检索结果-内蒙古大学图书馆

iRADIOLOGY 2025年第1期3卷 61-71页

作者： Qiang Zheng Yiyu Zhang Lin Zhang Jian Wang Jungang Liu School of Computer and Control Engineering Yantai UniversityYantaiChina Department of Radiology Xiamen Children's HospitalChildren's Hospital of Fudan University at XiamenXiamenChina

Background:Previous studies have demonstrated the underlying neurophysiologic mechanism during general anesthesia in ***,the mechanism of propofol-induced moderate-deep sedation(PMDS)in modulating pediatric neural activity remains unknown,which therefore was investigated in the present study based on functional magnetic resonance imaging(fMRI).Methods:A total of 41 children(5.10�1.14 years,male/female 21/20)with fMRI were employed to construct the functional connectivity network(FCN).The network communication,graph-theoretic properties,and network hub identification were statistically analyzed(t test and Bonferroni correction)between sedation(21 children)and awake(20 children)*** involved analyses were established on the whole-brain FCN and seven sub-networks,which included the default mode network(DMN),dorsal attentional network(DAN),salience network(SAN),auditory network(AUD),visual network(VIS),subcortical network(SUB),and other networks(Other).Results:Under PMDS,significant decreases in network communication were observed between SUB-VIS,SUB-DAN,and VIS-DAN,and between brain regions from the temporal lobe,limbic system,and subcortical ***,no significant decrease in thalamus-related communication was *** graph-theoretic properties were significantly decreased in the sedation group,and all graphical features of the DMN showed significant group *** superior parietal cortex with different neurological functions was identified as a network hub that was not greatly ***:Although the children had a depressed level of neural activity under PMDS,the crucial thalamus-related communication was maintained,and the network hub superior parietal cortex stayed active,which highlighted clinical prac-tices that the human body under PMDS is still perceptible to external stimuli and can be awakened by sound or touch.

关键词： functional connectivity network moderate-deep sedation neural activity pediatric propofol

来源：评论

学校读者我要写书评

暂无评论

Compression Format and Systolic Array Structure Co-design for Accelerating Sparse Matrix Multiplication in DNNs 24th

Compression Format and Systolic Array Structure Co-design f...

引用

24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Cao, Yongxiang Jiang, Jixiang Zhao, Guocheng Wang, Wei Jiang, Hongxu Song, Yanfei School of Computer Science and Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789819615445

The systolic array (SA) architecture is widely used in accelerator/AI chip design due to its excellent matrix multiplication acceleration effect. However, the mismatch between the traditional sparse matrix compression format and the SA architecture results in poor SA performance in computing sparse matrices. To solve the problem, we propose a method for co-designing the sparse compression format and SA architecture. This work proposes the Vector Group Compressed Coordinate (VGCC) data stream compression format and designs a sparse SA architecture based on hardware encoding and decoding. VGCC can handle data streams of any size without increasing the index bit width. The VGCC compression size is significantly smaller than general sparse compression formats such as COO/CSR. In a sparse matrix with a sparsity of 90%, it saves 67.13% of storage space compared to the state-of-the-art ECOO data stream compression format and achieves an average acceleration of 1.54 times. We also propose a VGCC-friendly SA architecture. Our SA architecture engine reduces logic consumption by 51.6% compared to Sparse TPU while achieving a 3.23x speedup. To mitigate the issue of high no-load rates in systolic arrays, we introduce a Data Transmission Priority (DTP) data matching algorithm. With sparsity levels ranging from 50% to 90%, the algorithm’s calculation speed is enhanced by 1.124x to 1.991x. We implemented a sparse DNN accelerator on an FPGA Zynq UltraScale+MPSoC ZCU102, utilizing the VGCC compression format proposed in this study for compressing input data. When compared to the S2 Engine, the accelerator achieved a 3.37x speed improvement in matrix multiplication with 75% sparsity, significantly enhancing the speed of sparse matrix multiplication. The accelerator achieved an average throughput of 1079.33GOP/s when inferencing DNNs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Systolic arrays

来源：评论

学校读者我要写书评

暂无评论

FineBID: Fine-Grained Protocol Reverse engineering for Bit-Level Field IDentification

引用

IEEE Transactions on Dependable and Secure Computing 2025年第3期22卷 2670-2686页

作者： Huang, Tao Gao, Yansong Zheng, Yifeng Wang, Zhanfeng Hu, Chao Fu, Anmin Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Xidian University State Key Laboratory of Integrated Services Networks Xian710071 China University of Western Australia CrawleyWA6009 Australia Harbin Institute of Technology School of Computer Science and Technology Guangdong Shenzhen518055 China Lexbell Company Ltd. Nanjing210014 China Army Engineering University of PLA College of Command and Control Engineering Nanjing210007 China

Protocol Reverse engineering (PRE) serves as the foundation for numerous security analysis techniques, such as vulnerability mining and intrusion detection, etc. The PRE analysis precision can directly affect the accuracy of these downstream techniques. The network-trace-based PRE technique has become the mainstream PRE technique attributed to its ease of implementation. However, without the prerequisite of additional dedicated devices or knowledge of information, the analysis precision of existing network-trace-based PRE methods is often achievable at only byte or half-byte level but not the fine-grained bit-level, which makes it increasingly challenging to meet the precision requirements of those downstream security applications. In this work, we propose a fine-grained PRE scheme, named FineBID, which makes the identification capability in a fine-grained manner for existing network-trace-based PRE methods into bit-level fields. FineBID follows the global characteristics of protocol fields and constructively models the bit-level field identification problem as a multi-objective decision model, which thus effectively overcomes the insufficient representativeness of bit-level fields’ local characteristics. Then, the multi-objective decision model is solved to obtain the Pareto solution set for different field segmentation levels, and the utility value per bit is further computed. The utility value can be used as the immediate indicator to determine whether each bit is a field boundary or not. Meanwhile, we propose an Actual Ground Truth that is more in line with the actual usage of each bit. With extensive experiments on the Internet, wireless, and industrial protocols, we affirm that FineBID can not only significantly reduce the search space for Ground Truth or Actual Ground Truth with a space reduction of 95.3% compared to exhaustive search, but also identify Ground Truth or Actual Ground Truth more accurately than other similar methods. © 2004-2012 IEEE.

关键词： Reverse engineering

来源：评论

学校读者我要写书评

暂无评论

Cluster-Refined Optimal Transport for Unsupervised Action Segmentation

Cluster-Refined Optimal Transport for Unsupervised Action Se...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wang, Shijie Zhang, Jinrong Liu, Yule Li, Shiyao Feng, Lin School of Computer Science and Technology Dalian University of Technology Dalian China School of Control Science and Engineering Dalian University of Technology Dalian China School of Innovation and Entrepreneurship Dalian University of Technology Dalian China

ISBN: (纸本)9798350368741

Action segmentation in untrimmed videos is essential for comprehensive video understanding. Despite significant progress in unsupervised methods, capturing both long-range dependencies and short-duration actions simultaneously remains a challenging task. To address this challenge, this paper introduces the Cluster-Refined Optimal Transport (CROT) method, combining hierarchical clustering and optimal transport for unsupervised action segmentation. We first hierarchically cluster video frame representations to capture long-range dependencies and generate pseudo-boundaries. Initial pseudo-labels are then obtained via optimal transport, ensuring short-duration actions are recognized. Finally, these pseudo-labels are refined using the pseudo-boundaries, resulting in the final segmentation output. Extensive experiments on three public datasets, i.e., YouTube Instructions, Breakfast, and 50Salads, demonstrate that our method performs on par with or better than previous approaches. © 2025 IEEE.

关键词： action segmentation hierarchical clustering optimal transport unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

YOLOv8n-CGW: A novel approach to multi-oriented vehicle detection in intelligent transportation systems

引用

Multimedia Tools and Applications 2025年第7期84卷 3809-3840页

作者： Berwo, Michael Abebe Fang, Yong Sarwar, Nadeem Mahmood, Jabar Aljohani, Mansourah Elhosseini, Mostafa School of Information and Engineering Chang’an University Shaanxi Xi’an710064 China Department of Computer Science Bahria University Lahore Campus Punjab Lahore54600 Pakistan Department of Information Technology Faculty of Computing and Information Technology University of Sialkot Punjab Sialkot51040 Pakistan College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt

In the context of Intelligent Transportation Systems (ITS), the role of vehicle detection and classification is indispensable for streamlining transportation management, refining traffic control, and conducting in-depth accident analyses. However, the intricate task of accurately detecting multi-oriented vehicles in diverse scenarios remains a challenge, even with the advancements in ITS. Factors such as vehicle morphology, design, road conditions, structural details, and climatic variables provide a significant part in the detection. To address this, our study introduces an advanced YOLOv8n model, specifically the YOLOv8n-CGW, which is built upon pre-trained deep learning frameworks. This model is meticulously tailored to enhance the detection capabilities for multi-oriented vehicles. Comprehensive evaluations on esteemed datasets like MtV, MERGED, Custom dataset, DAWN, WEDGE, and UA-DETRAC underscore the superiority of our approach over existing models. Notably, our YOLOv8n-CGW model achieves a remarkable mAP of 83.3% and boasts a swift inference time of 0.0019s, setting a new benchmark in the domain. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

NFV-Enabled Service Recovery in Space–Air–Ground Integrated Networks: A Matching Game-Based Approach

引用

IEEE Transactions on Network Science and engineering 2025年第3期12卷 1732-1744页

作者： Jia, Ziye Cao, Yilu He, Lijun Li, Guangxia Zhou, Fuhui Wu, Qihui Han, Zhu Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Xidian University State Key Laboratory of ISN Xian710071 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

To achieve ubiquitous connectivity of the sixth generation communication, the space-air-ground integrated network (SAGIN) is a popular topic. However, the dynamic nodes in SAGIN such as satellites and unmanned aerial vehicles, may be fragile and out of operation, which can potentially cause service failure. Therefore, the research on service recovery in SAGIN under situations of resource failure is critical. In order to facilitate the flexible resource utilization of SAGIN, the network function virtualization technology (NFV) is proposed to be employed. Firstly, the task management is transformed into the deployment of service function chains (SFCs). Then, we design an NFV-based SFC recovery model in SAGIN in the face of resource failure, so that tasks can quickly select alternative resources to complete deployments. Moreover, the problem of SFC recovery is formulated to minimize the total time consumption for all completed SFCs. Since it is an NP-hard integer linear programming problem, we propose the efficient recovery algorithm based on the matching game. Finally, via various simulations, the effectiveness of the proposed algorithm and its advantages are verified, where the total time consumption is optimized by about 25%, compared with other benchmark methods. © 2013 IEEE.

关键词： Network function virtualization

来源：评论

学校读者我要写书评

暂无评论

Motion planning for robotics:A review for sampling-based planners

引用

Biomimetic Intelligence & Robotics 2025年第1期5卷 15-34页

作者： Liding Zhang Kuanqi Cai Zewei Sun Zhenshan Bing Chaoqun Wang Luis Figueredo Sami Haddadin Alois Knoll School of Computation Information and Technology(CIT)Technical University of MunichMunich 85748Germany Munich Institute of Robotics and Machine Intelligence(MIRMI) Technical University of MunichMunich 80992Germany School of Control Science and Engineering Shandong UniversityJinan 250061China School of Computer Science University of NottinghamNottingham 315199United Kingdom

Recent advancements in robotics have transformed industries such as manufacturing,logistics,surgery,and planetary exploration.A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments while avoiding collisions and optimizing metrics like path length,sweep area,execution time,and energy *** the available algorithms,sampling-based methods have gained the most traction in both research and industry due to their ability to handle complex environments,explore free space,and offer probabilistic completeness along with other formal *** their widespread application,significant challenges still *** advance future planning algorithms,it is essential to review the current state-of-the-art solutions and their *** this context,this work aims to shed light on these challenges and assess the development and applicability of sampling-based ***,we aim to provide an in-depth analysis of the design and evaluation of ten of the most popular planners across various *** findings highlight the strides made in sampling-based methods while underscoring persistent *** work offers an overview of the important ongoing research in robotic motion planning.

关键词： Robotics Motion planning Sampling-based algorithms

来源：评论

学校读者我要写书评

暂无评论

The Design and Implementation of a Secure Time Distribution System Based on Blockchain Oracle 1

The Design and Implementation of a Secure Time Distribution ...

引用

1st International Conference on Intelligent Manufacturing and Cloud Computing, ICIMCC 2024

作者： Hong, Jianlei Zhao, Jindong Zhang, Xuedong Sun, Yukai Qiu, Xuqiang School of Computer and Control Engineering Yantai University Yantai264005 China Yantai Yantai Chijiu Clock Co. Ltd. Yantai264005 China

ISBN: (纸本)9781643685779

With the proliferation of e-government, e-commerce, and other applications, the demand for secure and accurate time information services has become more and more urgent in various industries. The traditional time distribution service has some risks regarding the security of time information. To cope with this demand, a secure time distribution system based on blockchain oracle is designed and implemented to provide secure and trustworthy time distribution services for internet applications. In the system, the oracle mechanism is used to introduce external time source data into the blockchain to ensure that the time information is accurate and traceable, and the time saved in the blockchain is distributed to the clients through the time synchronization protocol. To address the time delay problem introduced by software operation, a software delay smoothing algorithm is designed to smooth and optimize fluctuating and uncontrollable software delays. The experimental results show that the software delay smoothing algorithm has a smoothing effect of 72.7% on software delays, and the systematic error caused by software delay in this system is 718.0 μs,and the accuracy of the timestamps distributed to clients reaches the microsecond level. Compared with traditional methods, the secure time distribution system based on blockchain oracles significantly improves the accuracy of blockchain timestamps, and utilizes the decentralized and tamper-proof characteristics of blockchain to add a "traceable" feature to each timestamp, which can provide trustworthy time services for financial transactions, e-government affairs, and other key areas. © 2025 The Authors.

关键词： Blockchain Oracle time distribution

来源：评论

学校读者我要写书评

暂无评论

Viewpoint Optimization using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment

引用

Chinese Journal of Electronics 2025年第2期23卷 426-431页

作者： Guotian Yang Ruifang Dong Hua Wu Chang'an Liu School of Control and Computer Engineering North China Electric Power University Beijing China

To fully exploit the limited flight-time of the flying robot, and ensure the successful visibility of target, viewpoint optimization is proposed in this paper for the inspection of electricity transmission tower equipment with an optimization function to determine the best viewpoints in a local viewpoint region. The local viewpoint regions are generated from the local objective regions which are determined by the geometrical structure of a priori 3D model for the electricity transmission tower equipment. The optimization function is structured based on three factors including visibility, viewing quality and observation distance. In addition, the fitness function of genetic algorithm is used to find the optimal viewpoint. The experimental results demonstrate the effectiveness and efficiency of the proposed viewpoint selection algorithm.

关键词： Solid modeling Three-dimensional displays Electricity Poles and towers Inspection Optimization Robots Drones Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Activity-based capability updating method for task assignment in mobile crowdsensing

引用

computer Networks 2025年 265卷

作者： Zhu, Xiao Ma, Wenming Wu, Xiagling Sun, Shengyang Zhu, Xiaoang School of Computer and Control Engineering Yantai University ShanDong YanTai264005 China

Task allocation is a critical process for mobile crowdsensing. In this process, the platform assigns tasks uploaded by requesters to suitable workers based on specific criteria. To ensure maximum benefit, crowdsensing platforms must select enough workers to complete these tasks with high quality. Therefore, it is essential for the platform's profitability to select reliable and punctual workers. Current approaches rely on intrinsic attributes for winner selection, which can lead to issues with unstable perceived quality. In this study, we propose a worker capability update equation that takes into account workers’ temporal and spatial activity levels to select stable and high-quality contributors. Additionally, we introduce a metric based on normal distribution to evaluate workers’ task completion rates. By utilizing historical task performance, we can select workers for each task, mitigating the impact of quality fluctuations on the platform's profits. We compared our method with four baseline methods using real datasets, and all results demonstrated its efficiency. © 2025

关键词： Mobile crowdsensing Opportunistic task assignment Profit maximization

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：