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Federated Conference on computer Science and Information Systems (FedCSIS)

作者： Cristian Rotariu Vasile Manta Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

This paper describes the realization of a wireless oxygen saturation and heart rate system for patient monitoring in a limited area. The proposed system will allow the automatic remote monitoring in hospitals, at home, at work, in real time, of persons with chronic illness, of elderly people, and of those having high medical risk. The system can be used for long-time continuous patient monitoring, as medical assistance of a chronic condition, as part of a diagnostic procedure, or recovery from an acute event. The blood oxygen saturation level (SpO 2 ) and heart rate (HR) are continuously measured using commercially available pulse oximeters and then transferred to a central monitoring station via a wireless sensor network (WSN). The central monitoring station runs a patient monitor application that receives the SpO 2 and HR from WSN, processes these values and activates the alarms when the results exceed the preset limits. A user-friendly Graphical User Interface was developed for the patient monitor application to display the received measurements from all monitored patients. A prototype of the system has been developed, implemented and tested.

关键词： Heart rate Monitoring Wireless sensor networks Wireless communication Biomedical monitoring Sensors Graphical user interfaces

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Solenoid-operated valve control under adverse mechanical conditions such as vibrations or shocks

Solenoid-operated valve control under adverse mechanical con...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Alexandru Bârleanu Vadim Băitoiu Andrei Stan Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

This paper describes a method for controlling a solenoid-operated valve (SOV) so that it can detect mechanical vibrations or shocks (accelerations, in general). This feature can be an important safety measure since SOVs are often used in complex systems that contain, for example, dc motors. In case of too large perturbations it becomes possible to issue a stop command. No dedicated sensors are used, such as, for example, accelerometers. Only the feedback current is analyzed. The signal conditioning stage consists only of a low-pass filter - no amplification is done, so the hardware cost is minimal or none. The effect of vibrations can be "seen" in the steady-state, when the PWM command is held constant, but the feedback current oscillates or has sharp amplitude variations (very small but detectable).

关键词： Valves Vibrations Pulse width modulation Steady-state Safety Solenoids Aging

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A task mapping simulation framework for comparing the performance of mapping heuristics in various scenarios

A task mapping simulation framework for comparing the perfor...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Adrian Alexandrescu Ioan Agavriloaei Mitica Craus Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

Heterogeneous high-computing distributed systems need to process tasks as efficiently as possible by mapping each task to the most suitable machine from the system. Mapping heuristics can be used to solve this problem, but the performance of these heuristics depend on the environment in question. In this paper we propose a highly-customizable Task Mapping Framework for comparing heuristics that can be used in various scenarios based on performance metrics. Our framework was used to test ten mapping heuristics in eight scenarios using four performance metrics: the makespan, the load imbalance, the algorithm's execution time and the success rate. The tasks used in the simulation had priorities and soft-deadlines, and the scenarios focused on comparing between a low and a high number of tasks, consistent and inconsistent ETC matrices, and a low and a high heterogeneity using a uniform and a gamma random distribution of the tasks' execution times. This framework proved to be an efficient tool for determining the best mapping heuristics in different scenarios.

关键词： Heuristic algorithms Measurement Availability Load modeling XML Abstracts computers

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Image processing using quantum computing

Image processing using quantum computing

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Simona Caraiman Vasile Manta Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

According to the principles of quantum physics, the computing power of a quantum machine is immense compared to that of a classical one. Encouraged by this idea important applications of quantum computation to computer science have been developed (e.g. faster algorithms, secure transmissions). In this paper we investigate the implications of using quantum computing systems in the field of image processing. We consider basic gray level transformations such as image negatives, binarization, histogram computation and histogram equalization and show how these operations can be expressed using the quantum formalism. Moreover, we show how the efficient exploitation of the special properties of quantum computation leads to better performance for the proposed quantum operations as compared to the classical correspondents.

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Mesh simplification based on Willmore energy weighted quadric error metric

Mesh simplification based on Willmore energy weighted quadri...

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Apostol, Bogdan Manta, Vasile Faculty of Automatic Control and Computer Engineering Technical University Gheorghe Asachi Iasi Str. Prof. dr. doc. Dimitrie Mangeron nr. 27 Iasi 700050 Romania

ISBN: (纸本)9786068348483

Rendering, storing and transmission of high resolution models composed of large number of triangles primitives represents one of problems that scientific visualization and virtual reality faces. When these models exceed the capacity of the graphics hardware real-time rendering the solution is to simplify the mesh models by eliminating primitives from the original models while trying to keep topological information and main surface characteristics. This paper presents a new approach to the quadric error metric mesh simplification that uses the local surface features to quantify the cost of an edge collapse. We achieve this by using a weight for each quadric error processed that takes into account local Willmore energy. We defined the probability of each vertex to be decimated or not in the simplification process to be the entropy value of the vertex neighborhood Willmore energy values. We demonstrate that our method can obtain better geometric results than QSlim simplifications by preserving local features in regions of high importance for the viewer. © 2012 Dunarea de Jos University.

关键词： Virtual reality

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Neural network and fuzzy membership functions based edge detection for digital images

Neural network and fuzzy membership functions based edge det...

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Mihalache, Constantina Raluca Craus, Mitiča Faculty of Automatic Control and Computer Engineering Technical University Gheorghe Asachi Iasi Str. Prof. dr. doc. Dimitrie Mangeron nr. 27 Iasi 700050 Romania

ISBN: (纸本)9786068348483

Edge detection is an important problem in image processing. This was extensively studied in recent years. In this paper artificial feedforward neural networks are used for identifying edges in gray-scale images. Supervised learning based on the gradient descent algorithm is used. A new method is proposed for neural network training patterns using fuzzy concepts. Fuzzy membership functions are used for improving the generalization capability of neural network. Edge detection in noisy images without applying a noise removal technique poses a difficult problem. The proposed method obtained successful experimental results for digital images. The advantage of our approach is that we use the trained neural network as a filter on both noisy and noise free images. © 2012 Dunarea de Jos University.

关键词： Feedforward neural networks

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SUPERVISORY control FOR ETHYLENE PRODUCTION IN PETROCHEMICAL INSTALLATIONS

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IFAC Proceedings Volumes 2012年第6期45卷 230-235页

作者： Silviu Medianu Mădălina Mircioiu Dumitru Popescu University “Politehnica” of Bucharest Faculty of Automatic Control and Computer Engineering Splaiul Independentei 313 Bucuresti Cod Postal 060042 ROMANIA

The main objective of this work is the design and implementation of a hierarchical control solution for chemical and petrochemical processes, namely the control and optimization of the ethylene reactor, the key-installation in the petrochemical industry. The hierarchical control structures are organized on two levels of automation. The execution or control level, on the one hand, has to fulfill two important tasks: the data acquisition from the physical plant and the regulation of the major parameters of the process. The supervisory level, on the other hand, is referred to the optimization of the production.

关键词： ethylene reactor identification numerical control optimization

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Analysis of CT data using parallel GPU architectures

Analysis of CT data using parallel GPU architectures

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International Conference and Exposition on Electrical and Power engineering (EPE)

作者： Marius Gavrilescu Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

Computed Tomography (CT) scanners have a wide variety of uses, particularly in medical and industrial imaging. However, the data generated by these devices does not have intrinsic visual information and is often large enough to make it time consuming and tedious for an expert to manually inspect. We present techniques which allow for the fast and intuitive semi-automatic visual analysis of large CT data, comprising hundreds of slices. These techniques make use of the vast capabilities of modern GPUs, allowing for large bodies of data to be processed in real time, while generating images where the information obtained via CT scans is classified and represented through a precise control of color and transparency. We provide detailed descriptions of the underlying algorithms and methods involved in processing the CT information, present our results via images generated by our proprietary rendering frameworks, and explain how these images convey a faster and more intuitive means of inspecting the underlying data.

关键词： Image color analysis Computed tomography Rendering (computer graphics) Graphics processing units Biomedical imaging Transfer functions Casting

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Neural network and fuzzy membership functions based edge detection for digital images

Neural network and fuzzy membership functions based edge det...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Constantina Raluca Mihalache Mitica Craus Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

关键词： Image edge detection Biological neural networks Noise Training Noise measurement Gray-scale Neurons

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Mesh simplification based on Willmore energy weighted quadric error metric

Mesh simplification based on Willmore energy weighted quadri...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Bogdan Apostol Vasile Manta Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

关键词： Measurement Surface treatment Entropy Solid modeling Visualization Energy resolution Rendering (computer graphics)

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