—Because most of the procedures in defect inspection process of TFT-LCD module assembly are examined manually through human vision, cycle time estimation for this particular process is complicated and usually deviated from actual observations considerably in practice. Hence, this study would like to apply the approaches of Bayesian network, linear discriminant analysis, and logistic regression ...

The recognition and prediction of driving pattern is a prerequisite to minimize fuel consumption for plug-in hybrid electric buses with online adaptive energy management strategies. In this work, we present a methodology to develop a driving pattern prediction model from state-of-the-art technologies of cluster, evaluation, and Markov prediction based on the real-world driving speed-time data o...

The problem of prediction of a given time series is examined on the basis of recent nonlinear dynamics theories. Particular attention is devoted to forecast the amplitude and phase of one of the most common solar indicator activities, the international monthly smoothed sunspot number. It is well known that the solar cycle is very difficult to predict due to the intrinsic complexity of the relat...

Accurate prediction of machining cycle times is important in the manufacturing industry. Usually, Computer-Aided Manufacturing (CAM) software estimates using commanded feedrate from toolpath file basic kinematic settings. Typically, methods do not account for geometry or tolerance and therefore underestimate considerably. Removing need machine-specific knowledge, this paper presents a data-driv...

Prediction of the solar cycle is challenging but essential because it drives space weather. Several predictions with varying amplitudes ongoing Cycle~25 have been made. We show that an aspect Waldmeier effect (WE2), i.e., a strong positive correlation between rise rate and amplitude cycle, has physical link build-up previous cycle's polar field after its reversal. find highly correlated next cy...

Reducing software development cycle time without sacrificing quality is crucial to the continued success of most software development organizations. Software companies are investing time and money in reengineering processes incorporating improvements aimed at reducing their cycle time. Unfortunately, the impact of process improvements on the cycle time of complex software processes is not well ...

in the regulated nakdong river, algal proliferations are annually observed in some seasons, with cyanobacteria (microcystis aeruginosa) appearing in summer and diatom blooms (stephanodiscus hantzschii) in winter. this study aims to develop two ecological models forecasting future chlorophyll a at two time-steps (one-week and one-year forecasts), using recurrent neural networks tuned by genetic...

this paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. the output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (llnf) model, is useful for assessing a project status at different time horizons. being trained by a locally linear model tree (lolimot) learning algorithm, the model is int...