the main purpose of this study was to estimate the market demand of tractor stock in africa, west asia and other target markets for iran manufactured tractors. box and jenkins, and exponential smoothing methods were applied, using data from 1961 to 2006. results indicated that demand for tractor stock in the target markets will be approximately 533 thousand sets in 2012 and consequently the ann...

the medium density fiberboard (mdf) market demand was investigated during the years from 2004 to 2013 in iran. estimation of mdf demand was made by exponential smoothing method by the year 2018. the insight into the level of demand that might exist by the year 2013 was obtained by reviewing the production, import, export, and consumption of mdf on the iran. the results show that the consumption...

Demands of customers for products and of the production for parts are being forecasted quite often in companies. The results are used extensively within the operational production planning and control by IT Systems like the SAP system. Hereby preferably methods based on exponential smoothing are being applied. Especially, in industrial practice it is expected that the pattern of the data change...

This paper presents a novel framework for speech-driven gesture production, applicable to virtual agents enhance human-computer interaction. Specifically, we extend recent deep-learning-based, data-driven methods generation by incorporating representation learning. Our model takes speech as input and produces gestures output, in the form of sequence 3D coordinates. We provide an analysis differ...

research interests have been focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer applications. here, sequencing approaches of the mixed- model just-in-time production systems is...

This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...