检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Zhou, Zhenhuan Zhang, Yuchen Xu, Ruihong Zhao, Xuansen Li, Tao College of Computer Science Nankai University Tianjin300350 China Key Laboratory of Data and Intelligent System Security Ministry of Education China Department of stomatology Tianjin Union Medical Center The First Affiliated Hospital of Nankai University Tianjin300121 China College of Mechanical Engineering Taiyuan University of Technology Shanxi 030000 China Haihe Lab of ITAI Tianjin300459 China

Deep learning (DL), a pivotal technology in artificial intelligence, has recently gained substantial traction in the domain of dental auxiliary diagnosis. However, its application has predominantly been confined to imaging modalities such as panoramic radiographs and Cone Beam Computed Tomography, with limited focus on auxiliary analysis specifically targeting Periapical Radiographs (PR). PR are the most extensively utilized imaging modality in endodontics and periodontics due to their capability to capture detailed local lesions at a low cost. Nevertheless, challenges such as resolution limitations and artifacts complicate the annotation and recognition of PR, leading to a scarcity of publicly available, large-scale, high-quality PR analysis datasets. This scarcity has somewhat impeded the advancement of DL applications in PR analysis. In this paper, we present PRAD-10K, a dataset for PR analysis. PRAD-10K comprises 10,000 clinical periapical radiograph images, with pixel-level annotations provided by professional dentists for nine distinct anatomical structures, lesions, and artificial restorations or medical devices, We also include classification labels for images with typical conditions or lesions. Furthermore, we introduce a DL network named PRNet to establish benchmarks for PR segmentation tasks. Experimental results demonstrate that PRNet surpasses previous state-of-the-art medical image segmentation models on the PRAD-10K dataset. The codes and dataset will be made publicly available. © 2025, CC BY-NC-ND.

关键词： Dental orthoses

来源：评论

学校读者我要写书评

暂无评论

SAND: semi-automated adaptive network defense via programmable rule generation and deployment

引用

Science China(Information Sciences) 2022年第7期65卷 121-138页

作者： Haoyu CHEN Deqing ZOU Hai JIN Shouhuai XU Bin YUAN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing Lab School of Computer Science and TechnologyHuazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabHubei Engineering Research Center on Big Data Security School of Cyber Science and EngineeringHuazhong University of Science and Technology Department of Computer Science University of Colorado at Colorado Springs

Cyber security is dynamic as defenders often need to adapt their defense postures. The state-ofthe-art is that the adaptation of network defense is done manually(i.e., tedious and error-prone). The ideal solution is to automate adaptive network defense, which is however a difficult problem. As a first step towards automation, we propose investigating how to attain semi-automated adaptive network defense(SAND). We propose an approach extending the architecture of software-defined networking, which is centered on providing defenders with the capability to program the generation and deployment of dynamic defense rules enforced by network defense tools. We present the design and implementation of SAND, as well as the evaluation of the prototype implementation. Experimental results show that SAND can achieve agile and effective dynamic adaptations of defense rules(less than 15 ms on average for each operation), while only incurring a small performance overhead.

关键词： network defense adaptive defense automated defense programmable defense security services software-defined networking security management

来源：评论

学校读者我要写书评

暂无评论

Tracking the carbon footprint of global generative artificial intelligence

引用

Innovation 2025年第5期6卷 100866页

作者： Ding, Zhaohao Wang, Jianxiao Song, Yiyang Zheng, Xiaokang He, Guannan Chen, Xiupeng Zhang, Tiance Lee, Wei-Jen Song, Jie State Key Lab of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing100871 China Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong999077 China Department of Industrial Engineering and Management College of Engineering Peking University Beijing100871 China Jan C. Willems Center for Systems and Control University of Groningen Groningen9700AB Netherlands Energy Systems Research Center University of Texas at Arlington ArlingtonTX76019 United States

来源：评论

学校读者我要写书评

暂无评论

CROSS-SECTIONAL STRUCTURES OF CONICR/CR BILAYER AND MULTILAYER THIN-FILMS

引用

APPLIED PHYSICS LETTERS 1992年第21期61卷 2533-2535页

作者： WONG, BY LAUGHLIN, EE Data Storage System Center Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213

The cross-sectional structure of CoNiCr/Cr bilayer and multilayer thin films is investigated by HRTEM. Results showed that the orientation relationship between CoNiCr and Cr and the crystallographic orientation of CoNiCr is controlled by the orientation of the Cr column. Similar results are found for the multilayer film. The crystallographic orientation of the Cr interlayer and the second CoNiCr layer is identical to that of the Cr underlayer and the first CoNiCr layer. The misfit at the interface is partially relieved by misfit dislocations and the rest remains as elastic strain.

关键词： CHROMIUM CHROMIUM ALLOYS COBALT ALLOYS NICKEL ALLOYS TERNARY ALLOYS MULTILAYERS CROSS SECTIONS TRANSMISSION ELECTRON MICROSCOPY CRYSTAL ORIENTATION INTERFACE STRUCTURE MISFIT DISLOCATIONS RESIDUAL STRESSES CRYSTAL STRUCTURE CRYSTALLOGRAPHY

来源：评论

学校读者我要写书评

暂无评论

LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring

引用

IEEE Transactions on Consumer Electronics 2025年

作者： Huang, Jingwei Wang, Chuansheng Huang, Jiayan Fan, Haoyi Xue, Xingsi Zhang, Fuquan Fuzhou University College of Computer and Big Data Fuzhou China Polytechnic University of Catalonia Department of Automatic Control Barcelona Spain Putian University New Engineering Industry College Putian China Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian Fuzhou350118 China Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Minjiang University College of Computer and Control Engineering Fuzhou China Sichuan Conservatory of Music Digital Media Art Key Laboratory of Sichuan Province Chengdu China Minjiang University Fuzhou Technology Innovation Center of Intelligent Manufacturing information System Fuzhou China Fuzhou China

Driver drowsiness electroencephalogram (EEG) signal monitoring can promptly alert drivers of their drowsiness in edge-end Consumer Electronics (CE), thereby reducing the probability of traffic accidents. Graph convolutional networks (GCNs) have shown significant advancements in processing the non-stationary, time-varying, and non-Euclidean nature of EEG signals. However, the existing single-channel EEG adjacency graph construction process lacks interpretability, which hinders the ability of GCNs to effectively extract adjacency graph features, thus affecting the performance of drowsiness monitoring. To address this issue, we propose an edge-end Lightweight Dual Graph Convolutional Network (LDGCN). Specifically, we are the first to incorporate neurophysiological knowledge to design a Baseline Drowsiness Status Adjacency Graph (BDSAG), which characterizes driver drowsiness status. Additionally, to express more features within limited EEG data, we introduce the Augmented Graph-level Module (AGM). This module captures global and local information at the graph level, ensuring that BDSAG features remain intact while enhancing effective feature expression capability. To further enhance the application of CE, we apply Adaptive Pruning Optimization (APO) to the channels and neurons of LDGCN, which nearly halves the inference latency. Experiments on benchmark datasets demonstrate that LDGCN offers the best trade-off between monitoring performance and hardware resource utilization, outperforming existing state-of-the-art algorithms. © 1975-2011 IEEE.

关键词： Neurons

来源：评论

学校读者我要写书评

暂无评论

Micromagnetic principles in pseudo spin valve memory element design

引用

IEEE TRANSACTIONS ON MAGNETICS 1997年第5期33卷 3286-3288页

作者： Zheng, YF Zhu, JG Data Storage System Center Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

Micromagnetic modeling of submicron size pseudo spin valve memory elements is presented, The storage mechanism of the memory system is proposed. For this mechanism, the switching field of the hard layer and the back switching field of the soft layer need to be well separated to ensure the non-destructive read-out, As the size of the element is reduced, the back switching field of the soft layer greatly increases, It is found that this back switching field can be significantly reduced by introducing a transverse anisotropy field in the soft layer. It is also found that the existence of an antiparallel edge domain configuration in the memory element can significantly degrade the performance of the memory cell and cause instability.

关键词： Micromagnetics Spin valves Anisotropic magnetoresistance Degradation

来源：评论

学校读者我要写书评

暂无评论

DOMAIN-WALL MOBILITY MEASUREMENTS IN MAGNETOOPTIC MEDIA

引用

IEEE TRANSACTIONS ON MAGNETICS 1994年第6期30卷 4401-4403页

作者： DU, M KRYDER, MH Data Storage System Center Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

Domain wall motion Involved in both writing and erasing processes In Magneto-Optic(MO) recording Is strongly governed by domain wall mobility. This report extends our previous measurements by a highly Sensitive Kerr microscope system of domain wall mobility in MO media to temperature ranges near the Curie temperature (T-c). The velocity of wall motion is measured as a function of the applied field in samples of GdTbFe and GdTbFeCo, with different compositions and compensation temperatures. The experimental temperature ranges from 60 degrees C to 10 degrees C below T-c. The collected data show that for samples of different composition the domain wall mobilities increase approximately exponentially as the temperature approaches T-c from about 0.02 cm/sec-Oe to 5 cm/sec-Oe.

关键词： Magnetic field measurement Magnetic domain walls Temperature distribution Temperature sensors Velocity measurement Pulse measurements Microscopy Dielectric substrates Laser mode locking Magnetooptic recording

来源：评论

学校读者我要写书评

暂无评论

Global expansion of apache hadoop/apache spark activities at NTT data

引用

NTT Technical Review 2018年第2期16卷 1-5页

作者： Ranaweera, Ravindra Sandaruwan Ajisaka, Akira Software Engineer OSS Professional Services System Engineering Headquarters Platform Engineering Department NTT DATA Corporation

Apache Hadoop and Apache Spark are open source software projects that have been attracting worldwide attention as platforms for big data applications. NTT data has been developing systems using Hadoop/Spark since Hadoop/Spark's early days and providing one-stop technical support for the entire NTT data Group. Furthermore, in addition to participating in community-based development to reflect the feedback gained from technical support service into Hadoop/Spark itself, NTT data has been presenting the know-how accumulated from these activities at numerous events to raise its global presence. © 2018 Nippon Telegraph and Telephone Corp. All rights reserved.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Active legibility in multiagent reinforcement learning

引用

Artificial Intelligence 2025年 346卷

作者： Liu, Yanyu Pan, Yinghui Zeng, Yifeng Ma, Biyang Doshi, Prashant School of Automation Central South University No. 605 South Lushan Road Hunan Changsha410083 China School of Artificial Intelligence & National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Shenzhen China Department of Computer and Information Sciences Northumbria University Newcastle United Kingdom School of Computer Science Minnan Normal University Fujian Zhangzhou China Department of Computer Science University of Georgia AthensGA United States

A multiagent sequential decision problem has been seen in many critical applications including urban transportation, autonomous driving cars, military operations, etc. Its widely known solution, namely multiagent reinforcement learning, has evolved tremendously in recent years. Among them, the solution paradigm of modeling other agents attracts our interest, which is different from traditional value decomposition or communication mechanisms. It enables agents to understand and anticipate others' behaviors and facilitates their collaboration. Inspired by recent research on the legibility that allows agents to reveal their intentions through their behavior, we propose a multiagent active legibility framework to improve their performance. The legibility-oriented framework drives agents to conduct legible actions so as to help others optimize their behaviors. In addition, we design a series of problem domains that emulate a common legibility-needed scenario and effectively characterize the legibility in multiagent reinforcement learning. The experimental results demonstrate that the new framework is more efficient and requires less training time compared to several multiagent reinforcement learning algorithms. © 2025 The Author(s)

关键词： Urban transportation

来源：评论

学校读者我要写书评

暂无评论

Magnetic properties of FeAlN films at elevated temperatures

引用

JOURNAL OF APPLIED PHYSICS 1997年第8期81卷 4495-4497页

作者： Zheng, P Bain, JA Kryder, MH Data Storage System Center Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213.

FeAlN films were fabricated by reactive sputtering from an Fe alloy target in a nitrogen containing plasma. By varying the nitrogen content in the films, magnetic moment as high as 20 kG and coercivities less than 1 Oe can be achieved at room temperature. However, it has been observed that the soft properties of these films experience a reversible degradation at elevated measuring temperatures. The critical temperature, T-0(c), defined as the temperature at which the coercivity doubles, generally decreases as more nitrogen is incorporated into the film. T-0(c) agrees well with the temperature where remanent squareness (B-r/B-s) equals 0.83, indicating a reduced intergranular exchange coupling in films. However, T-0(c) is far below either the reported Curie temperature of the gamma'-Fe4N phase or that of the alpha-Fe phase, which are found in these films. It is suggested that an interfacial granular phase between the grain boundaries of alpha-Fe or gamma'-Fe4N crystallites is responsible for the low T-0(c). When the temperature increases above T-0(c), the interfacial phase becomes paramagnetic, and the exchange interaction between crystalline grains becomes weak, thereby causing the coercivity increases. (C) 1997 American Institute of Physics.

关键词： iron alloys aluminium alloys ferromagnetic materials magnetic thin films magnetic recording magnetic heads soft magnetic materials magnetic moments coercive force remanence exchange interactions (electron) Curie temperature magnetic particles paramagnetic materials ferromagnetic-paramagnetic transitions sputtered coatings

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：