检索结果-内蒙古大学图书馆

Three-Dimensional Collision Avoidance Method for Robot-Assisted Minimally Invasive Surgery

Cyborg and Bionic Systems 2023年第1期4卷 121-135页

作者： Ling Li Xiaojian Li Bo Ouyang Hangjie Mo Hongliang Ren Shanlin Yang School of Management Hefei University of TechnologyHefeiChina Key Laboratory of Process Optimization and Intelligent Decision-Making(Ministry of Education) Hefei University of TechnologyHefeiChina Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance(Ministry of Education) Hefei University of TechnologyHefeiChina Department of Biomedical Engineering Faculty of EngineeringNational University of SingaporeSingaporeSingapore Department of Electronic Engineering Shun Hing Institute of Advanced EngineeringThe Chinese University of Hong KongHong KongChina National Engineering Laboratory for Big Data Distribution and Exchange Technologies ShanghaiChina

In the robot-assisted minimally invasive surgery,if a collision occurs,the robot system program could be damaged,and normal tissues could be *** avoid collisions during surgery,a 3-dimensional collision avoidance method is proposed in this *** proposed method is predicated on the design of 3 strategic vectors:the collision-with-instrument-avoidance(CI)vector,the collision-with-tissues-avoidance(CT)vector,and the constrained-control(CC)*** CI vector demarcates 3 specific directions to forestall collision among the surgical *** CT vector,on the other hand,comprises 2 components tailored to prevent inadvertent contact between the robot-controlled instrument and nontarget ***,the CC vector is introduced to guide the endpoint of the robot-controlled instrument toward the desired position,ensuring precision in its movements,in alignment with the surgical *** results verify the proposed collision avoidance method for robot-assisted minimally invasive *** code and data are available at https://***/cynerelee/collision-avoidance.

关键词： collision desired verify

来源：评论

学校读者我要写书评

暂无评论

Crop classification method using multi-feature optimal selection combined with an ensemble learning model: A case study of the Sanjiang Plain 5

Crop classification method using multi-feature optimal selec...

引用

5th International Conference on Geology, Mapping, and Remote Sensing, ICGMRS 2024

作者： Huang, Linsheng Lu, Qibao Huang, Wenjiang Li, Jinsong National Engineering Research Center for Agro-Ecological Big Data Analysis& Application Anhui University Hefei China State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Science Beijing China Institute of Space Integrated Ground Network Anhui Co. Ltd. Hefei China

ISBN: (纸本)9781510681712

Crop classification is a crucial step in crop monitoring and yield estimation. Integrating multi-source and multi-temporal remote sensing images can effectively enhance the accuracy of crop classification, but it leads to an increase in the dimensionality of features. It is necessary to employ appropriate feature selection methods and classification algorithms to improve the precision and efficiency of the classification. Therefore, this study takes the Sanjiang Plain as an example, combines multi-temporal features of Sentinel-1/2 images, and conducts research on crop classification methods using the XGBoost ensemble learning algorithm through feature selection methods. The research results show that the feature selection combined with the XGBoost algorithm yields the optimal classification results, reducing the feature dimensions from 195 to 33, with spectral features being the most important. The Kappa coefficient reached 0.941, which is 0.024 and 0.059 higher than RF and SVM, respectively. The error in crop area extraction results compared to the official statistical data is less than 14%. This method can accurately and efficiently perform crop classification, providing a reference for crop classification in the Sanjiang Plain and similar regions. © 2024 SPIE.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

A Scenario-Based Synchronization Framework for Construction Logistics Scheduling in Urban Areas

A Scenario-Based Synchronization Framework for Construction ...

引用

2023 International Conference on Automation in Manufacturing, Transportation and Logistics, iCaMaL 2023

作者： Yin, Li Li, Guojin Zhao, Shuxuan Zhang, Wennan Zhon, Ray Y. Wang, Junliang Department of Industrial and Manufacturing Systems Engineering University of Hong Kong Hong Kong Central South Architectural Design Institute Co. Ltd Wuhan China Institute of Artificial Intelligence Shanghai Engineering Research Centre of Industrial Big Data and Intelligent system Donghua University Shanghai China

ISBN: (纸本)9781839539954

A method that boosts the effectiveness of construction logistics is logistics scheduling for on-site and off-site construction in a hybrid paradigm. Inspired by the telecommunications routing system, a two-stage scheduling model with LAN (local area network) and WAN (wide area network) logistics scheduling is proposed. The WAN logistics scheduling focuses on the coordination of cross-city logistics. And the LAN logistic scheduling focuses on logistics in urban areas. A four-step LAN logistics scheduling method is designed, containing: arrival schedule, schedule modification, LAN logistics schedule, and schedule confirmation. A case study is conducted with a BIM-GIS-based residential construction model to demonstrate the effectiveness of the proposed logistic scheduling problem. © The Institution of engineering & Technology 2023.

关键词： CONSTRUCTION LOGISTICS SCHEDULING SYNCHRONIZATION TRAFFIC SIMULATION URBAN AREAS

来源：评论

学校读者我要写书评

暂无评论

Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning

Low-Latency Cooperative Spectrum Sensing via Truncated Verti...

引用

2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Zhang, Zezhong Zhu, Guangxu Cui, Shuguang Shenzhen China The School of Science and Engineering Shenzhen China Shenzhen Research Institute of Big Data Shenzhen China Pengcheng Lab Shenzhen China

ISBN: (纸本)9781665459754

In recent years, the exponential increase in the demand of wireless data transmission rises the urgency for accurate spectrum sensing approaches to improve spectrum efficiency. The unreliability of conventional spectrum sensing methods by using measurements from a single secondary user (SU) has motivated research on cooperative spectrum sensing (CSS). In this work, we propose a vertical federated learning (VFL) framework to exploit the distributed features across multiple SUs without compromising the data privacy. However, the repetitive training process in VFL faces the issue of high communication latency. To accelerate the training process, we propose a truncated vertical federated learning (T-VFL) algorithm, where the training latency is highly reduced by integrating the standard VFL algorithm with a channel-aware user scheduling policy. The convergence performance of T-VFL is provided via mathematical analysis and justified by simulation results. Moreover, to guarantee the convergence performance of the T-VFL algorithm, we conclude three design rules on the neural architectures used under the VFL framework, whose effectiveness is proved through simulations © 2022 IEEE.

关键词： data privacy

来源：评论

学校读者我要写书评

暂无评论

PUF-Based Privacy-Preserving Simultaneous Authentication Among Multiple Vehicles in VANET

引用

IEEE Transactions on Vehicular Technology 2024年第5期73卷 6727-6739页

作者： Awais, Syed Muhammad Yucheng, Wu Mahmood, Khalid Akram, Muhammad Wahid Hussain, Shafiq Das, Ashok Kumar Park, Youngho Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Yunlin64002 Taiwan University of Lahore Department of Software Engineering Punjab Lahore54590 Pakistan University of Sahiwal Department of Computer Science Punjab Sahiwal57000 Pakistan International Institute of Information Technology Center for Security Theory and Algorithmic Research Telangana Hyderabad500032 India Kyungpook National University School of Electronics Engineering Daegu41566 Korea Republic of

The intellectual and immense attainment of a smart city and auto-mobile vehicles are gradually growing. This growth drives Vehicular Ad-Hoc Network (VANET), a broadly operated complex network for inter-vehicular transmission to acquire information relevant to the vehicle location, road condition, traffic congestion, and speed. Generally, this information is procured through an open-source communication, which is susceptible to various security threats. In broad terms, the privacy of data in VANET is considered an imperative task. In this regard, many authentication protocols are formerly initiated for VANET. Most of these protocols are precarious owing to eavesdropping, replay, and impersonation attacks, etc. Furthermore, most existing protocols operates on enormous communication and computation rate, which turns them inadequate for VANET. This paper exhibits a lightweight privacy-preserving authentication protocol for n number of vehicles in VANET using the physical unclonable function (PUF) technique, and offers efficient and secure communication via public channels. Moreover, we evaluate our protocol formally and informally, showing that it is scalable, lightweight, and safe compared to formerly protocols. The rate of computation and communication is less than most related protocols. We also simulate the proposed scheme using the NS-3 simulator to measure its various network performance parameters. As a result, it is apparent through the beheld statistics that the presented protocol is beyond practical, efficient, and reliable for the secure dissemination of information in VANET. © 1967-2012 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities 24

On the Effectiveness of Function-Level Vulnerability Detecto...

引用

44th ACM/IEEE International Conference on Software engineering, ICSE 2024

作者： Li, Zhen Wang, Ning Zou, Deqing Li, Yating Zhang, Ruqian Xu, Shouhuai Zhang, Chao Jin, Hai Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hong Kong Jin YinHu Laboratory Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China University of Colorado Colorado Springs Department of Computer Science Colorado Springs Colorado United States Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798400702174

Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as function-level vulnerability detectors. However, the limitation of this approach is not understood. In this paper, we investigate its limitation in detecting one class of vulnerabilities known as inter-procedural vulnerabilities, where the to-be-patched statements and the vulnerability-triggering statements belong to different functions. For this purpose, we create the first Inter -Procedural Vulnerability dataset (InterPVD) based on C/C++ open-source software, and we propose a tool dubbed VulTrigger for identifying vulnerability-triggering statements across functions. Experimental results show that VulTrigger can effectively identify vulnerability-triggering statements and inter-procedural vulnerabilities. Our findings include: (i) inter-procedural vulnerabilities are prevalent with an average of 2.8 inter-procedural layers;and (ii) function-level vulner-ability detectors are much less effective in detecting to-be-patched functions of inter-procedural vulnerabilities than detecting their counterparts of intra-procedural vulnerabilities. © 2024 ACM.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Formation of Damaging Surface Winds in a Bow-shaped Squall Line Mature Stage over South China

引用

Journal of Tropical Meteorology 2025年第1期31卷 17-29页

作者： JIANG Ping CHEN Gui-xing ZHANG Fen WU Yao ZHU Hao-nan ZHOU Rui-lin Chongqing Climate Center Chongqing 401147 China Chongqing Meitian Technology Co. LtdChongqing 401121 China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) and School of Atmospheric SciencesSun Yat-sen UniversityZhuhaiGuangdong 519082 China Peking University Chongqing Research Institute of Big Data Chongqing 400031 China

Observational analyses and convection-permitting simulations are conducted to study an extreme event of damaging surface winds within a bow-shaped squall line over South *** explanations for the formation of damaging surface winds were applied to investigate the detailed processes at the mature stage of a squall line in a complicated real-world *** is shown that environmental vertical wind shear was adequately strong to cause a shearing vorticity,and the shearing vorticity was comparable to the baroclinic vorticity by a cold *** balance led to strong upward motions at the leading edge of the squall line and brought plenty of *** descending rainfall cooled the surrounding air and entrained the upper-level cold air downward to the lower level,strengthening the cold pool by excessive evaporation and *** cold pool accelerated the propagation speed of the squall line and caused extensive wind damage at the ***,the horizontal vortex lines at the leading edge of the cold pool were lifted by frontal updrafts and tilted to form the anti-cyclonic vortex at the middle *** maintained and intensified the rearinflow jet behind the apex of bow echo in association with a notable midlevel pressure *** rear-inflow jet was then transported downward to the surface by descending condensate,leading to damaging winds *** factors,such as environmental flows,however,contributed less to the damaging surface winds.

关键词： bow echo damaging winds cold pool rear-inflow jet vortex line tilting

来源：评论

学校读者我要写书评

暂无评论

An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles 24

An Exploratory Investigation of Log Anomalies in Unmanned Ae...

引用

44th ACM/IEEE International Conference on Software engineering, ICSE 2024

作者： Wang, Dinghua Li, Shuqing Xiao, Guanping Liu, Yepang Sui, Yulei He, Pinjia Lyu, Michael R. University of Technology Sydney Australia Southern University of Science and Technology China The Chinese University of Hong Kong Hong Kong Nanjing University of Aeronautics and Astronautics China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Department of Computer Science and Engineering China The University of New South Wales Australia Shenzhen China Shenzhen Research Institute of Big Data China

ISBN: (纸本)9798400702174

Unmanned aerial vehicles (UAVs) are becoming increasingly ubiqui-tous in our daily lives. However, like many other complex systems, UAVs are susceptible to software bugs that can lead to abnormal system behaviors and undesirable consequences. It is crucial to study such software bug-induced UAV anomalies, which are often mani-fested in flight logs, to help assure the quality and safety of UAV systems. However, there has been limited research on investigating the code-level patterns of software bug-induced UAV anomalies. This impedes the development of effective tools for diagnosing and localizing bugs within UAV system code. To bridge the research gap and deepen our understanding of UAV anomalies, we carried out an empirical study on this subject. We first collected 178 real-world abnormal logs induced by soft-ware bugs in two popular open-source UAV platforms, i.e., PX4 and Ardupilot. We then examined each of these abnormal logs and com-piled their common patterns. In particular, we investigated the most severe anomalies that led to UAV crashes, and identified their features. Based on our empirical findings, we further summarized the challenges of localizing bugs in system code by analyzing anoma-lous UAV flight data, which can offer insights for future research in this field. © 2024 ACM.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Knowledge Graph based Mutual Attention for Machine Reading Comprehension over Anti-Terrorism Corpus

引用

data Intelligence 2023年第3期5卷 685-706页

作者： Feng Gao Jin Hou Jinguang Gu Lihua Zhang School of Computer Science and Technology Wuhan University of Science and TechnologyWuhan 430065Hubei The Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content Insitute of Scientic and Technical Information of ChinaBeijing 100038China Wuhan University of Science and Technology Big Data Science and Engineering Research Institute Wuhan 430065Hubei Eastchina Jiaotong University Nanchang 330013Jiangxi

Machine reading comprehension has been a research focus in natural language processing and intelligence ***,there is a lack of models and datasets for the MRC tasks in the anti-terrorism ***,current research lacks the ability to embed accurate background knowledge and provide precise *** address these two problems,this paper first builds a text corpus and testbed that focuses on the anti-terrorism domain in a semi-automatic ***,it proposes a knowledge-based machine reading comprehension model that fuses domain-related triples from a large-scale encyclopedic knowledge base to enhance the semantics of the *** eliminate knowledge noise that could lead to semantic deviation,this paper uses a mixed mutual ttention mechanism among questions,passages,and knowledge triples to select the most relevant triples before embedding their semantics into the *** results indicate that the proposed approach can achieve a 70.70%EM value and an 87.91%F1 score,with a 4.23%and 3.35%improvement over existing methods,respectively.

关键词： Machine reading comprehension Anti-terrorism domain Knowledge embedding Knowledge attention Mutual attention

来源：评论

学校读者我要写书评

暂无评论

A Collaborative Jamming Algorithm Based on Multi-UAV Scheduling 23

A Collaborative Jamming Algorithm Based on Multi-UAV Schedul...

引用

23rd IEEE International Conference on Communication Technology, ICCT 2023

作者： Jiang, Yixin Zhou, Lingyun Tang, Yijia Tu, Ya Liu, Chunhong Shi, Qingjiang Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China School of Software Engineering Tongji University Shanghai201804 China Shenzhen Research Institute of Big Data Shenzhen518172 China

ISBN: (纸本)9798350325959

In this paper, we consider the problem of multi-unmanned aerial vehicles' (UAVs), scheduling for cooperative jamming, where UAVs equipped with directional antennas perform collaborative jamming tasks against several targets of interest. To ensure effective jamming towards the targets, we formulate it as an non-convex optimization problem, aiming to minimize the communication performance of the targets by jointly optimizing UAVs' deployment and directional antenna orientations. Due to the unique structure of the problem, we derive an equivalent transformation by introducing a set of auxiliary matrices. Subsequently, we propose an efficient iterative algorithm based on the alternating direction method of multi-pliers (ADMM), which decomposes the problem into multiple tractable subproblems solved in closed-form or by gradient projection method. Extensive simulations validate the efficacy of the proposed algorithm. © 2023 IEEE.

关键词： ADMM improved Gradient Descend jamming system UAV deployment

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：