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Data Science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Meng Xu Yuanhao Gong Sanja Dogramadzi Department of Automatic Control and Systems Engineering University of Sheffield S10 2TN Sheffield Faculty of Electronics and Information Engineering Shenzhen University

Leveraging the untapped potential of depth information in RGB-D images, this study introduces a deep neural network classifier for advanced body shape classification. Going beyond traditional RGB image analysis, our method innovatively employs multi-task learning, simultaneously performing body shape classification, posture estimation, and body part segmentation to achieve superior accuracy. This approach promises to revolutionize personalization avenues in healthcare, fashion, and entertainment industries, establishing a new benchmark in body shape analysis.

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From Fake to Hyperpartisan News Detection Using Domain Adaptation

arXiv

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arXiv 2023年

作者： Smadu, Razvan-Alexandru Echim, Sebastian-Vasile Cercel, Dumitru-Clementin Marin, Iuliana Pop, Florin University Politehnica of Bucharest Faculty of Automatic Control and Computers Romania University Politehnica of Bucharest Faculty of Engineering in Foreign Languages Romania National Institute for Research Development in Informatics - ICI Bucharest Romania

Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and natural language processing. In the current work, we explore the effects of various unsupervised domain adaptation techniques between two text classification tasks: fake and hyperpartisan news detection. We investigate the knowledge transfer from fake to hyperpartisan news detection without involving target labels during training. Thus, we evaluate UDA, cluster alignment with a teacher, and cross-domain contrastive learning. Extensive experiments show that these techniques improve performance, while including data augmentation further enhances the results. In addition, we combine clustering and topic modeling algorithms with UDA, resulting in improved performances compared to the initial UDA setup. © 2023, CC BY-NC-SA.

关键词： Classification (of information)

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Optimisation-Based Iterative Learning control for Distributed Consensus Tracking

Optimisation-Based Iterative Learning Control for Distribute...

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UKACC International Conference on control (control)

作者： Yueqing Zhang Bin Chen Bing Chu Zhan Shu Faculty of Engineering and Physical Sciences University of Southampton Southampton Department of Automatic Control and Systems Engineering University of Sheffield Sheffield U.K. Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

This paper addresses high-performance consensus tracking of repetitively operating networked dynamical systems using an iterative learning control (ILC) algorithm. It circumvents the need for precise model information in traditional methods and guarantees the high-performance by the predictive framework with a novel performance index that takes into account both current and future performance. The proposed algorithm ensures geometric convergence of the tracking error norm to zero and can be applied to both heterogeneous and non-minimum-phase systems. A distributed implementation of the algorithm is developed using the Alternating Direction Method of Multipliers, with detailed convergence analysis and numerical examples confirming its effectiveness.

关键词： System dynamics Heuristic algorithms Scholarships Predictive models Prediction algorithms Performance analysis Reliability

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line 24

Reducing the energy consumption required for the disassembly...

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24th International Conference on control systems and Computer Science, CSCS 2023

作者： Marius-Adrian, Paun Elena, Dragomir Otilia Florin, Dragomir Stelian, Iliescu Sergiu Eugenia, Minca Octavian Gabriel, Duca Valentin, Gurgu Ion University 'Politehnica' of Bucharest Department of Automation and Industrial Informatics Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania University 'Politehnica ' of Bucharest Faculty of Automatic Control and Computers Bucharest Romania University 'Dunarea de Jos ' of Galati Department of Automation and Electrical Engineering Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9798350313390

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots 'meet' in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global 'fluidization' of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption. © 2023 IEEE.

关键词： Assembly

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EQUILIBRIA AND STABILITY OF ONE MESSENGER RNA AND TWO MICRO RNA DYNAMICS

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2022年第4期84卷 3-8页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

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Deploying blockchain technology for storing digital diplomas 23

Deploying blockchain technology for storing digital diplomas

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

作者： Cernian, Alexandra Vlasceanu, Elena Tiganoaia, Bogdan Iftemi, Alin University Politehnica of Bucharest Faculty of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Faculty of Entrepreneurship Business Engineering and Management Bucharest Romania Modex Ltd Gibraltar Gibraltar

ISBN: (纸本)9781665439398

Blockchain is a booming technology. More and more applications are being developed in the field of banking, security, document storage, smart contracts, etc. This article proposes an exploratory research of blockchain technology and of the companies involved in the field. The article also presents an overview of some solutions for storing certificates using blockchain technology. After analyzing these existing applications, the paper proposes an architectural design and working scenario for deploying a system to storing diplomas issued by the University Politehnica of Bucharest using the blockchain technology. Finally, the conclusions and future work are presented. © 2021 IEEE.

关键词： Blockchain

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GAPSO-Based Traffic Signal control in Isolated Intersection with Multiple Objectives 2nd

GAPSO-Based Traffic Signal Control in Isolated Intersection ...

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2nd International Symposium on Simulation and Process Modelling, ISSPM 2020

作者： Chen, Yifan Qiao, Feng Guo, Lingzhong Liu, Tao Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang110168 China Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS13JD United Kingdom

ISBN: (纸本)9789813345744

In this paper, an optimization algorithm is presented to deal with the issue of traffic signal timing in an isolated intersection in rush hour aiming at reducing traffic congestion. It selects the traffic capacity, number of stops, and delay time as the objective of the optimization, and the genetic algorithm (GA) is integrated with the particle swarm optimization (PSO) algorithm to obtain optimized traffic signal timing plan to upgrade the performance of intersection with faster convergence and higher accuracy. A numerical simulation study is conducted on MATLAB as a case study with a genetic algorithm particle swarm optimization (GAPSO), and the simulation results show that the proposed GAPSO algorithm outperforms the conventional PSO algorithms. In addition, with the presented isolated intersection multi-objective optimization model, intersection capacity is improved effectively. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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Analysis of fast prototyping of microcontroller-based ML software for acoustic signal classification

Analysis of fast prototyping of microcontroller-based ML sof...

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

作者： Filip Marciniak Wojciech Marciniak Tomasz Marciniak Faculty of Computing and Telecommunications Poznan University of Technology Poznań Poland DECYBEL Student Science Club Poznan University of Technology Poznań Poland Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznan University of Technology Poznań Poland

The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** and Arduino Nano 33 BLE Sense Lite. The classifier training process was carried out using the Edge Impulse platform. Experimental studies were carried out for the process of classifying sound signals generated by the vacuum cleaner motor. The results of the training and the model test were presented for different configurations.

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Simplified Nonlinear Programs for NMPC Based on Active Set Construction *

Simplified Nonlinear Programs for NMPC Based on Active Set C...

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IEEE Conference on Decision and control

作者： Raphael Dyrska Martin Mönnigmann Faculty of Mechanical Engineering Automatic Control and Systems Theory Ruhr-Universität Bochum Bochum Germany

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

The nonlinear program arising in nonlinear model predictive control can be simplified by constructing candidate active sets for the successor state. Instead of modifying the optimization algorithm directly, we use these active sets to anticipate the relevant constraints for the next time step and to solve a simplified nonlinear program. Since active sets are in general valid for a set of initial states, an inherent robustness with respect to additive disturbances results.

关键词： Performance evaluation Uncertainty Computational modeling Prediction algorithms Robustness Hardware Batteries

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Delivering Improved Care through Remote Health Monitoring systems by Using Microservices. Case Study: Fall Detection Encompassed into Connected Care 24

Delivering Improved Care through Remote Health Monitoring Sy...

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24th International Conference on control systems and Computer Science, CSCS 2023

作者： Ianculescu, Marilena Alexandru, Adriana Giura, Ionut-Emanuel Vasilevschi, Ana-Mihaela National Institute for Research and Development in Informatics Communication Digital Applications and Systems Department Bucharest Romania University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania Counselors Department National Institute for Research and Development in Informatics Târgovişte Romania Faculty of Electrical Engineering Electronics and Information Technology Târgovişte Romania Valahia University of Târgovişte Târgovişte Romania

ISBN: (纸本)9798350313390

Based on today's modern technologies, patient care can be provided remotely, in a connected way, being, at the same time, personalized, patient-centered and proactive. Such an approach can be achieved using Remote Health Monitoring systems (RHMS). In case of elderly people, dramatic permanent deteriorations of their health status can be caused by falls. The seniors' health and life style monitoring and the detection and/or prevention of falls can be done by such RHMS, an example being the RO-SmartAgeing system developed inside 'Non-invasive Monitoring System and Health Assessment of the Elderly in a Smart Environment (RO-SmartAgeing)' research project. The paper presents the problem of using microservices for optimizing the architecture and functionalities of RO-SmartAgeing system, and the way in which the problems of ensuring the security of patient data can be solved. © 2023 IEEE.

关键词： Fall detection

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