中国科学院机构知识库网格系统: 检索

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	AD(2)S: Adaptive anomaly detection on sporadic data streams 期刊论文 OAI收割 COMPUTER COMMUNICATIONS, 2023, 卷号: 209, 页码: 151-162 作者: Liu, Fengrui; Wang, Yang; Li, Zhenyu; Guan, Hongtao; Xie, Gaogang \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2023/12/04 Anomaly detection Sporadic data Data streams Quality of service
	MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams 期刊论文 OAI收割 NEURAL NETWORKS, 2023, 卷号: 161, 页码: 525-534 作者: Peng, Xinyu; Wang, Fei-Yue; Li, Li \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/11/17 Deep learning Imbalanced data streams Sample gradient Typical samples Mixup
	Mining both frequent and rare episodes in multiple data streams 会议论文 OAI收割 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2013, Shenyang, China, July 23, 2013 - July 25, 2013 Hu, Zhongyi (1); Liu, Wei (1); Wang, Hongan (1) \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2014/12/16 data stream mining episode mining rare episode frequent episode multiple data streams
	Parallelizing weighted frequency counting in high-speed network monitoring 期刊论文 OAI收割 COMPUTER COMMUNICATIONS, 2011, 卷号: 34, 期号: 4, 页码: 536-547 作者: Zhang, Yu; Fang, Binxing; Zhang, Yongzheng \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/12/16 Traffic monitoring Parallel algorithms Data streams Weighted frequency counting Frequent items
	Identifying heavy hitters in high-speed network monitoring 期刊论文 OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2010, 卷号: 53, 期号: 3, 页码: 659-676 作者: Zhang Yu; Fang BinXing; Zhang YongZheng \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/12/16 network traffic monitoring heavy hitter weighted data streams
	efficient monitoring of skyline queries over distributed data streams 期刊论文 OAI收割 KNOWLEDGE AND INFORMATION SYSTEMS, 2010, 卷号: 25, 期号: 3, 页码: 575-606 Sun Shengli; Huang Zhenghua; Zhong Hao; Dai Dongbo; Liu Hongbin; Li Jinjiu \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2011/05/23 Distributed data streams Skyline Communication-optimal processing Progressive refinement
	modeling concept drift from the perspective of classifiers 会议论文 OAI收割 IEEE International Conference on Cybernetic Intelligent Systems (CIS 2008), Chengdu, PEOPLES R CHINA, SEP 21-24, Su Bai; Shen Yi-Dong; Xu Wei \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2011/06/13 Data Streams Classification Concept Drift
	mining recent frequent itemsets in data streams 会议论文 OAI收割 5th International Conference on Fuzzy Systems and Knowledge Discovery, Jinan, PEOPLES R CHINA, OCT 18-20, Li Kun; Wang Yong-yan; Ellahi Manzoor; Wang Hong-an \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2011/06/13 BFI-stream MFI-TransSW bounded frequent itemsets stream data streams prefix-tree based structure data mining tree data structures
	Real-time quality control on a smart camera (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Xiao C.; Zhou H.; Li G.; Hao Z. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 A smart camera is composed of a video sensing high-level video processing communication and other affiliations within a single device. Such cameras are very important devices in quality control systems. This paper presents a prototyping development of a smart camera for quality control. The smart camera is divided to four parts: a CMOS sensor a digital signal processor (DSP) a CPLD and a display device. In order to improving the processing speed low-level and high-level video processing algorithms are discussed to the embedded DSP-based platforms. The algorithms can quickly and automatic detect productions' quality defaults. All algorithms are tested under a Matlab-based prototyping implementation and migrated to the smart camera. The smart camera prototype automatic processes the video data and streams the results of the video data to the display devices and control devices. Control signals are send to produce-line to adjust the producing state within the required real-time constrains.