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

6,705 篇 会议
116 册 图书
70 篇 期刊文献

馆藏范围

6,891 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,560 篇 工学
- 3,366 篇 计算机科学与技术...
- 1,736 篇 软件工程
- 1,054 篇 信息与通信工程
- 673 篇 电气工程
- 228 篇 控制科学与工程
- 179 篇 电子科学与技术（可...
- 143 篇 机械工程
- 97 篇 动力工程及工程热...
- 97 篇 生物工程
- 94 篇 测绘科学与技术
- 42 篇 生物医学工程（可授...
- 40 篇 仪器科学与技术
- 39 篇 光学工程
- 34 篇 建筑学
- 29 篇 土木工程
- 28 篇 网络空间安全
- 27 篇 安全科学与工程
771 篇 理学
- 568 篇 数学
- 112 篇 生物学
- 102 篇 统计学（可授理学、...
- 100 篇 物理学
- 75 篇 系统科学
- 37 篇 化学
511 篇 管理学
- 383 篇 管理科学与工程(可...
- 197 篇 工商管理
- 155 篇 图书情报与档案管...
82 篇 医学
- 80 篇 临床医学
- 25 篇 基础医学(可授医学...
42 篇 经济学
- 42 篇 应用经济学
35 篇 法学
- 25 篇 社会学
12 篇 农学
10 篇 文学
8 篇 教育学
8 篇 军事学
1 篇 艺术学

主题

898 篇 distributed comp...
802 篇 computer network...
513 篇 concurrent compu...
450 篇 wireless sensor ...
377 篇 parallel process...
354 篇 computer science
352 篇 routing
344 篇 neural networks
341 篇 computational mo...
304 篇 computer archite...
260 篇 application soft...
255 篇 network topology
253 篇 peer to peer com...
253 篇 protocols
244 篇 bandwidth
235 篇 grid computing
232 篇 software enginee...
189 篇 costs
177 篇 intelligent netw...
176 篇 artificial intel...

机构

28 篇 institute of com...
24 篇 shandong provinc...
20 篇 key laboratory o...
15 篇 shandong fundame...
14 篇 department of co...
13 篇 university of ch...
12 篇 department of co...
11 篇 department of co...
11 篇 department of co...
11 篇 institute of com...
11 篇 national laborat...
11 篇 beijing universi...
10 篇 college of compu...
10 篇 institute of inf...
10 篇 school of cyber ...
10 篇 department of co...
10 篇 school of comput...
9 篇 shandong enginee...
9 篇 department of co...
9 篇 school of comput...

作者

16 篇 jiannong cao
15 篇 m. takizawa
15 篇 li dongsheng
15 篇 shen hong
15 篇 hong shen
14 篇 shietung peng
14 篇 eyas el-qawasmeh
13 篇 lemin li
13 篇 rothermel kurt
12 篇 hai jin
11 篇 dongsheng li
11 篇 wei zhang
10 篇 koibuchi michihi...
10 篇 jack dongarra
10 篇 t. enokido
10 篇 wang yang
10 篇 stephen l. scott
10 篇 j. duato
10 篇 m. ould-khaoua
9 篇 duerr frank

语言

6,711 篇 英文
168 篇 其他
17 篇 中文

检索条件"任意字段=IASTED International Conference on Parallel and Distributed Computing and Networks"

共 6891 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：

Research and Development of Algorithms for Dispatching Tasks in distributed computing Systems

Research and Development of Algorithms for Dispatching Tasks...

引用

international conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Si Thu Thant Sin E. M. Portnov A. M. Bain Institute of System and Software Engineering and Information Technology (Spintech Institute) National Research University of Electronic Technology (MIET) Moscow Russia

ISBN: (数字)9798350395013

ISBN: (纸本)9798350395020

This article delves into heterogeneous computing systems, which employ multi-core processors (CPUs) and graphics processing units (GPUs) concurrently, facilitating efficient handling of resource-intensive tasks demanding substantial computing power. Heterogeneous systems primarily serve to judiciously allocate resources among users and computational processes. The veracity and dependability of the work's outcomes hinge upon the accurate utilization of mathematical tools, findings from experimental studies on heterogeneous SoCs, and practical validation. These systems represent a paradigm shift in computing, leveraging the strengths of both CPUs and GPUs to tackle diverse workloads effectively. By harnessing the parallel processing capabilities of GPUs alongside the general-purpose computing prowess of CPUs, heterogeneous systems optimize performance and throughput, catering to the burgeoning demands of modern computing applications. Through meticulous resource allocation and rigorous validation methodologies, these systems ensure the delivery of reliable and consistent results across a spectrum of tasks. The symbiotic integration of diverse processing units within heterogeneous architectures heralds a new era in computing, empowering users with unparalleled computational capabilities for addressing an array of challenges across various domains.

关键词： Symbiosis Multicore processing Software algorithms Throughput Dispatching Software Heterogeneous networks

来源：评论

学校读者我要写书评

暂无评论

ERROR-BASED OR TARGET-BASED? A UNIFYING FRAMEWORK FOR LEARNING IN RECURRENT SPIKING networks 10

ERROR-BASED OR TARGET-BASED? A UNIFYING FRAMEWORK FOR LEARNI...

引用

10th international conference on Learning Representations, ICLR 2022

作者： Anonymous

Learning in biological or artificial networks means changing the laws governing the network dynamics in order to better behave in a specific situation. In the field of supervised learning, two complementary approaches stand out: error-based and target-based learning. However, there exists no consensus on which is better suited for which task, and what is the most biologically plausible. Here we propose a comprehensive theoretical framework that includes these two frameworks as special cases. This novel theoretical formulation offers major insights into the differences between the two approaches. In particular, we show how target-based naturally emerges from error-based when the number of constraints on the target dynamics, and as a consequence on the internal network dynamics, is comparable to the degrees of freedom of the network. Moreover, given the experimental evidences on the relevance that spikes have in biological networks, we investigate the role of coding with specific patterns of spikes by introducing a parameter that defines the tolerance to precise spike timing during learning. Our approach naturally lends itself to Imitation Learning (and Behavioral Cloning in particular) and we apply it to solve relevant closed-loop tasks such as the button-and-food task, and the 2D Bipedal Walker. We show that a high dimensionality feedback structure is extremely important when it is necessary to solve a task that requires retaining memory for a long time (button-and-food). On the other hand, we find that coding with specific patterns of spikes enables optimal performances in a motor task (the 2D Bipedal Walker). Finally, we show that our theoretical formulation suggests protocols to deduce the structure of learning feedback in biological networks. © 2022 ICLR 2022 - 10th international conference on Learning Representationss. All rights reserved.

关键词： Errors

来源：评论

学校读者我要写书评

暂无评论

NAP: Network Adaptive Proxy for Dynamic Traffic Management in Edge computing

NAP: Network Adaptive Proxy for Dynamic Traffic Management i...

引用

international conference on parallel and distributed Systems (ICPADS)

作者： Zhongjun Mao Xin Li Yanling Bu College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China

ISBN: (数字)9798331515966

ISBN: (纸本)9798331515973

In dynamic edge environments, many nodes are constantly changing their geographical locations, leading to unstable network links and even disconnections among nodes relying on wireless communication. Existing research mainly considers optimizing resource allocation and task processing delays, ignoring the impact of transmission delays in fluctuating network environments. However, the transmission time of tasks or requests may be longer than the processing time, which can significantly affect the quality of service for delay-sensitive services. In such scenarios, the static strategies of EdgeMesh always perform terribly under unstable network. This makes the transmission time of task data fluctuate frequently, resulting in an increase in response time. Therefore, we proposed an adaptive strategy based on network-aware to improve the transmission delay. We implemented such a strategy by developing a proxy named NAP to assist EdgeMesh in dynamic traffic management. In order to adapt to the complex and volatile conditions of edge networks, NAP monitors every node in real-time. It determines the feasible path with the shortest expected transmission time based on the size of different task data, network and resources status among nodes, then proxies the traffic and forwards it in the kernel state. Numerous experimental results demonstrate that NAP can reduce task transmission time by $50 \%$ and significantly improve the end-to-end request latency in edge computing environments compared to native strategies of EdgeMesh.

关键词： Wireless communication Performance evaluation Adaptive systems Source coding Quality of service Real-time systems Delays Time factors Resource management Edge computing

来源：评论

学校读者我要写书评

暂无评论

Efficient Traffic Sign Detection Using CNNs: A Scalable Deep Learning Model

Efficient Traffic Sign Detection Using CNNs: A Scalable Deep...

引用

international conference on parallel distributed and Grid computing (PDGC)

作者： D. Sathya S Benil Jeniffer Rohith S J Lingashkumaar M Rishi Raghav G Department of Artificial Intelligence Kongu Engineering College Erode Tamil Nadu India Kongu Engineering College Erode Tamil Nadu India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

Traffic sign detection plays a crucial role in intelligent transportation systems, enhancing road safety and efficiency. Convolutional Neural networks (CNNs) have shown remarkable performance in this domain. However, achieving optimal results requires careful preprocessing of the input data. In this study, we investigate the impact of preprocessing techniques, including image resizing, normalization, data augmentation, grayscale conversion, and histogram equalization, on the performance of various deep learning models for traffic sign detection. Image resizing is employed to standardize the dimensions of input images, facilitating model training and inference. Normalization is applied to scale pixel values, reducing the influence of lighting and enhancing model robustness. Data augmentation techniques such as rotation, translation, and flipping are utilized to increase the diversity of the training dataset, thereby improving model generalization. Grayscale conversion is explored to reduce computational complexity and enhance model efficiency, while histogram equalization aids in improving contrast and visibility of traffic signs. The effectiveness of these preprocessing techniques is evaluated across a range of popular deep learning architectures, including CNN, ResNet, LeNet, DenseNet, and Inception. Each model's performance is assessed based on metrics such as accuracy, precision, recall, and F1-score. Comparative analysis reveals the impact of preprocessing on model performance and highlights the strengths and weaknesses of different architectures in traffic sign detection tasks. This study contributes to the understanding of preprocessing techniques' role in optimizing deep learning models for traffic sign detection, providing insights for researchers and practitioners working in the field of computer vision and intelligent transportation systems.

关键词： Training Deep learning Histograms Accuracy Computational modeling Computer architecture Gray-scale Real-time systems Data models Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A Novel Fair Frame Time Slot LoRaWAN Internet of Things

A Novel Fair Frame Time Slot LoRaWAN Internet of Things

引用

Intelligent computing and Next Generation networks（ICNGN), international conference on

作者： Mukarram Almuhaya Tawfik Al-Hadhrami Omparakash Kaiwartya David J. Brown Department Computer Science Nottingham Trent University Nottingham UK

ISBN: (数字)9798331529222

ISBN: (纸本)9798331529239

The technologies underpinning low-power wide-area networks (LPWANs) play a crucial role in IoT applications because they fulfil the four major facets that afford successful IoT deployments: long-range, free frequency ISM bands, low-cost, and low energy consumption. Industrial and academic sectors alike have shown keen interest in LoRaWAN technology due to its networking independence and open standard specification among LPWAN options. In spite of this, LoRaWAN has a scaling difficulty when it comes to supporting a large number of devices. This challenge arises from the increased collision risk that is inherent in its Aloha-based physical layer. The performance deteriorates further when some devices use their energy sooner than others, owing to the disparate allocation of spreading factors, hence reducing the network's lifetime. This article presents a novel fair frame scheduling method for allocating service functions to nodes in six parallel frames distributed timely on six frequency band channels with the objective of minimising total data collection time while adhering to radio duty cycle constraints. The result shows that fair frame FF -LoRa minimizes the time of maximum frame (Time a round) to approximately 25%, which makes the farthest device more power efficient and leads to enhancement of the network lifespan.

关键词： Smart agriculture Time-frequency analysis Schedules Scalability LoRaWAN Smart transportation Internet of Things Resource management Standards Low-power wide area networks

来源：评论

学校读者我要写书评

暂无评论

Scheduling Big Machine Learning Tasks on Clusters of Heterogeneous Edge Devices

Scheduling Big Machine Learning Tasks on Clusters of Heterog...

引用

international Communication Systems and networks and Workshops, COMSNETS

作者： Saumya Mathkar Shreya Aiyer Yashovardhan Bapat Pinki Pinki Arnab K. Paul Vinayak Naik Department of CSIS BITS Pilani Goa India

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

Edge computing has transformed machine learning by using computing closer to the data sources, thereby reducing latency. The ever-increasing volume of data has necessitated forming clusters of edge devices, possibly with heterogeneous capabilities. Managing heterogeneous resources such as computation and memory remains challenging. Given the capabilities of the edge devices, we need a simple technique suitable for an Edge computing *** introduce a scheduling mechanism that leverages Integer Linear Programming (ILP) to optimize the overall computation time of ML-based tasks. We implement our scheduling mechanism that efficiently allocates resources, ensuring tasks are executed parallel across the cores of edge devices in a cluster by minimizing computation time. For tasks large enough to fit on any core, we leverage distributed learning to train the model in pieces and later combine them. We employ our ILP-based scheduler for efficient task allocation and compare its performance with a Greedy, simple approach based on best-fit technique. We evaluate our approach on three cases of sets of tasks on the spectrum of uniformity and size. Our results demonstrate two times the speed gain for our ILP-based approach over Greedy for the category with the least uniformity and large size.

关键词： Performance evaluation Computer aided instruction Machine learning algorithms Processor scheduling Distance learning Soft sensors Machine learning Integer linear programming Resource management Edge computing

来源：评论

学校读者我要写书评

暂无评论

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus networks

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicula...

引用

Euromicro conference on parallel, distributed and Network-Based Processing

作者： Jonathan Rendel William Balte Harrison Kurunathan Hazem Ismail Ali Alexandre Dos Santos Roque Wagner Ourique De Morais Mahdi Fazeli Department for Computing and Electronics for Real-time and Embedded Systems (CERES) School of Information Technology (ITE) Halmstad University Halmstad Sweden CISTER/ISEP Polytechnic Institute of Porto Portugal Graduate Program of Electrical Engineering Federal University of Rio Grande do Sul - UFRGS Porto Alegre Brazil

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Zero-day attacks present a significant security threat to vehicular networks, exploiting vulnerabilities at both software and hardware levels within such systems that remain undiscovered. Mitigating these threats is essential to ensuring the safety and security of vehicular systems. Support Vector Machine (SVM) is a good candidate for anomaly detection of zero-day attacks within vehicular networks because it can handle highdimensional data and effectively distinguish between normal and abnormal patterns in complex and dynamic environments. A trained SVM on the normal operation data of in-vehicular network can identify flag deviations, thus making it effective in the detection of any previously unknown attack patterns, which is a common behaviour of zero-day attacks. In this paper, we introduce an anomaly detection method called “ZeroCAN” which models the behaviour of every single electronic control unit on the network with a separate SVM and a set of high-level features that capture the timing and data payload aspects of CANbus traffic. This approach achieves an anomaly detection rate of over $\mathbf{9 9 \%}$ and a false positive rate below $\mathbf{0. 0 1 \%}$ during normal operation in most cases.

关键词： Support vector machines Telecommunication traffic Feature extraction Data models Timing Security Vehicle dynamics Anomaly detection Standards Payloads

来源：评论

学校读者我要写书评

暂无评论

Neural network computing using a large-area VCSEL 27

Neural network computing using a large-area VCSEL

引用

27th international Semiconductor Laser conference (ISLC)

作者： Porte, Xavier Skalli, Anas Haghighi, Nasibeh Reitzenstein, Stephan Lott, James A. Brunner, Daniel Univ Bourgogne Franche Comte Inst FEMTO ST CNRS UMR 6174 Besancon France Tech Univ Berlin Inst Festkorperphys Hardenbergstr 36 D-10623 Berlin Germany

We implement a fully parallel photonic neural network based on the spatially distributed modes of a large-area vertical-cavity surface-emitting laser. All photonic connections are realized in hardware and the system i... 详细信息

ISBN: (纸本)9781665441339

关键词： Neural networks Laser modes Hardware Vertical cavity surface emitting lasers Photonics

来源：评论

学校读者我要写书评

暂无评论

Clustering Techniques in Vehicular Adhoc networks- A Survey

Clustering Techniques in Vehicular Adhoc Networks- A Survey

引用

international conference on parallel distributed and Grid computing (PDGC)

作者： Gurtej Kaur Meenu Khurana Amandeep Kaur Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781665454025

The vehicular adhoc networks (VANETs) is an integral part of the intelligent transportation system required for delivering safety and non-safety messages to vehicles in real-time via vehicle to vehicle and vehicle to everything communication modes. The purpose of VANETs is to provide efficient routing, message security, congestion-free traffic, and other services related to entertainment and comfortable journey. All these VANETs services, at the core, are related to efficient and secure data dissemination. In this paper, we have focused on clustering in VANETs for efficient data dissemination and resource sharing tasks. Considering the importance of fog computing for fast computing and processing, we have focused on clustering techniques in Fog-based VANET as well that can enhance the range of transmission and expand the number of available resources. This survey paper discusses the existing clustering techniques in VANETs scenario, cluster head selection parameters, the context-based techniques, and cluster performance parameters in VANETs.

关键词： Data dissemination Vehicular ad hoc networks Transportation Routing Real-time systems Safety Security

来源：评论

学校读者我要写书评

暂无评论

AudioWrite: A Handwriting Recognition System Using Acoustic Signals

AudioWrite: A Handwriting Recognition System Using Acoustic ...

引用

international conference on parallel and distributed Systems (ICPADS)

作者： Lin Wang Junbao Zhang Yue Li Haoyu Wang Zhongyuan University of Technology Zhengzhou China

In this paper, we propose AudioWrite, an acoustic-based handwriting recognition system. It utilizes the built-in microphone to capture sounds produced by the finger sliding on the surface of the object to recognize handwritten characters. We first design a segmentation algorithm to detect handwritten sounds in real time and accurately segment character signals. Then we extract time-frequency features from sound signals by performing short-time Fourier transform (STFT). Moreover, in order to obtain sufficient training samples at low cost to build an effective classification model, we adopt Generative Adversarial Network (GAN) to generate synthetic data with only a small set of real-world data. Since mobile devices are usually limited in storage and computing resources, we use the lightweight ShuffleNetV2 model to recognize handwritten characters. We implement AudioWrite as an Android application and conduct experimental evaluations. The results demonstrate that AudioWrite can recognize handwritten characters (10 numbers and 26 uppercase letters) in real time with an overall accuracy of 92.2%.

关键词： Training Handwriting recognition Time-frequency analysis Computational modeling Generative adversarial networks Feature extraction Real-time systems

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：