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

6,059 篇 会议
69 篇 期刊文献
42 册 图书

馆藏范围

6,170 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,602 篇 工学
- 2,536 篇 计算机科学与技术...
- 1,799 篇 软件工程
- 1,413 篇 信息与通信工程
- 982 篇 电气工程
- 422 篇 控制科学与工程
- 397 篇 电子科学与技术（可...
- 367 篇 光学工程
- 345 篇 生物工程
- 285 篇 仪器科学与技术
- 285 篇 生物医学工程（可授...
- 232 篇 机械工程
- 148 篇 安全科学与工程
- 138 篇 交通运输工程
- 114 篇 网络空间安全
- 113 篇 化学工程与技术
- 105 篇 材料科学与工程（可...
- 99 篇 动力工程及工程热...
- 81 篇 建筑学
1,477 篇 理学
- 685 篇 数学
- 536 篇 物理学
- 370 篇 生物学
- 229 篇 系统科学
- 214 篇 统计学（可授理学、...
- 117 篇 化学
534 篇 管理学
- 321 篇 管理科学与工程(可...
- 256 篇 图书情报与档案管...
- 127 篇 工商管理
345 篇 医学
- 325 篇 临床医学
- 162 篇 基础医学(可授医学...
- 108 篇 药学(可授医学、理...
98 篇 法学
60 篇 农学
48 篇 经济学
39 篇 教育学
27 篇 军事学
16 篇 文学
5 篇 艺术学

主题

327 篇 feature extracti...
298 篇 internet of thin...
257 篇 real-time system...
189 篇 image segmentati...
186 篇 internet
166 篇 signal processin...
165 篇 image processing
158 篇 accuracy
145 篇 image edge detec...
144 篇 deep learning
139 篇 signal processin...
129 篇 training
128 篇 cameras
121 篇 image coding
116 篇 image color anal...
105 篇 visualization
104 篇 image retrieval
96 篇 robustness
95 篇 computational mo...
90 篇 image recognitio...

机构

11 篇 school of comput...
9 篇 faculty of infor...
8 篇 school of cyber ...
8 篇 school of electr...
8 篇 beijing universi...
8 篇 state key labora...
7 篇 school of inform...
7 篇 school of inform...
7 篇 college of elect...
7 篇 institute of sig...
7 篇 harbin institute...
7 篇 college of infor...
7 篇 school of electr...
6 篇 university of sc...
6 篇 school of inform...
6 篇 school of electr...
6 篇 chaoyang univ te...
6 篇 university of el...
6 篇 wuhan university...
6 篇 department of in...

作者

15 篇 dipanda albert
15 篇 yetongnon kokou
13 篇 yoshitaka sakura...
13 篇 tsuruta setsuo
13 篇 sakurai yoshitak...
13 篇 fan zhun
12 篇 setsuo tsuruta
11 篇 chbeir richard
11 篇 li li
11 篇 wang wei
9 篇 zhang yan
9 篇 lee chin-feng
8 篇 zhang lei
8 篇 jing wang
8 篇 wang hao
7 篇 zhu guijie
7 篇 kinshuk
7 篇 jeon gwanggil
7 篇 ahmad tohari
7 篇 shen jau-ji

语言

5,951 篇 英文
199 篇 其他
35 篇 中文
1 篇 土耳其文

检索条件"任意字段=International Conference on Signal-Image Technology and Internet-Based Systems SITIS"

共 6170 条记录，以下是331-340 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：

Efficient Classification of Bird Species Using Photographic images: A MobileViT based Approach 3

Efficient Classification of Bird Species Using Photographic ...

引用

3rd international conference on Artificial Intelligence For internet of Things, AIIoT 2024

作者： Polisetty, Venkata Ramana Murthy Chokkalingam, Sp Chennai601103 India Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai601103 India

ISBN: (纸本)9798350372120

In the quest to enhance biodiversity conservation and support ecological monitoring, the identification of bird species through automatic recognition systems has emerged as a vital tool. This study introduces a novel approach employing the Mobile Vision Transformer model, capitalizing on its efficiency in handling complex visual data across a comprehensive dataset encompassing 525 bird species. MobileViT integrates the advantages of Convolutional Neural Networks (CNNs) with Transformer technology, surpassing typical deep learning models in terms of feature extraction and contextual comprehension abilities. Incorporating advanced data augmentation methods has bolstered the dataset's variability, ensuring the model's preparedness for a wide spectrum of imaging scenarios. With a direct and impressive outcome, the model achieved a 97.5% accuracy rate in species identification. The adoption of MobileViT promises a scalable and potent solution for bird species recognition within ornithological research, marking a forward leap in employing machine learning for environmental conservation. © 2024 IEEE.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

Node Layout Algorithm based Environmental Monitoring System for Industrial IoT 4

Node Layout Algorithm Based Environmental Monitoring System ...

引用

4th international conference on Electronic Information Engineering and Computer Communication, EIECC 2024

作者： Ren, Xinyi Li, Kangle Liu, Yangsen Fei, Junshu He, An Zhuge, Xiying Chengdu University of Technology School of Computer and Network Security Sichuan Chengdu China

ISBN: (纸本)9798331534622

As the internet of Things (IoT) technology continues to revolutionize, modern industrial production systems are undergoing profound changes. Current production methods require the expansion of production space to accommodate more equipment, raw materials and workers. The traditional monitoring systems mostly use a simple sensor monitoring method. This kind of monitoring method has the problems of too much monitoring data which is not easy to manage, and the system can not respond in time after the disaster occurs. based on this situation, this paper proposes a node layout algorithm based industrial IoT environment monitoring system. The system utilizes Zigbee wireless communication technology to construct the network. The master station uses the Loongson 2K1000LA development board as the display and calculation terminal to interact with the cloud platform. The sub-station uses Loongson 1C102 development board as the main control chip to monitor the environmental data. The cloud platform carries out image recognition and sends peripherals control commands. Compared with the traditional monitoring system, this system reduces the peripheral response delay by more than 1.5 seconds, improves the monitoring efficiency by 33%, The peripheral response time difference is reduced by 1.499 seconds, an increase of 61.3%.and facilitates managers to formulate effective security prevention strategies. © 2024 IEEE.

关键词： Zigbee

来源：评论

学校读者我要写书评

暂无评论

Wind Turbine Fault Diagnosis based on Gramian Angle and Federated Learning 4

Wind Turbine Fault Diagnosis Based on Gramian Angle and Fede...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Yuan, Lu Chen, Dawei Shanghai DianJi University Shanghai China

ISBN: (纸本)9798350366914

To improve the efficiency and accuracy of wind turbine fault detection while maintaining data confidentiality, we propose a convolutional neural network model that integrates Gram's Angle Summation Field (GAF) with a federated learning algorithm. Initially, the one-dimensional time series signal is converted into a two-dimensional image using GAF technology, and a Convolutional Neural Networks model is developed for feature extraction. To address the issue of uneven client data distribution and the tendency to get stuck in local optima, local drift variables are introduced to monitor the disparity between the learned local model and the global model, thereby enhancing fault identification accuracy in diverse data sets. Experimental findings demonstrate that the proposed model algorithm outperforms other algorithms significantly, showcasing its superiority and effectiveness. This study serves as a valuable addition to contemporary wind turbine fault diagnosis technology. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Operation state monitoring method of double column center fracture horizontal rotary disconnector based on laser point cloud 3

Operation state monitoring method of double column center fr...

引用

3rd international conference on Energy internet and Power systems

作者： Lin, Hongdong Li, Fupeng Xie, Xingsheng Jiang, Yuhuan Zhongshan Power Supply Bur Guangdong Power Grid C Zhongshan 528400 Guangdong Peoples R China

A technique utilizing laser point cloud data has been developed for the surveillance of the operational status of a double-column center fracture horizontal rotary disconnector switch. The method includes an action monitoring model for isolating switches to identify and segment point cloud data of isolating switch conducting arm. The model consists of a local feature extraction module, a point cloud feature dimension attention module, a classification module, and a segmentation module. The segmentation module realized the point cloud segmentation function by Interpolate and Unit Pointnet network. The classification module implements the point cloud classification function through a point net layer Pointnet and a fully connected layer (FC). Ultimately, the status of the disconnector's operation is determined by analyzing the differences in the point cloud vectors of the conductive arm between successive frames.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Radio Frequency Fingerprint Identification in Low SNR based on SCUNet

Radio Frequency Fingerprint Identification in Low SNR Based ...

引用

IEEE/CIC international conference on Communications in China (ICCC)

作者： Zhang, Yali Liu, Nan Pan, Zhiwen You, Xiaohu Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China

ISBN: (纸本)9798350378412

Radio Frequency Fingerprint (RFF) identification is a non-password authentication technique, which have been researched in improving the security of the internet of Things (IoT) widely. For traditional access authentication technology, invaders can intercept or steal users' private information by impersonating their identities, which poses a great security risk. Therefore, the unique features of RFF have an important role in securing the network. However, existing methods for RFF identification in IoT systems may be ineffective in low signal-to-Noise Ratio (SNR) will result in mobile devices being unrecognized or misrecognized, leading to security vulnerabilities. Therefore, we propose an RFF identification scheme designed for a low SNR environment, using the Swin-Conv-UNet (SCUNet) for RFF identification. The effect of noise on RFF is reduced by denoising the Wigner-Ville Distribution (WVD) time-frequency images. In addition, we choose to conduct experiments on the WiFi signal (WiSig) Dataset with 10 different transmitters and the recognition of different devices is realized by ResNet18. The results show that the proposed method has significant improvement in the SNR range from -6 dB to 0 dB and achieves 91.5% accuracy at SNR = -4 dB.

关键词： radio frequency fingerprint identification deep learning low SNR Swin-Conv-UNet

来源：评论

学校读者我要写书评

暂无评论

CSI Fingerprint and GCN based Indoor Localization Using Graph Structures Fusion 23

CSI Fingerprint and GCN Based Indoor Localization Using Grap...

引用

23rd IEEE international conference on Communication technology, ICCT 2023

作者： Fan, Shuting Yan, Jun College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9798350325959

Since the channel state information (CSI) can provide a fine-grained description of signal propagation process, in this paper, a new CSI fingerprint and graph convolutional network (GCN) based indoor localization algorithm is proposed. First, the amplitude and phase information of CSI measurement is extracted for amplitude and phase based CSI gray image construction, respectively. And then, the corresponding CSI RGB images are obtained by the image render techniques. Next, a pixel value comparison based rule is used to form the graph structure of each channel of the amplitude and phase based CSI image. The front-end fusion is used to form the final graph structure. At last, the GCN model is used to training the graph structure. Some Experiments are carried out to verify the performance of the proposed algorithm. © 2023 IEEE.

关键词： Channel State Information Deep Learning Front-end Fusion Graph Convolutional Network Indoor localization

来源：评论

学校读者我要写书评

暂无评论

2023 6th international conference on signal Processing and Information Security, ICSPIS 2023

2023 6th International Conference on Signal Processing and I...

引用

6th international conference on signal Processing and Information Security, ICSPIS 2023

ISBN: (纸本)9798350329599

The proceedings contain 44 papers. The topics discussed include: blockchain-enabled DNS: enhancing security and mitigating attacks in domain name systems;deep learning-based human tracking, face mask and social distance monitoring, systems using YOLOv5;IMU-based human activity recognition using machine learning and deep learning models;enhancing brain tumor aid diagnosis with augmented reality rendering-based 6 DoF object pose estimation;secure key exchange scheme and blockchain-oriented data protection in the internet of vehicles;an intelligent edge-deployable indoor air quality monitoring and activity recognition approach;DiffT: a novel approach for privacy preserving data analytics;using data integration platform for effective location-aware service development platform;hybrid whale-mud-ring optimization for precise color skin cancer image segmentation;and an extensive evaluation of plant disease detection using diverse machine learning approaches.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Course recommendation model based on Knowledge Graph Embedding

Course recommendation model based on Knowledge Graph Embeddi...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Ismail Chetoui Essaid El Bachari Mohamed El Adnani Dept of Computer Science Cadi Ayyad Univerity Marrakech Morocco

The use of graphs as a method of storing data has begun to rise significantly in recent years, due to the new way of representing data in graphs. This is leveraged by the structure of graphs that facilitate modeling interactions between real-world entities. With the rapid development of technologies such as machine learning and deep learning, the digitalization of education has entered the era with artificial intelligence as the main feature. As an important part of artificial intelligence technology, knowledge graph as a format of data storing provides possibilities for smart education and promotes the innovation and development of smart education. In this context, we present in this communication a model that we built to facilitate reaching the appropriate lesson for each learner among a large group of lessons in an eLearning graph, this model is practically divided into two parts, the first in which we sort the learners by defining the profile of each of them, which will facilitate their classification into groups, and in the second part, we connect each learner with his appropriate path to achieve the desired lesson, by building a nodal path through sequential prediction until reaching the target lesson, relying mainly on embedding graph models.

关键词： Deep learning Technological innovation Computer aided instruction Electronic learning Databases Knowledge graphs Predictive models

来源：评论

学校读者我要写书评

暂无评论

A Secure Watermarking based image Integrity Verification in IoMT 4

A Secure Watermarking Based Image Integrity Verification in ...

引用

4th IEEE international conference on Computing, Communication, and Intelligent systems, ICCCIS 2023

作者： Sulfi, Saeeda Neena Raj, N.R. College of Engineering Trivandrum Department of Computer Science and Engineering Thiruvananthapuram India Mar Baselios College of Engineering and Technology Department of Computer Science and Engineering Thiruvananthapuram India

ISBN: (纸本)9798350306118

The internet of Medical Things in healthcare necessitates a secure way to transfer medical images due to the rise of telemedicine. Security breaches in public networks lead to falsification of medical images and further incorrect diagnoses. To address this issue, we propose a multiwatermarking scheme in which logo is embedded in region of interest and text data is concealed in regions of non-interest for providing authentication and integrity verification. Fractal encoding technique is used to ensure the secure transmission of watermarked medical image. Experimental results demonstrate that proposed scheme ensures high visual quality, lossless recovery of text data and high security. The proposed scheme provides better watermarked image quality as compared with state-of-The-Art schemes. © 2023 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

An Advanced IoT and GPS-GSM based Real-Time Automated Data Monitoring Robot with image Processing and Live Streaming for Human Life and Land Mine Detection systems

An Advanced IoT and GPS-GSM Based Real-Time Automated Data M...

引用

2024 international conference on Computer, Electrical and Communication Engineering, ICCECE 2024

作者： Islam, Md. Muhaiminul Akter, Farzana Hossain, Md. Rakib Faruk Hossain, Md. Mahedy Hasan, S.M. Yakin Srizon, Md. Azmain Rajshahi University of Engineering & Technology Department of Electronics & Telecommunication Engineering Rajshahi6204 Bangladesh Department of Electrical & Electronic Engineering Rajshahi6204 Bangladesh Department of Computer Science & Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350386479

An era of automation is currently being experienced, where everything is becoming more automated day by day. Automation technology has been applied everywhere, from smaller to larger scales. Moreover, real-time communication between complicated human-machine interfaces is one of the difficulties of the fourth industrial revolution. That is why robots are essential in this field because they improve human lifestyles, lighten workloads, and carry out several dangerous tasks. This research presents a groundbreaking advancement in the form of an automated real-time IoT-based data monitoring robot in an era characterized by the proliferation of automation and the internet of Things (IoT). This ground-breaking system combines GPS-GSM functionality, human life detection, land mine detection, image processing, and live streaming in an efficient manner. The robot utilizes its IoT framework and a variety of embedded sensors and technology to gather, process, and transmit realtime data from its surroundings. Notably, it supports disaster response, military operations, and safety measures by performing the vital tasks of detecting human life and land mines. The ability to categorize and process visual data is improved by the image processing feature, and situational awareness is provided by live streaming © 2024 IEEE.

关键词： Global positioning system

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 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：