检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

14,500 篇 会议
1,265 篇 期刊文献
2 篇 资讯
1 篇 学位论文

馆藏范围

15,768 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,648 篇 工学
- 1,935 篇 计算机科学与技术...
- 1,711 篇 电气工程
- 706 篇 信息与通信工程
- 556 篇 控制科学与工程
- 540 篇 软件工程
- 286 篇 机械工程
- 233 篇 仪器科学与技术
- 232 篇 电子科学与技术（可...
- 46 篇 测绘科学与技术
- 38 篇 交通运输工程
- 30 篇 网络空间安全
- 19 篇 航空宇航科学与技...
- 16 篇 材料科学与工程（可...
- 16 篇 生物医学工程（可授...
- 15 篇 矿业工程
- 13 篇 土木工程
- 12 篇 石油与天然气工程
- 9 篇 动力工程及工程热...
371 篇 管理学
- 368 篇 管理科学与工程(可...
308 篇 理学
- 131 篇 系统科学
- 72 篇 数学
- 54 篇 物理学
- 28 篇 生物学
- 25 篇 地球物理学
- 12 篇 统计学（可授理学、...
82 篇 医学
- 75 篇 临床医学
59 篇 文学
- 59 篇 新闻传播学
21 篇 艺术学
- 21 篇 设计学（可授艺术学...
16 篇 农学
14 篇 军事学
- 14 篇 军队指挥学
10 篇 教育学
- 9 篇 教育学
2 篇 经济学
2 篇 法学

主题

15,768 篇 partitioning alg...
4,697 篇 clustering algor...
3,074 篇 algorithm design...
1,672 篇 computer science
1,288 篇 heuristic algori...
1,134 篇 data mining
892 篇 computational mo...
747 篇 hardware
745 篇 optimization
741 篇 costs
723 篇 image segmentati...
660 篇 iterative algori...
591 篇 parallel process...
580 篇 approximation al...
575 篇 testing
559 篇 routing
505 篇 computer archite...
473 篇 concurrent compu...
459 篇 very large scale...
442 篇 shape

机构

40 篇 ibm thomas j. wa...
38 篇 department of co...
31 篇 school of comput...
25 篇 department of co...
22 篇 department of co...
20 篇 department of el...
18 篇 school of comput...
18 篇 department of co...
18 篇 department of el...
17 篇 department of co...
17 篇 school of electr...
17 篇 at and t bell la...
16 篇 school of comput...
16 篇 department of el...
16 篇 institute of com...
16 篇 department of el...
15 篇 department of co...
15 篇 department of co...
15 篇 department of el...
15 篇 school of electr...

作者

25 篇 xianlong hong
19 篇 hichem frigui
15 篇 yici cai
14 篇 sanghamitra band...
13 篇 jun wang
13 篇 g. karypis
13 篇 li li
13 篇 jing wang
12 篇 sriparna saha
12 篇 tzung-pei hong
12 篇 a.k. jain
12 篇 thambipillai sri...
11 篇 suleyman s. koza...
11 篇 hau-san wong
11 篇 yu wang
11 篇 hui wang
11 篇 jian-jia chen
11 篇 p. banerjee
11 篇 sanjoy baruah
11 篇 francisco de a.t...

语言

15,630 篇 英文
104 篇 其他
32 篇 中文

检索条件"主题词=partitioning algorithms"

共 15768 条记录，以下是531-540 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Anchor-Oriented Localized Voronoi partitioning for GPS-denied Multi-Robot Coverage

Anchor-Oriented Localized Voronoi Partitioning for GPS-denie...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Aiman Munir Ehsan Latif Ramviyas Parasuraman School of Computing University of Georgia Athens GA USA

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Multi-robot coverage is crucial in numerous applications, including environmental monitoring, search and rescue operations, and precision agriculture. In modern applications, a multi-robot team must collaboratively explore unknown spatial fields in GPS-denied and extreme environments where global localization is unavailable. Coverage algorithms typically assume that the robot positions and the coverage environment are defined in a global reference frame. However, coordinating robot motion and ensuring coverage of the shared convex workspace without global localization is challenging. This paper proposes a novel anchor-oriented coverage (AOC) approach to generate dynamic localized Voronoi partitions based around a common anchor position. We further propose a consensus-based coordination algorithm that achieves agreement on the coverage workspace around the anchor in the robots’ relative frames of reference. Through extensive simulations and real-world experiments, we demonstrate that the proposed anchor-oriented approach using localized Voronoi partitioning performs as well as the state-of-the-art coverage controller using GPS.

关键词： Location awareness Robot motion Precision agriculture Target tracking Robot kinematics Heuristic algorithms partitioning algorithms Environmental monitoring Intelligent robots Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

DIAPASON: Differentiable Allocation, partitioning and Fusion of Neural Networks for Distributed Inference

DIAPASON: Differentiable Allocation, Partitioning and Fusion...

引用

Design, Automation and Test in Europe Conference and Exhibition

作者： Federico Nicolás Peccia Alexander Viehl Oliver Bringmann FZI Research Center for Information Technology Germany University of Tübingen Germany

ISBN: (数字)9783981926385

ISBN: (纸本)9798350348606

Concerns in areas such as privacy, energy consumption, climate gas emissions, and costs, push the trend of migrating neural network inference from being executed on the cloud to embedded edge devices. We present our novel approach DIA-PASON to overcome restrictions brought on by the computing and application requirements that impede their execution on resource-constrained embedded devices. Our approach addresses these challenges by distributing the inference across multiple computing instances, which could be anything ranging from a multi-CPU configuration on the same SoC to geographically distributed devices. In contrast to recent efforts which tend to apply heuristics to reduce the search space of their problem definition to solve it in a timely fashion, our novel problem definition applies the concept of continuous relaxation to the categorical selection of partitioning, layer fusion, and allocation opportunities. This approach overcomes the problem of the poor exploration of the actual search space that arises when removing potential distribution opportunities during problem simplifications. We conduct numerical simulations and ablation experiments on each one of the configuration parameters of our algorithm by distributing several widely used neural networks. Finally, we compare DIAPASON against the commonly used MoDNN baseline and a state-of-the-art approach, CoopAI, achieving a 44 % and 12 % mean speed-up respectively.

关键词： Privacy Neural networks Search problems Prediction algorithms Numerical simulation partitioning algorithms Resource management

来源：评论

学校读者我要写书评

暂无评论

MT-PART: Metamorphic-Testing-Based Adaptive Random Testing Through partitioning

MT-PART: Metamorphic-Testing-Based Adaptive Random Testing T...

引用

IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： Zhihao Ying Dave Towey Tsong Yueh Chen Zhi Quan Zhou School of Computer Science University of Nottingham Ningbo China Zhejiang People's Republic of China Department of Computer Science and Software Engineering Swinburne University of Technology Hawthorn VIC Australia School of Computing and Information Technology University of Wollongong Wollongong NSW Australia

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

Metamorphic Testing (MT) has been repeatedly proven effective in detecting software faults. MT detects faults by checking the Metamorphic Relations (MRs) among Source Test Cases (STCs) and Follow-up Test Cases (FTCs) and the corresponding outputs. Metamorphic Groups (MGs) denote the associated STCs and FTCs. The performance of MT relates strongly to the MRs and MGs. However, previous studies that on MG generation mainly focused on improving the effectiveness (i.e. fault-detection capability) of MT, but to some extent overlooked the efficiency. This paper proposes a new kind of MG generation algorithms called Metamorphic-Testing-based Adaptive Random Testing through partitioning (MT-PART). These algorithms at-tempt to improve both the effectiveness and the efficiency of MT by dynamically partitioning the input domain and generating new STCs and FTCs that are uniformly distributed over their corresponding input domains. Through empirical experiments, we found that our algorithms are able to significantly outper-form other existing MG generation algorithms in terms of test efficiency, while maintaining good test effectiveness.

关键词： Heuristic algorithms Software algorithms Software partitioning algorithms Testing

来源：评论

学校读者我要写书评

暂无评论

Research on the Generation Method of Power Grid partitioning Schemes Under the Background of High Proportion of New Energy Integration

Research on the Generation Method of Power Grid Partitioning...

引用

Energy Systems and Electrical Power (ICESEP), International Conference on

作者： Zijing LU Zishou Lil Jun Tang Hongkun Chen State Grid Hubei Electric Power Co. Ltd State Grid Corporation of China Wuhan Hubei China School of Electrical Engineering and Automation Wuhan University Wuhan Hubei China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan University Wuhan Hubei China

ISBN: (数字)9798350353563

ISBN: (纸本)9798350353570

Power grid partition is utilized widely for simplifying network structure, facilitating system monitoring and scheduling, and is an inevitable trend in development of large power grid. However, in the context of large-scale new energy integration, the uncertainty and volatility of its output have a significant impact on the operational characteristics of the power grid. Aiming at the shortcomings of traditional power grid partitioning methods that do not consider the impact of new energy integration, a generation method of power grid partitioning schemes considering the background of new energy integration is proposed. Firstly, a typical set of new energy output scenarios is obtained based on scenario generation and scenario reduction; Afterwards, the definition of electrical distance is given, the electrical distance matrix of the network is constructed, and a correction coefficient is defined based on the typical scenario set of new energy output to modify the electrical distance matrix. Then, the Dijkstra algorithm is used to expand it to the full dimensional electrical distance matrix; Finally, affinity propagation algorithm is used to complete the power grid partitioning, and a case study is conducted on an improved IEEE 39 node system to verify the effectiveness and rationality of the proposed method.

关键词： Renewable energy sources Uncertainty Affinity propagation Market research Power grids partitioning algorithms Scenario generation

来源：评论

学校读者我要写书评

暂无评论

Leveraging the Cuboidal partitioning for Low Complexity CTU Structure Prediction in Versatile Video Coding

Leveraging the Cuboidal Partitioning for Low Complexity CTU ...

引用

Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Md. Zahirul Islam Tanvir Ahmed Redoy Ashek Ahmmed Manoranjan Paul Manzur Murshed Department of CSE Rajshahi University of Engineering and Technology Bangladesh School of Computer Science University of Sydney Australia School of Computing and Mathematics Charles Sturt University Australia School of Info Technology Deakin University Australia

ISBN: (数字)9798350379037

ISBN: (纸本)9798350379044

As the capacity of communications systems is currently being outpaced by the increasing demand for access to audio-visual services, the versatile video coding (VVC) standard has emerged. It shows around 40% bit rate savings over the predecessor codec, the high efficiency video coding (HEVC) standard. However, this coding gain is obtained with a significant increase in the computational complexity associated with VVC. The cuboidal partitioning algorithm has shown capabilities in modeling both the global and local commonality of a video frame and discovers a set of non-overlapping rectangular regions, known as cuboids, over the current frame. Since cuboids are highly homogeneous and are computationally efficient, in this paper, it is proposed to employ their intrinsic homogeneity information in predicting the coding tree unit (CTU) structure of VVC. Experimental results show that up to 10.5% complexity reduction for intra coded 4K resolution video sequences, with an increase in bit rate by 1.4%.

关键词： Computational modeling Bit rate Video sequences Prediction algorithms Encoding partitioning algorithms Computational efficiency Standards High efficiency video coding Periodic structures

来源：评论

学校读者我要写书评

暂无评论

Submodel partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis

Submodel Partitioning in Hierarchical Federated Learning: Al...

引用

IEEE International Conference on Communications (ICC)

作者： Wenzhi Fang Dong-Jun Han Christopher G. Brinton Elmore Family School of Electrical and Computer Engineering Purdue University

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Hierarchical federated learning (HFL) has demon-strated promising scalability advantages over the traditional “star-topology” architecture-based federated learning (FL). How-ever, HFL still imposes significant computation, communication, and storage burdens on the edge, especially when training a large-scale model over resource-constrained Internet of Things (IoT) devices. In this paper, we propose hierarchical independent submodel training (HIST), a new FL methodology that aims to address these issues in hierarchical settings. The key idea behind HIST is a hierarchical version of model partitioning, where we partition the global model into disjoint submodels in each round, and distribute them across different cells, so that each cell is responsible for training only one partition of the full model. This enables each client to save computation/storage costs while alleviating the communication loads throughout the hierarchy. We characterize the convergence behavior of HIST for non-convex loss functions under mild assumptions, showing the impact of several attributes (e.g., number of cells, local and global aggregation frequency) on the performance-efficiency tradeoff. Finally, through numerical experiments, we verify that HIST is able to save communication costs by a wide margin while achieving the same target testing accuracy.

关键词： Training Costs Accuracy Federated learning Computational modeling partitioning algorithms Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Counting Triangles of Graphs via Matrix partitioning

Counting Triangles of Graphs via Matrix Partitioning

引用

IEEE Workshop on Machine Learning for Signal Processing

作者： Georgios Kollias Vassilis Kalantzis Lior Horesh Shashanka Ubaru Panagiotis A. Traganitis IBM Research Thomas J. Watson Research Center Yorktown Heights NY USA Dept. of Electrical and Computer Engineering Michigan State University East Lansing MI USA

ISBN: (数字)9798350372250

ISBN: (纸本)9798350372267

Counting the number of triangles is an important task in the computation of several network-related metrics such as transitivity ratio, link recommendation, near-clique subgraph detection, and clustering coefficient. This contribution presents a new algorithm based on non-overlapping subgraph decomposition and matrix partitioning. The part of the adjacency matrix associated with each submatrix is replaced by a low-rank approximation resulting to complexity savings. The proposed algorithm is also suitable for high-latency architectures as well as graphs whose entries are updated over time. Several practical and theoretical aspects are discussed while numerical experiments on real-world graphs demonstrate the potential of the proposed algorithm.

关键词： Measurement Machine learning algorithms Message passing Signal processing algorithms Clustering algorithms Signal processing Parallel processing Approximation algorithms partitioning algorithms Matrix decomposition

来源：评论

学校读者我要写书评

暂无评论

Scaling Knowledge Graph Embedding with Parallel TransE and Graph partitioning

Scaling Knowledge Graph Embedding with Parallel TransE and G...

引用

ACS/IEEE International Conference on Computer Systems and Applications

作者： Khouloud Ammar Wissem Inoubli Sami Zghal Engelbert Mephu Nguifo University of Tunis El Manar Faculty of Sciences of Tunis LIPAH-LR11ES14 Tunis Tunisia Univ. Artois CNRS UMR 8188 CRIL Lens France Universite de Jendouba Jendouba Tunisia University Clermont Auvergne CNRS Clermont Auvergne INP LIMOS Clermont-Ferrand France

ISBN: (数字)9798331518240

ISBN: (纸本)9798331518257

Knowledge graph embedding has emerged as a fundamental technique to represent entities and relationships in knowledge graphs within low-dimensional vector spaces. Among these methods, translation-based approaches stand out by treating relations as translations from head entities to tail entities, achieving state-of-the-art results. However, the training process of these methods can be prohibitively time-consuming, especially for large knowledge graphs, posing significant challenges in practical applications. As knowledge graphs grow in size and complexity, surpassing the capacities of existing systems, there is an urgent need for scalable solutions in knowledge representation learning. These graphs, comprising millions of nodes and billions of edges, serve as powerful data structures for representing and understanding complex networks of knowledge. Translation-based models, particularly TransE, have been instrumental in encoding structured information about entities and their relationships in low-dimensional embedding spaces. However, the current implementation of TransE is constrained to single-node machines, limiting its scalability and applicability. To address these limitations, this paper proposes leveraging parallel computing technique, such as parallel TransE with graph partitioning, to enhance scalability and efficiency in knowledge graph embedding.

关键词： Training Systematics Scalability Computational modeling Knowledge graphs Tail Parallel processing Prediction algorithms Vectors partitioning algorithms

来源：评论

学校读者我要写书评

暂无评论

Adaptive DNN partitioning Method for Pipeline Parallel Training with Time-Varying Resources

Adaptive DNN Partitioning Method for Pipeline Parallel Train...

引用

Frontiers Technology of Information and Computer (ICFTIC), IEEE International Conference on

作者： Shengang Deng Zhi Ling Mingrui Zhu Shuangwu Chen Xiaofeng Jiang Jian Yang University of Science and Technology of China Hefei China

ISBN: (数字)9798331541750

ISBN: (纸本)9798331541767

Pipeline parallelism provides a flexible and scalable approach for training large deep neural networks (DNNs). To realize efficient pipeline parallel training, deploying model partitions that adapt to the resource configurations is crucial. However, due to the time-varying nature prevalent in real-world applications, model partitions can quickly become outdated, resulting in imbalanced workload distribution. Consequently, maintaining load-balanced model partitions under time-varying resource scenarios poses a challenge. In this paper, we propose an adaptive partitioning method that dynamically adjusts model partitions in response to variations in available resources, ensuring high training efficiency. First, we derive the execution duration model and redistribution cost model of pipeline training systems. Then, we perform a joint optimization of the two factors with the goal of minimizing the training time. Based on this, we implement a prototype system called ARPipe, in which a Fast partitioning Decision (FPD) algorithm is proposed to quickly determine optimized model partitions. Experimental evaluations show that under real-world circumstances with time-varying hardware resources, ARPipe can reduce training time by up to 30% in comparison to the state-of-the-art method GPipe when training the ResNet50 model on the CIFAR10 dataset.

关键词： Training Adaptation models Costs Computational modeling Pipelines Prototypes Parallel processing partitioning algorithms Optimization Load modeling

来源：评论

学校读者我要写书评

暂无评论

Automatic Layout of One-Line Diagrams for Large Transmission Systems Based on Graph partitioning

Automatic Layout of One-Line Diagrams for Large Transmission...

引用

IEEE General Meeting Power& Energy Society

作者： Chen Yang Jingyu Wang Dongyuan Shi School of Electrical and Electronic Engineering Huazhong University of Science and Technology

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

One-line diagrams are widely used in power system applications, but their automatic layout remains a challenge. Currently, most approaches are dedicated to solving the layout of small-scale power transmission systems to produce aesthetically pleasing one-line diagrams. To extend them to large-scale systems, this paper proposes an integrated framework for the automatic layout of one-line diagrams based on graph partitioning. Graph partitioning allows a large graph to be divided into multiple subgraphs, and the layout for each subgraph is optimized using mixed-integer linear programming (MILP). These optimized subgraphs are then reassembled into a large graph using the subgraph assembly algorithm and the tie-line routing strategy. The case studies demonstrate that the proposed framework can efficiently generate one-line diagrams that satisfy aesthetic criteria. The output layout can preserve the relative position of nodes as in the original layout, which significantly improves its readability. Moreover, the time consumption of the proposed framework is acceptable for practical use.

关键词： Layout Software algorithms Power transmission Parallel processing Routing Software partitioning algorithms Mixed integer linear programming Assembly Optimization

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 50 51 52 53 54 55 56 57 58 59 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：