作者：
Ivanov, DonatSouthern Fed Univ
Acad Kalyaev Sci Res Inst Multiprocessor Comp Sys 2 Chekhov StGSP-284 Taganrog 347928 Russia
In this paper, we consider the integration of intelligent mobile robots by various designs in a coalition that together solve a common group goal, consisting of a set of individual tasks, each of which is available to...
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ISBN:
(纸本)9783030018214
In this paper, we consider the integration of intelligent mobile robots by various designs in a coalition that together solve a common group goal, consisting of a set of individual tasks, each of which is available to some single robots of the coalition. A general approach is proposed for control such coalitions of robots, solving the problem of information exchange, integrating information about the environment from onboard sensor systems.of robots from the group, planning the actions of the coalition robots. The problem of forming a mobile reconfigured distributed artificial neural network is considered. A generalized algorithm for deploying such a network is proposed. A modification of the "method of spheres" for planning the actions of the coalition robots solving the formation task is proposed. That modification is necessary for the deployment of a mobile re-configurable distributed artificial neural network in a decentralized control strategy and limited communications is proposed. The results of computer simulation of the solution of the formation task in a group of quadrotors for deployment of an artificial neural network are presented.
distributedsystems.need to be used efficiently in order to achieve good performance. Particularly important in these systems.are resource allocation and scheduling. In this paper we study the scheduling of complex wo...
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The proceedings contain 6 papers. The special focus in this conference is on Edge computing. The topics include: Energy-aware capacity provisioning and resource allocation in edge computingsystems.stackelberg game-th...
ISBN:
(纸本)9783030233730
The proceedings contain 6 papers. The special focus in this conference is on Edge computing. The topics include: Energy-aware capacity provisioning and resource allocation in edge computingsystems.stackelberg game-theoretic spectrum allocation for QoE-centric wireless multimedia communications;intrusion detection at the network edge: Solutions, limitations, and future directions;volunteer cloud as an edge computing enabler.
Blockchain is a form of a distributed storage system that stores a chronological sequence of transactions in a tamper-evident manner. Due to the decentralized trust ecosystem in blockchain, various industries have ado...
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The 3rd ACM Workshop on Millimeter-Wave Wireless Networks and Sensing systems.(mmNets'19) is focused on the design and implementation of new millimeter-wave (mmWave) protocols and systems.that can enable multi-Gbp...
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ISBN:
(纸本)9781450361699
The 3rd ACM Workshop on Millimeter-Wave Wireless Networks and Sensing systems.(mmNets'19) is focused on the design and implementation of new millimeter-wave (mmWave) protocols and systems.that can enable multi-Gbps wireless connectivity for 5G-and-beyond cellular systems.and wireless LANs, as well as new wireless sensing and imaging systems. The goal of the mmNets'19 workshop is to bring together researchers from mmWave hardware, communication and signal processing, wireless networking, and mobile applications to set the future research agenda of mmWave systems. and present innovative ideas that will help realize the vision of extremely high data rate wireless networks and novel advanced sensing applications. The workshop will serve as a platform for both academia and industry to identify key challenges, present solutions and advance the field of mmWave technology.
The proceedings contain 79 papers. The special focus in this conference is on Industrial, Engineering and Other Applications of Applied Intelligent systems. The topics include: A fast algorithm for mining closed inter...
ISBN:
(纸本)9783030557881
The proceedings contain 79 papers. The special focus in this conference is on Industrial, Engineering and Other Applications of Applied Intelligent systems. The topics include: A fast algorithm for mining closed inter-transaction patterns;tke: Mining top-k frequent episodes;tku-ce: Cross-entropy method for mining top-k high utility itemsets;mining cross-level high utility itemsets;efficient mining of pareto-front high expected utility patterns;maintenance of prelarge high average-utility patterns in incremental databases;development and research of a terminal controller for marine robots;a machine learning approach for classifying movement styles based on uhf-rfid detections;process decomposition and test selection for distributed fault diagnosis;managing situations with high number of elements in group decision making;optimal trajectory tracking control for a uav based on linearized dynamic error;non-linear control of aerial manipulator robots based on numerical methods;preface;question generation through transfer learning;non-linear 3D visual control for an unmanned aerial vehicle;construction and control aerial manipulator robot;conmerge – arbitration of constraint-based knowledge bases;a systematic model to model transformation for knowledge-based planning generation problems;mathematical expression retrieval in pdfs from the web using mathematical term queries;automatic identification of account sharing for video streaming services;a model for predicting terrorist network lethality and cohesiveness;s2rscs: An efficient scientific submission recommendation system for computer science;improved grey model by dragonfly algorithm for chinese tourism demand forecasting;variable transformation to a 2×2 Domain Space for Edge Matching Puzzles;kider: Knowledge-infused document embedding representation for text categorization;machine learning for water supply supervision.
The volume of spatial data increases at a staggering rate. This tutorial comprehensively studies how existing works extend Apache Spark to uphold massive-scale spatial data. During this 1.5 hour tutorial, we first pro...
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ISBN:
(纸本)9781538674741
The volume of spatial data increases at a staggering rate. This tutorial comprehensively studies how existing works extend Apache Spark to uphold massive-scale spatial data. During this 1.5 hour tutorial, we first provide a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents the common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third, fourth and fifth sections then discuss the ongoing efforts and experience in spatial temporal data, spatial data analytics and streaming spatial data, respectively. The sixth part finally concludes this tutorial to help the audience better grasp the overall content and points out future research directions.
In this paper, we propose a new Decomposition-Coordination Method (DCM) to solve the nonlinear problem of optimal path planning, for autonomous Unmanned Aerial Vehicle (UAV) in a dynamic environment. The main objectiv...
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ISBN:
(纸本)9783030451820;9783030451837
In this paper, we propose a new Decomposition-Coordination Method (DCM) to solve the nonlinear problem of optimal path planning, for autonomous Unmanned Aerial Vehicle (UAV) in a dynamic environment. The main objective of this work is to enable safe autonomous navigation to the UAV. Our algorithm of decomposition-coordination computes initially an optimal path leading to the desired position, and according to the information supplied by a deciding unit, the UAV can predict the potential collisions, and avoid them by computing new collision-free paths if needed, allowing more reactivity to the UAV. This approach consists of first, choosing a suitable mathematical model that depicts the dynamics of the UAV, to which we associate the objective functions to end up with a multi-objective optimization problem. We proceed then to the resolution of the nonlinear system, by subdividing it into a set of smaller interconnected subsystems. The DCM is then used to achieve a local treatment of the non-linearity and reduce the processing time, where each subsystem is split between two levels for parallel processing, and the coordination is ensured after the resolution of the system using the method of Lagrange multipliers. We study as well the convergence and the stability of the algorithm, then we present the results of our simulation on Matlab to corroborate the potential of this theoretical method.
In Mobile Cyber-physical system (CPS) is a popular research field in recent years. It aims to control and monitor mobile devices in complex and real-time scenes, and provide people with convenience and economy by usin...
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ISBN:
(纸本)9781450371926
In Mobile Cyber-physical system (CPS) is a popular research field in recent years. It aims to control and monitor mobile devices in complex and real-time scenes, and provide people with convenience and economy by using intelligent applications. The scenes in mobile CPS have close relationships with everyone's life and it has pervasive effect on people's life anytime and anywhere. In the paper, we focus on the intelligent transportation systems.(ITS) in mobile CPS. Specifically, we analyse the bottlenecks in automated and autonomous vehicles and find the on-car computer is the key component for low latency and low power self-driving vehicles. We show detailed research developments on the most advanced CPU-GPU platform including four aspects, mainly putting focus on the methods to reduce latency and energy in the system. The four aspects cover reducing data transferring overhead, reducing power consumption with power-gating, optimizing warp scheduling scheme and optimizing cache performance in coprocessors. Finally, we give the prospects and development trends in the computing platform of self-driving on-car system.
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