scholarly journals Modeling in the OMNET ++ environment of connection processes in Wi-Fi networks

Author(s):  
A.М. Заяц ◽  
С.П. Хабаров

Предложен подход к разработке в среде OMNeT++ INET простейшей имитационной модели инфраструктурного режима функционирования Wi-Fi сети, который позволяет проводить подробный анализ функционирования таких сетей, а также строить и анализировать временные диаграммы взаимодействия всех элементов сети. Разработанную модель можно использовать как базовую для формирования более сложных моделей с произвольным числом мобильных клиентов, позволяя определять необходимое количество точек доступа и мест их размещения для обеспечения полноценного покрытия зоны мониторинга лесной территории. An approach to the development in the OMNeT ++ INET environment of the simplest simulation model of the infrastructure mode of Wi-Fi network operation is proposed, which allows a detailed analysis of the functioning of such networks, as well as to build and analyze the time diagram of the interaction of all network elements. The developed model can be used as a base for the formation of more complex models with an arbitrary number of mobile clients, allowing you to determine the required number of access points and their locations to ensure full coverage of the monitoring area of the forest area.

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 275
Author(s):  
Yachen Shen ◽  
Jianping Chen ◽  
Qiming Fu ◽  
Hongjie Wu ◽  
Yunzhe Wang ◽  
...  

District heating networks make up an important public energy service, in which leakage is the main problem affecting the safety of pipeline network operation. This paper proposes a Leakage Fault Detection (LFD) method based on the Linear Upper Confidence Bound (LinUCB) which is used for arm selection in the Contextual Bandit (CB) algorithm. With data collected from end-users’ pressure and flow information in the simulation model, the LinUCB method is adopted to locate the leakage faults. Firstly, we use a hydraulic simulation model to simulate all failure conditions that can occur in the network, and these change rate vectors of observed data form a dataset. Secondly, the LinUCB method is used to train an agent for the arm selection, and the outcome of arm selection is the leaking pipe label. Thirdly, the experiment results show that this method can detect the leaking pipe accurately and effectively. Furthermore, it allows operators to evaluate the system performance, supports troubleshooting of decision mechanisms, and provides guidance in the arrangement of maintenance.


Author(s):  
Alexander J. Stimpson ◽  
Jason C. Ryan ◽  
Mary L. Cummings

The proposed transition to single-pilot operations (SPO) in commercial and military aircraft has motivated the development of advanced autonomy systems. However, a detailed analysis of the impact of advanced autonomy on pilot workload through various phases of flight and contingency scenarios has not been conducted. To this end, this paper presents the development of the Pilot-Autonomy Workload Simulation (PAWS), a discrete event simulation model that allows the investigation of pilot workload under a variety of advanced autonomy capabilities and scenarios. Initial utilization results from PAWS of nominal and off-nominal point-to-point missions demonstrate that the workload for a single pilot assisted by advanced autonomy varies considerably over different phases of flight and various contingencies. These results suggest that advanced autonomy to offset pilot workload is not needed for low-workload phases, but could be critical during periods of high workload.


Author(s):  
I.N. Chepko ◽  
S.A. Serebryanskiy ◽  
D.V. Bogomolov ◽  
M.V. Trofimchuk ◽  
I.V. Gerasimov

The paper focuses on the main components of the logistics planning process and justifies the connection between the qualitative planning of the required number of units and the availability factor of aircraft. We consider the potential of simulation modeling as applied to the study of the complex systems behavior, and substantiate the application of such modeling in the inventory planning and control system for the operation of state aircraft. It was found that the availability factor, the health coefficient and the cost of purchasing spare parts can serve as efficiency criteria. The increased aircraft availability or serviceability is achieved by minimizing downtime due to the lack of spare parts. In our research we describe the simulation model of inventory stock usage and test the model for aircraft operating as part of an aviation regiment. The simulation model showed almost complete coincidence with the results of an analytical model of a queuing system. This means that when planning material and technical support, on the basis of this simulation model, it is possible to build more complex models for analyzing multi-inventory stocks without applying a complex mathematical apparatus. The model can be used as a tool for planning the required number of units for the operation of state aircraft.


2012 ◽  
Vol 215-216 ◽  
pp. 721-725
Author(s):  
Tong Jian Wang ◽  
Chuan Xiang Lv ◽  
Wei Chen ◽  
Bo Bo Xi

Detailed analysis of the mechanism of truck crane, establishes a co-simulation model of the telescopic system with the software of AMESim and Virtual.Lab motion, and conducts a serious of experiments. The performance of Truck crane telescopic system is learned through the comparative analysis of the simulations and experiments. The result shows that this co-simulation can simulate the actual work of the telescopic system well.


2012 ◽  
Vol 516-517 ◽  
pp. 1816-1821
Author(s):  
Hong Li Wei ◽  
Zheng Chen ◽  
Yong Qing Wei

Three-level inverter SVPWM control process and algorithm are detailed analysis in this article, and put forward a new algorithm to reduce the amount of computation, establishment of three-level inverter simulation model, through analysis, validation the based of SVPWM control of three level inverter can overcome many disadvantages of the traditional two level inverter in high power transform, has extensive practical value.


Author(s):  
Billy Irwin

Abstract Purpose: This article discusses impaired prosody production subsequent to traumatic brain injury (TBI). Prosody may affect naturalness and intelligibility of speech significantly, often for the long term, and TBI may result in a variety of impairments. Method: Intonation, rate, and stress production are discussed in terms of the perceptual, physiological, and acoustic characteristics associated with TBI. Results and Conclusions: All aspects of prosodic production are susceptible to the effects of damage resulting from TBI. There are commonly associated prosodic impairments; however, individual variations in specific aspects of prosody require detailed analysis.


1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN VAN DER HOEF ◽  
PAUL MADDEN

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.


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