A number of techniques currently in use for predicting solar activity on a solar cycle timescale are tested with historical data. Some techniques, e.g., regression and curve fitting, work well as solar activity approaches maximum and provide a month-by-month description of future activity, while others, e.g., geomagnetic precursors, work well near solar minimum but only provide an estimate of t...

Dynamic branch predictors are popular because they can deliver accurate branch prediction without changes to the instruction set architecture or pre-existing binaries. However, to achieve the desiredprediction accuracy, existing dynamic branch predictors require considerable amounts of hardware to minimize the integerence effects due to aliasing in the prediction tables. We propose a new dynami...

The temporal behavior of the sunspot cycles 12–22, as described by quarterly mean values of sunspot areas, can be represented by a single function containing only two parameters: the starting time and the amplitude of a cycle. The parameters are determined for the more recent 11 sunspot cycles and examined for any predictable behavior. As a sunspot cycle progresses, the amplitude parameter can ...

Modern micro-architectures employ superscalar techniques to enhance system performance. Since the superscalar microprocessors must fetch at least one instruction cache line at a time to support high issue rate and large amount speculative executions. There are cases that multiple branches are often encountered in one cycle. And in practical implementation this would cause serious problem while ...

Based on the critical plane approach, a simple and efficient multiaxial fatigue damage parameter with no additional material constants is proposed for life prediction under uniaxial/multiaxial proportional and/or non-proportional loadings for titanium alloy TC4 and nickel-based superalloy GH4169. Moreover, two modified Ince-Glinka fatigue damage parameters are put forward and evaluated under di...

when the degree of saturation at intersection approaches one, webster’s optimum cycle length equation becomes inapplicable, because the cycle length will becomes very big when the degree of saturation approaches one and will be fully unrealistic when the degree of saturation becomes greater than one. this is not a problem for hcm2000 method. but optimum cycle length calculation in this method h...

background and objectives: survival models are statistical technique to estimate or predict the overall time up to specific events. prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. the aim of this study is using parametric models to determine the factors influencing predicted sur...

The purpose of the presented study was to evaluate the performance of a novel contact-free under-the-mattress sensor in prediction of women's fertile window (FW), at home environment. 30 normal-ovulatory women at the age of 22-40 years took part in the study. Heart rate, heart rate variability, and respiration rate values were measured during a period of 3-6 months. These measurements were reco...

Financial distress prediction (FDP) has always been an important issue in the business and financial management. This research proposed a novel multiple classifier ensemble model based on firm life cycle and Choquet integral for FDP, named MCELCCh-FDP, as a new approach to tackle with financial distress. Empirical study based on Chinese listed companies’ real data is conducted, and the results ...