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50 articles for “Vector space”
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Simulation and Analysis of Three Phase VSI using THIPWM and SVPWM Techniques
Abstract: AbstractPWM methods is the most active topic for controlling the power electronic circuit. Several PWM approaches are more and more applied in various innovative applications of power electronics in industries that need greater performance of the system. These days the most relevant PWM method for 3 - phase VSI are SPWM, THIPWM and SVPWM. Out of these three methods SPWM is one of the naivest modulation schemes that can gather …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 3, 2019 · pp. 16–30 Read article
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A Novel PWM Based STATCOM Controller for Power Quality Enhancement in Distributed System
Abstract: Static Synchronous Compensator has the capability for the improvement in damping factor and stability by managing the reactive power output. As the STATCOM will itself absorb the reactive power which comes from the distribution line when we apply the capacitive load. To get the higher performance of STATCOM we are mainly depend over control algorithms. As the real power factor has been absorb by the STATCOM at the time when …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 24–32 Read article
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Closed Loop Control of Multi Level Inverter Tied with 415 V AC Source Using SV-PWM for Renewable Energy
Abstract: In this work, 415 V AC source is interfaced with three-level diode clamped inverter in which renewable energy source is used as a DC source, solar energy is used which is most popular renewable energy source. The obtained DC from the solar irradiation is fed to MPPT (Maximum Power Point Tracking) to utilize voltage at maximum power (DC). The perturb and observe technique is used in this work to track …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 55–65 Read article
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Direct Torque Control Based on Discrete-Time PI Controller of an SVPWM Inverter Fed Induction Motor Using Energy Model
Abstract: A direct torque control (DTC) of an induction motor (IM) with constant switching frequency has been presented in this work which is performed using space-vector modulation (SVM). The developed DTC scheme is based on the discrete-time PI controller strategy and this has been used to achieve direct control of torque of IM. To design the discrete-time PI (DTPI) controller the energy model of induction motor is simplified at the beginning …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 45–55 Read article
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Control of a Grid-Connected Variable Speed Permanent Magnet Synchronous Generator Based Wind Power Generation System
Abstract: Variable speed wind turbines are more efficient compared to their fixed speed counterparts since maximum power is extracted over a wide range of wind speeds. In this work a grid-connected wind power generation system is modeled and implemented in Matlab/Simulink using a permanent magnet synchronous generator. A back to back space vector pulse width modulated voltage source converter converts the variable frequency generator currents and voltages into DC, then back …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 8–24 Read article
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Design Simulation of Multilevel Neutral Point Clamped Inverter System for Solar Photovoltaic Applications
Abstract: This paper presents design and simulation of Neutral Point Clamped multilevel inverter system connected to a solar photovoltaic system. The design of multilevel inverter is based on neutral point clamped topology. The improved space vector pulse width modulation enables better performance and output of the system in both qualitative as well as quantitative factor. The system is connected to solar photovoltaic system and the output is realized in the form …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 32–42 Read article
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Study of Direct Torque Control of Three Phase Induction Motor by Matlab
Abstract: This paper presents the proposed direct torque control using space vector control which is based on a MATLAB/Simulink technique to replace proportional integral controller to control the torque of induction motor. The status of the torque and flux linkages applied the optimal switching logic. This optimal switching logic is used for the switching of three-phase inverter. The inverter output gives the controlled voltage vector that is applied to the induction …
Published in Trends in Electrical Engineering · Vol. 8, Issue 1, 2018 · pp. 24–29 Read article
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A Review on Data Structure
Abstract: AbstractThroughout the years, PC researchers have concentrated on a wide range of information structures for speaking and controlling information inside computer’s main and secondary memory. Methods for speaking and proficiently controlling information are vital to numerous PC programs. These examinations have appeared, both in practice and in theory, that the selection of information structures frequently considerably affects algorithmic execution. This paper addresses this issue by dissecting space effective geometric information …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 1, 2017 · pp. 24–27 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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A GIS Based Tool to Digitize Polygon and Line Segments of a Black and White Map
Abstract: In this paper a GIS based tool has been proposed to digitize polygon and line objects throughefficient usage of RGB values of the segments of raster maps. For digitization of polygon,initially a closed loop is drawn inside the polygon segment. Beginning from the initial point ofthe closed loop, eight connected pixels calculation is incorporated to obtain the pointsexisting in between the loop and the actual boundary. The points which exist …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 27–41 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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An Improved K-means Clustering Algorithm for Classification of Odor/Gas Sensor Data Using Normalized Cosine Distance Parameter
Abstract: This paper presents a novel approach of K-means Clustering for classification of odors/gases (E-nose) using cosine distance as a distance parameter. A sensor array constituting five sensors is exposed to four different types of gases to extract data. The problem of classifying the data into respective classes in considered as a K-means Clustering task. To quantify the amount of similitude between the data corresponding to same classes; usually euclidean distance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 56–60 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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Offline Handwritten Sanskrit Character Recognition System
Abstract: Despite technological improvements, computers still lag behind in language recognition. The majority of character recognition systems are incapable of reading cracked documents or handwritten characters or words. Sanskrit, an alphabetic script, is spoken by more than 100 million people worldwide. This study is about converting scanned handwriting images into text. This contains the steps below. The scanned image is initially segmented using a spatial space detection approach, after which the …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 32–37 Read article
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Kinematic Relations of Particle Motion using Polar Cylindrical Coordinates System: Applications in Robotics and AI
Abstract: This paper explores the motion of a particle in space using the cylindrical polar coordinate system. It presents the physics of particle motion by defining spatial positions in three-dimensional polar coordinates and examining the particle’s kinematics—namely its position, velocity, and acceleration—in vector form. These quantities are mathematically expressed as functions of time, accounting for the changing coordinates in radial, angular, and vertical directions. This coordinate system proves especially useful for …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 12–16 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article