检索结果-内蒙古大学图书馆

Stair Overcoming Robot Using Splitting Wheel

Journal of Institute of Control, Robotics and systems 2024年第3期30卷 219-225页

作者： Shin, Ju-Hyeop Lim, Ji-Ho Shin, Dongwon Department of Mechanical System Engineering Kumoh National Institute of Techology Korea Republic of

In this study, we introduce the design of a mobile robot with a splitting wheel to improve stability when overcoming stairs. The designed mobile robot usually moves on circular wheels but can convert into a split shape to climb stairs. Splitting wheels differ from traditional transformable wheels in that they split apart rather than transform into a leg-like structure, making the separation process more reliable. The splitting wheel allows the robot to switch from circular wheels for regular movement to a split configuration for climbing stairs. Furthermore, unlike traditional transformable wheels, the splitting wheels keep contact with the stairs while climbing, reducing the robot's swaying and enhancing stability. The performance of the designed robot was validated using a dynamic analysis program that compared a robot with a splitting wheel to one with traditional transformable wheels. This performance involved simulating wheel-stair separation moments and assessing the robot's stability in motion. Subsequently, we built the robot and tested its ability to climb stairs. Such a robot using a splitting wheel will likely find applications in various fields, including delivery and office-related tasks. © ICROS 2024.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Radius-increasing Expanding Wheel for Rough Terrain Robots

引用

Journal of Institute of Control, Robotics and systems 2024年第3期30卷 234-240页

作者： Kim, Seon-Woo Kim, Min-Soo Choi, Kyung-Jin Shin, Dongwon Department of Mechanical System Engineering Kumoh National Institute of Technology Korea Republic of

This study proposes the radius-increasing expanding wheel to solve problems encountered by conventional variable wheels. Conventional wheels have difficulty achieving high-speed travel due to their incomplete circular shape during transformation, leading to non-contact spaces and impacts that contribute to wheel durability deterioration. However, the expanding wheel addresses these issues by improving obstacle-surmounting performance through wheel extension. Three expanding wheels, spaced 45 degrees apart, maintain a circular shape after expansion, reducing non-contact spaces during travel while retaining the advantage of fast travel inherent to wheel locomotion. The expanding wheel is powered by a dual-motor system that allows transitions between regular driving mode, wheel expansion mode, and expansion driving mode, dependent on the relative movement of each motor. The proper movement of the expanding wheel was tested through dynamic analysis using simulation programs. The comparison of expansion velocity to theoretical calculations proved the expansion mechanism’s normal motion. The expanding wheel’s capability to overcome rough terrain makes it a promising solution for mobile robot navigation, with applications in delivery and transportation. © ICROS 2024.

关键词： Wheels

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Impressed Potential on Buried Pipelines near HVDC Grounding Electrodes Considering the Polarization Effect

引用

CSEE Journal of Power and Energy systems 2024年第6期10卷 2667-2674页

作者： Bo Zhang Fangyuan Cao Xiaobo Meng State Key Lab of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Electrical Engineering Guangzhou UniversityGuangzhou 510080China

When a long distance HVDC transmission system discharges current into the earth through its grounding electrode,ground potential differences appear in a large *** therefore part of the DC current may flow into nearby pipelines which may be dangerous to the equipment and personnel,and may aggravate *** this paper,an equivalent circuit based on the method of moments is introduced to calculate the current and potential distributions along a pipeline with damaged anticorrosive *** current-dependent electrochemical polarization potential between soil and the metal pipe,due to the damage of the anticorrosive coating,is taken into account by using the Newton-Raphson *** circuit is verified through a reduced scale *** examining the circuit,the effect of the damaged anticorrosive coating on the leakage current and the pipe potential with respect to soil along the pipeline is analyzed.

关键词： Circuit modeling corrosion grounding HVDC Transmission moment methods pipeline polarization

来源：评论

学校读者我要写书评

暂无评论

Guest editorial:Special Issue on Artificial Intelligence and Emerging Computational Approaches for Tribology

引用

Friction 2024年第6期12卷 1057-1059页

作者： Zhinan ZHANG Shuaihang PAN Bart RAEYMAEKERS State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA Department of Mechanical Engineering Virginia TechBlacksburgVA 24061USA

Tribo-behavior is a complex system-based time-dependent process,and it is difficult to accurately model a tribo-system and predict its ***,tribology research,in most cases,has relied on extensive *** by the artificial intelligence(AI)-for-science revolution,AI and other emerging computational approaches provide opportunities to explore the complex processes in tribo-systems and the physical mechanisms of tribo-behavior in an efficient way,significantly pushing the boundaries of tribology research.

关键词： behavior editorial artificial

来源：评论

学校读者我要写书评

暂无评论

Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection

引用

Computer Modeling in engineering & Sciences 2025年第2期142卷 1667-1695页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saifur Rahman Saad Arif Salim Nasar Faraj Mursal Muhammad Irfan Haris Aziz Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl Ahsa31982Saudi Arabia Department of Mechanical Industrial and Energy System EngineeringUniversity of SargodhaSargodha40100Pakistan

Ransomware attacks pose a significant threat to critical infrastructures,demanding robust detection *** study introduces a hybrid model that combines vision transformer(ViT)and one-dimensional convolutional neural network(1DCNN)architectures to enhance ransomware detection *** common challenges in ransomware detection,particularly dataset class imbalance,the synthetic minority oversampling technique(SMOTE)is employed to generate synthetic samples for minority class,thereby improving detection *** integration of ViT and 1DCNN through feature fusion enables the model to capture both global contextual and local sequential features,resulting in comprehensive ransomware *** on the UNSW-NB15 dataset,the proposed ViT-1DCNN model achieved 98%detection accuracy with precision,recall,and F1-score metrics surpassing conventional *** approach not only reduces false positives and negatives but also offers scalability and robustness for real-world cybersecurity *** results demonstrate the model’s potential as an effective tool for proactive ransomware detection,especially in environments where evolving threats require adaptable and high-accuracy solutions.

关键词： Ransomware attacks cybersecurity vision transformer convolutional neural network feature fusion encryption threat detection

来源：评论

学校读者我要写书评

暂无评论

Condition-based maintenance plan for multi-state systems using reinforcement learning

引用

International Journal of Reliability and Safety 2024年第2期18卷 144-162页

作者： Gan, Shuyuan Yousefi, Nooshin Coit, David W. Department of Mechanical Engineering Jiangsu University Jiangsu Zhenjiang China Department of Industrial & System Engineering Rutgers University PiscatawayNJ United States

In this paper, a dynamic condition-based maintenance model is presented for a degrading system using a reinforcement learning approach. The system utilises a critical machine with multiple production states, which are estimated and obtained by some measurable indicators. Within the framework of the suggested maintenance policy, both the production state and machine virtual age are considered during the decision-making process for maintenance actions. The system is inspected at periodic times, and at each inspection, an action is selected from those that are available regarding spare parts and maintenance. Replacement and different levels of imperfect repairs are both considered. Additionally, the ordering of spare parts is also involved. The problem is formulated by using a discrete time Markov decision process and solved by the Q-learning algorithm. Numerical examples are provided to illustrate the proposed method. Also, the results indicate that the proposed method is time-saving and more cost-efficient than traditional methods. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Design of Fractional-order Sliding Mode Controller and Fractional-order Extended State Observer for a PMSG-based Wind Turbine system with MPPT Control

引用

Journal of Institute of Control, Robotics and systems 2023年第5期29卷 443-451页

作者： Han, Seong-Ik Department of Mechanical System Engineering Dongguk University WISE Campus Korea Republic of

This paper designs a fractional-order sliding mode control (FSMC) of a permanent magnet synchronous generator (PMSG)-based wind energy conversion system, where attempts to extract the maximum wind power point tracking (MPPT). The combination of generator nonlinearities and parameter uncertainties may be issued to obtain the desired maximum wind power. A robust FSMC and fractional-order extended state observer are considered to address the given challenges and yield the enhanced control performance of the PMSG based wind turbine system by the MPPT technique. Simulations are carried out to examine the proposed control system for two cases with the variable step and randomly varied wind speed conditions. The simulation results verified the effectiveness and superiority of the FSMC system compared with the conventional control methods. Copyright© ICROS 2023.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

Development of a Method for Detecting Cutting Points of Wilted Leaves Using 2D Image Keypoints and 3D Point Cloud

引用

Journal of Institute of Control, Robotics and systems 2024年第11期30卷 1237-1244页

作者： Kang, Byeong Chang Jung, Ho Won Kim, Jong Hyeong Department of Mechanical Design and Robot Engineering Seoul National University of Science and Technology Korea Republic of Department of Mechanical System and Design Engineering Seoul National University of Science and Technology Korea Republic of

In agriculture, removing withered leaves is crucial for maintaining crop quality and preventing pests and diseases. This paper proposes a method for estimating the pose of wilted leaves and removing wilted leaves. While estimating precisely 3D location and pose information is essential for this task, most of previous methods for pose estimation have difficulty in processing time due to the complexity of feature extraction from 3D point cloud. The proposed method utilizes the YOLOv8 keypoint detection model to obtain image information, and YOLOv7 instance segmentation to isolate the region of interest. We calculate the 3D coordinates of the cutting point and the 3D rotation of the wilted leaf by applying RANSAC plane fitting and projection on 3D point cloud, simplifying the information required for the task. The method was validated using five types of model plant pots, achieving an average processing time of 98.584 ms and an accuracy of 3.83 mm. Additionally, the method recorded a 78% success rate in the removal of withered leaves. © 2024, Institute of Control, Robotics and systems. All rights reserved.

关键词： Machine vision

来源：评论

学校读者我要写书评

暂无评论

Mechanism Development of Separable Trimaran Robot With Multiple Rescue Methods

引用

Journal of Institute of Control, Robotics and systems 2025年第1期31卷 29-36页

作者： Kim, Yugyeom Kim, Hyun-Sik Department of Mechanical System Engineering Tongmyong University Korea Republic of School of Electrical and Control Tongmyong University Korea Republic of

In recent years, the need for surface life-saving is gradually increasing as a response to accidents such as ship collisions in the marine environment. To solve this problem, there were approaches that launched life-saving rings, approached humans closely using rescue robots, and monitored life-saving status using drones. However, they did not solve the problem simultaneously in terms of rapidity, accuracy, and safety. To resolve this problem, a separable trimaran robot with a life-saving ring launcher and a drone is proposed and its mechanism is developed. Straightness, turning, launching, restoring and recover tests were performed to verify the validity of the proposed robot mechanism. Experimental results show that the proposed robot mechanism enables a rapid, accurate and safe surface life-saving. Therefore, it shows that the mechanism has meaningful components in surface life-saving and has the possibility of real system application. © ICROS 2025.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

AI for tribology:Present and future

引用

Friction 2024年第6期12卷 1060-1097页

作者： Nian YIN Pufan YANG Songkai LIU Shuaihang PAN Zhinan ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA

With remarkable learning capabilities and swift operational speeds,artificial intelligence(AI)can assist researchers in swiftly extracting valuable patterns,trends,and associations from subjective *** behaviors are characterized by dependence on systems,evolution with time,and multidisciplinary *** friction process involves a variety of phenomena,including mechanics,thermology,electricity,optics,magnetics,and so ***,tribological information possesses the distinct characteristics of being multidisciplinary,multilevel,and multiscale,so that the application of AI in tribology is highly *** delineate the scope,classification,and recent trends of AI implementation in tribology,this review embarks on exploration of the tribology research *** comprehensively outlines the utilization of AI in basic theory of tribology,intelligent tribology,component tribology,extreme tribology,bio-tribology,green tribology,and other ***,considering the emergence of"tribo-informatics"as a novel interdisciplinary field,which combines tribology with informatics,this review elucidates the future directions and research framework of"AI for tribology".In this paper,tribo-system information is divided into 5 categories:input information(I),system intrinsic information(S),output information(O),tribological state information(Ts),and derived state information(Ds).Then,a fusion method among 5 types of tribo-system information and different AI technologies(regression,classification,clustering,and dimension reduction)has been proposed,which enables tribo-informatics methods to solve common problems such as tribological behavior state monitoring,behavior prediction,and system *** purpose of this review is to offer a systematic comprehension of tribo-informatics and to inspire new research ideas of ***,it aspires to enhance the efficiency of problem-solving in tribology.

关键词： artificial intelligence(AI) tribology machine learning tribo-informatics AI for tribology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：