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Moving target indicator (MTI) analysts in the field are responsible for processing the increasing amounts of live streaming data. Analysts manually access unique data sources through a set of tools, and perform analysis on the available data. Operationally, analysts can only concentrate on small areas of interest and are subject to attentional blindness. Abnormalities in the periphery are often not...
Time series measured in real world is often nonlinear, even chaotic. To effectively extract desired information from measured time series, it is important to preprocess data to reduce noise. In this Letter, we propose an adaptive denoising algorithm. Using chaotic Lorenz data and calculating root-mean-square-error, Lyapunov exponent, and correlation dimension, we show that our adaptive algorithm more...
Feedback intervention, especially the feedback valence, can affect people's working performance. And as an important mediator variable, self-efficacy has a great influence on the effect of feedback valence. In present study, people with different level of self-efficacy were selected as subjects. We gave feedback according to the valence, and compared subjects' performance and working efficiency. The...
Daily sensor data volumes are increasing from gigabytes to multiple terabytes. The manpower and resources needed to analyze the increasing amount of data are not growing at the same rate. Current volumes of diverse data, both live streaming and historical, are not fully analyzed. Analysts are left mostly to analyzing the individual data sources manually. This is both time consuming and mentally exhausting...
The end entity certificates (EECs) revocation mechanism in grid security infrastructure (GSI) adopts certificate revocation list (CRL) currently. However, CRL is an inefficient mechanism with drawbacks of "time granularity problem" and unmanageable sizes. This paper presents a new EECs revocation mechanism MEECRM (mediated RSA-based end entity certificates revocation mechanism) combined...
In this paper, we propose a new statistical objective perceptual video quality measure PSNRr,f-MOSr. PSNRr,f is defined as the PSNR achieved by f% of the frames in each one of the r% of the transmissions over a network. This quantity has the potential to capture the performance loss due to damaged frames in a particular video sequence (f%), as well asto indicate the probablity of a user experiencing...
Factor analysis is a statistical method used to uncover relationships among many variables. Factor analysis could be used to separate the information gained about the interdependencies variables, helping reduce a large number of variables to a smaller number of factors for modeling purposes. It is becoming more and more popular in socio-economics statistics. This paper, based on mathematical statistics...
A high-reliability, high-precision, small volume of insulation on-line monitoring system for high-voltage cables is developed. Without changing the connection of original power system, the aging state of cable insulation is evaluated by multiple parameters relevant to insulation to improve the reliability of monitoring. Constructed experiment is carried out to verify the performance of the monitoring...
With the energy reduction become more and more popular, power company need to build AMR system to improve energy efficiency. Many AMR systems around the world have used PLC as communication channel and it's the same in China. BPL technology has become more mature, and it's reliability, stability and practicality has been verified in a number of field trial which shows great potential in the future...
Recently we proposed a block-based conditional correlation coefficient model for natural videos in the spatial-temporal domain. The conditioning is on local texture and the optimal parameters can be calculated for a specific video with a mean absolute error (MAE) usually smaller than 5%. We used this conditional correlation model and the classic results on conditional rate distortion functions to...
Protein-DNA interactions play pivotal roles in gene regulation and DNA replication and repair. Since the 3-dimensional structure of most proteins is still unknown, computational methods which can identify DNA-binding sites from protein sequences are in demand. In this study, we used a greedy method to search for features that are useful for the identification of DNA-binding sites. 5 features were...
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