Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Jagdish Chand Bansal,Mukesh Kumar Gupta,Basant Aga Conference proceedings 2020

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A Distributed Algorithm to Create a Minimum Spanning Tree in a Multi-channel Cognitive Radio Networm access is used in multi-channel networks. The CRNs are more efficient than traditional networks in terms of bandwidth utilization. The CRN is symbolized by selecting a channel for each unlicensed user from the set of available channels at every point in the path. Routing is possible if at least on

大气层

A Distributed Fault Analysis (DFA) Method for Fault Tolerance in High-Performance Computing Systemsfailures and recovery operations. In addition, HPC is expected to meet large-scale computation needs in the future by minimizing the average failure time to almost negligible and by overcoming the growing challenge of handling fault tolerance. This paper proposes a novel distributed fault analysis (

Surgeon

Ontology-Driven Framework to Automatically Generate University Timetable,sities make timetables manually, which are inefficient and consume a lot of time. Also, a large number of backtracks are required if some inconsistency is encountered. To generate a university timetable automatically, we present an ontology-driven approach that is much more efficient than the existi

Omnipotent

A Survey on Task Scheduling and Resource Allocation Methods in Fog Based IoT Applications,the same time, the issues in this technology also need to be addressed while allocating and deploying resources. Regardless of rapid growth of cloud computing, plenty of issues are there which are necessary to be solved due to ingrained property of cloud computing such as location awareness, unrelia

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微尘

Stratified Sampling-Based Data Reduction and Categorization Model for Big Data Mining,neration, the format of data, storing natures, and their management. The common challenges of big data mining are related to the data volume, and data volume is indirectly related to the variety of data and data velocity. The volume-related challenges isolated by the big data analysis strategies are

Lethargic

Product Sentiment Analysis Using Natural Language Understanding,me. Growth of any business depends upon catering to customers’ needs as quickly as possible. The branch of computer science, which helps people to achieve their goals, is known as artificial intelligence and machine learning. This paper proposed one such mechanism to ease out sentiment analysis proc

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Software Cost Estimation for Python Projects Using Genetic Algorithm,development encompasses a software project’s effort and development time. One popular model of software cost estimation is constructive cost model (COCOMO) model, which is a mathematical model proposed by Boehm, used for estimate the software effort and development time. The objective of this paper

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Prediction of Rise in Violence Inclined Opinions: Utility of Sentiment Analysis in the Modern World use to the concerned organizations. Acquiring such knowledge from the analysis of the data available over the Internet has facilitated their decisions whether to improve, modify or reorganize the product. As a prototype, Python Program has been used in this article to understand the operation of se

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