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

4,225 篇 会议
85 篇 期刊文献
77 册 图书

馆藏范围

4,387 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,876 篇 工学
- 2,406 篇 计算机科学与技术...
- 1,339 篇 软件工程
- 624 篇 电气工程
- 540 篇 信息与通信工程
- 353 篇 控制科学与工程
- 150 篇 机械工程
- 121 篇 动力工程及工程热...
- 113 篇 电子科学与技术（可...
- 76 篇 生物工程
- 60 篇 仪器科学与技术
- 55 篇 石油与天然气工程
- 54 篇 环境科学与工程（可...
- 51 篇 材料科学与工程（可...
- 50 篇 建筑学
- 50 篇 生物医学工程（可授...
- 47 篇 光学工程
- 46 篇 交通运输工程
- 44 篇 安全科学与工程
637 篇 理学
- 370 篇 数学
- 136 篇 物理学
- 96 篇 生物学
- 92 篇 统计学（可授理学、...
- 90 篇 系统科学
- 43 篇 化学
512 篇 管理学
- 352 篇 管理科学与工程(可...
- 202 篇 图书情报与档案管...
- 193 篇 工商管理
70 篇 医学
- 56 篇 临床医学
67 篇 法学
- 50 篇 社会学
52 篇 经济学
- 52 篇 应用经济学
31 篇 教育学
12 篇 农学
12 篇 军事学
4 篇 文学
1 篇 艺术学

主题

221 篇 distributed comp...
218 篇 distributed comp...
82 篇 computer archite...
78 篇 distributed data...
72 篇 computer science
69 篇 cloud computing
68 篇 computer network...
64 篇 application soft...
60 篇 grid computing
60 篇 distributed syst...
53 篇 middleware
51 篇 protocols
49 篇 artificial intel...
48 篇 concurrent compu...
48 篇 software enginee...
47 篇 real time system...
47 篇 distributed powe...
42 篇 costs
41 篇 scalability
41 篇 database systems

机构

10 篇 distributed syst...
7 篇 beijing hiwing s...
7 篇 irisa rennes
7 篇 unmanned system ...
7 篇 nanjing universi...
7 篇 college of intel...
7 篇 beijing universi...
7 篇 3-30-1 wajiro-hi...
6 篇 shanghai jiao to...
5 篇 tsinghua univ de...
5 篇 ieee
5 篇 carnegie mellon ...
5 篇 sun yat-sen univ...
5 篇 beijing univ pos...
5 篇 national univers...
5 篇 department of in...
5 篇 american interna...
4 篇 ocean univ china...
4 篇 china electric p...
4 篇 beijing univ pos...

作者

14 篇 dustdar schahram
12 篇 barolli leonard
11 篇 xhafa fatos
11 篇 anon
8 篇 takizawa makoto
7 篇 yifeng niu
7 篇 wenxing fu
7 篇 mancang gu
7 篇 yi qu
5 篇 li kuan-ching
5 篇 enokido tomoya
5 篇 segundo moisés t...
5 篇 luis enrique maf...
4 篇 kulla elis
4 篇 decker christian
4 篇 ikeda makoto
4 篇 molina m. g.
4 篇 truong hong-linh
4 篇 liu feng
4 篇 suresh chandra s...

语言

4,290 篇 英文
82 篇 其他
24 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

共 4387 条记录，以下是131-140 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：

Voice Command Fingerprinting: An in-Depth Examination of Challenges and Issues 3

Voice Command Fingerprinting: An in-Depth Examination of Cha...

引用

3rd IEEE international conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Singh, Paras Nath Mathews, Ann Antu, Anisha Suryanarayana, Ch.V.S. GMR Institute of Technology Department of CSE Rajam532127 India CMR Institute of Technology Department of CSE Bengaluru560037 India Federal Institute of Sc. & Technolgy Department of CSE Kerala Angamaly683577 India Mallareddy Engg. College Maisammaguda Department of CSE-AIML Secundrabad500100 India

ISBN: (纸本)9798331533205

Voice assistant systems.have gained widespread adoption across diverse sectors, including electronics, healthcare, automotive, and retail. Spoken Language Understanding is essential for voice-text interaction systems. Security researchers have already identified vulnerabilities in encrypted network traffic, particularly in the context of traffic analysis, enabling the network-level adversaries to infer the websites visited by users. This security threat, common in traditional web communication, extends to Website Fingerprinting attacks in voice query communication, giving rise to the concept of Voice Command Traffic Fingerprinting. This paper analyses the features, challenges and linguistic properties of VCF(Voice Command Fingerprinting) considering various features. A detailed analysis reveals that the proposed models for voice command categories and factors are more capable to handle the issues. The results and methods in this paper pave the way for further research on the secured models in voice command processing in. The Python tools like Tensor-flow, Scikit-learn and specially Pyttsx3 have been used for generating and filtering datasets. An CTC-Attention-based hybrid model recurrent unit which effectively combine the two models. The proposed model achieves over 99.7% accuracy. © 2025 IEEE.

关键词： distributed computer systems

来源：评论

学校读者我要写书评

暂无评论

distributed Data Addressed in Natural Language 3

Distributed Data Addressed in Natural Language

引用

3rd international conference on Advanced Enterprise Information System (AEIS)

作者： Markova, Ina Ivanova, Krasimira Karastanev, Stefan ITHEA Inst Informat Theories & Applicat Sofia Bulgaria Univ Telecommun & Post Sofia Bulgaria Bulgarian Acad Sci Inst Mech Sofia Bulgaria

ISBN: (纸本)9798350359268

A distributed database management system provides the functionality of a centralized, but in an environment where data is distributed among the sites of a computer network or the nodes of a multiprocessor system. In this paper, we use a data storage approach based on Natural Language Addressing capabilities to support very large distributed databases with O(1) time complexity. We introduce two new data structures: a universal NLA-space and a concrete NLA-space. The NLA-space is a fundamentally new structure for the organization of distributed databases, which does not replace but naturally complements other widely used structures of database management systems. NLA-spaces open a wide field for research and practical implementation in the field of large databases with dynamic semi-structured data (Big Data).

关键词： nla-space distributed databases nla document spaces

来源：评论

学校读者我要写书评

暂无评论

Self-recovery algorithm for islanded black-start load partitioning in distribution networks containing distributed power sources 3

Self-recovery algorithm for islanded black-start load partit...

引用

3rd international conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Liang, Lingyu Zhang, Huanming Zhao, Xiangyu Cao, Shang Huang, Wenqi China Southern Power Grid Digital Grid Research Institute Co. Ltd Guangdong Guangzhou510000 China

ISBN: (纸本)9781510680449

Fault localization is more difficult during islanding black start in distribution grids containing distributed power sources due to the lack of local measurement devices and communication systems. This may lead to inability to accurately determine the fault location, thus affecting the restoration process. In this regard, this paper proposes a load partitioning self-recovery algorithm for islanded black-starting of distribution grids with distributed power sources. First, the distribution network black-start process is modeled as a Markov decision process, and the corresponding states, actions of intelligences and rewards are designed. On this basis, an algorithm for solving the self-healing problem of distribution network based on improved deep Q-network is proposed. The power system topology is connected to a graph convolutional network to capture the complex mechanism of power system black-start. The potential features generated in the grid topology are utilized to learn a control strategy for grid self-healing using deep reinforcement learning. Finally, the effectiveness and practicality of the proposed algorithm is verified by case studies. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach 3

Addressing Collective Computations Efficiency: Towards a Pla...

引用

3rd IEEE international conference on Autonomic computing and Self-Organizing systems.(ACSOS)

作者： Aguzzi, Gianluca Casadei, Roberto Viroli, Mirko Univ Bologna Cesena Italy

ISBN: (数字)9781665471374

ISBN: (纸本)9781665471374

Aggregate computing is a macro-level approach for programming collective intelligence and self-organisation in distributed systems. In this paradigm, system behaviour unfolds as a combination of a system-wide program, functionally manipulating distributed data structures called computational fields, and a distributed protocol where devices work at asynchronous rounds comprising sense-compute-interact steps. Interestingly, there exists a large amount of flexibility in how aggregate systems.could actually execute while preserving the desired functionality. The ideal place for making choices about execution is the aggregate computing platform (or middleware), which can be engineered with the goal of promoting efficiency and other non-functional goals. In this work, we explore the possibility of applying Reinforcement Learning at the platform level in order to optimise aspects of a collective computation while achieving coherent functional goals. This idea is substantiated through synthetic experiments of data propagation and collection, where we show how Q-Learning could reduce the power consumption of aggregate computations.

关键词： Large-Scale distributed systems Aggregate computing Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

2023 IEEE 3rd international conference on Intelligent Technology and Embedded systems. ICITES 2023

2023 IEEE 3rd International Conference on Intelligent Techno...

引用

3rd IEEE international conference on Intelligent Technology and Embedded systems. ICITES 2023

ISBN: (纸本)9798350343755

The proceedings contain 23 papers. The topics discussed include: location privacy protection method on mobile social mode;jointly events extraction for database alarm based on dynamic matching strategy and GCN;distributed PV sharing service mechanism for park based on the concept of sharing economy;distributed energy sharing service mechanism for prosumers in the IoT-enable integrated energy park;research on big data intelligent analysis method and key technologies for the management of main equipment in power grid transmission and transformation based on digital twin technology;study on the medium fusion data storage technology for high performance airborne sensors;and lightweight design with variable density honeycomb structures for mission-critical embedded devices.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimal scheduling of distributed generation in smart microgrids: A comprehensive model and efficient algorithm 3

Optimal scheduling of distributed generation in smart microg...

引用

2024 3rd international conference on Power System and Energy Technology, ICPSET 2024

作者： Zhang, Fan Department of Corporate Strategy Study State Grid Energy Research Institute Beijing102209 China

This study proposes an optimal scheduling model for distributed generation (DG) within smart microgrids, incorporating various distributed energy resources (DERs) such as photovoltaic panels, wind turbines, biomass generators, and energy storage systems. To address the complexities of the scheduling problem, we design a hybrid optimization algorithm combining Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). This hybrid algorithm leverages the global search capabilities of GA and the local search efficiency of PSO to achieve robust and efficient convergence to near-optimal solutions. A comprehensive case study based on a real-world smart microgrid system demonstrates the effectiveness of the proposed model and algorithm. The results indicate significant reductions in total operational costs, enhanced renewable energy utilization, reduced grid dependency, and improved system reliability. This research highlights the potential for broader implementation of the model, contributing to the advancement of smart grid technologies and the transition towards sustainable energy systems. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： distributed energy

来源：评论

学校读者我要写书评

暂无评论

Design and Optimization of Downlink Massive MIMO System Based on OTFS Modulation Enabling Modified 3D-SOMP Channel Estimation 3

Design and Optimization of Downlink Massive MIMO System Base...

引用

3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Zahra, Musaddak Maher Abdul Abdul-Rahaim, Laith A. University of Babylon College of Engineering Electrical Engineering Department Hilla Iraq Al-Mustaqbal University Computer Techniques Engineering Department Hilla Iraq

ISBN: (纸本)9798350399264

Using massive multi-input multi-output (massive MIMO) techniques in the modern wireless transmission links offers highest performance and best spectral efficiency among all the recent techniques. On the other hand, one of the most attractive modern modulation techniques is orthogonal time frequency space (OTFS) technology which is considered as a new modulation's generation that overcome the challenges of fifth generation (5G).Third proposed system implemented using a downlink massive MIMO transmission based on OTFS modulation had been proposed. An efficient channel estimation named 3D-SOMP technique had been proposed for mMIMO-OTFS system with highest performance among all related systems. To obtain better performance by using massive MIMO systems. there are different precoding techniques proposed. ZF and MMSE precoding methods demonstrated to show the best method that can be used in massive MIMO systems. Zero forcing precoding method offers the best performance with less bit error rate among the proposed methods. © 2023 IEEE.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

ML-Driven HR System: Candidate Assessment for Enhanced Recruitment Outcomes 3

ML-Driven HR System: Candidate Assessment for Enhanced Recru...

引用

3rd international conference on Automation, computing and Renewable systems. ICACRS 2024

作者： Dixon, G.C. Srithanujan, S. Ranaweera, H.D.T.N. Ariyarathne, R.M.P.M. Weerasinghe, K.L. Gamage, N. Department of Information Technology SriLanka Institure of Information Technology New Kandy Rd Malabe Sri Lanka Department of Computer System engineering SriLanka Institure of Information Technology New Kandy Rd Malabe Sri Lanka Department of Computer Science and Software Engineering SriLanka Institure of Information Technology New Kandy Rd Malabe Sri Lanka

ISBN: (纸本)9798331532420

This study developed and implemented a machine learning-driven HR system designed to enhance recruitment outcomes, particularly in online interviews. Challenges such as candidate impersonation, interview question memorization, and deepfake manipulations were addressed. The system incorporated several critical processes utilizing advanced algorithms: pre-interview shortlisting employed Support Vector Machines (SVM) achieving 92% accuracy;cognitive skills assessment utilized adaptive testing methods powered by fine-tuned Large Language Models (LLMs) with 88% accuracy;emotional intelligence evaluation was conducted using deep learning-based emotion detection algorithms attaining 85% accuracy;face verification leveraged Convolutional Neural Networks (CNNs) for identity and deepfake detection with 90% accuracy;online video interviews were analyzed through integrated audio-visual processing techniques;language proficiency testing employed Natural Language Processing (NLP) models reaching 87% accuracy;analysis of thinking patterns was performed using sentiment analysis algorithms with 83% accuracy;and candidate grading was facilitated by ensemble learning methods ensuring consistent and reliable evaluations. The results demonstrated the system’s effectiveness in verifying candidate authenticity and assessing competence, providing a robust solution for modern recruitment challenges. © 2024 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Towards distributed Multi-Target Tracking Using Teams of Mobile Robots 3

Towards Distributed Multi-Target Tracking Using Teams of Mob...

引用

3rd international conference on Artificial Intelligence, Automation, and High-Performance computing, AIAHPC 2023

作者： Zhang, Hongru Royal Melbourne Institute of Technology University School of Engineering Melbourne Australia

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

Multi-Robot Multi-Target Tracking (MR-MTT) addresses the problem that a swarm of mobile robots actively detect and move to maintain surveillance of a team of dynamic targets, which is a fundamental problem in the modern robot system and has enormous potential in numerous fields. This paper investigates a series of MR-MTT algorithms, with detailed demonstrations of two distributed approaches to solving MR-MTT in finite iterations. On the one hand, a novel local algorithm is introduced to solve multi-robot multi-target assignments within limited communication rounds. On the other hand, an innovative coverage control algorithm combined with a probability hypothesis density (PHD) filter for target estimation is derived to settle detection and tracking tasks simultaneously. Both algorithms are analysed and discussed mathematically, with simulation experiments demonstrating their efficacy and performance. It is concluded that both algorithms solve the MR-MTT problem in terms of optimal coverage and optimal target estimation, respectively. © 2023 SPIE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

2023 IEEE 3rd international conference on Computer systems. ICCS 2023

2023 IEEE 3rd International Conference on Computer Systems, ...

引用

3rd IEEE international conference on Computer systems. ICCS 2023

ISBN: (纸本)9798350313666

The proceedings contain 34 papers. The topics discussed include: fake and untrue news dataset (FUND): an expanded dataset for fake news classification;blind remote sensing images quality estimation and denoising;design of a small Beidou rdSS shaped circular polarization dual frequency transceiver antenna;big data analytics for literary translation: a case study on female images in 'Moment in Peking';improving YOLOv5n for lightweight ship target detection;DPS-CR: a task scheduling algorithm based on computation reuse in vehicular edge computing;a model parameter update strategy for enhanced asynchronous federated learning algorithm;research on error handling techniques for speech interaction;an anonymous user discovery algorithm based on the naive bayes algorithm;user frustration: shaping the experience of automotive and computing;and GoatWatch: towards the development of a goat GrowthTracking – Internet of Things technology in an e-commerce platform.

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439页 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：