Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumptions, so applying GEP to positive pathogens prediction is desirable. However, traditional time-adjacent sliding window may not be suitable for GEP evolving accurate prediction model. The main...

This paper revisits the “sliding window” notion commonly encountered in communication protocols and applies it to the round numbers of round-based asynchronous protocols. This approach is novel. To illustrate its benefits, the paper presents an original weak failure detector-based consensus protocol that allows each process to be simultaneously involved in several rounds. The rounds in which a ...

In this paper, we are interested in a special class of automata, called scanners. These machines can be considered as a model for computations that require only “local” information. Informally, a scanner is an automaton equipped with a finite memory and a “sliding” window of a fixed length. In a typical computation, the sliding window is moved from left to right on the input, so that the scanne...

SUMMARY A Perl utility called SCANMS was written that operates on parametric bootstrap data generated by Hudson's simulator MS. SCANMS simulates sliding window analysis of Tajima's D or Fu and Li's D(*) or F(*) over the replicates and generates the empirical joint distribution of window minima and maxima. This distribution may then be used to calculate achieved significance values or significan...

We present an approach for deformable 3D surface reconstruction using laparoscopic monocular video data that is based on breaking down the nonrigid reconstruction problem into a sequence of temporally-localised rigid reconstructions. Our main contribution, the Rigid Sliding Window algorithm provides a means to achieve this whereby Rigid Shapefrom-Motion is performed over a sliding window that a...

The conventional sliding window (CSW) method has long been used in video segmentation for its adaptive thresholding technique. A hard cut is detected based on the ratio between the current feature value and its local neighborhood in the sliding window. Yet it has a relatively high rate of false alarm and missed cuts. This paper proposes an improved sliding window method which employs multi adap...

To ensure the Quality of Service (QoS) of the high-priority requests, the paper proposes a Congestion Control Algorithm of Multi-Priority (CCAMP) which differentiates the QoS according to the priorities, CCAMP reserves queue buffer for the high-priority packets by dropping the low-priority packets in a certain probability. Moreover, the paper presents an improved EDF (Earliest Deadline First) s...

In order to detect outliers in temperature time series data for improving data quality and decision-making quality related to design and operation, we proposed an algorithm based on sliding window prediction. Firstly, the time series are segmented based on the sliding window. Then, the prediction model is established based on the history data to predict the future value. If the difference betwe...

The m-ary method for computing x E partitions the bits of the integer E into words of constant length, and then performs as many multiplications as there are nonzero words. Variable length partitioning strategies have been suggested to reduce the number of nonzero words, and thus, the total numb e r o f m ultiplications. Algorithms for exponentiation using such partitioning strategies are terme...

We present improvements to algorithms for efficient exponentiation. The fractional window technique is a generalization of the sliding window and window NAF approach; it can be used to improve performance in devices with limited storage. Window NAF splitting is an efficient technique for exponentiation with precomputation for fixed bases in groups where inversion is easy (e.g. elliptic curves).