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CAS IR Grid
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数学与系统科学研究院 [5]
沈阳自动化研究所 [3]
长春光学精密机械与物... [1]
生态环境研究中心 [1]
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OAI收割 [10]
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期刊论文 [7]
会议论文 [3]
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2022 [1]
2021 [3]
2019 [1]
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2009 [1]
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Distributed system identification for linear stochastic systems with binary sensors
期刊论文
OAI收割
AUTOMATICA, 2022, 卷号: 141, 页码: 13
作者:
Fu, Kewei
;
Chen, Han-Fu
;
Zhao, Wenxiao
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/02/07
Distributed system identification
Binary-valued sensor
Stochastic approximation
Consensus
Convergence
Strong consistency
System Identification With Binary-Valued Observations Under Data Tampering Attacks
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 8, 页码: 3825-3832
作者:
Guo, Jin
;
Wang, Xuebin
;
Xue, Wenchao
;
Zhao, Yanlong
  |  
收藏
  |  
浏览/下载:117/0
  |  
提交时间:2021/10/26
Estimation
Sensor systems
Security
Communication networks
Automation
Production
Binary-valued observations
compensation-oriented defense scheme
data tampering attack
system identification
Utilizing Csiszar Divergences to Analyze Deployments of Binary Sensors with Modulators
会议论文
OAI收割
ELECTR NETWORK, June 28 -JuLy 2, 2021
作者:
Luo LX(罗龙祥)
;
Xiao Y(肖杨)
;
Liang W(梁炜)
;
Zheng M(郑萌)
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/11/08
Binary sensor deployment
modulators
sensor array
divergence
smoothing method
The Maximum Number of Cells with Modulated Binary Sensors
期刊论文
OAI收割
IEEE Sensors Journal, 2021, 卷号: 21, 期号: 9, 页码: 11061-110744
作者:
Luo LX(罗龙祥)
;
Xiao Y(肖杨)
;
Liang W(梁炜)
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/03/14
Internet of Things (IoT)
Binary sensors
Sensor Deployment
Sensor Array
Spatial Awareness
the maximum number of cells
Encoding space to count multi-targets with multiplexed binary infrared sensors
会议论文
OAI收割
Shenzhen, China, December 11-13, 2019
作者:
Luo LX(罗龙祥)
;
Xiao Y(肖杨)
;
Liang W(梁炜)
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2020/05/24
binary infrared sensors
sensor array
target counting
occupancy
field of interest
reference structure
Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 卷号: 62, 期号: 8, 页码: 3959-3971
作者:
Zhao, Wenxiao
;
Chen, Han-Fu
;
Tempo, Roberto
;
Dabbene, Fabrizio
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2018/07/30
Binary sensor
nonparametric nonlinear system
recursive identification
stochastic approximation
strong consistency
Detection of bioavailable cadmium, lead, and arsenic in polluted soil by tailored multiple Escherichia coli whole-cell sensor set
期刊论文
OAI收割
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2015, 卷号: 407, 期号: 22, 页码: 6865-6871
作者:
Hou, Qihui
;
Ma, Anzhou
;
Wang, Thanh
;
Lin, Jianqiang
;
Wang, Hailin
  |  
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2016/03/15
Heavy Metals
Bioavailability
Specificity
Whole-cell Sensor Set
Cross-mixed Induction
Binary Linear Regression
Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE)
会议论文
OAI收割
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
作者:
Wang D.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
In feature-level fusion recognition system
the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general
there are two main missions. One is improving the recognition correct rate as soon as possible
the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions
this paper presents a more rational and accurate optimization
Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition
we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last
we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points
while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.
Identification input design for consistent parameter estimation of linear systems with binary-valued output observations
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 卷号: 53, 期号: 4, 页码: 867-880
作者:
Wang, Le Yi
;
Yin, G. George
;
Zhao, Yanlong
;
Zhang, Ji-Feng
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
binary-valued observation
distribution function
identification
input design
parameter estimation
sensor threshold
sufficient excitation
Identification of Wiener systems with binary-valued. output observations
期刊论文
OAI收割
AUTOMATICA, 2007, 卷号: 43, 期号: 10, 页码: 1752-1765
作者:
Zhao, Yanlong
;
Wang, Le Yi
;
Yin, G. George
;
Zhang, Ji-Feng
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2018/07/30
identification
binary-valued observations
Wiener systems
parameter estimation
sensor thresholds
periodic inputs
joint identifiability