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检索条件"机构=Department of automatic control and applied informatics"

共 338 条记录，以下是61-70 订阅

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Trajectory Extraction from Online Mapping Platforms: Empowering Vehicle Dynamics and Intelligent Functionalities

Trajectory Extraction from Online Mapping Platforms: Empower...

引用

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

作者： Georgiana-Sinziana Pauca Constantin-Florin Caruntu Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania Safety and Motion Continental Automotive Romania Iasi Romania Software and Central Technologies Continental Automotive Romania Iasi Romania

The development, enhancement, and integration of intelligent functionalities aimed at automating vehicles are increasingly becoming a fundamental aspect of modern life. There is a growing emphasis on improving the everyday driving experience and reaping the benefits that these advanced cars offer. In light of these advancements, this study proposes a novel method for extracting trajectories, which serves as a valuable tool in implementing and evaluating complex algorithms and functionalities. Obtaining a real trajectory enables the observation of how a vehicle moves along a given road. Moreover, the extracted trajectory can also facilitate the development of additional functionalities such as lane keeping, velocity profile, and other advanced techniques. This multifaceted approach allows for the exploration and refinement of various intelligent systems, ultimately contributing to the overall improvement of autonomous driving capabilities. The proposed method of trajectory extraction opens up new possibilities for advancing the field, providing a solid foundation for implementing and evaluating intricate algorithms. Through the utilization of real trajectories, valuable insights into vehicle behavior can be gained, which can further enhance the performance of autonomous vehicles.

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Continual Learning of a Time Series Model Using a Mixture of HMMs with Application to the IoT Fuel Sensor Verification 18

Continual Learning of a Time Series Model Using a Mixture of...

引用

18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023

作者： Glomb, Przemyslaw Cholewa, Michal Foszner, Pawel Bularz, Jakub Institute of Theoretical and Applied Informatics Polish Academy of Sciences Batycka 5 Gliwice44-100 Poland Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland Aiut Sp. Z O.o. ul. Wyczókowskiego 113 Gliwice44-109 Poland

ISBN: (纸本)9788396744784

This paper presents an application of a mixture of Hidden Markov Models (HMMs) as a tool for verification of IoT fuel sensors. The IoT fuel sensors report the level of fuel in tanks of a petrol station, and are a key component for monitoring system reliability (billing), safety (fuel/oil leak detection) and security (theft prevention). We propose an algorithm for learning a mixture of HMMs based on a continual learning principle, i.e. it adapts the model while monitoring a sensor over time, signalling unexpected or anomalous sensor reports. We have tested the proposed approach on a real-life data of 15 fuel tanks being monitored with the FuelPrime system, where it has shown a very good performance (average area under ROC curve of 0.94) of detecting anomalies in the sensor data. Additionally we show that the proposed method can be used for trend monitoring and present qualitative analysis of the short and long term learning performance. The proposed method has promising performance score, the resulting model has a high degree of explainability, limited memory and computation requirements and can be easily generalized to other domains of sensor verification. © 2023 Polish Information Processing Society.

关键词： Hidden Markov models

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An open source benchmark simulator for sustainable and flexible pharmaceutical manufacturing 28

An open source benchmark simulator for sustainable and flexi...

引用

28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Copot, Dana Caruntu, Constantin Florin Portier, Christoph De Keyser, Robin Ionescu, Clara Mihaela Ghent University DYSC Research Group Flanders Make EEDT Core Lab Tech Lane Science Park 125/131 Ghent9052 Belgium Gheorghe Asachi Technical University of Iasi Dept. of Automatic Control and Applied Informatics Str. Prof. D. Mangeron 27 Iasi700050 Romania Ghent University Department of Pharmaceutics Ottergemsesteenweg 460 Ghent9000 Belgium

ISBN: (纸本)9798350339918

Stimulated by Pharma 4.0, pharmaceutical industry is undergoing a transition from batch to continuous manufacturing (CM). There are manifold of benefits of continuous tablets production such as: increased product quality;improved efficiency;reduced production costs. Even more, CM could accelerate the product development resulting in faster delivery of medicine to patients, and this without affecting product quality. To exploit the advantages of CM, the mainly separated process units need to be integrated to form end-to-end systems from raw material to final product. Such integration requires a deep understanding and a holistic approach toward process development and optimization. In this paper, a feasibility study of using model predictive control for the multi-variable process of tablet production is presented. The simulations have been performed on a novel and unique simulation environment where the main unit processes involved in the manufacturing of tablets are implemented. Preliminary results indicate that the proposed methodology is feasible and implementable on the benchmark simulation. © 2023 IEEE.

关键词： Model predictive control

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Cyber-Physical Systems-based Architecture for Signalized Traffic Corridors: Monitoring and Synchronized Coordination 23

Cyber-Physical Systems-based Architecture for Signalized Tra...

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

作者： Caruntu, Constantin F. Militaru, Andreea V. Comsa, Ciprian R. Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania Department of Telecommunications and Information Technologies Gheorghe Asachi Technical University of Iasi Iasi Romania Continental Automotive Romania Iasi Romania

ISBN: (纸本)9781665439398

Urbanization generates huge consequences regarding the mobility of people and goods, and cities became critically reliant on their transportation systems. Inadequacies of transport systems lead to delays, increased costs, frustration, pollution and reduced health. Effective network and traffic management solutions are needed, but such intelligent and mobility information systems deployment is often delayed due to barriers and uncertainties. As such, a system to increase in real-time the safety and at the same time to ensure an optimized flow of vehicles through signalized and intersected traffic corridors is still needed. Although different solutions exist for parts of the problem, there still lacks a solution that tackles it completely in a systematic manner. This paper proposes a cyber-physical systems-based architecture that encompasses an application in signalized traffic corridors based on sensor object detection, powerful sensor-data fusion algorithms to generate the environment model and broadcast of relevant information to the involved traffic participants. For the latter, dedicated wireless communication links are considered between the intersections, between the infrastructure in the intersection and vehicles, and between the vehicles, to protect against collisions with vulnerable road users and other traffic participants. The technology detects road users within a 360° perimeter of intersections and communicates the position and movement of these users to all approaching vehicles, which are equipped with the vehicle-to-everything (V2X) technology. Moreover, the solution is able to support drivers in complex intersection traffic scenarios like preventing left-turning cars from running head-on into traffic that approaches from behind an occlusion. © 2021 IEEE.

关键词： Cyber Physical System

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An open source benchmark simulator for sustainable and flexible pharmaceutical manufacturing

An open source benchmark simulator for sustainable and flexi...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Dana Copot Constantin Florin Caruntu Christoph Portier Robin De Keyser Clara Mihaela Ionescu DYSC Research Group Flanders Make EEDT Core lab Ghent University Ghent Belgium Dept. of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania Department of Pharmaceutics Ghent University Ghent Belgium

Stimulated by Pharma 4.0, pharmaceutical industry is undergoing a transition from batch to continuous manufacturing (CM). There are manifold of benefits of continuous tablets production such as: increased product quality; improved efficiency; reduced production costs. Even more, CM could accelerate the product development resulting in faster delivery of medicine to patients, and this without affecting product quality. To exploit the advantages of CM, the mainly separated process units need to be integrated to form end-to-end systems from raw material to final product. Such integration requires a deep understanding and a holistic approach toward process development and optimization. In this paper, a feasibility study of using model predictive control for the multi-variable process of tablet production is presented. The simulations have been performed on a novel and unique simulation environment where the main unit processes involved in the manufacturing of tablets are implemented. Preliminary results indicate that the proposed methodology is feasible and implementable on the benchmark simulation.

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Assessment of control Efficiency in a Vehicle Platooning Application

Assessment of Control Efficiency in a Vehicle Platooning App...

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European control Conference (ECC)

作者： Anca Maxim Ovidiu Pauca Constantin F. Caruntu Department of Automatic Control and Applied Informatics Blvd. D. Mangeron no. 27 “Gheorghe Asachi” Technical University Iasi Iasi Romania Continental Automotive Romania Software and Central Technologies Blvd. Poitiers no. 6 Iasi Romania

In this paper we propose a comparative analysis of control efficiency for several methods suitable for a vehicle platooning application. To this end, we compare the results obtained with both Distributed Model Predictive control strategy and Coalitional control using an optimal feedback gain matrix control methodology. The string stability of the platoon is ensured via an infinity-norm longitudinal error constraint imposed in the optimization problem. Our results suggest that both control strategies give similar control performances, at different computational efforts

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Neural network developed for obstacle avoidance of the four wheeled electric vehicle

Neural network developed for obstacle avoidance of the four ...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Grazia Lo Sciuto Paweł Kowol Paweł Nowak Wacław Banás Salvo Coco Giacomo Capizzi Department of Mechatronics Silesian University of Technology Gliwice Poland Department of Electrical Electronics and Informatics Engineering University of Catania Catania Italy Department of Automatic Control and Robotic Silesian University of Technology Gliwice Poland Department of Mathematics Applications and Methods for Artificial Intelligence Faculty of Applied Mathematics Silesian University of Technology Gliwice Poland

Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network.

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Travel Time Minimization at Roundabouts for Connected and Automated Vehicles 25

Travel Time Minimization at Roundabouts for Connected and Au...

引用

25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020

作者： Pauca, Ovidiu Caruntu, Constantin F. Gheorghe Asachi Technical University of Iasi Department of Automatic Control and Applied Informatics Iasi Romania Continental Automotive Romania Iasi Romania

ISBN: (纸本)9781728189567

The results obtained so far from the industry and academia illustrate that fully automated vehicles are increasingly closer to be deployed in series on the roads, but they need to be connected between them and with the infrastructure for optimal performances. The roundabout type of intersection contributes to decreasing the number of accidents, but it's performance is reduced when the traffic volume increases. In this case, the intersection becomes an area of bottlenecks. To minimize the travel time of connected and automated vehicles through roundabouts by reducing the waiting time before entering it, in this paper, a centralized controller for a roundabout was proposed. It has the task of computing and sending the waiting time for the vehicles that want to travel through the intersection such that the total time to traverse it is minimized and the collisions are avoided. © 2020 IEEE.

关键词： Travel time

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Development of high performance computing systems 27th

Development of high performance computing systems

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27th International Conference on Computer Networks, CN 2020

作者： Kozielski, Stanislaw Mrozek, Dariusz Department of Applied Informatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783030507183

The aim of the work is to present the development trends of high performance computers. The analysis focused on system architecture, processors and computing accelerators used. Particular attention was paid to interconnection networks, connecting system nodes. The problem of energy saving in the construction of large systems was also discussed. The data from the list of 500 largest computer systems was used in the analysis. © Springer Nature Switzerland AG 2020.

关键词： Energy conservation

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Continual Learning of a Time Series Model Using a Mixture of HMMs with Application to the IoT Fuel Sensor Verification

Continual Learning of a Time Series Model Using a Mixture of...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Przemysław Głomb Michał Cholewa Paweł Foszner Jakub Bularz Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice Poland Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland AIUT Sp. z o.o. ul Gliwice Poland

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