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Bringing It All Together
This chapter summarizes the creation of a virtual private cloud (VPC) which is your small part of a public cloud provider’s platform. It...
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Cloud Certifications
AWS, Azure, and GCP validate knowledge and correct application of their cloud platforms and services. This chapter guides you through the...
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Basic Networking
This chapter focuses on basic networking principles. Initially, it recalls the transition from analog to digital and from voice to data networks. The...
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Comparing AWS, Azure, and GCP
The top three providers that dominate the global cloud market are Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Because of the...
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Well-Architected Framework
This chapter presents guidelines for creating an AWS cloud infrastructure called the Well-Architected Framework (WAF). The WAF provides...
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Intelligent Computing and Applications Proceedings of ICDIC 2020
This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most...
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Wie entsteht Wertschöpfung durch Automatisierungstechnik?
Automatisierungstechnik ist kein Selbstzweck, sondern soll Aufgaben erfüllen und somit einen Zuwachs an Nutzen erzeugen. In diesem Kapitel wird daher...
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Einführung
Dieses Buch betrachtet die Automatisierungstechnik aus der Perspektive der IT und der Software. Es skizziert die wesentlichen Lösungselemente und...
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Was ist Automatisierungstechnik?
Im vorliegenden Kapitel werden die zentralen Begrifflichkeiten, Topologien und Konzepte eingeführt. Dazu wird zunächst der Betrachtungsrahmen...
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Wo wird Automatisierungstechnik eingesetzt und wie sehen Systemtopologien und IT-Architekturen aus?
Dieses Kapitel befasst sich mit dem Einsatz von Automatisierungstechnik in verschiedenen Branchen und systematisiert die typischen Systemtopologien...
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Aspekte zur Einführung in die Praxis
Die Automatisierungstechnik ist stark von technischen Innovationen geprägt und hat es in den letzten Jahrzehnten immer wieder geschafft, sich neu zu...
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The Adaptive Strategies Improving Digital Twin Using the Internet of Things
Digital twins for factories and processes are becoming more prevalent and more valuable as a result of recent technological breakthroughs and the...
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Deep Learning Approach for Pedestrian Detection, Tracking, and Suspicious Activity Recognition in Academic Environment
Pedestrian detection, tracking, and suspicious activity recognition have grown increasingly significant in computer vision applications in recent...
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Multiple Face Recognition System Using OpenFace
The digitalization of human work has been an ever-evolving process. Student’s and employee’s attendance systems are automated by using fingerprint...
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Computer Vision Technique to Detect Accidents
Detecting accident in smart cities is hypothetical task in day-to-day life. It is hard to control by traffic police; the police cannot be available...
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Design of a Deep Network Model for Weed Classification
Deep learning has attained superior performance in various aspects of human life and the agricultural field. The primary target of deep learning for...
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Code-Level Self-adaptive Approach for Building Reusable Software Components
The code-level framework is based on the notion that separate process units it can be well defined along with the broader process of codes, which are...
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Analysis of Disaster Tweets Using Natural Language Processing
Now-a-days social media has become a crucial part of life. Twitter is a social networking site on which people post and interact with messages...
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Enhanced Video Classification System with Convolutional Neural Networks Using Representative Frames as Input Data
Convolutional neural networks are extensively used in video classifications systems, which uses video action recognition data set which consists of...
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Shrimp Surfacing Recognition System in the Pond Using Deep Computer Vision
Shrimp productivity has greatly increased and has high-economical values along with its impact on the GDP of our country. Considering these impact on...