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

387 篇 会议
7 册 图书
4 篇 期刊文献

馆藏范围

398 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

267 篇 工学
- 240 篇 计算机科学与技术...
- 148 篇 软件工程
- 70 篇 信息与通信工程
- 68 篇 电气工程
- 46 篇 控制科学与工程
- 15 篇 生物工程
- 14 篇 动力工程及工程热...
- 13 篇 安全科学与工程
- 12 篇 仪器科学与技术
- 11 篇 机械工程
- 10 篇 交通运输工程
- 10 篇 环境科学与工程（可...
- 9 篇 电子科学与技术（可...
- 8 篇 建筑学
- 7 篇 材料科学与工程（可...
- 7 篇 生物医学工程（可授...
- 7 篇 网络空间安全
72 篇 理学
- 36 篇 数学
- 17 篇 生物学
- 13 篇 系统科学
- 9 篇 统计学（可授理学、...
- 8 篇 物理学
- 8 篇 大气科学
53 篇 管理学
- 39 篇 管理科学与工程(可...
- 20 篇 工商管理
- 17 篇 图书情报与档案管...
19 篇 法学
- 12 篇 法学
- 9 篇 社会学
8 篇 农学
8 篇 医学
- 8 篇 基础医学(可授医学...
- 8 篇 临床医学
6 篇 经济学
2 篇 教育学

主题

67 篇 internet of thin...
42 篇 cloud computing
24 篇 internet
13 篇 computer archite...
12 篇 distributed comp...
12 篇 edge computing
10 篇 computer science
10 篇 security
10 篇 web and internet...
9 篇 resource managem...
9 篇 real-time system...
9 篇 protocols
9 篇 fog computing
9 篇 distributed data...
8 篇 application soft...
8 篇 costs
8 篇 mobile computing
7 篇 scalability
7 篇 data privacy
7 篇 software enginee...

机构

5 篇 college of techn...
5 篇 sr university de...
4 篇 chitkara univers...
4 篇 school of comput...
3 篇 nitte meenakshi ...
3 篇 uttaranchal inst...
3 篇 dept. of cs geor...
3 篇 school of electr...
3 篇 department of co...
2 篇 department of op...
2 篇 department of cs...
2 篇 state grid econo...
2 篇 school of geomat...
2 篇 department of cs...
2 篇 peking univ shen...
2 篇 panimalar engine...
2 篇 college of compu...
2 篇 kiet school of m...
2 篇 international un...
2 篇 central south un...

作者

3 篇 pareek piyush ku...
3 篇 yi pan
2 篇 jianhua sun
2 篇 ding runwei
2 篇 shu-ching wang
2 篇 h. le
2 篇 rahul jagtap
2 篇 sonia
2 篇 sudhakar k.
2 篇 himanshu
2 篇 runwei ding
2 篇 a. simmonds
2 篇 chauhan rahul
2 篇 gyankamal chhaje...
2 篇 wang shun-sheng
2 篇 kwei-jay lin
2 篇 dineshkumar r.
2 篇 wang meng
2 篇 yan kuo-qin
2 篇 liu fang

语言

381 篇 英文
17 篇 其他
2 篇 中文

检索条件"任意字段=3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006"

共 398 条记录，以下是391-400 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：

Blockchain and Quantum Cryptography-Based Hybrid Security for Healthcare 5.0 Systems

Blockchain and Quantum Cryptography-Based Hybrid Security fo...

引用

computing, Communication, Perception and Quantum technology (CCPQT), international conference on

作者： Nishit Agarwal Phanindra Kumar Kankanampati Shyamakrishna Siddharth Chamarthy Imran Khan Arpit Jain Muntather Almusawi Northeastern University Jersey City NJ USA Binghamton University Richmond Tx USA Columbia University New York Brooklyn NY USA Visvesvaraya Technological University India Department of Computer Science and Engineering Vadeshawaram A.P. India The Islamic University Najaf Iraq

ISBN: (数字)9798331528386

ISBN: (纸本)9798331528393

Healthcare systems can be simplified and enhanced by integrating digital databases and insurance agencies. However, as healthcare data increasingly travels over the internet, concerns around security and privacy-such as data breaches and unauthorized data modifications-become more pressing. The General Data Protection Regulation (GDPR) highlights the importance of secure data management in building trust in the protection of individuals' personal information. Blockchain technology presents an opportunity to make healthcare systems more efficient, secure, and private. This paper examines current security architectures designed to protect electronic health records (EHRs) and proposes the addition of Quantum Cryptography (QC) to reinforce traditional encryption methods. We explore blockchain-based healthcare architectures that integrate role-based access controls and quantum blind signatures within Hyperledger Fabric blockchains. Our findings demonstrate that the proposed framework outperforms existing systems in transaction handling, resource efficiency, and network traffic management while also enhancing scalability and reducing latency.

关键词： distributed ledger Scalability Medical services Telecommunication traffic Computer architecture Throughput Fabrics Blockchains Time factors General Data Protection Regulation

来源：评论

学校读者我要写书评

暂无评论

Denial of Service Attack Detection and Mitigation using Ensemble based ML in Software Defined Network

Denial of Service Attack Detection and Mitigation using Ense...

引用

Applied Artificial Intelligence and computing (ICAAIC), international conference on

作者： N. Sathish K. Valarmathi R. Nagalakshmi K Hema Priya School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu Panimalar Engineering College Computer Science and Engineering. SRM institute of Science and Technology Ramapuram Department of CSE Easwari Engineering College

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

Software-defined networking (SDN) introduces a novel networking paradigm by decoupling control logic from forwarding operations, resulting in improved network resource management and administration efficiency. However, centralized network design in SDN gives rise to significant security challenges, notably denial-of-service (DoS) attacks. Attackers exploit SDN’s lack of effective message-verification mechanisms to launch DoS attacks by falsifying source address information. In response, this study proposes an innovative approach to internet of Things (IoT) security leveraging software-based networks and collaborative learning. One key strategy involves partitioning the network domain into smaller subdomains, each with its own controller, facilitating the exchange of security rules among subdomains. However, this topology necessitates routing every packet through the subnet’s control node. To continually monitor network traffic data and detect attacks, each controller node employs an integrated learning model. This model combines statistical insights from data streams with artificial neural networks and the Extreme Gradient Boosting Algorithm to anticipate potential attacks. Additionally, the ICOA model selects relevant characteristics for analysis. Through comprehensive performance evaluation, including empirical values, the ensemble model demonstrates superior performance compared to existing approaches. Furthermore, the study compares various models and methodologies, affirming the efficacy of the proposed strategy in accurately identifying distributed Denial-of-Service (DDoS) attacks in SDNs, thereby presenting a groundbreaking approach to SDN security.

关键词： Telecommunication traffic Computer architecture Denial-of-service attack Boosting Data models Topology Security

来源：评论

学校读者我要写书评

暂无评论

Utilizing the Gaode Open API for Evaluating Fire- Fighting Facility Planning

Utilizing the Gaode Open API for Evaluating Fire- Fighting F...

引用

Cloud computing, Big Data Applications and Software Engineering (CBASE), international conference on

作者： Bing Han Junjun Fan Jing Wang Yunfei Ding College of Horticulture Jinling Institute of Technology Nanjing China School of Government Nanjing University Nanjing China

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

Big data has been widely used in urban planning and architecture in recent years. However, data collecting techniques limit its broader use. As a result, a lot of work has been done to precisely identify and address urban problems through the mining of legally accessible open-source internet data, which has progressively gained popularity among urban scholars. In light of this, using Nanjing as an example, this study uses the Gaode OPEN API to build urban real-time traffic circles and assess the layout of firefighting facilities. In order to extract the average vehicle speed of all roads within a certain time frame and to automatically collect real-time traffic data in the study region, a batch processing model is first developed based on the Gaode OPEN API. It was discovered that the speed causes Nanjing City to be divided into multiple different zones. After that, a case study is carried out to build an urban real-time traffic circle based on the current firefighting facilities using the Python programming language and Arcgis software. After further analysis, it is found that the current planning for firefighting facilities exhibits a notable regional difference between the urban centre and the suburbs. Traffic speed, station density, and road network density all influence the service coverage area of fire stations. This study offers a comprehensive approach for gathering and analysing Gaode data, mining its spatiotemporal properties, and using it in planning evaluation procedures. This strategy highlights the benefits of streaming data features and distributed big data processing, efficiently uses the real-time nature of big data in emergency facility planning, and is expected to expand ideas for data collection.

关键词： Roads Urban planning distributed databases Real-time systems Software Planning Spatiotemporal phenomena Data mining Software engineering Python

来源：评论

学校读者我要写书评

暂无评论

SPEAKER AGE RECOGNITION BASED ON ISOLATED WOrdS BY USING SVM

SPEAKER AGE RECOGNITION BASED ON ISOLATED WORDS BY USING SVM

引用

2014 IEEE 3rd international conference on Cloud computing and Intelligence Systems

作者： Mengdi Yue Ling Chen Jie Zhang Hong Liu School of Electronic and Information Engineering University of Science and Technology Engineering Lab on Intelligent Perception for Internet of Things(ELIP) Shenzhen Graduate School of Peking University Engineering Lab on Intelligent Perception for Internet of Things(ELIP) The Key Laboratory of Machine PerceptionPeking University

Speaker age recognition is an essential technique in automation speech recognition based on the speech wavform parameters in speaker's ***,there are several challenges in speaker age recognition,such as innate differences in speaker's voice,subjective classification fuzzy,*** issue of speaker age based on isolated words is proposed in this paper,including support vector machine(SVM),picking up Mel frequency cepstrum coefficient(MFCC) characteristics of isolated words to distinguish the speaker's *** voicebox of this paper includes 4507 isolated word *** results show that the recognition rate based on isolated word speech can reach 72.93%.Through the experiment towards SVM classifier,we could find that the performance is improved without normalization for MFCC.

关键词： Isolated words Mel frequency cepstrum coefficients Age recognition Support vector machine

来源：评论

学校读者我要写书评

暂无评论

Analyzer for Heterogeneous Peer Server Nodes with ADCD Technique for Load Diversion

Analyzer for Heterogeneous Peer Server Nodes with ADCD Techn...

引用

Communication, computing and Industry 4.0 (C2I4), international conference on

作者： V.S. Prakash Vennila J Shiva Kumar B. N Shriidhar P J Department of Computer Science Kristu Jayanti College Bengaluru Karnataka India Department of statistics Kristu Jayanti College Bengaluru Karnataka India Department of Mathematics CMR Institute of Technology Bengaluru Karnataka India Department of Computer Science Engineering VMKV Engineering College Salem Tamil Nadu India

ISBN: (数字)9781665474979

ISBN: (纸本)9781665474986

Peer-to-peer distributed computer architecture are taken into consideration in order to distribute computer assets like storage, comfortable, and CPU cycles openly deprived of consuming a middle scheme or a central server. It can be difficult to Upkeep of load balancing on diverse peer-to-peer networks, and various previous research have provided state balancing algorithms for the demand aspect of load balance. For effective load balancing in dispersed heterogeneous peer networks, the prior work developed Processing Heterogeneous Data using Time - Peer Nodes. Using the Dynamic Time Warping (DTW) technique, load-demand balancing factors for peer servers are determined to a certain degree. The prior work solely discussed the peer node's liveliness in the heterogeneous network. In this work, we will provide the subsequent load-demand element generated as of DTW, peer server giving out cycle requirements are recognized utilizing Appropriation of Duty Cycle Data(ADCD) Technique in order to improve the previous study. In its active state, peer node servers examine their processing cycle needs and distribute data to other nodes in accordance with their duty cycles. If there is a load imbalance, peer node servers are used to distribute the load using a node collection policy created on ADCD abundant demonstration? Performance of the proposed Diverse cycle of a peer node server analyzer with an existing time variant utilizing DCPS-ADCD & NSS and the ADCD approach Using data from diverse peer networks that have been taken from major internet service providers, a P2P network that uses the Dynamic Time Warping algorithm is experimentally assessed. The efficiency is calculated based on the duty cycle count, energy usage, and load.

关键词： Knowledge engineering Heuristic algorithms Simulation Web and internet services Load management Heterogeneous networks Peer-to-peer computing

来源：评论

学校读者我要写书评

暂无评论

Advancing IoT Security through Federated Learning: A Comprehensive Approach

Advancing IoT Security through Federated Learning: A Compreh...

引用

Applied Artificial Intelligence and computing (ICAAIC), international conference on

作者： Shiva Mehta Meenu Khurana Ayush Dogra Shanmugasundaram Hariharan Centre for Research Impact and Outcome Chitkara University Rajpura Punjab India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science and Engineering Vardhaman College of Engineering Hyderabad India

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

IoT devices have changed into one of the mainstays in areas like houses, industry and education, resulting in a level of convenience and efficiency that has never been achieved before. Even though the most important advantage of the distributed network is raising the level of security, the problem of security vulnerabilities with the extended networks remains. This paper is devoted to a novel strategy of Federated Learning (FL) that could become an applied solution for enhancing the safety of the IoT. Therefore, based on its decentralized knowledge process, FL allows IoT devices to cooperate in achieving common purposes without endangering data pri vacy. The paper uses this thinking method to deal with scalability, model personalization, and non-IID data that aren’t IID distributing, suggesting solutions through model aggregation techniques or Artificial Intelligence (AI). Experimental evidence highlights that FL is very useful in enhancing IoT security irrespective of the diversity of its applications. To this end, residents of smart homes experienced a 17% increase in detecting the anomalies through the setting up of FL. This situation was replicated in the industrial internet of Things, where the false positive rates were reduced from 20% to 5%, thus improving the system’s efficiency. Furthermore, in the FL context in healthcare IoT ecosystems, this blazes a trail for privacy-preserving data analytics, preserving patient confidentiality and systematic profiling of noteworthy health trends. These findings thus demonstrate that FL is a feasible way of dealing with the security challenges of IoT scalable, promptly and in a manner that maintains user privacy. The article takes part in a conversation about ways to strengthen the security of IoT networks. Such a framework is based on the computational power of IoT devices. It allows us to detect and prevent threats in time. Nonetheless, it urges extensive R&D attempts to be introduced to develop better security solutio

关键词： Privacy Federated learning Scalability Ecosystems Safety internet of Things Security

来源：评论

学校读者我要写书评

暂无评论

BINAURAL SOUND LOCALIZATION BASED ON TIME-DELAY COMPENSATION AND SPATIAL GRID MATCHING

BINAURAL SOUND LOCALIZATION BASED ON TIME-DELAY COMPENSATION...

引用

2014 IEEE 3rd international conference on Cloud computing and Intelligence Systems

作者： Baolong Zhao Zhuo Fu Jie Zhang Yuezhao Chen Runwei Ding Shenzhen National Engineering Laboratory of Digital Television Co. Ltd. Engineering Lab on Intelligent Perception for Internet of Things(ELIP) Shenzhen Graduate School of Peking University

Binaural source localization is a popular technique in various applications,such as hearing aids,mobile robot,video conference,***,robust binaural cues estimate and suitable localization strategy are always limiting its *** this paper,a new algorithm for binaural sound source localization is presented,which is a two-layer *** the first layer,a spectral weighting generalized cross correlation-phase transformation(GCC-PHAT) method is presented for robust time-delay estimation,by which the probabilistic azimuths of sound source are *** the second layer,an improved algorithm is introduced,which is named Compensated Interaural Intensity Difference(CUD).Based on the probabilistic azimuth localization results and CUD features,spatial grid matching(SGM) is presented to provide a Bayesian model for localizing azimuth and *** with three other algorithms,experimental results show that the proposed method has a robust result even in noisy environments.

关键词： Sound source localization,Compensated interaural intensity difference,Spatial grid matching

来源：评论

学校读者我要写书评

暂无评论

ROBUST HAND TRACKING WITH POSTURE RECOGNITION VIA ONLINE LEARNING

ROBUST HAND TRACKING WITH POSTURE RECOGNITION VIA ONLINE LEA...

引用

2014 IEEE 3rd international conference on Cloud computing and Intelligence Systems

作者： Huasong Huang Yulong Zhou Pengjin Chen Runwei Ding Shenzhen National Engineering Laboratory of Digital Television Co. Ltd. Engineering Lab on Intelligent Perception for Internet of Things(ELIP) Shenzhen Graduate School of PekingUniversity

Robust hand tracking is a great challenge due to human hand's small size and drastic appearance ***,machine learning especially online learning methods have shown their promising ability in object *** paper successfully achieved hand tracking under a lately popular online learning framework named Tracking-Learning-Detection(TLD)by a win-win thought that hand tracking and posture recognition can benefit from each ***,the object model is extended in order to import posture recognition which is done without extra recognition *** turn,the introducing of hand postures enhance hand tracking since the tracker is adaptive to different hand *** last,skin color is sufficiently applied in every module(tracking,learning and detection) of TLD further improving the speed and accuracy of *** show that the proposed method works well on hand tracking with the additional ability to recognize some given hand postures under various difficulties.

关键词： Hand tracking TLD Online 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40页 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：