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第三十一届中国控制会议

作者： Thomas Steffen Andreas Haupt Lothar Litz Faculty of Electrical and Computer Engineering Institute of Automatic ControlTechnical University of Kaiserslautern67663 KaiserslauternGermany

ISBN: (纸本)9781467325813

In the context of wireless networked control systems energy constraints may become crucial.A special way to cope with them is based on an additional degree of freedom by independently selecting the sampling period and the transmission *** transmission intervals are introduced to reduce the communication costs while preserving the quality of *** this paper a model-free and a novel model-based structure towards integral action are introduced.A stability proof for both approaches is given.

关键词： resource constrained control wireless networked control systems model based control adaptive control

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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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Linear Quadratic Regulator for the Three-Phase Grid Connected Power Converter

Linear Quadratic Regulator for the Three-Phase Grid Connecte...

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The Second International Conference on Micro Nano Devices,Structure and Computing Systems(MNDSCS 2013)

作者： Marian Gaiceanu Dunarea de Jos University of Galati Faculty of Automatic Control Computer Science Electrical and Electronics Engineering

This paper proposes a combined power quality-optimal control of the three-phase grid connected power converter. By using the technique of decoupling control, the mathematical model of the three-phase power converter is developed in the dq rotating reference frame and it is linearized around the operating point. The optimal control problem is with free-end point, infinite time horizon, and without constraints. The proposed optimal control is obtained as a solution of the Algebraic Riccati Equation. The numerical simulations based on the Matlab/Simulink software show the validity of the proposed solution.

关键词： optimal control grid connected power inverter power quality Matlab/Simulink

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The Fast Itemset Miner: A detailed analysis of the candidate generation stages

The Fast Itemset Miner: A detailed analysis of the candidate...

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

作者： Alexandru Archip Mitică Craus Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Ia&i Romania

Association Rule Mining (ARM) represents an important tool for Data Mining techniques. A key step in ARM is to determine the frequent itemsets present within the analyzed data. Recent algorithms addressing this problem focus on identifying frequent itemsets without candidate generation steps. This paper details a new algorithm - Fast Itemset Miner (FIM for short) - that still relies on candidate generation stages, but has a different approach from the standard Apriori algorithm. This approach focuses on increasing size of the interval that candidates belong to, rather than increasing the size of the candidates by one with each corresponding iteration. By comparing the Apriori and FIM candidate generation stages, we show that this second approach uses a faster and more efficient method of determining candidate itemsets. Moreover, such an approach also favors a better support counting method, which greatly impacts on the overall time response of the FIM algorithm.

关键词： Itemsets Equations Association rules Mathematical model Algorithm design and analysis

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Heat distribution in the deep drawing device components working by high temperatures 10

Heat distribution in the deep drawing device components work...

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10th International Conference Machine and Industrial Design in Mechanical engineering, KOD 2018

作者： Tropp, M. Brumerčík, F. Šteininger, J. Weis, P. Glowacz, A. Univerzity of Žilina Faculty of Mechanical Engineering Department of Design and Mechanical Elements Univerzitná 1 Žilina010 26 Slovakia AGHUniversity of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Al. A. Mickiewicza 30 Kraków30-059 Poland

The subject of the article is a simulation of heat affected components of a device for deep drawing by extreme conditions in vacuum by high temperatures required for forming of crystallization containers made from thin molybdenum sheets. The simulation is focused on the distribution of heat in particular components in relation with their shape. There are presented the design of working components and the boundary conditions of transient thermal simulations with the results. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Deep drawing

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IT'S ALL IN THE EMBEDDING! FAKE NEWS DETECTION USING DOCUMENT EMBEDDINGS

arXiv

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arXiv 2023年

作者： Truicǎ, Ciprian-Octavian Apostol, Elena-Simona Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also increases the risk of spreading disinformation, misinformation, and malformation through the use of fake news. The emergence of this harmful phenomenon has managed to polarize society and manipulate public opinion on particular topics, e.g., elections, vaccinations, etc. Such information propagated on social media can distort public perceptions and generate social unrest while lacking the rigor of traditional journalism. Natural Language Processing and Machine Learning techniques are essential for developing efficient tools that can detect fake news. Models that use the context of textual data are essential for resolving the fake news detection problem, as they manage to encode linguistic features within the vector representation of words. In this paper, we propose a new approach that uses document embeddings to build multiple models that accurately label news articles as reliable or fake. We also present a benchmark on different architectures that detect fake news using binary or multi-labeled classification. We evaluated the models on five large news corpora using accuracy, precision, and recall. We obtained better results than more complex state-of-the-art Deep Neural Network models. We observe that the most important factor for obtaining high accuracy is the document encoding, not the classification model's complexity. © 2023, CC BY-NC-ND.

关键词： Embeddings

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An optimization method based on evolutionary computation used for estimating the energy consumption for heating in a building

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

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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2016年第3期78卷 265-276页

作者： Cǎruţaşiu, Mihail-Bogdan Stegaru, Silvia Cristina Ionescu, Constantin Sluşanschi, Emil Ioan Badea, Adrian Ţǎpuş, Nicolae University Politehnica of Bucharest Faculty of Power Engineering Romania Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Romania Faculty of Power Engineering University Politehnica of Bucharest Romania

Simplified mathematical models that can describe the real behavior of a building with relative small errors can provide useful information about the best operational methods of the HVAC (Heating, Ventilating and Air Conditioning) systems, energy demand for heating and cooling, etc. We developed a simplified mathematical model for computing the energy demand for heating and optimized it with a Genetic Algorithm, in order to minimize the error between the model and real data. The tested period (a month) showed that the optimization method is suitable for this type of applications and the relative error was 0.14 kWh.

关键词： Energy utilization

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The Development of an ERP Application within a computer Integrated Manufacturing Laboratory

The Development of an ERP Application within a Computer Inte...

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Chinese control Conference (CCC)

作者： Stefan Dumbrava Faculty of Automatic Control and Computer Engineering “Gh. Asachi” Technical University of Iasi Iasi Romania

Enterprise control applications are becoming more and more complex, exploiting distributed object technology in multi-tier architectures. For educational purposes, the development of a manufacturing control laboratory that may emphasize the new control techniques and the overall integration of the system activities with business processes is a complex and challenging task. In the paper, an educational enterprise application that integrates the ERP concept together with a flexible manufacturing system in a computer integrated laboratory is presented. It contains modularized, distributed subsystems in configurable and maintainable software, covering the business processes, from the customer order, to planned order dispatch. The software architecture contains the ERP components that are implemented using Enterprise Java Beans, deployed in a J2EE application server. It enables transactions with the business environment, shop-floor system and the database. The application is conceptually designed and analyzed using a visual model developed in unified modeling language.

关键词： Enterprise resource planning Application software computer integrated manufacturing Laboratories control systems Software maintenance computer architecture Manufacturing processes Flexible manufacturing systems computer aided manufacturing

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Hierarchical Classification of Transversal Skills in Job Ads Based on Sentence Embeddings

arXiv

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arXiv 2024年

作者： Leon, Florin Gavrilescu, Marius Floria, Sabina-Adriana Minea, Alina-Adriana Faculty of Automatic Control and Computer Engineering Romania Faculty of Materials Science and Engineering "Gheorghe Asachi" Technical University of Iași Romania

This paper proposes a classification framework aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The approach involves data collection, preprocessing, and labeling using ESCO (European Skills, Competences, and Occupations) taxonomy. Hierarchical classification and multi-label strategies are used for skill identification, while augmentation techniques address data imbalance, enhancing model robustness. A comparison between results obtained with English-specific and multi-language sentence embedding models reveals close accuracy. The experimental case studies detail neural network configurations, hyperparameters, and cross-validation results, highlighting the efficacy of the hierarchical approach and the suitability of the multi-language model for the diverse European job market. Thus, a new approach is proposed for the hierarchical classification of transversal skills from job ads. © 2024, CC BY-NC-ND.

关键词： Embeddings

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A Distributed automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem

A Distributed Automatic Domain-Specific Multi-Word Term Reco...

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International Symposium on Parallel and Distributed Computing

作者： Ciprian-Octavian Truică Neculai-Ovidiu Istrate Elena-Simona Apostol Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

automatic Term Recognition is used to extract domain-specific terms that belong to a given domain. In order to be accurate, these corpus and language-dependent methods require large volumes of textual data that need to be processed to extract candidate terms that are afterward scored according to a given metric. To improve text preprocessing and candidate terms extraction and scoring, we propose a distributed Spark-based architecture to automatically extract domain-specific terms. The main contributions are as follows: (1) propose a novel distributed automatic domain-specific multi-word term recognition architecture built on top of the Spark ecosystem; (2) perform an in-depth analysis of our architecture in terms of accuracy and scalability; (3) design an easy-to-integrate Python implementation that enables the use of Big Data processing in fields such as Computational Linguistics and Natural Language Processing. We prove empirically the feasibility of our architecture by performing experiments on two real-world datasets.

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