Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control
Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
Cricket is one of the most popular games among young players in India. The game result is purely based on the runs scored by the teams within the prescribed "overs". Hence the players will put maximum effort to score maximum runs as much as possible. The effort is how much force the players can exert on the bat while hitting the ball so that the ball can travel maximum distance in the ground. The average velocity of the ball thrown by the bowler is in the range of 40 km/h to 150 km/h which depends on the bowling speed of the bowler. Due to such high velocity of the ball hitting on the bat, high impact force is generated on the bat as well as on the arm of the player. This paper studies the strain, stress and energy due to ball impact force with different velocities using numerical method. Also experimental verification for strain measurement is done in real time using data acquisition devices.
In our project, the use of K-Nearest Neighbor (KNN) algorithm with transfer learning for the image classification and detection problems posed within the context of X-ray baggage security images has been considered. KNN approach requires large amounts of data to facilitate a complex end-to-end feature extraction and classification process. In the context of X-ray security screening, availability of quality dataset is a limitation. To overcome this limitation, we can employ a transfer learning paradigm such as a pre-trained KNN, primarily trained for generalized image classification tasks, where sufficient optimized training data are available can be customized for our application domain. Gabor wavelet would be used to extract the features and then these features will be used to train different images in the dataset using KNN. We would empirically show that fine-tuned KNN features yield superior performance when compared with the standard object classification tasks.
High performance digital computing devices like advanced microcontroller, plays vital role in the field of industrial and instrumentation electronic to control various physicochemical parameters. Among the various physicochemical parameters, humidity and temperature are important in the industrial process and controlling these parameters is critical. Therefore, this paper presents the ARM microcontroller based embedded system developed to control the physicochemical parameters. Utilizing the promising features of the ARM7 LPC2148 microcontroller, a prototype is developed to monitor and control the humidity and temperature. The resistive humidity and temperature smart sensor AMT1001 is interfaced with ARM7 to achieve the objectives. The digital readout is integrated in the design using the smart LCD module. The humidity and temperature are controlled with a fogger and a cooling fan which connected to the control unit through a relay. The firmware is developed in embedded C using Keil μVision5 IDE. The system under the investigation is calibrated as relative humidity in percentage and temperature in degrees centigrade. The paper discussed the design, development and implementation of the prototype along with the interpretation of the results under investigation.
Traffic on road has increased considerably due to active economy, especially in developing countries. Road accidents have increased with the increasing traffic. Driver fatigue causes around 30% of road accidents. Drowsiness may be caused by restless driving, health issues, extended working hours, etc. Therefore, for road safety, drowsiness of the driver needs to be detected and alerted, and at extreme conditions the vehicle may be parked using assisted parking system. Technology is available through cost effective devices which are simple to be integrated with other systems. This paper proposes a system that uses camera and other devices to achieve the goal. The proposed system will analyze the changes that happen in the face of the driver and process them through a program to detect drowsiness. A prototype will be developed and tested on real time to understand the efficiency of the proposed concept.
Programmable Logic Controller (PLC) plays vital role in many areas ranging from household system to complex Industrial control applications. PLC is one of the cost effective tool for many industrial and commercial automation application when compared with Human Machine Interface, SCADA, DCS and Robotics. This paper presents review on the role of PLC in different areas. It also highlights architecture, interfacing and programming of PLC. Application of the PLCs in various areas are also reviewed in this paper.
