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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

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control Program Design of Autonomous Vehicle Robot Using Grammatical Evolution

Control Program Design of Autonomous Vehicle Robot Using Gra...

引用

international conference on robotics and automation Engineering (ICRAE)

作者： Syuya Yamada Ryoma Sato Tatsuhiro Tamaki Eisuke Kita Graduate School of Informatics Nagoya University Nagoya Japan Graduate School of Information Science Nagoya University Nagoya Japan National Institute of Technology Okinawa College Nago Japan

ISBN: (纸本)9781665406987

The automatic design of the control program of the vehicle robot is presented in this study. LEGO MINDSTORM EV3 and RVW Level Builder are used for this study. The control program of EV3 is designed automatically by using Grammatical Evolution (GE), which is one of the evolutionary algorithms. The generated program is applied for controlling EV3. The results show that the robot behavior in the experiment of EV3 was roughly equivalent to it in simulator. Therefore, the proposed algorithm based on GE can generate the control program of robot automatically.

关键词： automation Robot control Evolutionary computation Germanium Robots Autonomous vehicles Convergence

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Bridging the Reality Gap: Investigation of Deep Convolution Neural Networks Ability to Learn from a Combination of Real and Synthetic Data 17

Bridging the Reality Gap: Investigation of Deep Convolution ...

引用

17th international conference on informatics in control, automation and robotics (ICINCO)

作者： Gamal, Omar Rameshbabu, Keshavraj Imran, Mohamed Roth, Hubert Univ Siegen Inst Automat Control Engn Holderlinstr 3 Siegen Germany

ISBN: (纸本)9789897584428

Recent advances in data-driven approaches especially deep learning and its application on visual imagery have drawn a lot of attention in recent years. The lack of training data, however, highly affects the model accuracy and its ability to generalize to unseen scenarios. Simulators are emerging as a promising alternative source of data, especially for vision-based applications. Nevertheless, they still lack the visual and physical properties of the real world. Recent works have shown promising approaches to close the reality gap and transfer the knowledge obtained in simulation to the real world. This paper investigates Convolution Neural Networks (CNNs) ability to generalize and learn from a mixture of real and synthetic data to overcome dataset scarcity and domain transfer problems. The evaluation results indicate that the CNN models trained with real and simulation data generalize to both simulation and real environments. However, models trained with only real or simulation data fails drastically when it is transferred to an unseen target environment. Furthermore, the utilization of simulation data has improved model accuracy significantly.

关键词： Reality Gap Domain Transfer Dataset Scarcity Artificial Data Convolution Neural Networks

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Knowledge novelty assessment during the automatic development of ontologies 3

Knowledge novelty assessment during the automatic developmen...

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3rd IEEE international conference on Data Stream Mining and Processing, DSMP 2020

作者： Lytvyn, Vasyl Burov, Yevgen Vysotska, Victoria Hryhorovych, Viktor Lviv Polytechnic National University Information Systems and Networks Department Lviv Ukraine Drohobych Ivan Franko State Pedagogical University Informatics and Information Systems Department Drohobych Ukraine

ISBN: (纸本)9781728132143

Evaluation of knowledge in the process of automatic ontology building in this article the estimation of a novelty of knowledge during the automation of ontology construction based on the analysis of text resources is considered. The development of ontology begins with some basic ontology that sets the examined domain area. The algorithm of estimation of novelty knowledge is developed. © 2020 IEEE.

关键词： Ontology

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Equipment Remote Visual Support Maintenance System 3

Equipment Remote Visual Support Maintenance System

引用

3rd international conference on Mechatronics and Intelligent robotics (ICMIR)

作者： Fang, Kui Army Engn Univ Ordnance Acad 42 Luoyu East Rd Wuhan Peoples R China

Remote diagnosis system based on mature Internet network and visualization technology, fully consider the scene of equipment maintenance and complex network environment, integrated network communication, multi-link aggregation transmission, data encryption, audio and video interaction, equipment self-diagnosis, electronic manual, remote instrument control and other technologies. Through this system, equipment experts can carry out accurate fault analysis and judgment of the faulty equipment at the remote end, realize the remote guidance of field personnel to carry out maintenance work, improve the timeliness and accuracy of equipment support, effectively reduce equipment maintenance cost and improve maintenance efficiency. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： First Keyword Second Keyword Third Keyword

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

3rd EAI International Conference on Multimedia Technology an...

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

ISBN: (纸本)9783030825645

The proceedings contain 97 papers. The special focus in this conference is on Multimedia Technology and Enhanced Learning. The topics include: Research on the Method of Eliminating Duplicated Encrypted Data in Cloud Storage Based on Generated Countermeasure Network;design of Distributed Hybrid Pipeline Multimedia Aided Scheduling System;intelligent Scheduling of Distributed Displacement Pipeline Based on Hybrid Discrete Drosophila Optimization Algorithm;research on Grid Planning Method of Distribution Network Based on Artificial Intelligence Technology;intelligent Monitoring Method for Backstage Data Security of Tourism Information Promotion Platform Based on Cloud Computing;preface;research on Multithreaded Data Scheduling control Method for Power Communication Based on Wireless Sensor;research on Industrial Product Modeling Design Method Based on Deep Learning;a Frequency Conversion Circuit for Piezoelectric Vibrating Energy Harvesting;an Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process;research on Load Feature Extraction Method of Typical Users Based on Deep Learning;enterprise Financial Risk Early Warning System Based on Catastrophe Progression Method;research on Transportation Route Planning Method of Regional Logistics Network Based on Transfer Learning;simultaneous Localization of Multiple Defects in Software Testing Based on Reinforcement Learning;Design of Embedded Network Human Machine Interface Based on VR Technology;Design of Information Security System Based on JSP Technology and Reinforcement Model;sliding Mode Adaptive control for Sensorless Permanent Magnet Synchronous Motor;recognition Method of Metal Material Pitting Defect Based on Visual Signal Processing;an Improved Detection Method of Safety Helmet Wearing Based on CenterNet;influence Maximization Based on True Threshold in Social Networks;arabic Question-Answering System Using Search Engine Techniques.

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

3rd EAI International Conference on Multimedia Technology an...

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

ISBN: (纸本)9783030825614

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Extensible High Force Manipulator For Complex Exploration 3

Extensible High Force Manipulator For Complex Exploration

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3rd IEEE international conference on Soft robotics (RoboSoft)

作者： Hughes, Josie Della Santina, Cosmio Rus, Daniela MIT CSAIL Distributed Robot Lab Cambridge MA 02139 USA

ISBN: (纸本)9781728165707

The development of compliant robotic manipulators which can show length change, compliance and dexterity could assist many challenging applications. Potential applications range from dexterous manipulation, robotic surgery or exploration of challenging environments. Despite significant developments in both fabrication and control approaches for continuum body manipulators, there have been few demonstrations of continuum body systems which display all these properties. We present a method for fabricating a continuum manipulation which shows extension, high force movements and a range of dexterous position. This approach uses 3D printing to create a flexible rack and pinion system. These high torque mechanisms are mounted at points along the 3D printed tracks to allow complex shape control of the continuum system. A controller has been also been developed based on a Piecewise Constant Curvature approximation to allow the position of the tip of the manipulator to be controlled, and motion paths to be followed. In this work, we show the force capabilities of this manipulator and demonstrate how multiple segments can be created for more complex movements.

关键词： 3D printers

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Compartmental spiking neuron model for pattern classification 3

Compartmental spiking neuron model for pattern classificatio...

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3rd international Scientific conference on Applied Physics, Information Technologies and Engineering, APITECH-III 2021

作者： Astapova, L.A. Korsakov, A.M. Bakhshiev, A.V. Eremenko, E.A. Smirnova, E.Y. Saint-Petersburg Russia Institute of Machinery Mate-rials and Transport Higher School of Automation and Robotics Saint-Petersburg Russia

One of the directions of development within the framework of the neuromorphic approach is the development of anatomically similar models of brain networks, taking into account the structurally complex structure of neurons and the adaptation of connections between them, as well as the development of learning algorithms for such models. In this work, we use the previously presented compartmental spike model of a neuron, which describes the structure (dendritic tree, soma, synapses) and behaviour (temporal and spatial signal summation, generation of action potential, stimulation and suppression of electrical activity) of a biological neuron. An algorithm for the structural organization of neuron models into a spike neural network is proposed for recognizing an arbitrary impulse pattern by introducing inhibitory synapses between trained neuron models. The dynamically adapting neuron models used are trained according to a previously proposed algorithm that automatically selects parameters such as soma size, dendrite length, and the number of synapses on each of the dendrites in order to induce a temporal response at the output depending on the input pattern encoded using a time window and temporal delays in the vector of single spikes arriving at a separate dendrite of a neuron. The developed algorithms are evaluated on the Iris dataset classification problem with four training examples from each class. As a result of the classification, separate disjoint clusters are formed, which demonstrates the applicability of the proposed spike neural network with a dynamically changing structure of elements in the problem of pattern recognition and classification. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Neurons

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A Review of Cyber Security Assessment (CSA) for Industrial control Systems (ICS) and Their Impact on the Availability of the ICS Operation 3

A Review of Cyber Security Assessment (CSA) for Industrial C...

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3rd international conference on Applied and Practical Sciences, ICAPS 2021

作者： Bonandir, Nor Afiq Jamil, Norziana Nawawi, Md Nabil Ahmad Jidin, Razali Rusli, Mohd Ezanee Yan, Lam Kwok Maudau, Loviana Lenyu Anak Dunstan College of Computing and Informatics Universiti Tenaga Nasional Putrajaya Campus Selangor Malaysia College of Engineering Universiti Tenaga Nasional Putrajaya Campus Selangor Malaysia Nanyang Technological University 50 Nanyang Ave Singapore

The equipment in industries in this digital age is controlled by systems connected via internet either wired or wireless connectivity. This technology is demanded in almost all organizations to perform their daily industrial operations. Hence, the system must run without any failure and the rate of system availability is a priority. Most importantly, the entire system must be secured from cyber security threats, vulnerability, and risks so as to ensure that the system is not exposed to the possibility of any cyber attack. Thus, initial security assessment must be conducted to ensure the security aspect of the system. Nevertheless, the evaluation shall not impact the system's regular operations. As such, the study reviews and discusses the Cyber Security Assessment (CSA) for Industrial control Systems (ICS) and their possible effect on the availability of ICS operations. © Published under licence by IOP Publishing Ltd.

关键词： Cybersecurity

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Using Semi-implicit Iterations in the Periodic QZ Algorithm 17

Using Semi-implicit Iterations in the Periodic QZ Algorithm

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17th international conference on informatics in control, automation and robotics (ICINCO)

作者： Sima, Vasile Gahinet, Pascal Natl Inst Res & Dev Informat Modelling Simulat Optimizat Dept Bd Maresal Averescu 8-10 Bucharest Romania Tech Sci Acad Romania Bucharest Romania MathWorks 3 Apple Hill Dr Natick MA USA

ISBN: (纸本)9789897584428

The periodic QZ (pQZ) algorithm is the key solver in many applications, including periodic systems, cyclic matrices and matrix pencils, and solution of skew-Hamiltonian/Hamiltonian eigenvalue problems, which, in turn, is basic in optimal and robust control, and characterization of dynamical systems. This algorithm operates on a formal product of matrices. For numerical reasons, the standard pQZ algorithm uses an implicit approach during the iterative process. The shifts needed to increase the convergence rate are implicitly defined and applied via an embedding, which essentially allows to reduce the processing to transformations of the data by Givens rotations. But the implicit approach may not converge for some periodic eigenvalue problems. A new, semi-implicit approach is proposed to avoid convergence failures and reduce the number of iterations. This approach uses shifts computed explicitly, but without evaluating the matrix product. The shifts are applied via a suitable embedding. The combination of the implicit and semi-implicit schemes proved beneficial for improving the behavior of the pQZ algorithm. The numerical results for several extensive tests have shown no convergence failures and a reduced number of iterations.

关键词： Eigenvalue Problem Hamiltonian Matrix Numerical Methods Optimal control Periodic Systems

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