检索结果-内蒙古大学图书馆

2023 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2023

作者： Lan, Yeshen Rao, Chuchu School of Mechatronics Engineering Quzhou College of Technology Quzhou China

ISBN: (纸本)9781510677685

Aimed at the problem of bearing surface defect detection, a method based on context-aware saliency detection is proposed. Firstly, the image of bearing surface defects was preprocessed, and homomorphic filtering method was used to weaken the influence of uneven illumination and environment. Then, the saliency of the defect area was enhanced by the context-aware visual saliency detection method, and a saliency map highlighting the defect area was generated. Finally, Otsu method was used to segment the defect of saliency map, and the defect detection results were obtained. The results showed that the context-aware saliency detection method can accurately detect all kinds of defects on the bearing surface, and has better precision and recall than other significant detection methods. © 2024 SPIE.

关键词： Surface defects

来源：评论

学校读者我要写书评

暂无评论

Microstructure and properties of 35 kg large aluminum alloy flywheel housing components formed by squeeze casting with local pressure compensation

引用

China Foundry 2024年第5期21卷 563-576页

作者： Ju-fu Jiang Jing Yan Ying-ze Liu Ning Ge Ying Wang Chang-jie Ding De-chao Zou School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Dalian Innovation Die-casting Co. Ltd.Dalian 116600LiaoningChina

The squeeze casting method with local pressure compensation was proposed to form a flywheel housing component with a weight of 35 *** numerical simulation,microstructure observation and phase characterization were performed,and the influence of local pressure compensation on feeding of thick-wall position,microstructure and mechanical properties of the formed components were *** show that the molten metal keeps a good fluidity and the filling is complete during the filling *** the solidification at thick-wall positions of the mounting ports is slow,the local pressure compensation effectively realizes the local forced feeding,significantly eliminating the shrinkage cavity *** the microstructure of AlSi9Mg alloy,α-Al primarily consists of fragmented dendrites and rosette grains,while eutectic Si predominantly comprises needles and short *** impact of local pressure compensation on strength is relatively minimal,yet its influence on elongation is *** local pressure compensation,the average elongation at the compensated areas is 9.18%,which represents a 44.90%higher than that before *** average tensile strength is 209.1 MPa,and the average yield strength is 100.6 *** local pressure compensation can significantly reduce or even eliminate the internal defects in the 35 kg large-weight components formed by squeeze casting.

关键词： squeeze casting local pressure compensation aluminum alloy microstructure mechanical properties large flywheel housing components

来源：评论

学校读者我要写书评

暂无评论

Optimising pool boiling performance of hybrid nanofluids through desirability function analysis

引用

Materials Today: Proceedings 2023年 72卷 787-793页

作者： Sharma, Pravin Omprakash Unune, Deepak Rajendra Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur 302031 India

Enhancements in critical heat flux (CHF), heat transfer coefficient (HTC), and other thermal parameters of nanofluids produced during pool boiling of Ag/ZnO hybrid nanoparticles are examined in the current work. We also present a study comparing performance outputs obtained after optimising the conflicting response variables. Copper rods having a cylindrical geometry with 20 mm outer diameter and 35 mm length and their upper face being modified over the die-sink electro-discharge machine (EDM) at various parameter settings were used as a test piece. This process produced test pieces of varying roughness upon which the experimental trials were undertaken. In order to disseminate the hybrid nanoparticles in the base fluid, i.e., DI (de-ionized) water, volume concentrations () of 0.02, 0.06, and 0.1% were used to make stable nanofluids utilising a magnetic stirrer and an ultrasonicator. We carried out pool boiling experiments by adapting the Taguchi methodology to design the experiments. Our study demonstrates that the enhancements are a function of surface roughness and nanofluid concentration. The increased concentration of nanoparticles during pool boiling studies raised important metrics like CHF and HTC. Compared to DI water, Ag/ZnO hybrid nanofluids showed excellent gains in HTC (∼250%) and CHF (∼80%) at surface characteristics corresponding to EDM settings of I = 35 A and Ton = 100 µs. The degree of superheat required for boiling incipience contradicted the experimental surface and fluid combination that showed maximum enhancements. As a result, an attempt to optimise the overall boiling performance was undertaken by employing the desirability function analysis (DFA). Considerable improvements were seen in CHF, HTC, and ΔT (Wall superheat) after experimenting with the optimised settings obtained after DFA implementation and determination of the mean of means. No improvements in heat transfer were seen for nanofluid concentrations above > 0.1% due to the instabil

关键词： Heat flux

来源：评论

学校读者我要写书评

暂无评论

Exploring Classification, Size, and Quality of Mangifera Indica L. Through Image Processing and AI Techniques 2

Exploring Classification, Size, and Quality of Mangifera Ind...

引用

2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Wanthong, Irin Sri-On, Theeraphat Seangsri, Soontaree Khaengkarn, Sorada Srisertpol, Jiraphon Mechatronics Engineering Program School of Mechanical Engineering Suranaree University of Technology Nakhon Ratchasima Thailand Department of Mechatronics and Robotics Engineering School of Engineering and Innovation Rajamangala University of Technology Tawan-ok Chonburi Thailand

ISBN: (纸本)9781643685403

This paper introduces methods for efficiently classifying mangoes intended for export, a market valued at approximately 4,500 million baht annually. The classification process is divided into two primary components: size categorization and quality assessment. The first phase involves categorizing mango sizes into four distinct categories (M, 1L, 2L, 3L), while the second phase focuses on assessing mango quality, particularly detecting anthracnoseâ€"a prevalent disease affecting mangoes. This detection is achieved through image processing techniques, where images are converted into binary representations and analyzed using both Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs). Comparative analysis reveals that CNN outperforms ANN in size classification, achieving a remarkable train accuracy of 99.16% and a test accuracy of 88.0%. Furthermore, in quality classification, CNN demonstrates a train accuracy of 91.0% and a test accuracy of 88.0%. These findings underscore the effectiveness of CNN techniques in accurately classifying mangoes for export, thereby facilitating improved quality control and market competitiveness. Â© 2024 The Authors.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Motion planning system for unmanned aerial vehicles in dynamic three-dimensional space: a machine learning approach

引用

Neural Computing and Applications 2025年第5期37卷 3733-3757页

作者： Garibeh, Mohammad H. Al-Dahidi, Sameer Hayajneh, Mohammad Jaradat, Mohammad A. Alshorman, Ahmad Department of Mechatronics Engineering German Jordanian University Amman Jordan Mechanical and Maintenance Engineering Department German Jordanian University Amman Jordan Department of Mechatronics Engineering Faculty of Engineering The Hashemite University Zarqa Jordan Mechanical Engineering Department American University of Sharjah Sharjah United Arab Emirates Mechanical Engineering Department Jordan University of Science and Technology Irbid Jordan

Unmanned aerial vehicles (UAVs) have been highly enhanced in the last decade, targeting the deployment of UAV technology in different new applications in many fields. However, the motion control of the UAV during autonomous flight is still under development, especially in unstructured or dynamic environments. This paper presents an intelligent motion control framework using artificial potential field neural networks (APF-NNs) for UAVs in dynamic 3D environments. This approach is developed using potential field models for repulsive and attractive forces. Using the control commands of the APF-NN intelligent system, the UAV changes its planner position and altitude simultaneously to perform the path planning task. In other methods, the UAV only changes its planner positions for path planning task. The presented work is validated using simulations and field experiments. The proposed approach is outperforming existing fuzzy logic and classical potential field-based methods with a 75% and 86% reduction in computational time, 22% and 35% increase in inside success rate, 1.5% and 14.7% increase in the speed and 6.2% and 11% reduction in total traveled distance, respectively. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Towards next generation Internet of Energy system: Framework and trends

引用

Energy and AI 2023年第4期14卷 660-681页

作者： Muqit Farhan Tanzim N.Reza Faisal R.Badal Md.R.Islam S M Muyeen Z.Tasneem Md.Mehedi Hasan Md.F.Ali Md.H.Ahamed S.H.Abhi Md.Manirul Islam Subrata K.Sarker Sajal K.Das Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityDohaQatar

The quickening propensity of growth within the areas of information and communications technology and en-ergy networks has triggered the emergence of a central idea termed as Internet of Energy(IoE).Such a concept relates the internet of things,which is the term used in describing the usage of sophisticated digital control devices with the capability of transmitting data via IT *** concept of an interconnected energy network is being formed in the upcoming days through upgrades in the field of intelligent energy systems to control real-time energy optimization and *** energy industry has had a sustained expansion,reaching the IoE milestone and continuing to this cutting-edge power system,which is the next generation of IoE.A directional pathway from the traditional power system to the IoE has been conducted in this research work by addressing the importance of integrating the smart transmission and communication infrastructure,smart metering,pricing and energy management scheme.A detailed investigation of the IoE with respect to technical angles,such as communication architecture,IoE on the supply&demand side,and IoE protocol based on fundamental elements and essential technologies has been carried out to indicate the blueprint and jurisdiction *** inte-gration,security and energy management challenges may deviate the performance of the IoE technology that has been focused with proper control issues and ***,a directional framework to establish the next-generation IoE system has been constructed with future scopes to insure higher resiliency,cyber-security and stability.

关键词： Internet of Energy IoT Microgrid Smart grid Virtual power plant Next generation power system

来源：评论

学校读者我要写书评

暂无评论

A Perspective-Aware Cyclist Image Generation Method for Perception Development of Autonomous Vehicles

引用

Computers, Materials & Continua 2025年第2期82卷 2687-2702页

作者： Beike Yu Dafang Wang Xing Cui Bowen Yang School of Mechatronics Engineering Harbin Institute of TechnologyWeihai264200China China North Artificial Intelligence&Innovation Research Institute Beijing100000China

Realistic urban scene generation has been extensively studied for the sake of the development of autonomous vehicles. However, the research has primarily focused on the synthesis of vehicles and pedestrians, while the generation of cyclists is rarely presented due to its complexity. This paper proposes a perspective-aware and realistic cyclist generation method via object retrieval. Images, semantic maps, and depth labels of objects are first collected from existing datasets, categorized by class and perspective, and calculated by an algorithm newly designed according to imaging principles. During scene generation, objects with the desired class and perspective are retrieved from the collection and inserted into the background, which is then sent to the modified 2D synthesis model to generate images. This pipeline introduces a perspective computing method, utilizes object retrieval to control the perspective accurately, and modifies a diffusion model to achieve high fidelity. Experiments show that our proposal gets a 2.36 Fréchet Inception Distance, which is lower than the competitive methods, indicating a superior realistic expression ability. When these images are used for augmentation in the semantic segmentation task, the performance of ResNet-50 on the target class can be improved by 4.47%. These results demonstrate that the proposed method can be used to generate cyclists in corner cases to augment model training data, further enhancing the perception capability of autonomous vehicles and improving the safety performance of autonomous driving technology.

关键词： Realistic cyclist generation perspective-aware image synthesis autonomous vehicle artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Next-generation blockchain enabled smart grid: Conceptual framework, keytechnologies and industry practices review

引用

Energy and AI 2023年第2期12卷 187-205页

作者： Shekh S.Uddin Rahul Joysoyal Subrata K.Sarker S.M.Muyeen Md.Firoj Ali Md.Mehedi Hasan Sarafat Hussain Abhi Md.Robiul Islam Md.Hafiz Ahamed Md.Manirul Islam Sajal K.Das Md.Faisal R.Badal Prangon Das Zinat Tasneem Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityQatar

Technological advancements in smart grid energy systems (SGESs) are introducing sustainable frameworksto meet the demand for the fourth industrial energy revolution. These frameworks are planned to be usedin the forthcoming future to maintain the energy network operation with optimization, energy trading, gridautomation, and so on. Blockchain (BCn), developing after passing a diverse period of the research journey,comes to the mind of researchers and its integration in SGES paves the way to reach the goal of energydemand. However, still of interest is ongoing in the improvement of BCn features which can be regarded asthe next-generation blockchain framework. This paper exhibits the technical framework of the next-generationBCn framework and explores its benefits and challenges in performing the emerging aspects of SGES. Thisframework enables some advanced features for the sustainable operation of SGES like smart metering, peer-topeer (P2P) energy trading, self-operation, and transparency. The technical explanation of this BCn technologyestablished on essential features and requisites is also presented in this paper from various points of viewwhich include smart mechanism, intelligent storage system, and interoperability. We also highlight the recentprogress and limitations of the current BCn framework in SGES. Finally, some challenges towards integratingthe next-generation BCn technology in SGES are reported. This work can provide extended support for thepractitioner and researcher in the context of BCn technology and SGES.

关键词： Blockchain Smart grid energy system Smart contract

来源：评论

学校读者我要写书评

暂无评论

Design of Burr Detection System for Inside the Shaft Holes Using Computer Vision 2

Design of Burr Detection System for Inside the Shaft Holes U...

引用

2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Kawvijit, Nattapat Wanthong, Irin Srisertpol, Jiraphon Khaengkarn, Sorada School of Mechatronics Engineering Institution of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

ISBN: (纸本)9781643685403

The automotive sector aims to reduce the production of scraps or burrs, which requires the adoption of a deburring procedure and the utilization of inspection techniques. The existing inspection procedures involve the use of visual examination techniques. Nevertheless, as a result of the substantial quantity of components that necessitate examination and the small dimensions of the hole. Inspectors get weariness after prolonged periods of work. It commits errors with such ease. This study aims to investigate and develop a system for the inspection of burrs in shaft holes resulting from drilling operations. A system was designed to support the workpiece for examination holes of two different diameters-5 millimeters and 3 millimeters. The process of inspection sequentially examines each hole individually after the workpiece is positioned within the fixture. The image will be captured by the system via web camera, subsequently imported into the image analysis procedure via the blob analysis method, and finally converted to binary format. In the case of a defective hole, including the burr, a clean hole image will display a larger pixel on the bright or white side compared to the white side pixels. The confusion matrix was utilized for the purpose of evaluating accuracy. The 320 x 240 resolution with F-Score of 0.933 was selected for the system due to its efficient processing speed (18.6 seconds), lack of false positives, and capacity to optimize storage space. Â© 2024 The Authors.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

Study on Dry Electrical Discharge Assisted Grinding of SiCp/Al Composite

引用

Chinese Journal of Mechanical engineering 2025年第1期38卷 106-118页

作者： Yanjun Lu Yuming Huang Xiaobu Liu Rong Cheng Shunda Zhan Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China School of Intelligent Manufacturing and Equipment Shenzhen Institute of Information TechnologyShenzhen 518172China

SiC-reinforced aluminum matrix(SiCp/Al)composite is widely utilized in the aerospace,automotive,and electronics industries due to the combination of ceramic hardness and metal ***,the significant disparity in properties between SiC particles and the aluminum matrix results in severe tool wear and diminished surface quality during conventional *** study proposes an environmentally friendly and clean dry electrical discharge assisted grinding process as an efficient and low-damage machining method for SiCp/*** experimental platform was set up to study the impact of grinding and discharge process parameters on surface *** study compared the chip formation mechanism and surface quality between dry electrical discharge assisted grinding and conventional grinding,revealing relationships between surface roughness,grinding force,grinding temperature,and related *** results indicate that the proposed grinding method leads to smaller chip sizes,lower grinding forces and temperatures,and an average reduction of 19.2%in surface roughness compared to conventional *** axial,tangential,and normal grinding forces were reduced by roughly 10.5%,37.8%,and 23.0%,*** optimized process parameters were determined to be N=2500 r/min,vf=30 mm/min,a=10μm,E=15 V,f=5000 Hz,dc=80%,resulting in a surface roughness of 0.161μm.

关键词： Dry electrical discharge assisted grinding SiCp/Al composite Surface quality Grinding force Grinding temperature

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：