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21st Polish Control Conference, PCC 2023

作者： Abadi, Ali Soltani Sharif Hosseinabadi, Pooyan Alinaghi Ordys, Andrew Institute of Automatic Control and Robotics Faculty of Mechatronics Warsaw University of Technology Warsaw Poland School of Engineering and Information Technology The University of New South Wales CanberraACT Australia

ISBN: (纸本)9783031351693

One of the most significant issues in the cities is the heavy traffic that everyday citizens are involved with. In recent decades, various sciences, such as computing science and control and traffic science have been incorporated to address this problem. In this paper, theoretically, the Terminal Sliding Mode Control (TSMC) method is proposed to control the traffic flow in urban networks. Firstly, a two regions model for urban traffic with various uncertainties and external disturbances is considered;subsequently, the Lyapunov stability method is employed to control the urban traffic flow in this model by using designed control inputs and adaptive laws. Finally, a numerical simulation for a case study is performed in Simulink/MATLAB to reveal the effectiveness of the proposed designs in this paper. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Simulink

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Synchronization of Four Different Chaotic Communication Systems with the Aim of Secure Communication 21st

Synchronization of Four Different Chaotic Communication Syst...

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21st Polish Control Conference, PCC 2023

ISBN: (纸本)9783031351693

The synchronization of systems with the goal of securing communications is a very interesting and recent topic. This paper proposes the Fast Terminal Sliding Mode Control (FTSMC) method to design control inputs for synchronizing four different communication systems, Volta, Coullet, Chen and ***. Synchronization of these systems can be used in a variety of applications. Some of the key features of the proposed designs are that these inputs are robust against the variety of uncertainties of the system model and external disturbances. Also, the finite time stability of these systems is guaranteed by using designed inputs. Additionally, these inputs eliminate destructive and undesirable chattering phenomena thoroughly. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Synchronization

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Preprocessing Taste Data for Deep Neural Networks 14

Preprocessing Taste Data for Deep Neural Networks

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Lee, Hyunjong Jung, Han Hee Kwak, Jeongho Yea, Junwoo Choi, Jihwan P. Jang, Kyung-In Department of Electrical Engineering and Computer Science Daegu Korea Republic of Dgist Department of Robotics and Mechatronics Engineering Daegu Korea Republic of Dgist Department of Electrical Engineering and Computer Science Daegu Korea Republic of Department of Aerospace Engineering Dajeon Korea Republic of

ISBN: (纸本)9798350313277

Analyzing wine using taste data is a promising field due to the explosive expansion of online commerce. However, because of the wide variety of wine types with different flavors and aromas, it is difficult for consumers to choose the wine that suits their taste, and also difficult for sellers to recommend appropriate wines to consumers. Therefore, it is necessary to numerically analyze and classify wine, and a deep learning algorithm which mimics the human brain is appropriate for analyzing the wine data [1]. In this paper, we introduce several studies of wine classification using deep learning architectures and propose preprocessing methods for applying the taste data of wine to deep learning networks. © 2023 IEEE.

关键词： data augmentation deep learning preprocessing taste classification taste sensor wine

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Semantic Segmentation in Unmanned Aerial Vehicle Surveillance for Detailed Urban Tree Mapping and Species Classification 6

Semantic Segmentation in Unmanned Aerial Vehicle Surveillanc...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Senanayake, S.M.R.B. Herath, H.M.K.K.M.B. Yasakethu, S.L.P. Madhusanka, B.G.D.A. Sri Lanka Technology Campus Department of Mechatronics Engineering Padukka Sri Lanka Sri Lanka Technology Campus Computational Intelligence and Robotics Research Lab Padukka Sri Lanka The Open University of Sri Lanka Department of Mechanical Engineering Nugegoda Sri Lanka

ISBN: (纸本)9798331517878

Urban greening is becoming increasingly important, which has increased interest in tracking and analyzing urban vegetation and highlighted the necessity for an accurate and practical evaluation of greenery inside cities. Unmanned Aerial Vehicles (UAVs) have become an essential tool for mapping vegetation at a broad scale, frequently using orthographic views to manage the heavy workload. This research examines semantic segmentation and a particular issue with tree species identification brought on by perspective views from different heights. The methodology involved the semantic segmentation methods used without orthorectification on a single low-altitude ( © 2024 IEEE.

关键词： Vegetation mapping

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Analysis of the Stability and postcritical Behavior of the Ziegler’s Pendulum in Simulink

Analysis of the Stability and postcritical Behavior of the Z...

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International Conference on Information Technologies in engineering Education (Inforino)

作者： Vladimir P. Radin Elena V. Poznyak Olga V. Novikova Valerian E. Tsoy Viktor P. Chirkov Sergey F. Kuznetsov Department of Robotics Mechatronics Dynamics and Strength of Machines Moscow Power Engineering Institute Moscow Russia

ISBN: (数字)9798350371369

ISBN: (纸本)9798350371376

The paper presents a nonlinear Simulink model of a double pendulum loaded with potential and follower forces. At first stability region of the initial equilibrium position was found using the dynamic method. Then time-depended displacements and phase portraits of the pendulum were obtained and investigated for various parameters of the loading: in the stable regions, at the intersection of the boundaries of flutter and divergence, in distant postcritical regions. In the simulation some features of phase trajectories of the nonlinear nonconservative system have been found and illustrated. The relevance of simulation for training future specialists in the field of dynamics and strength of machines is shown.

关键词： Training Software packages Simulation Loading Dynamics Stability analysis Trajectory

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Development of a Modular Robotic Finger for Gripping Various Shaped Objects

Development of a Modular Robotic Finger for Gripping Various...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Jisu Kim Jinman Cho Yeon Kang Changwha Lee Dongwon Yun Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu South Korea

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

With the introduction of the Fourth Industrial Revolution and the spread of smart factories, the demand for small-quantity batch production systems is rapidly increasing. As a result, the implementation of robotic gripper systems that can handle various objects is required. Until now, grippers have to be replaced or newly developed each time depending on the object to be gripped. In addition, conventional gripper systems require a picking system based on a sophisticated gripping plan to handle products with complex shapes. This requires the integration of vision and various sensor systems, which in turn increases the cost of the system and makes it challenging to apply it to real industrial sites. To solve this problem, we developed a robotic finger by applying the paired crossed flexure hinge (p-CFH) developed in our previous research. The p-CFH-based robotic finger is driven by an underactuated wire-driven method that can be controlled by a single motor and has compliance and shape adaptive features. It also has the advantage of being modularized, easy to install and replace, and easy to maintain. The proposed finger module has a tip force of about 0.58 kg and its impact absorption capacity has been experimentally verified. In addition, gripping experiments were conducted on a total of four objects with different characteristics, and successful gripping was confirmed.

关键词： Service robots Shape Absorption Fingers Force Robot sensing systems Sensor systems Grippers Robots Smart manufacturing

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Performance Evaluation of Machine Learning Classifiers for Sudden Cardiac Arrest Detection

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Journal of The Institution of Engineers (India): Series B 2022年 1-7页

作者： Banerjee, Prakash Bhattacherjee, Saptak Dasgupta, Kousik Sen, Shibaprasad Department of Electrical and Electronics Engineering University of Engineering and Management Kolkata India School of Mechatronics and Robotics Indian Institute of Engineering Science and Technology Shibpur Howrah India Department of Computer Science and Engineering Kalyani Government Engineering College Kalyani India Department of Computer Science and Engineering University of Engineering and Management Kolkata India

Sudden cardiac arrest (SCA) is a type of cardiovascular disease which attacks a person so promptly that it gives minimum time for hospitalization and may also lead to the patient death. In order to save the patient from death, rapid detection of SCA just after the onset of symptoms with a high accuracy is very critical. Although numerous approaches of SCA detection based on electrocardiogram have been carried out, there is still need of standard method for SCA detection with high precession and fast detection. Hence, the present work proposes the use of four machine learning classifiers for detection of SCA based on temporal features extracted from ECG. Performance analysis of the classifiers used in this study on 19 SCA and 20 normal, i.e., healthy subjects, yields classification accuracies of 97.4%, 94.8%, 97.4% and 97.4% for SVM, decision tree, Naïve Bayes and KNN, respectively. Experimental results thus obtained demonstrate the potential of the proposed method as a promising alternative for SCA detection. © 2022, The Institution of Engineers (India).

关键词： Electrocardiograms

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Shadow Detection of Building Facades for Energy Efficiency Using YOLOv8 and Segmentation Techniques

Shadow Detection of Building Facades for Energy Efficiency U...

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Artificial Intelligence, robotics and Control (AIRC), International Conference on

作者： Nardine Radany Mostafa Abdelaziz Mechatronics and Robotics Mechanical Engineering Dept. The British University in Egypt (BUE) Cairo Egypt

ISBN: (数字)9798350385076

ISBN: (纸本)9798350385083

Effectively utilizing natural light in architectural design has a substantial impact on energy usage in addition to improving aesthetic appeal. This study presents a novel use of shadow detection for energy-saving projects and architects. We use two different AI approaches, segmentation techniques and YOLOv8, to automate recognizing shadows thrown on building facades. This paper starts with a thorough explanation of the importance of shadow analysis in architectural design, highlighting how it can maximize natural lighting and reduce energy use. First, we study how to recognize shadows on building facades using YOLOv8, a state-of-the-art object identification framework. This paper discusses how YOLOv8 was modified for this particular use case. Secondly, we explore Otsu's threshold segmentation method as an alternative approach to shadow detection. The YOLOv8 shadow detection approach is favored for its versatility across diverse input image types, enabling effective shadow detection even in dissimilar images. It efficiently identifies shadows by generating bounding boxes that indicate the degree of shadow accuracy. Otsu's threshold image segmentation is recommended for situations where additional image processing is intended, such as determining shadow areas using methods like background subtraction.

关键词： Image segmentation Renewable energy sources Accuracy Shape Image color analysis Buildings Process control

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The Design of a Triple-Band H-and Dual C-Shaped Planar Dipole Antenna for a Drone Application

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Progress In Electromagnetics Research C 2023年 134卷 103-117页

作者： Naktong, Watcharaphon Ruengwaree, Amnoiy Sakulchat, Suwat Promput, Sommart Department of Telecommunications Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Nakhon Ratchasima30000 Thailand Department of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Pathum Thani12110 Thailand Department of Electrical Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Phranakhon Si Ayutthaya13000 Thailand Department of Mechatronics and Robotics Engineering School of Engineering and Innovation Rajamangala University of Technology Tawan-ok Chonburi 20110 Thailand

This paper presents the study of an H-and dual C-shaped planar dipole antenna by adding and etching technique for the triple-band of drone operating frequencies. Tuning the frequency range was performed to cover the VOR standard of 108–118 MHz, GS standard of 328.6–335.4 MHz, and the DME standard of 962–1,231 MHz. The antenna structure was fabricated on a PCB of FR4 with a dielectric constant (Εr ) of 4.4 and thickness (h) of 1.6 mm (material with low cost, compact size, and easy to use). The reflection coefficient (S11) results of the simulation and measurement were in good agreement, which demonstrated the bandwidth frequencies of resonance frequency at 112 MHz (106– 118 MHz), 331.50 MHz (323–401 MHz), and 1,087.50 MHz (920–1,301 MHz). The antenna gains were 1.73, 3.43, and 6.31 dBi, respectively, and the antenna radiation pattern was omnidirectional when it was used with H-plane. It was found in experiment that the proposed antenna could be installed in a drone with sending and receiving signals fittingly as desired. Furthermore, the proposed antenna is lightweight at just 0.4 kg, less than the original drone antenna (1.8 kg), and it does not require changing the antenna in each frequency range. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Drones

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Development of a Lower Limb Gait Asymmetry Index with Cyclogram Analysis Using Image Processing 12

Development of a Lower Limb Gait Asymmetry Index with Cyclog...

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12th RSI International Conference on robotics and mechatronics, ICRoM 2024

作者： Etaati, Sepideh Javaherat, Fatemeh Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran K. N. Toosi University of Technology Advanced Robotics and Automated Systems lab. Faculty of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331529734

Ahstract- This study focuses on developing a gait asymmetry index and applying image processing techniques to cyclogram analysis. We evaluated gait asymmetry under different walking conditions, specifically examining the effects of wearing a knee brace and holding a weight in hand. Using inertial measurement units (IMUs), we collected gait data to analyze knee, hip, and ankle angles in the sagittal plane. The joint kinematics data were assessed using our proposed asymmetry index, which combines image processing techniques and linear regression models. The proposed asymmetry index incorporates cyclogram area, trend symmetry, and the longest length of the cyclogram shape, effectively capturing variations in symmetry and providing a comprehensive measure. The results demonstrate that the proposed asymmetry index can effectively distinguish between different gait conditions. The findings potentially offer insights for researchers and clinicians in human biomechanics, aiding in the planning of interventions and the assessment of motion patterns, as well as for developers of bipedal walking robots in the field of robotic locomotion, enhancing their ability to design hardware and evaluate motion patterns. © 2024 IEEE.

关键词： Robot programming

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