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Modern business goals are often fulfilled with workflows that may cross many organisations and utilise services on a variety of devices and/or supported by different platforms. Current workflows are inherently context-aware. Each context is governed and constrained by its own policies and rules to prevent unauthorised participants from executing sensitive tasks and also to prevent tasks from accessing...
Healthcare organisations using the European Foundation for Quality Management (EFQM) Excellence Model for self-assessment have found an opportunity to work more effectively and a powerful driver for improvement. Nevertheless, when these organisations address self-assessment processes for the first time the initial effort needed presents many difficulties. The aim of this paper is to offer a consensus...
This paper considers the problem of the definition of adaptation strategies at a high level. It presents two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. An experiment in the e-learning domain has been conducted with a group of volunteers...
This paper aims to assess the effectiveness of three different clustering algorithms, used to detect breast cancer recurrent events. The performance of a classical k-means algorithm is compared with a much more sophisticated Self-Organizing Map (SOM-Kohonen network) and a cluster network, closely related to both k-means and SOM. The three clustering algorithms have been applied on a concrete breast...
Optimizing the virtual reality model is a necessity to cope with the nature of the World Wide Web. Virtual reality scenes should load within an acceptable time for the user's experience and the sense of being immersed in the virtual environment is not to be affected. In this study, we propose to optimize web-based virtual reality models by removing redundant objects within the scenes, while keeping...
In this paper we propose a rough classification modeling algorithm based on Ant Colony Optimization (ACO) reduction. We used ACO to compute the rough set reduct and later a modified rules generation method is employed to generate the classification rules. The rules generation algorithm used is the simplification of the Default Rules Generation Framework (DRGF) in order to fit with the ACO reduct....
This paper deals with a support tool for an automation of simulation of Coloured Petri nets and selected simulation experiments conducted with the aid of the tool. The tool is called CPN Assistant, it has been developed at the home institution of the authors and cooperates with the CPN Tools software. It allows to run and manage multiple customized simulations in a network environment. The experiments...
One of the most important features of fuzzy set theory is its potential for the modeling of natural language expressions. Most works done on this topic focus on some parts of natural language, mostly those that correspond to the so-called “evaluating linguistic expressions”. We build constraints for the mathematical substitutes of these expressions to mark characteristic limits on an ordered scale...
In group decision making problems is common the necessity of achieving a consensus before making a decision. Many consensus reaching processes have been introduced in the literature but not many intelligent systems have finally been implemented to deal with such processes. In this contribution an initial prototype of a consensus support system supported on a multi-agent paradigm is presented, showing...
There is still an urgent need of finding a mathematical model which can provide an accurate relationship between the software project effort/cost and the cost drivers. A powerful algorithm which can optimize such a relationship via developing a mathematical relationship between model variables is urgently needed. In this paper, we explore the use of GP to develop a software cost estimation model utilizing...
Composition style is often an important factor in readers' selection of reading materials. For example, a reader may seek out articles written in similar style as his or her favorite writer. We present a new method for providing recommendations based on the composition style. Our algorithm analyzes and encodes the readability index and syntactical structure of a model document, and then searches for...
A novel soft computing system to optimize a dental milling process is proposed. The model is based on the initial application of several statistical and projection methods as Principal Component Analysis and Cooperative Maximum Likelihood Hebbian Learning to analyze the structure of the data set and to identify the most relevant variables. Finally, a supervised neural model and identification techniques...
Thanks to the drastic proliferation of Internet, e-learning has been recognized as an effective media for various kinds of learners. However, the tremendous course materials in the Internet may make learners be confused in choosing their suitable course materials. In this paper, we propose an approach to construct an adaptive curriculum portfolio recommendation system. It offers tailored course materials...
The active magnetic bearing (AMB) presents a solution for all the technical problems of the classical bearing since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show the control efficiency of a magnetic sustention, characterized by its nonlinear model, using neural networks (NN). In this paper a study...
According to some biological observations, generating output variability is one of the characteristics expected from a memory model. In this paper a BAM inspired chaotic model is used to mimic this functionality of the brain. Chaos gives the potential to create deterministic variability and control its degree of uncertainty. Using some time series generated by the trained network, largest lyapunov...
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models can describe the scene accurately, but they come with a high computational requirements, too. Low complex models promote segmentation speed, with the drawback of a less exhaustive description. In this paper we propose an...
Modeling distributed system and modeling intelligent system means that we create a model of a system with corresponding behavior. Multiagent systems are complex systems implementing a platform which is responsible for agent management including inter-agent communication, an agent specification, its behavior, etc. There are many agent platforms that are primarily intended for different applications...
This paper presents a methodology to find optimal solutions for linear programming problems on imprecise conditions. By using α-cuts, the cumulative membership function and the classic fuzzy linear programming model, a fuzzy joint parameters where its left hand side is defined by any kind of fuzzy set and its right hand side is defined by linear fuzzy sets, is solved and its crisp output is found...
This paper describes a concept for the creation of a 3D model of the environment by a mobile robot. This technique is called SLAM-Simultaneous Localization and Mapping. In this case we use stereocamera to find the significant features by the SURF detector. The SURF detector will also serve for the matching of the correspondent points in the both images. These points will then be connected to the triangular...
In cloud computing, computational resources are provided to remote users in the form of leases. For a cloud user, he/she can request multiple cloud services simultaneously. In this case, parallel processing in the cloud system can improve the performance. When applying parallel processing in cloud computing, it is necessary to implement a mechanism to allocate resource and schedule the tasks execution...
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