AI Enhanced Eye Detection Wheelchair with Smart Monitoring using Deep Learning
Pain Alleviating and Movement Assistive Device for Bone Fractured Patients
Nature’s Pharmacy: A Deep Learning approach for Identification of Medicinal Plants
Design and Implementation of an Analog and Mixed-Signal System on Chip for ECG Monitoring
Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
Development and Performance Evaluation of Magnetic Abrasive Finishing Setup for Thick Cylinders
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Self-healing capability of newly developed Fe45Cr4Al1Ni03La refractory alloy has been investigated in this study. During the tests as substrates, the authors used both monocrystals (Nb and Mo) and polycrystalline (low alloyed Cr) samples. The selected substrates were coated with Fe45Cr4Al1Ni03La refractory alloy using the electron-beam vacuum evaporation o technique followed by high temperature (1200 C) treatment. The structural properties of the Fe45Cr4Al1Ni03La composition was studied using various techniques, such as SEM, WDS, AES, and LM. The results of the experimental studies demonstrated that the Fe45Cr4Al1Ni03La coating layer on the selected substrate surfaces at high temperatures has an ability to heal the micro cracks created as a result of mechanical and thermal damages. It is shown that the Fe45Cr4Al1Ni03La coating composite exhibits high adhesion with all selected substrates, and consequently, a high protective capability against both corrosion and wear at high temperatures. The newly developed Fe45Cr4Al1Ni03La composition is considered as a breakthrough engineered material for commercial applications at high temperatures.
This paper proposes an automated system for rotation, scaling, and translation invariant trademark retrieval based on colored trademark images. Trademark images are recognized using color, shape, and texture feature extraction. Color Feature extraction is done by implementing Color Histogram, Color Moments, and Color Correlogram techniques. Texture features are extracted by Gabor Wavelet and Haar Wavelet implementation. Shape feature extraction is implemented by using Fourier Descriptor, Circularity features. The proposed trademark retrieval approach uses Relevance Feedback and three kinds of query improvement strategies, New Query Point (NQP), Query Rewriting (QRW), and Query Development (QDE). The datasets used for experimentation are publicly available FlickrLogos 27 and FlickrLogos 32 databases. The query image is varied from the database images, by applying transformations on the query image like rotation, scaling, and translation of the image by number of pixels in X and Y direction. The system is tested for transformed query images with different combination of transformations. The proposed system is highly robust giving good retrieval results against these transformations.
In the present time, many Pulse Width Modulation (PWM) techniques are being used with induction motors to achieve variable speed for more efficient performance of the motor. The main task of the PWM technique is to achieve variable voltage and frequency supply from a three-phase voltage source inverter. The drives based on sinusoidal pulse width modulation control technique have been accepted widely in industry with reduced harmonics in the inverter voltage. Yet due to developments in power electronics and semiconductor technology it provides the authors with significant scope for further improvements in inverter voltage for better controlling performance of the induction motor. Through further reduction of harmonics, the inverter voltage is achieved in this paper by a new space vector pulse width modulation technique efficient with many advantages. In this paper, the Sinusoidal PWM and Space vector PWM inverter fed induction motor drives models have been proposed and simulation is done in the latest MATLAB simulation environment. It is observed that the Space vector PWM inverter gives encouraging results as compared to Sinusoidal PWM Inverter. In the future, the Space vector PWM control technique might be used in industry in place of Sinusoidal PWM control technique with efficient performance
A magnetic abrasive finishing process is a method of non-traditional precision machining in which the finishing process is completed using magnetic force and magnetic abrasives. In this research, SUS 304 thick cylindrical tube was finished using a magnetic abrasive finishing process with the objective of development of new MAF setup for finishing of Thick Tubes, to study finishing performance of developed MAF setup for internal finishing of stainless steel tubes (SUS 304) using diamond based sintered magnetic abrasives. This paper describes the development of the high-speed multiple pole finishing equipment and the effects of tube rotational speed on abrasive motion during the finishing experiments.
This paper proposes renewable energy system interface with AC distribution system. AC grid interaction improves the efficiency of the system and reduces the power demand. In this paper, issues on renewable system interfaces with AC system are analyzed theoretically. In addition, this paper proposes a protective scheme for islanding detection. In current scenario islanding condition is dangerous for grid operators who were not aware of the power from the distributed generation supplying load still connected even though there is no power from the grid. For this reason, islanding condition must be detected and immediately stopped from producing power. For that aspects, this work proposed a new current injection control technique using microcontroller to detect the islanding condition and provide human safety and equipment protection
In industries, the induction motor are more popular due to their brushless structure, low cost, low maintenance, and robust performance. However, the use of induction motor as AC drives becomes complex as it is a highly cross coupled machine. Over the decades various types of control methods are proposed for induction motor drives classified as scalar control and vector control techniques. The vector control technique enhances the performance of an AC Induction motor drive similar to that of a DC motor drive both under dynamic and steady state operating condition. The only issue that the vector control technique requires is coordinate transformation. In recent years, the development of Direct Torque Control (DTC) drive motors are gaining popularity due to its fast dynamic, response, and simple control structure. In order to enhance the performance of the DTC drives, the paper focuses on tuning the gains of the PI speed controller using the optimization techniques, namely the Genetic Algorithm; Ant Colony, and Bacterial Foraging Optimization. The results obtained using the tuned gain values by the above optimization techniques have been compared for speed control, reduction in torque ripples, and stator flux with respect to peak overshoot and settling time.