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The pseudo-self-similar traffic model: application and validation

Rachid El Abdouni Khayari, Ramin Sadre, Boudewijn R. Haverkort, Alexander Ost
2004 Performance evaluation (Print)  
One such approach for a traffic model that incorporates aspects of self-similarity is the so-called pseudo self-similar traffic model.  ...  However, we recently have been able to show that these problems are fundamental to the pseudo self-similar traffic model.  ...  The work of Rachid El Abdouni Khayari and Ramin Sadre is supported by the german science foundation DFG in project HA 2966/2 ("Planung moderner Kommunikationsnetze unter Berücksichtigung realitätsgetreuer  ... 
doi:10.1016/j.peva.2003.07.010 fatcat:szsmtoloyfdtlgxi23m3wqpon4

Processor-In-the-Loop Validation of a Gradient Descent-based Model Predictive Control for Assisted Driving and Obstacles Avoidance Applications

Pierpaolo Dini, Sergio Saponara
2022 IEEE Access  
For safety-critical applications, the validation process using a model-based approach plays an increasingly important role.  ...  model describing the vehicle behaviour and the choice of the numerical algorithms selected to approximate the differential equations.  ...  Another interesting application was in [9] , where they account for the uncertainty in the traffic environment by a small number of future scenarios, which is intuitive and computationally efficient.  ... 
doi:10.1109/access.2022.3186020 fatcat:2hakxchtzbfs3jcltoxwcptt5i

Lightweight source authentication and path validation

Tiffany Hyun-Jin Kim, Cristina Basescu, Limin Jia, Soo Bum Lee, Yih-Chun Hu, Adrian Perrig
2014 Proceedings of the 2014 ACM conference on SIGCOMM - SIGCOMM '14  
Path validation. The source, intermediate routers, and the destination should be able to validate that the packet indeed traversed the path known to (or selected by) the source.  ...  In this paper, we propose lightweight, scalable, and secure protocols for shared key setup, source authentication, and path validation.  ...  self-certifying IDs as public keys [1, 23, 24, 34] , or self-validation using an anonymous service [10] .  ... 
doi:10.1145/2619239.2626323 dblp:conf/sigcomm/KimBJLHP14 fatcat:f2u6eb24bzcfrilzc323zu3xcu

Delays in IP Routers, a Markov Model [chapter]

Tadeusz Czachórski, Adam Domański, Joanna Domańska, Michele Pagano, Artur Rataj
2016 Communications in Computer and Information Science  
We use a Markov model taking into account the distribution of the size of packets and self-similarity of incoming flows to investigate their impact on the queueing delays and their dynamics.  ...  dynamically changing congestion and on the stochastic features of the flows.  ...  In numerical examples we use the validated above model to illustrate the impact of self-similarity, utilisation factor , and packet size distribution on the response time.  ... 
doi:10.1007/978-3-319-47217-1_20 fatcat:mzintik76zcg3frdjezopu5c3a

Markov models of internet traffic and a new hierarchical MMPP model

L. Muscariello, M. Mellia, M. Meo, M. Ajmone Marsan, R. Lo Cigno
2005 Computer Communications  
The interest in Markov models of Internet traffic, in spite of the impossibility to achieve true LRD or Self-Similarity, lies in the possibility of exploiting powerful analytical techniques to predict  ...  Due to its characteristics, the proposed MMPP traffic model can be used as a simple and manageable tool for IP network dimensioning, design and planning: the paper provides examples of its application  ...  In addition, the evidence of LRD and of self-similar properties in packet traffic drove many researchers to abandon the usual Markovian assumptions in favor of newer and more complex traffic models.  ... 
doi:10.1016/j.comcom.2005.02.012 fatcat:c6jghd757vecletjm6tlha5eaq

First Steps Towards Bridging Simulation and Ontology to Ease the Model Creation on the Example of Semiconductor Industry

Nour Ramzy, Christian James Martens, Shreya Singh, Thomas Ponsignon, Hans Ehm
2020 2020 Winter Simulation Conference (WSC)  
The syntax and operational semantics of Atomic (i.e., non-hierarchical) models are introduced first. Coupled (i.e., hierarchical) models are introduced to structure and couple Atomic models.  ...  All examples in the paper are presented using the language PythonPDEVS and its simulator, though this introduction is equally applicable to other DEVS implementations.  ...  ACKNOWLEDGEMENTS This work was partly funded by a PhD fellowship grant from the Research Foundation -Flanders, and partially supported by Flanders Make vzw, the strategic research centre for the manufacturing  ... 
doi:10.1109/wsc48552.2020.9384102 fatcat:crjhwkakandyfeqrp4gf2mt6um

Live-UMLRT: A Tool for Live Modeling of UML-RT Models

Mojtaba Bagherzadeh, Karim Jahed, Benoit Combemale, Juergen Dingel
2019 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)  
A subsequent code generation then produces a self-reflective program that allows changes to the model elements at runtime (through synchronization of design and runtime models).  ...  This independence is achieved with the help of a model transformation which equips the model with support for, e.g., debugging and state transfer both of which are required for live modeling.  ...  This will stop the execution (similar to a debugging breakpoint) and allow users to apply changes into the model execution.  ... 
doi:10.1109/models-c.2019.00115 dblp:conf/models/BagherzadehJCD19 fatcat:4v6dwnxodrdtjlglki3dauz6bu

A parsimonious model for the formation of oscillations in car-following models

Jorge A. Laval, Christopher S. Toth, Yi Zhou
2014 Transportation Research Part B: Methodological  
This paper shows that the formation and propagation of traffic oscillations in the absence of lane changes can be explained by the stochastic nature of drivers' acceleration processes.  ...  The model has been implemented with a single additional parameter compared to the kinematic wave model with bounded accelerations.  ...  The authors are grateful to Felipe Castrillón, Rama Chilukuri, HyunWoong Cho and Simon Berrebi for their help with the car-following experiment presented here, and to three anonymous referees whose comments  ... 
doi:10.1016/j.trb.2014.09.004 fatcat:42gians7onadhpvj75rjy4g23a

3D Environmental Perception Modeling in the Simulated Autonomous-Driving Systems

Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou
2021 Complex System Modeling and Simulation  
Self-driving vehicles require a number of tests to prevent fatal accidents and ensure their appropriate operation in the physical world.  ...  Then, we developed Multi-Sensor Fusion Perception (MSFP) model for consuming two-modal data and detecting objects in the scenes.  ...  These challenges severely hinder the practical application and development of automated vehicles in the physical world.  ... 
doi:10.23919/csms.2021.0004 fatcat:offuk7f7ezezffcrstbo7mzyhu

A Survey of VBR Video Traffic Models

Savera Tanwir, Harry Perros
2013 IEEE Communications Surveys and Tutorials  
The results show that the MMG and the wavelet-based models are suitable for both video conference and IPTV, while the DAR model is good for video conference traffic only.  ...  We have seen a phenomenal growth in video applications in the past few years.  ...  SELF-SIMILAR MODELS In this section, we review the self-similar based video models that have been proposed in the literature. A.  ... 
doi:10.1109/surv.2013.010413.00071 fatcat:uusjfngxl5fvtbdrunlci7bvuu

WIT: A Wireless Integrated Traffic Model

Arta Doci, Fatos Xhafa
2008 Mobile Information Systems  
The main building blocks of ad hoc network applications are the routing protocols, mobility, and traffic models.  ...  protocol performance metric; and, finally, (4) evaluates protocol performance under synthetic and real mobility models with integrated traffic.  ...  Traffic is likely to satisfy self-similarity property, rather then stationary distributions, due to diurnal circle; it is implemented as Weibull distribution.  ... 
doi:10.1155/2008/341498 fatcat:jls47o6ndrezjcu7rnlhybd3ly

Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation [article]

David Acuna, Jonah Philion, Sanja Fidler
2021 arXiv   pre-print
However, the domain gap between the synthetic and real data remains, raising the following important question: What are the best ways to utilize a self-driving simulator for perception tasks?  ...  Our method is easy to implement in practice as it is agnostic of the network architecture and the choice of the simulator.  ...  Figure 13 : 13 Figure 13: Traffic Model Performance is unaffected by whether or not a traffic model is used when generating synthetic data.  ... 
arXiv:2111.07971v1 fatcat:o4w7ezrp2zc75iwwlrxyypfhwu

A dynamic network loading model for anisotropic and congested pedestrian flows

Flurin S. Hänseler, William H.K. Lam, Michel Bierlaire, Gael Lederrey, Marija Nikolić
2017 Transportation Research Part B: Methodological  
We then propose an anisotropic loading model for pedestrians flows. The proposed model is calibrated on real data and applied to two real case studies.  ...  In the remainder of this paper, we first review the relevant body of literature on macroscopic modeling and empirical characterization of multi-directional pedestrian flow.  ...  Besides the explicit consideration of anisotropy, the model is designed to be easily applicable to large and complex realworld applications.  ... 
doi:10.1016/j.trb.2016.10.017 fatcat:wpfxgcn2ybdfbawis3niiznaj4

Optimum Model-Based Non-Real-Time Downlink Data Transmission in Heterogeneous DS-CDMA Cellular Networks

Keivan Navaie, Shahrokh Valaee, Ahmad Sharafat, Elvino Sousa
2007 IEEE Transactions on Wireless Communications  
the interference model is valid for a broad range of arrival rates of non-real time traffic.  ...  We use a fractional Gaussian noise (fGn) model in an appropriate time-scale to represent the self-similarity in the downlink interference.  ...  Since the self-similarity of downlink interference emanates from user traffic characteristics, the application of the proposed scheme-and possibly other radio resource control mechanisms-would not alter  ... 
doi:10.1109/lcomm.2007.05877 fatcat:f54qtyt2fjeg5mnao2ign246oi

Improving self-supervised pretraining models for epileptic seizure detection from EEG data [article]

Sudip Das, Pankaj Pandey, Krishna Prasad Miyapuram
2022 arXiv   pre-print
These issues are mitigated by Self-supervision, where we generate pseudo-labels from unlabelled data by seeing the data itself.  ...  This paper presents various self-supervision strategies to enhance the performance of a time-series based Diffusion convolution recurrent neural network (DCRNN) model.  ...  Acknowledgement We thank Science and Engineering Research Board (SERB) and PlayPower Labs for supporting the Prime Minister's Research Fellowship (PMRF) awarded to Pankaj Pandey.  ... 
arXiv:2207.06911v1 fatcat:pas7ezgqojg5dm4vjslpyxkf5m
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