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

17 篇 会议
3 篇 期刊文献

馆藏范围

20 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14 篇 工学
- 7 篇 计算机科学与技术...
- 5 篇 软件工程
- 4 篇 光学工程
- 4 篇 信息与通信工程
- 4 篇 化学工程与技术
- 3 篇 交通运输工程
- 2 篇 材料科学与工程（可...
- 1 篇 机械工程
- 1 篇 仪器科学与技术
- 1 篇 动力工程及工程热...
- 1 篇 电子科学与技术（可...
- 1 篇 控制科学与工程
- 1 篇 土木工程
- 1 篇 生物医学工程（可授...
- 1 篇 安全科学与工程
- 1 篇 网络空间安全
9 篇 理学
- 4 篇 物理学
- 4 篇 化学
- 1 篇 数学
- 1 篇 天文学
- 1 篇 统计学（可授理学、...
3 篇 医学
- 2 篇 基础医学(可授医学...
- 2 篇 临床医学
- 2 篇 公共卫生与预防医...
- 1 篇 药学(可授医学、理...
2 篇 法学
- 1 篇 法学
- 1 篇 社会学
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 公共管理
- 1 篇 图书情报与档案管...
1 篇 艺术学

主题

2 篇 three-dimensiona...
2 篇 visibility
2 篇 named entity rec...
2 篇 feature extracti...
2 篇 extraction
1 篇 complex networks
1 篇 digital analysis
1 篇 tibetan traditio...
1 篇 four medical cod...
1 篇 intrinsic color ...
1 篇 roads
1 篇 openpose
1 篇 surface treatmen...
1 篇 dlib
1 篇 generative adver...
1 篇 filtering
1 篇 signal processin...
1 篇 microspheres
1 篇 buildings
1 篇 history

机构

4 篇 tibet university...
4 篇 tibet key labora...
4 篇 school of inform...
2 篇 key laboratory o...
2 篇 collaborative re...
2 篇 school of inform...
2 篇 xizang key labor...
2 篇 xizang key labor...
2 篇 fujian key labor...
2 篇 xizang key labor...
2 篇 department of ge...
1 篇 jiangsu key labo...
1 篇 department of ge...
1 篇 xizang key labor...
1 篇 xizang minzu uni...
1 篇 college of elect...
1 篇 tibet cyberspace...
1 篇 school of comput...
1 篇 xizang cyberspac...
1 篇 xizang key labor...

作者

3 篇 wang gencheng
2 篇 cheng wang
2 篇 pengdi huang
2 篇 gao yi
2 篇 jonathan li
2 篇 yi sun
2 篇 yi gao
2 篇 dawei zai
2 篇 hui zi
2 篇 chen yuzhen
1 篇 shi chunlei
1 篇 luo weiqun
1 篇 wen chenglu
1 篇 zhang s.
1 篇 wang cheng
1 篇 yang zhuang
1 篇 lang yan
1 篇 wang jiabao
1 篇 chenglu wen
1 篇 dinhtu truong

语言

20 篇 英文

检索条件"机构=Xizang Key Laboratory of Optical Information Processing and Visualization Technology"

共 20 条记录，以下是1-10 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 Relation Extraction Model for Enhancing Subject Features and Relational Attention 20th

A Relation Extraction Model for Enhancing Subject Features ...

引用

Proceedings of the 20th Web information Systems and Applications Conference, WISA 2023

作者： Wang, Jiabao Luo, Weiqun Yan, Xiangwei Zhang, Zijian College of Information Engineering Xizang Minzu University Shanxi Xianyang712082 China XiZang Key Laboratory of Optical Information Processing and Visualization Technology Shanxi Xianyang712082 China

ISBN: (纸本)9789819962211

In existing relation extraction methods, there are often issues such as Error propagation or insufficient attention, which limits the improvement of extraction performance. To this end, this paper proposes a relation extraction model that enhances subject features and relational attention (SFRARE). SFRARE uses the pre-trained model for word embedding, while using the LSTM neural network to enhance the semantic features of the subject to reduce the impact of error propagation on extraction performance, and uses multi-head attention mechanism to make the model pay more attention to the relation related to the subject. The experimental results of the model are better than the baseline model CasRel on two English public datasets NYT and WebNLG, and also better than the baseline model in complex contexts. Finally, all the experimental results show that the proposed model SFRARE outperforms the current mainstream models on both Chinese and English public data sets, proving that the model has certain generalization ability and alleviates the problems of error propagation and insufficient attention to relations. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Importance evaluation method for complex network nodes based on third-order K-shell 6

Importance evaluation method for complex network nodes based...

引用

6th International Conference on Computer information Science and Application technology, CISAT 2023

作者： Yang, Hanyi Wang, Gencheng School of Information Engineering Xizang Minzu University Xianyang712082 China Xizang Cyberspace Governance Research Center China Key Laboratory of Optical Information Processing and Visualization: Technology of Tibet Autonomous: Region Xianyang712082 China

ISBN: (纸本)9781510668546

The KPN algorithm refines the importance of peer nodes in K-shell to identify important nodes in complex networks, but it does not distinguish the removal order of peer nodes from the proportion weight of K-shell values, and fails to fully consider the impact of local domain characteristics of nodes. To solve the above problems, a node importance evaluation algorithm based on third-order neighborhood is presented. The algorithm assigns proportional weights to the removal order and K-shell values of nodes at the same level, and then evaluates the significance of nodes by using the influence within their third-order neighborhoods based on the three-degree separation of influence propagation. The simulation results on six real social networks using epidemic model and linear threshold model demonstrate that the method can identify key nodes in complex networks more accurately than the other six algorithms. © 2023 SPIE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

A Covert Communication Model of Ethereum Based on Smart Contracts

A Covert Communication Model of Ethereum Based on Smart Cont...

引用

2023 International Conference on Cryptography, Network Security, and Communication technology, CNSCT 2023

作者： Lang, Yan He, Lei School of Information Engineering Xizang Minzu University Shanxi Xianyang712082 China Xizang Key Laboratory of Optical Information Processing and Visualization Technology Shanxi Xianyang712082 China Xizang Network Security Governance Research Base Shanxi Xianyang712082 China

ISBN: (数字)9781510664951

ISBN: (纸本)9781510664944

To solve the problems of low hidden capacity, weak concealment and low transmission efficiency in the existing blockchain covert communication, a covert communication model of Ethereum based on smart contracts is proposed. First, the sender processes the plaintext information and the key information into a binary sequence, to get the secret information to be embedded. The sender embeds the secret information into the smart contract source code by using the space method. Secondly, the sender compiles and deploys the smart contract containing the secret information to the Ethereum network. Finally, the receiver can use the pre-shared account information and key to restore the plaintext information to the acquired smart contract through the inverse process of the embedding algorithm. Through the deployment experiment of the Ethereum test network, the results show that the model realizes covert communication based on smart contract information hiding. By analysing and comparing the existing similar models, the model further improves the hidden capacity, reduces the communication cost, has better performance concealment and security. © 2023 SPIE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

A New Image Encryption Algorithm for Color Medical Images 3

A New Image Encryption Algorithm for Color Medical Images

引用

3rd International Conference on Signal Image processing and Communication, ICSIPC 2023

作者： Jin, Danyang School of Information Engineering Xizang Minzu University Shaanxi Xianyang712082 China Key Laboratory of Optical Information Processing and Visualization Technology of Tibet Autonomous Region Shaanxi Xianyang712082 China

ISBN: (纸本)9781510670945

Recently, telemedicine diagnosis via the Internet has been widely used. The transmission of patients' private data over the network is subject to threats such as tampering, forgery and theft, and unauthorized theft and modification of others' data can cause great distress to patients and physicians. To protect the security of medical images. In this paper, a new encryption method for color medical images is proposed. The method uses 5th order orthogonal Latin square based encoding, DNA arithmetic and zigzag ordering to dislocate and diffuse the images. Its security is tested in terms of correlation coefficient, key sensitivity and noise attacks. The results show that the method has a high level of encryption for color images, can achieve lossless decryption, and outperforms existing methods. © 2023 SPIE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Intensify Perception Transformer Generative Adversarial Network for Image Super-Resolution 12th

Intensify Perception Transformer Generative Adversarial Netw...

引用

12th International Conference on Image and Graphics, ICIG 2023

作者： Chen, Yuzhen Wang, Gencheng Chen, Rong Hui, Zi Xizang Minzu University Shaanxi Xianyang712000 China Key Laboratory of Optical Information Processing and Visualization Technology of Tibet Autonomous Region Shaanxi Xianyang712000 China Xizang Cyberspace Governance Research Center Shaanxi Xianyang712000 China

ISBN: (纸本)9783031463136

Generative adversarial networks (GANs) are widely used for image super-resolution (SR) and have recently attracted increasing attention due to their potential to generate rich details. However, generators are usually based on convolutional neural networks, which lack global modeling capacity and limit the performance of the network. To address this problem, we propose a hierarchical partitioned Transformer block to extract features at different scales, which alleviates the loss of information and helps global modelling. We then design a Transformer in residual block to reconstruct more natural structural textures in SR results. Finally, we integrate the intensify perception Transformer network with an existing discriminator network to form the intensify perception Transformer generative adversarial network (IPTGAN). We conducted experiments on several benchmark datasets, RealSR dataset and PIRM self-validation dataset to verify the generalization ability of our IPTGAN. The results show that our IPTGAN exhibits better visual quality and significantly less complexity compared to several state-of-the-art GAN-based image SR methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Double embedding reversible information hiding based on chunking 3

Double embedding reversible information hiding based on chun...

引用

3rd International Conference on Computer Graphics, Image, and Virtualization, ICCGIV 2023

作者： Hui, Zi Wang, Gencheng Chen, Yuzhen Xizang Minzu University Information engineering institute Shaanxi 712082 China Xizang Minzu University Key Laboratory of Optical Information Processing and Visualization Technology Tibet Autonomous Region Shaanxi 712082 China Tibet Cyberspace Governance Research Base Shaanxi 712082 China

ISBN: (纸本)9781510671720

A reversible data hiding method based on double embedding in chunking is proposed for existing data hiding algorithms to improve the embedding capacity and generate a secret-laden image with a high visual effect. Firstly, the original image is chunked and different reversible embedding methods are applied to different parts of the sub-blocks for the secret information embedding operation. To improve the embedding capacity, the secret information continues the pre-processing operation and adopts a hierarchical embedding method to improve the utilization of each embeddable point. The original prediction method is also improved to generate a steeper error histogram with more embeddable pixel points. In addition, the use of a suitable prediction and embedding method produces a compensating reduction effect when performing double embedding, reducing the number of invalid displacements and improving the quality of the carrier image. It is experimentally verified that the proposed method outperforms some state-of-the-art RDH work with higher embedding capacity as well as lower distortion. For a standard Cameraman image, a peak signal-to-noise ratio of up to 67.11 dB can be obtained when the embedding capacity is 10000 bits. © 2023 SPIE.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

An Unbalanced Classification Model of Tibetan Medicine Journals with Improved Prompt Learning Method 3

An Unbalanced Classification Model of Tibetan Medicine Journ...

引用

3rd International Conference on Digital Society and Intelligent Systems, DSInS 2023

作者： Gao, Yi Chen, Songbin Tibet University for Nationalities Shaanxi Xianyang712082 China Tibet Key Laboratory of Optical Information Processing and Visualization Technology Shaanxi Xianyang712082 China

ISBN: (纸本)9798350331387

para>In order to solve the problem of low classification accuracy of Tibetan medicine-related journals using pre-training model under the condition of unbalanced sample size. This paper proposes an unbalanced data augmentation for prompt learning based on bert (Unbalanced Data Augmentation for Prompt Learning based on Bert) Based on the BERT model, the unbalanced Tibetan medicine journal data is sent to EDA and SimBERT to generate the balanced data, and then the prompt template is constructed to help understand the downstream tasks, so as to improve the model's extraction of journal subject features. Experiments show that the average subject classification accuracy of the model UDA-PL-BERT is 75%, the accuracy is 97%, the f1 value is 71%, and the recall rate is 60%, which is improved compared with the BiLSTM model, TextCNN model, FastText model and Transformer model. The data modes processed by this method are limited to text form, and the target task is mainly unbalanced multi-classification task of Tibetan medicine-related journal topics, and does not do other dataset classification problems. The UDA-PL-BERT proposed in this paper can effectively improve the extraction and classification performance of unbalanced subject features of Tibetan medicine-related journals. © 2023 IEEE.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Digital Analysis of Movements on Characters Based on OpenPose and Dlib from Video 3

Digital Analysis of Movements on Characters Based on OpenPos...

引用

2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021

作者： Ye, Kai Dong, Jianmin Zhang, Lijun School of Information Engineering Xizang Minzu University Shanxi China Key Lab. of Optical Information Processing and Visualization Technology of Tibet Autonomous Region Xizang Minzu University Shanxi China

In order to avoid the disadvantages of complex operation and expensive equipment for the extraction method of motion capture systems and other equipment, a method which can extract key points of characters movements was proposed based on video of Tibetan drama with OpenPose and Dlib. And, the movement trajectory and movement fluctuation amplitude which were obtained by digital analysis from characters' movement were used as indicators to provide a quantitative plan for movement essentials of Tibetan drama's performing arts. The digital analysis was implemented by tracking key points' two-dimensional coordinate data with the form of line chart and reflecting movement fluctuation amplitude with absolute difference of the same key point's two-dimensional coordinate data belonged to two frame of video. Experiments showed that this method was suitable for video and was correct and effective in the image coordinate system, which provided a reliable foundation for the digital analysis. © Published under licence by IOP Publishing Ltd.

关键词： Digital analysis Dlib key point OpenPose

来源：评论

学校读者我要写书评

暂无评论

Research on Named Entity Recognition in Tibetan Medicine Based on BERT-BiGRU-CRF Model 9

Research on Named Entity Recognition in Tibetan Medicine Bas...

引用

9th International Conference on Intelligent Computing and Signal processing, ICSP 2024

作者： Hou, Zihao Gao, Yi Fan, Miao Tibet University for Nationalities Shaanxi Xianyang712082 China Tibet Key Laboratory of Optical Information Processing and Visualization Technology Shaanxi Xianyang712082 China Collaborative Research Center for Language Education in Ethnic Minority Areas Shaanxi Xianyang712082 China

ISBN: (纸本)9798350376548

Ancient books of Tibetan medicine cover the rich history and unique theoretical system of Tibetan medicine, but it is difficult to systematize and digitize Tibetan medicine. In this paper, the BERT-BiGRU-CRF model is proposed, and the manually annotated corpus data of The Four Medical Tantras is used as the dataset to conduct entity recognition research on the text data in the field of Tibetan medicine, and ablation experiments are set up to verify the effect of each model. The experimental results show that the F1 value of the model reaches 0.8259 in the Tibetan medicine ancient book named entity recognition experiment, and the training speed is faster than that of the common BERT-BiLSTM-CRF model. © 2024 IEEE.

关键词： BERT Conditional Random Field Four Medical Codex GRU Named Entity Recognition Tibetan Medicine

来源：评论

学校读者我要写书评

暂无评论

An Unbalanced Classification Model of Tibetan Medicine Journals with Improved Prompt Learning Method

An Unbalanced Classification Model of Tibetan Medicine Journ...

引用

Digital Society and Intelligent Systems (DSInS), International Conference on

作者： Yi Gao Songbin Chen Tibet University for Nationalities Xianyang China Tibet Key Laboratory of Optical Information Processing and Visualization Technology Xianyang China

In order to solve the problem of low classification accuracy of Tibetan medicine-related journals using pre-training model under the condition of unbalanced sample size. This paper proposes an unbalanced data augmentation for prompt learning based on bert (Unbalanced Data Augmentation for Prompt Learning based on Bert) Based on the BERT model, the unbalanced Tibetan medicine journal data is sent to EDA and SimBERT to generate the balanced data, and then the prompt template is constructed to help understand the downstream tasks, so as to improve the model's extraction of journal subject features. Experiments show that the average subject classification accuracy of the model UDA-PL-BERT is 75%, the accuracy is 97%, the f1 value is 71%, and the recall rate is 60%, which is improved compared with the BiLSTM model, TextCNN model, FastText model and Transformer model. The data modes processed by this method are limited to text form, and the target task is mainly unbalanced multi-classification task of Tibetan medicine-related journal topics, and does not do other dataset classification problems. The UDA-PL-BERT proposed in this paper can effectively improve the extraction and classification performance of unbalanced subject features of Tibetan medicine-related journals.

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2页 << < 1 2 > >>

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：