ion vs. Detail A key insight in building simulations is that you must always make a trade-off between simulator detail and the scope of the simulated system. Looking at some extreme cases, you cannot use the same level of abstraction when simulating the evolution of the universe on a grand scale as when simulating protein folding. You can always trade execution time for increased detail or scop...

This paper describes NESSY (NEtwork Simulation SYstem). This software tool aims to deal with the main problems in the area of performance evaluation simulation tool for communication networks. The tool provides an object oriented methodology in order to represent network components. The assembly of these components is then used for building a network model. Furthermore, the tool relies on a for...

in recent years mobile networks have expanded dramatically, compared with other wireless networks. routing protocols in these networks are designed with the assumption that there is no attacker node, so routing protocols are vulnerable to various attacks in these networks. in this paper, we review the network layer attacks and then we simulate the impact of black hole attack on ad hoc on demand...

if both reference station (rs) and navigational device in differential global positioning system (dgps) receive signals from the same satellite, rs position components error (rpce) can be used to compensate for navigational device error. this research used hybrid method for rpce prediction which was collected by a low-cost gps receiver. it is a combination of genetic algorithm (ga) computing an...

in this study, we focused on the gait of parkinson’s disease (pd) and presented a gray box model for it. we tried to present a model for basal ganglia structure in order to generate stride time interval signal in model output for healthy and pd states. because of feedback role of dopamine neurotransmitter in basal ganglia, this part is modelled by “elman network”, which is a neural network stru...

abstract one of the major factors on the amount of water resources is river flow which is so dependent to the hydrologic and meteorologic phenomena. simulation and forecasting of river flow makes the decision maker capable to effectively manage the water resources projects. so, simulation and forecasting models such as artificial neural networks (anns) are commonly used for simulation and predi...

we compare two approaches for a markovian model in flexible manufacturing systems (fmss) using monte carlo simulation. the model which is a development of fazlollahtabar and saidi-mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (agv) namely, the reliability of machines and the reliability of agvs in a multiple agv jobsho...

TP53 acts as a tumor suppressor in cancer. It induces cell cycle arrest or apoptosis in response to cellular stress and damage. p53 gene alteration could cause uncontrolled cell proliferation.In the present study, we used TP53 gene as the seed in the construction of a protein-protein functional association network to identify genes that might involve in tumorgenesis process with TP53. TP53 prot...

The Co-design is the process of generating a mixed hardware/software architecture starting from system-level model. This paper discusses the uses of SDL for the co-design of an ATM Network Interface Card (NIC). In this study, the initial specification is given in SDL. The architecture generation is made using Cosmos, a co-design tool for multiprocessor architecture. Several architectures are pr...