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Author

Rohit Kumar Kasera

Bio: Rohit Kumar Kasera is an academic researcher from Assam University. The author has contributed to research in topics: Smart lighting. The author has co-authored 1 publications.

Papers
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Journal ArticleDOI
01 Jan 2022
TL;DR: In this article, the authors proposed a method that will be simple and efficient for the user, which helps to manage the indoor parking system automatically starting from detection of vehicle, vehicle license plate detection, and recognition using Convolutional Neural Network (CNN), and then, license plate is matched with the registered license plate which is saved in a parking database while doing registration to park the vehicle for allocating automatic parking slot.
Abstract: In present years, the Internet of Things (IoT) has been one of the most sought research areas and has been an integral part of everyday life. Every household or society is nowadays dependent on some kind of smart things like smart TV, smart refrigerators, smart lighting, smart security systems, etc. Smart parking is one of the important areas for research and development in this field. In this paper, we have tried to propose a method that will be simple and efficient for the user. The objective is to study the available smart parking system, propose a complete smart parking system, implement the propose system, and analyze and compare the results with another smart parking systems. Our proposed system helps to manage the indoor parking system automatically starting from detection of vehicle, vehicle license plate detection, and recognition using Convolutional Neural Network (CNN), and then, license plate is matched with the registered license plate which is saved in a parking database while doing registration to park the vehicle for allocating automatic parking slot. The slot allocation process is scheduled through the FCFS algorithm, slot verification of individual parking users is done by license plate matching while parking the vehicle at slot, multilevel parking is designed for parking any type of vehicle, and e-ticket email has been sent using SMTP protocol. All parking statuses are being monitored in real time at the cloud server using ThinkSpeak. Finally, elapsed time result and analysis for complete parking has been measured and compared with another similar parking system.

5 citations


Cited by
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Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors designed a reputation mechanism to manage the parking reservation behavior of vehicles and reduce the number of malicious nodes, and they used deep learning to dynamically adjust the block size to make the blockchain run more efficiently and stably.
Abstract: The parking lot is one of the important components of the intelligent transportation system (ITS). The current parking lots mainly use instant parking, which has low parking efficiency, during peak hours, which leads to traffic congestion. To guarantee the stable operation of parking lots, we propose a blockchain-enabled parking reservation framework, called BPR. Traditional parking reservation systems may exist the condition of malicious reservations, and resulting in wasted parking spaces. Therefore, we design a reputation mechanism to manage the parking reservation behavior of vehicles and reduce the number of malicious nodes. In addition, to balance the performance of the blockchain at different times (especially during peak hours), we use deep learning (DL) to dynamically adjust the block size to make the blockchain run more efficiently and stably. We deploy the system in Hyperledger Fabric and conduct effectiveness experiments. The comprehensive evaluation results and analysis show that the proposed reputation mechanism can effectively curb malicious nodes from reserving parking spaces and reduce the waste of parking resources. And the block size will be dynamically adjusted to balance the performance of the blockchain at different periods, this method is also applicable to other blockchain performance-sensitive scenes. Finally, this paper is compared with related work to demonstrate the innovation and feasibility of this work from various aspects.

1 citations

Journal ArticleDOI
TL;DR: In this paper , an automatic boom barrier, the gate operated by Raspberry Pi, has been proposed to provide a secure environment from that future will secure and help increase motivation for intelligent things and productivity and enter newly grown markets, startups, and entrepreneurs.
Abstract: In order to reduce the unnecessary waste of the workforce, the proposed system has been developed. In this chapter, a secure environment from that future will secure and help increase motivation for intelligent things and productivity and enter newly grown markets, startups, and entrepreneurs. The significant contribution to knowledge was to improve the automatic boom barrier system, considering the low cost of the budget. This chapter is concerned with providing an automatic boom barrier, the gate operated by Raspberry Pi. Some of the features considered during this system's design were cost-effective and easy to use compared to existing systems. Security plays an essential role in making smart cities using the “automatic boom barrier system.”
Book ChapterDOI
Jian-Guo Song1
01 Jan 2022
TL;DR: In this article , a tool helps Arduino to connect to the Internet network, so that it can facilitate the communication between the sensor device and the server to store parking lot data into a database that users will access to obtain information about the parking lot.
Abstract: A smart parking system is an application that can help users get information about the available parking spaces in a place. In a smart parking system, there are implications of several technologies that can solve problems in the parking system. The use of the Internet of Things is done by connecting sensor devices scattered in each parking lot to the Internet network, and then, data from each sensor will be stored on the server. To connect the sensor to the Internet network requires a component device such as the ESP8266-01. This tool helps Arduino to connect to the Internet network. So that it can facilitate the communication between the sensor device and the server to store parking lot data into a database that users will access to obtain information about the parking lot.