Computational Metrics for Soccer Analysis Connecting the dots

Engineering Technology

Yunfei Xu, “Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time”
Fondamenti di robotica: Coedizione Zanichelli – in riga (in riga ingegneria Vol. 82) by Paolo Guidi
Internet Video Data Streaming: Energy-saving and Cost-aware Methods By Ye Tian, Min Zhao, Xinming Zhang
Computational Metrics for Soccer Analysis: Connecting the dots By Filipe Manuel Clemente
Kuinam J. Kim, “Mobile and Wireless Technologies 2017: ICMWT 2017”

Yunfei Xu, “Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time”

English | ISBN: 3319219200 | 2015 | 128 pages | PDF | 6 MB

This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various sources of uncertainties to be integrated into an inferential framework effectively capturing all aspects of variability involved. The fully Bayesian approach also allows the most appropriate values for additional model parameters to be selected automatically by data, and the optimal inference and prediction for the underlying scalar field to be achieved. In particular, spatio-temporal Gaussian process regression is formulated for robotic sensors to fuse multifactorial effects of observations, measurement noise, and prior distributions for obtaining the predictive distribution of a scalar environmental field of interest. New techniques are introduced to avoid computationally prohibitive Markov chain Monte Carlo methods for resource-constrained mobile sensors. Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks starts with a simple spatio-temporal model and increases the level of model flexibility and uncertainty step by step, simultaneously solving increasingly complicated problems and coping with increasing complexity, until it ends with fully Bayesian approaches that take into account a broad spectrum of uncertainties in observations, model parameters, and constraints in mobile sensor networks. The book is timely, being very useful for many researchers in control, robotics, computer science and statistics trying to tackle a variety of tasks such as environmental monitoring and adaptive sampling, surveillance, exploration, and plume tracking which are of increasing currency. Problems are solved creatively by seamless combination of theories and concepts from Bayesian statistics, mobile sensor networks, optimal experiment design, and distributed computation.

Fondamenti di robotica: Coedizione Zanichelli – in riga (in riga ingegneria Vol. 82) by Paolo Guidi

Italian | 22 Oct. 2017 | ASIN: B076PH5TD1 | 26 Pages | PDF | 1.15 MB

1. CONCETTI GENERALI – 1.1. Robot – 1.2. Robotica – 1.3. Applicazioni – 1.4. Robotica industriale • 2. SISTEMA MECCANICO – 2.1. Anatomia – 2.2. Meccanica dei robot – 2.3. Requisiti strutturali – 2.4. Manipolatori – 2.5. Robot mobili – 2.6. Studio del modello • 3. SISTEMA DI ATTUAZIONE – 3.1. Trasformazioni energetiche – 3.2. Tipi di azionamento – 3.3. Componenti • 4. SISTEMA SENSORIALE – 4.1. Funzioni tipiche – 4.2. Impiego dei sensori – 4.3. Sistemi di visione • 5. SISTEMA DI CONTROLLO – 5.1. Caratteristiche – 5.2. Struttura – 5.3. Tecniche di controllo – 5.4. Sicurezza • 6. PROGRAMMAZIONE – 6.1. Ambiente – 6.2. Criteri – 6.3. Tecniche – 6.4. Linguaggi • 7. ROBOT LEGO – 7.1. Concetti introduttivi – 7.2. Programmazione – 7.3. Esempio applicativo.
(Tratto dal Capitolo 79 del Manuale Cremonese di Meccanica, 26 pp.)

Internet Video Data Streaming: Energy-saving and Cost-aware Methods By Ye Tian, Min Zhao, Xinming Zhang

English | PDF,EPUB | 2017 | 67 Pages | ISBN : 9811065225 | 3.74 MB

This book investigates the problem of reducing operating cost for a video streaming content delivery network (CDN), including both the CDN’s energy and traffic costs. It first introduces the key issues and design choices of representative real-world CDNs, and discusses the energy saving techniques for data centers and CDNs.
Then, based on a measurement study on a large video streaming CDN, it reveals an inherent conflict between improving a video streaming CDN’s energy efficiency for energy saving, and maintaining the CDN’s ISP-friendly server selection policy. Further, it discusses a cost-aware capacity provisioning algorithm that not only allows the service capacity of a CDN’s server clusters in numerous ISPs to be dynamically planned, but also means that the overall operating cost, including both the energy consumptions and the cross-ISP traffics, can be further optimized. In addition it uses the workload derived from real-world measurement and also implements real values of the actual power and bandwidth prices to evaluate the capacity provisioning algorithm, showing that it can significantly reduce the overall operating cost of a video streaming CDN, and effectively avoid frequent server switches. Lastly, the book outlines a number of potential research directions regarding cost-aware content delivery. The measurement, analysis, and optimization methodologies and results presented in this book are of particular interest to researchers in the Internet and networking area.

Computational Metrics for Soccer Analysis: Connecting the dots By Filipe Manuel Clemente

English | PDF,EPUB | 2017 (2018 Edition) | 89 Pages | ISBN : 3319590286 | 4.05 MB

This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports.
These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python.
The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.

Kuinam J. Kim, “Mobile and Wireless Technologies 2017: ICMWT 2017”

English | 10 July 2017 | ISBN: 9811052808 | 676 Pages | EPUB | 11 MB

This book gathers the proceedings of the 4th International Conference on Mobile and Wireless Technology (ICMWT), held in Kuala Lumpur, Malaysia in June 2017, an event that provides researchers and practitioners from both academia and industry with a platform to keep them abreast of cutting-edge developments in the field.
The peer-reviewed and accepted papers presented here address topics in a number of major areas: Mobile, Wireless Networks and Applications; Security in Mobile and Wireless; Mobile Data Management and Applications; Mobile Software; Multimedia Communications; Wireless Communications; and Services, Application and Business.