نتایج جستجو برای: dynamic and stochastic states dss

تعداد نتایج: 16972030  

Objective(s): This study aimed to investigate the effect of Shogaol on dextran sodium sulfate (DSS)- induced ulcerative colitis (UC) in mice compared to an immune-suppressant chemotherapeutic medicine, known as 6-thioguanine (6-TG). Materials and Methods: Thirty-six adult BALB/c mice were divided into six groups: group 1 (positive control): no DSS exposure and no treatment; group 2 (negative co...

Journal: :journal of artificial intelligence and data mining 0
mohsen khosravi faculty of electrical and robotics engineering, shahrood university of technology, shahrood, iran. mahdi banejad faculty of electrical and robotics engineering, shahrood university of technology, shahrood, iran. heydar toosian shandiz faculty of electrical and robotics engineering, shahrood university of technology, shahrood, iran.

state estimation is the foundation of any control and decision making in power networks. the first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. this paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

2016
Ali R. Güner Alper Murat Ratna Babu Chinnam

We consider finding static yet robust recurring milk-run tours while dynamically routing the vehicle between site visits. The network arcs experience recurrent congestion, leading to stochastic and time-dependent travel times. Based on vehicle location, time of day, and current and projected network congestion states, we generate dynamic routing policies (DRP) for every pair of sites using stoc...

2002
Sandip Roy

In this article, an aggregate stochastic model for an Air Traffic System (ATS) is developed. Specifically, using a stochastic description of an ATS based on Poisson processes, we construct a stochastic dynamic model for aircraft counts in regions of an airspace. As an example, the developed model is used to represent Center counts in the United States ATS. We also discuss parameter determinatio...

Ali Delnavaz, Ali Hajsayedtaghiya Mohammad Ali Habibzadeh

Time-history analysis is defined as a kind of dynamic analysis increasingly used in design of structures and evaluation of existing ones. One of the important issues in the Time-history analysis is selecting earthquake records. In this case, seismic design provisions states that time histories shall have similar source mechanisms, geological and seismological features with region under study. A...

2007
Ulrich Doraszelski Kenneth L. Judd

Discrete-time stochastic games with a finite number of states have been widely applied to study the strategic interactions among forward-looking players in dynamic environments. The model as written down by Ericson & Pakes (1995), Pakes & McGuire (1994, 2001) (hereafter, EP, PM1, and PM2), the subsequent literature (e.g., Gowrisankaran 1999, Fershtman & Pakes 2000, Benkard 2004), and in standar...

Journal: :IEEE Communications Magazine 2021

Dynamic spectrum sharing (DSS) has recently attracted keen interest from regulatory bodies around the world as a key strategy to overcome scarcity in beyond 5G networks. In United States, Federal Communications Commission adopted three-tier DSS model for Citizens Broadband Radio Service (CBRS) band managed by access system (SAS) share incumbents' with commercial cellular broadband applications....

Journal: :Science China Information Sciences 2023

The sixth-generation (6G) wireless network will support ubiquitous connectivity and diversified scenarios to satisfy the requirements of various emerging applications. Full spectrum is a key enabler for 6G achieve ambitious goal Tbps-scale data rate. In this paper, we first review scenario potential plan then focus on SpectrumChain, blockchain-based dynamic spectrum-sharing (DSS) framework 6G. ...

Journal: :NeuroImage 2011
Baojuan Li Jean Daunizeau Klaas E. Stephan William D. Penny Dewen Hu Karl J. Friston

This paper is about the fitting or inversion of dynamic causal models (DCMs) of fMRI time series. It tries to establish the validity of stochastic DCMs that accommodate random fluctuations in hidden neuronal and physiological states. We compare and contrast deterministic and stochastic DCMs, which do and do not ignore random fluctuations or noise on hidden states. We then compare stochastic DCM...

2016
P. Zaraté G. Camilleri D. Kamissoko F. Amblard Nikolaos Ploskas Jason Papathanasiou Nikolaos Samaras

The Multiple Capacitated Facility Location Problem (MCFLP) is a well-known and studied in the international literature optimization problem. A web-based Decision Support System (DSS) for this problem is being implemented. The geographical information data of the enterprises' locations are usually either ignored by the modeler or entered manually in these systems. In this paper, we integrate geo...

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