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402 articles for “data processing”
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A review on Identification of Block Feature Through Step
Abstract: One of the major challenges in the implementation of CIM, which is anticipatedto meet the needs of the present manufacturing industry in terms of completeautomation of its operations, is the combination of CAD package and CAM system viaCAPP. To achieve complete automation, product data created throughout the designand modelling process and saved in the database of CAD packages (systems) shouldflow directly to CAPP and from CAPP to CAM for seamless …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 15–20 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 Read article
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Study to Assess the Effectiveness of Planned Teaching Program on Knowledge, Attitude and Practice Regarding Processing of Instruments Among Nursing Officers Working in Selected Primary Health Center at Raichur
Abstract: Background: Healthcare facilities need regular supply of clean and sterile instruments which helps in prevention of hospital infection. Hence it is essential for nurses who will be with patients round the clock to have knowledge, practice and good attitude of processing of instruments. Objectives: The aim of the study was to assess the effectiveness of planned teaching program on knowledge, attitude and practice regarding processing of instruments among nursing officers. …
Published in International Journal of Nursing Critical Care · Vol. 5, Issue 2, 2019 · pp. 37–47 Read article
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Internet of Thing
Abstract: We are entering a new era of the computing technology that many are calling the Internet of Things (IoT). Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems call it what you want, but it is happening, and its potential is huge. We see IoT as billions of smart, connected “things” (a sort of “universal global neural network” in …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 5–8 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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Review on Internet of Things
Abstract: The area unit coming into in an exceedingly new era of computing technology, i.e., Internet of things (IoT). IoT could be a variety of “universal international neural network” within the cloud that connects different types of things. The IoT is wisely connected Objects that consist of smart machines connecting and communicating with each other machines, environments, objects and infrastructures and the Radio Frequency Identification (RFID), and network technologies can rise …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 20–22 Read article
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Information Processing: Key to Knowledge Building in Architectural Design Studio
Abstract: In the information age, easy information does not allow systematic processing of the data to generate knowledge. The paper is concerned with issue as how to prepare future designers to practice knowledgeably in rapidly transforming professional world. Heightened information sources at fingertips without its authenticity being one of the serious threats. There could be various methods to help students and young minds to gain knowledge through processing information, which can …
Published in International Journal of Town Planning and Management · Vol. 1, Issue 2, 2015 · pp. 35–50 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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On Line Process and Regulator Control (Detailed Version)
Abstract: Modern manufacturing practices and advancement in process control technology are accompanied and faces two problem, namely, (i) to provide quality goods and services and (ii) to contend with limited resources. Statistical modelling methods can provide broad and effective means to address this problem. Process control practitioners, in the Statistical Process Control (SPC) and the Automatic Process Control (APC) areas have endeavoured to integrate SPC and APC for more than half …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 2, 2018 · pp. 37–62 Read article
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ARM Assembler Using Python
Abstract: An assembler is a programme that converts fundamental computer instructions into a bit pattern that can be used by the comp uter's processor to perform basic functions. These instructions are referred to as "assembler language" by some and "assembly language" by others. The ARM (Advanced RISC Machine) assembler is implemented in Python scripting language in this project. Assembly code is executed by processors inside a native executable, which is a …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 12–20 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article