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557 articles for “Network”
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Dynamic Game Based CAPTCHA-A New Approach to Tackle Web Robots
Abstract: Abstract: "CAPTCHA" stands for Complete Automated Public Turning Test [1], is a security mechanism designed to differentiate between online bots and human. It is a challenged- response test for computing to determine whether the user is human or not. It is used to defend against the malicious bots programs. As use of Internet has been become vital issue and many web application facing a threat of web bots (Robots). Web …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 1–7 Read article
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Informatization, the Informational Conscience, and the Advancement of the Internet
Abstract: ABSTRACTThe Internet has evolved from a technology for government and business use into a way of life; used around the world every day by anyone and everyone. From its humble beginnings to the prolific, advanced communications system it is today, the technology has certainly seen an ascent to become the ubiquitous network it is now. Anyone, anywhere can contact others and see what they are doing, and also find ways …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 35–45 Read article
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Algorithmic Approaches for Data Mining and Machine Learning
Abstract: ABSTRACTTrends and technology always innovative and comes with some new. Sometimes technologies are introduces in more user friendly environment. In such version of technology advancement are also incorporated. Data mining is a best widespread knowledge attainment approach for knowledge discovery. The naval trends Machine learning also have a big interfere of data mining. Infect most of the data mining algorithm and methods are utilized for machine learning with minor amendment …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 24–29 Read article
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Study and Developing of Diversity Generation Methods in Heretogeneous Ensemble Models
Abstract: The article deals with the fundamental problem of generating a diversity of ensemble predictive models. Various approaches to ensemble diversity are described based on varying the input data set, varying the models used in the ensemble, varying within the model itself, and varying the way the results of the ensemble members are combined. A hybrid method for constructing a heterogeneous ensemble based on various types of neuro-fuzzy networks with a …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 8–15 Read article
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AWS Pros & Comparative Study between top CSPs (AWS, Azure, Google Cloud)
Abstract: Web has become tireless in day-by-day occupation furthermore Cloud process could be a rising model wherever registering assets offered over the net as adaptable, on-request (Web) administrations. net access must utilize large measures of money on framework must serve gettable purchasers that is not a difficulty for vast endeavor but with regards to little and Medium Enterprises or Enterprise's reasonableness turns into an incredible issue with the stupendous foundation come …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 1–13 Read article
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Analysis of Cloud-based System for best Performance by Data Centre
Abstract: Cloud Computing renders us a means by which one can access or lend the applications as utilities, over the Internet. It allows to construct, develop, configure, and personalize applications online. Cloud Computing is basically a lending system in which the investor or technically the service providers purchase the costly and expensive hardware which people couldn’t afford from the hardware creators and lends them and charges for hourly, monthly or you …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 14–23 Read article
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Blockchain – The Future of Medicare
Abstract: Blockchain is a decentralized ledger system that handles data and transactions using time stamped blocks. It operates in a decentralised manner through a computer network. In Medicare, blockchain has a wide range of applications and functions. Blockchain technology aids healthcare researchers in identifying genetic code by facilitating secure patient medical record transfers, controlling the medicine supply chain, and facilitating secure patient medical record transfers. Decentralisation and cryptographic hashing are used …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 Read article
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Soft Computing Techniques for the Integration of Distributed Energy Resources (DERs)
Abstract: One of the most attractive uses of AI in the energy sector is the integration of Distributed energy resources. Distributed energy resources relate to grids, the more complex energy networks are becoming for utilities to operate and manage. Mechanisms such as load and generation forecasting, demand response, power quality management, and voltage regulation, which have traditionally been used to manage DERs and the grid, are not sufficient. This is where …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 1–16 Read article
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Feature Extraction: Comparing Feature Extractors
Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article
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Video Coding with Packed Stream in Image Processing and Applications
Abstract: Scalable video coding is a technique which allows a compressed video stream to be decoded in several different ways. This ability allows a user to adaptively recover a specific version of a video depending on its own requirements. Video sequences have temporal, spatial and quality scalabilities. In this work we introduce a novel fully scalable video codec. It is based on a motion-compensated temporal filtering (MCTF) of the video sequences …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 36–44 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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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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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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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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Short Communication: Computerization of the Central Library
Abstract: The concepts of automation of library activities, areas and services such as acquisition, database management, classification and cataloguing circulation, serial control, information retrieval, communication networks, and documentation services etc. It mentions the need for Content Management System. Simplify the steps of software selection with the comparison in between some leading software's. Provides the options for choosing the configuration of computer hardware based on the size of the library
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 2, 2016 · pp. 18–21 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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User Trust & Item Ratings based Regularized Model
Abstract: We recommend TrustSVD, a faith grounded frame factorization system for proposals. TrustSVD integrates dissimilar data sources into the suggestion demonstrate to diminish the information sparsity and cool begin issues and their exploitation of proposal execution. An investigation of social trust information from four true informational collections proposes that the express as well as the understood impact of the two evaluations and trust ought to be thought about in a suggestion …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 19–23 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 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