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

344 篇 会议
81 篇 期刊文献

馆藏范围

425 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

232 篇 工学
- 112 篇 计算机科学与技术...
- 94 篇 软件工程
- 85 篇 生物医学工程（可授...
- 80 篇 控制科学与工程
- 70 篇 生物工程
- 45 篇 信息与通信工程
- 43 篇 光学工程
- 31 篇 机械工程
- 31 篇 仪器科学与技术
- 23 篇 化学工程与技术
- 22 篇 电气工程
- 22 篇 电子科学与技术（可...
- 14 篇 力学（可授工学、理...
- 12 篇 材料科学与工程（可...
- 11 篇 动力工程及工程热...
- 10 篇 建筑学
- 9 篇 交通运输工程
- 8 篇 土木工程
154 篇 理学
- 71 篇 生物学
- 67 篇 物理学
- 49 篇 数学
- 22 篇 化学
- 19 篇 统计学（可授理学、...
- 6 篇 系统科学
63 篇 医学
- 60 篇 临床医学
- 35 篇 基础医学(可授医学...
- 23 篇 药学(可授医学、理...
- 10 篇 公共卫生与预防医...
30 篇 管理学
- 17 篇 管理科学与工程(可...
- 15 篇 图书情报与档案管...
4 篇 农学
3 篇 法学
2 篇 经济学

主题

36 篇 feature extracti...
22 篇 electroencephalo...
19 篇 electrodes
18 篇 muscles
16 篇 electromyography
14 篇 task analysis
12 篇 training
11 篇 support vector m...
11 篇 force
11 篇 visualization
11 篇 accuracy
10 篇 cameras
10 篇 robots
9 篇 three-dimensiona...
9 篇 speech recogniti...
9 篇 convolutional ne...
8 篇 deep learning
8 篇 data mining
8 篇 brain computer i...
7 篇 robot sensing sy...

机构

79 篇 shenzhen college...
71 篇 cas key laborato...
58 篇 university of ch...
44 篇 cas key laborato...
38 篇 guangdong-hong k...
32 篇 cas key laborato...
31 篇 guangdong provin...
22 篇 the chinese univ...
20 篇 shenzhen institu...
17 篇 shenzhen institu...
16 篇 siat branch shen...
16 篇 key laboratory o...
16 篇 southern univers...
14 篇 cas key laborato...
14 篇 guangdong-hong k...
12 篇 guangdong provin...
12 篇 university of ch...
12 篇 chinese universi...
11 篇 cas key laborato...
11 篇 guangdong provin...

作者

85 篇 guanglin li
57 篇 wu xinyu
52 篇 li guanglin
33 篇 xinyu wu
29 篇 shixiong chen
25 篇 peng fang
24 篇 oluwarotimi will...
20 篇 xin wang
18 篇 cheng jun
18 篇 wang can
18 篇 chen shixiong
17 篇 wang xin
16 篇 fang peng
15 篇 zhang qieshi
15 篇 yongsheng ou
15 篇 mingxing zhu
14 篇 feng wei
13 篇 xiangxin li
13 篇 jun cheng
12 篇 yue zheng

语言

417 篇 英文
5 篇 中文
3 篇 其他

检索条件"机构=CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems"

共 425 条记录，以下是31-40 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：

Enhancement of upper limb movement classification based on wiener filtering technique 22

Enhancement of upper limb movement classification based on w...

引用

22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

作者： Jarrah, Yazan Ali Grace, Asogbon Mojisola Samuel, Oluwarotimi Williams Zhu, Mingxing Wang, Xin Delis, Alberto Lopez Huang, Weimin Chen, Shixiong Li, Guanglin CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen College of Advanced Technology UCAS Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Medical Biophysics Center Oriente University Cuba Shenzhen Children's Hospital Department of Neonatology Shenzhen Guangdong518038 China

ISBN: (纸本)9781728162676

Electromyogram pattern recognition (EMG-PR) is considered a potential method for upper limb prosthesis control. In principle, the feature extraction technique has been ranked the most influential factor that affect the EMG-PR method's performance. Despite the progress made thus far, there are inevitable interferences that could not be handled by the usual signal filtering approaches that are applied to enhance the extracted features. To address this issue, this study proposed a technique based on Wiener filtering for the preprocessing of EMG signals towards increasing the classification performance of EMG-PR systems. The performance of the proposed approach was investigated with recordings of high-density surface EMG which was obtained from four transhumeral amputees who performed five classes of limb movements. Then, features of five time-domain were analyzed in terms of their decoding accuracy, sensitive, and F1-score, with and without the application of the proposed for linear discriminant analysis and support vector machine classifiers techniques. Experimental results showed that by applying the proposed technique to the different feature sets, significant improvements in classification accuracy, sensitivity, and F1-score were observed across all subjects and classifiers. The proposed method improved the average classification accuracy by an increase of approximately 6.24% compared with the conventional method, while an increment as high as 16.77% was recorded for individual classes of movements. The outcomes of this study indicate that Wiener filtering may potentially boost the performance of EMG-PR systems in practical applications. © 2021 IEEE.

关键词： Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Multimodal learning using 3D audio-visual data for audio-visual speech recognition 21

Multimodal learning using 3D audio-visual data for audio-vis...

引用

21st International Conference on Asian Language Processing, IALP 2017

作者： Su, Rongfeng Wang, Lan Liu, Xunying CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781538619803

Recently, various audio-visual speech recognition (AVSR) systems have been developed by using multimodal learning techniques. One key issue is that most of them are based on 2D audio-visual (AV) corpus with the lower video sampling rate. To address this issue, a 3D AV data set with the higher video sampling rate (up to 100 Hz) is introduced to be used in this paper. Another issue is the requirement of both auditory and visual modalities during the system testing. To address this issue, a visual feature generation based bimodal convolutional neural network (CNN) framework is proposed to build an AVSR system with wider application. In this framework, long short-term memory recurrent neural network (LSTM-RNN) is used to generate the visual modality from the auditory modality, while CNNs are used to integrate these two modalities. On a Mandarin Chinese far-field speech recognition task, when visual modality is provided, significant average character error rate (CER) reduction of about 27% relative was obtained over the audio-only CNN baseline. When visual modality is not available, the proposed AVSR system using the visual feature generation technique outperformed the audio-only CNN baseline by 18.52% relative CER. © 2017 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Influence of prosthetic weight on muscle fatigue in upper limb amputees

Influence of prosthetic weight on muscle fatigue in upper li...

引用

2019 Intelligent Rehabilitation and human-machine Engineering Conference, IRHE 2019

作者： Zheng, Yue Li, Xiangxin Tian, Lan Li, Guanglin Chinese Academy of Sciences Shen Zhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shen Zhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems

ISBN: (纸本)9781839534997

Wearing a myoelectric prosthesis is the most effective way to restore the lost limb functions for amputees in their daily life. Unfortunately, the control performance of myoelectric prostheses is commonly affected by a number of factors that limit their practical use. When most of the factors have been investigated in the previous studies, it remains unclear how muscle fatigue negatively affects the prosthetic control stability. In this pilot work, our goal was to study the muscle fatigue that was induced by wearing a prosthesis with different weights. The effect of the weight of the prosthesis on muscle fatigue was estimated by surface electromyography (sEMG) signals that were recorded from residual limb muscles of a transradial amputee before and after wearing the prostheses. Three features, mean absolute value (MAV), mean frequency (MNF) and median frequency (MDF), were extracted from the EMG recordings and then the maximum voluntary contraction (MVC) was represented by the MAV and the muscle fatigue tendency was estimated from the MDF and MNF. The preliminary results of the study indicated that the greater the weight of the prostheses, the more likely it was to cause muscle fatigue. Importantly, our results showed that the muscles of intact limb recover much quicker than the disabled side from muscle fatigue. This study could provide the guidance for amputees to select a proper prosthesis base on individual load capacity, and decide appropriate usage time in daily training activities. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Muscle

来源：评论

学校读者我要写书评

暂无评论

Object detection for UAV grasping: Solution and analysis

Object detection for UAV grasping: Solution and analysis

引用

2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Chen, Zhiheng Wang, Can Wang, Huiguo Li, Panwei Li, Yuxiao Wu, Xinyu CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences China

ISBN: (纸本)9781538680698

Fast and accurate detection of the object's species and position are prerequisites for improving the efficiency of the UAV's grasping and transporting. Accurate detection of the optimal grasping box for different objects is the guarantee to improve the success rate of the UAV's grasping. The traditional UAV grasping researches frequently used external devices to acquire position and attitude information between the UAV and the object, such as using a motion capture system, but these methods have their own limitations. This paper designs an object detection system for UAV grasping. The system uses the object detection algorithm to provide the species and position information of object for UAV, and controls the UAV to fly over the object. The RGB-D sensor is used to acquire the image and depth information of object, and an optimal grasping box is trained based on the deep learning network to provide the grasping information for the UAV. The experiments show that the object detection system under the scene of UAV grasping can provide the species, localization and optimal grasping box of the object. © 2018 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

RE-RLTuner: A topic-based music generation method

RE-RLTuner: A topic-based music generation method

引用

2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021

作者： Liu, Haibin Xie, Xurong Ruzi, Rukiye Wang, Lan Yan, Nan Shenzhen Institute of Advanced Technology Chinese Academy of Sciences CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China University of Chinese Academy of Science Beijing10049 China Chinese University of Hong Kong Hong Kong999077 Hong Kong Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen51800 China

ISBN: (纸本)9781665436786

Automatic music generation has become a more exciting research topic. However, the existing music generation methods tend to utilize music data inherently and hardly consider music generation from the perspective of music composition theory. Therefore, how to use music theory to guide the automatic generation of music is drawing increasing attention to this area. In this work, we aim to extract music rules from given corpora and then apply them to generate new music of a similar style. We divided the melody into different scales (music segments with different numbers of notes, not set of notes ordered by pitch) based on the music structures and then employed Latent Dirichlet Allocation (LDA) topic model to learn the structural constraints of the provided musical form. The multi-scale fusion of musical features through reinforcement learning (RL) enables the model to consider the music generation from the global scope. Our experimental results show that our model is superior to the baseline model according to objective and subjective rating. The music generated from our model has better consistency in terms of music style, which indicates that the extracted structural features and the multi-scale modeling are promising for music generation of a certain style or topic. © 2021 IEEE.

关键词： Music

来源：评论

学校读者我要写书评

暂无评论

SpikingVPR: Spiking Neural Network-Based Feature Aggregation for Visual Place Recognition 5

SpikingVPR: Spiking Neural Network-Based Feature Aggregation...

引用

5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial intelligence, ICSMD 2024

作者： Wang, Gulin Ren, Ziliang Zhang, Qieshi Cheng, Jun Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China School of Computer Science and Technology Dongguan University of Technology Dongguan China

ISBN: (纸本)9798331529192

Visual Place Recognition (VPR) is a crucial task in robotics and autonomous driving, where it identifies the geographic location of a query image by matching it with a reference database. VPR faces significant challenges, including appearance variations due to lighting, occlusion, weather, and seasonal changes, alongside the need for real-time processing under low computational cost and latency. To address these challenges, we introduce Spiking Neural Networks (SNN) into the VPR task, specifically focusing on the feature aggregation component. SNN, with their event-driven nature, offer advantages in computational efficiency and energy consumption, making them well-suited for energy-constrained environments such as drones. Our approach transforms the feature aggregation stage of VPR into a spiking, event-driven mechanism, which maintains high recall performance while integrating seamlessly with traditional ANN-based methods. Experimental results demonstrate that our SNN-based method effectively maintains high recall performance, validating its potential in autonomous driving and other related applications. © 2024 IEEE.

关键词： Event-Driven Mechanism Feature Aggregation Spiking Neural Network Visual place recognition (VPR)

来源：评论

学校读者我要写书评

暂无评论

A practical framework for automatic 3D reconstruction of clothing with RGB-D cameras

A practical framework for automatic 3D reconstruction of clo...

引用

2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019

作者： Chang, Hongguang Song, Zhan Zhao, Juan Shenzhen College of Advanced Technology University of Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9781728137261

Accurate 3D modelling of real clothing is of great significance for many applications. However, most existing methods of acquiring these 3D models are too expensive and non-automatic. In this paper, we propose a practical framework for the automatic 3D reconstruction of clothing by scanning real clothes using a motorized rotation stage and three RGB-D cameras (Intel RealSense Depth Camera D415). The framework consists of three parts, including data acquisition module, point cloud process module and model reconstruction module. Users can easily use it to reconstruct clothes because it works automatically and quickly. Experimental results show that the proposed system and method can obtain 3D models of clothing with satisfied 3D mesh and texture. This research provides manufacturers a fast and economical way to create 3D clothing models for applications like virtual reality display and online shopping etc. © 2018 IEEE

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Learning-based adaptive estimation for AOA target tracking with non-gaussian white noise

Learning-based adaptive estimation for AOA target tracking w...

引用

2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019

作者： Xu, Sheng Ou, Yongsheng Wu, Xinyu Shenzhen Institutes of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9781728163215

In angle-of-arrival (AOA) target tracking, the target states are estimated using the noisy angular measurements. The non-Gaussian measurement noise is common in practical applications and will decrease the estimation accuracy significantly. This paper is to reduce the negative impacts of the non-Gaussian white noise (NGWN), which is modeled by multiple mixture Gaussian white noises, and guarantee the estimation accuracy. A learning-based adaptive extended Kalman filter (EKF) for AOA target tracking is developed in the NGWN environment. In the proposed method, the extreme learning machine (ELM) using a three-layer neural network is applied to identify the characters of measurement noise at each sampling time. Consequence, the EKF will consider the noise characters by the trained ELM, and make the corresponding real-time adjustments to improve the tracking performance. The effectiveness of the proposed method is verified by simulation examples. © 2019 IEEE.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

Exploring the Relationship Between Imitated and Associated Mechanism on Performance of Visual Imagery Brain-Computer Interface

Exploring the Relationship Between Imitated and Associated M...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Pengrui Tai Jingcheng Yang Shaowen Qi Guanglin Li Yunfa Fu Yongcheng Li Kunming University of Science and Technology Kunming China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems SIAT-CAS China CAS Key Laboratory of Human-Machine Intelligence-Systems SIAT-CAS China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Visual Imagery (VI) can be defined as the manipulation of visual information derived from memory rather than perception. Currently, the brain responses underlying imitation and associative VI are not clear. In this study, we explore the differences from imitation to associative VI on the brain responses based on EEG signals. In this study, eight participants were instructed to observe visual cues from three predefined images or characters (tree, computer, or sphere), and then imagine the same cues. The results indicate that there is a significant difference in power intensity among electrode channels in the occipital lobe, posterior parietal lobe, and temporal lobe during the imagination phase between imitative tasks and associative tasks, as revealed by t-tests (p < 0.05, rejecting the null hypothesis). Overall, imitation mechanisms and associative mechanisms represent the short-term memory (STM) and long-term memory (LTM) features of objects. This study addresses a crucial research gap in VI, as there is currently a scarcity of formal simultaneous comparisons in the existing literature.

关键词： Electrodes Visualization Temporal lobe Parietal lobe Electroencephalography Brain-computer interfaces Occipital Lobe Engineering in medicine and biology Visual perception

来源：评论

学校读者我要写书评

暂无评论

A Multi-task Learning Convolutional Neural Network for Object Pose Estimation⋆

A Multi-task Learning Convolutional Neural Network for Objec...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Yurui Wang Shaokun Jin Yongsheng Ou CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology

Estimating 6D poses of objects from RGB images is very crucial for robots to interact with the surrounding environment and to cooperate with humans. It is a challenging problem due to the various shapes of objects, the occlusions among objects, as well as the complexity of the scene. In this study, we present a new multi-task convolutional neural network for 6D object pose estimation, which also learns the object region in the image to further improve the estimation result. A weighted loss computed from the training samples is adopted to guarantee that the components of the estimated pose are equally accurate. Additionally, we sythesize new virtual data based on the existing training data so as to overcome the possible adverse situation caused by insufficiency of training data. Experiments on the YCB-video dataset are undertaken to validate the effectiveness of the proposed method.

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43页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：