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

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

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.

关键词： Quantum computing Graphics processing unit Computational modeling Registers computers Instruction sets Quantum cascade lasers

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Using time dependent variables for hazard analysis

Using time dependent variables for hazard analysis

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Canadian Conference on Electrical and computer engineering (CCECE)

作者： N. Galupa Faculty of Automatic Control and Computer Engineering Technical University Iasi Romania

The present paper considers the problem of hazard in combinatorial logic structures . We start from time constants method but we shall prove that this is not error free (there are situations when this method fails to point hazards in a combinatorial logic circuit). So we shall define an improvement for this method, improvement that will consider, among other features, the specific function implemented by the gates used (we are mostly interested by the inverting characteristic). In this endeavor we shall define a new type of operator and a new type of variable, both of them applicable when propagating the switching times for a specific circuit. The mentioned method is a very laborious one (considers all the possibilities disregarding the specific function implemented by a circuit). We shall prove that only a strictly limited number of situations should be considered in conjunction with the function that is being implemented by the circuit analyzed. In order to achieve this goal we shall express the logic function with respect to a new logic variable that is dependent by time. Operations with this new variable prove to have some very interesting properties (that we prove in the paper) that will allow us to restrain the window of possibilities of hazardous functioning to a very narrow one.

关键词： Hazards Propagation delay Logic circuits automatic control control engineering computing automatic logic units computer errors Error correction Switching circuits Circuit analysis

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Robust model based control method for wind energy production

Robust model based control method for wind energy production

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作者： Pintea, A. Popescu, D. Pisica, Ioana University Politehnica of Bucharest Faculty of Automatic Control and Computer Engineering Splaiul Independentei 313 Bucuresti 060042 Romania University Politehnica of Bucharest Power Engineering Faculty Department of Electric Power Systems Splaiul Independentei 313 Bucharest 060042 Romania

ISBN: (纸本)9783902661814

By continuing to use fossil fuels we are bound to pollute the atmosphere, and consequently, unwanted greenhouse and climate change effects will come to dominate every part of the earth. Wind power energy represents an interesting alternative to traditional forms of obtaining energy. However, the efficiency of wind power strongly depends on the control methods that play a significant role in eliminating the perturbing factors, decreasing the structural loads and increasing the amount and quality of the energy that is produced. A design of a model based control algorithm for a horizontal wind turbine is proposed. In a model-based control approach, increased model accuracy implies reduced uncertainty. The paper will include an analysis of the advantages that may arise from using such a control technique and also will focus on the robustness of the closed loop system. © 2010 IFAC.

关键词： Wind power

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Spatio-temporal error concealment algorithms for encoded video streams for real-time applications

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International Journal of computers and Applications 2012年第2期34卷 105-118页

作者： Sarhan, Amany Mahmoud, Rasha O. Faheem, Mohamed T. Computers and Automatic Control Engineering Department Faculty of Engineering Tanta University Egypt Computer Science Department Nile Institute of Commerce and Computer Technology Mansoura Egypt Computers and Automatic Control Engineering Department Faculty of Engineering Taief University Saudi Arabia

Multimedia is one of the most important aspects of the information era. With the advent of the multimedia age and the spread of Internet, video storage and streaming has been gaining a lot of popularity. When transmitting compressed video over a data network channel errors affect the decoding process. Video transmission puts constraints on data rate, computational complexity and delay. Unreliable channels add more challenges to this task as compressed video is extremely vulnerable to transmission errors. Problems arising from imperfect transmission of block coded video frame sequence result in lost blocks. This paper presents and implements a set of decoder side spatio-temporal algorithms that aim to enhance the speed and quality of the error concealment process. The results obtained by these algorithms are much faster and achieve better performance compared to the existing algorithms, which make them more suitable for real-time applications.

关键词： Image communication systems

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A cluster-based web system providing guaranteed service

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Systems Science 2009年第4期35卷 69-80页

作者： Zatwarnicki, Krzysztof Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

The paper describes a new MLF (Mostly Loaded First) method of HTTP requests scheduling and distribution in a cluster-based Web system. Its application enables keeping the quality of the Web service on the required level and makes the Web service behave in a predictable way, opposite to other Web services offering unpredictable and unreliable services of best-effort type. MLF method helps to keep the page response time within established bounds, so that at a heavy workload, servicing both small and simple or more complex pages, would not exceed the imposed time limit. In the method presented, appropriate mechanisms of HTTP requests scheduling have been applied, as well as a new algorithm of the requests distribution has been proposed. In the paper, the method, the testbed and results obtained, which indicate desirability of further research on the MLF method, are presented.

关键词： HTTP

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VLAN-PSSR: Port-switching based Source Routing using VLAN tags in SDN data centers

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2017年第2期79卷 15-24页

作者： Poncea, Ovidiu Mihai Moldoveanu, Florica Asavei, Victor Dept of Computer Science and Engineering Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Romania

Source Routing allows a node in the path of a packet to specify partially or completely the route taken by that packet. The route is appended to packet header as a list of nodes to traverse, therefore making simple, stateless forwarding decisions. In this paper, we present a novel approach of Source Routing in SDN that uses stacked VLAN tags. Our solution was validated in Mininet using the Ryu controller and proven to have multiple advantages over other forwarding methods.

关键词： Mininet Networking SDN Source Routing VLAN

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Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

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IEEE Sensors Journal 2024年第1期24卷 975-983页

作者： Syu, Jia-Hao Lin, Jerry Chun-Wei Biernacki, Piotr Ziebinski, Adam National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice44-100 Poland Silesian University of Technology Department of Distributed Systems and Informatic Devices Gliwice44-100 Poland

Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation, and distance sensors are especially important for sensing the environment and gathering information. Researchers have developed various methods to calibrate distance sensors;however, they mainly focus on using external information for calibration, which is inefficient and computationally expensive. To alleviate the above problems, we propose machine learning (ML)-based calibration approaches for distance sensors. We develop two calibration mechanisms, where the naive mechanism directly predicts the true distance, while the residual mechanism predicts the residual for calibration. The conventional ML regression algorithms are then adopted to predict the true distance or calibration residual. Experimental results show that the designed residual calibration mechanism outperforms the naive mechanism by reducing the root mean square error (RMSE) by 92.2% and mean absolute error (MAE) by 93.3% in the fitting task. In prediction, the proposed 2-D-residual mechanism achieves an improvement of 78.6% and 65.7% compared to the state-of-the-art method. The experimental results show the effectiveness and generalization of the proposed ML-based calibration method, especially for the 2-D mechanism, which achieves the highest robustness in all fitting and prediction tasks. © 2001-2012 IEEE.

关键词： Calibration

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Solving experiment reproducibility in ambient intelligence

UPB Scientific Bulletin, Series C: Electrical Engineering

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UPB Scientific Bulletin, Series C: Electrical engineering 2014年第1期76卷 17-30页

作者： Ismail, Andrei-Adnan Florea, Adina-Magda Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

Ambient Intelligence is an active research field that studies embed- ding computing elements into the environment - Weiser's concept of disap- pearing computer. Practical experiments are complex to orchestrate, because of the technical expertise required in hardware, software engineering and machine learning. The entry barrier for running such an experiment is very high, requiring coordinated e orts at all levels in a research team, and an actual laboratory with sensors in order to collect the data. In this work, we show how the power of Amazon's EC2 cloud can be lever- aged in conjunction with a record and replay system for sensor data in order to allow researchers from anywhere in the world to run such experiments. The software infrastructure used for the experiments is open-source and freely available at https: // github. com/ ami-lab/ AmI-Platform . This platform is used in the AmI Laboratory (EF 210) of the University Po- litehnica of Bucharest.

关键词： Open source software

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Empirical evaluation of continuous test-driven development in industrial settings

Empirical evaluation of continuous test-driven development i...

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作者： Madeyski, Lech Kawalerowicz, Marcin Faculty of Computer Science and Management Wroclaw University of Science and Technology Wyb. Wyspianskiego 27 Wroclaw50-370 Poland Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

BACKGROUND: Continuous Test-Driven Development (CTDD) is, proposed by the authors, enhancement of the well-established Test-Driven Development (TDD) agile software development and design practice. CTDD combines TDD with continuous testing (CT) that essentially perform background testing. The idea is to eliminate the need to execute tests manually by a TDD-inspired developer. OBJECTIVE: The objective is to compare the efficiency of CTDD vs TDD measured by the red-to-green time (RTG time), i.e., time from the moment when the project is rendered not compiling or any of the tests is failing, up until the moment when the project compiles and all the tests are passing. We consider the RTG time to be a possible measurement of efficiency because the shorter the RTG time, the quicker the developer is advancing to the next phase of the TDD cycle. METHOD: We perform single case and small-n experiments in industrial settings presenting how our idea of Agile Experimentation materialise in practice. We analyse professional developers in a real-world software development project employing ***. We extend the contribution presented in our earlier paper by: 1) performing additional experimental evaluation of CTDD and thus collecting additional empirical evidence, 2) giving an extended, detailed example how to use and analyse both a single case and small-n experimental designs to evaluate a new practice (CTDD) in industrial settings taking into account natural constraints one may observe (e.g., a limited number of developers available for research purposes) and presenting how to reach more reliable conclusions using effect size measures, especially PEM and PAND which are more appropriate when data are not normally distributed or there is a large variation between or within phases. RESULTS: We observed reduced variance and trimmed means of the RTG time in CTDD in comparison to TDD. Various effect size measures (including ES, d-index, PEM, and PAND) indicate small, albeit non-

关键词： Software design

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Pneumonia Detection from X-ray Images Using Convolutional Neural Networks

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

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International Conference on control Systems and computer Science (CSCS)

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

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.

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