The process scheduling, is one of the most important tasks of the operating system. One of the most common scheduling algorithms used by the most operating systems is the Round Robin method in which, the ready processes waiting in ready queue, seize the processor for a short period of time known as the quantum (or time slice) circularly. In this paper, a nonlinear programming mathematical model...

In this study, a technique called semantic self-organization is used to scale up the subsymbolic approach by allowing a network to optimally allocate frame representations from a semantic dependency graph. The resulting architecture, INSOMNet, was trained on semantic representations of the newly-released LinGO Redwoods HPSG Treebank of annotated sentences from the VerbMobil project. The results...

This paper considers the integration of assembly operations and product structure to Cellular Manufacturing System (CMS) design so that to correct the drawbacks of previous researches in the literature. For this purpose, a new mathematical model is developed which dedicates machining and assembly operations to manufacturing cells while the objective function is to minimize the intercellular mov...

This paper mainly investigates the location problem of multi-product logistics distribution centers in uncertain environment. Based on the assumption that the customers’ demands and the transportation times are uncertain variables, an uncertain programming model is constructed. On the precondition of satisfying the capacity constraint and time window constraint, the objective of the model is to...

Myelin regeneration is indispensably important for patients suffering from several central nervous system (CNS) disorders such as multiple sclerosis (MS) and spinal cord injury (SCI), because it is not only essential for restoring neurophysiology, but also protects denuded axons for secondary degeneration. Understanding the cellular and molecular mechanisms underlying remyelination is critical ...

This paper develops a two-stage stochastic program and solution procedure to optimize the selection of seismic retrofit strategies to increase the resilience of electric power systems to earthquake hazards. The model explicitly considers the range of earthquake events that are possible and, for each, an approximation to the distribution of damage that is experienced. This is important because e...

We introduce the opinion-based entity profiling task, understood as the automatic grouping of equivalent or very similar online opinions (both positive and negative) about an entity. This is a highly practical problem that arises in the context of online reputation management, but it has not been directly addressed by any Natural Language Processing evaluation campaign or specific benchmarking ...

In today’s economy, the role and value of knowledge as the last competitive advantage has been suggested and the Knowledge Management (KM) concept has emerged and received great attention. A big part in KM is about managing the way knowledge flows in and between organizations i.e., managing Knowledge Sharing (KS). While technology admittedly facilitates KS, the success of KM efforts still depen...