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A 57-year-old woman with refractory vasovagal syncope and a sinus pause of 6.8 seconds during tilt-table test accepted the suggestion of atrial vagal denervation. Radiofrequency pulses were delivered on positive vagal reflex sites according to the standard of heart rate (HR) drop ≥20% after high frequency stimulation (HFS). The endpoint of inexistence of HR(More)
Probabilistic Latent Semantic Analysis (PLSA) is a powerful statistical technique to analyze relation between co-occurrence data, and has wide usages in automated information processing tasks. However it involves non-trivial computation and is often difficult and time-consuming to train when the dataset is big. MapReduce is a computing framework designed by(More)
The autonomous parking system is an intelligent technology to park a car into a small space. More and more studies have addressed this issue. However, the planned path in these studies is not smooth enough. Based on Ackermann steering geometry, the car kinematic model is established in this paper, the collision possibility between car body and obstacles in(More)
Probabilistic Latent Semantic Analysis (PLSA) is a powerful statistical technique to analyze co-occurrence data, it has wide usage in information processing, ranging from information retrieval, information filtering, text processing automation, to natural language processing, and related areas. However, it has very high time and space complexity to train(More)
In order to improve the accuracy of the automatic parking system, this paper puts forward a minimum turning radius method for path planning. At first, we establishes the car kinematic model and gives out the parking process, then, the parking trajectory is planned into four stages based on the car kinematic model. Meanwhile, the starting point and(More)
The imaging remote sensing system based on unmanned airship could provide affordable, current and accurate geo-information, which plays a positive role in geological hazards and emergency response, town planning and other field recently. Using low-altitude remote sensing images collected by unmanned airship, we process and interpret the image, and then(More)
Molecular markers have become an invaluable tool in monitoring disease status particularly of leukemias, as bone marrow samples can be easily collected for analysis during all stages of disease development including diagnosis, treatment, and follow-up. Two genes that have been used as prognostic markers in acute leukemia are Wilms' tumor (WT1) and multidrug(More)
The use of good evaluation functions is essential when evolutionary algorithms are employed for clustering. The NK internal clustering validation measure is proposed for hard partitional clustering. The evaluation function is composed of N subfunctions, where N is the number of objects in the dataset. Each subfunction is influenced by a group of K+1(More)