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Design of the electromagnetic mill and the air stream ratio model.

IFAC-PapersOnLine 2017年第1期50卷 14964-14969页

作者： Wolosiewicz-Glb, M. Foszcz, D. Ogonowski, Sz. AGH University of Science and Technology Faculty of Mining and Geoengineering Department of Environmental Engineering and Mineral Processing Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Poland

Complex mineral raw materials processing is an essential operation in modern industry. Innovative technologies help in constant improving of the efficiency and performance. The paper presents a design of electromagnetic mill, its technological structure and control system. In comparison to conventional solutions, the electromagnetic mill is a fully automated system. It operates in more effective way. The proper selection of the physical and process parameters of the system is crucial for efficiency of the process. The device stands out because of its low energy consumption. The air stream ratio model has been presented for the dry grinding and classification unit with the electromagnetic mill. The concept of the grinding system is described along with indirect measurement methodology. Supervisory control algorithm based on the model structure is derived. © 2017

关键词： Structural design Algorithms Automation control systems Energy utilization Grinding (machining) Mineral industry Air streams Efficiency and performance electromagnetic mill Grinding media Indirect measurements Innovative technology Low energy consumption Technological structures

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A reliable-Adaptive scheduler for computational grids with failure recovery and rescheduling mechanisms

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International Journal of Grid and Utility Computing 2011年第1期2卷 59-75页

作者： Sarhan, Amany Saleh, Ahmed I. Hamed, Amr M. Computer Engineering and Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt Computer Engineering and Systems Department Faculty of Engineering Mansoura University P.O. Box 72 Mansoura Egypt

Computational grids (CGs) have become an attractive research area as they suggest a suitable environment for developing large scale parallel applications. CGs integrate a large amount of distributed heterogeneous resources into a single powerful platform. However, to make good use of CGs, grid resources should be scheduled efficiently. Various scheduling strategies have been introduced, including static and dynamic behaviours. The former maps tasks to resources at submission time, while the latter operates at schedule time. While static scheduling is unsuitable for the dynamic grid environment, scheduling in CGs is still more complex than the proposed dynamic ones. This paper introduces a decentralised adaptive grid scheduler (AGS) based on a novel rescheduling mechanism. AGS has several salient properties as it is;hybrid, adaptive, decentralised, and efficient. AGS is also robust as it has the ability to: 1 detect resource failures 2 continue its functionality in spite of the failure existence 3 recover back as soon as possible. Moreover, it integrates both static and dynamic scheduling behaviours. An initial static scheduling map is proposed for an input directed acyclic graph (DAG). However, DAG tasks may be rescheduled if the hosting resources' performance changes in a way that affects the tasks' response time. AGS tries to overcome drawbacks of traditional schedulers by utilising the mobile agent unique features to enhance the resource discovery and monitoring processes. Experimental results have shown that AGS outperforms traditional grid schedulers as it introduces a better scheduling efficiency. © 2011 Inderscience Enterprises Ltd.

关键词： Mobile agents

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Estimation of parameters of selected converter drives

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Archives of Electrical engineering 2012年第4期61卷 533-565页

作者： Beniak, Ryszard Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Sosnkowskiego 31 45-272 Opole Poland

The paper presents a method for estimation of converter drive parameters. This estimation encompassed three types of drives, i.e. a static Scherbius drive, a drive with a brushless direct current (BLDC) motor and a drive with a voltage inverter. For drive modelling and parameter estimation, the author implemented original programmes written in FORTRAN. As well as these, the paper describes an objective function applied for the estimation. The author also compares gradient and gradientless methods, which are applied for minimization of the objective function. Finally, the author explains the estimation results for example drives, focusing on the coincidence of theoretical and empirical waveforms. The abovementioned procedure led to the general rule, which facilitates estimation efficiency.

关键词： Parameter estimation

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Computationally efficient method of simulation of an electric drive impact on the power grid

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Archives of Electrical engineering 2013年第1期62卷 77-90页

作者： Beniak, Ryszard Gardecki, Arkadiusz Opole University of Technology Faculty of Electrical Engineering Automatic Control and Computer Science Sosnkowskiego 31 45-272 Opole Poland

This paper presents a computationally efficient method for modelling an impact of the converter drive on the power grid. The formalized variable structure method (FVSM) allows for comprehensive studies of the effect on the power grid and examining the relation between this effect and the number of drive and feeding line parameters. In order to obtain a comprehensive model along with the model of the power grid, the parameters that are applied originate from a drive of a coal-fired power station. These parameters have been determined based on assessment and estimation. The estimation process was conducted with the aid of a model that allows for the commutation of power electronic elements. The authors confirmed that the model was correct by comparing empirical and theoretical voltage and current waveforms. Harmonic content of the voltage and current in the power grid which feeds the drive are considered to be the measure of the converter drive impact on the power grid. The standard method for the reduction of a harmonic content in the voltage and current involves the application of line reactors and distribution or converter transformers. As an example, the authors determine the impact of the drive on the power grid with respect to the adopted parameters of the line reactor. This example presents FVSM abilities with regard to simulation of complex systems that contain power grid components and converter drives.

关键词： Electric drives

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

作者： Bârleanu, Alexandru BǍitoiu, Vadim Stan, Andrei Faculty of Automatic Control and Computer Engineering Technical University of Iasi Romania

ISBN: (纸本)9786068348483

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). © 2012 Dunarea de Jos University.

关键词： Low pass filters

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Image processing using quantum computing

Image processing using quantum computing

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

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

ISBN: (纸本)9786068348483

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. © 2012 Dunarea de Jos University.

关键词： Quantum computers

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Parallel quantum computer simulation on the GPU

Parallel quantum computer simulation on the GPU

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15th International Conference on System Theory, control and Computing, ICSTCC 2011

作者： Amariutei, Andrei Caraiman, Simona Faculty of Automatic Control and Computer Engineering Technical University of Iasi Romania

ISBN: (纸本)9781457711732

Simulation of quantum computers using classical computers is a hard problem with high memory and computational requirements. Parallelization can alleviate this problem, allowing the simulation of more qubits at the same time or the same number of qubits to be simulated in less time. A promising approach is to exploit the high performance computing capabilities provided by the latest graphical processing units. In this paper we present a parallel implementation of the QC-lib quantum computer simulator on the GPU using the CUDA programming model. The proposed scheme for partitioning the terms that describe the state of a quantum register takes advantage of the specific characteristics of the CUDA memory spaces and allows for an efficient parallelization of the general singe qubit operator. Experimental results indicate that very good speed-ups can be obtained in contrast with the sequential implementation. © 2011 faculty of Auto control.

关键词： Quantum computers

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Pneumonia Detection from X-ray Images Using Convolutional Neural Networks 24

Pneumonia Detection from X-ray Images Using Convolutional Ne...

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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Dediu, Viorel Udrea, Andreea Faculty of Automatic Control and Computer Science Univesity Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pneumonia detection based on convolutional neural networks. Four network models are investigated. They are trained on 4.163 images from a public dataset and tested on 530 images. The best results are obtained by one of the proposed models conducting to a sensitivity of 98.72%, an accuracy of 89.81%, and ROC 93.46%. Thus, this research proposes a lightweight screening tool that can help triaging the patients with pneumonia. © 2023 IEEE.

关键词： Convolution

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Fe2O3-Functionalized MoS2 Nanostructure Sensor for High-Sensitivity and Low-Level SO2 Detection

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ACS Sensors 2025年

作者： Gond, Rahul Barala, Suraj Shukla, Prajjwal Bassi, Gaurav Kumar, Suresh Kumar, Mukesh Kumar, Mahesh Rawat, Brajesh Department of Electrical Engineering Indian Institute of Technology Ropar Punjab Rupnagar140001 India IDRP-Space Science and Technology Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Physics Indian Institute of Technology Ropar Punjab Rupnagar140001 India Department of Physics Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Electrical Engineering Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

Real-time sulfur dioxide (SO2) monitoring is essential to mitigate its severe health and environmental impacts while ensuring compliance with industrial safety and emission regulations. Two-dimensional MoS2 stands out as a promising material for developing low-temperature-operated gas sensors due to its exceptionally high surface-to-volume ratio and ease of surface functionalization. However, monitoring the SO2 level faces challenges, including limited selectivity, sensitivity, and detection range, with high operating temperatures (200-600 °C) or external light source requirements. To address these issues, we present a highly sensitive SO2 sensor based on Fe2O3 nanoparticle-functionalized vertically aligned MoS2 nanostructure material, which is fabricated using a scalable sputtering process. The Fe2O3-MoS2 sensor exhibits a broad detection range from 100 ppb to 100 ppm, with a theoretical detection limit of around 22.8 ppb. When exposed to 5 ppm of SO2, the sensor achieves a response of around 32.2%, with response and recovery times of approximately 104 and 141 s, respectively. The fabricated sensor demonstrated impressive sensitivity (4.9%/ppm) for SO2 concentration in the range of 0.1 to 5 ppm, coupled with excellent reproducibility and stability at 150 °C. This enhanced performance is attributed to the catalytic effect of Fe2O3 and modulation of the heterojunction barrier at the interface. This study introduces a highly scalable, reliable, and stable Fe2O3-MoS2 sensor, which paves the way for developing energy-efficient and miniaturized SO2 sensors. © 2025 American Chemical Society.

关键词： Layered semiconductors

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Efficient allocation of distributed object-oriented tasks to a pre-defined scheduled system

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International Journal of computers and Applications 2006年第1期28卷 35-42页

作者： Fergany, T. Sarhan, Amany Computer Science Department New Heaven University New Heaven City CT United States Computers and Automatic Control Engineering Faculty of Engineering Tanta University Egypt University of New Haven Department of Computer Science Computers and Automatic Control Department Tanta University

key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper presents a solution to that problem by introducing a technique that guarantees efficient allocation of predefined scheduled object-oriented software components to the available hardware based on genetic algorithm. The allocation is to be made dynamically in a system with a predefined schedule. We thus modified the parameters of the genetic search technique to allow converging to the best solution in a relatively short time to be suitable for the dynamicity of the allocation. The performance of the allocation technique is evaluated in terms of the time cost (CPU clock pulses for more generality) required for the GA search to converge to the optimal allocation structure of the software components. The results obtained by the proposed technique are compared against the results from the branch-and-bound search technique. The experimental results indicate the effectiveness of the proposed technique in reaching the optimal allocation in considerable time, showing that it requires much less time than branch-and-bound.

关键词： Object oriented programming

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