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

89 篇 期刊文献
76 篇 会议

馆藏范围

165 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

122 篇 工学
- 93 篇 计算机科学与技术...
- 81 篇 软件工程
- 29 篇 信息与通信工程
- 19 篇 控制科学与工程
- 18 篇 电气工程
- 15 篇 电子科学与技术（可...
- 13 篇 生物工程
- 7 篇 机械工程
- 7 篇 仪器科学与技术
- 7 篇 动力工程及工程热...
- 7 篇 化学工程与技术
- 6 篇 力学（可授工学、理...
- 6 篇 光学工程
- 5 篇 生物医学工程（可授...
- 4 篇 安全科学与工程
- 4 篇 网络空间安全
- 3 篇 建筑学
78 篇 理学
- 52 篇 数学
- 13 篇 物理学
- 13 篇 生物学
- 12 篇 系统科学
- 7 篇 化学
- 4 篇 统计学（可授理学、...
33 篇 管理学
- 19 篇 管理科学与工程(可...
- 16 篇 图书情报与档案管...
- 11 篇 工商管理
7 篇 医学
- 6 篇 临床医学
- 4 篇 基础医学(可授医学...
4 篇 法学
- 3 篇 社会学
4 篇 农学
- 3 篇 作物学
2 篇 军事学
2 篇 艺术学
1 篇 经济学
1 篇 教育学

主题

7 篇 semantics
6 篇 image segmentati...
5 篇 deep learning
4 篇 internet of thin...
4 篇 deep neural netw...
3 篇 reinforcement le...
3 篇 distillation
3 篇 latent semantic ...
3 篇 neural networks
3 篇 feature extracti...
3 篇 machine learning
3 篇 feature selectio...
3 篇 cryptography
2 篇 ultrasonic imagi...
2 篇 semantic segment...
2 篇 generative adver...
2 篇 acoustics
2 篇 data mining
2 篇 local and parall...
2 篇 contrastive lear...

机构

45 篇 hunan provincial...
30 篇 hunan provincial...
22 篇 college of compu...
9 篇 college of infor...
6 篇 hunan normal uni...
6 篇 college of liber...
5 篇 xiangjiang labor...
5 篇 school of inform...
5 篇 hunan normal uni...
5 篇 hunan key labora...
4 篇 changsha social ...
4 篇 hengyang normal ...
4 篇 school of comput...
4 篇 school of electr...
4 篇 school of comput...
4 篇 hunan provincial...
4 篇 key laboratory o...
4 篇 department of co...
4 篇 school of comput...
4 篇 changchun instit...

作者

14 篇 jiang feibo
14 篇 dong li
12 篇 li lang
11 篇 wang kezhi
11 篇 dai jianhua
10 篇 yang kun
10 篇 pan cunhua
8 篇 gao xieping
5 篇 zou yi
5 篇 peng yubo
5 篇 xieping gao
5 篇 li qiuping
5 篇 jiao ge
5 篇 yunqing huang
4 篇 zou juan
4 篇 yang shengxiang
4 篇 liu yunlong
4 篇 zhao huihuang
4 篇 zhao junxia
4 篇 huang jingui

语言

152 篇 英文
10 篇 其他
3 篇 中文

检索条件"机构=Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing"

共 165 条记录，以下是71-80 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：

Double time slot RFID anti-collision algorithm based on gray code 5

Double time slot RFID anti-collision algorithm based on gray...

引用

5th International Conference on information Science and Cloud computing, ISCC 2017

作者： Deng, Hongwei Li, Lang Wang, Hui School of Computer Science and Technology Hengyang Normal University School of Information Science and Engineering Central South University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hunan 421002 China

To solve the radio frequency identification problem, an anti-collision algorithm based on the Gray code (BSGC) was developed. The proposed algorithm reduces the effort required to search for tag prefixes in accordance with Gray code regulations and enhances the identification speed through efficient division and branching of the collision tags. The results of simulation and subsequent analysis of the proposed algorithm confirm that it effectively reduces the number of collisions and transmission delays, enhances the throughput rate, and increases the tag identification efficiency. © Copyright owned by the author(s).

关键词： Radio frequency identification (RFID)

来源：评论

学校读者我要写书评

暂无评论

Open-vocabulary 3D Semantic Understanding via Affinity Neural Radiance Fields 6

Open-vocabulary 3D Semantic Understanding via Affinity Neura...

引用

6th International Conference on Next Generation Data-Driven Networks, NGDN 2024

作者： Fan, Yujie Luo, Huan Computer and Data Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China

ISBN: (纸本)9798350388374

Three-dimensional semantic understanding using only several multi-view images can largely reduce the communication burden on the network. In addition, while point clouds are extensively studied for 3D scene understanding, utilization of multi-view image data offers rich visual details and texture information. However, challenges persist in lifting 2D semantic features to 3D space and leveraging language for segmentation. Inspired by recent advancements, this paper proposes a method that combines CLIP features and SAM masks to create a feature field capable of segmenting objects via natural language text across 2D multi-view and 3D Gaussian splatting. It offers a promising function for extracting 3D assets for game engines and the metaverse. Our method involves mask generation from video frames, extracting physical scales via RGB Nerf with masks, and organizing hierarchical information for semantic comprehension. In the training process, affinity features maintain scale properties and guide CLIP feature generation with auto weights blending for semantic robustness. A straightforward 3D splatting CLIP feature approach and canonical text methodology enhance query robustness across 2D multi-view and 3D splatting through relevance score calculation based on text CLIP features for inference. Experimental results demonstrate promising improvements in semantic understanding of 3D scenes. © 2024 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

A Novel Multi-Agent Deep Reinforcement Learning Approach

A Novel Multi-Agent Deep Reinforcement Learning Approach

引用

2020 International Conference on Computer Big Data and Artificial Intelligence, ICCBDAI 2020

作者： Yin, Dong Zhao, Zhe Dai, Yinglong Long, Han College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China College of Liberal Arts and Sciences National University of Defense Technology Changsha410073 China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha410081 China

Borrowing the power of deep neural networks, deep reinforcement learning achieved big success in games, and it becomes a popular method to solve the sequential decision-making problems. However, the success is still restricted to single agent training environment. Multi-agent reinforcement learning still is a challenge problem. Although some multi-agent deep reinforcement learning methods have been proposed, they can only perform well when the number of agents is very limited. In this paper, by analyzing the dynamic changing observation space and action space of multi-agent environment, we propose a novel multi-agent deep RL method that compress the joint observation space and action space as the time goes on. The proposed method is potential for a large number of agents cooperative or competitive tasks. © Published under licence by IOP Publishing Ltd.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Exploiting Multi-Decision and Deep Refinement for Ultrasound Image Segmentation

Exploiting Multi-Decision and Deep Refinement for Ultrasound...

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Wenjing Liu Xuanya Li Kai Hu Xieping Gao Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China Baidu Inc Beijing China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha China

In this paper, we propose a novel convolutional neural network (MDR-Net) for ultrasound image segmentation by exploiting multi-decision and deep refinement of the target. Our MDR-Net consists of two main parts, i.e., a multi-decision module (MDM) and a deep refinement module (DRM). Specifically, the MDM effectively addresses the issue of inconspicuous target regions in ultrasound images by combining multi-scale features and multi-receptive field self-attention to enhance the discriminative representation of features and diagnose feature points multiple times. In addition, to alleviate the problem of blurred boundaries and severe speckle noise, the DRM progressively fuses multi-scale features and makes the fused features interact with higher-level features to refine the target details step by step. Finally, we evaluate the proposed method on two publicly available datasets, namely BUSI and UDIAT. We achieve a Dice of 0.8265 and 0.8827 on the two datasets, which are at least 2% and 1.24% higher than other state-of-the-art ultrasound image segmentation methods.

关键词： Deep learning Image segmentation Visualization Ultrasonic imaging Fuses Neural networks Speckle

来源：评论

学校读者我要写书评

暂无评论

Modeling human travel and social contact with multi-layer networks for epidemic prediction 9

Modeling human travel and social contact with multi-layer ne...

引用

9th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2021

作者： Duan, Wei Wang, Tao Wang, Peng Ju, Rusheng Wang, Xiao Yang, Tian College of Systems Engineering National University of Defense Technology Changsha City China State Key Laboratry of Complex Systems Management and Control Institute of Automation Chinese Academy of Sciences Beijing City China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha City China

ISBN: (纸本)9780738132020

It is a key issue to reasonably represent human travel and social contact in epidemic models. Various measures were applied to develop the models of human mobility and contact in a long range or a short range, such as Brown movement, random walks, spatial networks, gravity models, contact networks. We proposed a method of representing human daily movement and social contact by using multi-layer networks with temporal edge weights. We combined bipartite networks with social networks to describe human daily trip and social contact, respectively. Temporal edge weights of multi-layer networks were employed to denote the propensity of individual movement and contact. We also verified our models and parameters by incorporating human daily travel and contact regularities, as well as comparing experimental results with human behavior statistical laws. At last, we applied a Chinese university campus as a case study to investigate students' daily travel and social contact, and studied the transmission and control strategies of COVID-19 virus. We found stricter control strategies are needed to mitigate the transmission of COVID-19 virus in a university. Once a patient case emerges in a university, it is better to close the campus and quarantine all students. Partial control strategies such as quarantining a part of students and buildings cannot achieve a great effect of mitigating the transmission of COVID-19 virus. Our works are beneficial for the practitioners in the field of computational epidemiology. © 2021 IEEE.

关键词： Viruses

来源：评论

学校读者我要写书评

暂无评论

The Optimal Implementation of Khudra Lightweight Block Cipher 9th

The Optimal Implementation of Khudra Lightweight Block Ciphe...

引用

9th International Conference on Computer Engineering and Networks, CENet2019

作者： Huang, Xiantong Li, Lang Guo, Ying College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

In this paper, we discuss the area and speed balance optimization of Khudra lightweight block cipher. There are three major ingredients. Firstly, because of the whole structure of the Khudra block cipher and its F-function is based on a Feistel structure, we make the main module that directly calls the F-function in the hardware optimization implementation. Secondly, through the clock control, the plaintext can be XORed with the key and the round constant under certain conditions. At the same time, the three rounds of the F-function are merged into one module, whose F-function module contains the F-function of the left and right branches of the algorithm. Thus, three rounds of operations can be completed with only one S-box, which can effectively reduce the number of registers and the number of iterations to increase the encryption and decryption rate. Finally, because of the particularity of key expansion in Khudra, we separately calculated the round key and stored its results in the register, which can effectively save the time of key expansion. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

Analysis and Design of Image Encryption Algorithms Based on Interlaced Chaos 10th

Analysis and Design of Image Encryption Algorithms Based on ...

引用

10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Li, Kangman Li, Qiuping College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

For chaotic encryption algorithm, the algorithm of generating chaotic sequence is complex, and the data is float, which directly affects the speed of encryption. In this paper, an interlaced chaotic encryption algorithm is proposed, In this algorithm, the pixel interval is encrypted by chaotic sequence, and the chaotic sequences of other pixels are obtained by XOR the chaotic values of the front and back points, Experiments show that the algorithm can encrypt and decrypt images quickly and has good effect. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

A Novel AES Random Mask Scheme Against Correlation Power Analysis 9th

A Novel AES Random Mask Scheme Against Correlation Power Ana...

引用

9th International Conference on Computer Engineering and Networks, CENet2019

作者： Jiao, Ge Li, Lang Zou, Yi College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

With the wide application of smart card, people’s demand for the security of smart card is increasing. The Advanced Encryption Standard (AES) algorithm in smart card itself is safe enough, but the encryption algorithm is still threatened by side-channel attacks due to time, power consumption, electromagnetic radiation, and other information leakage during operation. Aiming at the shortcomings of existing mask schemes in security, a smart card AES encryption NARMS mask against side-channel attack is proposed. This scheme calculates the random mask according to the random hamming weight value and random integer, selects three rounds of random selection and NARMS random mask strategy for protection in the first, second, and ninth rounds of AES algorithm, optimizes and improves the design of the random mask and the overall process of mask protection. The mask scheme designed in this paper is comprehensively compared with ordinary AES algorithm, fixed value mask scheme and rotating S-box masking scheme (RSM). Experiments show that this scheme can effectively resist the first- and second-order correlation power analysis (CPA) attacks and has high efficiency, thus ensuring the key security of AES algorithm and privacy security of smart card application. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Smart cards

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Handwritten Digit Recognition Based on K-Nearest Neighbor Algorithm 10th

Design and Implementation of Handwritten Digit Recognition B...

引用

10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Wang, Ying Liu, Qingyun Sun, Yaqi Zhang, Feng Zhu, Yining College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

In this paper, a handwritten digit recognition system based on K-nearest neighbor algorithm is designed and implemented. By analyzing the application principle and steps of k-nearest neighbor algorithm in machine learning classifier, we design handwritten digit recognition in Python language. In order to improve the accuracy and accuracy of handwritten character recognition, the method of smooth denoising and character segmentation methods are used to preprocess the data, extract the structure and statistical features. The experiments had shown that the accuracy of the algorithm for handwritten character recognition can reach over 97%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Gender Identification for Coloring Black and White Portrait with cGan 10th

Gender Identification for Coloring Black and White Portrait ...

引用

10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Liu, Qingyun Lin, Mugang Sun, Yaqi Zhang, Feng College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

This paper proposes a method to color black & white portrait images with gender recognition model and condition generation network (cGan). As a cGan model essentially, a method named pix2pix interprets image style transformation as a translation process from input pixels to target pixels. Lots of input to target image pairs should be prepared for model training for different application scenarios. When pix2pix is applied to color black & white portraits, there are obvious differences in color and saturation between portraits of different genders while the ability of gender recognition isnt owned by pix2pix in essence. Therefore, a gender recognition model is added to the network to produce more realistic and gender specific color portraits. The experiments show that our work has achieved better results than some other common methods. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Color

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17页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：