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检索条件"机构=Faculty of Automatic Control and Computer Engineering"

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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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第25届中国控制会议

作者： Dumbrava Stefan “Gh．Asachi”Technical University of lasi Faculty of Automatic Control and Computer Engineering Iasi 700050Romania

＜正＞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： computer-integrated enterprises Manufacturing systems control engineering Conceptual representation Software engineering

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A Secure Real Estate Transaction Framework Based on Blockchain Technology and Dynamic Non-Fungible Tokens

A Secure Real Estate Transaction Framework Based on Blockcha...

引用

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

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

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

The real estate market, as an engine of economic growth, directly affects both financial stability and the development of communities at local and global levels. Nevertheless, it faces significant challenges, ranging from complex legislative processes and bureaucratic inefficiencies to fraud risks and high costs. Addressing these issues requires a paradigm shift to improve efficiency and transparency in this sector. The proposed solution aims to integrate emerging technologies such as blockchain and smart contracts to secure transactions and create a tamper-proof digital history. The implementation of dynamic non-fungible tokens (dNFTs) facilitates property transfers and digitally models real estate assets. A novel communication protocol and store policy are proposed for storing real estate information on the blockchain network and on decentralized storage so that the digital token representing the property can change based on external factors, e.g., change in ownership, actual updates being done on the property, or an update in valuation. The proposed framework ensures trustworthiness, transparency, traceability and security, while providing a flexible architecture with the main system components, including ways to model, update, list and buy a real estate property.

关键词： Solid modeling Costs Metaverse Biological system modeling Smart contracts Virtual reality Aerodynamics Stability analysis Nonfungible tokens Time factors

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

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

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

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

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.

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The comparative study of two analytical methods for detection and elimination of the static hazard in Combinational Logic Circuits

The comparative study of two analytical methods for detectio...

引用

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

作者： Alexandru Valachi Bogdan I. Aignătoaiei Mihai G. Timiş Automatic Control and Computer Engineering Faculty of the Technical University Gheorghe Asachi of Ia&i Iasi Romania

In this paper, the authors do a comparative study of two methods to eliminate the static hazards from logical functions. The first method consists in determining the coupled terms and getting the term that masks the static hazards, and the second method consists in determining the masking additional term by solving a system of Boolean equations. From the presented examples, the authors deduced that the 2 nd method (solving a Boolean equations system) is more advantageous because it eliminates the heuristic nature of the first method (the determination of coupled terms) and, by solving the equations system it determines all prime implicants that needs to be added to the function's expression.

关键词： Hazards Equations Logic functions Combinational circuits Noise Steady-state Companies

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Travel Planning Optimization System Employing Genetic Algorithms with Multiple Parameters

Travel Planning Optimization System Employing Genetic Algori...

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

作者： Iuliana-Elena Rusu Adrian Alexandrescu Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

Many people around the world enjoy traveling as a popular leisure activity. The process of trip planning can be time-consuming, requiring travelers to choose between various options and make decisions based on their preferences and *** paper addresses the tourist trip design problem by proposing a Travel Planning Optimization System (TPOS), which includes an architecture that employs genetic algorithms to streamline travel planning. The paper’s novelty lies in considering numerous travel factors, such as duration of visits, travel time, preferred types of locations, operating hours, destination popularity and the scheduling of places to eat in the daily program, into a single metric. This approach holds great promise in transforming travel planning by providing customized experiences that closely match the unique preferences and interests of each traveler, while using real location-related information in determining an efficient multiple-day itinerary.

关键词： Measurement Processor scheduling Roads Systems architecture control systems Scheduling Planning Optimization Genetic algorithms Meteorology

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Cloud-based Architecture for Deploying a Distributed Ambient Assisted Living Environment

Cloud-based Architecture for Deploying a Distributed Ambient...

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

作者： Nicolae Botezatu Adrian Alexandrescu Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iaşi Iaşi Romania

Ambient Assisted Living (AAL) is starting to become the norm as more and more smart devices and sensors are installed in people’s homes. This is an important aspect in improving the quality of life, especially for the elderly and for people with *** solution presented in this paper approaches this paradigm in a large scale deployment context, as it proposes an AAL architecture on three layers (Edge, Dew, and Cloud), which is capable of handling high amount of sensor data in near realtime. Using a distributed system of rules engines, the system is able to take actions based on the acquired data. An important novel concept is the “new home deployment”, which facilitates the integration of the devices from a new installation site - the software setup of the new edge infrastructure is done by using a dedicated Cloud service. In order to showcase the practicality and efficiency of the architecture, this paper presents the intricacies of the employed services and service-interaction when deploying the solution on the OpenStack Cloud platform.

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Constrained State-Feedback control of an Externally Excited Synchronous Machine

Constrained State-Feedback Control of an Externally Excited ...

引用

Mediterranean Conference on control & Automation

作者： Sabin - Constantin Carpiuc Mircea Lazar Faculty of Automatic Control and Computer Engineering Technical University "Gheorghe Asachi" of Iasi Department of Electrical Engineering Eindhoven University of Technology

ISBN: (纸本)9781479909964

State-feedback control of externally excited synchronous machines employed in applications such as hybrid electric vehicles and full electric vehicles is a challenging problem. Indeed, these applications are characterized by fast dynamics that are subject to hard physical and control constraints. The goal of this paper is to provide a controller synthesis method that can answer these challenges effectively. To this end, firstly, a linear control law is obtained for the unconstrained dynamics via a standard control Lyapunov function (CLF), along with an admissible basin of attraction. Then, a piecewise affine control law defined on a cubic partition of the state-space is obtained for the constrained dynamics via a flexible CLF. An a posteriori test for checking stability and invariance of a set of initial conditions for the resulting closed-loop dynamics is also proposed. The effectiveness of the developed synthesis method is demonstrated in a realistic simulation scenario.

关键词： state feedback control synchronous machines feedback control region of attraction chlorofibre Hybrid electric vehicles Peptide Synthesis Technique Organic Synthesis Techniques Inorganic Synthesis Techniques control law invariance dynamics INITIAL CONDITIONS all-electric

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Deep Learning-Based Retinal Blood Vessel Segmentation Using U-Net Architecture

Deep Learning-Based Retinal Blood Vessel Segmentation Using ...

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E-Health and Bioengineering Conference (EHB)

作者： Ligia-Gabriela Boazu Marian-Alexandru Petraru Otilia Zvorișteanu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iași Iași Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Retinal blood vessel segmentation is an essential component in the diagnosis and monitoring of various ophthalmological conditions, such as diabetic retinopathy, glaucoma or macular degeneration, providing valuable information about the state of blood vessels and ocular blood circulation. Traditional methods for segmenting blood vessels from retinal images present certain limitations in terms of accuracy and robustness, especially under variable lighting conditions, the presence of artifacts or low-quality images. However, current techniques based on convolutional neural networks have demonstrated the ability to achieve precise and robust segmentations in a variety of conditions, outperforming traditional methods. Nevertheless, neural networks face challenges regarding the limited availability of retinal image datasets necessary for training and evaluating these solutions. In this paper we describe a solution for retinal blood vessel segmentation using the U-Net architecture. This neural network achieves impressive results even with very small datasets, demonstrating the efficiency and robustness of the U-Net architecture for retinal blood vessel segmentation.

关键词： Training Macular degeneration Image segmentation Neural networks Blood vessels Network architecture Retina Robustness Monitoring Biomedical imaging

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Enhancing Learning and Therapy for Children with Autism: Innovative Activities with the NAO Robot

Enhancing Learning and Therapy for Children with Autism: Inn...

引用

E-Health and Bioengineering Conference (EHB)

作者： Iustina-Bianca Bulai Otilia Zvorişteanu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Worldwide, autism affects 1 in 100 children, with diagnoses steadily rising since the 2000s. Romania lacks official statistics on autism prevalence, but global estimates suggest similarity. Children with autism struggle with social interactions and verbal communication, prompting interest in social robots for therapy and education. Tailored robot-assisted sessions offer potential for cognitive development, vocabulary enhancement, social interaction, and behavioral stimulation like concentration and attention. The NAO robot's user-friendly design, technical capabilities, and integrated features make it well-suited for these purposes. This paper presents activities that exemplify the concept of “learning through play,” allowing children to engage in exploration, experimentation, and effective learning in an enjoyable manner.

关键词： Autism Vocabulary Hospitals Social robots Education Biomedical engineering

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Vertical Take-Off and Landing fixed-wing designed for autonomous missions

Vertical Take-Off and Landing fixed-wing designed for autono...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Krzysztof Lewandowski Jakub Tomczak Jakub Zeifert Szymon Nowacki Marcel Król Dawid Rudy Jacek Grzybowski Paweł Piórkowski Roman Czyba Marcin Lemanowicz Piotr Czekalski Department of Automatic Control Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Chemical Engineering and Process Design Faculty of Chemistry Silesian University of Technology Gliwice Poland

This paper presents the design and development of a Vertical Take-off and Landing (VTOL) fixed-wing aircraft intended for autonomous missions. It provides an overview of the current state of VTOL technology and its applications. The paper focuses on fixed-wing VTOL aircraft created by Academic Scientific Association High Flyers from the Silesian University of Technology in Poland. The design process and considerations are discussed in detail, including aerodynamics, selection of materials, hardware, control systems and software. Finally, the paper discusses real-world scenarios that the designed UAV could be used to solve real-world problems, such as targeted plant protection or the deployment of oral vaccines for wildlife. The authors successfully tested solutions presented in the paper during competitions and real practical applications. Overall, this paper provides a comprehensive look into the design and development of a VTOL aircraft for autonomous missions and presents its effectiveness and capabilities in solving real-life problems.

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