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

30,444 篇 会议
296 篇 期刊文献
40 册 图书

馆藏范围

30,780 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
- 15,166 篇 计算机科学与技术...
- 6,501 篇 信息与通信工程
- 6,261 篇 软件工程
- 5,558 篇 电气工程
- 2,799 篇 控制科学与工程
- 1,088 篇 动力工程及工程热...
- 972 篇 机械工程
- 939 篇 仪器科学与技术
- 840 篇 电子科学与技术（可...
- 424 篇 测绘科学与技术
- 391 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
3,231 篇 理学
- 1,844 篇 数学
- 588 篇 系统科学
- 542 篇 物理学
- 443 篇 统计学（可授理学、...
- 413 篇 生物学
- 234 篇 化学
2,664 篇 管理学
- 2,072 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

4,968 篇 wireless sensor ...
3,276 篇 distributed comp...
1,701 篇 sensor systems
1,122 篇 protocols
1,051 篇 distributed comp...
1,044 篇 monitoring
1,010 篇 computer archite...
976 篇 cloud computing
961 篇 computer network...
911 篇 computer science
884 篇 distributed data...
834 篇 sensors
825 篇 computational mo...
819 篇 wireless communi...
796 篇 robot sensing sy...
659 篇 application soft...
629 篇 routing
568 篇 sensor phenomena...
564 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...
20 篇 state key labora...
19 篇 georgia state un...
19 篇 hong kong univ s...
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 rinner bernhard
16 篇 liu ling
14 篇 zhang lei
14 篇 stankovic john a...
14 篇 xhafa fatos

语言

30,388 篇 英文
280 篇 其他
115 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 30780 条记录，以下是1381-1390 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：

A Robust Framework for Fixing The Vulnerability of Compressed distributed Learning 26

A Robust Framework for Fixing The Vulnerability of Compresse...

引用

26th international conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Chen, Yueyao Wang, Beilun Zhang, Yan Kuang, Jingyu Southeast University School of Computer Science and Engineering Nanjing211102 China

ISBN: (纸本)9798350331684

Nowadays, as a prevailing paradigm for large-scale machine learning, distributed learning has been faced with two challenges, communication bottleneck and limited robustness. For the communication challenge, compression is widely-used as a solution. For the robustness challenge, some robust defence methods have been proposed. However, previous works that simultaneously consider these two challenges are limited. Through an experiment on the w8a dataset, we found that compressed distributed learning with rand-K is vulnerable to poisoning attacks. Therefore, in this paper, we propose a robust compressed distributed framework for distributed learning settings. Experimental evaluations on a9a and w8a datasets have shown the effectiveness of our proposed framework, which markedly decreases the average optimality gap from 1.47E -2 and 2.15E -2 to 3.98E -4 and 4.33E -4 respectively. © 2023 ieee.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of Military Security Surveillance Applications Using Wireless sensor Networks 1

Analysis of Military Security Surveillance Applications Usin...

引用

2023 1st DMIHER international conference on Artificial Intelligence in Education and Industry 4.0, IDICAIEI 2023

作者： Singla, Chaitanya Gill, Rupali Srivastava, Durgesh Hooda, Susheela Singh, Janpreet Institute of Engineering and Technology Chitkara University Punjab India School of Computer Science and Engineering Lovely Professional University Punjab India

ISBN: (纸本)9798350338423

Wireless sensor Networks are a type of device that converts any of the physical quantity to an understandable, and observable quantity. sensors are lightweight and distributed in large numbers to monitor the type of system and environment around them. Wireless sensor Networks are deployed in many areas like agriculture, military security surveillance, animal husbandry and tracking, smart surroundings and buildings, health sciences of patient monitoring and care, air pressure temperature around us, noise levels, and many others. This paper tells various executions and uses of WSNs with military surveillance and security systems. © 2023 ieee.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

A Review on SPR Based PCF Refractometric sensor

A Review on SPR Based PCF Refractometric Sensor

引用

2024 international conference on Integrated Circuits, Communication, and computing systems, ICIC3S 2024

作者： Tyagi, Ayush Mishra, Anurag Tiwari, Avisha Chaudhary, Anubhav Singh, Shivam Bhatia, Kamal ABES Engineering college Electronics and communication Engineering Ghaziabad India ABES Engineering College Electronics and communication Engineering Noida Ghaziabad India

ISBN: (纸本)9798350364088

Many research institutions expressed interest in photonic crystal fibers (PCFs) due to their potential features. Samples of liquids or gases can be placed into PCF's air holes. This makes it possible for constrained light and sensing samples to interact in a well-controlled manner, opening up new possibilities for sensing applications. Depending on the parameter being monitored, physical and biological detectors are the two categories into which PCF applications in sensing domains fall. Physical sensors measure factors such as refractive index (RI), displacement, pressure, temperature, and electric field. In contrast, chemical and biological substances can be detected using biochemical sensors. An essential part of biological sensors is the evaluation of the chemical RI. Chemical sensors are sometimes called biochemical sensors because of their near resemblance to biosensors. Overall, this article delves into the capabilities of surface plasmon resonance (SPR) based PCF sensors to identify biological and chemical components. It also explores numerous strategies aimed at augmenting their sensing efficacy. © 2024 ieee.

关键词： Surface plasmon resonance

来源：评论

学校读者我要写书评

暂无评论

TADA: A Toolkit for Approximate distributed Agreement 23rd

TADA: A Toolkit for Approximate Distributed Agreement

引用

23rd IFIP WG 6.1 international conference on distributed Applications and Interoperable systems (DAIS) Held as Part of the 18th international Federated conference on distributed computing Techniques (DisCoTec)

作者： da Conceicao, Eduardo Lourenco Alonso, Ana Nunes Oliveira, Rui Carlos Pereira, Jose Orlando Univ Minho Braga Portugal INESC TEC Braga Portugal

ISBN: (纸本)9783031352591;9783031352607

Approximate agreement has long been relegated to the sidelines compared to exact consensus, with its most notable application being clock synchronisation. Other proposed applications stemming from control theory target multi-agent consensus, namely for sensor stabilisation, coordination in robotics, and trust estimation. Several proposals for approximate agreement follow the Mean Subsequence Reduce approach, simply applying different functions at each phase. However, taking clock synchronisation as an example, applications do not fit neatly into the MSR model: Instead they require adapting the algorithms' internals. Our contribution is two-fold. First, we identify additional configuration points, establishing a more general template of MSR approximate agreement algorithms. We then show how this allows us to implement not only generic algorithms but also those tailored for specific purposes (clock synchronisation). Second, we propose a toolkit for making approximate agreement practical, providing classical implementations as well as allow these to be configured for specific purposes. We validate the implementation with classical algorithms and clock synchronisation.

关键词： approximate agreement distributed systems primitives practical toolkit clock synchronisation

来源：评论

学校读者我要写书评

暂无评论

Ingenious Waste Management: Implementing Machine Learning in Waste Segregation 6

Ingenious Waste Management: Implementing Machine Learning in...

引用

6th ieee international conference on Emerging Smart computing and Informatics, ESCI 2024

作者： Asha, V. Nithya, B. Govindaraj, M. Brunda, T.M. Hiremath, Ashwini Jayaprakash, B. New Horizon College of Engineering Bengaluru India

ISBN: (纸本)9798350306613

Waste management is a pressing global issue, and the need for efficient waste separation processes is becoming increasingly important. Incorporating Machine Learning techniques with waste separation has yielded promising results and revolutionized the waste separation process. However, this research paper highlights the gaps that exist in the understanding and efficacy of machine learning for waste separation. This study provides an overview of state-of-the-art techniques for waste separation using machine learning, including the use of computer vision, sensor technology, and neural networks. This paper portrays case studies with empirical data from various waste management establishments to demonstrate the potential advantages of machine learning for recycling and waste classifying. Although progress has been made, this article highlights some significant gaps in our knowledge. These gaps include the need for standardized datasets, optimization of algorithms for real-world scenarios, the impact of technology on the environment, and the socio-economic aspects of integrating automation into waste management. The essential and most important tasks of intelligent mechanisms in the digital age is waste separation. Segregation of waste is necessary to apply proper disposal and waste management strategies. The existing systems use drones to identify waste by using deep learning, image processing, GPS, and GSM approaches, locating and notifying the authorities about them. The improvement made is in the analysis and utilize multi-object detection and picture classification to accomplish trash segregation. Waste management may be effectively accomplished with higher accuracy through Machine Learning practices which therefore considerably lowers labor expenses. © 2024 ieee.

关键词： Image Detection Machine Learning Prediction sensor Waste Segregation

来源：评论

学校读者我要写书评

暂无评论

Implementation of Yolo-Based Object Detection and sensor Integration Model for Visually Challenged Person

Implementation of Yolo-Based Object Detection and Sensor Int...

引用

2024 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Kamarunisha, M. Jayasri, K. Sharin, S. Priyadharshini, M. Anusuya, T. Malathi, R. Dhanalakshmi Srinivasan College of Arts and Science for Women Autonomous Department of Computer Applications Perambalur India

ISBN: (纸本)9798331543617

It is suggested that visually impaired individuals use an assistive device to receive automatic direction and navigation. The gadget may provide obstacle-free navigation and use real-time image processing to detect impediments. The goal of the strategy is to maximise information flow by completing all activities in real-time and gathering all the information regarding path impediments. The suggested navigation stick is an inexpensive item, obstacle, and obstacle identifier. For safety and navigation, the suggested assistance system for the blind makes use of cutting-edge technology such as tilt and ultrasonic sensors, as well as YOLO(YouOnly Look Once) object recognition. It updates its location via GPS, haptic feedback, and real-time object detection. The user interface is independent and accessible through non-visual means. The suggested work focuses on a multi-label method for detecting items in indoor and outdoor settings utilising vision technology. It improves accuracy and cuts down on recognition time by using classification and clustering techniques. © 2024 ieee.

关键词： Ultrasonic sensors

来源：评论

学校读者我要写书评

暂无评论

Integration of Fuzzy Model with the IOT Model to Achieve Better Health(Medical) Care Design System 4

Integration of Fuzzy Model with the IOT Model to Achieve Bet...

引用

4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Raman, Ramakrishnan Kumar, Vikram Pillai, Biju G. Verma, Apurv Rastogi, Shailesh Meenakshi, R. India Srv Media Pvt. Limited India Sri Balaji University Faculty of Management It & Business Analytics Pune India Parul Institute of Technology Parul University Computer Science and Engineering Faculty of Engineering and Technology India India Computer Science and Engineering Chennai Institute of Technology India

ISBN: (纸本)9798350360165

The Internet of Things is a pervasive network that utilizes sensor-equipped devices by the billions to observe the real-world environment. The Internet of Things technology presents considerable potential for the development of various industries, including medical treatment, where it can decrease the impact that the combination of old age and chronic ailments puts on health care systems. This paper tends to put forward a secure hierarchical routing approach, so-called Fuzzy Logic-based secure Hierarchical Routing using the Firefly Algorithm, to mitigate the issued challenges in IoT technologies for healthcare. A Fuzzy Trust Framework, an Inter-cluster Routing Framework, and a Firefly Algorithm-based Clustered Framework are the three main components of the proposed FSRF. The Fuzzy Security Framework identifies the trustworthiness of IoT devices in the network to resist routing attacks. The Firefly Algorithm-based Colony Framework selects IoT devices as cluster head nodes using the fitness function that measures the trust level, residual power hop count, connectivity radius, and centrality. FSRF goes further to apply an on-demand routing technique to ensure efficient data transmission. Simulation analysis compared with the current protocol was presented that showed that FSRF significantly improves the network lifetime, and energy efficiency, but security is the issue that needs further concern to improve the system. © 2024 ieee.

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Data Mining Framework for Discovering and Clustering Phenotypes of Atypical Diabetic Lung 3

Data Mining Framework for Discovering and Clustering Phenoty...

引用

3rd international conference on Smart Technologies and systems for Next Generation computing, ICSTSN 2024

作者： Lekshmy, S. Sridhar, K.P. Roberts, Michaelraj Kingston Karpagam Academy of Higher Education Coimbatore India Karpagam Academy of Higher Education Department of Electronics and Communication Engineering Centre for Interdisciplinary Research Coimbatore India Sri Eshwar College of Engineering Centre for Advances in Signal Processing and Wireless Sensor Networks Department of ECE India

ISBN: (纸本)9798350391565

The global diabetes epidemic has exposed significant clinical variability in diabetic patients, including phenotypes that defy accepted characteristics. Atypical diabetic phenotypes in lungs are sifting through numerous data sets to establish connections and identify patterns to use data analysis to solve a certain issue. This article presents the Data Mining Framework based on the Atypical Diabetes Prediction Model (DMFADPM), built on the Data Mining Framework to identify and group the characteristics of A.D. in lungs. Data Mining Framework is used to solve the main problems of improving the prediction model's accuracy and enabling the model's adaptation to multiple datasets. The exclusion and inclusion processes are the two components of the preprocessing steps that form the foundation of the data mining technique. The experimental analysis of the proposed method has obtained an accuracy of 98.9%, prediction ratio of 0.22%, gain ratio of 95%, information gain of 92%. © 2024 ieee.

关键词： Atypical Diabetes Data Mining Diabetic Complications lungs Prediction Model

来源：评论

学校读者我要写书评

暂无评论

Utilizing Consensus Mechanisms in Blockchain and IoT Edge Networks to Enhance Healthcare System

Utilizing Consensus Mechanisms in Blockchain and IoT Edge Ne...

引用

2024 international conference on Emerging Innovations and Advanced computing, INNOCOMP 2024

作者： Singh, Puneeta Sagar, Shrddha Galgotias University Greater Noida India

ISBN: (纸本)9798350376470

The mathematical processes of sharing for sensors and block nodes are as follows: prime number p and base g, and i. The sensor chooses Private Key A and provides Node with Public Key A. A = ga mod p is the formula used. Node chooses the private key b and provides the sensor with the public key b. The sensor calculates the shared key. Calculate shared key with Ksensor = Ba mod p v- Nodes. The transaction's signature is produced by HMA C when Kbc = Ksensor is used. By identifying outliers, HMAC and after the validation of signatures. The BIoT design was theoretically demonstrated to be one of the greatest options in the most recent trend, but actual testing is necessary for the research to be successful. The tests below were conducted using the DEVS toolbox by RED network to examine the relationship between sensors and actuators. Three characteristics were tested: latency, network utilization, and energy *** has advanced the digitalization of several industries, including healthcare, manufacturing, education, shipping, and retail systems. High data consumption occurs connection between the IoT application network and its network of sensors. As a result, issues with cloud architecture, privacy, security, excessive latency, and low data integrity arise from the operation of simulated IoT devices. While the BC-IoT paradigm includes many elements that foster trust, confidentiality, and data protection, a standalone IoT system still has several disadvantages. The most portable blockchain consensus technique was created for Internet of Things devices. The Rivest-Shamir-Adleman (RSA) algorithm is used to negotiate keys with blockchain nodes and sensors. These nodes collaborate to create Optimal Asymmetric Encryption Padding (OAEP) for sensor-aware transactions. Not just facilitating key sharing but also enabling. © 2024 ieee.

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Dynamic Data Driven Applications systems, DDDAS 2022

4th International Conference on Dynamic Data Driven Applicat...

引用

4th international conference on Dynamic Data Driven Applications systems, DDDAS 2022

ISBN: (纸本)9783031526695

The proceedings contain 42 papers. The special focus in this conference is on Dynamic Data Driven Applications systems. The topics include: Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognition;DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks;DDDAS-Based Learning for Edge computing at 5G and Beyond 5G;monitoring and Secure Communications for Small Modular Reactors;Data Augmentation of High-Rate Dynamic Testing via a Physics-Informed GAN Approach;unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction;passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning;deep Learning Approach for Data and computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications;SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery;generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis;Multimodal IR and RF Based sensor System for Real-Time Human Target Detection, Identification, and Geolocation;learning Interacting Dynamic systems with Neural Ordinary Differential Equations;Relational Active Feature Elicitation for DDDAS;explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins;transmission Censoring and Information Fusion for Communication-Efficient distributed Nonlinear Filtering;distributed Estimation of the Pelagic Scattering Layer Using a Buoyancy Controlled Robotic System;towards a Data-Driven Bilinear Koopman Operator for Controlled Nonlinear systems and Sensitivity Analysis;tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach;dynamic Data-Driven Digital Twins for Blockchain systems;Adversarial Forecasting Through Adversarial Risk Analysis Within a DDDAS Framework;essential Properties of a Multimodal Hypersonic Object Detection and Tracking System;power Grid Resilience: Data Gaps for Da

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 << < 135 136 137 138 139 140 141 142 143 144 > >>

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：