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

965 篇 会议
618 篇 期刊文献
2 册 图书

馆藏范围

1,585 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

980 篇 工学
- 644 篇 计算机科学与技术...
- 559 篇 软件工程
- 197 篇 控制科学与工程
- 188 篇 信息与通信工程
- 157 篇 生物工程
- 142 篇 生物医学工程（可授...
- 130 篇 光学工程
- 108 篇 机械工程
- 102 篇 电气工程
- 90 篇 电子科学与技术（可...
- 69 篇 化学工程与技术
- 57 篇 仪器科学与技术
- 35 篇 交通运输工程
- 34 篇 建筑学
- 33 篇 材料科学与工程（可...
- 31 篇 土木工程
- 27 篇 动力工程及工程热...
- 25 篇 力学（可授工学、理...
563 篇 理学
- 244 篇 数学
- 210 篇 物理学
- 169 篇 生物学
- 81 篇 统计学（可授理学、...
- 70 篇 化学
- 46 篇 系统科学
219 篇 管理学
- 113 篇 图书情报与档案管...
- 109 篇 管理科学与工程(可...
- 22 篇 工商管理
113 篇 医学
- 103 篇 临床医学
- 72 篇 基础医学(可授医学...
- 57 篇 药学(可授医学、理...
20 篇 法学
11 篇 经济学
11 篇 农学
8 篇 教育学
3 篇 文学
2 篇 军事学

主题

94 篇 feature extracti...
63 篇 training
49 篇 semantics
41 篇 task analysis
33 篇 accuracy
32 篇 deep learning
32 篇 electroencephalo...
32 篇 computational mo...
26 篇 object detection
26 篇 visualization
25 篇 semantic segment...
24 篇 cameras
24 篇 robustness
23 篇 neural networks
23 篇 predictive model...
22 篇 conferences
22 篇 generative adver...
21 篇 support vector m...
20 篇 machine learning
20 篇 data models

机构

245 篇 key laboratory o...
199 篇 school of comput...
81 篇 shenzhen college...
79 篇 school of data a...
76 篇 university of ch...
74 篇 college of intel...
70 篇 cas key laborato...
66 篇 peng cheng labor...
61 篇 guangdong provin...
52 篇 tianjin key labo...
44 篇 cas key laborato...
41 篇 tianjin key labo...
34 篇 guangdong-hong k...
33 篇 tianjin key labo...
31 篇 shenzhen institu...
31 篇 cas key laborato...
31 篇 guangdong provin...
27 篇 key laboratory o...
27 篇 sun yat-sen univ...
27 篇 the chinese univ...

作者

125 篇 zheng wei-shi
80 篇 guanglin li
59 篇 wu xinyu
44 篇 wei-shi zheng
43 篇 li guanglin
39 篇 yunong zhang
36 篇 xinyu wu
36 篇 xie xiaohua
29 篇 lai jianhuang
28 篇 shixiong chen
27 篇 fuji ren
25 篇 lai jian-huang
24 篇 mei yu
24 篇 peng fang
23 篇 dang jianwu
23 篇 wang xin
22 篇 oluwarotimi will...
22 篇 lu bao-liang
22 篇 wang longbiao
22 篇 ren fuji

语言

1,452 篇 英文
124 篇 其他
11 篇 中文

检索条件"机构=The Key Laboratory of Machine Intelligence and Advanced Computing"

共 1585 条记录，以下是551-560 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 novel gait prediction method for soft exosuit base on limit cycle and neural network 22

A novel gait prediction method for soft exosuit base on limi...

引用

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

作者： Chen, Lingxing Chen, Chunjie Fang, Tao Zhang, Yu Liu, Youfu Wu, Xinyu Shenzhen Institutes of Adanced Technology Chinese Academy of Sciences Shenzhen China ShenZhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (纸本)9781728162676

The important purpose of soft exosuit is to decrease the energy consumption of users by providing assistance. If there is something wrong with the judgment of the human gait during the assisting process, the assisting effect will be poor and even people's walking will be affected. A novel method is designed to predict human gait information in the paper, which utilizes the curve shape and mathematical characteristics of the Rayleigh oscillator equation in limit cycle to fit gait information. Only 1/4 gait cycle data is needed to input into the trained neural network to output an Rayleigh oscillator equation that can better predict the remaining gait cycle information. Data of four subjects on different terrains which include flat ground and upstairs are collected. Experiment results showed that the trained ANN model costs about 0.006s in CPU, it has a prediction speed similar to traditional prediction methods. Simultaneously the Rayleigh oscillator equation has good performance in predicting gait information, and it can show a higher stability and accuracy compared with traditional gait prediction methods. © 2021 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A novel soft exosuit based on biomechanical analysis for assisting lower extremity 22

A novel soft exosuit based on biomechanical analysis for ass...

引用

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

作者： Liu, Youfu Chen, Chunjie Lu, Jun Liu, Yida Zhang, Yu Wang, Zhuo College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Shenzhen China ShenZhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (纸本)9781728162676

In the past two decades, with growing focus of lower limb exoskeleton, large variety of rigid exoskeletons were designed for medical rehabilitation and the other purposes. Compared with the rigid exoskeletons, which added extra inertial to low limb and restricted wearers' movement, the soft wearable lower extremity exoskeleton minimized the impact of these factors on the human body locomotion. In this paper, a novel design of exosuit that provided assistive force for both hip extension and flexion through the variation in hip joint dynamics during strides was proposed. Based on the change of hip moment, an assistance strategy and assistance force curve were came up with. PD type iterative learning control (ILC) method was introduced to reduce the error caused by wearing position and biological characteristics to improve assistance performance. To evaluate assistance performance, the metabolic cost of four subjects wearing exosuit and walking on treadmill at 5km/h in the situations of that without assistance, assisting both hip extension and hip flexion, and assisting hip extension respectively was measured. Compared with assisting hip extension only and wearing exosuit with no assistance, results indicated that the decrease in average net metabolic cost of assisting both hip extension and flexion was 0.445W/kg and 1.027W/kg respectively, corresponding to the average net metabolic cost rate decrease was 7.45% and 15.67%. © 2021 IEEE.

关键词： Exoskeleton (Robotics)

来源：评论

学校读者我要写书评

暂无评论

An Attention-based Bidirectional LSTM Model for Continuous Cross-Subject Estimation of Knee Joint Angle during Running from sEMG Signals

An Attention-based Bidirectional LSTM Model for Continuous C...

引用

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

作者： Alireza Rezaie Zangene Oluwarotimi Williams Samuel Ali Abbasi Kianoush Nazarpour Alistair A. McEwan Guanglin Li Department of Sports Biomechanics Kharazmi University Tehran Iran School of Computing and Engineering University of Derby United Kingdom Edinburgh Neuroprosthetics Laboratory School of Informatics The University of Edinburgh Edinburgh UK CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) Shenzhen Guangdong China

Accurate and robust estimation of joint kinematics via surface electromyogram (sEMG) signals provides a human-machine interaction (HMI)-based method that can be used to adequately control rehabilitation robots while performing complex movements, such as running, for motor function restoration in affected individuals. To this end, this paper proposes a deep learning-based model (AM-BiLSTM) that integrates a bidirectional long short-term memory (BiLSTM) network and an attention mechanism (AM) for robust estimation of joint kinematics. The proposed model was appraised using knee joint kinematic and sEMG signals collected from fourteen subjects who performed running at the speed of 2 m/s. The proposed model's generalizability was tested for both within- and cross-subject scenarios and compared with long short-term memory (LSTM) and multi-layer perceptron (MLP) networks in terms of normalized root-mean-square error and correlation coefficient metrics. Based on the statistical tests, the proposed AM-BiLSTM model significantly outperformed the LSTM and MLP methods in both within- and cross-subject scenarios (p<0.05) and achieved state-of-the-art *** Relevance— The promising results of this study suggest that the AM-BiLSTM model has the potential for continuous cross-subject estimation of lower limb kinematics during running, which can be used to control sEMG-driven exoskeleton robots oriented towards rehabilitation training.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimization of a Piezoelectric Bending Beam-based Human Knee Energy Harvester

Optimization of a Piezoelectric Bending Beam-based Human Kne...

引用

IEEE International Conference on Mechatronics and Automation

作者： Haisu Liao Yidi Wang Qiuyu Shi Ruisen Huang Fei Gao Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy System

The concept of extracting energy from the human body to recharge depleted energy sources has gained significant attention. Recently, scientists have focused on harnessing biomechanical energy from the human body while walking. The aim of this study is to optimize a piezoelectric bending beam-based human knee energy harvester to enhance performance. Specifically, the shape of the bending beam (the substrate: a carbon fiber plate) is optimized to modulate the deformation, such that the average strain of the piezoelectric macro fiber composites (MFC) attached to the bending beam is improved to generate more electricity. In addition, the effects of the substrate’s thickness and the hinge base’s height for the bending beam on the output power are also analyzed. Experimental testing on a subject is conducted to validate our design and test the performance. The harvester generates an average power output of 24.55 mW when walking at 4 km/h on a treadmill. The harvester’s total weight is 278g.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Reconstruction of speech spectrogram based on non-invasive EEG signal

Reconstruction of speech spectrogram based on non-invasive E...

引用

International Symposium on Chinese Spoken Language Processing

作者： Di Zhou Masashi Unoki Gaoyan Zhang Jianwu Dang School of Information Science Japan Advanced Institute of Science and Technology Ishikawa Japan College of Intelligence and Computing Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin China

ISBN: (纸本)9798350397970

Decoding neural activity into speech could enable natural conversations for people who are unable to communicate as a result of neurological diseases. Studies have proven that speech could be directly recognized or synthesized from intracranial recordings. However, intracranial electrocorticography is invasive, thus not comfortable for patients. By the acoustic representation of speech in the high-level brain cortex, we successfully reconstructed a speech spectrogram from non-invasive electroencephalography (EEG), which has similar accuracy to previous intracranial recording. As well as the reported superior temporal gyrus, premotor cortex, and inferior frontal gyrus, we also found speech representations in several other cortices such as an entorhinal, fusiform, and temporal pole. The intelligibility of the recovered speech in this study was not high enough, however, our findings show a possibility to reconstruct speech from non-invasive EEG in the future.

关键词： Neurological diseases Neural activity Speech recognition Oral communication Electroencephalography Encoding Recording

来源：评论

学校读者我要写书评

暂无评论

A Compact Transformer for Adaptive Style Transfer

A Compact Transformer for Adaptive Style Transfer

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Yi Li Xin Xie Haiyan Fu Xiangyang Luo Yanqing Guo School of Artificial Intelligence Dalian University of Technology Dalian China School of Information and Communication Engineering Dalian University of Technology Dalian China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Due to the limitation of spatial receptive field, it is challenging for CNN-based style transfer methods to capture rich and long-range semantic concepts in artworks. Though the transformer provides a fresh solution by considering long-range dependencies, it suffers from the heavy burdens of parameter scale and computation cost especially in vision tasks. In this paper, we design a compact transformer architecture AdaFormer to address the problem. The model scale shrinks about 20% compared to state-of-the-art transformer for style transfer. Furthermore, we explore the adaptive style transfer by letting the content to select the detailed style element automatically and adaptively, which encourages the output to be both appealing and reasonable. We evaluate AdaFormer comprehensively in the experiments and the results have shown the effectiveness and superiority of our approach compared to existing artistic methods. Diverse plausible stylized images are obtained with better content preservation, more convincing style sfumato and lower computation complexity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Deep-Learning-Based Method for Gaining More Biomechanical Parameters with Fewer Sensors in Fast and Complex Movements

A Deep-Learning-Based Method for Gaining More Biomechanical ...

引用

2022 IEEE International Conference on Real-Time computing and Robotics, RCAR 2022

作者： Wang, Ye Shan, Gongbing Li, Hua Feng, Ruliang Zhang, Yilan Li, Guanglin Wang, Lin CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Guangdong-Hong Kong-Macau Joint Laboratory of Human-Machine Intelligence-Synergy Systems Guangdong Shenzhen518055 China University of Lethbridge Department of Mathematics and Computer Science LethbridgeABABT1K3M4 Canada Department of Kinesiology and Physical Education University of Lethbridge LethbridgeABT1K3M4 Canada

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

Real-Time biomechanical feedback can provide direct and objective quantified information for any practitioners, such as the athletes/coaches, to assist in accelerating their motor skills' learning and training process. However, it is usually difficult to monitor the human motion in full and acquire the key biomechanical parameters (i.e., the kinematic and kinetic data, the EMG, etc.) just with few sensors in some elite sports involving fast movements and complex motor skills. Using too many sensors in the field tests may limit the athletes' motor ability and affect the collected data's validity and reliability. In this paper, we employ a deep learning method to immensely reduce the number of sensors required for providing the real-Time biomechanical feedback in field, according to the hammer-Throw local motion features found from our pilot study. Based on the Keras API imported from the TensorFlow open-source platform, two Sequential Neural Network models are implemented and compared. One model has two inputs (i.e., vertical displacements and velocities on waist) and six outputs (i.e., vital joint angles on lower limbs). The other one has four inputs (i.e., vertical displacements and velocities on wrist and waist) and thirteen outputs (i.e., vital joint angles on both upper and lower limbs). The experimental results demonstrate that the vital joint angles on the upper and lower limbs have strong correlation with the vertical wrist and waist/hip displacements respectively. This study indicates that fewer wearable sensors can be applied in fast and complex movements to obtain the most significant kinematic data, whereas more biomechanical parameters can be further gained by prediction. © 2022 IEEE.

关键词： Kinematics

来源：评论

学校读者我要写书评

暂无评论

Halftone Image Steganography with Distortion Measurement Based on Structural Similarity 18th

Halftone Image Steganography with Distortion Measurement Bas...

引用

18th International Workshop on Digital Forensics and Watermarking, IWDW 2019

作者： Liu, Wanteng Yin, Xiaolin Lu, Wei Zhang, Junhong School of Data and Computer Science Guangdong Key Laboratory of Information Security Technology Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University Guangzhou510006 China

ISBN: (纸本)9783030435745

For halftone image data hiding, it is difficult to achieve good visual quality and statistical security when high embedding capacity is demanded. In this paper, a secure steganographic scheme for halftone image is proposed, which aims to minimize the embedding distortion on structural similarity. Structural distortions are the ones that affect the most the perception of degradation of a halftone image. To evaluate the structural distortions caused by flipping pixels, halftone image structural similarity (HSSIM) is introduced based on a human visual filter, which is trained by Least-Mean-Square (LMS) approach. Utilizing the HSSIM, a distortion measurement is proposed to evaluate the embedding distortions on both vision and statistics. To minimize the embedding distortions, syndrome-trellis code (STC) is employed in the embedding process. The experimental results have demonstrated that the proposed steganographic scheme can achieve high statistical security with good visual quality without degrading the embedding capacity. © 2020, Springer Nature Switzerland AG.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

A control method with terrain classification and recognition for lower limb soft exosuit 22

A control method with terrain classification and recognition...

引用

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

作者： Ni, Jiangpeng Chen, Chunjie Wang, Zhuo Liu, Youfu Wu, Xinyu Liu, Yida Shenzhen Institutes of Adanced Technology Chinese Academy of Sciences Shenzhen China ShenZhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (纸本)9781728162676

Soft Exosuit is a kind of Lower-limb wearable robots to augment and assist the wearer's performance. The wearer need different assistance modes to reduce the metabolic rate when walking on different terrains. Therefore, assistance modes need to be selected according to different terrains for the wearer of soft Exosuit. Recently, our team has designed a stable terrain classification and recognition system (TCRS) for the soft Exosuit to discriminate terrains and estimating environmental features. Through this system, soft Exosuit can perceive the environment to auxiliary control of the locomotion modes. A depth sensor with an inertial measurement unit(IMU) can acquire to stabilize the point cloud of environments. Subsequently, the 2D point cloud is extracted from the origin 3D point cloud. Then, they are classified to estimate terrain environmental features, including the incline angle of the slope, the width, and the stairs' height. Finally, the TCRS was evaluated by classifying and recognizing five basic terrains in three different experimental scenarios while the subject was wearing the soft Exosuit with the TCRS module. The results show that the terrain classification accuracy rate reaches 97.74 %, and the environmental features estimation error is less than 15 %. The promising results indicate the robustness and the potential application of the presented TCRS to provide proper auxiliary force to reduce the metabolic rate of wearers on different terrains. © 2021 IEEE.

关键词： Metabolism

来源：评论

学校读者我要写书评

暂无评论

Halftone Image Steganography Based on Reassigned Distortion Measurement 7th

Halftone Image Steganography Based on Reassigned Distortion...

引用

7th International Conference on Artificial intelligence and Security, ICAIS 2021

作者： Xu, Wenbo Liu, Wanteng Lin, Cong Wang, Ke Wang, Wenbin Lu, Wei School of Computer Science and Engineering Guangdong Key Laboratory of Information Security Technology Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University Guangzhou510006 China School of Statistics and Mathematics Guangdong University of Finance and Economics Guangzhou510320 China Guangdong Science and Technology Innovation Monitoring and Research Center Guangzhou510033 China

ISBN: (纸本)9783030786113

Most state-of-the-art halftone image data hiding methods aim to preserve good visual quality when embedding messages, while ignoring the statistical security. This paper proposed a halftone steganographic scheme that improves the visual quality and the statistical security of the anti-steganalysis. First, a general distortion measurement for halftone images based on human visual system (HVS) model is proposed. Utilizing the Least-Mean-Square (LMS) method, halftone images can be converted to grayscale images and the objective image quality assessment is applied to evaluate the distortion caused by flipping pixels. Different distortion measurements can be derived from different image quality assessments. Then, to further measure the embedding distortions, we combine these distortion measurements to construct a reassigned distortion measurement based on the controversial pixels prior (CPP) rule. Finally, syndrome-trellis code (STC) is employed to minimize the number of flipping pixels. Experimental results have shown that the proposed steganographic scheme achieves strong statistical security with high capacity and visual quality. © 2021, Springer Nature Switzerland AG.

关键词： Image quality

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159页 << < 52 53 54 55 56 57 58 59 60 61 > >>

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：