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1604 articles for “analysis”
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On Image Processing Using MATLAB: A Survey
Abstract: Abstract The digital image processing research has following attributes: Image Acquisition, Image Enhancement, Image Segmentation Feature Extraction and Classification. Each steps of digital image processing research has gone long way in developing the techniques, algorithms and methods. This paper will study the use of MATLAB in the steps of digital image processing research. Record each techniques and algorithms, discuss about the sequential timeline development of the algorithms. The performance of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 28–33 Read article
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Enhancement K-Mean Algorithm (EKM) for Image Processing in MATLAB
Abstract: In this paper, a new segmentation scheme for the white blood cells from microscopic images is proposed. This is based on the K-means clustering technique. The RGB test images are converted to the L*a*b color space, and then the two color machinery (a and b) are used as features to the K-means clustering algorithm. The success of image analysis depends on segmentation reliability. The accurate partition of the image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 10–13 Read article
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Detection of PARD Attack Using Key Based Biometric Authentication System Based on Fingerprint Impression
Abstract: Biometric authentication plays a major role in security as these are by nature unique for every human. But the security is compromised when the pattern matching system is not accurate. Authentication system like fingerprint recognition is most commonly used biometric authentication system. In this paper, survey is done on fingerprint recognition techniques. And different approaches are studied in terms of accuracy and performance. As fingerprint may also contain noise; so, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 25–34 Read article
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Adaptive Visual Tracking for Human Motion Detection
Abstract: Abstract—Object detection is one of the fundamental steps for automated video analysis in many vision applications. Object detection in video is usually performed by background subtraction techniques. In the existing method they proposed object detection by pixel variation of the image from one frame to another and the background subtracted by the training process in the recorded videos. In the proposed method the object is detected in the live video …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Smart Video Surveillance System in Banks
Abstract: This review paper represents an aristocratic approach for acute video surveillance system and human activities automatic recognition from video sequences and has an embellish presence in every sphere of life. This paper is reviewed about video monitoring systems with its uses and kinds of video superintendence techniques. But we have mainly concentrated on acute video surveillance technique based on summarization because it provides behavioral analysis capabilities based on any videos. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 1–4 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Human Mood Identification (Data Recording System)
Abstract: Researchers across a variety of fields are becoming more interested in a human-computer interface system for automatic facial emotion identification. In our project, an Automatic Facial Expression Recognition System (AFERS) which records emotion for physiological analysis has been proposed. The suggested process consists of four steps: Identifying every face in the frame is part of the first stage. We focus on each face and adjust it in such a way …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 15–19 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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INDISCRIMINATE BASED UNIT TESTING FOR AUTOMATED TEST STATEMENT PRODUCTION
Abstract: Random based mostly Testing is that the follow of victimization organisation for a few aspects of check computer file choice. During this system describe the unit check knowledge generator. Its 2 levels. The lower level could be a Random based mostly unit testing engine that tests a collection of ways in keeping with parameter values specific as genes in a very body, together with parameters that encrypt a worth utilize …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 1–5 Read article
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PATrIoT: Precision Agriculture Through Internet of Things
Abstract: The paper report is on the design of the sensor network when connecting agriculture to the IoT. Reliability, management, interoperability, low-cost and commercialization are considered in the design. Finally, we share our experiences in both development and deployment. This paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 16–22 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Trends and Techniques of Software Cost and Performance Measurement
Abstract: Software measurement is an evolving aspect of software engineering providing the necessary support to plan, execute, control, and improve the software development process. However, Software metrics constitute a set of acceptable variables of measurement encompassing diverse activities that require some level of quantification of which cost, and effort estimation are inclusive. This study was aimed at reviewing the various trends and techniques in software cost and performance measurement. The study …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Inverse ABCD Parameter Determination Using Spice
Abstract: Spice/Pspice Models using the inverse transmission parameters for linear two port analysis are given. The inverse transmission parameter determination for a circuit using SPICE2/Pspice is carried out. While the first procedure and files are for the calculation of Inverse ABCD parameters where the circuit is purely resistive and dependent sources, the second is for general two port network using linear elements and small signal models of active devices like BJT, …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 1, 2017 · pp. 14–19 Read article
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Multiple Input Bidirectional DC–DC Converter for DC Drive Applications
Abstract: Multiple input bidirectional DC–DC converter is presented in this paper. This converter is used as an auxiliary supply for a DC motor drive. Motoring action as well as regenerative braking take place due to the bidirectional power flow capability of the converter. The converter is more advantageous because of multiple input capability. This will reduce the components and so the size of the overall system. Moreover the converter can interface …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 1, 2018 · pp. 23–32 Read article
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Optimization of 3D Printed Two-wheeler Suspension System
Abstract: The suspension is the very important criteria of a two-wheeler in order to improve the comfort for the operator or rider of the two-wheeler. In most of the two-wheeler’s shock absorbers are used as a suspension system to smooth out or damp shock impulse and dissipate energy by use of spring’s compression and relaxation property. The system consists of a spring which allows the frame and vehicle intact while riding …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 51–57 Read article
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Robot Kinematics and Neural Networks: A Summary
Abstract: The robot control problem can be divided into two main areas: kinematics control (coordinating the kinematics chain links to generate the robot’s desired motion) and dynamics control (driving the mechanism's actuator to obey the programmed positions and speeds). Further, the kinematics analysis is performed in two ways in robotics, with forward kinematics (FK) and inverse kinematics (IK). FK is defined as the mapping from joint space to Cartesian space (also …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 40–45 Read article