A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...

Appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. One type of scheduling problems is just-in-time (JIT) scheduling and in this area, motivated by JIT manufacturing, this study investigates a mathematical model for...

Bir bütünlük olarak algılanan ulus-devletler genellikle faklı etnik grupların oluşturduğu bir denge haline karşılık gelmektedir. Kültürel, dini ya da milliyet içerikli farklılık gösterebilen alt gruplar, baskın etninin devlet mekanizmasını idare edebilme yetisi çerçevesinde örtük baskı ortamında varlıklarını sürdürmektedir. Dolayısıyla söz konusu halinin sürdürülebilirliği farklı unsurların dah...

context:in this review, we discuss empirical and stoichiometric models, which have been developed recently in ssf processes and the influence of environmental conditions on the variables of these models. additionally, new studies on modeling of product formation are also mentioned. evidence acquisition:solid-state fermentation (ssf) is recognized as a cheap process for producing many valuable p...

multiphase impeller stirred tank reactors enhance mixing of reacting species used in a variety of chemical industries. these reactors have been studied based on computational fluid dynamics (cfd) that can be used in the analysis, design and scale up of these reactors. most of the researches done in this area are limited to single phase reactors, and a few remaining two phase flow investigations...

Multi-valued networks provide a simple yet expressive qualitative state based modelling approach for biological systems. In this paper we develop an abstraction theory for asynchronous multi-valued network models that allows the state space of a model to be reduced while preserving key properties of the model. The abstraction theory therefore provides a mechanism for coping with the state space...

Multi-state models of chronic disease are becoming increasingly important in medical research to describe the progression of complicated diseases. However, studies seldom observe health outcomes over long time periods. Therefore, current clinical research focuses on the secondary data analysis of the published literature to estimate a single transition probability within the entire model. Unfor...

Article history: Received: 10.04.2015. Received in revised form: 13.05.2015. Accepted: 29.05.2015. According to the diver motion characteristics, which are low speed and rapid change of direction, a multi-directional motion model is presented. Then the motion model is introduced into an interacting multiple model method, while the timevarying motion model transition probability was corrected ac...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...