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检索条件"任意字段=5th International Conference on Informatics in Control, Automation and Robotics"

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Analytical modelling and simulation of admission control scheme for non-real time services in LTE networks 29

Analytical modelling and simulation of admission control sch...

引用

29th European conference on Modelling and Simulation, ECMS 2015

作者： Gudkova, Irina A. Markova, Ekaterina V. Abaev, Pavel O. Antonova, Veronika M. Department of Applied Probability and Informatics Peoples' Friendship University of Russia Ordzhonikidze str. 3 Moscow115419 Russia Department of Communication Network and Switching Systems Moscow Technical University of Communication and Informatics Aviamotornaya str. 8 A Moscow111024 Russia

ISBN: (纸本)9780993244001

In 4th generation LTE (Long Term Evolution) and LTE-Advanced networks, there are 9 types of services, which have different service priorities and generated traffics. Depending on the combination of services with different priorities, about 200 radio admission control schemes could be developed. However, international standards have no recommendations for the construction and analysis of methods for such schemes. thereby, a need for admission control schemes development and selecting the most effective ones arises. the article proposes a scheme based on the bit rate degradation of non-real time services in proportion to the individual thresholds chosen in accordance with the network or consumer devices characteristics. A complex approach for analysing the model performance measures-blocking probability, mean data transfer time-is proposed. It is based on queuing theory via the development of a Markov model of the admission control scheme and on verifying the obtained results via simulation allowing arbitrary arrival process and file sizes. the results obtained in this paper could be used by mobile operators for 4th and 5th generation network planning to evaluate the quality of service level. © ECMS Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova (Editors).

关键词： Data transfer

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Densifying the sparse cloud simsaas: the need of a synergy among agent-directed simulation, SimSaaS and HLA 5

Densifying the sparse cloud simsaas: The need of a synergy a...

引用

5th international conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2015

作者： Azevedo, Tiago Rossetti, Rosaldo J. F. Barbosa, Jorge G. Artificial Intelligence and Computer Science Lab. Department of Informatics Engineering Faculty of Engineering University of Porto Porto Portugal

ISBN: (纸本)9789897581205

Modelling & Simulation (M&S) is broadly used in real scenarios where making physical modifications could be highly expensive. With the so-called Simulation Software-as-a-Service (SimSaaS), researchers could take advantage of the huge amount of resource that cloud computing provides. Even so, studying and analysing a problem through simulation may need several simulation tools, hence raising interoperability issues. Having this in mind, IEEE developed a standard for interoperability among simulators named High Level Architecture (HLA). Moreover, the multi-agent system approach has become recognised as a convenient approach for modelling and simulating complex systems. Despite all the recent works and acceptance of these technologies, there is still a great lack of work regarding synergies among them. this paper shows by means of a literature review this lack of work or, in other words, the sparse Cloud SimSaaS. the literature review and the resulting taxonomy are the main contributions of this paper, as they provide a research agenda illustrating future research opportunities and trends.

关键词： Interoperability

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Correction of odometry errors in a tri-wheel mobile robot

Correction of odometry errors in a tri-wheel mobile robot

引用

international conference on Methods and Models in automation and robotics

作者： Ryszard Beniak Tomasz Pyka Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

this paper presents a simple algorithm for controlling robot trajectory that accounts for the torsion angle of a castor wheel. We identify the dynamics of the castor wheel as a plant of the second order inertia and th... 详细信息

ISBN: (纸本)9781479987023

关键词： castor wheel mobile robot correction of odometry errors

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5th international conference on Sensor Systems and Software, S-CUBE 2014

5th International Conference on Sensor Systems and Software,...

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5th international conference on Sensor Systems and Software, S-CUBE 2014

ISBN: (纸本)9783319171357

the proceedings contain 13 papers. the special focus in this conference is on Sensor Systems and Software. the topics include: Design of a novel adaptive indoor air quality control for co-learning smart house;a design-led, materials based approach to human centered applications using modified dielectric electroactive polymer sensors;how to ruin sensor network performance using duplicate suppression;a open hardware wireless sensor monitoring system for human wellbeing research in ambient assisted living;artificial immune system - a new approach for the long-term data monitoring in ambient assisted living;a secure authentication and key management scheme for wireless sensor networks;a privacy-oriented human mobility simulator;a comparative analysis and a novel mobile health platform;overview of mobile sensing for special needs and a user-centric approach to building experience platforms for capturing lifestyle and wellbeing information;from silos to the IoT via one M2M, a standardized M2M service platform and decentralising internet of things aware BPMN business processes.

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Progressive co-adaptation in human-machine interaction

Progressive co-adaptation in human-machine interaction

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international conference on informatics in control, automation and robotics (ICINCO)

作者： Paolo Gallina Nicola Bellotto Massimiliano Di Luca Department of Architecture and Engineering University of Trieste Trieste Italy Lincoln Centre for Autonomous Systems University of Lincoln Lincoln U.K. Centre for Computational Neuroscience and Cognitive Robotics & School of Psychology University of Birmingham Birmingham U.K.

In this paper we discuss the concept of co-adaptation between a human operator and a machine interface and we summarize its application with emphasis on two different domains, teleoperation and assistive technology. the analysis of the literature reveals that only in a few cases the possibility of a temporal evolution of the co-adaptation parameters has been considered. In particular, it has been overlooked the role of time-related indexes that capture changes in motor and cognitive abilities of the human operator. We argue that for a more effective long-term co-adaptation process, the interface should be able to predict and adjust its parameters according to the evolution of human skills and performance. We thus propose a novel approach termed progressive co-adaptation, whereby human performance is continuously monitored and the system makes inferences about changes in the users' cognitive and motor skills. We illustrate the features of progressive co-adaptation in two possible applications, robotic telemanipulation and active vision for the visually impaired.

关键词： Training Robots Usability Monitoring Mice Man machine systems Uncertainty

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A vision-based line following strategy for an autonomous UAV

A vision-based line following strategy for an autonomous UAV

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international conference on informatics in control, automation and robotics (ICINCO)

作者： Alexandre S. Brandão Felipe N. Martins Higor B. Soneguetti Robotics Specialization Group (NERO) Federal University of Viçosa Brazil Institute of Engineering Hanze University of Applied Sciences Groningen Netherlands

Unmanned Aerial Vehicles (UAVs) are versatile machines that can be used in a variety of applications, such as automatic monitoring of crops and water channels, pest detection, animal counting etc. Autonomous flying is a desirable feature for UAVs, especially for those that are frequently used in monitoring and inspection of large areas. In some situations, global positioning system signal is not guaranteed or its error might be too large, hence other methods of local position feedback are required. In such a context, we present the development of a vision-based line following strategy for an autonomous UAV. the proposed system is intended to guide an autonomous UAV to follow water channel margins, crop lines and other similar patterns, to support automatic monitoring and inspection activities. We present the design of a nonlinear path following controller and we show that the resulting closed-loop system is stable in the sense of Lyapunov. We also propose a visual-based line detection algorithm that it is capable of detecting the average position and orientation of the main lines on the image frames captured by the UAV downwards facing camera. Finally, we present and discuss some experimental results that show the good performance of the proposed system.

关键词： Cameras Agriculture Global Positioning System Monitoring Rotors Unmanned aerial vehicles

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Model predictive control solution for magnetic levitation systems

Model predictive control solution for magnetic levitation sy...

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international conference on Methods and Models in automation and robotics (MMAR)

作者： Claudia-Adina Bojan-Dragos Alexandra-Iulia Stinean Radu-Emil Precup Stefan Preitl Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

the paper presents aspects related to the design and implementation of a cascade control solution (CCS), which is tested on laboratory equipment meant for the position control of a ferromagnetic sphere in a Magnetic Levitation System with Two Electromagnets (MLS2EM). the nonlinear mathematical model (MM) of the MLS2EM is derived on the basis of the first principles equations with experimentally identified parameters. this MM is next linearized at two operating points. the CCS includes a state feedback controller in the inner loop and a model predictive controller in the outer loop. Experimental results are given in order to validate the proposed CCS and to illustrate the performance of the position control system expressed as very good dynamics and zero steady-state control error.

关键词： Electromagnets State feedback Mathematical model Magnetic materials Photonic crystals Magnetic levitation

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Intelligent fall prevention for Parkinson's disease patients based on detecting posture instabilily and freezing of gait

Intelligent fall prevention for Parkinson's disease patients...

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international conference on informatics in control, automation and robotics (ICINCO)

作者： Jiann-I Pan Yi-Chi Huang Department of Medical Informatics Tzu-Chi University Hualien Taiwan

Parkinson's disease (PD) is a disorder that affects nerve cells in a part of the brain, and results from a progressive loss of dopaminergic and other sub-cortical neurons. Symptoms of Parkinson's disease may include resting tremor, bradykinesia, rigidity, a forward stooped posture, postural instability, and freezing of gait. As reported by several researchers, the forward stooped posture and freezing of gait are the most critical reasons to make the Parkinson's disease patients fall. the main objective of this research is to develop a fall prevention system for Parkinson's disease patients. there are two phases in the fall prevention protocol. the first phase is to detect and recognize the stooped posture and freezing of gait symptoms from the patient's movement activities. the next phase is to alarm an audio cue to break the block of freezing. An accelerometer based sensor network is designed to sense the movement information. the recorded data are transferred to the smartphone, which served as the core calculator unit, by Bluetooth communication protocol. the input signals are recognized and classified into the target symptoms. the main advantages of this proposed approach includes: (1) the safety: to detect the stooped posture and freezing of gait and to produce audio cue to help the patients to break the block; (2) the portability: not limited at specific locations; and (3) the expendability: easy to update or upgrade by using app install online.

关键词： Parkinson's disease Acceleration Foot Accelerometers Time series analysis Heuristic algorithms Bluetooth

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A physics-based optimization approach for path planning on rough terrains

A physics-based optimization approach for path planning on r...

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international conference on informatics in control, automation and robotics (ICINCO)

作者： Diogo Amorim Rodrigo Ventura Institute for Systems and Robotics Universidade de Lisboa Lisbon Portugal

the following paper addresses the problem of applying existing path planning methods targeting rough terrains. Most path planning methods for mobile robots divide the environment in two areas-free and occupied-and restrict the path to lie within the free space. the presented solution addresses the problem of path planning on rough terrains, where the local shape of the environment are used to both constrain and optimize the resulting path. Finding both the feasibility and the cost of the robot crossing the terrain at a given point is cast as an optimization problem. Intuitively, this problem models dropping the robot at a given location (x,y) and determining the minimal potential energy pose (attitude angles and the distance of the centre of mass to the ground). We then applied two path planning methods for computing a feasible path to a given goal: Fast Marching Method (FMM) and Rapidly exploring Random Tree (RRT). Processing the whole mapped area, determining the cost of every cell in the map, we apply a FMM in order to obtain a potential field free of local minima. this field can then be used to either pre-compute a complete trajectory to the goal point or to control, in real time, the locomotion of the robot. Solving the previously stated problem using RRT we need not to process the entire area, but only the coordinates of the nodes generated. this last approach does not require as much computational power or time as the FMM but the resulting path might not be optimal. In the end, the results obtained from the FMM may be used in controlling the vehicle and show optimal paths. the output from the RRT method is a feasible path to the goal position. Finally, we validate the proposed approach on four example environments.

关键词： Robot kinematics Path planning Vehicles Optimization Mobile robots Rough surfaces

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Design and implementation of natural language processing with syntax and semantic analysis for extract traffic conditions from social media data 5

Design and implementation of natural language processing wit...

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5th IEEE international conference on System Engineering and Technology, ICSET 2015

作者： Aziz, Mochamad Vicky Ghani Prihatmanto, Ary Setijadi Henriyan, Diotra Wijaya, Rifki Control and Computer System Laboratory School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

ISBN: (纸本)9781467367134

Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created a summary regarding the traffic, the summary can improve time efficiency and effectiveness in obtaining information about traffic conditions. However, the structure of the language of Twitter tweets unstructured and raw cause difficult to process information computer, to solve these problems then summarize it using Natural Language Processing approach the syntactic and semantic analysis to improve the structure of words and sentence parsing so that it can classify traffic conditions tweet of the sentence. © 2015 IEEE.

关键词： Traffic congestion

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