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

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Distributed Model Predictive control Algorithm with Communication Delays for a Cooperative Adaptive Cruise control Vehicle Platoon

Distributed Model Predictive Control Algorithm with Communic...

引用

Mediterranean Conference on control and Automation (MED)

作者： Anca Maxim Corneliu Lazar Constantin F. Caruntu Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9781728157429

ISBN: (纸本)9781728157436

This paper proposes a distributed model predictive control (DMPC) strategy with known delays in the communication network. The algorithm is suitable for a vehicle platooning application in the cooperative adaptive cruise control (CACC) framework. All the platoon vehicles are connected in a uni-directional wireless communication network. The simulation results for a five-vehicle platoon show that the DMPC optimization problem can successfully accommodate for the communication delays, while a velocity-dependent inter-vehicle spacing-policy for the follower vehicles is used.

关键词： Delays Optimization Trajectory Mathematical model Computational modeling Cruise control Current measurement

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Neural network and fuzzy membership functions based edge detection for digital images

Neural network and fuzzy membership functions based edge det...

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

作者： Constantina Raluca Mihalache Mitica Craus Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

Edge detection is an important problem in image processing. This was extensively studied in recent years. In this paper artificial feedforward neural networks are used for identifying edges in gray-scale images. Supervised learning based on the gradient descent algorithm is used. A new method is proposed for neural network training patterns using fuzzy concepts. Fuzzy membership functions are used for improving the generalization capability of neural network. Edge detection in noisy images without applying a noise removal technique poses a difficult problem. The proposed method obtained successful experimental results for digital images. The advantage of our approach is that we use the trained neural network as a filter on both noisy and noise free images.

关键词： Image edge detection Biological neural networks Noise Training Noise measurement Gray-scale Neurons

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Optimal implementation of an integer divider using multifunctional registers with decoded control inputs

Optimal implementation of an integer divider using multifunc...

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

作者： Alexandru Valachi Mihai Grigore Timis Calin Mircea Monor Automatic Control and Computer Engineering Faculty Technical University “Gh.Asachi” Iasi Romania

The authors propose a new optimal method for the implementation of an integer division sequential algorithm using multifunctional registers (MFR) with decoded control inputs, based on transfer matrix method. The implementation cost is calculated emphasizing the most economical solutions. Low cost means less power consumed - green architectures, the CPU FPU logic core is much faster and the responses timing are short. The modern design tools handle digital systems with many outputs and represent them by cubes, for efficiency reasons. Talking as optimal, the implementation of the digital automaton can be reduced to a combinatorial one: synthesis using logic gates primitives and using floor planning design. The digital logic network that generates the control signals of the Finite State Machine (FSM) can be synthesized using the transfer matrix.

关键词： Registers Automata Algorithm design and analysis Hardware Classification algorithms Loading computer architecture

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Time-triggered CANopen implementation for networked embedded systems

Time-triggered CANopen implementation for networked embedded...

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

作者： Mihai Postolache Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (纸本)9781509027217

Networked embedded systems using event triggered communication are widely used in industry. While the bus load increases, the transmission of the lower priority messages may experience variable delays (jitter) or even may be unable to be transmitted. Even at maximum load, the transmission of such messages has to be guaranteed and the delivery time has to be determined with high precision. CANopen is an industrial event-driven network based on controller Area Network (CAN) protocol at the physical and data link communication levels. A time-triggered software extension of CANopen based on Time-Triggered CAN is described in this paper, as well as its implementation on an embedded networked system based on microcontrollers.

关键词： Protocols Synchronization Real-time systems Heart beat Embedded systems Jitter

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Scorewriter application with features aimed at Byzantine music processing

Scorewriter application with features aimed at Byzantine mus...

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

作者： Petru Dimitriu Vasile-Ion Manta Faculty of Automatic Control and Computer Engineering Technical University of Iaşi Iaşi Romania

Byzantine music represents a vast and complex musical tradition which precedes contemporary Western music. Nowadays, it is used mostly within Eastern Christian churches. Few computer software applications deal with Byzantine music and the imperfect command of Byzantine music theory among singers often requires parallel classical notation staves. A software application written in C++ has been written, which enables the user to write simple musical scores using standard notation, as well as Byzantine music compositions using a subset of the specific Byzantine notation. The application can be used to produce transcriptions of Byzantine-notation compositions into their classical notation counterparts. Extensive data structures and algorithms for containing and manipulating the data, as well as interacting with the computer user, have been developed. Additionally, the application offers some serialization capabilities, as well as preliminary support for pitch tracking. By offering the functionality described above, the application is an example of modern technology being used to preserve cultural heritage.

关键词： Music Standards Data structures Software Libraries C++ languages User interfaces

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Novel Image Steganography Algorithm Using Two Hidden Thresholds

Novel Image Steganography Algorithm Using Two Hidden Thresho...

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

作者： Alexandru-Gabriel Tudorache Vasile Manta Simona Caraiman Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University Iași Romania

ISBN: (数字)9781728198095

ISBN: (纸本)9781728198101

This paper describes a novel image steganography algorithm, with the central idea being the use of two hidden thresholds. By implementing the described method, various types of information (sub-images, numbers, symbols) can be hidden inside a usual image. The article presents how to apply this procedure for a gray image: after recovering the two threshold values, hidden inside the least significant bit of each of the first 16 pixels on the edges, an image can be processed by comparing the gray level to the threshold levels (making sure the gray level is between the thresholds) and thus reveal the secret message. The algorithm can be extended to different types of data and image representations and could also suggest another method of embedding metadata inside an image, such as the time of download, the original website from where it was downloaded or information on its author, etc.

关键词： Image edge detection Gray-scale Protocols Image color analysis computer science Indexes Image representation

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Manufacturing control Laboratory with an embedded ERP application for educational purposes

Manufacturing Control Laboratory with an embedded ERP applic...

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International Conference on Computational Cybernetics (ICCC)

作者： Stefan Dumbrava Faculty of Automatic Control and Computer Engineering Gheorghe 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 is a complex and challenging task. In the paper, an enterprise application solution that integrates the ERP concept in three- tier architecture with a flexible manufacturing system is presented. It contains modularized, distributed subsystems in configurable and maintainable software. Starting from the customer order, to planned order dispatch, the ERP main components and the information flow within the system is presented. 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： Laboratories Enterprise resource planning Application software control systems Software maintenance computer architecture Flexible manufacturing systems Software architecture Java Transaction databases

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Symmetrical T-network with fractional order elements

Symmetrical T-network with fractional order elements

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Maciej Włodarczyk Jarosław Szczepaniak Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland

The paper presents a symmetrical T-network utilizing fractional order elements. Fractional calculus was used for its modeling. A comparative analysis of a classic T-network and fractional order T-network step response... 详细信息

关键词： Transfer functions Fractional calculus Integrated circuit modeling Computational modeling RLC circuits Laplace equations

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Learning to Count with Cell Assemblies: A Neuro-Symbolic Approach

Learning to Count with Cell Assemblies: A Neuro-Symbolic App...

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

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

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

Recent advancements in artificial intelligence have led to significant results in various domains, including image classification, natural language processing, and mastering complex games. However, current deep neural networks seem to process information differently from humans. Neuro-symbolic methods may offer a promising solution to address this concern. This paper proposes a preliminary cognitive architecture focused on neural cell assemblies, which can combine the adaptability of neural approaches with the explicit reasoning capabilities of symbolic systems. It presents a case study on learning to count, and highlights mechanisms for learning, generalization, and adaptation based on predictive errors.

关键词： Training Neuroscience Microprocessors Transfer learning Symbols Psychology computer architecture Biology Planning Assembly

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Predicting the Time from Diagnosis to Treatment in Breast Cancer

Predicting the Time from Diagnosis to Treatment in Breast Ca...

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E-Health and Bioengineering Conference (EHB)

作者： Sergiu Ceică Ştefan-Daniel Achirei Dept. of Computer Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Recent advancements in machine learning (ML) have significantly impacted the medical field, particularly in diagnosing and treating breast cancer. This study models the time from diagnosis to treatment for breast cancer patients, focusing on delay factors and ML-based solutions. The goal is to develop precise ML models that predict treatment delays, thereby improving the quality and efficiency of medical services. We investigated socio-economic disparities affecting treatment access and developed models to predict these delays. The predictive models used include K-Nearest Neighbors, Decision Trees, Linear Regression, and Boosting Algorithms such as AdaBoost and Gradient Boosting Regressor. By accurately predicting the interval from diagnosis to the first treatment, our work aims to promote equity in healthcare, ensuring timely treatment for all patients. Our findings highlight the potential of ML in optimizing treatment timelines and resource allocation, contributing to improved patient outcomes and advancing the medical system.

关键词： Medical services Predictive models Boosting Prediction algorithms Breast cancer Delays Resource management Socioeconomics Medical diagnostic imaging Regression tree analysis

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