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615 articles for “FEA”
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Artificial neural network based classification of varieties of thin and thick fabric images
Abstract: Abstract: The proposed work focuses on classification of varieties of thin and thick fabric materials from images. The morphological operations such as erosion and dilation are performed. Morphological features namely, avg_moments, average_area, roundness, max_area, average_perimeter, average_eccentricity, circularity and average_equivalent_diameter are extracted. The prediction is carried out using artificial neural network. The classification rates of 84.84% and 90.90% are obtained for thin and thick fabric images. The classification rates for varieties …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 31–41 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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Detection of Leaf Diseases Using Image Processing Techniques
Abstract: Agricultural field plays a vital role in the earning to feed ever growing population. The productivity of the crop depends on pest attack, disease, weather, etc. The disease in plants will affect the production of crops. Detecting diseases in plants through visualization is a traditional method which is not relevant. We are focusing on reliable, fast and accurate detection method that can be done using image processing techniques to monitor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 14–19 Read article
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Surveillance System Using UAV
Abstract: In today’s world, there is a growing need of security and protection for people. Even though the technologies are most advanced in current era, the much effected problem faced by every people in a country like India is, their own protection. The criminal activities on humans and animals are increased day-by-day. Also, disasters like natural and man-made causes lot of problems. The fate of these acts is uncontrollable. So, we …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 27–33 Read article
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Review Paper on Image Enhancement Using Various Methods
Abstract: Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 27–35 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 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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NLP in Sign Language Recognition Boon for Dumb People
Abstract: In order to help and provide facility to the persons who have vocal and hearing problems to communicate, this study provides a design innovative system. It discusses an improving technique for speech-to-sign translation and sign language recognition. The created method uses skin colour segmentation to extract indications from video sequences with a dynamic and minimally crowded background. It separates out the relevant feature vectors from dynamic movements and gives room …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning
Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article
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Continuous Mining Approaches with Obsolete Database: A Review
Abstract: The sequential pattern mining on progressive databases is very incipient approach, in which many researchers progressively discover the patterns in period of interest. Period of interest is a sliding window perpetually advancing as the time goes by. As the focus of sliding window changes, the incipient items are integrated to the dataset of interest and obsolete items are abstracted from it and become au courant. In general, the subsisting proposals …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 1–9 Read article
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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SARGoT: Smart Autonomous Robotic Goods Transporter
Abstract: In the present condition industrial loading and unloading of heavy loads manually is one of the most important objectives which turn out to be quite difficult, time-consuming and risky for humans. In this modern era, robots are being developed for various purposes to accomplish many tasks which seem to be too complex for humans. The advantage of using robots, for industrial purpose have been excellent in terms of speed and …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 23–29 Read article
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A Survey of Key Policy and Ciphertext Policy Attribute based Encryption on Various Security and Efficiency Parameters
Abstract: ABSTRACTCloud is providing various services and out of which storage is one such credential service. Many users are gaining benefits by storing their data in cloud because cloud provides unlimited storage, High speed Computations and better convenience. But the problem arises when the user has to store some critical data in the cloud. So, a promising Cryptographic scheme called as Attribute based encryption is needed which not only is showing …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 45–52 Read article
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Progresses in Network Safety Worldview: A Survey
Abstract: This survey paper examines the different cautious models and mechanisms utilized so far in network safety. Digital protection is an exceptionally delicate issue, where advances are coordinated step by step. To effectively manage sophisticated attackers, it is necessary to cultivate strengths in the form of a cautious approach to the rapidly evolving landscape of malware and other attack methods. Specifically, digitization and data framework started a fight for strength on …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 31–38 Read article
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Basic Electrical Power System Design Calculations of a Housing Unit
Abstract: Electricity is a necessity in human's daily activity. From simplest household to the more elaborate dwellings. Electricity is a basic need for human comfort. Basically, the electric circuitry in a house or building comprises the branch circuits, the feeders and the main. The National Electrical Code provides that the branch circuit that supplies current to lighting and convenience outlets shall be of ample size and rating to carry the ·expected …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 20–24 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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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article