Proceedings of Mathsport international 2017 conference

Proceedings of MathSport International 2017 Conference, held in the Botanical Garden of the University of Padua, June 26-28, 2017. MathSport International organizes biennial conferences dedicated to all topics where mathematics and sport meet. Topics include: performance measures, optimization of sports performance, statistics and probability models, mathematical and physical models in sports, competitive strategies, statistics and probability match outcome models, optimal tournament design and scheduling, decision support systems, analysis of rules and adjudication, econometrics in sport, analysis of sporting technologies, financial valuation in sport, e-sports (gaming), betting and sports

Change in Organizations, What Do They Have to Say About It? Machine Learning Testing of an Affective Behavioral Circumplex Model of Reactions to Change

The ability for organizations to effectively systematically change their culture is becoming increasingly necessary. These changes are often implemented through a strategic process to which employee reactions have a great impact on their success. This study tested a new affective behavioral circumplex model of reactions to change. Although that was not fully supported, the data clusters that did emerge held true across samples. Not only did this study test this new model but also used new methods in Machine learning to examine qualitative responses which were found to be accurate and reliable. Furthermore, this study examined how this model is associated with additional contexts through theoretically related survey questions

Vista: March 31, 2011

https://digital.sandiego.edu/vista/1642/thumbnail.jp

Link Scheduling Algorithms For In-Band Full-Duplex Wireless Networks

In the last two decades, wireless networks and their corresponding data traffic have grown significantly. This is because wireless networks have become an indispens- able and critical communication infrastructure in a modern society. An on-going challenge in communication systems is meeting the continuous increase in traffic de- mands. This is driven by the proliferation of electronic devices such as smartphones with a WiFi interface along with their bandwidth intensive applications. Moreover, in the near future, sensor devices that form the Internet of Things (IoTs) ecosystem will also add to future traffic growth. One promising approach to meet growing traffic demands is to equip nodes with an In-band-Full-Duplex (IBFD) radio. This radio thus allows nodes to transmit and receive data concurrently over the same frequency band. Another approach to in- crease network or link capacity is to exploit the benefits of Multiple-Input-Multiple- Output (MIMO) technologies; namely, (i) spatial diversity gain, which improves Signal-to-Noise Ratio (SNR) and thus has a direct impact on the data rate used by nodes, and (ii) spatial multiplexing gain, whereby nodes are able to form concurrent links to neighbors

Unravelling tennis performance:creating monitoring tools to measure and understand technical and tactical skills

The key in elite tennis performance is suggested to be the combination of outstanding technical and tactical skills. However, little is known about which specific skills are important to progress towards elite tennis performance. Moreover, there are no reliable, valid and feasible tools to assess technical and tactical skills in youth tennis players. Therefore, in this thesis, tools with sufficient psychometric properties were developed to measure technical and tactical skills in a tennis-specific context - contributing to both scientific and practical purposes. An on-court tennis test was developed to assess technical skills based on accuracy (target areas), ball speed (radar system) and percentage errors. A new instrument with closed-ended questions was designed to examine tactical skills, in particular ‘Anticipation and positioning’, ‘Game intelligence and adaptability’, ‘Decision-making’, and ‘Recognizing game situations’. Our studies showed that outstanding technical skills, especially accuracy under increased task complexity (i.e. high temporal and cognitive pressure), were considered essential to progress towards elite tennis performance. Findings of this thesis also suggest that these technical skills continue to develop in adolescence in a group of youth talented tennis players. From a practical perspective, the tools created in this thesis are valuable for coaches and players to enhance tennis performance. In addition to monitoring the progress of players, tools can assist in identifying relative strengths and weaknesses of players as well as provide essential information about underlying skills that require most attention to progress towards elite performance