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This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management. This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.
Big data. --- Data structures (Computer scienc. --- Information systems. --- Big Data. --- Data Structures. --- Computer Appl. in Administrative Data Processing. --- Data sets, Large --- Large data sets --- Data sets --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science)
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"The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of machine learning. There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis"--
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For fans of the successful Who Was series, From an Idea to Lego is a behind-the-bricks look into the world's famous toy company, with humorous black & white illustrations throughout.
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A comprehensive look at the letters, documents and contemporary accounts of the Mary Rose - both in her prime and after she was lost.
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Commercial advanced planning and scheduling (APS) systems have been around for about 25 years and have seen widespread adoption in a variety of companies. The promises made by APS system implementations are high, and at the same time, APS projects are complex, costly, and carry a significant risk of failure. There is a great need for guidance on how to successfully implement APS systems, which is why this book was written. In this book, we aim to discuss all facets of APS implementation, from theoretical background to definition, vendor selection, system design and the implementation process. In addition, this book helps readers understand how the underlying concepts were formed, why a concept will work in practice, and when it will not. The contents of this book are based on many years of academic research and APS implementation experience. It draws together theory and practice in production control and explains how theories can be applied to support planning and scheduling processes in practice. This book will help anyone involved in APS implementations to achieve success: human planners generate better plans than before, using the APS.
Business. --- Business logistics. --- Engineering economics. --- Engineering economy. --- Business and Management. --- Logistics. --- Operations Research/Decision Theory. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Supply chain management --- Industrial management --- Logistics --- Trade --- Economics --- Management --- Commerce --- Production planning. --- Enterprise resource planning. --- Enterprise resource planning systems --- ERP (Enterprise resource planning) --- ERPs (Enterprise resource planning) --- Management information systems --- Manufacturing planning --- Process planning --- Planning --- Production engineering --- Operations research. --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Decision making. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making
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This proceedings constitutes the post-conference proceedings of the 3rd EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022, held at Vishnu Institute of Technology, Bhimavaram in Andhra Pradesh, India, in November 26-27, 2022. The theme of IC4S 2022 was: cognitive computing approaches with data mining and machine learning techniques. The 22 full papers were carefully reviewed and selected from 88 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and networking; image processing; IoT applications; smart city eco-system and communications.
Computer Networks. --- Artificial intelligence. --- Application software. --- Computer systems. --- Computers, Special purpose. --- Artificial Intelligence. --- Computer and Information Systems Applications. --- Computer System Implementation. --- Special Purpose and Application-Based Systems. --- Special purpose computers --- Computers --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Information networks --- Telecommunication --- Network computers --- Distributed processing --- Cooperating objects (Computer systems) --- Soft computing. --- Cognitive computing --- Computational intelligence
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