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Efficient Augmentation of Human Action Recognition Datasets with Warped Windows

Procedia computer Science 2022年 207卷 3018-3027页

作者： Dawid Warchoł Mariusz Oszust Department of Computer and Control Engineering Faculty of Electrical and Computer Engineering Rzeszow University of Technology W. Pola 2 35-959 Rzeszow Poland

In this paper, an approach to augment action recognition time series datasets, devoted to improving the accuracy of deep learning classifiers, is proposed. In the introduced method, two operators are sequentially introduced that perform linear and nonlinear modifications in the time scale of the input time series. The resulting data samples contribute to the variability within classes and allow a deep learning-based classifier to better capture their boundaries, leading to a significant improvement in the classification accuracy. The extensive experiments performed on eight publicly available action recognition datasets using the popular Bidirectional Long Short-Term Memory (BiLSTM) classifier reveal the superiority of the proposed algorithm over related approaches.

关键词： data augmentation time series skeletal data human action recognition long short term memory

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A New LMI-Based Non-Iterative Design Method for Static Output Feedback controllers for Linear Systems 25

A New LMI-Based Non-Iterative Design Method for Static Outpu...

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25th International Conference on Mechatronics Technology, ICMT 2022

作者： Oya, Hidetoshi Hayakawa, Satoshi Nagai, Shunya Nakano, Kazushi Tokyo City University Department of Computer Science Tokyo Japan Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Department of Electronics and Control Engineering Ehime Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (数字)9781665461955

ISBN: (纸本)9781665461955

This paper presents a new non-iterative LMI-based design method for static output feedback controllers for linear systems. The proposed design method is derived from the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems. In this paper, we show the new non-iterative LMI-based design procedure for static output feedback controllers for linear systems, and the effectiveness of the proposed controller design approach is shown through a simple numerical example. © 2022 IEEE.

关键词： Linear systems

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Automatic Identification of Functionally Untestable Cell-Aware Faults in Microprocessors

Automatic Identification of Functionally Untestable Cell-Awa...

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Asian Test Symposium (ATS)

作者： Nikolaos I. Deligiannis Tobias Faller Iacopo Guglielminetti Riccardo Cantoro Bernd Becker Matteo Sonza Reorda Department of Control and Computer Engineering (DAUIN) Politecnico di Torino Turin Italy Department of Computer Science University of Freiburg Freiburg Germany STMicroelectronics Turin Italy

In-field test of microprocessors is a major topic for the industry, especially in the safety-critical domain, where the respective standards mandate high test coverage thresholds. The dominant fault models used are the transition delay and the stuck-at fault model. However, the adoption of very advanced semiconductor technologies to manufacture devices used in safety-critical applications pushes toward considering new fault models that are better suited to catch subtle and age-related defects. Among the other phenomena, latent cell-internal defects emerged as relevant causes for several failures. Hence, the necessity for the Cell-Aware Test (CAT) was born, and the inclusion of the CAT fault model in the latest safety standards. Although CAT amends the issue of the numerous test escapes, it may suffer as well from the presence of functionally untestable faults that may pollute the overall test efficiency with their presence. In this paper, we propose a solution, based on formal methods, for the automatic identification of functionally untestable faults under the Cell-Aware fault model for the case where the DUT is a fully pipelined processor. As a case study, we used the RISC-V processor RI5CY for which we applied the minimum constraints required to ensure a functional behavior to demonstrate the effectiveness and impact of the approach. With the considered constraints, a significant percentage of functionally untestable faults was located in the several modules within the processor. Furthermore, the method allows to flexibly take into account any constraint stemming from the system configuration and the application. The obtained results have been validated by resorting to commercial EDA tools.

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Spleen-preserving distal pancreatectomy from multi-port to reducedport surgery approach

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World Journal of Gastrointestinal Surgery 2023年第7期15卷 1501-1511页

作者： Ching-Lung Hsieh Tung-Sheng Tsai Cheng-Ming Peng Teng-Chieh Cheng Yi-Jui Liu Department of Computer Science and Information Engineering Feng Chia UniversityTaichung 40724TaiwanChina Department of Surgery Chung Shan Medical University HospitalTaichung 40201TaiwanChina PhD Program of Electrical and Communications Engineering Feng Chia UniversityTaichung 40724Taiwan School of Medicine Chung Shan Medical UniversityTaichung 40201Taiwan Da Vinci Minimally Invasive Surgery Center Chung Shan Medical University HospitalTaichung 40201Taiwan Department of Automatic Control Engineering Feng Chia UniversityTaichung 407Taiwan

BACKGROUND Minimally invasive pancreatic surgery via the multi-port approach has become a primary surgical method for distal pancreatectomy(DP)due to its advantages of lower wound pain and superior cosmetic *** studies have applied reduced-port techniques for DP in an attempt to enhance cosmetic outcomes due to the minimally invasive *** recent review studies have compared multi-port laparoscopic DP(LDP)and multi-port robotic DP(RDP);most of these studies concluded multi-port RDP is more beneficial than multi-port LDP for spleen ***,there have been no comprehensive reviews of the value of reduced-port LDP and reduced-port *** To search for and review the studies on spleen preservation and the clinical outcomes of minimally invasive DP that compared reduced-port DP surgery with multi-port DP *** The PubMed medical database was searched for articles published between 2013 and *** search terms were implemented using the following Boolean search algorithm:(“distal pancreatectomy”OR“left pancreatectomy”OR“peripheral pancreatic resection”)AND(“reduced-port”OR“single-site”OR“single-port”OR“dual-incision”OR“single-incision”)AND(“spleen-preserving”OR“spleen preservation”OR“splenic preservation”).A literature review was conducted to identify studies that compared the perioperative outcomes of reduced-port LDP and reduced-port *** Fifteen articles published in the period from 2013 to 2022 were retrieved using three groups of search *** studies were added after manually searching the related ***,10 papers were selected after removing case reports(n=3),non-English language papers(n=1),technique papers(n=1),reviews(n=1),and animal studies(n=1).The common items were defined as items reported in more than five papers,and data on these common items were extracted from all *** ten studies included a total of 337 patients(females/males:231/106)who underwent *** total,166 patients(females/male

关键词： Minimally invasive surgery Robotic distal pancreatectomy Laparoscopic distal pancreatectomy Spleen preservation Reduced-port Multi-port

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Fast Subdomain Approximation of Brushless Electrical Machines with Spoke-Hub Permanent Magnets

Fast Subdomain Approximation of Brushless Electrical Machine...

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Iranian Conference on Electrical engineering (ICEE)

作者： Meisam Pourahmadi-Nakhli Seyed Hassan Daryanavard Masoud Jokar-Kohanjani Sina Soltani Department of Electrical and Computer Engineering University of Hormozgan Bandar Abbas Iran Department of Power Shiraz Electric Distribution Company Shiraz Iran Department of Instrument and Control Engineering Piramoon Pardazesh Qeshm Tehran Iran

ISBN: (数字)9798350376340

ISBN: (纸本)9798350376357

Fast calculation is the major advantage of the subdomain analytical modeling of electrical Machines when compared to Finite Element modeling (FEM). However, for some permanent magnet (PM) arrangements inconsistent to a single coordinate, the FEM is more accurate and so more trusted. In this research a fast subdomain approximation of brushless electrical machines with spoke-hub PMs on rotor is developed for calculation of the rotor and stator fields and the resulted torque. Comparison with FEM results shows that for common arrangements of rectangle and arc-formed PMs, the two-dimensional (2-D) analytic modeling can accurately calculate electromagnetic quantities and the electromagnetic torque.

关键词： Analytical models Torque Accuracy Magnetic separation Two-dimensional displays Rotors Stators

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An improved side-slip estimation algorithm based on ultra-local model technique for autonomous vehicles

An improved side-slip estimation algorithm based on ultra-lo...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Dániel Fényes Tamás Hegedűs Balázs Németh Vu Van Tan Péter Gáspár HUN-REN Institute for Computer Science and Control (SZTAKI) Budapest Hungary Department of Automotive Mechanical Engineering Faculty of Mechanical Engineering University of Transport and Communications Hanoi Vietnam

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The paper presents a novel observer design method for estimating the front and rear wheel slips of the vehicle. The proposed observer design technique consists of two parts: A simple linear observer algorithm, which uses a reformulated lateral vehicle model to estimate the tire slips. The second part is based on an ultra-local model. The main goal of the ultra-local model is to eliminate the nonlinear, unmodeled, uncertain dynamics of the lateral vehicle model. In this way, the performance level of the linear observer can be significantly increased especially under critical circumstances such as high lateral acceleration maneuvers or driving on a low µ surface. The proposed observer algorithm is implemented in MATLAB/Simulink environment connected to the high-fidelity simulation software, CarMaker. The operation and the effectiveness of the proposed observer are demonstrated through several simulation examples.

关键词： Heuristic algorithms Software algorithms Wheels Observers Mathematical models Tires Software Vehicle dynamics MATLAB Information technology

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A comparative analysis for automated information extraction from OSHA Lockout/Tagout accident narratives with Large Language Model

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Procedia computer Science 2025年 253卷 1362-1372页

作者： Nicolò Sabetta Francesco Costantino Sara Stabile Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 00185 Rome Italy Department of Occupational and Environmental Medicine Epidemiology and Hygiene INAIL Piazzale Giulio Pastore 6 00144 Rome Italy

Analysing workplace accidents is crucial for improving occupational safety by understanding causes and preventing recurrence. However, the primary challenge in analysing accident narratives lies in the unstructured nature of the text data. This study examines the effectiveness of Large Language Models (LLMs), specifically GPT-4 Turbo, in extracting information from lockout/tagout (LOTO) accident narratives in the Occupational Safety and Health Administration (OSHA) database. It compares the extracted features, namely the degree of fatality, nature of injury, and employee’s occupation, with those recorded by OSHA supervisors. Despite occasional misclassifications and hallucinations, GPT-4 Turbo shows significant potential in automating critical information extraction, reducing reliance on human interpretation. Moreover, the model achieved high accuracy rates for each feature. These findings suggest that LLMs can enhance occupational safety data analysis, though improvements in prompt design and verification are recommended for further accuracy.

关键词： LLM Occupational Safety Health Administration (OSHA) Industrial Safety LOTO Generative AI

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Interpretation of ADRC in $Q$-Structure

Interpretation of ADRC in $Q$-Structure

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Jiapeng Xu Xiang Chen Ying Tan Kemin Zhou Department of Electrical and Computer Engineering University of Windsor Windsor Canada Department of Mechanical Engineering The University of Melbourne Melbourne Australia Center for Advanced Control and Smart Operations Nanjing University Suzhou China

ISBN: (数字)9798350356618

ISBN: (纸本)9798350356625

This paper presents a control structure featuring an operator $Q$ driven by the residual signal, which indicates the difference between the measurement output and the estimated output from an observer. The form of this observer is very general, as long as it can generate the estimated state or relevant information that will be incorporated into this control structure. The operator $Q$ introduces an extra design freedom to address uncertainties, such that linear active disturbance rejection control (LADRC) can be interpreted as a special case in the Q-structure when a linear extended state observer is used.

关键词： Robust control Q measurement Uncertainty Simulation Observers Robustness Artificial intelligence

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Cooperative control Strategy for Virtual Inertia Based on Fuzzy control 8

Cooperative Control Strategy for Virtual Inertia Based on Fu...

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8th International Conference on control Science and Systems engineering, ICCSSE 2022

作者： Gao, Zhimin Cao, Yongji Zhang, Hengxu Qin, Hao Zhang, Xiaoning Li, Changgang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665484138

The large-scale integration of renewable energies brings about low inertia characteristics to the power system, and the frequency security faces greater challenges. The existing inertia research lacks the synergy between different types of inertia sources and different control methods, and the inertia response capability of power system still can be improved. In this paper, with the aim of proposing a virtual inertia cooperative control strategy for the power system with high penetration of renewable energies, we analyze the virtual inertia mechanisms of wind power, PV units and energy storage system (ESS), and propose control methods for wind power and PV units to participate in inertia response. Considering the reason of limited inertia response capability of renewable energy units, the fuzzy control is used to make the ESS participate in inertia compensation to improve the frequency response capability. Finally, case study is carried out to verified the effectiveness of the proposed control strategy. © 2022 IEEE.

关键词： Fuzzy control

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Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network

arXiv

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arXiv 2024年

作者： Ismaeel, Ayad Ghany Krishnadas, J. Manishankar, S. Natarajan, Yuvaraj Mahmood, Sarmad Nozad Alani, Sameer Shather, Akram H. Computer Technology Engineering College of Engineering Technology Al-Kitab University Kirkuk36001 Iraq Department of Computer Science and Engineering Sahrdaya College of Engineering and Technology Thrissur Kodakara680684 India Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and Technology Coimbatore641062 India Electronic and Control Engineering Techniques Technical Engineering College Northern Technical University Kirkuk36001 Iraq Computer Center University of Anbar Ramadi55431 Iraq Department of Computer Engineering Technology Al-Kitab University Altun Kopru Kirkuk36001 Iraq

This paper examines the use of deep recurrent neural networks to classify traffic patterns in smart cities. We propose a novel approach to traffic pattern classification based on deep recurrent neural networks, which can effectively capture traffic patterns' dynamic and sequential features. The proposed model combines convolutional and recurrent layers to extract features from traffic pattern data and a SoftMax layer to classify traffic patterns. Experimental results show that the proposed model outperforms existing methods regarding accuracy, precision, recall, and F1 score. Furthermore, we provide an in-depth analysis of the results and discuss the implications of the proposed model for smart cities. The results show that the proposed model can accurately classify traffic patterns in smart cities with a precision of as high as 95%. The proposed model is evaluated on a real-world traffic pattern dataset and compared with existing classification methods. © 2024, CC BY-NC-ND.

关键词： Classification (of information)

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