The proceedings contain 123 papers. The topics discussed include: sell and buy homegrown vegetables and fruits online using e-commerce UML algorithm;laser micromachining of Monel-400 and the investigation on the effec...
ISBN:
(纸本)9798350335835
The proceedings contain 123 papers. The topics discussed include: sell and buy homegrown vegetables and fruits online using e-commerce UML algorithm;laser micromachining of Monel-400 and the investigation on the effect of process parameters on top kerf quality characteristics;a review towards fault-tolerable load balancing in cloud computing;a review of convolutional neural networks, its variants and applications;Parkinson disease identification using hand written images;comment generator for java using deep learning;machine learning framework for analyzing disaster-tweets;autonomous automobile security to defend against de-authentication and key reinstallation attacks in wi-fi networks;and design of landmark identification and path detection model on the basis of air quality index.
Collaborative Assembly is becoming more important each day because of the vast advances that the world is witnessing due to Industry 4.0. This paper presents a model-based control architecture for the ABB IRB120 robot...
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Effective management of water resources is an essential requirement to achieve sustainability of any developing country. With the growth of IoT based sensors and data analytical tools, timely collection of data ofwate...
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ISBN:
(纸本)9783031744426;9783031744433
Effective management of water resources is an essential requirement to achieve sustainability of any developing country. With the growth of IoT based sensors and data analytical tools, timely collection of data ofwater resource (storm water drainage and sewage system), integration with technical solutions for processing and visualization through Data Visualization techniques is possible now. In order to develop a framework to achieve this goal, literature and related studies have been reviewed in this paper. This study provides scope for IOT, data analysis and their integration for a framework to achieve sustainable growth for water resources. After visualization, it will be very helpful to improve the system's operations and infrastructure. The proposed framework will be improved further, based on practicality, cost-benefit and environmental impact.
Recently, space-air-ground integrated network (SAGIN) has garnered considerable interest from both academia and industry due to its broad-coverage and high-reliability features collaborated by low earth orbit (LEO) sa...
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The energy crisis has paved the way for the usage of a variety of alternative energy sources that have a lower environmental impact. Solar and wind energy are two viable alternative energy sources with stochastic beha...
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This paper presents a comprehensive framework for optimal coordination of production, logistics, and maintenance in multi-site stamping plants within the context of Industry 4.0. By integrating key technologies such a...
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The conventional approaches to determining the quality of water include costly and lengthy statistical and laboratory testing;hence, the concept of real-time monitoring is no longer applicable in the modern day. The d...
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In recent years, the strategic focus of the world's maritime military has gradually shifted from deep waters to shallow waters and ports and other waters. Therefore, countries have increased investment in R&D ...
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Cloud computing is a paradigm that enables users to access statistics and programs through the use of a virtualized infrastructure. As such, it could be leveraged to lessen the prices of strolling an allotted system, ...
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The proceedings contain 146 papers. The topics discussed include: trajectory tracking controller design for percutaneous interventional procedures;Bregman divergence based approach for adaptive system identification a...
ISBN:
(纸本)9798350349207
The proceedings contain 146 papers. The topics discussed include: trajectory tracking controller design for percutaneous interventional procedures;Bregman divergence based approach for adaptive system identification and line enhancement;real-time hardware-in-loop testbed for power system analysis;regularized hybrid deep learning for DDoS attack prediction in software defined Internet of Things (SD-IoT);investigation of core loss in electric vehicle induction motor using finite element analysis for performance enhancement;fault-tolerant strategy for asymmetrical half-bridge converter in switched reluctance motor drives;protection coordination impact on reliability of distribution systems with distributed energy resources;and design and control of shunt active power filter for power quality improvements with PV array.
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