Описание: The expansion of the digital age continues to bring new mobile devices, technologies and methods that are introduced every day. Though commonly used, the technologies of these devices remain unfamiliar to users due to the complicated and fast-evolving disciplines.<br><br><em>Mobile and Handheld Computing Solutions for Organizations and End-Users</em> discusses a broad range of topics in order to advance handheld knowledge and apply the proposed methods to real-world issues for organisations and end users. This book brings together researchers and practitioners involved with mobile and handheld computing solutions useful for IT students, researchers, and scholars.
Chapter 1. Traffic Accident Prediction Model Using Support Vector Machines with Gaussian Kernel.- Chapter 2. A Brief Overview on Least Square Spectral Analysis and Power Spectrum.- Chapter 3. ASCCS: Architecture for Secure Communication Using Cloud Services.- Chapter 4. Multi-Objective Optimization Based Design of Robust Fractional Order PIλDμ Controller for Coupled Tank Systems.- Chapter 5. Using Least Square Spectral Analysis Method for Time Series with Datum Shifts.- Chapter 6. Application of Differential Evolution for Maximizing the Load Ability Limit of Transmission System During Contingency.- Chapter 7. Common Fixed Point Theorem for Occasionally Weakly Compatible Mappings in Fuzzy Metric Spaces.- Chapter 8. Privacy Preservation in Utility Mining Based on Genetic Algorithm: A New Approach.- Chapter 9. Reliability Evaluation of Software System Using AHP & Fuzzy TOPSIS Approach.- Chapter 10. Information Security and Its Insurance in the World of High Rise of Cybercrime through a Model.- Chapter 11. A Systematic Study on Mitigating Parameter Variation in MOSFETs.- Chapter 12. Vendor - Supplier Cooperative Inventory Model with two Warehouse and Variable Demand Rate under the Environment of Volume Agility.- Chapter 13. Invariant Feature Extraction for Finger Vein Matching Using Fuzzy Logic Inference.- Chapter 14. Fuzzy Reasoning Approach (FRA) for Assessment of Workers Safety in Manganese Mines.- Chapter 15. Multiple-input Multiple-output Paper Machine System Control Using Fuzzy-PID Tuned Controller.- Chapter 16. Common Fixed Point Results in GB Metric Space and Generalized Fuzzy Metric Space using E.A. Property and Altering Distance Function.- Chapter 17. Design Optimization of Sewer System Using Particle Swarm Optimization.- Chapter 18. Optimal Tuning of PID Controller for Centrifugal Temperature Control System in Sugar Industry Using Genetic Algorithm.- Chapter 19. Fault Diagnosis of ZSI Fed 3-phase Induction Motor Drive System Using MATLAB.- Chapter 20. OpenMP Genetic Algorithm for Continuous Non-linear Large Scale Optimization Problems.- Chapter 21. Combined SCP and Geometric Reconstruction of Spine from Bi-planar Radiographs.- Chapter 22. Analysis of Network IO Performance in Hadoop Cluster Environments Based on Docker Containers.- Chapter 23. Hough Transform Based Feature Extraction for the Classification of Mammogram Using Back Propagation Neural Network.- Chapter 24. Ant Colony System Based E-supermarket Website Link Structure Optimization.- Chapter 25. An Aggregation Based Approach with Pareto Ranking in Multi-objective Genetic Algorithm.- Chapter 26. Weighted CoHOG (W-CoHOG) Feature Extraction for Human Detection.- Chapter 27. Municipal Solid Waste Generation Forecasting for Faridabad City located in Haryana State, India.- Chapter 28. Secondary Network Throughput Analysis Applying SFR in OFDMA-CR Networks.- Chapter 29. Unsupervised Change Detection in Remote Sensing Images Using CDI and GIFP-FCM Clustering.- Chapter 30. Performance Comparison between InP-ON and SON MOSFET at Different Nanotechnology Nodes Using 2-D Numerical Device Simulation.- Chapter 31. Discrete-time Eco-epidemiological Model with Disease in Prey and Holling-Type III Functional Response.- Chapter 32. A Novel Crossover Operator Designed to Exploit Synergies of Two Crossover Operators for Real Coded Genetic Algorithms.- Chapter 33. Classification Techniques for Texture Images Using Neuroph Studio.- Chapter 34. Optimization of Feature Selection in Face Recognition System Using Differential Evolution and Genetic Algorithm.- Chapter 35. Human Opinion Dynamics for Software Cost Estimation.- Chapter 36. A Comparative Study of Various Meta-heuristic Algo
Автор: Al-Turjman Fadi Название: Edge Computing: From Hype to Reality ISBN: 3319990608 ISBN-13(EAN): 9783319990606 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, contributors provide insights into the latest developments of Edge Computing/Mobile Edge Computing, specifically in terms of communication protocols and related applications and architectures. The book provides help to Edge service providers, Edge service consumers, and Edge service developers interested in getting the latest knowledge in the area. The book includes relevant Edge Computing topics such as applications; architecture; services; inter-operability; data analytics; deployment and service; resource management; simulation and modeling; and security and privacy. Targeted readers include those from varying disciplines who are interested in designing and deploying Edge Computing.Features the latest research related to Edge Computing, from a variety of perspectives;Tackles Edge Computing in academia and industry, featuring a variety of new and innovative operational ideas;Provides a strong foundation for researchers to advance further in the Edge Computing domain.
Описание: This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.
Автор: Egon Krause; Yurii I. Shokin; Nina Shokina Название: Computational Science and High Performance Computing ISBN: 3642438105 ISBN-13(EAN): 9783642438103 Издательство: Springer Рейтинг: Цена: 47377.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information and telecommunication systems for emergency management.- High Performance Computing in Engineering and Science.- Completely splitting method for the Navier-Stokes problem.- Methods of shock wave calculation.- Distributed and collaborative visualization of simulation results.- Safety problems of technical objects.- Direct numerical simulations of shock-boundary layer interaction at Ma = 6.- Mathematical models of filtration combustion and their applications.- Computer simulation at VNIIEF.- Mathematical modeling of optical communication lines with dispersion management.- Method of particles for incompressible flows with free surface.- Direct and inverse problems in the mechanics of composite plates and shells.- Numerical simulation of plasma-chemical reactors.- The application of smoothed particle hydrodynamics for the simulation of diesel injection.- Some features of modern computational mathematics: problems and new generation of algorithms.- Effcient flow simulation on high performance computers.- Simulation of problems with free surfaces by a boundary element method.- Simulation and optimisation for hydro power.- The analysis of behaviour of multilayered conic shells on the basis of nonclassical models.- Simulation of the motion and heating of an irregular plasma.- Numerics and simulations for convection dominated problems.- Modified Finite Volume Method for Calculation of Oceanic Waves on Unstructured Grids.- Performance aspects on high performance computers - from microprocessors to highly parallel smp systems.
Автор: Egon Krause; Yurii I. Shokin; Nina Shokina Название: Computational Science and High Performance Computing ISBN: 3540241205 ISBN-13(EAN): 9783540241201 Издательство: Springer Рейтинг: Цена: 47377.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Proceedings of the Russian-German Advanced Research Workshop on Computational Science and High Performance Computing in Novosibirsk Academgorodok ... organized by the Institute of Computational Technologies SB RAS (Novosibirsk, Russia) and the High Performance Computing Center Stuttgart (Stuttgart, Germany)"--Pref.
Описание: Many professionals in the technology industry are seeking new solutions beyond the confines of the more traditional type software tools, network design solutions and distributed systems applications.
Автор: Tiwari Rajeev, Mittal Mamta, Goyal Lalit Mohan Название: Energy Conservation Solutions for Fog-Edge Computing Paradigms ISBN: 9811634505 ISBN-13(EAN): 9789811634505 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
Автор: Rajkumar Buyya, Satish Narayana Srirama Название: Fog and Edge Computing: Principles and Paradigms ISBN: 1119524989 ISBN-13(EAN): 9781119524984 Издательство: Wiley Рейтинг: Цена: 17258.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive guide to Fog and Edge applications, architectures, and technologies
Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.
Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.
Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource:
Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing
Examines methods to optimize virtualized, pooled, and shared resources
Identifies potential technical challenges and offers suggestions for possible solutions
Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management
Includes access to a website portal for advanced online resources
Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.
Chapter 1. Optimization of Non Local Means Filtering Technique for Denoising Magnetic Resonance Images: A Review.- Chapter 2. A Production Model with Stock Dependent Demand, Partial Backlogging, Weibull Distribution Deterioration and Customer Returns.- Chapter 3. Chemo-inspired Genetic Algorithm and Application to Model Order Reduction Problem.- Chapter 4. Grammatical Evolution Using Fireworks Algorithm.- Chapter 5. Gaussian Function Based Particle Swarm Optimization.- Chapter 6. Reinforcing Particle System Effects Using Object Oriented Approach and Real Time Fluid Dynamics for Next Generation 3D Gaming.- Chapter 7. Searchless Fractal Image Compression Using Fast DCT and Real DCT.- Chapter 8. Study of Neighborhood Search Based Fractal Image Encoding.- Chapter 9. An Optimized Color Image Watermarking Technique Using Differential Evolution and SVD-DWT Domain.- Chapter 10. One Day Ahead Forecast of Pan Evaporation at Pali Using Genetic Programming.- Chapter 11. Optimized Scenario of Temperature Forecasting Using SOA and Soft Computing Techniques.- Chapter 12. Software Reliability Prediction Using Machine Learning Techniques.- Chapter 13. A Genetic Algorithm Based Scheduling Algorithm for Grid Computing Environments.- Chapter 14. Effect of Imperfect Debugging on Prediction of Remaining Faults in Software.- Chapter 15. Multiple Document Summarization Using Text Based Keyword Extraction.- Chapter 16. Implementation of the Principle of Jamming for Hulk Gripper Remotely Controlled by Raspberry Pi.- Chapter 17. Differential Evolution: An Overview.- Chapter 18. Multi-objective Parametric Query Optimization for Distributed Database Systems.- Chapter 19. Energy Efficient Routing Protocol for MANET Using Vague Set.- Chapter 20. Data Storage Security in Cloud Paradigm.- Chapter 21. Axisymmetric Vibrations of Variable Thickness Functionally Graded Clamped Circular Plate.- Chapter 22. Performance Evaluation of Geometric Based Hybrid Approach for Facial Feature Localization.- Chapter 23. Optimal Land Allocation in Agricultural Production Planning Using Fuzzy Goal Programming.- Chapter 24. Quantitative Estimation for Impact of Genomic Features Responsible for 5' and 3' UTR Formation in Human Genome.- Chapter 25. Comparison of Multilayer Perceptron (MLP) and Support Vector Machine (SVM) in Predicting Green Pellet Characteristics of Manganese Concentrate.- Chapter 26. Audio Pattern Recognition and Mood Detection System.- Chapter 27. SUMDOC: A Unified Approach for Automatic Text Summarization.- Chapter 28. Improvising and Optimizing Resource Utilization in Big Data Processing.- Chapter 29. Region Based Prediction and Quality Measurements for Medical Image Compression.- Chapter 30. Recent Advancements of Energy Efficient Routing in Wireless Sensor Networks: A Survey.- Chapter 31. A Novel Approach for Market Prediction Using Differential Evolution & Genetic Algorithm.- Chapter 32. A Novel Approach for Actuation of Robotic Arm using EEG and Video Processing.- Chapter 33. A Survey: Artificial Neural Network for Character Recognition.- Chapter 34. Crosstalk Noise Voltage Analysis in Global Interconnects.- Chapter 35. A Comparative Analysis of Copper and Carbon NanoTubes Based Global Interconnects in 32nm Technology.- Chapter 36. Comparative Analysis of Si-MOSFET and CNFET Based 28T Full Adder.- Chapter 37. Cuckoo Search Based Scale Value Optimization for Enhancement in Retinal Image Registration.- Chapter 38. Optimal Demand Side Bidding Using Evolutionary Algorithm in Deregulated Environment.- Chapter 39. Optimized Point Robot Path Planning in Cluttered Environment Using GA.- Chapter 40. ITMS (Intelligent Traffic Management System).- Chapter 41.
Описание: This two-volume book gathers the proceedings of the Sixth International Conference on Soft Computing for Problem Solving (SocProS 2016), offering a collection of research papers presented during the conference at Thapar University, Patiala, India.
Автор: Jie Cao; Quan Zhang; Weisong Shi Название: Edge Computing: A Primer ISBN: 3030020827 ISBN-13(EAN): 9783030020828 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Поставка под заказ.
Описание: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained.
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