Search
278 articles for “varieties”
-
Analytical Survey of Functionality of IoT Enabled with Renewable Power Resources
Abstract: Termination of energy and power resources are inevitable. All kinds of power and energy resources are vulnerable and in very limited quantity of availability. So, the alternate solutions should be explored in due time to restrain the need of industrial as well as environmental demands. The applications of IoT in renewable energy production involve sensors that are attached to generation, transmission, and distribution equipment. These devices help companies to monitor …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 33–38 Read article
-
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
-
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
-
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
-
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
-
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
-
Image Processing Invisibility Cloak: A Review
Abstract: We have seen invisible people in stories, but in the world, it is still not proven that invisibility exists. This review explains the invisibility of anything with the help of various technologies. On many commonplace commercial objects, you can find difficult patterns and backdrops. Such textual data may be presented in a variety of scales, fonts, colours, and orientations. The very basic operations are performed to process the frames, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 51–57 Read article
-
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
-
Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
-
Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
-
Seed Quality Analysis by Using Image Processing
Abstract: Globally, wheat is the principal source of vegetable protein in human food, having higher protein content than other major cereals like maize and rice. In terms of total production tonnages used for food, India is currently at second rank as the main human food crop. Determining the quality of wheat is critical. Specifying the characteristics of wheat manually needs an expert decision and is time consuming. Sometimes the variety of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 52–59 Read article
-
Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
-
Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
-
Water Quality Monitoring System
Abstract: For water resources to be used in a safe and sustainable manner, water quality monitoring is crucial. In this article, we present a comprehensive system for tracking a variety of metrics, such as pH, temperature, conductivity, total dissolved solids, and others, in water quality. Sensors and other analytical instruments are used in the system to gather data, which is then wirelessly transmitted to a central database for analysis and storage. …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 28–33 Read article
-
Microstrip Patch Antenna Review for WLAN and WiMAX Application
Abstract: In this fast growing world, dual and multiple band antennas have been playing a very vital role for the wireless service needs in the field of wireless communication. WLAN and WiMAX are the techniques that are broadly used in mobile networks such as handheld computers and smart phones. The above techniques are considered extensively world wide as a cost-effective, flexible, reliable and high speed data connection that enables user mobility. …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 2, 2015 · pp. 8–12 Read article
-
Power control in wireless cellular network using QOS constrained convex optimization
Abstract: For wireless cellular network with different QoS (Quality of service) constraints , a variety of power control problems with different objective functions and constraints can be formulated as non linear optimization. With the use of convex optimization they can accommodate realistic QoS constraints e.g. data rate, outage probability, throughput and SIR. In the high SIR regime these properties can be solved by converting into convex optimization problems in the form …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 2, 2017 · pp. 19–25 Read article
-
Security Attacks and Challenges of Wireless Sensor Network
Abstract: ABSTRACT Wi-Fi sensor networks is a rising field to analyze and improvement. Due to a huge number of software, avail advantages from such structures and has result in the improvement of Tiny, Reasonably-Priced, disposable and self-contained battery powered computers, known as Sensor Nodes or “Motes”. So the hard part of wireless sensor network is protection makes it more severe constraints than conventional networks. But there are several varieties of sensor …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 1, 2019 · pp. 21–27 Read article
-
Prepaid Electricity Billing and Fuse Monitoring System Using GSM
Abstract: ABSTRACTThe trend of the time has always been in favor of that technology which finally become cost effective as well as an elegant one. Traditional meter reading is performed by the human operator, this requires an extra variety of hard work operator and long working hour to achieve the complete area data reading and billing. Due to the increase in the development of. Residential building and commercial building the meter …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 2, 2019 · pp. 17–26 Read article
-
Automated IP Address Allocation and Recovery Using DHCP: Implementation Strategies
Abstract: The term for Dynamic Host Configuration Protocol is DHCP. It is an application layer protocol that servers use to learn about the network configuration. A DHCP server, under the supervision of the DHCP protocol, manages the dynamic distribution of network configuration elements like IP addresses, subnet masks, and gateway addresses. Without DHCP, a network administrator would have to take extra time and make uncomfortable efforts to manually send such parameters …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 38–45 Read article
-
Design and Development of Video Streaming App Using React Native
Abstract: An open-source framework called React Native is used to create mobile applications. It is created and managed by a group of independent developers and businesses led by Facebook. App developers and business stakeholders benefit from React Native's industry-standard functionality and premium capabilities for mobile applications at a reasonable cost. React Native is exceptional in that it enables you to create mobile applications for both iOS and Android while utilizing a …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 27–32 Read article