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
This paper mainly describes a platform to achieve targeted drug delivery in the next-generation wireless capsule endoscopy. Targeted drug delivery helps in giving the medicine to the affected area only instead of giving it to the entire body. The major mechanism of the proposed system is the micro-positioning of the targeted medication with a level of 1 ml. This micro-positioning enables us to place the capsule in the required direction. The proposed micro-positioning mechanism allows a needle to be positioned within a 22.5° segment of a cylindrical capsule and be extendible up to 1.5mm outside the capsule body. The locomotion of the microrobot is achieved by magnetic mechanisms, which helps in holding the capsule as well as resist the peristaltic movement when necessary. The proposed infrastructure of the mechanism can be done using the combination of a single micro-motor with a volume of 200 mm3. An in-intensity evaluation of the mechanics is furnished and a top-level view of the requirements important to comprehend fashionable system integration is cited right here. This paper mainly aims to give the medication to the specified location. This will reduce the reaction of the drugs especially those drugs which are used for cancer treatment. Cancer treating drug when given through blood will reach all other organs before reaching the diseased tissue or part of the organ. Not only that, but it also helps to turn down the cost of drugs used for the cure. It is envisaged that the targeted drug delivery platform will empower a new breed of capsule microrobots for therapy in addition to diagnostics for pathologies such as ulcerative colitis and small intestinal Crohn's disease.
In any Industrial Automation there are many instruments wired together during a network to make them function using Programmable Logic controllers (PLC). Programmable Logic Controllers are industry-based computers that monitor inputs and control the output, supported the logic state of the input. Sometimes the system is placed in remote locations to regulate the functions of such systems. SCADA may be a system that permits to regulate, monitor and coordinate devices and components in real-time from a foreign location with the acquisition of knowledge for analysis and planning from one central location. The conveyor hardware is connected to PLC via RS232 cable. The PLC provides instructions by software referred to as WPLSoft 2.47 which can be interfaced with laptop. The hardware will be controlled via SCADA software on the PC. During this application, conveyor A starts when the package is sensed by S1 and conveyor B starts when the package reaches S2. Thereafter conveyor B runs forward and reverse and unloads the packages as per the preset counts sensed by S3 and S4.
The artificial neural network based Predictive and Inverse model controller schemes are applied to the simulation of the time-dependent behavior of an isothermal Continuous Stirred Tank Reactor (CSTR). In the first scheme, a methodology is proposed for training and prediction of dynamic behavior of isothermal CSTR using feedforward neural network. Then a nonlinear one step predictive control strategy based on identified model is proposed for CSTR control. In the second scheme, neural network based inverse model controller is presented. Here, the controller is a rearrangement of the plant model. The performances of both neural controllers are evaluated in simulation for both servo and regulatory problems and the results are compared with PID controller.
This paper proposes a heuristic control of the shunt active power filter for power quality enhancement. The present-day utility system as a linear model is unsatisfactory and the steps are laid down to discuss utility system as a nonlinear model. This paper deals the major power quality disturbance current harmonics with robust heuristic algorithm like the gravitational search algorithms. In this context, the shunt active filter is utilized as a active current controller. The harmonic content reduction in the source current is carried out with optimal tuning of the PI controller. The basic instantaneous active and reactive power theory optimized with GSA is used to generate the reference current signals required for compensation. The hysteresis band current controller is used to perform the switching operation of Voltage Source Inverter. Simulations are carried out in the MATLAB and SIMULINK environment.
