Vijay Kumar Pandey
@symlaw.edu.in
Professor of Marketing
Symbiosis Law School, NOIDA, India
Scopus Publications
Scopus Publications
Vijay Kumar Pandey, Shewangizaw Getachew Terefe, and Pradeep Joshi
Inderscience Publishers
N. Kalaivani, Ramakrishnan Raman, Chethan Chandra S Basavaraddi, Vijay Kumar Pandey, and S. Sangeetha
IEEE
Passenger air travel experiences have been transformed by integrating Internet of Things (IoT) technology into the airline industry, giving conception to the concept of intelligent airports. It provides an advanced overview of how the IoT changes the airport experience for passengers and the industry. To improve efficiency, smart airports include IoT devices and sensors to monitor and collect real-time data. Due to IoT -enabled technologies, improvements in operational efficiency, reduced delays, and better resource allocation can be experienced across the board, from check-in through boarding and baggage handling. Wait times are shorter, security is tighter, and passengers have more direct contact with airlines. IoT also helps create tailored and smooth journeys for travelers. Passengers may get essential information, such as gate changes and flight updates, on their preferred medium, a smartphone app; for airports to better serve their customers, analytics powered by the IoT are essential. The IoT -enabled smart airports have revolutionized the air travel industry by making airports more user-friendly and placing passengers initially. Increases in connectivity and passenger satisfaction are in the works as the aviation sector continues to implement IoT technology.
R.Reena Roy, Ramakrishnan Raman, M. Amanullah, Vijay Kumar Pandey, and E.N. Ganesh
IEEE
Human activity degrades natural environments, and wildlife protection is crucial. Recent technological advances have improved animal monitoring and preservation activities. This research provides a real-time wildlife monitoring and analysis system using the IoT (IoT) and machine learning, specifically the Random Forest algorithm. The proposed method uses a network of IoT devices, including motion sensors and cameras. In real-time, these sensors generate massive volumes of diverse data regarding animal movement, behavior, and environmental variables. The Random Forest technique manages this data flow and gets significant insights since it can handle high-dimensional datasets and missing values. A large dataset of animal activity, environmental, and habitat characteristics is used to train the machine learning model. The Random Forest model outperforms existing classification algorithms in a rigorous assessment procedure, allowing exact species identification. Wildlife conservationists and academics may utilize the system's user-friendly interface to engage with data and see real-time analytics. This interface helps animal population protection by supporting decision-making. It shows the usefulness of the suggested IoT-based wildlife monitoring system and Random Forest algorithm in real-time species recognition and behavior analysis. Technology and advanced machine learning may boost conservation efforts and ensure a sustainable coexistence between people and animals in their natural environments.
S. Srinivasan, Ramakrishnan Raman, V. Sridevi, Vijay Kumar Pandey, and E. N. Ganesh
IEEE
The usage of a solar-powered buck converter within a low-power Internet of Things (IoT) system is suggested. The goal is to use solar energy to power IoT devices, which often utilize extremely small batteries and need to be aware of their impact on the environment. The system uses PV panels to gather sunlight, which the buck converter then uses to control and enhance the required voltage. Maximum power point tracking (MPPT) and pulse width modulation (PWM) are examples of control strategies used to improve efficiency and provide reliable voltage regulation. By continually modifying the PWM signal's duty cycle in response to the measured output voltage, stable functioning is ensured through feedback control. Reduced use of conventional power sources, longer device life, and the possibility of deployment in locations without access to electrical grids are just a few of the numerous benefits of the proposed system. The PV converter system is implemented in MATLAB software. This idea helps the creation of sustainable and energy-efficient IoT solutions via the use of solar power and advanced control methods.
Chitra Sabapathy Ranganathan, Ramakrishnan Raman, Vijay Kumar Pandey, S. Kavitha, M. Muthulekshmi, and Kanapathy Gopalakrishnan
IEEE
Organizations using big data analytics to enhance operations often load data into a cloud-based data warehouse. Dataflow on Google Cloud Platform (GCP) lets users extract, manipulate, and load data from diverse sources into Google Cloud Storage or Big Query. This article discusses Dataflow's advantages for GCP data import and how to build up a pipeline. Data intake and data-driven decision-making start the article. It then presents Dataflow, which can process batch and stream data and grow automatically dependent on data volume. The report also emphasizes the advantages of adopting Dataflow over alternative data ingestion solutions, such as its smooth interaction with GCP services, its user-friendly UI, and its cost-effectiveness. The article walks through building a GCP project, setting up Google Cloud Storage or Big Query as the destination for ingested data, launching a Dataflow task, and monitoring its progress. The study also examines data storage type, pipeline runner, and pipeline parallelism recommended practices for Dataflow pipeline performance. The article concludes with Dataflow use examples for real-time analytics for e-commerce websites, data transfer from on-premises databases to the cloud, and log analysis for system behavior abnormalities. The article finishes by underlining the necessity of data intake in the era of big data and how Dataflow may help companies maximize data value by simplifying data ingestion and analysis. Dataflow for data input in GCP and how it may help enterprises employ big data analytics to expand and enhance operations are covered.
Vijay Kumar Pandey, Abebe Shanko, Firdisa Birru, Vipul Jain, and Himanshu Kargeti
Inderscience Publishers
Vijay Kumar Pandey, Rajesh Kumar Upadhyay, Himanshu Kargeti, and Ashish Anand Tripathi
Inderscience Publishers
Rajesh Kumar Upadhyay, Vijay Kumar Pandey, and Amar Kuma Mishra
Inderscience Publishers