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For niche recommendation, information filtering has attracted much attention from various fileds. Especially, mass diffusion based models behave prominently. Nevertheless, these models intrinsically suffer superfluous diffusion, transferring redundant preferences to the object and damaging the accuracy, diversity, and personalization of recommendation. Besides, we discover that the symmetrical diffusion...
Background To investigate the anterior lens capsule and epithelium thickness (defined as anterior lens capsular complex: ALCC) in normal Chinese subjects using spectral-domian optical coherence tomography (SD-OCT) and examine the factors that may influence the ALCC, such as age, gender, pupil diameter (PD) and signal strength index (SSI). Methods A prospective observational case series. One-hundred-thirty-four...
A novel approach to segment corneal layer interfaces using optical coherence tomography images is presented. In this paper, we performed customized edge detection for initial location of interfaces, fitting the initial interfaces to circles via customized Hough transform, and refining interfaces by employing Kalman filtering to model the horizontal projectile motion of interface boundaries. Validation...
This paper contains the development and analysis of the human motion state and the algorithm of the fall prediction based on the double foot pressure and the micro inertial MEMS sensors. The fall prediction hardware system consists of three parts, the double foot nodes and the waist node and how it was designed, which could measure the foot pressure parameters and the inertial parameters in different...
This paper presents a simplified Zero Moment Point algorithm for fall detection using inertial MEMS sensors. Based on body posture and stability judgment optimization system, we realized real-time detection and analysis of the falls. The system can be used in moving people airbag system that can prevent a major part of the induced fracture of the elderly from falls. Hardware includes the nodes that...
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