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402 articles for “data processing”
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AI in e-Skin: A Study
Abstract: For years, the concept of electronic skin, or e-skin, has captivated imaginations. Imagine a material that could mimic the sensitivity, flexibility, and even the healing properties of human skin. This isn’t just science fiction anymore. E-skin, a network of flexible sensors and electronic components, is rapidly becoming a reality. And now, thanks to the power of artificial intelligence (AI), this technology is poised to revolutionize various aspects of our lives, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Solar Cell Powered Sensors for Iot Applications
Abstract: The Internet of Things (IoT) is one of the most revolutions in a number of industries, where the devices are interconnected to collect, analyze, and act on data in real-time. This network of smart devices is transforming how we live, work, and interact with our environment. The key components of IoT include sensors, communication networks, data processing units, and actuators. Sensors collect real-time data from the environment, which is then …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 Read article
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Steps involved in EEG Signal Analysis for Arm Movement
Abstract: This study delves into the intricacies of analyzing EEG signals associated with arm movement motor imagery. We explore established techniques across three key stages: data pre-processing, feature extraction, and classification for movement identification. By critically evaluating the strengths and weaknesses of each approach, we optimize the analysis pipeline for robust decoding of arm movement intent. This work empowers researchers and practitioners to transform raw EEG data into actionable insights, opening …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 43–55 Read article
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Design, Development, and Testing of 2-Phase Separator
Abstract: As the pressure vessel operates under high internal pressure, the choice of material and accuracy indesign play a vital role in ensuring its safety and reliability. Proper design is essential because anyfailure in a pressure vessel can lead to serious hazards, financial losses, and operational shutdowns.In compliance with the ASME Code (Section VIII, Division 1) and the process data sheet, this articledescribes how to design a pressure vessel. To guarantee …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 29–37 Read article
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Design, development and Testing of 2-Phase Separator
Abstract: AB S T R A C T As the pressure vessel operates under high internal pressure, the choice of material and accuracy in design play a vital role in ensuring its safety and reliability. Proper design is essential because any failure in a pressure vessel can lead to serious hazards, financial losses, and operational shutdowns. In compliance with the ASME Code (Section VIII, Division 1) and the process data sheet, …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Application of Hybrid Wavelet Packet-ANN in Drought Forecasting
Abstract: Drought is the most catastrophic natural disaster that has disastrous effect on human beings, environment and ecology. It is the most frequent of all the natural hazards. In this study, an attempt has been made to forecast the drought using Artificial Neural Network (ANN) for a lead time of 1-month and 6-month. Further, the pre-processing of data has been carried out using Wavelet Packet transform (WPT) and then the pre-processed …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 70–80 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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An Accurate Data Integrity in Edge computing
Abstract: Edge computing is the evolution and more-efficient form of Cloud computing and is the ability to process and store data faster, enabling for more efficient real-time applications. Since Cloud based storage is dependent on having an internet connection. If you want to access your data in your require time and place it will not possible without internet. It costs extra expenses for transferring and downloading records from the cloud. Also …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 25–28 Read article
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Satellite Image Processing Using Erdas Imagine
Abstract: Abstract Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures in short convey data regarding positions, sizes and interrelationships between objects. People in general area unit sensible at explanation data from such pictures, thanks to our innate visual and mental skills. Regarding seventy fifth of the knowledge received by human is in pictorial kind. The paper describes the essential technological aspects of …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 17–24 Read article
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Challenges and Requirements in Internet of Things
Abstract: The Internet of Things (IoT) serves as a technical tool for experts by transforming physical resources into smart entities using existing network infrastructures. Its main goal is to provide intelligent and seamless services to users without any downtime. The Internet of Things (IoT) paradigm aims to create an advanced data system by combining sensor data collecting with efficient data processing, networking, machine learning, artificial intelligence, big data, and clouds are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 6–11 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Next-Generation IoT-Based Air & Noise Pollution Monitoring System Using ESP32-S3
Abstract: Air and noise pollution have become serious environmental problems in modern urban areas due to rapid industrialization, increasing traffic, and population growth. Continuous monitoring of pollution levels is important to protect public health and maintain environmental safety. Traditional pollution monitoring systems are expensive and limited in coverage, which makes real- time monitoring difficult in many locations. To address this issue, this project proposes a low-cost Internet of Things (IoT) based …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 69–75 Read article
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IoT Based Automatic Fault Detection in Low Transmission Line
Abstract: Electric hazards associated to transmission lines are a big worry when negotiating India's complexelectrical distribution network. According to estimates from the National Crime Records Bureau, aboutone lakh individuals have perished from electrocution in only the last ten years. The average yearlydeath toll increased from approximately 11,000 to 12,500 between 2021 and 2025. According to CEI Electrical. Accident Statistics, it has reached 13,855 by 2023. Transmission line mishaps, especially inthe LT …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 8–13 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article