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This paper develops an analytical model for analyzing the access performance of the IEEE 802.11p EDCA mechanism. A 2-D Markov chain is first constructed to describe the backoff procedure of an AC queue and establish a relationship between the transmission probability and collision probability of the AC queue. Then a 1-D infinite discrete-time Markov chain is constructed to describe the contention...
The field of learning analytics has the potential to enable education institutions to increase their understanding of their students' learning needs and to use that understanding to positively influence student learning and progression. Analysis of data relating to students and their engagement with their learning is the foundation of this process. In this work we investigate the database of learners'...
In this paper we propose three ICTMC (Interval Continous-Time Markov Chain) algorithms to improve simulation when significant variabilities exist. The ICTMC models takes into account the effects of variabilities in exponential transition rates represented by intervals. A case study is presented doing a comparision between interval steady state probabilities obtained from interval linear systems of...
Service and Buffer Management techniques can be used to ensure Quality of Service (QoS) for different traffic flows according to some specific policies. In this study, a single buffer queuing system is considered to model single and multi-channel, homogeneous wireless network systems such as wireless local area networks (WLANs) and cellular networks. These systems are now being used to carry both...
Cognitive network is a new approach to solve self-management of complex heterogeneous network, and its model and analysis method are key problems to be solved. a formal modeling and analysis method for cognitive network is proposed based on stochastic process algebra. Firstly, basic concept of PEPA is introduced. then system behaviors are abstracted combining with cognitive essence, and formal models...
In this paper, we provides a simple and accurate analysis by Markov chain modeling to evaluate the IEEE 802.11 DCF performance in the presence of capture effect. We extend the Bianchi's multidimensional Markov chain analytical model of IEE 802.11 DCF to characterize the behavior of DCF considering capture effect and packet retransmission limits. We compare the NS-2 simulation results with the derived...
We propose new and original models to trace the game and assess the quality of an execution. The models are intended to serve as a logical adapter between mostly unique tennis techniques and pragmatic approach to achieve the best performance outcome. The potential of Hawkeye TM technology can be discovered through the models and utilised in a tennis player development.
Now the number of disks in Mass Storage System is on the increase, and Hard disk drive failure already is not small probability events. In mass storage system RAID technique commonly used to prevent a disk failure. RAID can save data and check data, when a disk becomes a failure disk, the lost data in the disk can be recovered through fine data and check data. For RAID5, when a disk is recovering,...
The modern communication network is a kind of large scale and complex system. It is a novel direction to build the mathematical model for communication network using the advanced control theory and methods. In this paper, Markov process is used to build the change behavior of the communication network. The key of the modeling is how to classify the states of the network according to different responses...
Vehicular Ad Hoc Networks (VANETs) and their diverse applications experience growing interest in both academic and industry. Different types of traffic packets delivered through vehicle-to-vehicle and vehicle-to-infrastructure communications are intended to improve passenger safety and comfort. In this paper, we propose a multiple priority supported Medium Access Control (MAC) protocol for VANETs...
Analytical modeling plays a crucial role in the analysis and design of computer systems. In order to improve the efficiency of coal mine emergency rescue systems and correlate the coal mine emergency plan with emergency rescue closely, it's necessary to deeply analyze the process of emergency rescue and systematic modeling. As Stochastic Petri Net represents a powerful paradigm, widely used for such...
This study illustrates the importance of assessing and accounting for time heterogeneity in longitudinal social network analysis. We apply the time heterogeneity model selection procedure of [1] to a dataset collected on social tie formation for university freshman in the Netherlands by [2]. Within the context of analyzing selection effects for smoking homophily to understand the implications of tobacco...
In statistical machine translation, reordering is crucial component for translation of the different languages with different word orders. Without reordering during language translation, sentences can only be translated properly into a language with similar word order. An effective reordering scheme is essential to model translation between languages with different word orders, such as SVO-languages...
A new TCN-network modeling method is presented for performance analysis in this paper. We describe the periodic scheduling algorithm of the bus administrator using OPNET Modeler. The time distribution occupied by master frame and slave frame is obtained in order to verify the reliability of the algorithm. Packet throughput and time latency characteristics are simulated and analyzed under different...
This paper sets up a DSS for faculty management and designs a model base for the system, which is based on the status of faculty management and the faculty information of college. Models of the system, such as teacher demand projections, teacher own quantity forecasting, student enrollment projections, and teacher classification structure prediction is designed by using of grey systems, operations...
This paper sets up a DSS for faculty management on OA system, which is based on the status of faculty management and the faculty information of universities. The model of faculty total forecast is set up by gray system, and the model of classified forecast is set up by Markov model, and the design method is explained in this paper. This system has a good forecast precision by experience.
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