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PM2.5 concentration can have significant impacts on solar irradiation and thus on photovoltaic (PV) power output. This paper presents a method to model impacts of PM2.5 concentration on PV power. A non-parametric kernel density estimation is used to fit the probability distribution of PM2.5 concentration. An incremental relation between the increase of PM2.5 concentration and the decrease of solar...
Recent technological advances have enabled the generation of various omic data (e.g., genomics, proteomics, metabolomics and glycomics) in a high-throughput manner. The integration of multi-omic data sets is desirable to unravel the complexity of a biological system. In this paper, we propose a new approach to investigate both inter and intra relationships for multi-omic data sets by using regularized...
Collaborative spectrum sensing is an effective technique to improve the performance of spectrum sensing in cognitive radio. However, collaborative gains are limited by attacks and correlated shadowing. In this paper we propose a robust sensor selection algorithm to select reliable and less correlated sensors under both independent and collaborative attacks in correlated environment. Firstly, we iteratively...
In this paper, Empirical results characterizing the joint statistical properties of the shadow fading (SF), the root-mean-square (rms) delay spread (DS), and the Ricean K-factor are presented. Measurement data from high-speed railway in viaduct scenario have been analyzed. It is found that a log-normal distribution accurately fits the distribution function of all the investigated parameters. The spatial...
This paper addresses the problem of developing an efficient compression scheme with high quality and low computational complexity for ECG signal compression. Taking into account the joint sparsity existing in ECG data and the temporal dependencies in ECG signal sequence, a novel scheme for JSM-2 based ECG compression is developed to exploit these characteristics. We first predict support information...
To support long-term pervasive healthcare services, communications in Wireless Body Area Networks (WBANs) need to be both reliable and energy-efficient. As a cooperative transmission method, relay transmission scheme works effectively in resisting shadowing effect and improving reliability in WBANs. However, the extra energy consumption introduced by relay transmission is very high, which can shorten...
Current prominent camera identification methods use wavelet-based filter to extract photo-response non-uniformity (PRNU) noise as camera fingerprint. However, these noise features in heavily textured images can not be extracted by using wavelet-based filter effectively. In this paper, we propose a new camera identification method that uses curvelet-based filter to extract noise features in heavily...
In this paper, we propose a new method to detect the forgeries in digital images by using photo-response non-uniformity (PRNU) noise features. The method utilizes canonical correlation analysis (CCA) to measure linear correlation relationship between two sets of PRNU noise estimation from images taken by the same camera. The linear correlation relationship maximizes the correlation between the noise...
In this paper, A new method is proposed for digital camera identification from its color images using image sensor noise. Currently the proposed camera identification methods use wavelet-based denoising filter to extract the sensor noise feature. However, the wavelet methods may smooth the edged while denoising and this will lead to low accuracy for those images including highly textured regions....
In this paper, we introduce a new method for digital camera identification from its color images using image sensor noise. We first compute the two noise reference patterns by averaging the noise component from two groups of color images taken with a camera. Then we use canonical correlation analysis (CCA) to calculate the projection directions of the two noise reference patterns. Finally, we calculate...
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