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CAS IR Grid
机构
长春光学精密机械与物... [7]
自动化研究所 [4]
地理科学与资源研究所 [2]
计算技术研究所 [1]
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OAI收割 [15]
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会议论文 [7]
期刊论文 [6]
学位论文 [2]
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2020 [1]
2018 [2]
2012 [1]
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Computational Experiments for Complex Social Systems--Part I: The Customization of Computational Model
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 15
作者:
Xue, Xiao
;
Chen, Fangyi
;
Zhou, Deyu
;
Wang, Xiao
;
Lu, Min
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/01/27
Computational modeling
Complex systems
Analytical models
Tools
Adaptation models
Standards
Solid modeling
Artificial society
computational experiments
computational model
customized design framework
Earliest-known intentionally deformed human cranium from Asia
期刊论文
OAI收割
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES, 2020, 卷号: 12, 期号: 4, 页码: 8
作者:
Ni, Xijun
;
Li, Qiang
;
Stidham, Thomas A.
;
Yang, Yangheshan
;
Ji, Qiang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/09/15
Intentional cranial deformation
Complex society
Cross-generational cultural practice
Hereditary hierarchy
The 5.5 cal ka BP climate event, population growth, circumscription and the emergence of the earliest complex societies in China
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2018, 卷号: 61, 期号: 2, 页码: 134-148
作者:
Wu WenXiang
;
Zheng HongBo
;
Hou Mei
;
Ge QuanSheng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/05/30
5.5 cal ka BP climate event
Population growth
Circumscription
Complex society
Driving mechanisms
The 5.5 cal ka BP climate event, population growth, circumscription and the emergence of the earliest complex societies in China
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2018, 卷号: 61, 期号: 2, 页码: 134-148
作者:
Wu WenXiang
;
Zheng HongBo
;
Hou Mei
;
Ge QuanSheng
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/05/30
5.5 cal ka BP climate event
Population growth
Circumscription
Complex society
Driving mechanisms
基于平行管理方法的生产车间管理研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2012
作者:
沈小伟
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2015/09/02
复杂系统
平行系统理论
平行管理方法
社会复杂性
车间管理
Complex System
Parallel System Theory
Parallel Management Method
Society Complexity
Workshop Management
Semantic linking through spaces for cyber-physical-socio intelligence: A methodology
期刊论文
OAI收割
ARTIFICIAL INTELLIGENCE, 2011, 卷号: 175, 期号: 5-6, 页码: 988-1019
作者:
Zhuge, Hai
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/12/16
Cyber-physical society
Cyber-physical-socio intelligence
Cyber-physical system
Complex intelligence
Future interconnection environment
Interactive semantics
Resource space model
Semantic link network
The sequence measurement system of the IR camera (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Zhang H.-B.
;
Han H.-X.
;
Geng A.-H.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
Currently
the IR cameras are broadly used in the optic-electronic tracking
optic-electronic measuring
fire control and optic-electronic countermeasure field
but the output sequence of the most presently applied IR cameras in the project is complex and the giving sequence documents from the leave factory are not detailed. Aiming at the requirement that the continuous image transmission and image procession system need the detailed sequence of the IR cameras
the sequence measurement system of the IR camera is designed
and the detailed sequence measurement way of the applied IR camera is carried out. The FPGA programming combined with the SignalTap online observation way has been applied in the sequence measurement system
and the precise sequence of the IR camera's output signal has been achieved
the detailed document of the IR camera has been supplied to the continuous image transmission system
image processing system and etc. The sequence measurement system of the IR camera includes CameraLink input interface part
LVDS input interface part
FPGA part
CameraLink output interface part and etc
thereinto the FPGA part is the key composed part in the sequence measurement system. Both the video signal of the CmaeraLink style and the video signal of LVDS style can be accepted by the sequence measurement system
and because the image processing card and image memory card always use the CameraLink interface as its input interface style
the output signal style of the sequence measurement system has been designed into CameraLink interface. The sequence measurement system does the IR camera's sequence measurement work and meanwhile does the interface transmission work to some cameras. Inside the FPGA of the sequence measurement system
the sequence measurement program
the pixel clock modification
the SignalTap file configuration and the SignalTap online observation has been integrated to realize the precise measurement to the IR camera. Te sequence measurement program written by the verilog language combining the SignalTap tool on line observation can count the line numbers in one frame
pixel numbers in one line and meanwhile account the line offset and row offset of the image. Aiming at the complex sequence of the IR camera's output signal
the sequence measurement system of the IR camera accurately measures the sequence of the project applied camera
supplies the detailed sequence document to the continuous system such as image processing system and image transmission system and gives out the concrete parameters of the fval
lval
pixclk
line offset and row offset. The experiment shows that the sequence measurement system of the IR camera can get the precise sequence measurement result and works stably
laying foundation for the continuous system. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Sun H.
;
Han H.-X.
;
Sun H.
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring
precision
and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection
the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure
but in order to capture the change of the state space
it need a certain amount of particles to ensure samples is enough
and this number will increase in accompany with dimension and increase exponentially
this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"
we expand the classic Mean Shift tracking framework.Based on the previous perspective
we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis
Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism
used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation
and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information
this approach also inhibit interference from the background
ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Dong Y.-X.
;
Zhang H.-B.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:111/0
  |  
提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
基于网络信息的社会动力学研究
期刊论文
OAI收割
复杂系统与复杂性科学, 2011, 卷号: 8, 期号: 3, 页码: 1-12
作者:
郑晓龙
;
钟永光
;
王飞跃
;
曾大军
;
张清鹏
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2017/07/16
社会动力学
Social Dynamics
网络信息
Web Information
复杂网络
Complex Netw Orks
系统动力学
System Dynamics
人工社会
Artificial Society