A soccer game can be seen as a confrontation between two teams of agents where each player, communicating with his teammates, try to interpret in the best way as possible the game situations, achieving its main goals....
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A soccer game can be seen as a confrontation between two teams of agents where each player, communicating with his teammates, try to interpret in the best way as possible the game situations, achieving its main goals. Today the most important factors in a soccer clubs life and in its coach success are the game results they achieve. They represent the success of the club and in many cases the coachs future. Because of that club coaches usually use automated tools to measure their teams performance all over a soccer competition. Based only in Cartesian coordinates and in a sequential time frame analysis, this research work presents an automatic tool capable to calculate many technical aspects in a soccer match. For the validation tool process, games of simulation 2d RoboCup international competition were used. The results achieved were quite satisfactory. In what concerns to the set of statistics collected more than 92% of the total events were detected and only for the shot event this number dropped to between 74% and 85%. The future work will be concerned in incorporating this project with a real time tracking system and increasing the number of technical aspects calculated by the system.
This paper proposes a method which gives symbolic model of the interconnected linear system using the adjacency matrix which represent the system. When there exist any algebraic loops in the system, they are reduced t...
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This paper proposes a method which gives symbolic model of the interconnected linear system using the adjacency matrix which represent the system. When there exist any algebraic loops in the system, they are reduced to the self loops by the edge contraction. If the weight matrix of the self loop is nonsingular, it is removed and the symbolic state space model is obtained, otherwise the symbolic descriptor model is obtained. We introduce a new interactive graphical software tool which have been developed for modeling and simulation of control systems using the proposed method.
The performance of three different Entity-Attribute-Value (EAV) storage formats for Clinical Data Repositories (CDRs) is compared with regards to querying millions of data points from clinical sources to assess the am...
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Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identi...
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Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.
The human brain possesses a highly structured surface. A quantitative examination of the cortical surface is of particular interest for many questions, e.g. the investigation the relation between the spatial frequenci...
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This paper describes how, in large-scale multi-agent systems, each agent's adaptive selection of peer agents for collaborative tasks affects the overall performance and how this performance varies with the workloa...
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One of the main recent achievements in engineering is description of complex products and their physical environment in a single object model. This model has capabilities to serve engineering from the first specificat...
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One of the main recent achievements in engineering is description of complex products and their physical environment in a single object model. This model has capabilities to serve engineering from the first specification of a product to recycling. New research programs were needed in order to establish a new style of engineering where engineers communicate model creation and application procedures. The authors joined to these efforts and developed new modeling methods for the above purpose. In this paper they introduce some of these methods considering needs by the complex and knowledge intensive engineering for robot systems. Paper starts with an outline of application of virtual spaces in robot system modeling. Following this, a content based contextual object definition is explained considering robotic application. Next, application of human control by contextual spaces for adaptive definition of engineering objects and the related control of product definition are shown. Finally, object space for robot system is outlined as application related issue of the proposed modeling.
Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although...
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Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, and modifying process designs.
A wide variety of programming abstractions have been developed for cyber-physical systems. These approaches provide support for the composition of cyber-physical systems from generic units of application functionality...
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A wide variety of programming abstractions have been developed for cyber-physical systems. These approaches provide support for the composition of cyber-physical systems from generic units of application functionality. This paper surveys the current state-of-the-art in composition mechanisms for cyber physical systems and reviews each approach in terms of its support for composition analysis, re-use and adaptation. We then review approaches for modeling and verifying cyber-physical application compositions and conclude by proposing promising research directions that will address these shortcomings.
Considering emerging demands for auction based efficient resource allocations, the ability to complete an auction within a fine-grained time period without loss of allocation efficiency is in strong demand. Recently, ...
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