This paper investigates demand forecast and order placement policy of a seasonal product for the retailers in an active business season. In a two-phase demand model, the market demand is uncertain, and decision-making for order placement is addressed for the second phase after observing the demand at the first phase during the active season. The model uses a Poisson process for customer demand ...

The current study tested 2 models of inhibition in 45 children with language impairment and 45 children with normally developing language; children were aged 7 to 12 years. Of interest was whether a model of inhibition as a mental-control process (i.e., executive function) or as a mental resource would more accurately reflect the relations among mental-attentional (M) capacity, inhibition, upda...

In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling. The optimal process/solvent design problem is formulated as a mixed-integer nonlinear programming model in which performance requirements of the compounds are reflected in the objectives and the constraints. A flexible or fuzzy opti...

This review aims at assessing the opportunities and challenges of creating using digital twins for process industrial systems over their life-cycle in context estimation control. The scope is, therefore, to provide a survey on mechanisms generate models machine learning (purely data-driven) automated equation-based modeling. In particular, we consider learning, validation, updating large-scale ...

Flash memory is a non-volatile storage device that offers lots of superiority features. However, it has two characteristics namely: 1) Out-place updating and 2) Cleaning process that affects its performance as an efficient storage sub-system. Both characteristics influence the access time requirement in enabling the continuity of data storing and updating. In this paper, we propose an efficient...

Unconstrained growth of synaptic activity and lack of references to synaptic depression in Hebb‟s postulate have diminished its value as a learning algorithm. The existing synaptic scaling mechanisms such as weight normalization, threshold updating, and spike time dependent plasticity have greatly contributed to address these issues in Hebb‟s postulate. However, all these mechanisms are based o...

In this paper, condition monitoring of a geared rotor system using finite element (FE) model updating and particle swarm optimization (PSO) method is onsidered. For this purpose, employing experimental data from the geared rotor system, an updated FE model is obtained. The geared rotor system under study consists of two shafts, four bearings, and two gears. To get the experimental data,  iezoel...

Nowadays the global changes process and various developments in various fields of economic, social and cultural rights at the national level have led to present the issue of religion in the country as a sub-category alongside other categories. The aim of this study is to investigate the methods of tendency to religion and effective factors on it among high school students in Andimeshk. The data...