A \consistent checkpointing" algorithm saves a consistent view of the distributed system state on stable storage. The loss of computation upon a failure can be bounded by taking consistent checkpoints with adequate frequency. The traditional consistent checkpointing algorithms require the diierent processes to save their state at about the same time. This causes contention for the stable storag...

This study describes a 12-bit, 4K2K 60-fps CMOS image sensor capable of reducing the pixel readout rate without degrading resolution of the output images. The data reduction is done by a novel “stagger-laced” scan, which reduces the data rate by half by alternate readout of two sets of horizontal pixel pairs arranged in two complementary checkerboard patterns. For the 12-bit, 60-fps readout of ...

Rotating fan shaft system was investigated experimentally and theoretically to study its dynamic performance. The type of oil used for the bearing taken in consideration during experimental program .Three types were used, SAE 40, 50 degraded oil. During experiments, blades stagger angle changed through angles (20˚, 30˚, 40˚, 50˚). rotational speed also range (0-3000 rpm). All these parameters h...

To achieve multi-objective aerodynamics design optimization for a 1.5-stage transonic compressor, platform incorporating blade parameterization methods, BPNN surrogate model, and the NSGA-II method was developed. The stagger angle distribution of three rows selected as variable, with isentropic efficiency at new condition stall margin set goal functions. Results demonstrated that, without alter...

The field of Part of Speech (POS) tagging has made slow but steady progress during the last decade, though many of the new methods developed have not previously been applied to Swedish. I present a new system, based on the Averaged Perceptron algorithm and semi-supervised learning, that is more accurate than previous Swedish POS taggers. Furthermore, a new version of the Stockholm-Umeå Corpus i...

Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the power of the boosting framework to be applied to datasets which are too large to fit into memory. The online boosting algorithm assumes the data distribution to be independent and identically distributed (i.i.d.) and therefore has...

During the past year, our principal activity in this area was concerned with the development of a small-signal theory for the behavior of stagger-tuned klystron amplifiers, and the construction of an experimental seven-cavity amplifier. In the coming year, we shall continue the work on the experimental tube, in order to get experimental verification of the theory. The limiting gain-bandwidth pe...

This paper presents a multiple-window algorithm that combines a novel evidence based forgetting method with data prediction to handle different types of concept drift and recurrent concepts. We describe the reasoning behind the algorithm and we compare the performance with the FLORA algorithm on three different problems: the STAGGER concepts problem, a recurrent concept problem and a video surv...