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1987 articles for “Lap Splice Detection” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ED-SS based Cognitive Radio (CR) over Rayleigh Fading Channel and the Performance of Optimized Cooperative Spectrum Sensing Technique for Modern Wireless Communications
Abstract: Cognitive Radio (CR) has indeed been shown to be a superior way to address the issue of spectrum scarcity in which every wireless system occupies the limited bandwidth spectrum (LBS) allotting to the licensed users. Spectrum holes, which are approximated using spectrum sensing, occur when this LBS is empty in a certain location at a specific moment (SS). The SS is the main objective of CR and various SS techniques …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 1–12 Read article
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A Forensic Study on Serum Leucine Aminopeptidase Activity Alteration in Carbon Monoxide Poisoning
Abstract: Background: Recently, Carbon Monoxide poisoning is diagnosed medicolegally depended on poison analytic chemistry and not in biochemical method. Methods: This essay was confirmed the activation change of LAP in Carbon Monoxide poisoning. The LAP activation level was higher than normal in a death with CO poisoning. Because of the Carbon Monoxide poisoning, patients were admitted to the hospital and were cured during a certain period of time. After that, the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 71–75 Read article
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Fire Monitoring and Suppression System for a Car using by Automation and Existing Technology
Abstract: Fire Monitoring and Suppression System for a car using Automation and Existing Technology presents a comprehensive review of fire monitoring and suppression systems for vehicles. The Project aims to explore the causes of vehicle fires, existing technologies for fire detection and suppression, and a proposed working model for implementing fire safety measures in automobiles. The literature review within the project provides a thorough analysis of the primary causes of fires …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling
Abstract: Innovative technologies called automatic pothole detection systems are made to automatically locate and identify potholes on road surfaces. These systems incorporate many components, including sensors such as cameras, LiDAR, and accelerometers, to acquire data on the road conditions. Potholes on roads provide serious risks to passing cars and pedestrians, which can result in collisions, damage to cars, and deterioration of the infrastructure. Automatic pothole detection systems, which make use of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 1–6 Read article
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Review Of Alcohol Sensing With Engine Locking Using Node MCU
Abstract: In this work the review of alcohol detection and engine locking system that can detect whether a driver is drinking alcohol while driving and thus prevent accidents is surveyed. Due to this the number of road accidents are drastically increasing which results in increase in mortality and it has become a major concern. The reason identified is highly intoxicated drivers. Thus the mortality is increasing rapidly especially in India. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Evaluation of Ensemble and Deep Learning Classifiers on CSE-CIC-IDS2018 Dataset for Intelligent NIDS
Abstract: Network Intrusion Detection System (NIDS) plays an active role in preventing cyberattacks by early detection of threats before it really starts affecting targeted information services. Over the years, many intrusion detection system (IDS) have been developed applying signature or rule-based approach to prevent unauthorised access of network or computer devices. However, ever growing landscape of cyberattacks in recent years has motivated present day researchers to design and develop more accurate …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 1–11 Read article
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Uncovering the Elusive Threat: An Investigative Study on Polymorphic Viruses
Abstract: In the intricate landscape of cybersecurity, polymorphic viruses have prominently emerged, distinguishing themselves through their unique ability to continually modify their code, rendering them stealthy and challenging to detect. This comprehensive study embarks on a journey through the complex world of these viruses. It commences with a historical lens, meticulously tracing their roots, their initial manifestations, and the progressive sophistication of their code-altering techniques. The research then pivots to a …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 10–21 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Efficient Masked Face Recognition Methods using Deep Learning
Abstract: Covid-19 questioned not only people's health but alsoconventional scientific systems. Due to face masks that were made mandatory to wear, the existing cognitive systems failed to perform in real-time scenarios. The demand to develop face recognition systems that detect people even when they wore masks was naturallyhigh. Deep learning techniques help to solve this problem, working efficiently in detecting user face features and comparing them with a known image database. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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Advancements in Autonomous Fire-Fighting Robots: Enhancing Safety and Efficiency
Abstract: This paper centers around the development and assembly of a firefighting robot engineered to sense and extinguish fires. The robot integrates environmental sensing and proportional motor control principles to adeptly identify and combat fire incidents. It relies on sensors such as thermistors, ultraviolet sensors, or flame sensors to detect the presence of flames. Once a fire is detected, the robot triggers an electronic valve to dispense water sprinkles onto the …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 19–28 Read article
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NaI (TI) Assembly System for Identifying TNT Samples Using Backscattering System in a Moisture Soil
Abstract: In this work a setup was designed to perform gamma backscattering detection of the landmine that buried in a wet soil. Experiment was carried out by using NaI (TI) detection system assembly consisting of three different radioactive sources mainly (60Co, 241Am and 137Cs). The optimal configuration was selected to the capability of the proposed device to show where the target sample was identified while moving the detection along the box …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 30–38 Read article
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Automatic Identification of Obstacles and Crack Sensing Scheme in Rail Tracking System
Abstract: AbstractIn this paper, we have established into the identification of cracks and obstacles in rail tracking system. This system comprises of GSM modem, ultrasonic sensor, proximity sensor, PIC microcontroller to bring into the operation the crack detection and obstacle detection. The GSM modem contributes in transmission of railway geometric parameter of crack detection to the control room. Ultrasonic and Proximity sensors are used to detect the obstacles and crack in …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 6–10 Read article
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Smart CCTV for Daycare
Abstract: In the modern world, security has been the most crucial issue. Closed Circuit Television (CCTV) is used to monitor, and identify the specific surrounding for surveillance and security purpose. The device warns of the presence of any individual in the vicinity and adds security by documenting the person's actions. In day-care, the footage captured by surveillance camera is critical for crime prevention and investigation. A motion detection, video capturing, and …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 44–47 Read article
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A Review of Different Surgical Techniques in the Management of Choledocholithiasis
Abstract: Choledocholithiasis is the medical term used to describe the condition where stones are present in the common bile duct. The presence of stones in the common bile duct, known as Choledocholithiasis, can develop due to the creation of stones within the common bile duct or the movement of gallstones formed in the gallbladder into the duct. Selecting the perfect way of clearing common bile duct stone shall be grounded on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 1, 2024 · pp. 12–20 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Violent Event Recognition and Monitoring Using Deep Learning for Surveillance Videos
Abstract: The significance of real-time capabilities in human detection and tracking is discussed in the abstract of the paper. We talk about tracking, eye detection, and face detection. A thorough motion detection program for use in video monitoring and other applications is suggested by the study. The goal of the study is to further human tracking technology. Optical flow features and appearance-invariant features from a Darknet CNN model are integrated. Acquiring …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Evolution of Kitchen Robots: A Review
Abstract: Robots are the machines designed and developed by humans which are more capable and efficient in doing such works and tasks which humans are unable to do or do with less efficiency. These machines are able to perform the tasks which are hard or impossible for humans. There are many robots which resemble like human, animal or even insects and are employed in different sectors. For example, dogs in bomb …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 32–47 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article