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检索条件"机构=Automatic Control and Computer Science"

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Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology

Analog, Programmable Switched Capacitor FIR Filter Based on ...

引用

Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Paweł Pawłowski Rafał Długosz Marek Radkowski Mateusz Wątły Adam Dąbrowski Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Signal Processing and Electronic Systems Poznań University of Technology Poznań Poland Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland

The paper presents project and its verification of a prototype integrated circuit containing an analog, programmable finite impulse response (FIR) filter, implemented in CMOS 350 nm technology. The structure of the filter is based on the switched capacitor technique. In circuits of this type, one of main challenges is an efficient implementation of filter coefficients, which result from several factors described in this work. When implementing such filters as programmable circuits, the values of their coefficients have to be limited to a selected range, i.e. a given resolution in bits. In the implemented prototype filter, the filter coefficients are represented by 6 bits in sign-magnitude notation, so they can take 63 different values only. In such filters, it is not possible to directly implement any frequency response of the filter. Each time, it is necessary to properly round the theoretical values of the coefficients so that they fit into the available range of discrete values resulting from the implementation. The authors of the work designed an algorithm that allows such matching. The paper also presents results of measurements of the prototype chip.

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Resilient Angle Stabilization in Converter-Interfaced Microgrids

Resilient Angle Stabilization in Converter-Interfaced Microg...

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European control Conference (ECC)

作者： Mahmood Jamali Mahdieh S. Sadabadi Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom

This paper focuses on the problem of resilient phase angle stabilization and frequency synchronization in converter-based microgrids, utilizing phasor measurement units (PMUs), in the presence of false data injection (FDI) cyberattacks. The uniformly bounded cyber-attack signals are inserted to desynchronize converters and violate frequency constraints by manipulating control input channels. To tackle this issue, a resilient and robust cooperative angular control scheme is proposed by modifying the conventional angular control method and incorporating some auxiliary states interconnecting with physical states. By presenting the converter dynamics along with the proposed controller as a port-Hamiltonian (pH) system, the design considerations of the interconnection matrices are outlined. Theoretical analysis using input-output passivity and $H_{\infty}$ norm performance index are carried out to guarantee asymptotic stability and resilient frequency synchronization against FDI attacks. The performance and effectiveness of the proposed control scheme are evaluated through numerical simulations

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Evaluation of Neurological Disorders in Isokinetic Dynamometry and Surface Electromyography Activity of Biceps and Triceps Muscles 23rd

Evaluation of Neurological Disorders in Isokinetic Dynamom...

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Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, PCBEE 2023

作者： Roksela, Anna Poświata, Anna Śmieja, Jaroslaw Kozak, Dominika Bienias, Katarzyna Ślaga, Jakub Mikulski, Michal Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland EGZOTech Sp. z o.o. Gliwice44-100 Poland Department of International Learning Centre Wellness Progressive Group Ltd. 63/66 Hatton Garden Fifth Floor Suite 23 LondonEC1N 8L United Kingdom

ISBN: (纸本)9783031384295

Diagnosing neurological disorders and tracking rehabilitation progress requires objective, quantitative measures. Isokinetic exercises are commonly employed to evaluate muscle strength and activity. However, repetitive, quantitative assessment of the tests performed during these exercises can be difficult, especially for patients with neurological disorders. Usually, either dynamometric or sEMG measurements are used. This study is concerned with the evaluation of the applicability and reliability of these two measurement techniques, based on analysis of elbow flexion and extension supported by the Luna EMG rehabilitation robot, aimed at the evaluation of the activity of the biceps and triceps muscles. Dynamometric and surface electromyography measurements are compared with respect to their repeatability between sessions and days, and their ability to differentiate impaired limbs from healthy ones. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Muscle

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Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning

Microservice Deployment for Satellite Edge AI Inference via ...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Zhiyong Yu Hei Victor Cheng Zhanpeng Yang Xin Liu Yuning Jiang Yong Zhou Yuanming Shi School of Information Science and Technology ShanghaiTech University Shanghai China Department of Electrical and Computer Engineering Aarhus University Denmark Automatic Control Laboratory École Polytechnique Fédérale de Lausanne (EPFL) Switzerland

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

Artificial intelligence (AI) is critical in evolving 5G and developing 6G networks, running on edge devices, and solving resource management challenges. The burgeoning number of edge devices draws attention to the potential of low-earth orbit (LEO) satellite networks with their onboard computing capabilities for edge inference. This paper explores LEO scenarios where multiple remote sensing edge AI inference tasks concurrently process data from a single source. However, due to there being parts with the same functions between different AI applications, traditional monolithic edge AI architecture must be deployed repeatedly and falls short in efficiently harnessing the heterogeneous resources of LEO satellite networks. To solve this problem, we utilize the microservice architecture to decouple a single AI application into several independent microservices to reuse these same functions. However, due to the high latency caused by multiple microservices’ communication, we need to design a deployment strategy to fully utilize resources to reduce the service latency. We present a microservice deployment model to minimize the total service latency across all AI applications and meet resource constraints with the constraints of hardware, energy, and memory limitations. This latency optimization problem is rewritten as a Markov decision process (MDP) to effectively deal with the challenge posed by the time-varying transmission rate caused by satellite mobility. To increase the training data utilization, we employ a Proximal Policy Optimization (PPO) based reinforcement learning algorithm to meet the dynamic environment challenge. Finally, we obtain a sub-optimal solution with minimal accuracy loss and an acceptable solution time.

关键词： Satellites Accuracy Heuristic algorithms Satellite broadcasting Microservice architectures Low earth orbit satellites Edge AI computer architecture Resource management Optimization

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Making children read more and better by integrating natural language processing and gamification techniques into mobile applications

Making children read more and better by integrating natural ...

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International Conference on control Systems and computer science (CSCS)

作者： George Cătălin Voicu Sorin N. Ciolofan Monica Drăgoicea Manager eMAG Bucharest Romania Department of Computer Science Politehnica University of Bucharest Bucharest Romania Department of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania

It is well known that nowadays children tend to spend lot of time playing games on mobile devices at the expense of reading books. The current research aims to explore ways to design and develop a mobile application, attractive for children, that uses voice recognition technology and gamification techniques to help children read more and better and to track the progress of reading. The application is implemented with Flutter, Dart and Firebase and is addressed to children, the books being made available in encyclopedia format. By integrating technologies such as NLP and gamification the application aims to improve reading fluency among children, but also to give them the opportunity to accumulate new and exciting information in the same time.

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Software-defined event-based camera and vision algorithms for digitizing highly dynamic manufacturing tasks

Software-defined event-based camera and vision algorithms fo...

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2024 Low-Cost Digital Solutions for Industrial Automation, LoDiSA 2024

作者： Walker, Emily Turner, Christopher J. Oyekan, John Department of Automatic Control & Systems Engineering The University of Sheffield SheffieldS1 3JD United Kingdom Surrey Business School The University of Surrey Surrey GuildfordGU2 7XH United Kingdom Real Time & Distributed Systems Group Department of Computer Science University of York Heslington YorkYO10 5GH United Kingdom

ISBN: (纸本)9781837242672

Event-based cameras are inspired by the way the retina in the eye process information. Rather than capturing image frames at a constant rate, event cameras generate data asynchronously, based on changes in pixel value between frames. As a result, these cameras have a high spatiotemporal accuracy, low power constraints and reduced artefacts from motion blur. Hence, they represent favourable properties for digitizing highly dynamic manufacturing tasks such as machine vibrations and rapid human assembly actions. However, the costs of event-based cameras are prohibitively high for small to medium sized enterprises (SMEs). In this research, we present the development of a rig that combines low-cost visual sensors with low-cost algorithms to perform action recognition for highly dynamic manual manufacturing tasks. We applied our algorithms to achieve an action classification system via a novel threshold-based approach and in parallel use a neural network to perform classification of objects in the video feed. The results achieved demonstrated that our approach was able to successfully identify various rapid manual tasks being performed on identified objects. In addition to SMEs, our approach would be suited for providing low-cost digitization on legacy machines. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/).

关键词： Machine vibrations

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Attitude Dynamics Modelling: Fractional Consensus Approach

Attitude Dynamics Modelling: Fractional Consensus Approach

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IEEE Conference on Decision and control

作者： Jerzy Baranowski Waldemar Bauer Karolina Dukała Dorota Mozyrska Małgorzata Wyrwas Department of Automatic Control and Robotics AGH University of Science & Technology Kraków Poland SWPS University of Social Sciences and Humanities Katowice Poland Faculty of Computer Science Bialystok University of Technology Bialystok Poland

In this paper we propose a consensus model using fractional calculus, which is an emerging topic in multi-agent modeling. Fractional models have infinite memory and can be understood as a relatively simple extension of traditional calculus. We propose a model structure motivating it by psychological research. For such model we also provide a stability analysis allowing results on possibilities of consensus arising in the modelled group of agents. To achieve this, we use fractional difference equations, which illustrate our considerations for agent groups of increasing complexity.

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Web Data Management Platform Integrating Encryption Algorithms 13

Web Data Management Platform Integrating Encryption Algorith...

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13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Dinca, Alexandru Angelescu, Nicoleta Popescu, Dan University POLITEHNICA of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania

ISBN: (纸本)9781665425346

The development area of web technologies has gained great popularity due to the power with which these new technologies can manage resources and due to developers or experts of various types who can build applications and scale them according to the needs of different application areas or companies which use these types of applications. In this paper we present a modern web platform for data management that includes current web technologies and security standards that ensure the integrity of data in the information flow of the application. © 2021 IEEE.

关键词： Information management

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Cooperative Task Allocation of Multiple VA Vs Based on Greedy Algorithm 4

Cooperative Task Allocation of Multiple VA Vs Based on Greed...

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4th IEEE International Conference on computer and Communication Engineering Technology, CCET 2021

作者： Chen, Yuheng C., Du J., Chen W., Yu Northwestern Poly Technical University Department of Computer Science Xi' an China North Automatic Control Technology Institute Department of Software System Development Taiyuan030000 China

ISBN: (纸本)9781665438902

Multiple VAVs can perform certain large-scale tasks by constructing VA V clusters in practical applications since its excellent performance such as strong operability and composability. However, it is difficult to determine the specific execution of each drone before performing the cluster task in a cluster composed of multiple drones. This paper studies the task assignment problem under the constraint of multi-VA V cooperative flight, and proposes a task planning algorithm based on the shortest flight path or time optimal under the condition of ensuring the cooperative flight between VAVs. The algorithm combines the directed graph in graph theory to represent the cooperative flight constraint relationship between tasks, and adopts the breadth-first search strategy to realize the traversal assignment of tasks. During the assignment process, according to the greedy algorithm, the tasks are locally optimally allocated to obtain the approximate optimal solution. Finally, a simulation experiment is performed on the constructed task scene to verify the effectiveness of the algorithm. © 2021 IEEE.

关键词： Drones

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BDCP: An Improved Nested Named Entity Recognition Model Based on LSTM 6

BDCP: An Improved Nested Named Entity Recognition Model Base...

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6th IEEE International Conference on Data science in Cyberspace, DSC 2021

作者： Zhou, Ling Luan, Tianjiao Yao, Na Li, Jianming Ding, Jie School Of Computer Science Guangzhou University Guangzhou China China Academy Of Launch Vehicle Technology Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9781665418157

In construction of knowledge graphs (KGs), named entity recognition (NER) is a sub-task to identify the boundaries of entities with special meaning and predict their categories in texts. The instance that an entity contains one or more entities is called nested entity. The current work on NER usually ignores the nested NER. We propose an improved model named Boundary Detection and Category Prediction (BDCP) for Nested NER. Our model uses LSTM to extract the contextual features of the sequence, and uses boundary detection unit to mark the boundaries of entities in the text. By introducing boundary detection unit, our model extracts the boundaries of entities and restrict the number of candidate entities. We also design a layer-by-layer decoding module by boundary detection unit for Nested NER. Experiments on Nested NER datasets named GENIA [1] demonstrate the effectiveness of our model on nested NER. © 2021 IEEE.

关键词： Knowledge graph

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