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
The significant efficiency advantage of the Carnot cycle over the Rankine cycle is due to the fact that in the Carnot cycle all external heat addition is at a single high temperature and all external heat rejection at a single low temperature. The Rankine-cycle thermal efficiency could be improved by increasing the average water temperature at which heat is received. This could be accomplished by an internal transfer of heat from higher-temperature steam to lowtemperature feed water. An internal transfer of heat that reduces or eliminates low-temperature additions of external heat to the working fluid is known as regeneration. Regeneration is accomplished in all large-scale, modern power plants through the use of feed water heaters. A Feed Water Heater (FWH) is a heat exchanger in which the latent heat (and sometimes superheat) of small amounts of steam is used to increase the temperature of liquid water (feed water) flowing to the steam generator. There are two types of feed water heaters, (i) Open Feed water heaters and (ii) Closed Feed water heaters
This paper explains the tuning of analog controllers P, PI and PID for superheated steam temperature system using Genetic Algorithm based on ISE, IAE and ITAE as the objective function. The analog controllers have a wide range of applications in industrial control. The fifth order model of superheated steam temperature system is taken for study. Most –τs of the tuning algorithms are based on FOPTD models which is given by G(s) = Ke /(Ts+1). If the plant is not approximated well to FOPTD model, good controllers may not be designed using existing algorithms. Genetic algorithm is a stochastic algorithm based on principles of natural selection and genetics. To tune the analog controllers using genetic algorithm, it does not require any FOPTD model. Hence the analog controllers P, PI and PID are tuned using genetic algorithm for superheated steam temperature system and the results are compared
Magnetic Resonance Imaging (MRI) is one of the best technologies currently being used for diagnosing brain tumor. Tumor detection and segmentation from MRI image is very important in medical imaging but apart from time taken in diagnosis accuracy of detection is also poor. For segmentation of medical images, clustering techniques such as kmeans and c-means clustering methods are widely used. The authors have implemented c-means clustering method and optimized its performance by using genetics algorithm. The combined approach resulted in improvement of segmentation efficiency and higher value of true positive pixels belonging to tumor region.
Teleophthalmology has the potential to help in electronic delivery of diagnostic and healthcare services to remote rural population. It enables one or more ophthalmologists to remotely examine a patient's condition via public Internet networks. Large bandwidth is necessary for transmitting retinal images over the wireless network. So there is an immense need for high speed and efficient transmission and reduction in storage space resourceful compression techniques is essential. The main goal of proposed work is to provide an efficient tool for defining to maximize compression and reconstruct image portions lossless. This paper is proposed to analyze multiple compression techniques based on Region of Interest (ROI). In the diagnosis of retinal images, the significant part is separated out from the rest of the image using improved adaptive fuzzy C means algorithm and Integer multi wavelet transform is applied to enhance the visual quality in significant part. The region of less significance are compressed using SPIHT algorithm and finally modified embedded zero tree wavelet algorithm is applied which uses six symbols was applied whole image then Huffman coding is applied to get the compressed image for transmission. The compressed medical data are transmitted over transmission control protocol (TCP) network. The proposed algorithm would have given better quality, if the images will use ROI compared to that of the other methods. The performance of proposed system had evaluated based on Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), Normalized Average Error (NAE), Average Difference (AD), Maximum Difference (MD), Mean square error (MSE), Root Mean Square error (RMSE), Signal to Noise Ratio (SNR),Normalized cross correlation (NCC), Structural Content (SC),Encoding and Decoding time. The new compression and transmission algorithm shows a better efficiency for retinal image. The result analyzed using MATLAB and realized in hardware. As a result, the Teleophthalmology is provided the remote patients with a cost-effective access to specialist's eye checkups at primary healthcare clinics, and at the same time, minimize unnecessary face-to-face consultation at the hospital specialist's center.
Diabetic retinopathy remains the leading cause of severe vision loss and blindness in the developed world, in spite of recognized ocular treatments that are successful at reducing the rate of vision impairment. Retinal photography appears a promising method to perform screening in such a setting utilizing new 45 degrees + retinal cameras that do not require pupil dilation and can be operated by a trained, non ophthalmic technician. Certain developments may make the photography more successful including the conversion to electronic chip camera sensors that allow each picture as it is taken to be immediately projected onto a monitor for evaluation and assessment. Utilizing a non mydriatic camera, studies of single-field photography through a dilated pupil have demonstrated superior or equal sensitivity to funds examination by an ophthalmologist in a number of studies. However, photography without pupil dilation, especially in the older age group may result in poor-quality photographs owing to intense bilateral pupil constriction after the first images and also due to the presence of cataracts. Computer analysis of the retinal images allows extraction of quantitative data, not only of the diabetic lesions but also of vascular changes that, up until now, have been impossible by human grading and potentially allows a much more detailed and quantitative evaluation of the progression of retinopathy over time. When success of image processing algorithms is demonstrated for a large number of images taken under screening conditions, the benefits of retinal photography and image processing to provide timely, reliable, quantitative and cost-effective results, will make this the preferred method over physician examination or human grader evaluation of the images.
