Adrian Graur

Towards an inclusive Parkinson's screening system

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinsons disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinsons disease and establishing appropriate rules for its clinical following up.

Diagnosis of complex systems using ant colony decision Petri nets

Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic solution to solve DESs diagnosis is a stochastic Petri nets. Unfortunately, the solution of a stochastic Petri net is severely restricted by the size of its underlying Markov chain. On the other hand, it has been shown that foraging behavior of ant colonies can give rise to the shortest path, which will reduce the state explosion of stochastic Petri net. Therefore, a new model of stochastic Petri net, based on foraging behavior of real ant colonies is introduced in this paper. This model can contribute to the diagnosis, the performance analysis and design of supervisory control systems.

NeuroParkinScreen -A Health Care System for Neurological Disorders Screening and Rehabilitation

Parkinsons disease is the most common degenerative movement disorder and a progressive nervous system disorder that affects body movement, memory, speaking and daily mental and physical activities. In Romania are over 75.000 Parkinson patients and the government spends over 1.5 million USD with them. Nowadays, there is no screening test for early detection of Parkinsons disease. In this paper is presented a noninvasive low cost health care system for Neurological Disorders Screening and Rehabilitation that can be used by doctors and patients, and also for research purposes. The system can assist the doctors/medical experts in monitoring, screening and rehabilitation of patients with Parkinsons disease or other Neurological Disorders, leading to an early and efficient diagnosis. From a technical point of view, the system uses the latest and most appropriate methods for medical signals acquisition and processing.

The influence of different materials in 13.56 RFID system

In this paper we describe some tests for a 13.56 MHz RFID system. These tests were makes in the laboratory. Through these tests we study the performance of 13.56 MHz RFID system in different work conditions.

Quasi-stationary and Transient Regime of Induction Machine Supplied by Two Stator Frequencies

The paper analyzes the behavior of an induction machine having the stator winding fed with two voltages of different frequencies. Usually, this particular operation is exploited in prac ...

FEM Analysis of Brushless DC Servomotor with Fractional Number of Slots per Pole

The authors present in this paper the analysis with Finite Element Method (FEM) of the magnetic circuit for a Brushless DC servomotor with fractional number of slots/pole (9 slots and ...

Mechanical-electrical Optoisolator Transducers

Mechanical-electrical Optoisolator Transducers are Polaroid optocouplers whose main function is to convert a rotational and/or a translation movement into electrical signal. These devices combine transducers feature to connect two physical systems operating with signals of different nature, with optocouplers feature of galvanic separation of two different voltage modules. This is achieved by introducing a mechanically controlled system of Polaroid filters on the light beam path performing the optical coupling. These transducers are generally suitable for automation and mecatronics applications.

Enhancing the Flexibility of Manufacturing Systems Using the RFID Technology

The introduction of RFID technology in the manufacturing environment provides the basis for implementing much more agile systems by providing continuous, real-time information relating to the movement of physical items. The components traceability, enabled by RFID technology, may be used to increase the degree of automation of the system calibration process at the shop floor level. An interesting aspect relating to the calibration process of a complex reconfigurable system is how to automatically determine the production facility’s positions and the optimum routes between them, especially when the system is consisting of a big number of production facilities, routes and switches. This paper proposes an RFID-based method to automatically determine the positions of the production facilities involved in the manufacturing process, placed along conveyor belts. The information acquired in the discovering process will allow the optimal leading of raw materials towards the production facilities to be processed.

Petri Net Based Diagnosis for Construction Design

1 Abstract— In this paper we propose a Petri net within a diagnosis system for construction design. We assimilate the construction process with an assembly process that composes parts and/or subassemblies into a unique product. We assume that the assembly supervisor (AS) system is distributed, and it solves several local AS attached to the nodes of the Petri net model of the assembly process. The research issues that we address in this work include the modeling of assembly process, determination of cost-effective assembly planes for efficient building, and real time adoption of a plan to a given product to be assembled. This work extends the known assembly Petri nets to a powerful framework enabling to derive the diagnosis of assembly process whose path may vary, and the objective function is maximized. The presented approach can be used to evaluate transient and steady-state performances of alternative design based on a construction example. Possible extensions of the work are also discussed.

Harmonic Analysis Based on Discrete Wavelet Transform in Electric Power Systems

Power Quality (PQ) evaluation for electric power system waveforms is realised using the harmonic analysis. The definitions of power-quality indices (PQIs) contained in the standards are based on the Fast Fourier Transform, which provides only an amplitude-frequency spectrum loosing time-related information. This paper proposes the reformulation of the PQIs definitions using Discrete Wavelet Transform (DWT) that preserves all information on time and frequency and reduces the problem of spectral leakages. The results obtained in the numerical example considering stationary and balanced single-phase system in sinusoidal situations indicate that the differences between DWT-based PQIs and the true values are very small. PQIs definitions were tested in the case of single-phase systems on waveforms captured using data acquisition system with Hall voltage and current transducers. To relieve the utility of this method the definitions were also extended to the unbalanced three-phase systems in the sinusoidal situation.