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

1,624 篇 会议
13 篇 期刊文献
9 册 图书

馆藏范围

1,646 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

916 篇 工学
- 838 篇 计算机科学与技术...
- 323 篇 软件工程
- 211 篇 信息与通信工程
- 133 篇 电气工程
- 63 篇 控制科学与工程
- 31 篇 生物工程
- 22 篇 生物医学工程（可授...
- 17 篇 电子科学与技术（可...
- 15 篇 动力工程及工程热...
- 15 篇 安全科学与工程
- 14 篇 网络空间安全
- 13 篇 建筑学
- 12 篇 土木工程
- 10 篇 仪器科学与技术
- 10 篇 交通运输工程
- 9 篇 机械工程
- 9 篇 材料科学与工程（可...
- 8 篇 化学工程与技术
183 篇 理学
- 89 篇 数学
- 68 篇 物理学
- 33 篇 生物学
- 19 篇 系统科学
- 18 篇 统计学（可授理学、...
134 篇 管理学
- 94 篇 管理科学与工程(可...
- 59 篇 图书情报与档案管...
- 57 篇 工商管理
20 篇 法学
- 16 篇 社会学
17 篇 经济学
- 15 篇 应用经济学
17 篇 医学
- 16 篇 临床医学
- 14 篇 基础医学(可授医学...
2 篇 农学
1 篇 教育学
1 篇 文学
1 篇 军事学
1 篇 艺术学

主题

156 篇 distributed comp...
113 篇 cloud computing
78 篇 peer to peer com...
74 篇 application soft...
67 篇 protocols
67 篇 computer network...
64 篇 computational mo...
63 篇 mobile computing
56 篇 computer science
56 篇 computer archite...
49 篇 high performance...
47 篇 routing
46 篇 bandwidth
45 篇 internet
45 篇 middleware
43 篇 privacy
40 篇 costs
39 篇 resource managem...
39 篇 distributed comp...
38 篇 social networkin...

机构

14 篇 state key labora...
10 篇 gansu provincial...
9 篇 beijing universi...
7 篇 institute of com...
7 篇 cern geneva
6 篇 college of compu...
6 篇 shenzhen institu...
6 篇 tokyo denki univ...
5 篇 department of ph...
5 篇 dept. of astrono...
5 篇 dept. of physics...
5 篇 dept. of physics...
5 篇 iii. physikalisc...
5 篇 erlangen centre ...
5 篇 département de p...
5 篇 school of physic...
5 篇 dept. of physics...
5 篇 dept. of physics...
5 篇 department of ph...
5 篇 institut für phy...

作者

8 篇 takizawa makoto
6 篇 huang lican
6 篇 enokido tomoya
6 篇 makoto takizawa
5 篇 de ridder s.
5 篇 choi k.
5 篇 an r.
5 篇 haungs a.
5 篇 fürst p.
5 篇 cross r.
5 篇 bradascio f.
5 篇 fan k.l.
5 篇 bourbeau e.
5 篇 fritz a.
5 篇 bastian b.
5 篇 gündüz m.
5 篇 dvorak e.
5 篇 halve l.
5 篇 gonzalez j.g.
5 篇 de clercq c.

语言

1,636 篇 英文
8 篇 中文
5 篇 其他

检索条件"任意字段=Proceedings of the 22nd International Conference on Distributed Computing and Networking"

共 1646 条记录，以下是171-180 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：

Bio-Inspired Energy Distribution for Programmable Matter 21

Bio-Inspired Energy Distribution for Programmable Matter

引用

22nd international conference on distributed computing and networking (ICDCN)

作者： Daymude, Joshua J. Richa, Andrea W. Weber, Jamison W. Arizona State Univ Comp Sci CIDSE Tempe AZ 85287 USA

ISBN: (纸本)9781450389334

In systems of active programmable matter, individual modules require a constant supply of energy to participate in the system's collective behavior. These systems are often powered by an external energy source accessible by at least one module and rely on module-to-module power transfer to distribute energy throughout the system. While much effort has gone into addressing challenging aspects of power management in programmable matter hardware, algorithmic theory for programmable matter has largely ignored the impact of energy usage and distribution on algorithm feasibility and efficiency. In this work, we present an algorithm for energy distribution in the amoebot model that is loosely inspired by the growth behavior of Bacillus subtilis bacterial biofilms. These bacteria use chemical signaling to communicate their metabolic states and regulate nutrient consumption throughout the biofilm, ensuring that all bacteria receive the nutrients they need. Our algorithm similarly uses communication to inhibit energy usage when there are starving modules, enabling all modules to receive sufficient energy to meet their demands. As a supporting but independent result, we extend the amoebot model's well-established spanning forest primitive so that it self-stabilizes in the presence of crash failures. We conclude by showing how this self-stabilizing primitive can be leveraged to compose our energy distribution algorithm with existing amoebot model algorithms, effectively generalizing previous work to also consider energy constraints.

关键词： programmable matter self-organization distributed algorithms biologically-inspired algorithms biofilms energy

来源：评论

学校读者我要写书评

暂无评论

Energy-Efficient Resource Allocation for Slicing-enabled Multi-access Edge computing 19

Energy-Efficient Resource Allocation for Slicing-enabled Mul...

引用

2022 IEEE SmartWorld, 19th IEEE international conference on Ubiquitous Intelligence and computing, 2022 IEEE international conference on Autonomous and Trusted Vehicles conference, 22nd IEEE international conference on Scalable computing and Communications, 2022 IEEE international conference on Digital Twin, 8th IEEE international conference on Privacy computing and 2022 IEEE international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Xu, Yanan He, Zhenli Zhang, Yin Zhou, Wei Yunnan University Engineering Research Center of Cyberspace Kunming China Yunnan University School of Software Kunming China University of Electronic Science and Technology of China School of Information and Communication Engineering Sichuan China

ISBN: (纸本)9798350346558

Multi-access edge computing (MEC) provides a distributed computing environment and cloud-like services at the network edge, aiming to relieve high network latency and enormous backbone network pressure. However, with the diversification of mobile devices and increased demand for mobile services, the shortage of edge computing resources has become a new challenge. In this context, researching more efficient resource management methods has become the key to addressing this challenge. This paper investigates the energy-efficient computing resource allocation problem in a slicing-enabled MEC system. First, we establish mathematical models to characterize the MEC system and characterize each edge server (ES) slice as an M/M/m queueing model, such that the average power consumption (APC) of the ES and the average response time (ART) of different tasks can be calculated analytically. Then, we design numerical methods to obtain the optimal resource allocation scheme for each ES slice to reduce the ES's APC while ensuring that the ART meets the latency constraints of different tasks. Finally, we provide several numerical experiments to show the effectiveness of the proposed methods. © 2022 IEEE.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

Temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge computing Environments 22nd

Temperature Matrix-Based Data Placement Using Improved Hunga...

引用

22nd international conference on Parallel and distributed computing, Applications and Technologies (PDCAT 2021)

作者： Zhao, Yuying Wang, Pengwei Huang, Hengdi Zhang, Zhaohui Donghua Univ Sch Comp Sci & Technol Shanghai 201620 Peoples R China Minist Educ Engn Res Ctr Digitalized Text & Fash Technol Shanghai 201620 Peoples R China

ISBN: (纸本)9783030967727;9783030967710

The scale of data shows an explosive growth trend, with wide use of cloud storage. However, there are problems such as network latency and power costs. The emergence of edge computing brings data close to the edge of the network, making edge computing a good supplement to cloud computing. The spatiotemporal characteristics of data have been largely ignored in studies of data placement and storage optimization. To address this, we propose a temperature matrix-based data placement method using an improved Hungarian algorithm (TEMPLIH). A temperature matrix reflects the influence of data characteristics on its placement. A replica selection algorithm based on a temperature matrix (RSA-TM) can meet latency requirements. An improved Hungarian algorithm (IHA-RM) is proposed on the basis of replica selection, which satisfies the balance among the multiple goals of latency, cost, and load balancing. Compared with commonly used data placement strategies, experiments show that TEMPLIH can effectively reduce the cost of data placement while meeting user access latency requirements and maintaining a reasonable load balance between edge servers.

关键词： Edge computing Data placement Data temperature Hungarian algorithm Load balancing

来源：评论

学校读者我要写书评

暂无评论

Architecture, Design and Implementation of a Modular Solution Prototype for Flood and Fire Risk Mitigation in Wetlands

Architecture, Design and Implementation of a Modular Solutio...

引用

Roedunet international conference (RoEduNet)

作者： Eduard-Cristian Popovici Alexandru Vulpe Laurenţiu Boicescu George Suciu Cosmin Andrei Conţu Telecommunication Department University Politehnica of Bucharest Bucharest Romania R&D Department BEIA Consult International Bucharest Romania

This paper presents the architecture, design, and some implementation details of a system aimed at using fire and flood sensors, processing the resulting data to detect sudden increases in temperature and water levels, and generating visual alerts to wetland administering authorities, for better crisis assessment and early response to wetland threats. Besides customizing and connecting the sensors, a communication infrastructure was created, including connectivity with sensors, the database, the user through a graphical interface, and modules to process the sensors data and generate alarms. We also developed and integrated a simulator for real-time sensor data. This distributed solution was virtualized in Docker with the aim that potential users could download our work and, in a guided way, be able to redo it. Besides presenting all these results, our paper ends describing our future developments plans and strategies to follow.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Evaluation of Blockchain Application Requirements and Their Satisfaction in Hyperledger Fabric A Practical Experience Report 22nd

An Evaluation of Blockchain Application Requirements and The...

引用

22nd IFIP WG 6.1 international conference on distributed Applications and Interoperable Systems (DAIS) Held as Part of the 17th international Federated conference on distributed computing Techniques (DisCoTec)

作者： Ben Toumia, Sadok Berger, Christian Reiser, Hans P. Univ Passau Passau Germany Reykjavik Univ Reykjavik Iceland

ISBN: (纸本)9783031160929;9783031160912

Blockchain applications may offer better fault-tolerance, integrity, traceability and transparency compared to centralized solutions. Despite these benefits, few businesses switch to blockchain-based applications. Industries worry that the current blockchain implementations do not meet their requirements, e.g., when it comes to scalability, throughput or latency. Hyperledger Fabric (HLF) is a permissioned blockchain infrastructure that aims to meet enterprise needs and provides a highly modular and well-conceived architecture. In this paper, we survey and analyse requirements of blockchain applications in respect to their underlying infrastructure by focusing mainly on performance and resilience characteristics. Subsequently, we discuss to what extent Fabric's current design allows it to meet these requirements. We further evaluate the performance of Hyperledger Fabric 2.2 simulating different use case scenarios by comparing single with multi-ordering service performance and conducting an evaluation with mixed workloads.

关键词： Hyperledger Fabric distributed Ledger Technology Application Requirements Blockchain Performance Scalability Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Evaluating Data Trust in Blockchain-Based IoT Systems Using Machine Learning Techniques 22

Evaluating Data Trust in Blockchain-Based IoT Systems Using ...

引用

22nd IEEE Consumer Communications and networking conference, CCNC 2025

作者： Ratnayake, Rashmi Liyanage, Madhusanka Murphy, Liam School of Computer Science University College Dublin Ireland

ISBN: (纸本)9798331508050

The convergence of blockchain and Internet of Things (IoT) has become increasingly prevalent recently, as it addresses challenges such as single point of failure and security concerns associated with IoT. Blockchain offers immutable data storage, availability, and transparency, but a significant drawback lies in its inability to verify the truthfulness of the data stored on it. State-of-the-art systems attempting to mitigate this concern often rely on conventional reputation-based approaches, which predominantly evaluate historical data from sensors and neglect the critical assessment of data in real-time. Furthermore, there is limited research on incorporating machine learning (ML) methods to enhance data trustworthiness in blockchain systems. This paper proposes a novel ML-based trust assessment approach that takes into account both historical reputation and real-time data trust-worthiness. Our approach integrates multiple ML models within a blockchain framework using edge servers and validators, effectively functioning as a distributed ensemble to enhance classification accuracy, and contributing to more accurate reputation score calculations. Our results demonstrate significant accuracy gains in distinguishing trustworthy and untrustworthy IoT sensor data in blockchain networks. © 2025 IEEE.

关键词： Trusted computing

来源：评论

学校读者我要写书评

暂无评论

Energy-Aware Clustering for Efficient CKKS Encryption in Smart Agriculture

Energy-Aware Clustering for Efficient CKKS Encryption in Sma...

引用

Consumer Communications and networking conference, CCNC IEEE

作者： Huzaif Khan Lokesh Purohit Ali Jalooli Department of Computer Science California State University Dominguez Hills Carson CA USA

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

Securing data communication in smart agriculture is crucial to ensure the integrity and confidentiality of information transmitted from distributed sensor networks to cloud infrastructure. Cheon-Kim-Kim-Song (CKKS) homomorphic encryption offers robust security by enabling computations on encrypted data. However, its high computational and energy demands pose challenges for battery-powered sensors. To address this, we propose the EnergyGreedy Clustering Algorithm (EGCA), which reduces energy consumption by optimizing sensor clustering. Each cluster is managed by a cluster head that aggregates data and minimizes direct transmissions, making CKKS encryption more feasible in resource-constrained environments. Our simulations show that EGCA significantly improves packet delivery ratio and delay to provide a robust solution for secure data communication in smart agriculture.

关键词： Smart agriculture Energy consumption Cloud computing Clustering algorithms Data aggregation Energy efficiency Data models Delays Data communication Homomorphic encryption

来源：评论

学校读者我要写书评

暂无评论

Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch 22

Accelerating Real-Time Imaging for Radiotherapy: Leveraging ...

引用

22nd IEEE international conference on Machine Learning and Applications, ICMLA 2023

作者： Obe, Ruth Kaufmann, Brandt Baird, Kaelen Kadel, Sam Soltani, Yasmin Cham, Mostafa Gobbert, Matthias K. Barajas, Carlos A. Jiang, Zhuoran Sharma, Vijay R. Ren, Lei Peterson, Stephen W. Poif, Jerimy C. U. of Houston-Clear Lake Dept. of Computer Science and of Software Engineering United States U. of San Francisco Dept. of Mathematics and Statistics United States Skidmore College Dept. of Computer Science and of Mathematics United States Mount Holyoke College Dept. of Computer Science and of Psychology United States U. of Houston Dept. of Biomedical Engineering United States U. of Maryland Dept. of Information Systems Baltimore County United States U. of Maryland Dept. of Mathematics and Statistics Baltimore County United States Medical Physics Graduate Program Duke University United States U. of Maryland School of Medicine Dept. of Radiation Oncology United States U. of Maryland School of Medicine Department of Radiation Oncology United States U. of Cape Town Dept. of Physics South Africa H3D Inc. United States

ISBN: (纸本)9798350345346

Proton beam therapy is an advanced form of cancer radiotherapy that uses high-energy proton beams to deliver precise and targeted radiation to tumors. This helps to mit-igate unnecessary radiation exposure in healthy tissues. Real-time imaging of prompt gamma rays with Compton cameras has been suggested to improve therapy efficacy. However, the camera's non-zero time resolution leads to incorrect interaction classifications and noisy images that are insufficient for accurately assessing proton delivery in patients. To address the challenges posed by the Compton camera's image quality, machine learning techniques are employed to classify and refine the generated data. These machine-learning techniques include recurrent and feedforward neural networks. A PyTorch model was designed to improve the data captured by the Compton camera. This decision was driven by PyTorch's flexibility, powerful capabilities in handling sequential data, and enhanced G PU usage. This accelerates the model's computations on large-scale radiotherapy data. Through hyperparameter tuning, the validation accuracy of our PyTorch model has been improved from an initial 7 % to over 60 %. Moreover, the PyTorch distributed Data Parallelism strategy was used to train the RNN models on multiple G PU s, which significantly reduced the training time with a minor impact on model accuracy. © 2023 IEEE.

关键词： Clas-sification Compton camera distributed Data Parallelism Proton beam therapy PyTorch Recurrent neural network

来源：评论

学校读者我要写书评

暂无评论

22nd international conference on Computational Science and Its Applications, ICCSA 2022

22nd International Conference on Computational Science and I...

引用

22nd international conference on Computational Science and Its Applications, ICCSA 2022

ISBN: (纸本)9783031104497

The proceedings contain 81 papers. The special focus in this conference is on Computational Science and Its Applications. The topics include: Computerized Adaptive Testing: A Unified Approach Under Markov Decision Process;on the Solution of Time-Fractional Diffusion Models;a Stacking Recommender System Based on Contextual Information for Fashion Retails;a Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images;impact of Radio Map Size on Indoor Localization Accuracy;ontology Quality Evaluation Methodology;acoustic Nudging-Based Model for Vocabulary Reformulation in Continuous Yorùbá Speech Recognition;big Data Software Architectures: An Updated Review;a Blind Source Separation Technique for Document Restoration Based on Image Discrete Derivative;interval Approximation of the Discrete Helmholtz Propagator for the Radio-Wave Propagation Along the Earth’s Surface;A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence;A Novel, Fast and Robust Triangular Mesh Reconstruction from a Wire-Frame 3D Model with Holes for CAD/CAM Systems;torus of Revolution Generated by Curves of Eight;eye Centre Localisation with Convolutional Neural Networks in High- and Low-Resolution Images;the Adoption of Microservices Architecture as a Natural Consequence of Legacy System Migration at Police Intelligence Department;Reducing Cache Miss Rate Using Thread Oversubscription to Accelerate an MPI-OpenMP-Based 2-D Hopmoc Method;IPAM: An Improved Penalty Aware VM Migration Technique;Attacks, Detection Mechanisms and Their Limits in Named Data networking (ndN);Secure East-West Communication to Approve Service Access Continuity for Mobile Devices in a distributed SDN;network Size Reduction Preserving Optimal Modularity and Clique Partition;an Extension of the Babel Protocol to Include Operating Cost: Providing Sustainability in Community Networks;model Based Migration of Cloud Systems: Review and Roadmap;En

关键词：

来源：评论

学校读者我要写书评

暂无评论

22nd international conference on Computational Science and Its Applications, ICCSA 2022

22nd International Conference on Computational Science and I...

引用

22nd international conference on Computational Science and Its Applications, ICCSA 2022

ISBN: (纸本)9783031105210

关键词：

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165页 << < 14 15 16 17 18 19 20 21 22 23 > >>

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：