MadPad is a networked audiovisual sample station for mobile devices. Twelve short video clips are loaded onto the screen in a grid and playback is triggered by tapping anywhere on the clip. This is similar to tapping the pads of an audio sample station, but extends that interaction to add visual sampling. Clips can be shot on-the-fly with a cameraenabled mobile device and loaded into the player...

The design and implementation of a cross-coupling motion controller for a differential-drive mobile robot is described here. A new concept, the most significant error, is introduced as the control design objective. Cross-coupling control directly minimizes the most significant error by coordinating the motion of the two drive wheels. The cross-coupling controller has excellent disturbance rejec...

With the arrival of partial reconfiguration technology, modern FPGAs support tasks that can be loaded in (removed from) the FPGA individually without interrupting other tasks already running on the same FPGA. Many online task placement algorithms designed for such partially reconfigurable systems have been proposed to provide efficient and fast task placement. In these algorithms, the resource ...

In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed. Catmull-Rom Spline algorithm for image zooming was reformed into SIMD (Single instruction, multiple data) mode according to CUDA programming model. Re-sampling of each pixel was completed by a GPU thread. Hence, time-consuming re-sampling procedure of the whole zooming process were handled by p...

In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of noisy and borderline examples from the minority class on the classifier performance. Results showed that if data was sufficiently disturbed by these factors, then the focused re-sampling methods – NCR and our SPIDER2 ...

We introduce the use of various projection functions in the analysis of stereoscopic depth sensors. Through these methods, we are able to design stereo systems which are not bound by traditional quadratic depth error. Additionally, we demonstrate how existing correspondence algorithms can be modified to handle these lens designs. In addition, we can construct lens projection models which are mo...

Aimed to problem that particles exist degradation in particle filter (PF) algorithm for target tracking which is used in Wireless Sensor Networks, a new particle filter target tracking algorithm (GPF) based on genetic algorithm was proposed in this paper. First, based on the description of the PF algorithm, the factors that affect the degradation were analyzed, which were importance function an...

Composition vector trees (CVTrees) are inferred from whole-genome data by an alignment-free and parameter-free method. The agreement of these trees with the corresponding taxonomy provides an objective justification of the inferred phylogeny In this work, we show the stability and self-consistency of CVTrees by performing bootstrap and jackknife re-sampling tests adapted to this alignment-free ...

Grassland and shrubland birds are declining globally due in part to anthropogenic habitat modification. Because population performance of these species is also influenced by non-anthropogenic factors, it is important to incorporate all relevant ecological drivers into demographic models. We used design-based sampling and occupancy models to test relationships of environmental factors that influ...