Online ISSN: 2515-8260

Keywords : MATLAB


Agro based crop and fertilizer recommendation system using machine learning

Preethi G; Rathi Priya; Sanjula S M; Lalitha S D; Vijaya Bindhu B

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2043-2051

Over one third of world are employed in agriculture and the quantity is gradually falling because the financial losses of the farmers. One of the causes behind this momentary loss is the shortage for era in agriculture. Continuous cropping and over use of fertilizers cause the decline in soil productiveness and impact the environment as well The paper explains how the amount of soil vitamins and environmental factors followed by the pointers for cropping and special fertilization of the site can be established. 1 The selection of the best crop for the soil and the sowing of it to provide the full yield is one of the key problems in agriculture. The proposed method takes the soil and PH samples as the input and helps to predict the crops that can be recommended suitable for the soil and fertilizer that can be used as the solution in the form of the webpage.So, the soil information is collected through sensors an the data transmitted from the Arduino through Zigbee and WSN ( Wireless Sensor Network) to MATLAB and analyzing the soil data and processing is done with help of ANN (Artificial Neural Network) and crop recommendations is done using SVM ( Support Vector Machine ) .

A NOVEL METHOD OF EXTRACTING DATA IN STONE INSCRIPTION

Mrs.R.REENA ROY; ARUN KUMAR .P; HABIB DHULFIKHAR. H; CAROLINE. J

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2668-2680

Documents of the ancient time gift several opposition for standalone gesture recognition systems, among them, the division and classification steps. Fastidiously gloss wordings square measure is required to coach a system. In some eventualities, written document square measure solely offered at the subdivision level. During this activity, we have a tendency to demonstrate the way to train the system with few tagged information. We have a tendency to additionally propose a model-based social control theme that considers the variability within the writing scale at the popularity section. We have a tendency to apply this approach to the publically offered browse dataset. Our system achieved the competitor result. Humans have distinctive handwriting designs that prove to be an obstacle for handwriting recognition algorithms. To date, multiple researches are done to acknowledge these totally different handwriting designs, most notable mistreatment the synthetic neural network (ANN) with back propagation algorithms that has additionally been verified to relinquish adequately high accuracies. By mistreatment real time method image capturing, this technique and algorithmic rule will be enforced to use multiple written entry information for faculties and universities, wherever the written information of a regular score sheet from totally different people will be transferred to a computer program.

An approach to develop a smart and intelligent wheelchair

Mrs.Iyswariya. A; S.Gowtham Reddy; V.Vineeth Reddy; P.Santhosh Reddy; Mrs.K. Jeevitha; V.Praveen Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2214-2222

The Smart Wheel chair system proposed in this paper helps to physically disable people or adulthood people to move around without others help. Normal wheelchairs are manually operated and heavy to move. It makes suffered people to depend on others. These wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed smart wheelchairs in general literature overviews. n the existing system, the wheel chair movement is controlled by joystick and buttons are used to start and stop the wheel. This is difficult to handle the differently able person to press the button. In the proposed system, the physically disabled person can control their wheel by manual. MPU6050 sensor is used for gesture symbol. In manual mode MPU6050 sensor and accelerometer is used to control the direction of the wheel of the motor. The proposed system contributes to the self dependency of differently able and older person. The robot will be access both manual and automatic mode. Blood oxygen sensors monitor the oxygen level of blood in patient body, blood pressure sensor monitor the patient heart rate parameter and the temperature sensor is used to calculate the body temperature, these sensor are monitor by the microcontroller and the microcontroller collect the data are sending to mobile phone via Bluetooth module.

Modelling and Control of Shell and Tube Heat Exchanger using Model Predictive Controller

T SURENDRAN; K. NANDINI; GUNASELVI MANOHAR; S NAGARAJAN; R LAKSHMI

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2821-2827

In this article, A Multi-Input Multi-Output system is mathematically modelled using energy balancing differential equations. To model a MIMO system, specifications are very important. The data samples of MIMO are collected from a shell and tube heat exchanger hardware setup. The real time data samples collected are substituted in the predefined differential equation to create a Shell and Tube heat exchanger model. The model output would result as the output obtained from a shell and tube heat exchanger hardware setup. Since shell and tube heat exchanger modelled has two inputs and two outputs, system model is also a TITO system. The System identification method was employed for TITO system modelled to obtain the linear model as the output was highy nonlinear and its transfer function model was determined that had process interaction. The interaction in process doesn‘t allow the system to attain its steady state value faster. Classical controllers were employed for the process to attain steady state faster but the results were not satisfactory. So, Model Predictive controller was used for the designed system to obtain the output responses faster to the desired value by minimizing the error drastically. The nonlinear model response, linearized model response, open loop response and closed loop response with MPC for the designed system were compared and analyzed.