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On the simulations of the limited resources queueing systems 8

On the simulations of the limited resources queueing systems

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Selected Papers of the 8th international conference "Information and Telecommunication Technologies and Mathematical modeling of High-Tech systems", ITTMM 2018

作者： Sopin, Eduard S. Samouylov, Konstantin E. Shorgin, Sergey Ya. 6 Miklukho-Maklaya st. Moscow117198 Russia Institute of Informatics Problems Federal Research Center Computer Science and Control Russian Academy of Sciences 44-2 Vavilova st. Moscow119333 Russia

Queuing systems with limited resources are widely applicable in the modelling and analysis of modern infocommunication systems. The main feature of them is that customers occupy not only a server, but also a volume of multiple resources, for the whole serving time. Processor time, memory, disc space may serve as examples of resources in a computing system, and frequency range and signal power are examples of resources in modern wireless networks. However, even under simplest assumptions on the arrival flows and service times distributions, computational algorithms still have very high complexity, since deduced formulas for the main stationary characteristics include multiple convolutions of the resource requirements distribution function. Therefore, there is absolute necessity in simulation tools for limited resources queuing systems. In the paper, we describe the general queuing system with multiple customer types and multiple limited resources, present the developed simulator and provide some simulation results for various types of arrival and serving processes. © 2018 CEUR-WS. All Rights Reserved.

关键词： Distribution functions

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Optimal multicast subgrouping in mobility-aware 5G systems: Challenges, modeling, and opportunities 12

Optimal multicast subgrouping in mobility-aware 5G systems: ...

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Selected Papers of the 12th international Workshop on Applied problems in Theory of Probabilities and Mathematical Statistics (Summer Session) in the Framework of the conference on Information and Telecommunication Technologies and Mathematical modeling of High-Tech systems, APTP+MS 2018

作者： Beschastnyi, Vitalii A. Ostrikova, Darya Yu. Zeifman, Alexander I. Gudkova, Irina. A. 6 Miklukho-Maklaya St. Moscow117198 Russia Department of Applied Mathematics Vologda State University 6 Orlova St. Vologda160000 Russia Institute of Informatics Problems Federal Research Center Computer Science and Control of the Russian Academy of Sciences 44-2 Vavilov St. Moscow119333 Russia Faculty of Electrical Engineering and Communication Brno University of Technology 3058/10 Technická Brno61600 Czech Republic

The expected growth in the mobile video (including streaming video, video downloading, conferencing, etc.) now is the key driver for rapid development of 5G wireless network technologies. This paradigm forces wireless networks to manage their resources as effectively as possible. One of the most appropriate solutions for video traffic that may provide the sufficient spectral efficiency is multicasting. Multicast sessions allows a group of users to simultaneously access the same multimedia content with the same QoE parameters. In this paper we consider different methods of multicast subgrouping. An analytical framework in the from of a queuing network is proposed to study the network performance, and a comparative study of network performance metrics under different user movement scenarios is presented. Copyright © 2018 for the individual papers by the papers' authors.

关键词： Multicasting

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Supporting efficient execution of many-task applications with everest 8

Supporting efficient execution of many-task applications wit...

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Selected Papers of the 8th international conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018

作者： Sukhoroslov, O.V. Centre for Distributed Computing Institute for Information Transmission Problems Bolshoy Karetny Per. 19 Build. 1 Moscow127051 Russia

Distributed computing systems are widely used for execution of loosely coupled many-task applications. There are two important classes of such applications. Bag-of-tasks applications, e.g., parameter sweeps or Monte Carlo simulations, represent a set of independent tasks. Workflows, which are used for automation of complex computational and data processing pipelines, consist of multiple tasks with control or data dependencies. The paper discusses the common problems related to the efficient execution of such applications on distributed computing resources and the relevant solutions implemented within the Everest platform. © 2018 Oleg V. Sukhoroslov.

关键词： Monte Carlo methods

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Preconditioning of conjugate gradient iterations in interior point MPC method

Preconditioning of conjugate gradient iterations in interior...

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6th international-Federation-of-Automatic-control (IFAC) conference on Nonlinear-Model-Predictive-control (NMPC)

作者： Malyshev, Alexander Quirynen, Rien Knyazev, Andrew Univ Bergen Dept Math Postbox 8700 N-5020 Bergen Norway Mitsubishi Elect Res Labs 201 Broadway8th Floor Cambridge MA 02139 USA

There are several efficient direct solvers for structured systems of linear equations defining search directions in primal-dual interior point methods applied to constrained model predictive control problems. We propose reusing matrix decompositions of direct solvers as preconditioners in Krylov-subspace methods applied to subsequent iterations of the interior point method, which results in at least halving its asymptotic computational complexity. We also analyze sensitivity of direct solvers to the regularization parameters. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： model predictive control interior point preconditioning conjugate gradient

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Adaptive PI controller for Slip controlled Belt Continuously Variable Transmission

Adaptive PI Controller for Slip controlled Belt Continuously...

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3rd IFAC conference on Advances in Proportional-Integral-Derivative control (PID)

作者： Verbelen, Florian Haemers, Michiel De Viaene, Jasper Derammelaere, Stijn Stockman, Kurt Sergeant, Peter Univ Ghent Dept Elect Energy Met Mech Construct & Syst Ghent Belgium Univ Antwerp Dept Electromech Op3Mech Antwerp Belgium EEDT Partner Flanders Make Ghent Belgium

The control of slip in a belt Continuously Variable Transmission (CVT) has been the subject of many research papers. Optimal control of the belt CVT is of major importance for the efficiency as demonstrated in literature. The challenge in optimizing that efficiency is in the reduction of the necessary clamping forces while the stability of the variable transmission is maintained. Although these problems have already been tackled to a certain extent, mostly fairly complex controllers are proposed. The goal of this paper is to propose a straightforward though effective method to control slip. The main idea of the paper is to use linearized equations of the slip dynamics to update the controller parameters in function of the operating point. This approach allows to reduce the highly nonlinear system to a first order transfer function which is easily controlled with a PI controller. Results based on extensive simulations show that the controller is robust against torque disturbances and speed ratio variations. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Adaptive control PI controllers mechanical systems dynamic models

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Proceedings - SPE international Symposium on Formation Damage control

Proceedings - SPE International Symposium on Formation Damag...

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SPE international conference and Exhibition on Formation Damage control 2018

The proceedings contain 93 papers. The topics discussed include: causes and mitigation of completion fluids-induced formation damage in high temperature gas wells;chelate based acidizing fluid provides HSE advantages in successful North Sea application;controlling proppant wettability leads to increase flowback recovery and flow in fracpacks;determination of maximum allowable safe core retrieval rates;development of environmentally friendly epoxies for well conformance;dispersion-based paraffin inhibitors adsorbed in solid substrates affords long term flow assurance;dynamic flow modeling and risk mitigation enables optimized perforation design in complex well completions;effect of multi-stage hydraulic fractures on performance of naturally fractured tight oil reservoirs with bottom water;encapsulating biopolymer for control of clay and fines generation in unconventional reservoirs;evaluation of the effectiveness of matrix stimulation recipes for high CO2carbonate reservoirs for bypassing formation damage;field application of engineered water injection in carbonate reservoirs under permeability channeling and gravity under-ride conditions;and formation damage versus chemical performance important aspects for upscaling scale inhibitor squeeze core floods for carbonate systems.

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End to End Learning of Spiking Neural Network based on R-STDP for a Lane Keeping Vehicle

End to End Learning of Spiking Neural Network based on R-STD...

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IEEE international conference on Robotics and Automation (ICRA)

作者： Bing, Zhenshan Meschede, Claus Huang, Kai Chen, Guang Rohrbein, Florian Akl, Mahmoud Knoll, Alois Tech Univ Munich Dept Informat Munich Germany Sun Yat Sen Univ Sch Data & Comp Sci Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou Guangdong Peoples R China Tongji Univ Sch Automot Engn Shanghai Peoples R China

ISBN: (纸本)9781538630815

Learning-based methods have demonstrated clear advantages in controlling robot tasks, such as the information fusion abilities, strong robustness, and high accuracy. Meanwhile, the on-board systems of robots have limited computation and energy resources, which are contradictory with state-of-the-art learning approaches. They are either too lightweight to solve complex problems or too heavyweight to be used for mobile applications. On the other hand, training spiking neural networks (SNNs) with biological plausibility has great potentials of performing fast computation and energy efficiency. However, the lack of effective learning rules for SNNs impedes their wide usage in mobile robot applications. This paper addresses the problem by introducing an end to end learning approach of spiking neural networks for a lane keeping vehicle. We consider the reward-modulated spike-timing-dependent-plasticity (R-STDP) as a promising solution in training SNNs, since it combines the advantages of both reinforcement learning and the well-known STDP. We test our approach in three scenarios that a Pioneer robot is controlled to keep lanes based on an SNN. Specifically, the lane information is encoded by the event data from a neuromorphic vision sensor. The SNN is constructed using R-STDP synapses in an all-to-all fashion. We demonstrate the advantages of our approach in terms of the lateral localization accuracy by comparing with other state-of-the-art learning algorithms based on SNNs.

关键词： Voltage control Task analysis Robot sensing systems Training Synapses Neurons"

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modeling and control of CHP generation for greenhouse cultivation including thermal energy storage 31

Modeling and control of CHP generation for greenhouse cultiv...

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31st international conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2018

作者： Altes-Buch, Queralt Quoilin, Sylvain Lemort, Vincent University of Liege Energy System Research Unit Thermodynamics Laboratory Department of Mechanical and Aerospace Engineering Liege Belgium KU Leuven Department of Mechanical Engineering Kleinhoefstraat 4 Geel2440 Belgium

ISBN: (纸本)9789729959646

In recent decades, greenhouse energy consumption has been the object of a substantial literature. Attention has also been paid to the modeling of greenhouse climate simulation and energy sources to evaluate energy saving options. However, such models are not readily available in the literature. The goal of this work is therefore to propose an open modelling framework capable of simulating the complex interactions and energy flows relative to such systems. A detailed dynamic model of a greenhouse describing the indoor climate and the heating system components was implemented. A dynamic tomato crop yield model was also implemented to account for the effects of the indoor climate on the harvested dry matter. The models are written in the Modelica language, are released open-source and are run within the Dymola simulation platform. The use of the proposed simulation platform is then illustrated for a particular case. The limited electrical load of greenhouses implies an excess of electricity generation when using CHP units, which have a power-to-heat ratio close to one. In this work, the addition of a heat pump is proposed to foster electrical self-consumption. A control strategy is designed to optimize the operational cost of the system. The system includes thermal energy storage, which acts as a buffer and allows minimizing the electricity sold back to the grid. Performance-based models for each generation unit and the storage unit are developed. Results show that the gas consumption was reduced by 25%. The heat pump generated 25% of the thermal load, the rest being generated by the CHP. Only 42% of the generated electricity is sold back to the grid, 57% being consumed by the heat pump. In conclusion, the heat pump and the thermal energy storage significantly improve the self-consumption level and thereby reduce the system operational cost by 9%. © 2018 University of Minho. All rights reserved.

关键词： Thermal energy

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Kinematics modeling and Simulation of GantryShip Welding Manipulator with Hybrid Structure 2

Kinematics Modeling and Simulation of GantryShip Welding Man...

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2018 2nd Annual international conference on Cloud Technology and Communication Engineering, CTCE 2018

作者： Guo, Zhengqiang Pan, Yuchen Yuan, Xuepeng Guangxi Colleges Universities Key Laboratory Breeding Base of Coastal Mechanical Equipment Design Manufacturing and Control Qinzhou University Qinzhou535011 China Guangxi University of Science and Technology Liuzhou545000 China

The existing gantry ship welding robot mechanism is mostly in series, which has the problems of large motion inertia at the end and joint error accumulation.A kind of ship welding robot with hybrid structure is designed. The platform control mechanism and rotary mechanism adopt the form of planar parallel mechanism, which can effectively increase the rigidity and error compensation ability of the *** the adjusting mechanism of welding torch adopts series structure and keeps the flexible output *** kinematics model of the welding actuator is established by combining the closed-loop vector method, complex vector method and D-H four-parameter *** positive solution of the mechanism is given, and the velocity and acceleration are analyzed based on *** simulation analysis, we get the workspace and kinematic characteristics curve of some components under given trajectories to verified the feasibility of the proposed mechanism. © Published under licence by IOP Publishing Ltd.

关键词： Mechanisms

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Autonomous vehicle control for lane and vehicle tracking by using deep learning via vision 6

Autonomous vehicle control for lane and vehicle tracking by ...

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6th international conference on control Engineering and Information Technology, CEIT 2018

作者： Olgun, Masum Celil Baytar, Zakir Akpolat, Kadir Metin Koray Sahingoz, Ozgur Department of Computer Engineering Istanbul Kultur University Istanbul Turkey Computer Engineering Department Istanbul Kultur University Istanbul34158 Turkey

ISBN: (纸本)9781538676417

Camera-based lane detection and vehicle tracking algorithms are one of the keystones for many autonomous systems. The navigational process of those systems is mainly focused on the output of detection algorithms. However, detection algorithms for lane detection need more pre-processing time and computational effort. They are also affected by environmental conditions and must regularly be improved. In this paper machine learning techniques and computer vision algorithms are utilized for the tasks of the lane and vehicle tracking of an autonomous vehicle control scenario. With the nature of used learning algorithm, the proposed system can handle complex image problems. The vehicle, on which we implement our algorithms, can manage to carry out the following tasks autonomously;tracking the lanes, following another vehicle, and stopping in necessary conditions. For that, one of the primary purposes is image-based lane tracking methodology by using learning algorithms. Data augmentation is applied to create diversity for the dataset. Application in this methodology has been discussed. For lane tracking Convolutional Neural Network architecture which is based on NVIDIA's PilotNet is preferred. For detecting objects and vehicles, the system is trained on the faster region-based convolutional neural network (Faster R-CNN) to identify traffic light and stop sign are by Haar Cascade Classifier. All these learning models are trained on NVIDIA GTX 1070 Graphics Processing Unit (GPU) to reduce training time. Experimental results showed that the proposed system gives a favorable result to autonomously control vehicles for lane and vehicle tracking purposes by vision. © 2018 IEEE.

关键词： Graphics processing unit

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