Software Controller using Hand Gestures

New technologies emerge in response to the passage of time. Robotic hand gesture control is one of them. Collaboration frameworks based on gestures are becoming increasingly popular in the business and at home. The approach we suggested can greatly reduce the utilization of hardware components such as a keyboard and mouse. The goal of this research is to create a system that can recognize hand gestures and use them as an input command to connect with a computer or laptop. According to a recent study, the use of CNN technology is still lacking in Hand Gesture Recognition. Our research aims to leverage CNN technology to recognize gestures in both static and dynamic modes, and then deploy the trained model in real-time applications

A Lightweight Mutual Authentication Protocol for V2V Communication in Internet of Vehicles

Recently, the concept of Internet of Vehicles (IoVs) conquered the automotive industry, academia, research fields, vehicle manufacturers, etc., where vehicles are \u27intelligent ones\u27 capable of providing a wide variety of applications, such as traveller/driver safety, infotainment, traffic efficiency, reduced congestion, less pollution, etc. Ensuring proper authentication and secure communication are the major challenges of an IoV scenario. However, only limited works are available for authentication and communication, among them the \u27lightweight property\u27 is missing. Hence, in this paper, we design a lightweight mutual authentication protocol in an IoV scenario using cryptographic operations. The proposed protocol also enables a device and a server to establish a secret key, which can be used for secure communication, while minimizing the computational cost associated with the process. The protocol is implemented on two types of communication models, such as two Raspberry Pi\u27s connected via an intermediate desktop computer acting as the Trusted Authority (TA) and two Raspberry Pi\u27s connected via the cloud (here, Vehicle Server). The performance analysis results based on computation and communication cost show that the proposed protocol performs better than existing systems

Software Controller using Hand Gestures

New technologies emerge in response to the passage of time. Robotic hand gesture control is one of them. Collaboration frameworks based on gestures are becoming increasingly popular in the business and at home. The approach we suggested can greatly reduce the utilization of hardware components such as a keyboard and mouse. The goal of this research is to create a system that can recognize hand gestures and use them as an input command to connect with a computer or laptop. According to a recent study, the use of CNN technology is still lacking in Hand Gesture Recognition. Our research aims to leverage CNN technology to recognize gestures in both static and dynamic modes, and then deploy the trained model in real-time applications

Book of Abstracts of the 2nd International Conference on Applied Mathematics and Computational Sciences (ICAMCS-2022)

It is a great privilege for us to present the abstract book of ICAMCS-2022 to the authors and the delegates of the event. We hope that you will find it useful, valuable, aspiring, and inspiring. This book is a record of abstracts of the keynote talks, invited talks, and papers presented by the participants, which indicates the progress and state of development in research at the time of writing the research article. It is an invaluable asset to all researchers. The book provides a permanent record of this asset. Conference Title: 2nd International Conference on Applied Mathematics and Computational SciencesConference Acronym: ICAMCS-2022Conference Date: 12-14 October 2022Conference Organizers: DIT University, Dehradun, IndiaConference Mode: Online (Virtual