New bottom-up techniques can build silicon nanowires (dimension < 10 nm) that exhibit remarkable electronic properties, but with current assembly techniques yield very high defect and fault rates. Nanodevices built using these nanowires have static errors that can be addressed at fabrication time by testing and reconfiguration, but soft errors are problematic, with arrival rates expected to var...

abstract: in this study, al 2 o 3 /eg and tio 2 /eg nanofluids as coolants have been used in the double-tube heat exchanger. the hot solvent inlet heat exchanger must be cooled down with a specified amount. we can use nanofluids as coolants in the heat exchanger for optimization of the heat transfer area. therefore, the efficacy of nanofluids as coolants is verified. furthermore, flow rate of c...

The present study aims at developing a forecasting model to predict the next year’s air pollution concentrations in the atmosphere of Iran. In this regard, it proposes the use of ARIMA, SVR, and TSVR, as well as hybrid ARIMA-SVR and ARIMA-TSVR models, which combined the autoregressive part of the autoregressive integrated moving average (ARIMA) model with the support vector regression technique...

D espite a significant decline in the pace of economic growth in the second half of 2000, macroeconomic forecasters underpredicted real GDP growth and overpredicted the unemployment rate by a significant amount, for the fifth consecutive year. On average, real GDP forecasts were about 2 percentage points below the actual data for the 1996-2000 period, and unemployment rate forecasts about 0.5 p...

Artificial neural networks in time series prediction generally minimize a symmetric statistical error, such as the sum of squared errors, to model least squares predictors. However, applications in business elucidate that real forecasting problems contain non-symmetric errors. In inventory management the costs arising from overversus underprediction are dissimilar for errors of identical magnit...

Recent research shows that forecasting ability is an organizational distinctive competence. We propose and test a model accounting for interfirm differences in forecasting ability. After controlling for reciprocal effects, we find that two principal firm-level factors (i.e., organizational illusion of control and organizational attention) influence both bias and magnitude of errors in estimates...

In aerospace and in many other fields of engineering, it is common practice to forecast the behavior of a physical system by analyzing a mathematical model of it. If the model is accurate and the analysis is mathematically sound, forecasting from the model enables an engineer to preview the effect of a design on the physical behavior of the product. Accurate mathematical forecasting reduces the...

A method of effective planning and control of industrial facility energy consumption is offered. The method allows optimally arranging the management and full control of complex production facilities in accordance with the criteria of minimal technical and economic losses at the forecasting control. The method is based on the optimal construction of the power efficiency characteristics with the...