Abstract: In the recent years, the MPEG Layer III (MP3) music compression format has become an extremely popular choice for digital audio compression. Its high compression ratio, and near CD quality sound make it a natural choice for storing and distributing music - especially over the internet, where space and bandwidth are important considerations. For example, using MPEG Layer-3 compression, 40 MBytes audio files have been compressed to approximately 3.5 MBytes. As a result of the MP3 popularity, a variety of portable MP3 players entered the market. We decided to design and implement a Hard Disk based MP3 player similar to products currently available (e.g. Creative Labs Nomad, Archos Jukebox 6000, Apple Ipod, etc.). Our goal was to design the player with minimal cost and to implement a FM Stereo Radio Transmitter module for ease of connectivity. This module resolves the compatibility problems with the current available car audio systems. In the same time system flexibility and scalability as well as system evolution to more advanced architectures were the main principles that drove the development of this platform. The primary enhancement of the platform will be to switch the communication module from a analogical FM radio transmitter to digital wired or wireless communication solutions.

Keywords: mp3 player, radio transmitter, hard disk, HD-based players, level shifting, i2c communication

Abstract: The clustering of biological sequences into biologically meaningful classes denotes two computationally complex challenges: the choice of a biologically pertinent and computable criterion to evaluate the clusters homogenity, and the optimal exploration of the solution space. Here we are analysing the clustering potential of a new method of sequence similarity based on statistical sequence content evaluation. Applying on the same data the popular CLUSTAL W method for sequence similarity we contrasted the results. The analysis, computational efficiency and high accuracy of the results from the new method is encouraging for further development that could make it an appealing alternative to the existent methods.

Keywords: biological sequence, n-grams, entropy, dissimilarity matrix, exploratory data analysis

Abstract: The paper presents some main aspects regarding multi-parametric quadratic programming (mp-QP) problems. Model Predictive Control (MPC) is considered as a particular mp-QP problem, and this powerful tool is applied for control and simulation through a case study. Since the solutions to mp-QP problems can be expressed as piecewise affine linear functions of the state, a new implementation in terms of adaptive networkbased fuzzy inference systems is proposed. The presentation is focused on the double integrator plant as a frequently appearing case study (electrohydraulic servo-system).

Keywords: Multi-parametric quadratic programming, model predictive control, adaptive network-based fuzzy inference systems, Multi-Parametric Toolbox

Abstract: The paper deals with the measurement, identification and compensation of low velocity friction in positioning systems. The introduced algorithms are based on a linearized friction model, which can easily be introduced in tracking control algorithms. The developed friction measurement and compensation methods can be implemented in simple industrial controller architectures, such as microcontrollers. Experimental measurements are provided to show the performances of the proposed control algorithm.

Keywords: tracking control, friction modelling and identification, friction compensation

Abstract: Present work is a part of the ACC autonomous car project. This paper will focus on the control program architecture. To design this architecture we will start from the human driver behavior model. Using this model we have constructed a three level control program. Preliminary results are presented.

Keywords: Control Program, Behavior model, Autonomous car, Mobile robot

Abstract: This paper analyses a large database with hepatitis C virus infected patients. There are made a lot of statistical analyses on the records of this database in order to determine the evolution of biological parameters during the treatment. That’s for what it was also implemented a system which offeres predictions about the same parameters, using artificial neural networks. The results of the statistical analyses and the predictions of the system indicate to the same conclusions. It encourages the use of such a system to facilitate the physicians’ work.

Keywords: hepatitis C virus infection, statistical analysis, artificial neural networks

Abstract: The paper deals with both theoretical and application aspects concerning Iterative Feedback Tuning (IFT) algorithms in the design of a class of fuzzy control systems employing Mamdani-type PI-fuzzy controllers. The presentation is focused on twodegree- of-freedom fuzzy control system structures resulting in one design method. The stability analysis approach based on Popov’s hyperstability theory solves the convergence problems associated to IFT algorithms. The suggested design method is validated by realtime experimental results for a fuzzy controlled nonlinear DC drive-type laboratory equipment.

Keywords: Iterative Feedback Tuning, PI-fuzzy controllers, experiments

Abstract: Complex applications execution needs a lot of conditions starting with hardware and software resources until the task sequencing and verifying the results of the execution. The needed resources can be found locally or on the Web and Grid. For an efficient usage the needed resources application and the effective resources found must be described in an appropriate and way and we propose the XML. The matching between the resources of the application and the Web/Grid resources is done in our proposal by the agents. As a new approach in the last years is the Service Oriented Architecture (SOA) that is developed as an efficient solution. The services are furnished by the providers and these are used by the clients in some specific conditions. The realization of the SOA technology presents a real opportunity to improve effectiveness. On the Web and Grid we dispose for services and these can be used in a given contest. SOA provides the application of well-founded concepts that exploits the ability of modern system resources to collaborate, independent of location across heterogeneous technologies.

Keywords: multi-agent systems, grid, resource management, complex systems design, service oriented architecture.

Abstract: In the component based software engineering approach, a software system is viewed as an assembly of reusable independently developed components. In order to produce automated tools to support the selection and assembly of components, rigorous specifications of components and performant retrieval and selection strategies based on these specifications are needed. Classical approaches for automatically retrieving components that match a set of required properties result mostly in very complex solutions. In this article we propose an efficient fuzzy logic based solution for the specification and retrieval of software components. We describe the basic principles of the proposed solutions and illustrate them on example scenarious.

Keywords: fuzzy logic, fuzzy inferece, software components

Abstract: The paper presents issues regarding the flux estimation of induction machines. The electrical machines variable’s estimation represents a major problem in the actual context of modern control approaches, especially of sensorless control strategies. There are considered several implementations of induction machine’s flux estimators by using the Matlab-Simulink environment and there are drawn the afferent conclusions.

Keywords: flux estimator, observer, induction machines, simulation, Matlab-Simulink environment