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

30,421 篇 会议
297 篇 期刊文献
40 册 图书

馆藏范围

30,758 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

18,582 篇 工学
- 15,158 篇 计算机科学与技术...
- 6,499 篇 信息与通信工程
- 6,257 篇 软件工程
- 5,558 篇 电气工程
- 2,795 篇 控制科学与工程
- 1,088 篇 动力工程及工程热...
- 972 篇 机械工程
- 938 篇 仪器科学与技术
- 840 篇 电子科学与技术（可...
- 424 篇 测绘科学与技术
- 390 篇 网络空间安全
- 355 篇 生物工程
- 289 篇 安全科学与工程
- 271 篇 交通运输工程
- 231 篇 生物医学工程（可授...
- 227 篇 建筑学
- 200 篇 土木工程
- 200 篇 石油与天然气工程
3,229 篇 理学
- 1,843 篇 数学
- 588 篇 系统科学
- 542 篇 物理学
- 442 篇 统计学（可授理学、...
- 413 篇 生物学
- 233 篇 化学
2,662 篇 管理学
- 2,070 篇 管理科学与工程(可...
- 825 篇 图书情报与档案管...
- 744 篇 工商管理
416 篇 医学
- 344 篇 临床医学
- 179 篇 基础医学(可授医学...
239 篇 法学
188 篇 经济学
- 187 篇 应用经济学
109 篇 农学
74 篇 军事学
53 篇 教育学
48 篇 文学
13 篇 艺术学
1 篇 历史学

主题

4,966 篇 wireless sensor ...
3,275 篇 distributed comp...
1,700 篇 sensor systems
1,120 篇 protocols
1,049 篇 distributed comp...
1,043 篇 monitoring
1,010 篇 computer archite...
976 篇 cloud computing
961 篇 computer network...
911 篇 computer science
884 篇 distributed data...
832 篇 sensors
825 篇 computational mo...
817 篇 wireless communi...
795 篇 robot sensing sy...
661 篇 application soft...
629 篇 routing
567 篇 sensor phenomena...
564 篇 internet of thin...
561 篇 peer to peer com...

机构

40 篇 department of co...
33 篇 shanghai jiao to...
30 篇 department of co...
30 篇 ieee
29 篇 distributed syst...
28 篇 school of comput...
27 篇 tsinghua univers...
26 篇 school of comput...
24 篇 suny stony brook...
22 篇 nanjing univ sta...
21 篇 georgia inst tec...
21 篇 state key labora...
19 篇 georgia state un...
19 篇 hong kong univ s...
18 篇 school of comput...
18 篇 institute of par...
17 篇 shanghai jiao to...
17 篇 georgia inst tec...
17 篇 univ chinese aca...
16 篇 tsinghua univ de...

作者

88 篇 dustdar schahram
52 篇 rajkumar buyya
35 篇 hong-linh truong
28 篇 zomaya albert y.
27 篇 klaus wehrle
27 篇 wu jie
26 篇 liu yang
26 篇 wehrle klaus
25 篇 yang yang
22 篇 wang lei
20 篇 fortino giancarl...
19 篇 duerr frank
18 篇 lei wang
18 篇 wang guojun
17 篇 li li
16 篇 rinner bernhard
16 篇 liu ling
14 篇 zhang lei
14 篇 stankovic john a...
14 篇 xhafa fatos

语言

30,485 篇 英文
161 篇 其他
114 篇 中文
3 篇 法文
2 篇 俄文
1 篇 葡萄牙文
1 篇 土耳其文

检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30758 条记录，以下是201-210 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：

Accelerating distributed ML Training via Selective Synchronization 25

Accelerating Distributed ML Training via Selective Synchroni...

引用

25th ieee international conference on Cluster computing (CLUSTER)

作者： Tyagi, Sahil Swany, Martin Indiana Univ Bloomington Bloomington IN 47405 USA

ISBN: (纸本)9798350307924

In distributed training, deep neural networks (DNNs) are launched over multiple workers concurrently and aggregate their local updates on each step in bulk-synchronous parallel (BSP) training. However, BSP does not linearly scale-out due to high communication cost of aggregation. To mitigate this overhead, alternatives like Federated Averaging (FedAvg) and Stale-Synchronous Parallel (SSP) either reduce synchronization frequency or eliminate it altogether, usually at the cost of lower final accuracy. In this paper, we present SelSync, a practical, low-overhead method for DNN training that dynamically chooses to incur or avoid communication at each step either by calling the aggregation op or applying local updates based on their significance. We propose various optimizations as part of SelSync to improve convergence in the context of semi-synchronous training. Our system converges to the same or better accuracy than BSP while reducing training time by up to 14x.

关键词： Cluster computing distributed systems Data-parallel training Federated learning Deep learning

来源：评论

学校读者我要写书评

暂无评论

distributed Model Predictive Control Considering Delay-Compensating Strategy for Urban Vehicle Platooning in A Mixed Autonomy Traffic 26

Distributed Model Predictive Control Considering Delay-Compe...

引用

ieee 26th international conference on Intelligent Transportation systems (ITSC)

作者： Liu, Meiqi Jin, Kairan Hao, Ruochen Dalian Maritime Univ Sch Maritime Econ & Management Dalian 116026 Peoples R China Tongji Univ Shanghai 201804 Peoples R China

ISBN: (纸本)9798350399462

Connected and Automated Vehicles (CAVs) have the potential to reduce traffic congestion, travel delay, and fuel consumption on urban roads. In this paper, the Model Predictive Control (MPC) approach is employed for CAV platooning in the vicinity of signalized intersections in centralized and distributed manners, respectively. The delay-compensating strategy is designed to explicitly incorporate sensor and actuator delays. The performance of the proposed centralized and distributed control approaches is verified in simulation experiments taking into account multiple signal plans, traffic demands, and human driving vehicles. The results demonstrate the sensor and actuator delays can be compensated in the proposed MPC approaches and show the distributed MPC outperforms the centralized MPC. Finally, the proposed superiority of the MPC approaches in travel delay, fuel consumption, and throughput is verified in comparison with the realistic human-driven vehicle trajectory data.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

NB-AirStream: Advancing Air Quality Monitoring with LoRa and NB-IoT Integration 10

NB-AirStream: Advancing Air Quality Monitoring with LoRa and...

引用

10th ieee international conference on Electronics, computing and Communication Technologies (ieee CONECCT)

作者： Yesindan, R. Sangiya, S. Valluvan, R. Mukunthan, T. Ahilan, K. Pravina, M. Univ Jaffna Elect & Elect Engn Jaffna Sri Lanka

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939;9798350385922

Growing concerns about air pollution highlight the need for efficient solutions in air quality monitoring. This study presents a novel air quality assessment system integrating Wireless sensor Network (WSN) with Narrowband Internet of Things (NB-IoT), Long Range (LoRa) communication, and Message Queuing Telemetry Transport (MQTT) technologies. The system adopts a star topology with primary and secondary nodes, utilizing LoRa for primary-secondary communication and NB-IoT for cloud connectivity. Data are processed on the IoT analytics cloud platform ThingsBoard. Deployed on a campus, the system accurately measured varying concentrations and Air Quality Index (AQI) readings. Switching from a frequency of 125kHz to 500kHz improves latency across various scenarios. Investigated improvements include 5.13% with Spreading Factor 7 (SF7) and 4.44% with SF12 at 0 meters, as well as 5.77% with SF7 and 8.33% with SF12 at 80 meters. These findings guide the optimization of air quality monitoring systems for efficient remote monitoring.

关键词： Narrowband Internet of Things (NB-IoT) Long Range (LoRa) Wireless sensor Network (WSN) Air quality (AQ) Message Queuing Telemetry Transport (MQTT)

来源：评论

学校读者我要写书评

暂无评论

bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsification for Efficient distributed Training 43

bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsi...

引用

43rd ieee international conference on distributed computing systems (ICDCS)

作者： Chen, Chang Li, Min Yang, Chao Peking Univ Ctr Data Sci Beijing Peoples R China Peking Univ Sch Math Sci Beijing Peoples R China Peking Univ Natl Engn Lab Big Data Anal & Applicat Beijing Peoples R China PKU Changsha Inst Comp & Digital Econ Beijing Peoples R China

ISBN: (纸本)9798350339864

Communication overhead is one of the major bottlenecks for large-scale distributed model training. Sparse gradient has been proposed to reduce the communication volume dramatically without affecting the model accuracy. However, high-performance implementation of sparse gradient is still hindered by the overheads of gradient sparsification and inefficient implementation of sparse allreduce. For a sparse allreduce operation, the density of intermediate results may dynamically increase as summations progress. Meanwhile, high-performance sparse allreduce is further complicated with heterogeneous bandwidths. To tackle these challenges, we propose bbTopk for efficient sparse gradient training, which includes a new blocked top-k sparsification technique and a novel bandwidth-aware sparse allreduce algorithm. In particular, to alleviate the sparsification overhead, we design a blocked top-k method, which can reduce the overhead without sacrificing model accuracy. We then build a heterogeneity-aware communication model combined with the dynamic workload feature of the sparse allreduce. Guided by that, a new sparse allreduce algorithm is proposed that can take advantage of the network resources by improving bandwidth utilization, reducing cross-node hops, and adjusting the round order. Experiments are conducted on a variety of typical neural networks and distributed environments. Results show that bbTopk can substantially outperform the previous state-of-the-art work in most test cases with up to 2.57x speedup while achieving similar accuracy with the dense model empirically.

关键词： distributed deep learning data parallelism gradient sparsification sparse allreduce heterogeneous networks

来源：评论

学校读者我要写书评

暂无评论

Evaluation and Optimization of Gradient Compression for distributed Deep Learning 43

Evaluation and Optimization of Gradient Compression for Dist...

引用

43rd ieee international conference on distributed computing systems (ICDCS)

作者： Zhang, Lin Zhang, Longteng Shi, Shaohuai Chu, Xiaowen Li, Bo Hong Kong Univ Sci & Technol Hong Kong Peoples R China Hong Kong Baptist Univ Hong Kong Peoples R China Harbin Inst Technol Shenzhen Peoples R China Hong Kong Univ Sci & Technol Guangzhou Hong Kong Peoples R China

ISBN: (纸本)9798350339864

To accelerate distributed training, many gradient compression methods have been proposed to alleviate the communication bottleneck in synchronous stochastic gradient descent (S-SGD), but their efficacy in real-world applications still remains unclear. In this work, we first evaluate the efficiency of three representative compression methods (quantization with Sign-SGD, sparsification with Top-k SGD, and low-rank with Power-SGD) on a 32-GPU cluster. The results show that they cannot always outperform well-optimized S-SGD or even worse due to their incompatibility with three key system optimization techniques (all-reduce, pipelining, and tensor fusion) in S-SGD. To this end, we propose a novel gradient compression method, called alternate compressed Power-SGD (ACP-SGD), which alternately compresses and communicates low-rank matrices. ACP-SGD not only significantly reduces the communication volume, but also enjoys the three system optimizations like S-SGD. Compared with Power-SGD, the optimized ACP-SGD can largely reduce the compression and communication overheads, while achieving similar model accuracy. In our experiments, ACP-SGD achieves an average of 4.06x and 1.43x speedups over S-SGD and Power-SGD, respectively, and it consistently outperforms other baselines across different setups (from 8 GPUs to 64 GPUs and from 1Gb/s Ethernet to 100Gb/s InfiniBand).

关键词： distributed Deep Learning Gradient Compression Power-SGD System Optimization

来源：评论

学校读者我要写书评

暂无评论

distributed Control Application for Smart Grids using RIAPS 9

Distributed Control Application for Smart Grids using RIAPS

引用

ieee international conference on Smart computing (SMARTCOMP)

作者： Ghosh, Purboday Barua, Niloy Krentz, Timothy Karsai, Gabor Dubey, Abhishek Lukic, Srdjan Vanderbilt Univ Inst Software Integrated Syst 221 Kirkland Hall Nashville TN 37235 USA North Carolina State Univ FREEDM Syst Ctr Raleigh NC USA

ISBN: (纸本)9798350322811

The integration of computational capabilities with the electrical infrastructure of the grid can be envisioned as a societal scale Cyber Physical System (CPS). Middleware frameworks can act as a layer of abstraction that manages the interaction between disparate applications to facilitate intelligent control and management of energy production and consumption. This demonstration showcases Resilient Information Architecture Platform for Smart Grid (RIAPS), a distributed software platform that combines a domain specific modeling language with framework-level services such as communication, remote deployment of applications, distributed coordination, time synchronization, and fault tolerance, to develop and run distributed applications. An example of an energy demand curtailment scheme called load shedding is presented, to highlight how the RIAPS framework can be used to implement distributed algorithms to control elements of a power system, which runs as a simulation using OpenDSS.

关键词： component distributed systems smart grid cyber pysical system opendss simulation load shedding middleware

来源：评论

学校读者我要写书评

暂无评论

Efficient Localness Transformer for Smart sensor-Based Energy Disaggregation 18

Efficient Localness Transformer for Smart Sensor-Based Energ...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Yue, Zhenrui Zeng, Huimin Kou, Ziyi Shang, Lanyu Wang, Dong Univ Illinois Sch Informat Sci Champaign IL 61820 USA

ISBN: (纸本)9781665495127

Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time. NILM, or energy disaggregation, refers to the decomposition of electricity usage conditioned on the aggregated power signals (i.e., smart sensor on the main channel). Based on real-time appliance power prediction using sensory technology, energy disaggregation has great potential to increase electricity efficiency and reduce energy expenditure. With the introduction of transformer models, NILM has achieved significant improvements in predicting device power readings. Nevertheless, transformers are less efficient due to O(l2) complexity w.r.t. sequence length l. Moreover, transformers can fail to capture local signal patterns in sequenceto-point settings due to the lack of inductive bias in local context. In this work, we propose an efficient localness transformer for non-intrusive load monitoring (ELTransformer). Specifically, we leverage normalization functions and switch the order of matrix multiplication to approximate self-attention and reduce computational complexity. Additionally, we introduce localness modeling with sparse local attention heads and relative position encodings to enhance the model capacity in extracting short-term local patterns. To the best of our knowledge, ELTransformer is the first NILM model that addresses computational complexity and localness modeling in NILM. With extensive experiments and quantitative analyses, we demonstrate the efficiency and effectiveness of the the proposed ELTransformer with considerable improvements compared to state-of-the-art baselines.

关键词： Smart sensor systems non-intrusive load monitoring energy disaggregation transformer

来源：评论

学校读者我要写书评

暂无评论

Cohabitation of Intelligence and systems: Towards Self-reference in Digital Anatomies 18

Cohabitation of Intelligence and Systems: Towards Self-refer...

引用

18th ieee international conference on Intelligent and Service-Oriented systems Engineering (CISOSE)

作者： Morichetta, Andrea Lackinger, Anna Dustdar, Schahram TU Wien Vienna Austria

ISBN: (纸本)9798331539580

The modern computing scenario of the computing Continuum exhibits large and complex applications with heterogeneous requirements running on distributed infrastructure. Still, when it comes to coordinating and controlling such applications and infrastructures, it is common to rely on centralized or ad-hoc solutions. While these approaches are robust, scaling management solutions, managing local changes, and having a holistic perspective can be challenging. Additionally, they could be better suited for addressing new problems in dynamic environments. Therefore, new approaches are needed. In this paper, we present DICT, a novel method for managing the computing Continuum, i.e., the infrastructure and the applications. The proposed approach encompasses a series of modules for automatic management. The core idea is to develop a method for applying the intents coming from the infrastructure and application managers in an autonomic and dynamic way. The modules can communicate through coordinators that take observable inputs and send them back predictions on the next actions to take. These coordinators have the role of summarizing the sensed observation and extracting high-level information in light of the AI advancement that shows how discrete space representation of inputs improves generalization. Thus, they can have models that build their own semantics and "language." We envision that, through DICT, both the application and the infrastructure management will only have to specify high-level intents and not focus on defining encoded and difficult-to-change strategies.

关键词： computing Continuum Holistic Management distributed Intelligence Intent Coordination

来源：评论

学校读者我要写书评

暂无评论

Design and Evaluation of a K8s-based System for distributed Open-Source Cellular Networks 19

Design and Evaluation of a K8s-based System for Distributed ...

引用

19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Palomares, Javier Coronado, Estefania Rincon, David Shuaib Siddiqui, Muhammad i2CAT Fdn Barcelona Spain Univ Politecn Catalunya UPC Dept Network Engn Barcelona Spain Univ Castilla La Mancha Albacete Spain

ISBN: (纸本)9798350333398

Virtualization in cellular networks is one of the key areas of research where technologies, infrastructure and challenges are rapidly changing as 5G system architecture demands a paradigm shift. This paper aims to study the viability and the performance of cloud-native infrastructures for hosting network functions. The selected frameworks implement both the 4G and the 5G stacks and their network functions. This work considers a variety of scenarios for enabling the deployment of a distributed and open-source cellular network: a baremetal setup, an all-docker-based setup and the proposed Kubernetes setup. Moreover, an analysis of the impact that the Radio Access Network (RAN) and the Core Network (CN) have on computational resource utilization is presented as the network conditions vary. The design proposed in this work has been validated and analyzed using the proposed prototype and testbed. This paper proposes a design to increase resource usage flexibility and performance and reduction of deployment time. The analysis of the gathered data reveals that the deployments of containerized cellular networks display better performance in terms of flexibility, low startup times, and ease of deployment while consuming the same resources as the non-containerized.

关键词： Virtualization NFV SDN distributed systems 4G 5G Performance Evaluation

来源：评论

学校读者我要写书评

暂无评论

Drone-based Optimal and Heuristic Orienteering Algorithms Towards Bug Detection in Orchards 18

Drone-based Optimal and Heuristic Orienteering Algorithms To...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Sorbelli, Francesco Betti Coro, Federico Das, Sajal K. Palazzetti, Lorenzo Pinotti, Cristina M. Univ Perugia Dept Comp Sci & Math Perugia Italy Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA Univ Florence Dept Comp Sci & Math Florence Italy

ISBN: (纸本)9781665495127

In this paper, we consider the problem of using a drone to collect information within orchards in order to detect bugs. An orchard can be modeled as an aisle-graph, which is a regular data structure formed by consecutive aisles where trees are arranged in a straight line. For monitoring the presence of bugs, a drone flies close to the trees and takes videos and/or pictures that will be analyzed offline. As the drone's energy is limited, only a subset of locations in the orchard can be visited with a fully charged battery. Those places that are most likely to be infested should be selected to promptly detect the parasite. We study the budgeted constrained position selection problem in the orchard from an algorithmic point of view. We present the Single-drone Orienteering Aisle-graph Problem (SOAP), a variant of the well-known orienteering problem where the finite resource is the drone's battery. We first show that SOAP can be optimally solved for aisle-graphs in polynomial time. However, the optimal solution is not efficient for large orchards. Then, we propose two efficient heuristics that work even for large (orchard) instances. After a thorough analysis of the proposed solutions, we evaluate their performance by simulation experiments on both synthetic and real data sets.

关键词： Heuristic algorithms Computer bugs Data models sensor systems Batteries Simple object access protocol distributed computing

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 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：