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334 articles for “Network measures”
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Emerging Paradigms: Leveraging Artificial Intelligence and Machine Learning for Enhanced Wireless Network Security
Abstract: Wireless networks have now become an indispensable component of our contemporary communication infrastructure, offering both connectivity and convenience. Nonetheless, the increasing complexity and constantly evolving nature of wireless networks present substantial security challenges. This work investigates the utilization of artificial intelligence (AI) and machine learning (ML) techniques to tackle these security issues in wireless networks. We delve into the principles and practices of applying AI and ML algorithms to enhance …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 18–25 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Analysis of a New Approach to Admission Call Control
Abstract: This study presents a new method of managing call admission in wireless networks using a resource reservation technique. The system under study comprises a defined number of operating devices, standby units, and technicians assigned to repair failed devices. In this method, the failure and repair of devices are assumed to follow an exponential distribution. Whenever a device fails, a standby unit replaces it to maintain seamless functionality, and the failed …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 01–06 Read article
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Load Balancing Approach for Proposed Hybrid Scheduling Algorithm in Heterogeneous Networks
Abstract: AbstractRecent developments in multiple technologies evolving nowadays provide users with broadband services of high quality and seamless mobility. Wireless networks comprising of third generation (3G) and fourth generation (4G) are on the verge to provide wide coverage and good mobility capabilities. All these high quality wireless networks have been deployed within one region overlapping each other, hence generating a heterogeneous network for wireless access which can be represented as 4G …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 1–9 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 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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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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Analyzing the Impact of Offer Load, Mobility and Energy Related Issues on Simulation Areas of Reactive and Proactive Routing Protocols in MANETS
Abstract: MANETS is a collection of independent mobile nodes that can communicate through each other via radio waves. The mobile nodes that are in radio range can directly communicate whereas others need the aid of intimidate node to route the packets. These networks are fully disturbed and can work with any place without the help of any infrastructure. This property makes these networks highly flexible and robust. In this project, the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 2, 2014 · pp. 17–21 Read article
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Air Quality Monitoring System
Abstract: With advancement of technology mankind is facing newer problems at personal, social and environmental levels. Urbanization of world culture has created serious health concerns of citizen of smart cities. Increasing level of air pollutants such as carbon monoxide, carbon dioxide, sulphur oxide, nitrous oxide has impacted on personal health of citizens of world. So the quality of air and the amount of air pollutants need to be measured in order …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 6–10 Read article
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Detecting Spambot as Associate Degree Antispam Technique for Net Bulletin Board System
Abstract: Spam is one in every of the foremost widespread and conjointly the most relevant topic that must be understood within the current state of affairs. Everybody whether or not it's going to be a little kid or associate degree senior citizen square measure exploitation emails everyday all round the world. The state of affairs that we have a tendency to square measure seeing is that just about no one is …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 25–29 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Effect of the Background Harmonics and the Network’s Impedance Characteristics on the Operation of Shunt Capacitors
Abstract: This paper deals with the possible adverse harmonic conditions associated with the connection of shunt compensating capacitors to certain network buses. It takes into account both the daily profile of the voltage background harmonics and the frequency dependence of the network's input impedance at these buses. These two factors will be incorporated in four established standards and recommendations used for assessing the severity of the harmonic pollution in the network. …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 1, 2013 · pp. 22–32 Read article
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Technical Security Known as Cyber Security: A Review
Abstract: The action of protecting our personal details and information system like networks, personal computers, and applications etc., with proper procedure and technological security measures is known as Cyber Security. Firewalls and antivirus software are essential for safeguarding personal details but not sufficient for the security. As our nation is continuously increasing its cyber infrastructure, we must educate our population about it. It is very important for the nation to introduce …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 19–25 Read article
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Information Security Measures for Web Based Digital Library Management System
Abstract: Growing access and demand of electronic information, the academic libraries tend to operate their services in computerized network environment. The libraries are rapidly coming out from their hybrid library identity and functioning in fully web-based digitized infrastructure on the surge of ICT. The modern web-based digitized appearances of academic libraries are may be potentially vulnerable for range of cyber security threats and attacks due to basic ignorance and security flaws …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 90–98 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Gray Wolf Optimization Based Clustering Using Network Parameters for WSN Applications
Abstract: Modern communication systems need to use energy. This is very important for the Internet of things which’s a big network of smart devices that talk to each other. The Internet of Things is becoming very popular because it is useful. This paper is about a way to send data in a Wireless Sensor Network. We made a routing protocol that works well in a simulated environment. Our approach is to …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 33–42 Read article
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Importance of Network Architecture: An Overview
Abstract: Network architecture is the design of a communications network. It includes the physical and logical layout of the network, the framework of accepted standards and specifications of elements, equipment, services, protocols and functions, growth and change assumptions, and high-level operational principles and procedures. Modern networks encompass a variety of architectural and design principles, which must be understood and articulated by a network organization in order to maintain best practices. Standardized …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 34–38 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Artificial Neural Networks for Brain Controlled Artificial Legs and Brain Computer Interface (BCI)
Abstract: AbstractThe whole system is guarded with the support of highly developed microcontrollers and digital signal processors. The signals square measure taken out from the human brain with the assistance of electroencephalography technique. The person will perform operations like walking, running etc. simply by their thought. These methods are going to be significantly appropriate for people who lose their legs in accidents and the planned system is hundred percentages possible within …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article