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

17,065 篇 会议
165 篇 期刊文献
36 册 图书

馆藏范围

17,266 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

11,188 篇 工学
- 8,680 篇 计算机科学与技术...
- 4,729 篇 软件工程
- 3,197 篇 电气工程
- 2,188 篇 信息与通信工程
- 1,396 篇 控制科学与工程
- 767 篇 动力工程及工程热...
- 752 篇 电子科学与技术（可...
- 582 篇 生物工程
- 467 篇 机械工程
- 441 篇 仪器科学与技术
- 377 篇 生物医学工程（可授...
- 348 篇 石油与天然气工程
- 320 篇 安全科学与工程
- 315 篇 网络空间安全
- 296 篇 交通运输工程
- 287 篇 环境科学与工程（可...
- 241 篇 化学工程与技术
3,205 篇 理学
- 1,703 篇 数学
- 751 篇 物理学
- 639 篇 生物学
- 450 篇 统计学（可授理学、...
- 413 篇 系统科学
- 373 篇 化学
2,618 篇 管理学
- 1,910 篇 管理科学与工程(可...
- 1,030 篇 工商管理
- 940 篇 图书情报与档案管...
424 篇 医学
- 331 篇 临床医学
- 278 篇 基础医学(可授医学...
361 篇 经济学
- 359 篇 应用经济学
339 篇 法学
- 269 篇 社会学
172 篇 教育学
109 篇 农学
45 篇 文学
25 篇 艺术学
12 篇 军事学
3 篇 哲学

主题

1,852 篇 grid computing
1,514 篇 cloud computing
984 篇 computer science
670 篇 computational mo...
520 篇 resource managem...
517 篇 distributed comp...
514 篇 computer archite...
463 篇 application soft...
330 篇 peer to peer com...
265 篇 concurrent compu...
238 篇 conferences
237 篇 mobile computing
231 篇 servers
229 篇 quality of servi...
227 篇 web services
224 篇 monitoring
207 篇 scalability
206 篇 middleware
199 篇 bandwidth
193 篇 internet of thin...

机构

88 篇 department of ph...
88 篇 dept. of astrono...
88 篇 dept. of physics...
88 篇 dept. of physics...
88 篇 columbia astroph...
88 篇 iii. physikalisc...
88 篇 department of ph...
88 篇 erlangen centre ...
88 篇 département de p...
88 篇 school of physic...
87 篇 technical univer...
87 篇 dept. of physics...
86 篇 dept. of physics...
86 篇 dept. of astrono...
80 篇 department of ph...
80 篇 institut für phy...
74 篇 dept. of physics...
74 篇 dept. of physics...
73 篇 dept. of physics...
73 篇 institut für ker...

作者

87 篇 chen z.
87 篇 butterfield d.
87 篇 haungs a.
87 篇 alameddine j.m.
87 篇 fan k.l.
87 篇 bourbeau e.
87 篇 fritz a.
87 篇 halve l.
87 篇 de clercq c.
87 篇 böttcher j.
87 篇 ha minh m.
87 篇 glauch t.
87 篇 chattopadhyay s.
86 篇 fürst p.
86 篇 günther c.
86 篇 delaunay j.j.
86 篇 feigl n.
86 篇 athanasiadou s.
86 篇 gries o.
86 篇 diaz a.

语言

16,637 篇 英文
529 篇 其他
103 篇 中文
4 篇 西班牙文
4 篇 俄文

检索条件"任意字段=IEEE International Conference on e-Science and Grid Computing"

共 17266 条记录，以下是461-470 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：

STAR-RIS enhanced UAV-MeC Networks: Bi-Directional Task Offloading

STAR-RIS Enhanced UAV-MEC Networks: Bi-Directional Task Offl...

引用

ieee/CIC international conference on Communications in China (ICCC)

作者： Xiao, Han Hu, Xiaoyan Zhang, Weile Wang, Wenjie Wong, Kai-Kit Yang, Kun Xi An Jiao Tong Univ Sch Informat & Commun Engn Xian 710049 Peoples R China UCL Dept Elect & Elect Engn London WC1E 7JE England Univ Essex Sch Comp Sci & Elect Engn Colchester CO4 3SQ Essex England

ISBN: (纸本)9798350378412

This paper introduces a novel multi-user mobile edge computing (MeC) scheme facilitated by simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and unmanned aerial vehicle (UAV). Unlike existing MeC approaches, the proposed scheme enables bi-directional offloading, allowing users to concurrently offload tasks to the MeC servers located at the ground base station (BS) and UAV with STAR-RIS support. Specifically, we formulate an optimization problem aiming at maximizing the amount of the offloaded tasks of users while ensuring the quality of service (QoS) constraints by jointly optimizing the resource allocation, user scheduling, passive beamforming of the STAR-RIS, and the UAV trajectory. A block coordinate descent (BCD) iterative algorithm designed with the successive convex approximation (SCA) technique is proposed to effectively handle the formulated non-convex optimization problem with strongly coupled variables. Simulation results indicate that the proposed STAR-RIS enhanced UAV-enabled MeC scheme possesses significant advantages in enhancing the system's computational capability over other baseline schemes including the conventional RIS-aided scheme.

关键词： STAR-RIS unmanned aerial vehicle (UAV) mobile edge computing (MeC)

来源：评论

学校读者我要写书评

暂无评论

energy-efficient computing Offloading Policy for MeC-assisted Power Sensor Network: A D3QN Approach

Energy-Efficient Computing Offloading Policy for MEC-assiste...

引用

2023 international conference on Cyber-Physical Social Intelligence, ICCSI 2023

作者： Guan, Ti Yao, Yushun Yuan, Chao Liu, Fuhao Liu, Yirong Gu, Rentao State Grid Shandong Electric Power Company Jinan China Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing China State Grid Laiwu Electric Power Supply Company Jinan China State Grid Binzhou Electric Power Supply Company Binzhou China

ISBN: (纸本)9798350312492

With the deep and close integration of massive renewable and controllable terminals into the next generation smart power grid, the amount of data and various applications with different quality requirements will increase greatly, which will be tough challenges for the power sensor network to provide real-time data collecting and processing, global monitoring, and quick response, etc. Meanwhile, due to the limitation in energy supplement and computing capacity, it is a second issue for the sensor network how to work in an energy-efficient way. In this paper, our work sets out to study a reinforcement learning (RL) based computing offloading policy in the mobile edge computing (MeC) assisted power sensor network. By jointly optimizing task scheduling and resource allocation, we propose a new scheme to optimize data latency and energy efficiency. The optimization problem is modeled as a Markov decision process (MDP), and Dueling Double Deep Q Network (D3QN) algorithm is employed to solve this MDP problem. Simulation results demonstrate the effectiveness of the proposed algorithm and its outperformance in reduction of data latency and energy consumption as well as convergence and stability, compared with other benchmarks. © 2023 ieee.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Random Forest and Sobol Method Based Data Center PUe Prediction 12

Random Forest and Sobol Method Based Data Center PUE Predict...

引用

12th ieee international conference on Information and Communication Networks, ICICN 2024

作者： Yan, Longchuan Luan, Zhaofang He, Ling Jiang, Congfeng Liu, Junming Xu, Chuanqi Zhang, Liangbin State Grid Corporation of China Information & Telecommunication Branch Beijing China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Information Technology Center Hangzhou Dianzi University Hangzhou China College of Big Data and Software Engineering Zhejiang Wanli University Ningbo China

ISBN: (纸本)9798350355802

Data centers are critical infrastructures that support a multitude of business loads such as big data, artificial intelligence, and cloud computing. While providing the necessary computing power, the problem of high energy consumption in data centers has become a major obstacle limiting their scale-up, reliability and quality of service. Improving the power usage effectiveness (PUe) of data centers is an important way to improve the energy efficiency of data centers. With the development of theories and methods of machine learning, modeling, analysis and prediction of data center energy consumption using machine learning techniques has become a feasible option. In this study, several accurate PUe prediction models are constructed using neural networks and machine learning techniques for the PUe of a small air-cooled data center in actual operation, among which the mean absolute error of the optimal model reaches 0.29%. In addition, this paper also uses Random Forest and Sobol methods to model and conduct sensitivity analyses of key factors affecting data center PUe, revealing the relationship between data center operating parameters and PUe, and finding that the cooling system exhibits different energy consumption patterns under different IT equipment power conditions, which has a decisive impact on PUe. Based on these sensitivity analyses, we argue that for small air-cooled data centers, improving internal insulation and humidity is an important strategy for optimizing PUe. © 2024 ieee.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Multi Robot Cooperative Control based on edge computing and Multi Agent Reinforcement Learning with Cooperative Planning 2

Multi Robot Cooperative Control based on Edge Computing and ...

引用

2nd ieee international conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Yuan, Huihong Xu, Chaoyang Tu, Feng Ma, Aijun Shi, Hong Wei, Shutian Zhang, Yunfeng State Grid Huzhou Power Supply Company Huzhou China Zhejiang Electric Power Corporation Hangzhou China

ISBN: (纸本)9798331504960

In this era, multi-robot systems play vital role in the sector of environmental monitoring, disaster response, and smart manufacturing. Previous researchers have suggested various traditional methods but still there are challenges such as high latency, bandwidth limitations, and single points of failure, making them unsuitable for time-sensitive and large-scale operations. This article is proposed to develop a system for Multi robot Cooperative Control based on edge computing by employing robust methods such as;Hierarchical Inference, dynamic workload distribution, real-time collaboration on multi-agent. Further, the hierarchical Inference is classified into three layers;cloud layer which is designed using Open Artificial Intelligence (AI) DALL-e, fog layer employed for data preprocessing using various techniques such as median filtering for noise filtering and Linear Discriminant Analysis (LDA) for dimensionality reduction and edge layer is designed by incorporating MobileViT technology. Then, the extracted features are allocated with specific task using federated learning technique namely federated averaged (FedAvg). Finally the Multi Agent Reinforcement Learning (MARL) with Cooperative Planning (CP) is imposed for real-time collaboration in multi agent and has resulted with 0.99 Accumulative Coverage Score (ACS) when compared to the existing Large Language Model (LLM). © 2024 ieee.

关键词： Median filters

来源：评论

学校读者我要写书评

暂无评论

A SPB based LB Algorithm in Order to Schedule the Sequence Task in CCS 4

A SPB based LB Algorithm in Order to Schedule the Sequence T...

引用

4th ieee international conference on Advance computing and Innovative Technologies in engineering, ICACITe 2024

作者： Bindu, G. B. Hima Manjula, L. Tellur, Anil Vincy Devi, V.K. Nasrulaah, Najlaa Muhsin, Omar The Apollo University Department of Cse School of Technology Chittoor India The Oxford College of Engineering Department of Computer Science and Engineering Bangalore India Karnataka Bengaluru India Adi Shankara Institute of Engineering&Technology Department of Computer Applications kalady India National University of Science and Technology Faris Collage of Nursing Dhi Qar64001 Iraq Al-Farahidi University Baghdad Iraq

ISBN: (纸本)9798350360165

The increasing pervasiveness of computers in almost every aspect of our everyday lives has led to a commensurate rise in the need for computing resources, including bandwidth, processing power, and storage space. Originally, computer networks were created to address this difficulty, which helped ideas and paradigms like distributed computing, grid computing, and cluster computing to develop. But providing such services calls for advanced methods to effectively handle workloads and quickly attend to customer demands. One of the major problems with cloud computing is load balancing, which is a vital procedure that distributes work among virtual computers to avoid excess or underuse. In order to support the increasing number of users, the algorithms controlling this work assignment need to balance robustness with efficient use of resources. The related costs and hazards increase, especially for larger organisations, which emphasises how crucial it is to evaluate the risks involved in deploying load balancing algorithms in order to achieve desired service levels. Assessing the algorithms, applications, and rules in a virtualized setting is a useful method for risk assessments. With the use of simulation tools, one may practically mimic the intricacies of actual cloud settings and gain insights into possible problems and performance. As a powerful simulation toolset, CloudSim is intended to fully represent and simulate various cloud environments. It makes experimentation and optimisation easier by providing the ability to design and test different load balancing algorithms and cloud broker policies. © 2024 ieee.

关键词： Cluster computing

来源：评论

学校读者我要写书评

暂无评论

energy efficient Dynamic Load Balancing using Self-Organized Criticality in grid computing 24

Energy Efficient Dynamic Load Balancing using Self-Organized...

引用

24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data science and Systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Kumar, Vivek Swain, Chinmaya Kumar Sahu, Aryabartta Iit Guwahati Dept. of Cse India Srm University Dept. of Cse India

ISBN: (纸本)9798350319934

grid computing refers to a collection of compute resources from different geographic locations to achieve a common objective. It involves tremendous amounts of computational task which require reliable resource sharing across the grid for efficiently executing the tasks. Load disparity is a major issue in grid computing. So effectively and efficiently utilize the potentials of huge distributed resources, load balancing algorithms are of primary importance. In this paper, we proposed an elegant approach using Bak-Tang-Wiesenfeld sandpile model for dynamically load-balancing of tasks across the processing sites in an energy efficient manner. The proposed approach reduces redundant migrations between processing sites by transferring tasks in a breadth first manner. In this approach avalanche propagation condition is stricter and depends on the average load of two adjacent layers of neighbours and use of signalling mechanism rather than actual transfer of tasks during an avalanche, until a destination comes in equilibrium. We experimentally validated by a number of numerical experiments using Google traces. The results of the experiments show the effectiveness of the proposed approach which reduces the number of migrations and improves the energy efficiency without much increasing the total flowtime and degrading the load balancing aspects as compared to state-of-the-art approaches. © 2022 ieee.

关键词： energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Bidirectional LSTM-based attention mechanism for CNN power theft detection 21

Bidirectional LSTM-based attention mechanism for CNN power t...

引用

21st ieee international conference on Trust, Security and Privacy in computing and Communications (ieee TrustCom)

作者： Xia, Zhuoqun Zhou, Kaixin Tan, Jingjing Zhou, Hongmei Changsha Univ Sci & Technol Sch Comp & Commun Engn Changsha Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China

ISBN: (纸本)9781665494250

To decrease the loss of stealing electricity on the smart grid, power theft detection (eTD) is widely concerned and studied. Due to missing values, invalid values, and non-linear data relationships in the grid data, existing electricity theft detection methods will generally lead to training errors, non-convergence, and low accuracy. To address those issues, we propose a CNN-BiLSTM-Attention method to detect electricity stealing behavior. Since the number of normal users in the grid is much larger than that of abnormal users, we propose an improved WGAN-GP (LWGAN-GP) algorithm to solve the data imbalance problem. Based on the generated balanced dataset, CNN and BiLSTM are adopted to extract features from current data and historical data, respectively. To further improve the classification accuracy, we use an attention mechanism to assign weights to the relevant features. Moreover, experiments based on real datasets show that the ACC, AUC, and F1 of the proposed CNN-BiLSTM-Attention method are greater than those of the other three machine learning and deep learning models.

关键词： Smart grid stealing electricity detection WGAN-GP CNN BiLSTM attention

来源：评论

学校读者我要写书评

暂无评论

Modeling of Hybrid Power Systems Combining grid-Following and grid-Forming Inverters Using energetic Macroscopic Representation 13

Modeling of Hybrid Power Systems Combining Grid-Following an...

引用

13th international conference on Control, Automation and Information sciences, ICCAIS 2024

作者： Dang, Khanh-Linh Tran, Linh Vo-Duy, Thanh Ta, Minh C. Trovao, Joao Pedro F. Nguye, Bao-Huy School of Electrical and Electronic Engineering Hanoi University of Science and Technology Cti Lab4EVs Vietnam Viet Nam Université de Sherbrooke E-TESC Lab SherbrookeQCJ1K 2R1 Canada Polytechnic of Coimbra IPC-ISEC Inesc Coimbra Coimbra3030-199 Portugal

ISBN: (纸本)9798331542047

Inverter based resources are expected to be the main power supply source in the future. energetic Macroscopic Representation (eMR) is increasingly effective for modeling and controlling multi-physical systems, which can help to solve the complexity of power grid. However the eMR model of grid connected of this kind of sources has not been discussed widely. This paper presents an model of grid forming and grid following inverter in operating with single machine infinite bus by using eMR. Beside that, the system of both two types of inverter and generator are arranged in ieee 9 bus test system. The simulation of the system is performed with various scenarios to validate the effectiveness of the representation method as well as the control strategy. © 2024 ieee.

关键词： Hybrid power

来源：评论

学校读者我要写书评

暂无评论

A Cluster Comparative Learning Based Abnormal Detection Method for Power IoT Terminals 5

A Cluster Comparative Learning Based Abnormal Detection Meth...

引用

5th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Meng, Zi'ang Zhang, Yiying Cheng, Yang Zhang, Bo Guo, Xiaoyan Wu, Yannian Tianjin University of Science and Technology Tianjin China State Grid Jiangsu Electric Power Company Taizhou Power Supply Company Taizhou China State Grid Smart Grid Research Institute Co. Nanjing China Information and Communication Company Tianjin China Shenzhen Guodian Technology Communication Co. Shenzhen China

ISBN: (纸本)9798350333442

The widespread application of electric power IoT faces a large number of terminal devices sense access due to the complexity of terminal devices and differences in the threat of attack on the power grid is increasingly severe, in order to better ensure the security of the power IoT underlying terminals, this paper proposes a clustering-based comparative learning method for the detection of abnormal behavior of power IoT terminals. First, the sample data are extracted by the scalable self-organizing mapping network model. The mapping is completed to output the data with corresponding feature dimensions, and the data are downscaled and enhanced by the deep self-encoder. Then, it is input to the clustering comparison learning model (SwAV), and the positive and negative sample detection model is constructed by learning to group sample data with similar characteristics. Finally, the results of this model are input to the encoder for anomaly detection of unknown terminal data. The comparison experiments show that this scheme has good superiority and stability compared with other detection models. © 2023 ieee.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

enhanced Short-Term Photovoltaic Power Prediction using a Hybrid Improved Whale Optimization Algorithm with XGBoost 2

Enhanced Short-Term Photovoltaic Power Prediction using a Hy...

引用

2nd international conference on Smart Technologies for Power and Renewable energy, SPeCon 2024

作者： Subramani, Sivakannan Hari, Sathishkumar Asha, K. Francis Densil Raj, V. Shaji, Liliya Ponnu St. Joseph's University Dept of Advanced Computing Bengaluru India Shri Ram Murti Smarak College of Engineering & Technology Dept of Electrical & Electronics Engg Bareilly India

ISBN: (纸本)9798350383041

grid-connected photovoltaic (PV) systems are becoming more and more popular in the renewable energy space, but their volatility and unpredictability present difficulties, especially in the event of variable weather. In order to address these issues, accurate PV power forecasting becomes essential for efficient grid management. In order to address this, we present a model called IMWOA-XGB, which combines XGBoost and the Improved Whale Optimization Algorithm (IMWOA). With the help of our model, PV power projections should be more accurate, allowing for the creation of well-informed generation plans that reduce the grid effect of PV systems. The root mean square error (RMSe) is 18.867 and the mean absolute error (MAe) is 8.639 for the suggested model. © 2024 ieee.

关键词： Machine learning

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 << < 43 44 45 46 47 48 49 50 51 52 > >>

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：