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Three new oleanane-type triterpene saponins, named pithelucosides A-C (1-3), together with two known saponins (4, 5) were isolated from the roots of Pithecellobium lucidum. The structures of the new saponins were established on the basis of extensive 1D and 2D NMR experiments and mass spectrometry and confirmed by acid and alkaline hydrolysis. Compounds 1-5(More)
Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is often compromised by the constraint that the neural network only takes the fixed-size input. To accommodate this requirement, input images need to be transformed via cropping,(More)
In this paper, the systematic design of a space-time block code is considered for a wireless communication system with multiple transmitter-receiver antennas and flat fading, in which channel state information is completely unknown. From the viewpoint of blind signal processing, a necessary and sufficient condition is given for the unique identification of(More)
To pose like a fashion model and to take professional grade photo are always two challenging tasks, especially for novice users. Pose Maker, an innovative system for pose and photo composition recommendation and synthesis, is developed in this work. Given a user-provided clothing color and gender, this system shall not only offer some suitable poses, but(More)
Capturing a professional like photo is always a challenging task, especially for novice users. This paper proposes a photography suggestion approach to assist users to take high visual quality photos with human in the scene. In this research, we first investigate a set of aesthetic composition rules and visual perception principles to construct an aesthetic(More)
The handling of twist-locks has been a heavy burden for the container industry. There have been many efforts in developing automated twist-lock handling solutions. To address this challenge, we are developing a customized mobile manipulator for twist-lock pose estimation and grasping. In this paper, we propose a 3D object recognition approach using Kernel(More)
The handling of twist-locks has been a heavy burden for the container industry. To address this challenge, we are developing a customized mobile manipulator for handling the twist-locks. In this paper, we propose a fast normal computation algorithm for depth image, which is able to use normal deviation along eight directions to extract key points for(More)
Today, mobile users are struggling with accessing overloading and unstructured social media feeds on the severely constrained mobile display. To overcome the challenges associated with browsing social media feeds on mobile devices, we are developing an innovative scheme to automatically create and synthesize the mixed social media digest (pictures, texts(More)