in this paper, absorbing markov chain models are developed to determine the optimum process mean levels for both a single-stage and a serial two-stage production system in which items are inspected for conformity with their specification limits. when the value of the quality characteristic of an item falls below a lower limit, the item is scrapped. if it falls above an upper limit, the item is ...

Building trust relationships between peers is an important and difficult part in the security needs of P2P network without a central server. P2P reputation system has been introduced which collects locally generated peer feedbacks and aggregates them to yield global reputation scores. Most P2P applications on the Internet are unstructured, without fast hashing and searching mechanisms, how to p...

In this paper, we study short-term fairness in distributed, contention-based wireless medium access control (MAC) protocols. While most MAC protocols provide fairness among contending stations in the long term, they are not fair over shorter time scales. We rst demonstrate short-term unfairness of CSMA/CA using packet-level traces collected from an in-bulding wireless LAN network. We also analy...

the aim of this paper is to present the prediction model of the transport energy demand in iran. markov chain grey model (mcgm) is proposed to forecast the transport energy demand of iran. then it is compared with grey model (gm) and regression model. moreover, the mcgm forecasting model is used to forecast the annual gasoline demand of iran up to the year 1400. the aim of this paper is to pres...

The evolution of water and land resource carrying capacity significantly impacts optimal allocation regional sustainable development in arid regions. This study proposes a model that combines cellular automaton (CA) Markov; this aids predicting spatial changes availability. In study, taking the Jingdian Irrigation District China’s northwest region as an example, we used long-series monitoring d...