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32 articles for “independent component analysis”
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Evaluation Algorithm for Discrimination between Fault and Power Swing Using Independent Component Analysis
Abstract: The analysis of faults and disturbances in power systems is a basic requirement for a secure and reliable electrical power supply. Independent component analysis (ICA) is an efficient computational method used to find out hidden components in a set of sampled data. The basic target of ICA is to find a linear representation and relation between nongaussian data captured during disturbance, so that the components are statistically independent, or as …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 53–59 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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A Survey of Multiwavelet Filtering Based Denoising Techniques for Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. We have presented a survey of the popular denoising techniques used in the literature to achieve the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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Image fusion, compresion and separation and segmentation Technique
Abstract: Image fusion compression Separation and segmentation is very typical task in image processing field In this paper we have done image fusion with help of Principal Component analysis(PCA) and Independent Component analysis(ICA) and compression with Principal Component Analysis (PCA) and Separation with Independent Component analysis (ICA) ,Scatter graphical method and convolution Mixture technique and segmentation with watershed technique and K mean ROI Focus on Different technique of image and signal …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 27–36 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
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Comparative Study of Structure-from-Motion Algorithms 3D Shape Reconstruction
Abstract: 3D shape reconstruction from multiview photographs and video sequences (2D images) is an active area of research. Existing face recognition systems are based on 2D facial images and exhibit well-known deficiencies. Accordingly, the face recognition research is gradually shifting from classical 2D to sophisticated 3D or hybrid 2D/3D. Currently the 3D reconstruction algorithms may be grouped in to four categories. These are shape-from-X, 3D morphable model (3DMM), structure from motion …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 1–10 Read article
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Non-invasive Extraction of Fetal Electrocardiogram and Maternal Electrocardiogram from Mixed Source Signal
Abstract: This paper is to bring in self-regulating methodology to obtain Fetal Electrocardiogram (FECG) and Maternal Electrocardiogram (MECG) from the mixed source signal. The Abdominal Electrocardiogram (AECG) is treated as an input signal to achieve the above-mentioned goal. FECG and MECG can be differentiated according to the power of a signal. FECG are weak signals as compared to that of MECG. But, FECG signals are engrossed in various other interference signals …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 16–22 Read article
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Cognitive Enhancement of the Brain: Removal of Artefacts
Abstract: The study aims to investigate and explore the various methods to find psychological and physiological signals of any subjects. Their pre and post data recordings are studied as a part of this study. The study is named as the “Cognitive Enhancement of the Brain.” Various features which are there in the physiological signals are actually processed to be extracted then classified and then interrelated or correlated by using various tools …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 21–25 Read article
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Chi-Square Statistic and Principal Component Analysis Based Compressed Feature Selection Approach for Naïve Bayesian Classifier
Abstract: Many of the machine learning algorithms are based on an assumption of attribute independency and often used in domains where the assumption doesn’t hold true. Naïve Bayesian (NB) classifier makes assumption that all the features are conditionally independent given the class labels; In this paper, attribute dependencies were analyzed using Chi-Square test and the Principal Component Analysis (PCA) was carried out on the whole dataset to get a set of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 16–23 Read article
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A Review on Productivity Improvement on CNC Lathe by Automatic Loading and Unloading of Bearing Component
Abstract: The present techno-economic scenario conventional lathes are replacing by computer numerical controlled machineries for mass production and quality work. For improve production rate, efficiency improvement, reduce machining cycle time, cost reduction ,material handling, eliminate waste and overcome the fatality of labor during machining operation, manufacturer are including in computer numerical controlled machines ,solution of loading and unloading of components on machine with automation instant of manually loading and unloading to …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 75–82 Read article
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LBP-HOG-Statistical-Wavelet Transform Feature Based MCA Classifier
Abstract: Face recognition systems use computer algorithms choose specific, recognizable features on a person’s face. With a mathematical representation, the information is compared to data on other faces acquired in a face recognition database. The distance between the eyes or the shape of the chin are two examples of these characteristics. The job of matching several facial modes, such as visible and near infrared images, is known as heterogeneous face recognition. …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 19–30 Read article
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Coordinated Checkpointing Algorithms: A Comparative Analysis
Abstract: In distributed system collection of independent computers appear to the users as a single computer. The property of fault tolerance is that it enables a system to continue operating properly if the failure occurs in the event of some of the components. Minimum process coordinated checkpointing is an appropriate approach to initiate fault tolerance in mobile distributed systems. Checkpoint-based rollback recovery restores the system state to the most recent reliable …
Published in Current Trends in Information Technology · Vol. 5, Issue 3, 2015 · pp. 14–20 Read article
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PLANNING PROPOSAL FOR DEVELOPMENT OF LOGISTIC PARK USING BWM METHOD: A CASE OF DREAM CITY, KHAJOD, SURAT.
Abstract: In the recent era, Transportation considers the foremost powerful component of the business supplying system. There’s also an independent relationship between the transport infrastructure and therefore the logistics system. The study aims to hold out a comparative analysis of transport-logistic problems supported intelligence parameters that affected them. Within the research study, the authors focused on the foremost affected criteria on logistics systems namely administration, technology, geographical and transportation. The BWM …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 10–18 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Metal Forming Management: Through Efficient Technology System
Abstract: The paper gives an account of the control of technological parameters in the manufacturing areas of rolling, forging and extrusion, besides the analysis of their role-playing to yield a fit component of right and requisite mechanical properties. The control of process parameters, the various dependent and independent variables, with efficient and frequent monitoring of recommended/design process parameters is vital towards controlling the manufacturing and hence economy of the manufacturing process. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 60–72 Read article
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Analytical Techniques Used In Metabolomic Analysis
Abstract: Comprehensive studies regarding metabolomics provides us ample of information about the structural properties and various other parameters pertaining to the molecule under study. Metabolomics is employed for managing long-term illness such as cancer, diabetes. It’s applications also stretch to treating diseases such as tachycardia along with various cardiovascular diseases. It is used to treat inborn errors of metabolism which are found out in infants. These molecules along with processes of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 3, 2023 · pp. 52–68 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Texture Study on 316L Weldments after Heat Treatments
Abstract: AbstractAustenitic stainless steels are regularly used as components in many parts and vessels work in the ocean. Also, 316L stainless steel (SS) is used in nuclear reactors, located near sea. 316L SS base metal (BM) and weld metal (WM) are aged at 450°C and at 350°C for 6000 hours and texture analysis using electron backscatter diffraction (EBSD) revealed that the texture is independent of delta-ferrite content. Inverse Pole Figures (IPF) …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article