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132 articles for “real-time detection”
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ECG Extraction Techniques: A Review
Abstract: Cardiovascular disease is growing exponentially day by day. Also, Electrocardiography (ECG) plays a vital role in monitoring heart health by providing certain information to a cardiologist, which would be helpful to detect the heart conditions such as stroke and arrhythmia. ECG is a graph of voltage against the time of the heart's electrical activity that can be extracted by connecting electrodes into the skin. Measuring the ECG of a particular …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 1–5 Read article
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Action Potential Monitoring Using Neuronanorobots: Neuroelectric Nanosensors
Abstract: Neuronanorobotics, a key future medical technology that can enable the preservation of human brain information, requires appropriate nanosensors. Action potentials encode the most resource-intensive functional brain data. This paper presents a theoretical design for electrical nanosensors intended for use in neuronanorobots to provide non-destructive, in vivo, continuous, real-time, single-spike monitoring of action potentials initiated and processed within the ~86 x 109 neurons of the human brain as intermediated through the …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 1, Issue 2, 2015 · pp. 20–41 Read article
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DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION
Abstract: Communication is a fundamental human right, yet over 70 million individuals worldwide who are deaf or speech-impaired face daily barriers in expressing their needs in healthcare, education, workplaces, and emergencies. Sign language serves as the primary mode of communication for this population; however, it is not universally understood by the hearing community, creating a persistent and critical gap in accessibility. Existing assistive solutions such as camera-based AI translators require high …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 31–44 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Nanotechnology in Precision Farming: The Role of Research
Abstract: Precision agriculture is revolutionizing the agricultural sector. Crop production has changed as a result of its use of technology and data, becoming more economical, ecologically friendly, and efficient. With a projected population of 9.7 billion on Earth by 2050, there will be a constant demand for food. To meet this demand sustainably and guarantee food security for future generations, precision agriculture is essential. Precision farming's incorporation of nanoparticles has the …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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An Integrated Computer-Aided Approach for Fixture Design and Assembly
Abstract: Fixtures play a crucial role in ensuring dimensional accuracy, productivity, and repeatability in modern manufacturing systems. With the increasing adoption of flexible and computer-integrated manufacturing, there is a growing need for systematic and automated fixture design methodologies. This work presents a computer-aided fixture design and assembly approach that integrates CAD-based modeling, modular fixturing concepts, and virtual assembly techniques. The proposed methodology covers the complete fixture development cycle, including workpiece analysis, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 24–39 Read article
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Functioning of Intelligent Intrusion Detection and Prevention System (IIDPS)
Abstract: In this paper, the architecture of Intelligent Intrusion Detection and Prevention System is proposed. The intelligence element was introduced using Artificial intelligence techniques. The development of IIDPS was done as a protection from cyber-attacks. The TSAM is decision maker agent and PMM is the main controller agent. Although, the proposed system is a combination of different types of intelligent agents, hybrid architecture under real time constraints.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 1, 2016 · pp. 27–38 Read article
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Iot Based Smart Farming with Plant Disease Detection Using CNN
Abstract: In this project, we have discussed the utilization of the power of contemporary technology like sensors and cloudcomputing. IoT-based smart farming is revolutionizing traditional agricultural practices. Additionally, this project enables farmersto manage their farms remotely. This project's primary goal is to support an existing farmer and a new farmer who wants to startfarming as their side income source through remote farming. Farmers can monitor numerous environmental elements includingtemperature, humidity, soil …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 36–47 Read article
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Bluetooth Technology for Detecting the Quality of Water
Abstract: Water quality monitoring system can measure various parameters of water quality, such as temperature, pH, conductivity and the turbidity. These parameters are used to detect water contaminants. The traditional technique of scanning the water high-quality is to accumulate tests of water manually and transport to the lab to check and examine. This approach is time consuming, wastage of man energy and no longer most economical. The water quality measuring gadget …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
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Quantum Dots in Oral Diagnostics and Theranostics:Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or small-molecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 20–30 Read article
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IoT Based Theft Detection Shop Shuttering Monitoring System
Abstract: The "IoT-based Shop Shutter Monitoring System" project aims to develop a reliable and cost-effective solution for monitoring the security and status of commercial shop shutters using Internet of Things (IoT) technology. Shop shutters play a critical role in safeguarding businesses and their assets, and this system offers a convenient and efficient way to monitor their status remotely. The project utilizes a combination of IoT sensors, a microcontroller, and a cloud-based …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 18–26 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Image Processing Based Robot Control
Abstract: We all know that object detection is a well-researched technology and is related to computer vision and image processing deals with detecting instances of semantic objects. It has got some real-world applications such as smart-home automation, etc. Detection of a particular object by the computer’s camera is an important aspect. Recent image-controlled robots operate with humans next to them. Whereas, our project deals with interface of robots through image-controlled technique, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 4–13 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Report on Monitoring & Detection of Manhole Using IoT
Abstract: A smart city is the society's future goal for safer and greener accommodations. When implementing a smart city, smart basement network is an important feature to consider. Observing drainage systems is vital to maintaining the city clean and healthy. Even though manual monitoring is ineffective, drainage troubles are handled slowly and take longer to resolve. This system significantly reduces the risk for workmen who clean underground drainage while also benefiting …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 2, 2021 · pp. 5–15 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Sign Language Alphabet Detection System
Abstract: Currently, gesture recognition for hands and sign language detection for human-computer interaction isthe main emphasis of computer vision and machine learning. The creation of systems that can identifygestures and use them to transmit data or control devices is one of the main goals. Specifically, handgestures entail dynamic hand movements that require explanations in both the spatial and temporaldomains, whereas hand postures reflect the static structure of the hand. The goal …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 29–35 Read article