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International Multidisciplinary Information Technology and engineering Conference (IMITEC)

作者： Ladan Maijama'a Jibril Danladi Jiya Ejike C. Anene Hassan Sabo Miya Department of Computer Engineering School of Engineering Technology Federal Polytechnic Bauchi Nigeria Department of Electrical and Electronics Engineering Abubakar Tafawa Balewa University Bauchi Nigeria Department of Mechatronics and System Engineering Abubakar Tafawa Balewa University Bauchi Nigeria

ISBN: (数字)9798350387988

ISBN: (纸本)9798350387995

The dynamics of a quadcopter unmanned aerial vehicle (UAV) and proportional integral derivative (PID) control based on disturbance rejection are mathematically modelled in this work. The model presented is a nonlinear in nature and modelled with respect to the two fundamental frames of reference and physical mathematical laws. The objective is to create the most accurate replica of the vehicle. The created model is utilized to develop a PID controller method that will precisely and steadily operate the quadrotor system. The development of a controller is to obtain stability in the quadcopter system. First, the nonlinear and couple model quadcopter were established, and control described the principles of the ability of decoupling rejection control then the model was decoupled. The system contains four input forces, which are basically the thrust provided by each propeller coupled to each rotor with a fixed angle. Pitch angle must change in order to maintain forward (backward) motion, which is accomplished by simultaneously increasing (decreasing) front (rear) rotor speed and decreasing (increasing) rear (front) rotor speed. The same method is used to change the roll angle for left and right motion. The motors in the front and rear spin counter-clockwise, while the motors in other motor positions rotate clockwise. This causes the yaw command to be generated by either raising or reducing the speed of the counter-clockwise motors while reducing or increasing the speed of the clockwise motors. The achieved goal here is the derivation of a model that properly reflects the physical properties enabling realistic simulations and is simple enough to be applied to controller design in the future. The system and controller's mathematical models were converted to matching Simulink models in order to make system simulations and investigations easier. The results show the accuracy and significant disturbance rejection of the nonlinear model.

关键词： PI control Software packages Rotors Motors Autonomous aerial vehicles Mathematical models Stability analysis systems simulation PD control Quadrotors

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Development of Cell Membrane Perforator for Large-Scale Application of Photochemical Cell Membrane Perforation by Continuous Processing

Development of Cell Membrane Perforator for Large-Scale Appl...

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2024 International Symposium on Micro-NanoMehatronics and Human Science, MHS 2024

作者： Ochiai, Sota Kobayashi, Kohei Saito, Takashi Kei Akita Prefectural University Graduate School of Systems Science and Technology Department of Integrated System Engineering 84-4 Tsuchiya Ebinokuchi Yurihonjo-City Akita015-0055 Japan Akita Prefectural University Faculty of Systems Science and Technology Department of Intelligence Mechatronics 84-4 Tsuchiya Ebinokuchi Yurihonjo-City Akita015-0055 Japan

ISBN: (纸本)9798331540579

Photochemical cell membrane perforation is a technique that introduces substances directly into large numbers of cells and has a low cytotoxic effect. Among several cell modification techniques, this method is more efficient, since it can perforate a group of cells rather than an individual cell. It is also characterized by a high cell survival rate because the perforation is performed using oxidative treatment so that cells can repair themselves. To further expand this technology on a larger scale, we aimed to shift from batch processing to flow processing. In particular, the perforator, which had a flat shape in the past, was changed to a cylindrical shape, and a mechanism was developed for cell modification by passing a mixture of cells and transfection components between the perforator and two rotating cylinders on the receiving side. © 2024 IEEE.

关键词： Perforators

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Buckling-Inspired Triboelectric Sensor for Multifunctional Sensing of Soft Robotics and Wearable Devices

SSRN

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SSRN 2024年

作者： Xu, Jinsui Pan, Xueting Xu, Boyi Yue, Honghao Lu, Yifan Ying, Kai Wang, Zheping Yang, Fei State Key Laboratory of Robotics and System School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China Wu Xianming School of Intelligent Engineering South China University of Technology Guangzhou510641 China

Amidst the rapid development of intelligent robotics and wearable health monitoring devices, there is an urgent demand for flexible sensor systems with high sensitivity and precise feedback. In this paper, a multifunctional triboelectric sensor inspired by the phenomenon of buckling is introduced, which integrates kirigami structures with triboelectric nanogenerator principles to accurately detect one-dimensional (1D) and two-dimensional (2D) deformations. The sensor employs a contact-separating structure, with its friction layers consisting of 2D laser-cut kirigami electrodes, which deform into three-dimensional (3D) structures through tensile or compressive buckling. The tensile buckling sensor (BS) developed is capable of sensing the bending angle of soft grippers, allowing the detection of the size of grasped objects with a high recognition rate of 93.75%. Additionally, in its 1D compressive buckling form, the sensor can be used to recognize various human motion patterns effectively, while the 2D compressive version can be used to measure the expansion of curved surfaces with a sensitivity of 1.3307 V/mm. By combining the unique properties of buckling structures, the innovative triboelectric multifunctional sensor proposed offers a new solution for high-precision motion feedback control with potential application in soft robotics and health monitoring. © 2024, The Authors. All rights reserved.

关键词： Buckling

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Dialogue system based on Reinforcement Learning in Smart Home Application 22

Dialogue System based on Reinforcement Learning in Smart Hom...

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Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications

作者： Hanif Fakhrurroja Ahmad Musnansyah Muhammad Dewan Satriakamal Bima Kusuma Wardana Rizal Kusuma Putra Dita Pramesti Research Center for Smart Mechatronics National Research and Innovation Agency Indonesia and School of Industrial and System Engineering Telkom University Indonesia School of Industrial and System Engineering Telkom University Indonesia School of Informatics Telkom University Indonesia

ISBN: (纸本)9781450397902

This research discusses how to interact with a smart home using speech recognition and a touchscreen to control electronic devices. Google Speech Cloud API use to process speech-to-text and text-to-speech. The system is built in a mobile-based application using a touchscreen as remote control and speech to control the electronic devices. This mobile application is made using the Flutter framework. We use natural language understanding (NLU) in speech processing to determine the intent. The learning process in a dialogue system is based on reinforcement learning. Interaction through the touch screen on the mobile application performs well, while the dialogue system based on reinforcement learning accuracy rate is 83.33%.

关键词： Natural Language Understanding Mobile Application Smart Home Reinforcement Learning Dialogue system

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Design and Implementation of an Image Processing-Based Ping Pong Training Robot

Design and Implementation of an Image Processing-Based Ping ...

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Innovations in Intelligent systems and Applications Conference

作者： Mert Aydın Sezercan Bektaş Ahmet Ajam Ahmet Kağızman Volkan Sezer Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Institute of Science Smart and Autonomous System Laboratory (SASlab) Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Smart and Autonomous System Laboratory (SASlab) Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798350379433

ISBN: (纸本)9798350379440

This study aims to develop an image-processing-based ping-pong training robot to facilitate effective practice for ping-pong players. In the developed system, the image of the ping-pong player is processed from the camera integrated into the robot, the player's position is determined and the ball is directed to areas that are difficult for the player to reach. The reason for launching the ball into difficult areas is to improve the players' physical and strategic abilities. In the process of throwing the ball, the ball is placed in the hopper, driven from the hopper to the launch point with the help of a servo motor, and launched with the help of two DC motors. Experimental results confirm that the robot accurately detects the player's position and successfully directs the ball to the intended target area. Furthermore, the findings demonstrate that this system, which integrates image processing and robotic control technologies, provides a robust and adaptable training tool for ping-pong players.

关键词： Training Technological innovation Image processing Robot vision systems Process control DC motors Cameras Servomotors Intelligent systems Robots

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Design. Implementation, and Control of a Novel Automated Manual Transmission (AMT) system for Manual Transmission Bicycles

Design. Implementation, and Control of a Novel Automated Man...

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Innovations in Intelligent systems and Applications Conference

作者： Fehmi Can Ay Bengisu Kılınç Talha Enes Ercan Ahmet Kağızman Volkan Sezer Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Institute of Science Smart and Autonomous System Laboratory (SASlab) Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Smart and Autonomous System Laboratory (SASlab) Istanbul Technical University Istanbul Turkey

ISBN: (数字)9798350379433

ISBN: (纸本)9798350379440

In recent years, the bicycle industry has undergone continuous transformation through the introduction of novel technologies and innovations. Automated Manual Transmission (AMT) system, which is widely used in motor vehicles and defined as automating the traditional manual gearbox through electronic components and actuators, has an important place in the automotive industry due to its advantages such as fuel efficiency, low cost, and driver comfort. However, a similar system is not yet available on bicycles. This article describes developing a new gear-shifting system that enables the manual gear-shifting mechanism in bicycles to be automated with an intelligence-based system. The developed system automatically performs the most appropriate gear change by processing the data received from the sensors, such as inclination, wheel, and pedal cadence, thus providing a more efficient and comfortable driving experience that does not require effort. The system has been tested by integrating it into a bicycle with manual transmission and it has been confirmed that automatic gear shifts were successful.

关键词： Industries Technological innovation Gears Wheels Manuals Bicycles Sensor systems Intelligent systems Intelligent sensors Vehicles

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Exploration of ECG-Based Real-Time Arrhythmia Detection: A systematic Literature Review 4

Exploration of ECG-Based Real-Time Arrhythmia Detection: A S...

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4th International Conference Advancement in Data Science, E-Learning and Information systems, ICADEIS 2022

作者： Rizqyawan, Muhammad Ilham Nuryatno, Edi Triono Fakhrurroja, Hanif Munandar, Aris Wibowo, Jony Winaryo Kusumandari, Dwi Esti Simbolon, Artha Ivonita Setiawan, Dika Amri, M Faizal Nadiya, Ulfah Salim, Taufik Ibnu National Research and Innovation Agency Research Center of Smart Mechatronics Bandung Indonesia University of Western Australia UWA Centre for Medical Research Perth Australia School of System and Industrial Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9781665463874

Cardiac arrhythmia is a medical term to describe an irregular heartbeat, which occurs when electrical properties in the heart incapacitated. Although most of arrhythmias are harmless, some of them can lead to life threatening complications if not detected and monitored on time. To date, a real-time automatic arrhythmia detection is essential in the current health system. This can be seen from numerous research that has been conducted on the automatic detection and classification of various types of arrhythmias. This study seeks to find as much relevant research on the abundance of published work in the topic, to identify the state-of-the art methods and finding the gap in the research in an effort to summarize all of the available evidence of the distinguish real-time automatic arrhythmia detection. A careful quantitative research process of systematic literature review (SLR) within the Health Informatics area was applied in this research to identify and analyze the trends, datasets, and methods in real-time arrhythmia detection. systematic searches were administered in Scopus using a defined search string, while several filters were applied based on inclusion and exclusion criteria. After removing duplicates and non-eligible articles, the data were extracted from the selected articles with the result shows that the number of studies focusing on the real-time detection of arrhythmia is still limited, but on a rising trend. Finally, the analysis of the datasets, feature extraction, classification methods and a table of algorithm comparison were presented as the result of the study, which summarized the pre-eminent methods of real-time arrhythmia classification based on its average accuracy. © 2022 IEEE.

关键词： Electrocardiograms

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Noise-Optimized Signal Processing for TENG-Based Touch Sensing Using I2C Integrated Circuits

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IEEE Sensors Journal 2025年

作者： Moger, Gourav Kakim, Alibek Mubarak, Assem Bushanov, Yersaiyn Kalimuldina, Gulnur Yeshmukhametov, Azamat Nazarbayev University Department of Robotics Engineering Astana Kazakhstan Nazarbayev University School of Engineering and Digital Sciences Department of Mechanical and Aerospace Engineering Astana Kazakhstan LLP MiraiTech Astana Kazakhstan Nazarbayev University Institute of Smart Systems and Artificial Intelligence Advanced Robotics and Mechatronics System laboratory Astana Kazakhstan

Triboelectric nanogenerator (TENG) sensors efficiently convert mechanical stimuli into electrical signals, making them well-suited for touch sensing due to their high sensitivity, durability, and self-powered operation. However, conventional signal acquisition methods introduce noise, affecting measurement accuracy. This paper presents a compact, Inter-Integrated Circuit (I2C)-based signal processing circuit designed to enhance signal fidelity while minimizing noise interference. The system’s performance was evaluated by analyzing sensor response across varying contact areas (50 mm² to 576 mm²) and drop heights, demonstrating a consistently high signal-to-noise ratio (SNR) across impact conditions. A high-frequency impact experiment further confirmed the PCB’s ability to distinguish sensor output from noise. Comparison with direct analog acquisition showed a significant enhancement in SNR, validating the PCB’s effectiveness in noise reduction. The system exhibited a rise time of 3.27 milliseconds, ensuring rapid detection of mechanical stimuli. Additionally, the measured latency of 88.9 ms between impact and signal detection falls within acceptable limits for realtime applications. These results establish the proposed PCB-based signal processing method as a practical solution for improving TENG sensor performance in touch-sensing applications requiring high accuracy and noise resilience. The compact, low-power design further enhances its suitability for integration into wearable electronics, interactive surfaces, and space-constrained systems where conventional bulky processing units are impractical. © 2001-2012 IEEE.

关键词： Network coding

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Obstacle Identification Based on Deep Learning for Inspection Robot of FAST Wire Rope

Obstacle Identification Based on Deep Learning for Inspectio...

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Automation, Robotics and Computer engineering (ICARCE), International Conference on

作者： Chengxu Yang Xiangyu Sun Gangfeng Liu School of Mechatronics Engineering Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

In this paper, for the requirements of image recognition and localization of the obstacles existing on the moving path in the inspection task of FAST cable inspection robot, the deep learning method is used to realize the recognition of multi-kind and multi-scale obstacles. The obstacles on FAST wire rope have not been identified before. By enhancing the data set and improving the network model, the recognition accuracy and speed are both improved, which meets the efficiency and accuracy requirements of obstacle detection on the wire rope, and provides help for the subsequent robot pace planning and overhaul tasks.

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Efficient Design and Simulation of Force Analysis of Rotary Loading Platform under Automated Processing Mode 22

Efficient Design and Simulation of Force Analysis of Rotary ...

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Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

作者： Zhihong Lu Huijie Shi Xiyu Zhang School of Electrical Computer and System Engineering Rensselaer Polytechnic Institute United States School of Information and Mechatronics Engineering Shanghai Normal University China School of Mechanical Engineering Guangxi University China

ISBN: (纸本)9781450398343

In industry, rotary lifting platforms are widely used. In this research, two models with different support plate thicknesses are designed for the same type of four support plates rotating lifting platforms. The research simplifies the model to a cantilever beam model to facilitate the theoretical calculation of mechanical parameters of materials. The stresses and deformations of the support plates of the two models under different loads are theoretically calculated. The calculation results all meet the safety requirements of the material. The finite element simulation software ANSYS WORKBENCH is used to verify whether the stresses and deformations of the actual models meet the requirements. The simulation results show that the stress and deformation of the simulation are different from those of the theoretical calculation. The reason lies in the simplification of the theoretical calculation. This difference does not affect the simulation result parameters to meet the design safety requirements.

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