Arduino Uno - Powered Parking Guidance System with Ultrasonic Sensors"is a smart and innovative solution for simplifying the parking process in crowded urban environments. This paper leverages the power of Arduin...
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ISBN:
(纸本)9798350328042
Arduino Uno - Powered Parking Guidance System with Ultrasonic Sensors"is a smart and innovative solution for simplifying the parking process in crowded urban environments. This paper leverages the power of Arduino Uno microcontroller and ultrasonic sensors to create a cost-effective and efficient parking assistant system. The primary objective of this paper is to assist drivers in parking their vehicles accurately and safely by providing real-time feedback on the distance between the vehicle and obstacles in its vicinity. Ultrasonic sensors are used to detect the presence of obstacles, calculate the distance to these obstacles, and relay this information to the driver through visual and auditory cues. This research comprises an ultrasonic sensor module, an Arduino Uno microcontroller, and a visual display, such as an LCD or LEDs. The ultrasonic sensor emits high-frequency sound waves and measures the time it takes for these waves to bounce back after hitting an obstacle. Using this data, the Arduino Uno calculates the distance to the obstacle and displays it on the chosen output device. The system provides precise distance measurements, allowing drivers to gauge their proximity to obstacles accurately. Drivers receive immediate feedback through a visual display, making parking safer and more convenient. The use of readily available components and open-source Arduino programming makes this parking assistant an affordable alternative to commercial parking aids. The system is designed for ease of use, with clear and intuitive distance information that assists drivers of all skill levels. Users can adapt the system to suit their preferences, including configuring different alert thresholds or integrating additional features like audible alarms. This Ultrasonic Sensor Parking Assistant with Arduino Uno offers a versatile and accessible solution for urban parking challenges, enhancing safety and convenience for drivers while promoting DIY electronics education. Its potent
The evolution of technology with the introduction of mobile devices has provided users with day-to-day advancements in existing technologies. Augmented Reality (AR) is combined with an Artificial Intelligence navigati...
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Allocating sources correctly within the ever-changing world of cloud computing is vital for maintaining uninterrupted guide of apps and offerings at the same time as preserving charges down. Machine mastering's fl...
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ISBN:
(纸本)9798350359756
Allocating sources correctly within the ever-changing world of cloud computing is vital for maintaining uninterrupted guide of apps and offerings at the same time as preserving charges down. Machine mastering's flexibility to accommodate unique duties and person conduct makes it an appealing option for assembly those desires. As a end result of factors including variable workloads, special application desires resource allocation in the cloud area provides a number of difficulties. Allocation strategies based on static parameters generally fail to fulfill these demanding situations. By integrating past facts, future predictions, and immediately feedback, MLT provide a promising opportunity for developing a flexible and powerful technique of allocating resources. This paper introduces a novel approach to cloud useful resource allocation referred to as Dynamic Resource Allocation with Reinforcement Predictive Learning (DRA-RPL). DRA-RPL combines reinforcement studying with predictive analytics to provide a flexible allocation mechanism that could respond to converting requirements in actual time. This technique seeks to find the candy spot between performance, efficiency, and cost to assure swift and powerful deployment of assets. DRA-RPL uses a cloud-based totally reinforcement mastering agent. The workloads, useful resource availability, and alertness performance are in reality some of the factors that this agent is continuously tracking. The technique uses predictive analytics to foresee useful resource demands primarily based on previous statistics and patterns. This predictive thing enables the reinforcement mastering agent count on future requirements. The simulation effects show the way the approach handles versions in surroundings and workload, imparting sturdy evidence of its effectiveness. With the ability to reinforce resource utilization, fee-effectiveness, and client delight across cloud-based totally offerings, DRA-RPL is a possible method that would help
In IEC-61850-based digital substations, the protection IED’s performance is dependent on merging unit’s vendor implementation, communication networks, and measurement circuit’s health conditions. As the process bus...
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Enterprise Resource Planning(ERP)software is extensively used for the management of business *** offers a system of integrated applications with a shared central *** all business-critical information in a central plac...
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Enterprise Resource Planning(ERP)software is extensively used for the management of business *** offers a system of integrated applications with a shared central *** all business-critical information in a central place raises various issues such as data integrity assurance and a single point of failure,which makes the database *** paper investigates database and Blockchain integration,where the Blockchain network works in synchronization with the database system,and offers a mechanism to validate the transactions and ensure data *** research exists on Blockchain-based solutions for the single point of failure in *** established in our study that for concurrent access control andmonitoring of ERP,private permissioned Blockchain using Proof of Elapsed Time consensus is more *** study also investigated the bottleneck issue of transaction processing rates(TPR)of Blockchain consensus,specifically ERP’s *** paper presents systemarchitecture that integrates Blockchain with an ERP system using an application interface.
Alzheimer's Disease (AD), the most prevalent type of dementia, is an incurable neurological disorder that leads to progressive mental decline. The majority of an AD diagnosis in practise is based on the patient...
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In the past,sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security ***,relying on eyewitness observations can lead to discrepancies ...
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In the past,sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security ***,relying on eyewitness observations can lead to discrepancies in the depictions of the sketch,depending on the experience and skills of the sketch *** the emergence of modern technologies such as Generative Adversarial Networks(GANs),generating images using verbal and textual cues is now possible,resulting in more accurate sketch *** this study,we propose an adversarial network that generates human facial sketches using such cues provided by an ***,we have introduced an Inverse Gamma Correction Technique to improve the training and enhance the quality of the generated *** evaluate the effectiveness of our proposed method,we conducted experiments and analyzed the results using the inception score and Frechet Inception Distance *** proposed method achieved an overall inception score of 1.438±0.049 and a Frechet Inception Distance of 65.29,outperforming other state-of-the-art techniques.
Urbanization and rapid development have led to a decline in natural habitats for birds, posing a threat to avian biodiversity worldwide. This study addresses the crucial task of accurately detecting and classifying bi...
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The use of Electroencephalography (EEG) signals for emotion identification tasks is common. However, the domain shift issue may cause EEG-based emotion detection models' performance to decline when used in new dom...
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IsharaVerse, a Context-Aware Multilingual Sign Language Generation and Translation System, bridges communication gaps between signers (Deaf, Hard of Hearing, Mute communities) and non-signers. It supports Indian Sign ...
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