In this paper, a partial least square regression (PLSR) and fuzzylogic based smart decision support system (DSS) for crop-specific irrigation notification and control in precision agriculture is proposed, and this can be implemented in farm land, green-house and poly-house. The proposed DSS model continuously acquires real-time soil and environmental data using Zigbee wireless sensor network (W...

In the design of a large deployable mesh reflector, high surface accuracy is one ultimate goals since it directly determines overall performance reflector. Therefore, evaluation needed in many cases and analysis reflectors. The usually specified as root-mean-square error, which measures deviation geometry from desired working surface. this paper, methods error calculation for reflectors are rev...

in this paper, forecasting error for state tax revenues is assessed. for this purpose, using the regression equation, statistical index, and mean percent error, root mean square error, mean absolute percent error and error analysis of tile inequality coefficients are applied on anticipated revenue from taxes on legal entities, income taxes, wealth tax, taxes on imports and taxes on consumption ...

This study evaluated the accuracy of boreal forest above-ground biomass (AGB) and volume estimates obtained using airborne laser scanning (ALS) and RapidEye data in a two-phase sampling method. Linear regression-based estimation was employed using an independent validation dataset and the performance was evaluated by assessing the bias and the root mean square error (RMSE). In the phase I, ALS ...

The paper employs Artificial Neural Network (ANN) to forecast foreign exchange rate in India during 1992-2009. We used two types of data set (daily and monthly) for US dollar, British pound, euro and Japanese yen. The performance of forecasting is quantified by using various loss functions namely root mean square error (RMSE), mean absolute error (MAE), mean absolute deviation (MAD) and mean ab...

This paper presents a study and a comparison of the use of different information-theoretic measures for polygonal mesh simplification. Generalized measures from Information Theory such as Havrda–Charvát–Tsallis entropy and mutual information have been applied. These measures have been used in the error metric of a surface simplification algorithm. We demonstrate that these measures are useful f...

Does Independent Component Analysis (ICA) denature EEG signals? We applied ICA to two groups of subjects (mild Alzheimer patients and control subjects). The aim of this study was to examine whether or not the ICA method can reduce both group differences and within-subject variability. We found that ICA diminished Leave-OneOut root mean square error (RMSE) of validation (from 0.32 to 0.28), indi...

The temporal prediction of the solar radiation is very important for the operation of any solar energy system technology and completing data set. Based on meteorological parameters, the artificial neural network (ANN) can bring a technical solution for the prediction problems. In this paper, we developed an ANN for the south Tunisian climate to predict global solar radiation. Five years of reco...