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2022 Chinese Automation Congress, CAC 2022

作者： Li, Yue Xin, Xin Yan, Yuhang Southeast University School of Automation Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

As a typical underactuated experimental platform for robotics and control theory, the rotary inverted pendulum (RIP) system is nonlinear, multi-variable, and strongly coupled. We study the swing-up and balance control for the RIP system with system uncertainty. The classical energy-based swing-up control without compensation for the uncertainty and the signal compensation-based balance control are adopted. In the balance control, from the linearized state-space model near the upright equilibrium point (UEP) and the estimated discrete-time model, a signal compensation-based balance control is constructed to eliminate and suppress the system uncertainty. Simulation results verify the effectiveness of the controllers. © 2022 IEEE.

关键词： State space methods

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Enhancing IT Risk Management in XYZ Vocational School: Leveraging COBIT 5 Framework with the APO12 Domain

Enhancing IT Risk Management in XYZ Vocational School: Lever...

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2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent systems, ICETSIS 2024

作者： Winanti Fernando, Erick Gate, Jullend Universitas Insan Pembangunan Department of Information Systems Indonesia Universitas Multimedia Nusantara Information System Faculty of Engineering and Informatics Tangerang Indonesia Bina Nusantara University Binus Online Learning Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350372229

This article explores the importance of IT risk management, especially at XYZ Vocational School. The agency is equipped to manage business risks, emphasizing the need to improve decision-making and risk mitigation by identifying potential hazards and evaluating internal and external threats, including hacking risks. The research investigates IT risk management at XYZ Vocational School using a qualitative and quantitative method with a focus on the APO12 COBIT 5 domain: Align, plan, and organize. It assesses subdomains such as data collection, risk analysis, profile maintenance, risk articulation, portfolio management, and response strategies. Conclusively, the research reveals institutional IT capabilities at level 1 (Performed Process) in the APO12 subdomain. Recommendations include developing COBIT-compliant SOPs for processes at this level, highlighting the need for further improvements in IT governance. This study provides valuable insights into IT risk management practices, offering recommendations for improving IT governance in educational settings. © 2024 IEEE.

关键词： APO12 Domain COBIT 5 Information technology Risk Management Vocational School

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Swing-Down Control of a Rings Gymnastic Robot

Swing-Down Control of a Rings Gymnastic Robot

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2022 Chinese Automation Congress, CAC 2022

作者： Jin, Zhijie Xin, Xin Peng, Zhiyu Liu, Yannian Southeast University School of Automation Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

In this paper, we study the swing-down control of a rings gymnastic robot, which is a 3-link planar robot moving in a vertical plane with only the last joint being actuated. The control objective is to swing the rings gymnastic robot from the DUU (Down-Up-Up) equilibrium point to the DDD (Down-Down- Down) equilibrium point and stabilize it around the latter. We present an SD (sinusoidal-derivative) controller, which is linear feedback of sinusoidal function of the angle of the actuated joint and linear feedback of its angular velocity. We analyze globally the motion of the rings gymnastic robot under the proposed controller, and provide a sufficient condition for achieving the control goal. We study how to find control gains to achieve an exerllent control performance, and verify the effectiveness of the proposed control via simulation. © 2022 IEEE.

关键词： Motion analysis

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Energy-based Control of Three-Link Planar Robot with Last Active Link

Energy-based Control of Three-Link Planar Robot with Last Ac...

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2022 Chinese Automation Congress, CAC 2022

作者： Wang, Yongjia Xin, Xin Liu, Yannian Southeast University School of Automation Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

This paper studies the energy-based control for a 3-link planar robot with last active link, for which the angle between the last link and the vertical is actuated. The swing-up and stabilizing task around the robot's upright equilibrium point (UEP) is investigated. An energy-based controller is derived to control both its overall energy and actuated variable. By presenting a property of the robot that holds under arbitrary physical parameters, this paper proves that almost all initial states converge to an invariant set where the last link is upright and the robot's overall energy equals its value at the UEP, providing certain requirements on control gains are satisfied. This paper provides simulation verification for the obtained theoretical results, in which a local stabilizing controller is utilized to accomplish stabilization at the UEP. © 2022 IEEE.

关键词： Motion analysis

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Trajectory Planning and Tracking Control for the Pendubot

Trajectory Planning and Tracking Control for the Pendubot

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2022 Chinese Automation Congress, CAC 2022

作者： Xu, Bin Xin, Xin Yan, Yuhang Liu, Yannian School of Automation Southeast University Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

In this paper, we study the trajectory planning and tracking control for the Pendubot, which is a two-link robot has a single actuator at the base joint of the first link. We realize a fast swing-down control under the sinusoidal-derivative (SD) controller which introduces a damper and spring, and obtain a desired trajectory of the state and the control input by using the swing-down controller and the time-reversal method. To track such a trajectory, we derive the linearized time-varying model of the Pendubot around the trajectory, and design a linear state feedback control along with a feedforward term determined by the trajectory of the control input. We study several obtained trajectories and focus on two issues: 1) the linear controllability of the corresponding linearized time-varying model for each trajectory;2) the sufficient condition in the literature for checking the stability of the tracking control of the linearized time-varying model. Through our numerical investigation, we find that we have to choose appropriate control gains of the SD controller to guarantee the linear controllability, and that the sufficient condition is difficult to be satisfied. © 2022 IEEE.

关键词： Controllability

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Design of Scatterer Configuration for Spectral Optimization of Random Lasers

Design of Scatterer Configuration for Spectral Optimization ...

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022

作者： Okamoto, Takashi Kajisa, Kouki Ohshige, Ryo Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Fukuoka Iizuka820-8502 Japan

ISBN: (纸本)9798350350012

The two-dimensional structure of a random gain medium was designed to obtain the specified emission spectrum from a random laser. Structural optimization was performed using a direct binary search method. The simulation results showed that the emitted light can be concentrated within one or more specific wavelength ranges. The effect of the fabrication errors on the optimized laser emission spectrum was also examined. © IEEE 2022.

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Femoropopliteal Artery Stent Detection in Fluoroscopy Using Otsu's Preprocessing and CNN Segmentation 4

Femoropopliteal Artery Stent Detection in Fluoroscopy Using ...

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4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Rajinikanth, Venkatesan Damaševičius, Robertas Taniar, David Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Division of Research and Innovation Department of Computer Science and Engineering TN Chennai602105 India Kaunas University of Technology Centre of Real Time Computer Systems Kaunas44249 Lithuania Monash University Faculty of Information Technolog MelbourneVIC3800 Australia

ISBN: (纸本)9798350387490

computer algorithm supported medical image analysis is a prevalent method in clinics, which effectively alleviates the diagnostic burden associated with traditional image assessment methods. This study aims to create a method that utilizes a Convolutional-Neural-Network (CNN) to accurately segment the Femoropopliteal Artery Stent (FAS) in Digital Fluoroscopy Images (DFI). In order to improve the accuracy of segmentation, this study used the combination of Otsu's tri-level thresholding and the Lévy-Flight Distribution Algorithm (LFDA). The suggested technique consists of many stages: collecting and resizing images and masks, boosting the DFI using Otsu and LFDA, using CNN-segmentation to extract the stent region, comparing segmented stent with mask, and calculating the required performance metrics. The efficacy of the suggested system is validated by analyzing the raw and thresholded DFI. The investigational results of this work affirm that this method achieves a higher level of accuracy (>96%) in segmenting images when the Otsu's preprocessed image is utilized. The experimental study employs the UNet-variants, and in the future, alternative CNN-segmentation methodologies can be utilized to validate the effectiveness of the presented scheme. © 2024 IEEE.

关键词： Convolutional neural networks

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Exploring the Role of Humanoid Robots in Adaptive Learning systems: A Case Study on Quizzing

Exploring the Role of Humanoid Robots in Adaptive Learning S...

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Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), International

作者： Eman A. Noh Haya k. Elsonbaty Noure A. Elnakeib Ghada K. El-Monayer Nada M. Enan Omar M Elzeki Aya M. Al-Zoghby Khaled M. Fouad Artificial Intelligence Science Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Faculty of Computer Science and Engineering New Mansoura University Faculty of Computer Science & Engineering Faculty of Computers and Information Mansoura University New Mansoura University Mansoura Egypt Computer Science Department Faculty of Computers and Artificial Intelligence Damietta University Damietta Egypt Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Information Systems Faculty of Computers and Artificial Intelligence Banha University Egypt

ISBN: (数字)9798350367775

ISBN: (纸本)9798350367782

This paper analyses how Quizmaster can be incorporated into the humanoid robot to improve learning processes in educational environments. The humanoid robot incorporates artificial intelligence in its function as an educator and adds a new dimension to the way an interactive learning environment can be achieved in the form of quiz-based learning modules. The current system of Quizmaster has been designed as a separate application but has been modified to work in harmony with the robot and all its hardware and software components. The idea of this integration is to develop an effective learning tool that will help teachers present personalized educational material and evaluate learners' performance immediately. The paper covers the technical changes needed for this integration and the obstacles met while implementing it, as well as possible educational benefits of using robots in classrooms. The effectiveness of the system is established according to the degrees of usability and learners' interest and knowledge gains data gathered from the pilot implementations in differentiated learning contexts. Thus, the results state the positive progress of student's engagement and their knowledge, and it proves how robotics is useful in current education. Thus, this paper provides practical recommendations for expanding research and mass application of robotics-based learning aids in educational organizations.

关键词： Humanoid robots Learning (artificial intelligence) Organizations Educational technology Ubiquitous computing Software Real-time systems Hardware Usability Testing

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Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

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SN computer science 2024年第5期5卷 549页

作者： Hamza, Manar Ahmed Hashim, Aisha Hassan Abdalla Motwakel, Abdelwahed Elhameed, Elmouez Samir Abd Osman, Mohammed Kumar, Arun Singla, Chinu Munjal, Muskaan Department of Electrical and Computer Engineering International Islamic University Malaysia Kuala Lumpur 53100 Malaysia Department of Computer and Self Development Preparatory Year Deanship Prince Sattam bin Abdulaziz University AlKharj Saudi Arabia Department of Management Information Systems College of Business Administration in Hawtat bani Tamim Prince Sattam bin Abdulaziz University AlKharj Saudi Arabia Department of Computer Science College of Post-Graduated Studies University of Science and Technology Omdurman Sudan Department of Information System Faculty of Computer Science and Information Technology Omdurman Islamic University Omdurman Sudan Department of Electronics and Communication Engineering New Horizon College of engineering Bengaluru India Computer Engineering Thapar Institute of Engineering and Technology Punjab Patiala India

Natural Language Processing (NLP) with Deep Learning (DL) for Tweets Classification includes use of advanced neural network designs to analyse and classify Twitter messages. DL techniques like recurrent neural network (RNN) or transformer-based frameworks like BERT are used to mechanically learn difficult linguistic patterns and contextual info from tweet data. These techniques able to capture subtleties of language with sarcasm, sentiment, and context-specific meanings and making them suitable for tasks like sentiment analysis or topic classification in realm of social media. Leveraging deep symbols learned from great amounts of textual data, these NLP techniques permit precise and nuanced classification of tweets, donating to enhanced information retrieval, sentiment tracking, and trend analysis in dynamic and fast-paced world of social media communication. In this view, this research develops an arithmetic optimization algorithm with deep learning based tweets classification (AOADL-TC) approach for sustainable living. The goal of the AOADL-TC technique is to identify and discriminate different kinds of sentiments that exist in the tweet data. At the initial stage, the AOADL-TC model pre-processes tweet data to convert uniform data into a useful format. For sentiment detection, the AOADL-TC technique applies a parallel bidirectional gated recurrent unit (BiGRU) model. At last, tuning of parameters related to parallel BiGRU model performed by AOA. An wide set of tests carried out to illustrate better performance of AOADL-TC model. The experimental outcomes portrayed that AOADL-TC technique demonstrates the supremacy of the AOADL-TC technique in terms of different evaluation metrics. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning Machine learning Natural language processing Sentiment analysis Social media

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VHF Band III Spectrum Availability and Utilization for Cognitive Radio Implementation in Malaysia 22

VHF Band III Spectrum Availability and Utilization for Cogni...

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22nd International Learning and Technology Conference, L and T 2025

作者： Elshafie, Hashim Mohamad, Hafizal Saeed, Rashid A. Hamdan, Mosab Khattab, Mahmoud M. Ahmed, Abdelmoty M. King Khalid University College of Computer Science 61421 Saudi Arabia Universiti Sains Islam Malaysia Faculty of Engineering and Built Environment Negeri Sembilan Nilai71800 Malaysia Taif21974 Saudi Arabia South East Technological University Walton Institute for Information and Communication Systems Science WaterfordX91 HE36 Ireland Al Yamamah University College of Engineering and Architecture Riyadh13541 Saudi Arabia Nahda University Faculty of Computer Science Beni Suef Egypt

ISBN: (纸本)9798331532215

The VHF Band III spectrum (174-230 MHz), recognized for its low utilization, was opened by the FCC in 2002 for opportunistic use by communication technologies. This paper presents a quantitative analysis of the availability of VHF Band III for cognitive radio CR access in Malaysia. Measurements were conducted over a week in 18 Malaysian cities to analyze spectrum utilization and received signal strength, alongside the impact of broadcasts from neighboring countries. The findings highlight actual utilization patterns and reveal the spectrum's potential for opportunistic access, especially post-digital switchover (DSO). © 2025 IEEE.

关键词： Cognitive radio

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