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

30,489 篇 会议
293 篇 期刊文献
40 册 图书

馆藏范围

30,822 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

18,595 篇 工学
- 15,167 篇 计算机科学与技术...
- 6,502 篇 信息与通信工程
- 6,259 篇 软件工程
- 5,557 篇 电气工程
- 2,798 篇 控制科学与工程
- 1,088 篇 动力工程及工程热...
- 971 篇 机械工程
- 938 篇 仪器科学与技术
- 839 篇 电子科学与技术（可...
- 424 篇 测绘科学与技术
- 392 篇 网络空间安全
- 355 篇 生物工程
- 291 篇 安全科学与工程
- 274 篇 交通运输工程
- 232 篇 生物医学工程（可授...
- 227 篇 建筑学
- 200 篇 土木工程
- 200 篇 石油与天然气工程
3,230 篇 理学
- 1,844 篇 数学
- 588 篇 系统科学
- 541 篇 物理学
- 443 篇 统计学（可授理学、...
- 413 篇 生物学
- 234 篇 化学
2,661 篇 管理学
- 2,069 篇 管理科学与工程(可...
- 825 篇 图书情报与档案管...
- 744 篇 工商管理
417 篇 医学
- 345 篇 临床医学
- 180 篇 基础医学(可授医学...
240 篇 法学
188 篇 经济学
- 187 篇 应用经济学
110 篇 农学
74 篇 军事学
53 篇 教育学
48 篇 文学
13 篇 艺术学
1 篇 历史学

主题

4,975 篇 wireless sensor ...
3,284 篇 distributed comp...
1,705 篇 sensor systems
1,124 篇 protocols
1,051 篇 distributed comp...
1,049 篇 monitoring
1,015 篇 computer archite...
978 篇 cloud computing
960 篇 computer network...
911 篇 computer science
889 篇 distributed data...
837 篇 sensors
831 篇 computational mo...
822 篇 wireless communi...
794 篇 robot sensing sy...
660 篇 application soft...
633 篇 routing
573 篇 sensor phenomena...
567 篇 internet of thin...
561 篇 peer to peer com...

机构

40 篇 department of co...
33 篇 shanghai jiao to...
30 篇 department of co...
30 篇 ieee
29 篇 distributed syst...
28 篇 school of comput...
27 篇 tsinghua univers...
26 篇 school of comput...
24 篇 suny stony brook...
22 篇 nanjing univ sta...
21 篇 georgia inst tec...
19 篇 georgia state un...
19 篇 hong kong univ s...
19 篇 state key labora...
18 篇 school of comput...
18 篇 institute of par...
17 篇 shanghai jiao to...
17 篇 georgia inst tec...
17 篇 univ chinese aca...
16 篇 tsinghua univ de...

作者

88 篇 dustdar schahram
52 篇 rajkumar buyya
35 篇 hong-linh truong
28 篇 zomaya albert y.
27 篇 klaus wehrle
27 篇 wehrle klaus
27 篇 wu jie
26 篇 liu yang
25 篇 yang yang
22 篇 wang lei
20 篇 fortino giancarl...
19 篇 duerr frank
18 篇 lei wang
18 篇 wang guojun
17 篇 li li
16 篇 liu ling
15 篇 rinner bernhard
14 篇 zhang lei
14 篇 stankovic john a...
14 篇 xhafa fatos

语言

29,798 篇 英文
912 篇 其他
117 篇 中文
3 篇 法文
2 篇 俄文
1 篇 葡萄牙文
1 篇 土耳其文

检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30822 条记录，以下是4271-4280 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：

DNA-based Secret Sharing and Hiding in Dispersed computing

DNA-based Secret Sharing and Hiding in Dispersed Computing

引用

ieee international conference on Software Reliability Engineering Workshops (ISSRE Wksp)

作者： Marek R. Ogiela Urszula Ogiela AGH University of Science and Technology Cryptography and Cognitive Informatics Laboratory Krakow Poland

ISBN: (数字)9781665476799

ISBN: (纸本)9781665476805

In this paper will be described a new security protocol for secret sharing and hiding, which use selected personal features. Such technique allows to create human-oriented personalized security protocols dedicated for particular users. Proposed method may be applied in dispersed computing systems, where secret data should be divided into particular number of parts.

关键词： Steganography conferences Software algorithms distributed databases DNA Software reliability Nitrogen

来源：评论

学校读者我要写书评

暂无评论

Portable Outdoor Air Quality Monitoring Using A Wireless sensor Network (WSN) 4

Portable Outdoor Air Quality Monitoring Using A Wireless Sen...

引用

4th ieee international conference on computing and Information Sciences, ICCIS 2021

作者： Aziz, Azrina Abd Drieberg, Micheal Halil, Nur Hazwani Ahmad Zahiruddin, Muhamad Amir Chandra, Indra Azwan, Mohamed Razif, Mohamed Universiti Teknologi PETRONAS Bandar Seri Iskandar Department of Electrical and Electronics Engineering Perak Malaysia Telkom University Engineering Physics School of Electrical Engineering Indonesia

ISBN: (纸本)9781665494410

Air pollution is a major environmental issue that is harmful to the living organisms and climate. The increasing level of air pollution contributed by the release of dangerous air particles are seriously degrading visibility and causing a respiratory problem to many people. Installation of air quality monitoring system in critical areas to determine the trends of ambient air quality for prevention and corrective measures is necessary. Some existing systems are costly, require high maintenance and are not widely available in many areas. This paper presents a portable and light-weight air quality monitoring system using a wireless sensor network (WSN) to monitor the air quality in the outdoor environment and provide a remote access. Our proposed system monitors the major air pollutants which are carbon monoxide (CO), particulate matters with diameter less than 2.5 micron (PM2.5), and carbon dioxide (CO2) and records the temperature and humidity readings. LoRa technology is used to achieve the long-range data transmission and the transmitted data are then stored in the cloud server for future use and easy access. The air pollution index (API) is used as an indicator of the air quality to provide the status of the air quality. The finding of this paper indicates that the air in the rural area is less polluted than the air in the urban area, which is mainly contributed by the rapid economic development, vehicle exhaust fumes, and chemical discharge. © 2021 ieee.

关键词： Carbon monoxide

来源：评论

学校读者我要写书评

暂无评论

Intrusion Detection for Marine Meteorological sensor Network

Intrusion Detection for Marine Meteorological Sensor Network

引用

ieee international conference on Big Data and Cloud computing (BdCloud)

作者： Xin Su Guifu Zhang Minxue Zhang Baoliu Ye Hongyan Xing College of IOT Engineering Hohai University Changzhou Jiangsu China Information Department Hohai University Nanjing Jiangsu China Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation Nanjing University of Information Science and Technology Nanjing China Jiangsu Key Laboratory of Meteorological Detection and Information Processing Nanjing University of Information Science and Technology Nanjing China

The rapid development of intelligent devices and wireless communication has greatly promoted the intelligence of the maritime Internet of Things (MIoT) in recent years, and the marine meteorological sensor network (MMSN) is an essential part of MIoT, providing accurate meteorological data for MIoT services. However, the frequent information interaction between the device and the external world also causes information leakage risks for MMSN. Intrusion detection technology based on deep learning is an effective defensive mechanism. Thus, we propose a lightweight one-dimensional convolutional neural network (LCNN) intrusion detection model to adapt to the MMSN environment characteristics and device heterogeneity. In addition, an improved supervised adversarial autoencoder (ISAAE) is proposed for synthesizing samples to address the problem that minority class attack samples are difficult to collect and detect. Finally, the simulation experimental results on the NSL-KDD dataset verify the effectiveness of the proposed method.

关键词： Training Wireless communication Adaptation models Convolution Computational modeling Simulation Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

A 65nm 21.9pJ/Sa Pixel to PWM Conversion SoC with Time-domain Body Communication for ULP Body-Worn Video sensor Nodes with distributed Real-Time Inference

A 65nm 21.9pJ/Sa Pixel to PWM Conversion SoC with Time-domai...

引用

Custom Integrated Circuits conference (CICC)

作者： Gourab Barik Baibhab Chatterjee Gaurav Kumar K Shreyas Sen Purdue University USA University of Florida USA

ISBN: (数字)9798350394061

ISBN: (纸本)9798350394078

With the growing presence of body-worn cameras, head-mounted devices, and smart glasses in the era of Internet of Bodies (loB) and Internet of Things (loT), the demand for low-power, smaller form-factor nodes for video sensing, computing, and communication with an ability for long term usage and easy integration on the body have been steadily increasing. As shown in Figure 1, conventional architectures employ front-end ADCs to convert all the sensed analog samples to digital bits (high data volume) and then compress it using DSP blocks before communication. However, such implementations consume high conversion energy [1] and generate huge data volumes that need significant energy for communicating over wireless modalities, like Wi-Fi (which consumes 50-400mW for HD video at 30fps), Bluetooth cannot yet transfer HD video), etc. Recent non-IC based video sensing solutions [2] uses pulse-width modulated backscatter system, where the analog sampled values are converted to pulse widths before modulation, using COTS components and backscatter communication, which cannot support higher bandwidth. Although it eliminates the need for front-end ADC, the solution has bigger form factor and can function with only smaller frame sizes (112 x 112 at 13 fps), while consuming significantly higher power (2.36 mW), which makes it unsuitable for high-speed video transmission around the human body. In recent years, Human Body Communication (HBC) has emerged as a promising low-power alternative for wireless communication, providing easy integration with the body and keeping the data secured close to the body. These sensor nodes are also required to get real time inference from the data received from the sensors for proper data analysis. This inferencing workload can be transferred to an On-Body processing hub which can be of higher power and larger form factor, hence, transferring the high-power processing from the sensors to the hub, enabling distributed processing of the signal. We pre

关键词： Wireless communication Streaming media Cameras Real-time systems Energy efficiency sensors Space exploration

来源：评论

学校读者我要写书评

暂无评论

ENORMOuS: An environment-based autoscaling system.

ENORMOuS: An environment-based autoscaling system.

引用

ieee international conference on systems, Man, and Cybernetics (SMC)

作者： Gil-Azevedo, Renato Farias, Claudio Miceli Univ Fed Rio de Janeiro PPGI IM NCE Rio De Janeiro Brazil

This paper describes an auto scale approach driven by the use of environmental metrics to scale applications. On high granularity application environments, every application impacts directly in other applications. The... 详细信息

ISBN: (纸本)9781728185262

关键词： Enterprise Architecture & Engineering Enterprise Information systems distributed Intelligent systems Cloud computing Auto-Scalling

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Prediction Method Based on MODWT-EMD for Time Series in Wireless sensor Networks 16

A Hybrid Prediction Method Based on MODWT-EMD for Time Serie...

引用

16th ieee international conference on Intelligent systems and Knowledge Engineering, ISKE 2021

作者： Wang, Zhongmin Jia, Jingwen Gao, Cong Chen, Yanping Xia, Hong Xi'an University of Posts and Telecommunications Xi'an Key Laboratory of Big Data and Intelligent Computing Xi'an China Xi'an University of Posts and Telecommunications School of Computer Science Technology Xi'an China Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an China

ISBN: (纸本)9781665405539

Time series is the main form of sensor data. Time series prediction is conducive to reduce the energy consumption of sensor nodes and increase the service life. As time cost and computation cost of the existing hybrid prediction methods for time series are not good, this paper proposes a hybrid prediction method based on MODWT-EMD for time series. Firstly, the original time series is decomposed into multiple frequency components by Maximal Overlapping Discrete Wavelet Transform (MODWT). Secondly, the multiple frequency components are decomposed successively by Empirical Mode Decomposition (EMD) to obtain IMF components and residuals. IMFs and residuals contain the feature information of time series. Then, the importance of the extracted feature information is scored and sorted by random forest. We select feature information with a higher score. Finally, the selected feature information is input into Bi-GRU for training. We predicted the original time series by the trained Bi-GRU and obtained the prediction results. The experimental results show that the method proposed in this paper can predict the time series effectively. © 2021 ieee.

关键词： Empirical mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Personalized User Profiles-based Insider Threat Detection for distributed File System

Personalized User Profiles-based Insider Threat Detection fo...

引用

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

作者： Wu Xin Qingni Shen Ke Feng Yutang Xia Zhonghai Wu Zhenghao Lin Center for Data Science Academy for Advanced Interdisciplinary Studies Peking University Beijing China School of Software and Microelectronics Peking University Beijing China School of Economics Peking University Beijing China Questrom School of Business College of Arts & Sciences Boston University Boston Massachusetts United States

In recent years, data security incidents caused by insider threats in distributed file systems have attracted the attention of academia and industry. The most common way to detect insider threats is based on user profiles. Through analysis, we realize that based on existing user profiles are not efficient enough, and there are many false positives when a stable user profile has not yet been formed. In this work, we propose personalized user profiles and design an insider threat detection framework, which can intelligently detect insider threats for securing distributed file systems in real-time. To generate personalized user profiles, we come up with a time window-based clustering algorithm and a weighted kernel density estimation algorithm. Compared with non-personalized user profiles, both the Recall and Precision of insider threat detection based on personalized user profiles have been improved, resulting in their harmonic mean F1 increased to 96.52%. Meanwhile, to reduce the false positives of insider threat detection, we put forward operation recommendations based on user similarity to predict new operations that users will produce in the future, which can reduce the false positive rate (FPR). The FPR is reduced to 1.54% and the false positive identification rate (FPIR) is as high as 92.62%. Furthermore, to mitigate the risks caused by inaccurate authorization for users, we present user tags based on operation content and permission. The experimental results show that our proposed framework can detect insider threats more effectively and precisely, with lower FPR and high FPIR.

关键词： Authorization Measurement Industries File systems Data security Clustering algorithms Estimation

来源：评论

学校读者我要写书评

暂无评论

Resource-Aware Split Federated Learning for Fall Detection in the Metaverse

Resource-Aware Split Federated Learning for Fall Detection i...

引用

ieee international conference on Wireless and Mobile computing, Networking And Communications (WiMob)

作者： Mohamad Wazzeh Ahmad Hammoud Mohsen Guizani Azzam Mourad Hadi Otrok Chamseddine Talhi Zbigniew Dziong Chang-Dong Wang Department of Software and IT Engineering Ecole de Technologie Supérieure Montreal Canada Department of CSM Artificial Intelligence and Cyber Systems Research Center Lebanese American University Beirut Lebanon Department of ML Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi UAE Department of Electrical Engineering Ecole de Technologie Supérieure Montreal Canada Department of Computer Science KU 6G Research Center Khalifa University Abu Dhabi UAE Department of Computer Science Center of Cyber-Physical Systems (C2PS) Khalifa University Abu Dhabi UAE School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350387445

ISBN: (纸本)9798350387452

As the Metaverse develops, it is becoming more crucial to prioritize the safety of users, especially regarding the potential risks, such as users experiencing dizziness or making incorrect movements that may lead to falls. With more virtual environments becoming increasingly available and immersive, detecting and preventing falls within the Metaverse is required. Given the constrained resources of wearable sensors, precise fall prediction models are critical to efficiently analyzing data gathered by these devices. Traditional fall detection systems require centralizing data collection, which raises privacy concerns over the collected data. Resource-aware Split Federated Learning (RSFL) enables collaboration among multiple devices within the Metaverse to train a fall detection model, all while preserving individual data privacy. The approach also leverages parallelism in Federated Learning (FL) and Split Learning (SL) by decomposing training tasks between clients and servers. Moreover, we devise an efficient client selection mechanism to ensure timely training and model convergence performance. We implemented our architecture and assessed its performance using a sensory dataset. The evaluation results with the baseline demonstrate our architecture's superiority in terms of convergence time. Our approach mitigates data heterogeneity and privacy concerns, creating secure and efficient fall detection systems for the Metaverse.

关键词： Training Wireless communication Data privacy Wireless sensor networks Metaverse Federated learning Computer architecture Data models Fall detection Convergence

来源：评论

学校读者我要写书评

暂无评论

Sniffing Prevention in LoRa Network Using Combination of Advanced Encryption Standard (AES) and Message Authentication Code (MAC)

Sniffing Prevention in LoRa Network Using Combination of Adv...

引用

2021 international conference Advancement in Data Science, E-learning and Information systems, ICADEIS 2021

作者： Windya, Putri Apriyanti Suryani, Vera Wardana, Aulia Arif Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9781665437097

One of the characteristics of IoT devices is related to their limited resources. These devices are often referred to as IoT-constrained devices. The limited resources of IoT devices becomes a challenge in choosing an appropriate security method. To overcome this problem, an appropriate security method in the use of AES algorithms and MAC is deemed important. The variants of AES algorithm used in this research included AES128 and AES256. Meanwhile, the MAC algorithm used was Hash-based Message Authentication Code (HMAC). This paper presents how to prevent the sniffing activity on wireless sensor network - especially in LoRa networks due to the increasing use of LoRa, as well as the development of IoT devices. Based on the results of the security analysis that has been done, this method was found to be able to guarantee the aspects of confidentiality, authentication, and integrity. In this paper, overhead analysis on IoT constrained devices class 0 and class 2 was also performed with the results showing that this method was acceptable to be implemented on IoT constrained devices class 0 and class 2. © 2021 ieee.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

4th international Symposium on Devices, Circuits and systems, ISDCS 2021 - conference Proceedings

4th International Symposium on Devices, Circuits and Systems...

引用

4th international Symposium on Devices, Circuits and systems, ISDCS 2021

ISBN: (纸本)9781665414784

The proceedings contain 32 papers. The topics discussed include: performance evaluation of unrolled cipher based glitch PUF implemented on Virtex-7;optimal sizing, placement and performance analysis of DSTATCOM with improved controller without current sensors;electrochemical impedance sensor for non-invasive living cell monitoring toward CMOS cell culture monitoring platform;SEAMBA: a semi-approximate multiplier using block-based approach and rounding;switching correction of direct torque control method in order to improve the electrical vehicle performance quality;PUF based hardware security: a review;and ROS on ARM processor embedded with FPGA for improvement of robotic computing.

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500页 << < 424 425 426 427 428 429 430 431 432 433 > >>

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：