0000000000414416

AUTHOR

Muhammad Irfan Khalid

0000-0002-6643-6558

showing 7 related works from this author

Anomaly Detection in Traffic Surveillance Videos Using Deep Learning

2022

In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and recognition of abnormal activity in a real-world environment is a big challenge, as there can be many types of alarming and abnormal activities, such as theft, violence, and accidents. This research deals with accidents in traffic videos. In the modern world, video traffic surveillance cameras (VTSS) are used for traffic surveillance and monitoring. As the population is increasing drastically, the likelihood of accidents is also increasing. The VTSS is used to detect abno…

VDP::Teknologi: 500Deep LearningAccidents TrafficHumansNeural Networks Computerdeep learning; video classification; accident detection; surveillance system; anomaly detectionCitiesElectrical and Electronic EngineeringBiochemistryInstrumentationAlgorithmsAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors
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Internet of Things-Based Fire Alarm Navigation System: A Fire-Rescue Department Perspective

2022

In the past few years, fire alarm systems have become increasingly sophisticated and more capable and reliable. The two main objectives are the protection of life and property. As a result of state and local codes, fire protection has become more concerned with life safety over the past two decades. Several safety measures have been implemented to address the problems caused by the fires and reduce the number of fatalities and property damage. Our project is to develop and review a fire alarm navigation system and application that uses the internet of things. Fire alarm systems are designed to warn people about fires in advance so that they can evacuate the fire-affected area and take immed…

Article SubjectComputer Networks and CommunicationsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science Applications
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A Conceptual Model for Blockchain-Based Agriculture Food Supply Chain System

2022

In agriculture supply chain management, traceability is a crucial aspect to ensure food safety for increasing customer loyalty and satisfaction. Lack of quality assurance in centralized data storage makes us move towards a new approach based on a decentralized system in which transparency and quality assurance is guaranteed throughout the supply chain from producer to consumer. The current supply chain model has some disadvantages like a communication gap between the entities of the supply chain and no information about the travel history and origin of the product. The use of technology improves the communication and relation between various farmers and stakeholders. Blockchain technology a…

Article SubjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550SoftwareComputer Science ApplicationsScientific Programming
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A Novel Optimization for GPU Mining Using Overclocking and Undervolting

2022

Cryptography and associated technologies have existed for a long time. This field is advancing at a remarkable speed. Since the inception of its initial application, blockchain has come a long way. Bitcoin is a cryptocurrency based on blockchain, also known as distributed ledger technology (DLT). The most well-known cryptocurrency for everyday use is Bitcoin, which debuted in 2008. Its success ushered in a digital revolution, and it currently provides security, decentralization, and a reliable data transport and storage mechanism to various industries and companies. Governments and developing enterprises seeking a competitive edge have expressed interest in Bitcoin and other cryptocurrencie…

cryptocurrency; blockchain; mining; graphical processing unitsRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentBuilding and ConstructionManagement Monitoring Policy and LawVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Sustainability; Volume 14; Issue 14; Pages: 8708
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Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS

2022

Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been unsuccessful. In today’s world, research on flying ad hoc networks (FANETs) is a thriving field and can be used successfully. This paper describes a unique clustering approach that identifies the presence of a fire zone in a forest and transfers all sensed data to a base station as soon as feasible via wireless communication. The fire department takes the required steps to prevent the spread of the fire. It is proposed in this study…

VDP::Teknologi: 500Artificial IntelligenceControl and Systems EngineeringVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910clustering; energy efficiency; WSN; FANETS; LEACH; IoTAerospace EngineeringComputer Science ApplicationsInformation SystemsDrones
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An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain

2022

In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for electric vehicles (EVs) in a vehicular energy network (VEN). EVs face two major problems: finding an optimal charging station and calculating the exact amount of energy required to reach the selected charging station. Moreover, in traditional trading approaches, centralized parties are involved in energy trading, which leads to various issues such as increased computational cost, increased computational delay, data tempering and a single point of failure. Furthermore, EVs fac…

Machine LearningBlockchainconsortium blockchain; branching; charging station; demand response; double spending; electric vehicles; energy trading; KNN; machine learning; vehicular energy networkElectricityElectrical and Electronic EngineeringBiochemistryInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Atomic and Molecular Physics and OpticsAnalytical ChemistrySensors; Volume 22; Issue 19; Pages: 7263
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Blockchain-Based Land Registration System: A Conceptual Framework

2022

Land registration authorities are frequently held accountable for the alleged mismanagement and manipulation of land records in various countries. Pakistan’s property records are especially vulnerable to falsification and corruption because of the country’s poverty. Different parties therefore claim varying degrees of authority over a specific piece of land. Given the fact that this data has been consolidated, it has become significantly more vulnerable to security threats. The goal of decentralized system research has been to increase the reliability of these systems. In order to fix the flaws of centralized systems, blockchain-based decentralized systems are currently in development. By u…

Article SubjectBiomedical EngineeringMedicine (miscellaneous)BioengineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550BiotechnologyApplied Bionics and Biomechanics
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