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In data stream clustering, it is desirable to have algorithms that are able to detect clusters of arbitrary shape, clusters that evolve over time, and clusters with noise. Existing stream data clustering algorithms are generally based on an online-offline approach: The online component captures synopsis information from the data stream (thus, overcoming(More)
Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. How to securely retrieve and audit the communicated metering data for validation testing is, however, still challenging for smart grid. In this paper, we propose a novel privacy-preserving range query (PaRQ) scheme over encrypted metering(More)
Purpose: To compare the diagnostic performances of artificial neural networks (ANNs) and multivariable logistic regression (LR) analyses for differentiating between malignant and benign lung nodules on computed tomography (CT) scans. Methods: This study evaluated 135 malignant nodules and 65 benign nodules. For each nodule, morpho-logic features (size,(More)
—Carpooling, as an effective and eco-friendly travel mode, becomes a kind of public spontaneous behavior with multiple travellers sharing a vehicle to reduce individuals' travel cost, carbon emissions and traffic congestion. Although ubiquitous network access offers great convenience for travellers to find carpools, the safety becomes a big obstacle for(More)
Notch1 is a transcription factor on the membrane and regulates various stages of neurogenesis. Recently, studies have shown that in vitro neurogenesis is enhanced by hypoxia, and there is cross-coupling between Notch and hypoxia signaling pathways in vitro. However, to date, no data have reported whether Notch1 can be regulated by hypoxia in vivo and(More)
Wireless Body Area Networks (WBANs), as a promising health-care system, can timely monitor human physiological parameters. Due to the limitation of communications, power, storage and computation in WBANs, a cloud assisted WBAN flourishes and provides more reliable, real-time, and intelligent health-care services for patients and mobile users. However , it(More)
Oxygen is vital to maintain the normal functions of almost all the organs, especially for brain which is one of the heaviest oxygen consumers in the body. The important roles of oxygen on the brain are not only reflected in the development, but also showed in the pathological processes of many cerebral diseases. In the current review, we summarized the(More)
A new method for measuring and characterizing free-living human locomotion is presented. A portable device was developed to objectively record and measure foot-ground contact information in every step for up to 24h. An artificial neural network (ANN) was developed to identify the type and intensity of locomotion. Forty subjects participated in the study.(More)
Multimedia services, smart phones and traditional online multimedia applications are enlarged to mobile users anywhere and anytime. However, the successful of multimedia services is now delayed by inherent security and privacy concerns. In this paper, we investigate the security and privacy issues of multimedia services by studying a newly emerging(More)
—In this paper, we study user profile matching with privacy-preservation in mobile social networks (MSNs) and introduce a family of novel profile matching protocols. We first propose an explicit Comparison-based Profile Matching protocol (eCPM) which runs between two parties, an initiator and a responder. The eCPM enables the initiator to obtain the(More)