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On the orthogonal collocation and mathematical programming approach for state constrained optimal control problems

Annual Review in automatic Programming 1985年第PART 2期13卷 1-7页

作者： Abdelrahman, O.E Abuelnasr, B.M Department of Mathematics and Computer Sciences Zagazig University Zagazig Egypt Department of Computer Sciences and Automatic Control Faculty of Engineering University of Alexandria Egypt

The orthogonal collocation approach is now well known to solve, effectively, the state constrained optimal control problems. Mathematical programming technique was also used as an effective tool to construct the optimal trajectories. In this paper, a study is done on the efficiency and accuracy requirements of the combined orthogonal collocation and mathematical programming approach, as regarding the employed optimization algorithm, and the number of orthogonal collocation points. It is shown, by experimentation with numerical examples that Fletcher-Powell optimization algorithm is much more faster to produce convergence than Fletcher-Reeves algorithm. The efficiency can be a ratio of six-to-one. The results are compared with an alternative approach to solve the same problem. It is shown that the present algorithm is less costly than the alternative approach, although requiring more computation time. The choice is then a compromise one. As the number of orthogonal points increases, the resulting solutions are more accurate, but the convergence speed decreases. Experimentation with N, shows a save of five-to-one in computing time can be achieved with almost the same cost function. Finally, it is shown, by a numerical example, that uniformly distributed collocation points result in non-optimal solutions, which also violate the problem constraints. It is a numerical proof of the superiority of the orthogonal collocation approach. © 1986.

关键词： convergence speed mathematical programming optimization algorithms Orthogonal collocation state constrained problems

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A Distributed automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem 22

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

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22nd International Symposium on Parallel and Distributed Computing, ISPDC 2023

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

ISBN: (纸本)9798350341270

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. © 2023 IEEE.

关键词： Ecosystems

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Real-Time Notifier for Blockchain Events 22

Real-Time Notifier for Blockchain Events

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22nd RoEduNet Conference: Networking in Education and Research, RoEduNet 2023

作者： Tanase-Paris, Cristian Carabas, Costin Tapus, Nicolae University Politehnica of Bucharest Faculty of Automatic Control and Computers Computer Science and Engineering Department Bucharest Romania

ISBN: (纸本)9798350393651

Blockchain technology gained much traction in the last few years. These decentralized databases offer security, immutability, and scalability across various applications. Decentralized applications generate vast amounts of data, known as events, that are recorded on the blockchain and are public to anyone. Some people may see opportunities for financial gains in these events and would like to know when they occur. This paper proposes a solution to process and deliver those events as real-time alerts to the users. It uses existing technologies such as message queues, multithreading, and asynchronous processing and integrates them into a scalable architecture. The results we achieved in this paper show that for an evenly distributed network traffic, which does not entirely consists of transaction bursts, the proposed solution offers reliability, efficiency, and a suitable delivery time to those wishing to integrate it into their projects. With time, this solution, or improved architectures, may form the basis of the following big-data architectures for processing blockchain events. © 2023 IEEE.

关键词： Blockchain

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A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times 23

A new metric for evaluating the performance and complexity o...

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23rd International Conference on control Systems and computer Science Technologies, CSCS 2021

作者： Folea, Rares Slusanschi, Emil-Ioan University Politehnica of Bucharest Faculty of Automatic Control and Computers Computer Science and Engineering Department Bucharest Romania

ISBN: (纸本)9781665439398

This paper presents a refined complexity calculus model: r-Complexity, a new asymptotic notation that offers better complexity feedback for similar programs than the traditional Bachmann-Landau notation, providing subtle insights even for algorithms that are part of the same conventional complexity class. The architecture-dependent metric represents an enhancement that provides better sensitivity with respect to discrete analysis. © 2021 IEEE.

关键词： Calculations

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Image vectorization on modern architectures

Image vectorization on modern architectures

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2013 IEEE 9th International Conference on Intelligent computer Communication and Processing, ICCP 2013

作者： Slusanschi, Emil Lupescu, Grigore Computer Science and Engineering Departament Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

ISBN: (纸本)9781479914937

This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases for the proposed solution. We will present the algorithm, the target architectures and threading models, as well as a number of optimization techniques. Finally results of both low power SoC and high performance multicore processors are discussed. © 2013 IEEE.

关键词： System-on-chip

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A Concept of an Adaptive Luminaire with Variable Luminous Intensity Distribution 7

A Concept of an Adaptive Luminaire with Variable Luminous In...

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7th Lighting Conference of the Visegrad Countries, LUMEN V4 2018

作者： Lesko, Marcin Wachta, Henryk Baran, Krzysztof Rozowicz, Antoni Faculty of Electrical and Computer Engineering Rzeszow University of Technology Rzeszow Poland Automatic Control and Computer Science Kielce University of Technology Faculty of Electrical Engineering Kielce Poland

ISBN: (纸本)9781538679234

The article presents an innovative concept of adaptive luminaire with variable luminous intensity distribution. It enables adjustment of photometric characteristic of luminaire to variable arrangement of the facility, including the quantitative regulation of luminous flux and spatial distribution. A solution presented in this paper was developed as part of a research project titled 'Development of the Intelligent Light Distribution System SOLLS ACTIVE SKY' and is the subject of patent application. The authors present the results of simulation tests in terms of the possibility of obtaining different luminous intensity distribution and lighting parameters on the working plane, with variable position relative to the arrangement of the luminaires. The use of a luminaire with variable luminous intensity distribution as part of an adaptive lighting system allows for quick and cost-free introduction of changes in the lighting of selected functional zones inside the facility. It is possible to adjust the lighting in case of changes in the size or position of the working plane, while the position of luminaire is constant. © 2018 IEEE.

关键词： Optical systems

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UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles

UPB at IberLEF-2023 AuTexTification: Detection of Machine-Ge...

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2023 Iberian Languages Evaluation Forum, IberLEF 2023

作者： Preda, Andrei-Alexandru Cercel, Dumitru-Clementin Rebedea, Traian Chiru, Costin-Gabriel Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest060042 Romania

This paper describes the solutions submitted by the UPB team to the AuTexTification shared task, featured as part of IberLEF-2023. Our team participated in the first subtask, identifying text documents produced by large language models instead of humans. The organizers provided a bilingual dataset for this subtask, comprising English and Spanish texts covering multiple domains, such as legal texts, social media posts, and how-to articles. We experimented mostly with deep learning models based on Transformers, as well as training techniques such as multi-task learning and virtual adversarial training to obtain better results. We submitted three runs, two of which consisted of ensemble models. Our best-performing model achieved macro F1-scores of 66.63% on the English dataset and 67.10% on the Spanish dataset. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Deep learning

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A Decentralized Paper Dissemination System Employing Blockchain Technology, Peer Review and Expert Badges 27

A Decentralized Paper Dissemination System Employing Blockch...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Bărbuţă, Delia-Elena Alexandrescu, Adrian Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

ISBN: (纸本)9798350337983

Peer review represents the status-quo when it comes to evaluating research articles that are submitted to conferences and journals. The significance of a computer science article is given by the prestige of the publication and is correlated with the inclusion in the ISI Web of Science index. This paper discusses the issues of the current paper publication paradigm and proposes a decentralized approach to the paper dissemination and the peer review processes. On the one hand, decentralization and transparency are obtained by employing smart contracts, through blockchain technology. On the other hand, an optimization of the paper rating system is obtained by employing a system of expert badges, based on NFTs, which ensure that the peer review process is just and that only specialists in the fields associated to the contributed paper offer proficient feedback. Other proposed facets include the remuneration of reviewers, a method of allowing the proposed system to expand based on the community's input, and a solution for allowing the organization of conferences. © 2023 IEEE.

关键词： Smart contract

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Intelligent diagnostics of devices with the use of infrared mapping images

Intelligent diagnostics of devices with the use of infrared ...

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2011 3rd International Students Conference on Electrodynamics and Mechatronics, SCE III

作者： Gasz, R. Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology 45-272 Opole Poland

ISBN: (纸本)9781424496952

A correct diagnostics together with the early prediction of failure or malfunction of the system are the major issues in modern maintenance. Nowadays, the time-honored diagnostics may be inadequate and lead to omitting failures, resulting in higher costs of repairing damaged equipment. That is why the interest in intelligent diagnostics increases due to the possibility of better interpretation of the component status and early failure prediction. One of the ways of determining the device condition is to measure and analyze the temperature of multiple points on the device. Thermographics may show a beginning of significant wear of a component, and enable a repair or replacing before the failure appears. The paper presents the key aspects of the diagnostics with thermal images, including: technology mapping, mapping algorithms, together with a presentation of available software solutions. © 2011 IEEE.

关键词： Repair

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Learning the Dynamic Environment of an Original Game Using Hierarchical Reinforcement Learning Methods 27

Learning the Dynamic Environment of an Original Game Using H...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Batalan, Vlad Leon, Florin Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iași Iași Romania

ISBN: (纸本)9798350337983

This paper compares the performance of two reinforcement learning algorithms, Q-Learning and MAXQ-0, in learning to play an original game. An extension of MAXQ-0 algorithm, MAXQ-P is introduced, which enhances the variety of the tree nodes with simple, ordered and repetitive nodes. The hierarchical approach provided by MAXQ-P finds the optimal solution faster than the flat Q-Learning approach but converges more slowly. Furthermore, the performance of the MAXQ-P algorithm decreases after a certain number of episodes due to representation error in the weights of the model. To address this issue, the model is periodically tested with an exploration value of 0, and if the model successfully finds the solution, it is stored for future use. This study provides insights into the benefits and drawbacks of using hierarchical reinforcement learning algorithms for complex tasks and highlights the importance of carefully designing and training such algorithms for optimal performance. © 2023 IEEE.

关键词： Reinforcement learning

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