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The failure of operating mechanism occupies the absolute majority of the high voltage circuit breaker failure. Identification and prediction of operating mechanism of the failure of high voltage circuit has a great effect in breaker maintenance and overhaul. In this paper, a mechanical status identification method based on covariance matrix is used to get mechanical characteristic signals from the...
Photoplethysmography (PPG) is a kind of physiological information that can be easily disturbed by motion artifacts. Therefore,this paper paid attention to the extraction of information from PPG with motion artifacts. In the paper, a new framework that can extract heart rate(HR) information from PPG signals with severe motion artifacts is proposed, using Singular Spectrum Analysis, Real-time Clustering,...
To solve the problem that traditional solution of coordinate transformation parameters based on rotation angles depends strongly on initial value of parameter, the paper adopts quaternion to represent 3D rotation matrix, then puts forward a quaternion-based solution of non-linear 3D coordinate transformation parameters. The case study shows that the solution has a weak dependence on the initial value...
Malignant tumor or cancer is one of serious diseases threatening human health. It is a challenging issue on how to diagnose the malignant tumor earlier and more accurately. A feasible way on cancer diagnosis is efficiently to share and analyze tumor related data. We work on a cyberinfrastructure which presents data sharing and data analysis solutions to reveal the relationship between tumor and gene.
The emerging wireless mesh networks (WMN) is a broadband access technology. However, the introduction of multi-hop and self-organization properties of WMN disables the adoption of IEEE 802.11i security scheme which is widely used in WLAN networks. This paper mainly focuses on the studies of secure authentication protocols of mesh security association (MSA) architecture proposed by IEEE 802.11s task...
A novel loop selection framework with cost evaluation to boost thread level speculation (TLS) parallelism in chip multiprocessor (CMP) systems is proposed in this paper. In order to improve the performance, a loop selection framework with the aid of TLS and profiling is added to reduce unnecessary loops parallelization for their low gains even losses under parallelization. A number of techniques for...
With the development of the Internet, Multicast applications are deployed for mainstream use, IP multicasting is critical technology in those applications. The absence of security mechanism has limited the use of multicast. In order to protect communication confidentiality, Traffic in secure multicast is encrypted with a Session Encryption Key which is only to the certificated group members. Key management...
TCP is the prevalent, reliable transport control protocol. It is designed for wired network. However, when it is used in heterogeneous networks, TCP performance will degrade, especially for timing mechanism. This paper analyzes typical timing estimating arithmetic, and then proposes a modified TCP timing mechanism and its performance are investigated through simulations. Comparing with tradition timing...
To estimate intracranial pressure (ICP) noninvasively, a data mining framework was proposed in our previous work. In the procedure, the mapping function plays an important role to estimate ICP based on the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV), which is translated to the estimated errors by the mapping function for each entry in the database. In this paper,...
Outlier detection over data streams has attracted attention for many emerging applications, such as network intrusion detection, web click stream and aircraft health anomaly detection. Since the data stream is likely to change over time, it is important to be able to modify the outlier detection model appropriately with the evolution of the stream. Most existing approaches were using incremental or...
Telecom churn prediction is one of the key factors which closely related to the development of telecommunications business. To solve the data imbalance problem exiting in this field, traditional researches always redistribute samples according to misclassification cost. But exiting researches in this area neither gave out the quantitative description of the misclassification cost nor set up a unified...
This paper presents a new method for time series data mining. Discrete Fourier transform (DFT) is used to transform the time series data from time domain to frequency domain. By taking the transformed amplitude of power spectrum as the feature samples of the time series data, time series data can be mapped into a frequency domain space. We use OPTICS (ordering points to identify the cluster structure)...
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