Journal of Computational Algorithms and Numerical Dimensions
Volume:1 Issue: 1, Winter 2022

System of linear equations plays an important role in science and engineering. One of the applications of this system occurs in the discretization of the partial differential equations. This paper aims to investigate an experimental comparison between two kinds of iterative models for solving the elliptic partial differential equations. Different tools of solution such as stationary and non-stationary iterative methods with preconditioning models have been studied. Two types of discretization schemes (centered and hybrid) have been also considered for the comparison of the solution.

By using Internet of Things (IoT) we can make the things easier for our livelihood. The concept of smart parking in sensors is the combination of IoT. I.E By sending the status of the parking IoT through the internet, So that any person can see that which parking IoT is empty through the map and can easily park the vehicle. By using IoT the user can track the availability of the parking IoT through the web application to park the vehicle. In the existing systems the parking done manually and the user will probably had cases for looking for parking IoT for long time and there will be a chance for mismatching of parking IoT for the user. Smart parking provides parking efficiency and it reduces the time of searching for parking. The main concept of smart parking is to reduce searching for the parking IoT. Smart parking can optimize the traffic flows in the entire cities. The application uses IoT sensors just to receive the information about the parking IoT ’s.

Man has been benefited a wholesome with the idea of sensors. Sensors not only help us in gathering data, but also provide us a solution to many unsolvable problems. Applicating them over a wide area is quite a tough task, Hence the idea of Wireless Sensors Networking has been introduced. This idea has boosted the success rate of different experiments in the fields of health, Finance, Security, etc. where simple factors like temperature, motion, smoke, pressure etc. are used to muster the required data. These Wireless sensors are basically connected and are allowed to share their information over a network which indeed is connected to the main data center. Simply said this accumulation of sensors wirelessly has provided immense advantage for today’s era. Sensors have extended the sustainability of mankind by making work easy in both domestic and hostile environments.

In this paper named Internet of Things (IoT) based river water quality monitoring gives the outcome of Quality River of water by the advantage of various advanced techniques (IoT), Wireless Sensor Network (WSN). As part of this we have made the things to collect the data and transfer the data to the software that we have made. Then the data that we collect using various equipment and be analyzed using the software that we have designed. Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water.

Agriculture is the foundation of India and almost 70% of individuals in our nation rely upon agribusiness. The yield of horticulture ought to be expanded quickly to satisfy the food necessities of populace all through the world. Present day’s remote sensor organization (WSN) utilized for taking care of many on-going issues. Horticulture is one of the significant hotspots for every living thing. Yet, these days’ agribusiness crops are impacted because of numerous natural changes. WSN assists the rancher with creating the harvest with high amount and diminish the expense of yield. Agribusiness gets impacted by climatic change, ecological change, and cataclysmic event. Utilizing WSN the dirt and water the executives should be possible. To conquer this WSN takes significant job in the field of agribusiness. In horticulture WSN utilized for checking, estimating temperature, water system framework, estimating water supply, etc. Here remote sensors are utilized so the expense of execution is exceptionally low.

Parking a vehicle in dense traffic environments often leads to excessive driving time in search of free space, which leads to congestion and environmental pollution. Lack of guidance information about vacant parking spaces is one reason for inefficient parking behavior. Smart parking sensors and technologies facilitate the guidance of drivers to free parking spaces, thereby improving parking efficiency. Currently, no such sensors or technologies are used for the open parking lot. This study reviews the literature on the usage of smart parking sensors, technologies, and applications and evaluates their applicability to open parking lots. To develop smart parking applications for open parking lots, further research is needed in deep learning and multi-agent systems.