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543 articles for “LAN”
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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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Integrated PM2.5 Estimation Using Satellite Images, Pollution Station Data, Meteorological Data and Artificial Neural Network (Case Study: Tehran City)
Abstract: ABSTRACTNowadays, the use of remote sensing to monitor airborne particulates by spatial continuity is made possible by the MODIS Sensor Aerosol Optical Depth (AOD) products. In this study, a simplified aerosol estimation model (SARA) was used to estimate the aerosol optical depth. For this purpose, the MODIS sensor data as inputs to predict PM2.5 near the surface, aerosol optical depth data and meteorological data (wind speed and direction, air temperature, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 38–50 Read article
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Research Paper on Handwritten Character Recognition
Abstract: Handwriting recognition is the capacity of a machine to get and decipher penmanship contribution from numerous sources, for example, paper records, photos, touchscreen gadgets, and so on. Handwriting and automatic character recognition are an emerging area of research and find many applications in banks, offices and industries. The main objective of this project is to design an expert system capable of efficiently recognizing a format character of a particular type …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 1–5 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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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 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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Agribot: An Agriculture Robot
Abstract: Agribot is a robot designed for agricultural purpose. As one of the trends of development on automation and intelligence of agricultural machinery in the 21st century, we are applying the idea of robotics technology in agriculture, since robotics technology is used in many of the fields such as defense, surveillance, medical field, industries and so on. In this paper, the robot system is used to develop the process of cultivating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 14–17 Read article
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A Study and Analysis Among Dijkstra’s Algorithm, Bellman–Ford Algorithm and Floyd’s Algorithm on Run-Time Basis Using Source Code
Abstract: Numerous applications like communication network and transportation use shortest path algorithm to notice the shortest path between two nodes. In the Single source shortest path algorithm, a shortest path is calculating from one node to another node. In the present paper, I have compared the results of the shortest path algorithms (Dijkstra, Bellman–Ford) on the basis of running time. I am using C# programming language to compare the algorithms. I …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 60–70 Read article
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A Descriptive Blockchain Technology Government Application Analysis
Abstract: ABSTRACTBlockchain is a flux technology regarding government knowledge resource sharing that enhances its legitimacy and security. During this exposition, we tend to gift a technical organization that includes of managing and accessing knowledge at government level and its use cases that embody digital identity, Hyperledger Indy, Tax Payments and Land register Records. By this, we tend to build a blockchain-based information sharing platform that's secure and a lot of reliable …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 28–35 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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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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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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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Artificial Intelligence Based Twitter Sentiment Estimation
Abstract: Twitter is platform which provide services like micro blogging in which user have to write the thought in less than 140 words. The objective of tweet sentiment analysis is to view as the positive, negative,or impartial, happy, sad, satisfied, and other emotional sentiment part in the twitter information. Sentiment analysis can assist any association with tracking down individuals' assessments of theirorganization and items. Twitter is increasing their services at an …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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RESEARCH AND IMPLEMENTATION OF QAM SIGNAL USING TEXAS INSTRUMENTS (TMS320C6713)
Abstract: During the last two decades the growth of digital communication and modulation techniques are widely considered in real time application in order to transfer reliable information with high data rate. Since digital modulation is resistible to noise people show interest in adopting it. Though there is various modulation techniques QAM is one of the most commonly used modulation. The QAM has higher efficiency power which results its application in mobile …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 2, 2016 · pp. 26–32 Read article
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Biometric Fingerprinting and Face Recognition Based Security System
Abstract: ABSTRACTThere are several applications of biometric and face recognition based security system like industries, offices and colleges or homes. This project is an amalgamation of “BT” and “ESD”. The most important part of this system is the fingerprint sensor. Fingerprints of the person is detected using biometric sensor to detect fingerprint. The techniques used for detecting fingerprint are ultrasonic, optical method or thermal. In this paper, fingerprint sensor is used. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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Routing Algorithms
Abstract: The algorithmic steps involved in the Particle Swarm Optimization Algorithm are as follows: Ant, Bee, GA, PSO, Ant-GA, Ant-PSO, Ant-Bee, GA-PSO, Bee-GA, Bee-PSO are the various optimization techniques used in packet delivery between networks. Routing is the process of transporting data from a source to a destination in a network. The simulation time and throughput determine the output of these algorithms. The experiments are carried out using the NS2 software …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 8–16 Read article
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Harnessing the Power of Information Technology in Libraries
Abstract: In an age characterized by rapid technological advancements and an ever-growing volume of digital information, libraries face the imperative to adapt and harness the power of information technology to remain relevant and fulfill their mission as information hubs. This abstract explores the transformative impact of information technology on libraries, highlighting key themes and challenges in this dynamic landscape. Libraries have evolved from traditional repositories of print materials into dynamic digital …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 16–20 Read article
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Analyzing A Public Opinion towards Recent Trends of Advertising: A Literature Review
Abstract: This literature study aims to analyze the ever-changing landscape of public opinion toward advertising and its recent trends, including several elements that impact individual perceptions and preferences. This writing provides a comprehensive analysis of the complex interplay of the general population, media outlets, and the advertising sector. This literature analysis examines the influence of emerging technology, ethical considerations, the significance of cultural diversity, and the evolving notion of consumer empowerment …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Developed Software “Medical Office” as Main Part of Embedded Computing Medical System
Abstract: The embedded system is a combination of computer hardware and software, designed to develop and implement algorithms in programming languages in such a way as to use several computers as automated workstations of a doctor to solve the general problem of medicine - the coverage of monitoring patients, their treatment and predicting the results of treatment in large medical center or centers.This goal is achieved through the development of such …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 17–29 Read article