANs
Abstract: Wireless communications is, by any measure, the fastest growing segment of the communications industry. The IEEE has standardized the 802.11 protocol for wireless local area networks. The IEEE 802.11 standard has defined two different access mechanisms in order to allow multiple users to access a common channel, the distributed coordination function (DCF) and a centrally controlled access mechanism called the point coordination function (PCF). DCF is a carrier sense multiple …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 2, 2016 · pp. 6–12 Read article
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Design of a Powerful Brightness Measurement and Exposure Control Method for Real-Time Video Recording
Abstract: The auto exposure control (AEC) device in a video camera selects the right aperture length, advantage putting, and publicity time such that the publicity best suits the scene brightness. although some strategies to AEC had been proposed, maximum of them lack smart mechanisms to quickly estimate the proper exposure whilst users suddenly alternate the scene. The method to Match the brightness of the scene, the Auto Exposure Control (AEC) system …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 1, 2022 · pp. 1–5 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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Reliability Modeling, Performance and Cost-Benefit Analysis of Optical Fiber Network in DCRUST
Abstract: AbstractThis paper includes the survey of optical fiber network in DCRUST and its reliability modeling aspects to evaluate reliability of that optical fiber network. Model in this paper has an operative unit which is optical fiber cable and a hotstandby unit which is an optical fiber ring provided as a redundant fiber in DCRUST. This protection path is necessary in optical fiber to reduce the wastage of time and to …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 8–15 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Eu3+/Gd3+ doubly doped ions in SrCO3-Al2O3-B2O3-SiO2 glasses for optical and White light applications
Abstract: The present work deals with the optical analysis of SrCO3-Al2O3-B2O3-SiO2 glass materials doubly doped with Eu3+/Gd3+ ion were prepared by melt quenching technique. These are studied by XRD, physical properties, FITIR, optical absorption and luminescence spectroscopy. The XRD measurements are conducted to verify the amorphous form of prepared material and structural modifications can be explained by the FTIR spectra. The thermal stability of the glass matrix is measured by the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Safeguarding Data and Networks from Cyberattacks with Advanced Technology and User Awareness
Abstract: In the realm of information technology, the role of cybersecurity is of paramount importance due to the escalating concern surrounding information security in the contemporary era. Cybersecurity is pivotal in mitigating the pervasive threat of cybercrimes, which transpire on a large scale each day. Governments and organizations globally are actively implementing multifaceted strategies to thwart these cyber threats. Despite various preventive measures, apprehensions regarding cybersecurity persist. This essay predominantly delves …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 44–49 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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A Review of Comparison between Routing Protocols MANET
Abstract: AbstractThis paper introduces a wide review on the work of normal MANET (versatile ad hoc arrange) steering conventions. The steering conventions utilized as a part of this review incorporate AODV, DSR and DSDV which comprise of a blend of responsive and proactive conventions. The paper is an overview of research on steering conventions for MANET. The paper has been made to look at three surely understand conventions AODV, DSR and …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 1, 2017 · pp. 20–24 Read article