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127 articles for “event detection”
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A Review on Integrated Acoustic Emission and Piezoelectric Sensing for Real-Time Damage Characterization of Polymer Composite-Enhanced Concrete: Advances, Challenges, and Future Perspective
Abstract: Polymer composite reinforced concrete has been identified as an efficient material system that can enhance the mechanical properties, durability, and service life of modern structures. The combination of fiber reinforced polymers (FRPs), polymer modifiers, and hybrid composite reinforcements increases structural effectiveness. However, these systems are still vulnerable to damage processes, including matrix cracking, fiber breaking, interfacial debonding, and delamination. Thus, there is a need for structural health monitoring (SHM) strategies …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 930–939 Read article
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RFID Based Smart Trolley Billing System Using IoT
Abstract: Customers experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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WIRELESS SENSOR NETWORK: A STUDY
Abstract: Sensor networks have sensors with function of finding conditions to monitor environmental conditions like humidity, pressure etc. Wireless sensor networks are characterised by less power consumption, fast in handling node failures, isolation of nodes from one another. Sensor networks has wide application region monitoring, event tracking, fire detection, traffic monitoring etc. On the basis of routing protocols, they can be classified on the basis of network structure, route from source …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 5–10 Read article
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LEACH: INNOVATIVE TECHNIQUE FOR WSNs
Abstract: Low Energy Adaptive Clustering Hierarchy (LEACH) is a protocol as energy efficient and hierarchical-based. Its applications WSNs is increasing day after day. Sensor networks have sensors with function of finding conditions to monitor environmental conditions like humidity, pressure etc. Wireless sensor networks are characterised by less power consumption, fast in handling node failures, isolation of nodes from one another. Sensor networks has wide application region monitoring, event tracking, fire detection, …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 11–15 Read article
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Phylogenomic Analysis of Human Multigene Families Using Computational Approach
Abstract: Evolution leads to major morphological transformations and anatomical complexity achieved by higher vertebrates. The phylogenomic analysis of human multigene families (ERBB, HCK, VAMP) was conducted to check the evolutionary history and functional significance. The colossal amount of diversified protein dataset for a wide variety of vertebrates and invertebrates was used to derive the phylogeny of highly significant and functionally diverse gene families. Phylogenetic analysis reveals the mode of evolution and …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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A Comprehensive Survey on Energy Efficient Protocols for WSN
Abstract: In recent years, there is a rise in the variety of applications supported by wireless network systems and their success applied to completely different areas remote environmental watching and pursuit tracing. The WSN unit spatially distributed sovereign sensors to watch fitness like temperature, sound and pressure, etc. and transmit their information through the network to the main location. Recent advancement in wireless communication and physics has also enabled the event …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 11–16 Read article
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Alzheimer's Diseases Risk Level Classifications Using Chaos Technique
Abstract: This paper aim to classify Alzheimer's diseases risk level determining Dementia and Epilepsy which is a collective term used to describe the problems that people with various underlying brain disorders or damage can have with their memory, language and thinking. Alzheimer disease is the best known and most common disorder under the umbrella of Dementia and Epilepsy. Brain functions are measured in the hope of determining and differentiating certain functional …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 36–46 Read article
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Cure Fraction Estimation for Traumatic Lumbar Puncture in Patients with Acute Lymphoblastic Leukemia
Abstract: The foremost aim of this research was to estimate the proportion of long-term survivors for traumatic and bloody lumbar puncture in patients suffering from acute lymphoblastic leukemia (ALL). To decide the resonance point of platelet for predicting traumatic event the receiver operating characteristics curve was used. Logistic regression and Cox proportional hazard regression was used to detect risk factors for the traumatic event and any relapse, respectively. To appraise the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 12–21 Read article
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High-Energy Astrophysics: Exploring the Extreme Universe Through Radiation, Relativistic Phenomena, and Cosmic Cataclysms
Abstract: High-energy astrophysics is a fast-developing area of astrophysical research dedicated to exploring the universe’s most powerful and extreme events. It involves investigating dense and energetic cosmic objects and phenomena, including black holes, neutron stars, supernova remnants, gamma-ray bursts, and active galactic nuclei. These sources emit radiation predominantly in the X-ray and gamma-ray regions of the electromagnetic spectrum and are often associated with high-energy particles, including cosmic rays and neutrinos. Investigating …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 10–15 Read article
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Real-Time Video Surveillance Using ESP-32 CAM for IoT Applications
Abstract: The rapid advancements in technology and the growing concerns for security have driven the need for innovative, cost-effective, and scalable surveillance systems. This project presents the development of a smart surveillance system using the ESP-32 CAM module, a compact and low-cost microcontroller integrated with Wi-Fi, Bluetooth, and a high-resolution OV2640 camera. The system is designed to provide real-time monitoring, motion detection, and automated alert features, catering to the security needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 26–35 Read article
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Gravitational Wave Astronomy (2015–2026): From Historic Discoveries to Quantum Detection Frontiers
Abstract: Since the landmark detection of GW150914 by the LIGO Scientific Collaboration in 2015, gravitational wave (GW) astronomy has transitioned from a theoretical frontier to a robust observational science. This breakthrough confirmed a major prediction of General Relativity and inaugurated an entirely new method for observing the universe. Over the past decade, continuous upgrades to ground-based interferometers such as LIGO, Virgo Collaboration, and KAGRA have dramatically improved detector sensitivity, enabling the …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 1–5 Read article
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Condition monitoring and fault diagnosis of gears based on vibration signatures - A review
Abstract: Gearbox is widely used in industrial and military applications. It is subjected to high service load and harsh operating conditions or inevitable fatigue, due to which faults may develop in gears. Fault diagnosis plays an important role in condition monitoring to enhance the machine time. Vibration-based condition monitoring can be applied in gear systems to detect the origination and expansion of fault before the occurrence of failure. Eventually, occurrence of …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 39–45 Read article
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IoT-based Black Box Monitoring for Vehicle Crash Data Analysis and Improving Safety
Abstract: Road accidents are a significant global concern. This project proposes an Internet of Things (IoT)-based black box monitoring system for vehicles to enhance road safety through comprehensive crash data analysis. The system expands on traditional black boxes by incorporating various sensors (accelerometers, gyroscopes, GPS) and potentially in-cabin cameras (with privacy safeguards). This data offers a deeper understanding of crash dynamics, including impact severity, vehicle motion, and safety system deployment timing. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 7–13 Read article
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Noise-Resilient QPSK Modem for Reliable Communication for Green Communication
Abstract: The channel noise is the severely degraded the performance of communication system and that also limits the maximum data transmission rate. Hence, it is required to design a demodulator in a receiver which overcomes the effect of noise in the received signal, reconstructs un-corrupted information signal and improves data rate. In QPSK, noise effect the phase of the modulated signal and that causes error in the information signal. This study …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 36–46 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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IoT-Enabled Monitoring of AC Condensate Water for Quality Assessment and Early Detection of HVAC System Health
Abstract: The shortage of water and expensive reactive maintenance of HVAC are major problems in the modern building management. The paper introduces an Internet of Things (IoT)-enabled air conditioning (AC) condensate to water resource (predictive maintenance) and sustainable water reuse. The nature of our approach defines the quality of the condensate water at the baseline and indicates that it contains low levels of total dissolved solids (TDS) and has almost neutral …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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Nt-Probnp and Nitrogen Species Measurement As Useful Biomarkers for Detection of Asymptomatic Heart Failure in Patients with Type 2 Diabetes
Abstract: Insidious heart failure is associated or complicated hypertension, coronary artery disease, diabetes, chronic lung disease, atrial fibrillation, renal failure, depression, and anemia. High plasma NT-proBNP level found to be a predictive value in detecting latent left ventricular diastolic dysfunction. The aim of the study is to detect asymptomatic heart failure in outpatient type 2 diabetic patients using plasma NT-proBNP as a diagnostic biomarker of heart failure and nitrogen species as …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 1, 2015 · pp. 8–12 Read article