Journal of Computational Algorithms and Numerical Dimensions
Volume:1 Issue: 2, Spring 2022

In this work, we study the Variational Iteration Method (VIM) accompanied by He's polynomials for obtaining the solution of the temperature distribution in the casting-mould heterogeneous system with fractional order. The combined form of VIM and the Homotopy Perturbation Method (HPM) is called the Variational Iteration Homotopy Perturbation Method (VIHPM) which yields to implement the system of equations directly. The identification of the Lagrange multiplier is essentially more reliable and higher accurate for such type of problems. The approximate solution converges rapidly to the exact solution which confirms the accuracy of this approach. Some graphical representations are demonstrated to show the validity of this approach.

In this work, we consider a collocation method for solving the pantograph-type Volterra Hammerstein integral equations based on the first kind Chebyshev polynomials. We use the Lagrange interpolating polynomial to approximate the solution. The convergence of the presented method has been analyzed by over estimating for error. Finally, some illustrative examples are given to test the accuracy of the method. The presented method is compared with the Legendre Tau method.

In today's world, where speech recognition has become an integral part of our daily lives, the need for systems equipped with this technology has increased dramatically in the past few years. This research aims to locate the two selected Persian words in any given audio file. For this purpose, two standard and native datasets were prepared for this model one for train and the other for the test. Both datasets were converted into images of audio waveforms. Using the object detection technique, the model could extract different bounding boxes for each test audio, and then each box image goes through a CNN classifier and returns a corresponding label. Finally, a threshold is set so that only boxes with high accuracy are displayed as output. The results showed 93% accuracy for the CNN classifier and 50% accuracy for testing the model with object detection.

In Agricultural Fields there are different climate conditions, greenhouses parameters are important to monitored regulate the crop production, and we would like to make a automation system to trace down climate conditions at different locations. The Wireless Sensor Network (WSN) do the job to automate and analyze the comparable parameters. We would like to develop a smartphone application and sensors used are electrochemical sensors, location sensors BeagleBone Controller and Various Sensors are Used.

Filter convention is the grouping directing conventions in remote sensor organizations. The benefit of LEACH is that every hub has same likelihood to be a group head, which causes the energy dispersal of every hub to be generally adjusted. Helped LEACH (A-LEACH) accomplishes decreased and uniform circulation of disseminated energy by isolating the assignments of routing and data aggregation. It tells the idea of helper nodes which contain Cluster Heads (CHs) for multi-bounce routing. The plans of the E-LEACH calculation, which increment the network lifetime, further develop hub energy use. Filter C is a bunch calculation wherein group heads are haphazardly chose from the hubs with energy over the normal, and the mimicked calculation is used to find the arrangement with better situation to decrease the energy loss of bunch heads. Q-LEACH for homogenous organizations which lay out solidness period, network life-time and throughput calm altogether. In this paper we have given a short audit of these procedures and thought about it.

Agriculture plays an important role within the growth and development of the planet. By the year 2050 world population is predicted to hit several 960 million. It’ll be needed to provide double the amount of food than currently being made. To fulfil the human needs, it'll be needed to revolutionize a replacement agricultural era by introducing advanced technologies to the sphere and delivery them on a similar platform by victimization fashionable digital technologies. Agriculture is that the backbone of each country and economy. Smart Farming through IoT technology may empower farmers to upgrade gain going from the amount of manure to be accustomed quantity of water for irrigating their fields and additionally facilitate them to decrease wastage. And by using Artificial Intelligence [AI] sensors technology worldwide which helps yield healthier crops, track soil, manage pests, growing conditions, coordinate farmer’s data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.