机构

• 金属研究所 [2]
• 长春光学精密机械与物... [1]
• 新疆理化技术研究所 [1]
• 过程工程研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [2]
• 2020 [1]
• 2019 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Regulating Orientational Crystallization and Buried Interface for Efficient Perovskite Solar Cells Enabled by a Multi-Fluorine-Containing Higher Fullerene Derivative 期刊论文  OAI收割 ADVANCED FUNCTIONAL MATERIALS, 2023, 页码: 10 作者:  Song, Peiquan;  Hou, Enlong;  Liang, Yuming;  Luo, Jiefeng;  Xie, Liqiang   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/01/08 buried interface  crystallization regulation  fullerene derivatives  ion migration  perovskite solar cells   Synergistic Effect of H-bond Reconstruction and Interface Regulation for High-Voltage Aqueous Energy Storage 期刊论文  OAI收割 ADVANCED ENERGY MATERIALS, 2023, 页码: 9 作者:  Hu, Tianzhao;  Ye, Zhicheng;  Wang, Yuzuo;  Gao, Xuning;  Sun, Zhenhua   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/01/07 Electrochemistry  High-voltage aqueous electrolytes  Hydrogen bonds  Interface regulation   Multifunctional Polymer-Regulated SnO(2)Nanocrystals Enhance Interface Contact for Efficient and Stable Planar Perovskite Solar Cells 期刊论文  OAI收割 ADVANCED MATERIALS, 2020, 页码: 10 作者:  You, Shuai;  Zeng, Haipeng;  Ku, Zhiliang;  Wang, Xiaoze;  Wang, Zhen   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/03/29 crystal growth  interface contact  perovskite solar cells  regulation of SnO2  stability   Structure Design and Performance of Hybridized Nanogenerators 期刊论文  OAI收割 ADVANCED FUNCTIONAL MATERIALS, 2019, 卷号: 29, 期号: 41, 页码: 特刊: SI 作者:  Zhang, KW (Zhang, Kewei)[ 1,2 ];  Wang, YOH (Wang, Yuonhao)[ 3 ];  Yang, Y (Yang, Ya)[ 1,2 ]   |  收藏  |  浏览/下载：44/0  |  提交时间：2019/11/19 hybridized nanogenerators  interface regulation  multiple energy scavenging  self-powered electronics   Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Zhang X.;  Zhang J.;  Zhang J.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：68/0  |  提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface  and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion  which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally  we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word  our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set  but also proves practical to some real world applications  in addition  this method is computationally simple and able to achieve a satisfactory accuracy.