检索结果-内蒙古大学图书馆

CEANet: An end-to-end transformer based static-mobile points alignment approach

Signal, Image and Video Processing 2025年第8期19卷 1-13页

作者： Yesipov, Vladimir Mekala, M. S. Edge, Paul Elyan, Eyad School of Computing Engineering and Technology Robert Gordon University Aberdeen UK SABRE Advanced 3D Surveying Systems Ltd Aberdeenshire UK

Correspondence-based Point Cloud Registration (PCR) is crucial for 3D visualization applications, especially in change detection. Most PCR models depend on precise initialization using a set of closest points to establish correspondences, a method that often fails due to random variations in point positions and the influence of outliers. The presence of noise and outliers significantly compromises the quality of initial correspondences, leading to inaccuracies in alignment. While some correspondence-prediction methods inspired by nonconvex techniques show promise, they remain sensitive to the underlying data structure and are not well-suited for complex scenarios involving dynamic point clouds. In this paper, we propose a new approach: the Correspondence Evolving Assistant Network (CEANet), a point transformer-inspired mechanism designed to enhance point cloud registration. Unlike existing methods, CEANet leverages a unique conditional correspondence-fitness function that dynamically assesses and prioritizes inliers, allowing for more robust and accurate correspondence predictions through context-aware random sampling of key points. This allows CEANet to generate accurate correspondence coordinates while effectively accounting for rotation and translation in the registration process. Additionally, the model prioritizes inliers, systematically disregarding outlier points to refine transformation calculations and update point cloud alignment. The iterative process gradually removes outliers until all points fit within a defined bounding box (bbx), ensuring robust performance even in challenging environments. Specifically, registering static-to-mobile point clouds is challenging due to temporal misalignment and varying viewpoints, but the received results are notable on SABRE and Kitti dataset. Extensive experiments proved that the proposed method produced competitive results with state-of-the-art methods, achieving accurate fitness performance of +5.18E+08 and +7.33E+

关键词：

来源：评论

学校读者我要写书评

暂无评论

Three-dimensional surface topography analysis of die-sinking electrical discharge machined eco-friendly beryllium-free copper alloys

引用

The International Journal of Advanced Manufacturing Technology 2025年 1-43页

作者： Vijayan, Vipin Saju, Kaiprappady Kunchu Sundaresan, Jithin Division of Mechanical Engineering School of Engineering Cochin University of Science and Technology Kochi India Department of Mechanical Engineering Muthoot Institute of Technology and Science Ernakulam India Business Information Systems Program Information Systems Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia

Beryllium-copper alloys, the most widely used copper alloys, are utilised extensively in diverse sectors, including the electrical, electronics, instrumentation, metallurgy, aerospace, automotive, petrochemical, machinery manufacturing, and die and mould-making industries. The main drawback of these alloys is that they produce the toxic component, beryllium oxide, which can lead to a chronic lung disease known as berylliosis. Beryllium-free copper alloys, such as copper-nickel-silicon-chromium, are eco-friendly, less costly, and possess properties similar to those of beryllium-copper alloys. Hence, they are now replacing beryllium-copper alloys in the applications mentioned earlier. Due to their high strength and hardness, these alloys are often fabricated into components using unconventional machining techniques, such as electrical discharge machining. Electrical discharge machining is particularly advantageous in industrial applications where precisely controlled random surface textures on these alloys are required. However, despite the industrial significance, research on the electrical discharge machining process of copper-nickel-silicon-chromium alloys is scarce. Therefore, the current work aims to address this research gap by conducting an experimental investigation of the random surfaces generated on copper-nickel-silicon-chromium alloy components after the die-sinking electrical discharge machining process through a comprehensive three-dimensional surface topography analysis. Three-dimensional surface topography parameters overcome the drawbacks of two-dimensional roughness parameters by considering the majority of surface points. This work investigates the effects of input factors, including electrode material, dielectric fluid material, flushing condition, and current on nearly all relevant areal texture (3D) parameters. ANOVA is performed to study the level of significance of each input parameter. The regression analyses reveal that current is the most si

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modeling Industrial IoT Security Using Ontologies: A Systematic Review

IEEE Open Journal of the Communications Society

引用

IEEE Open Journal of the Communications Society 2025年 6卷 2792-2821页

作者： Muhammad Aslam Jarwar Jeremy Watson Sajjad Ali School of Computing and Digital Technologies Sheffield Hallam University Sheffield U.K. Department of Science Technology Engineering and Public Policy University College London London U.K. School of Computing Engineering and Intelligent Systems Ulster University Londonderry U.K.

The significance of Industrial Internet of Things (IIoT) is undeniable, yet many critical industries remain hesitant to adopt it due to fundamental security, transparency and safety concerns. Developing a mechanism to address these concerns is challenging, as it involves a large number of heterogeneous devices, complex relations and human-machine contextual factors. This article presents a comprehensive analysis through a systematic review of ontologies and key security attributes essential for modelling the security of IIoT environments. Our review includes an extensive analysis of research articles, semantic security ontologies, and cybersecurity standards. Through this analysis, we identify critical security concepts and attributes, which can be leveraged to develop standardised security ontologies tailored for IIoT. Additionally, we explore the potential of integrating ontologies into the Industry 5.0 paradigm, which emphasises human-centricity, resilience, and sustainability. While ontologies offer structured modelling capabilities, their alignment with Industry 5.0’s unique collaborative and adaptive security needs remains limited. Our review suggests that existing security ontologies are not fully aligned with security goals, exposing many important research gaps. These gaps include areas such as semantic mapping techniques, security-by-design ontologies, holistic security standards, and ontologies that address the sociotechnical aspects of IIoT.

关键词： Security Ontologies Industrial Internet of Things Surveys Computer security Fifth Industrial Revolution Semantics Analytical models Integrated circuit modeling Industries

来源：评论

学校读者我要写书评

暂无评论

Sound Judgment: Properties of Consequential Sounds Affecting Human-Perception of Robots 25

Sound Judgment: Properties of Consequential Sounds Affecting...

引用

ACM/IEEE International Conference on Human-Robot Interaction (HRI)

作者： Aimee Allen Tom Drummond Dana Kulić Faculty of Engineering Monash University Melbourne Australia School of Computing and Information Systems University of Melbourne Melbourne Australia

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

Positive human-perception of robots is critical to achieving sustained use of robots in shared environments. One key factor affecting human-perception of robots are their sounds, especially the consequential sounds which robots (as machines) must produce as they operate. This paper explores qualitative responses from 182 participants to gain insight into human-perception of robot consequential sounds. Participants viewed videos of different robots performing their typical movements, and responded to an online survey regarding their perceptions of robots and the sounds they produce. Topic analysis was used to identify common properties of robot consequential sounds that participants expressed liking, disliking, wanting or wanting to avoid being produced by robots. Alongside expected reports of disliking high pitched and loud sounds, many participants preferred informative and audible sounds (over no sound) to provide predictability of purpose and trajectory of the robot. Rhythmic sounds were preferred over acute or continuous sounds, and many participants wanted more natural sounds (such as wind or cat purrs) in-place of machine-like noise. The results presented in this paper support future research on methods to improve consequential sounds produced by robots by highlighting features of sounds that cause negative perceptions, and providing insights into sound profile changes for improvement of human-perception of robots, thus enhancing human robot interaction.

关键词： Surveys Psychoacoustics Noise Human-robot interaction Trajectory Robots Videos

来源：评论

学校读者我要写书评

暂无评论

Sound Judgment: Properties of Consequential Sounds Affecting Human-Perception of Robots

arXiv

引用

arXiv 2025年

作者： Allen, Aimee Drummond, Tom Kulić, Dana Faculty of Engineering Monash University Melbourne Australia School of Computing and Information Systems University of Melbourne Melbourne Australia

关键词： Social robots

来源：评论

学校读者我要写书评

暂无评论

Enhancing motor imagery EEG signal decoding through machine learning: A systematic review of recent progress

引用

Computers in Biology and Medicine 2025年 185卷 109534-109534页

作者： Hameed, Ibtehaaj Khan, Danish M. Ahmed, Syed Muneeb Aftab, Syed Sabeeh Fazal, Hammad Department of Telecommunications Engineering NED University of Engineering and Technology Karachi Pakistan Department of Computing and Information Systems School of Engineering and Technology Sunway University Petaling Jaya Selangor47500 Malaysia

This systematic literature review explores the intersection of neuroscience and deep learning in the context of decoding motor imagery Electroencephalogram (EEG) signals to enhance the quality of life for individuals with motor disabilities. Currently, the most used non-invasive method for measuring brain activity is the EEG, due to its high temporal resolution, user-friendliness, and safety. A Brain Computer Interface (BCI) framework can be made using these signals which can provide a new communication channel to people that are suffering from motor disabilities or other neurological disorders. However, implementing EEG-based BCI systems in real-world scenarios for motor imagery recognition presents challenges, primarily due to the inherent variability among individuals and low signal-to-noise ratio (SNR) of EEG signals. To assist researchers in navigating this complex problem, a comprehensive review article is presented, summarizing the key findings from relevant studies since 2017. This review primarily focuses on the datasets, preprocessing methods, feature extraction techniques, and deep learning models employed by various researchers. This review aims to contribute valuable insights and serve as a resource for researchers, practitioners, and enthusiasts interested in the combination of neuroscience and deep learning, ultimately hoping to contribute to advancements that bridge the gap between the human mind and machine interfaces. © 2024 Elsevier Ltd

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Sanitizable Cross-domain Access Control with Policy-driven Dynamic Authorization

引用

IEEE Transactions on Dependable and Secure computing 2025年

作者： Sun, Jianfei Xu, Guowen Li, Hongwei Zhang, Tianwei Wu, Cong Yang, Xuehuan Deng, Robert H. School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China School of Computer Science and Engineering Nanyang Technological University Singapore School of Computing and Information Systems Singapore Management University Singapore

The increasing demand for secure and efficient data sharing has underscored the importance of developing robust cryptographic schemes. However, many existing endeavors have overlooked the following critical issues: (1) unauthorized access resulting from malicious information leakage by senders;(2) absence of constraints on write and read permissions for participants;(3) and inflexibility of strategies to dynamically designate ciphertexts to multiple recipients. In this paper, we present SCPA, a cross-domain access control scheme imbued with sanitization features and propelled by policy-driven dynamic authorization, tailored for cloud-based data sharing. This scheme not only facilitates access controls, including regulations for no-read and no-write stipulations, governing the data permissible for senders to transmit and recipients to acquire but also enables the dynamic sharing of a data ciphertext subset with additional recipients beyond the originally sanctioned ones. We also provide comprehensive security proofs rigorously indicating the security of the invented SCPA. Moreover, to assess the efficacy of our SCPA, we undertake thorough theoretical and experimental analyses, showcasing its feasibility and superior performance. © 2004-2012 IEEE All rights reserved.

关键词： Ciphertext

来源：评论

学校读者我要写书评

暂无评论

GENSIMO - A Generic Framework for Modelling Social Insurance systems 25th

GENSIMO - A Generic Framework for Modelling Social Insuranc...

引用

25th International Workshop on Multi-Agent-Based Simulation, MABS 2024

作者： de Haan, Fjalar J. Thompson, Jason School of Computing and Information Systems Faculty of Engineering and Information Technology The University of Melbourne Parkville Australia Melbourne Centre for Data Science The University of Melbourne Parkville Australia Department of Psychiatry Faculty of Medicine Dentistry and Health Sciences The University of Melbourne Parkville Australia

ISBN: (纸本)9783031880162

We report on the design, development and prototype testing of gensimo (GENeric Social Insurance MOdeling), a free and open-source software framework for modelling and simulation of social insurance systems. We discuss the conceptual and software design considerations of the framework in general before demonstrating how it works in detail by setting it up to model a particular social insurance scheme. We then present how we used this prototype set up to model the impact of a policy intervention on the workload of the insurer. While gensimo is under active development and we are a while away from serious verification and validation, this prototype testing shows realistic results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images

引用

Multimedia Tools and Applications 2025年第9期84卷 5699-5723页

作者： Davamani, K. Anita Jawahar, Malathy Anbarasi, L. Jani Ravi, Vinayakumar Al Mazroa, Alanoud Robin, C. R. Rene Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India Leather Process Technology Division CSIR-Central Leather Research Institute Chennai India School of Computing Science and Engineering Vellore Institute of Technology Vellore India Computer Science and Engineering Sri Sairam Engineering College Sirukalathur India Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh11671 Saudi Arabia

Leukemia, a malignant disease characterized by the rapid proliferation of specific types of white blood cells (WBC), has prompted increased interest in leveraging automatic WBC classification system. This study presents the design of a robust WBC classification system, integrating deep learning with microscopic image analysis. The proposed classification model is designed to categorize blood cells into four distinct groups: eosinophil, lymphocyte, monocyte, and neutrophil. The study employs a Kaggle image dataset for comprehensive learning. The dataset comprises 12,500 microscopic images used to categorize the four blood cell groups. To enhance performance and reduce the likelihood of overfitting, transfer learning techniques are employed. Six deep transfer learning models namely VGG16, ResNet50, AlexNet, MobileNet, GoogLeNet, and EfficientNetBO are used for feature extraction and classification. The results of the experiments show that VGG16 and MobileNet demonstrated enhancements compared to other pre-trained models when evaluated on both augmented and original datasets. A diverse set of evaluation criteria was employed to thoroughly assess the effectiveness of medical image classification. Notably, the VGG16 and MobileNet models accurately predicted Lymphocytes and Monocytes with a 100% accuracy rate, and Eosinophil and Neutrophil with rates of 99.35% and 99.81%, respectively. This research work empower medical practitioners, particularly in the field of pathology and hematology by providing advanced tools for accurate blood cell classification. The proposed VGG16 and MobileNet models hold promise for simplifying WBC classification, improving decision-making processes, and ultimately advancing patient care in the medical domain. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration 25

Can you pass that tool?: Implications of Indirect Speech in ...

引用

Proceedings of the 2025 CHI Conference on Human Factors in computing systems

作者： Yan Zhang Tharaka Sachintha Ratnayake Cherie Sew Jarrod Knibbe Jorge Goncalves Wafa Johal School of Computing and Information Systems University of Melbourne Melbourne VIC Australia University of Melbourne Melbourne Australia School of Computing and Information Systems University of Melbourne Melbourne Australia School of Electrical Engineering and Computer Science The University of Queensland St Lucia QLD Australia

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：