Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high fault prone metrical data are much scattered and multi-centers can represent the whole dataset better, we used artificial immune network (aiNet) algorithm to extract and simplify ...

Recurrent Self Organizing Map RSOM is studied in three di erent time series prediction cases RSOM is used to cluster the series into local data sets for which corresponding local linear models are estimated RSOM includes recurrent di erence vector in each unit which allows storing con text from the past input vectors Multilayer perceptron MLP network and autoregressive AR model are used to comp...

The emergence of nontrivial collective behavior in networks of coupled chaotic maps is investigated by means of a nonlinear mutual prediction method. The resulting prediction error is used to measure the amount of information that a local unit possesses about the collective dynamics. Applications to locally and globally coupled map systems are considered. The prediction error exhibits phase tra...

The damage caused by floods is increasing worldwide, and if can be predicted, the economic human losses from reduced. A key parameter of flooding water level data, this paper proposes a prediction model using long short-term memory (LSTM) gated recurrent unit (GRU). As variables used as input meteorological including upstream downstream level, temperature, humidity, precipitation, were used. be...

The failure rate of an example avionics control unit with approximately 7.000 electronic components is calculated with the latest state-of-the-art prediction models FIDES Guide 2004 and RIAC-Handbook-217Plus (2006). To allow comparison of the component prediction models a standard civil avionics profile was defined and used for both calculations. Results are compared supported by analysis of th...

Background frame based video coding achieves a remarkable compress performance for surveillance video coding. In this paper, an improved Advanced Motion Vector Prediction (AMVP) scheme for surveillance video coding is proposed to make Motion Vector Prediction (MVP) more accurate when prediction unit (PU) references background (BG)-frame. Considering the correlations among the spatial PUs, the p...

Wireless sensor networks are an efficient way of reading and transmitting information through a system of controls. They are used for a variety of purposes. The signals passed between each sensing unit and the central control unit needs to be theoretically nonexistent for perfect transmission but there are many hindrances like transmission techniques and physical disturbances which cause delay....

Given a randomly drawn sample, calibration weighting can provide double protection against the selection bias resulting from unit nonresponse. This means that if either an assumed linear prediction model or an implied unit selection model holds, the resulting estimator will be asymptotically unbiased in some sense. The functional form of the selection model when using linear calibration adjustm...

understanding the variation of kernel number per unit area (kno) is an important factor in respect yield and in identifying opportunities to increase potential yield. some crop models are for dependence on kernel number prediction to yield simulation. in order to quantify the relationship between kernel number per unit area and influencing parameters (environment and non-environment-based facto...