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This paper studies behavioral economics of sports lottery product considering three kinds of conditions including single item of reward, multi-item of reward with equal number and multi-item of reward with increasing number based on cumulative prospect theory. The study indicates that the price for sports lottery increases and the total funds raised increases as the items increasing, and the pricing...
This article contributes to solve time optimal path planning of robot applied remote real-time snooker match. According to characteristics of this problem, difficulties and key points, a new method is proposed in this paper for near minimum-time path planning of this problem which converts actual model 1 based on the problem into abstract model 2. And then Matlab program is written to calculate solution...
Scheduling for modern professional sports leagues has drawn considerable attention in recent years in that their practical applications involve significant revenues and generate challenging combinatorial optimization problems. The Traveling Tournament Problem is a sports scheduling problem that abstracts the important issues in creating time tables: feasibility and team travel, where the objective...
As mobile game grows rapidly in recent years, it becomes one of the new economic contributors to the game market. However the low-powered mobile device is the main barrier for the quick development of mobile game. Through mobile billiards game on the e868 mobile phone of the Bird-company, a game development framework for low performance mobile device is designed in this paper. To improve both the...
Inspired from the competition of sport teams in a sport league, an algorithm is presented for solving constrained optimization problems. A number of individuals (solutions) as sport teams compete in an artificial league for several weeks (iterations). Based on the league schedule in each week, teams play in pairs and their game outcome is determined in terms of win or loss, given known the playing...
This paper studies the aggregation and diffusion of technology development in the large-scale sports events and analyzes the great aggregation and diffusion effects of the aggregation-diffusion conduction of technology value; it demonstrates the basic path of the conduction and builds the aggregation-diffusion model based on the conduction in the large-scale sports events; it illustrates the intrinsic...
This paper presents an automation system that seeks the best seat height of a road racer against rider's physical properties. Conventional positioning method is depending on the feelings of riding even professional cyclists because it is difficult to evaluate bicycle position considering the rider's physical properties. Then this paper firstly defined the evaluation criteria based on rider's electromyography...
Since baseball has been a big business, a scouting system becomes important for baseball teams to compose an appropriate batting order. The scouting system is required to examine a batter not only individually but also from aggregative point of view, to acquire batters who match for each lineup position. However, there are few statistical analyses into this issue so far, in spite of a long history...
Inspired by the competition of sport teams in a sport league, an algorithm is presented for optimizing nonlinear continuous functions. A number of individuals as sport teams compete in an artificial league for several weeks (iterations). Based on the league schedule in each week, teams play in pairs and the outcome is determined in terms of win or loss, given known the team's playing strength (fitness...
By adopting game theory, This paper is on the study and optimization of "Furubotn-Wiggins model", finding out and making up for its inherent flaws, so as to draw the conclusion that Sports business bankruptcy can be avoided by the strengthened information communication in sports business. And this paper also puts forward concrete institutional arrangements measures on the resolution of the...
Due to fast growth of video camera market, referring videos in sports training has been used as one of the most effective methods for improving their performance because athletes or coaches can analyze their performance objectively. Adopting the advices from coaches, athletes can correct their wrong habits in their performance instantly. Although the videos from multiple cameras in multiple angles...
Latency is a frequently cited shortcoming of virtual reality (VR) applications. To compensate for excessive latency, prediction mechanisms may use sophisticated mathematical algorithms, which may not be appropriate for complex virtual teaching applications. This paper suggests that heuristic prediction algorithms could be used to develop more effective and general systems for VR educational applications...
In this article we propose an optimization method for encoding low resolution soccer video sequences. The considered video codec is the state of the art H.264/AVC, as recommended by the 3GPP specifications. The proposed optimization aims at maximizing the user perceived quality, considering the characteristic features of soccer videos. In the typical wide angle shots, about one fourth of each frame...
Determining the optimal exercise intensity is a crucial factor to increase performance in professional cycling. Novel sensor technologies allow to optimize the training not only for an individual cyclist but also for an entire training group. A sensor-based assisted bicycle trainer (ABT) system with a control algorithm has been developed at the University of Kaiserslautern to optimize the group training...
Generating free-viewpoint video in outdoor sports environments is currently an unsolved problem due to difficulties in obtaining accurate background segmentation and camera calibration. This paper introduces a technique for the reconstruction of a scene in the presence of these errors. We tackle the issues of reconstruction completeness, and accuracy of surface shape and appearance. We introduce the...
This paper presents a hybrid metaheuristic ACO-GA for the problem of sports competition scheduling (SCS). ACO-GA combines ant colony optimization (ACO) and genetic algorithms (GA). The procedures of ACO-GA are as follows. First, GA searches the solution space and generates activity lists to provide the initial population for ACO. Next, ACO is executed, when ACO terminates, the crossover and mutation...
We provide an overview of two closely related testbeds, a development testbed located in the CWSA wireless lab and the unique eStadium testbed located in Purdue's Ross-Ade Football Stadium. In the development testbed we have studied such high-bandwidth, delay-sensitive applications as on-demand streaming of video clips to a large number of wireless clients. This includes optimizing video streaming...
This paper presents a method to combine unreliable player tracks from multiple cameras to obtain a unique track for each player. A recursive graph optimisation algorithm is introduced to evaluate the best association between player tracks.
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