The rapid moving of computing into multimedia leads computers to include special instructions to support multimedia operations, including those with RISC architectures[5,6]. Multimedia performance now becomes a pseudo-benchmark for modern processors. This paper presents such benchmark in HISC, which stands for Highlevel Instruction Set Computer [1,2]. HISC is a generalpurpose descriptor compute...

A new moving mesh method is introduced for solving time dependent partial diierential equations (PDEs) in divergence form. The method uses a cell-averaging cubic Hermite collocation discretization for the physical PDEs and a three point nite diierence discretization for the PDE which determines the moving mesh. Numerical results are presented for a selection of diicult benchmark problems, inclu...

Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which method and what parameters are optimal for any given data set. In contrast, peaks can easily be located by visual inspection of profile data on a genome browser. We thus propose a supervised machine learning approach to ChIP-seq data analysis, using annotated regions that encode an expert’s...

In this work, a two prong dynamic paging activity data analysis is considered. The rrskyline analysis" studies how similar/dissimilar is the paging activity oj different node programs in SPMD execution mode. This analysis is done by determining the rate at which different events Deem", by isolating the peaks of activity from the background, and by correlating the time of occurrence and the ampl...

The PSF of several sample arrays, including pseudo-random and circular arrays, are evaluated. The distribution of sidelobes is shown to closely follow the theoretical distribution derived in the companion paper [1]. An optimization procedure is developed that produces configurations with peak sidelobes close to the expected limit given in [1] and with a smooth progression from small peaks near ...

Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum‐based meth...

In this paper we apply model order reductions techniques to efficiently implement simultaneous model predictive control and moving horizon estimation for high dimensional chemical processes. Two model approximation schemes that both combine order reduction and linearization are employed and compared. The approach is demonstrated on a benchmark distillation column example model.

Time series of quarterly observations on Gross Domestic Product (GDP) is collected and used in this study. Forecasting results of ANNs are compared with those of the Autoregressive Integrated Moving Average (ARIMA) and regression as benchmark methods. Using Root Mean Square Error (RMSE), the empirical results show that ANN performs better than the traditional methods in forecasting GDP.

For the first time, a distributed output feedback control scheme is presented which combines distributed model predictive control with distributed moving horizon estimation. More specifically, we combine the iterative methods of sensitivity-driven distributed model predictive control (S-DMPC) with sensitivity-driven partition-based moving horizon estimation (S-PMHE). To that end, S-PMHE is exte...