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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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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

8th EAI International Conference on Advancement of Science a...

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

ISBN: (纸本)9783030806170

the proceedings contain 74 papers. the special focus in this conference is on Advancement of Science and Technology. the topics include: Earliest-Arrival Route: A Global Optimized Communication for Networked control Systems;Impulsive Noise Mitigation Using Hybrid Nonlinear Preprocessor and Turbo Code in OFDM-PLC System;comparative Analysis of Kalman Filtering and Machine Learning Based Cardiovascular Signal Processing Algorithms;modeling and Analysis of three-Phase Inverter for Induction Motor Drive for three-Wheel Electric Vehicle Application;performance Analysis of Multicarrier Modulation Techniques for Next Generation Networks;synchronous Generator Excitation Loss Detection Based on Reactive Power Flow Limit;estimation of Synchrophasor Parameters in the Presence of 3rd & 5th Harmonics and White Gaussian Noise;Performance Analysis of Vertical Sectorization in Sub-6-GHz Frequency Bands for 4G Mobile Network Under Realistic Deployment Scenario;power Loss Reduction and Voltage Profile Improvement of Radial Distribution System through Simultaneous Network Reconfiguration and Distributed Generation Integration;A Comprehensive Review and Evaluation of Classical MPPT Techniques for a Photovoltaic System;antiviral Activity of Aloe pirottae A. Berger Root Extracts Against Influenza A and B Viruses, Picornaviruses and Dengue Virus: An Endemic Plant Species of Ethiopia;dynamic Performance Evaluation of Type-3 Compensator for Switch-Mode Dc-Dc Converter;inset-Feed Rectangular Microstrip Patch Antenna Array Performance Enhancement for 5G Mobile Applications;blockchain Based Green Coffee Supply Chain Management to Improve Traceability and Transparency (Case Study on Sidama Coffee);wireless Local Area Network Intrusion Detection System Using Deep Belief Networks;Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines.

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

8th EAI International Conference on Advancement of Science a...

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8th EAI international conference on Advancement of Science and Technology, ICAST 2020

ISBN: (纸本)9783030806200

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Kinematic Modeling of A Constant Curvature Continuum Manipulator Using Finite Element Analysis 5

Kinematic Modeling of A Constant Curvature Continuum Manipul...

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5th international conference on control, automation and robotics (ICCAR)

作者： Gonzales, Fritz Cyrill D. Ramos, Manuel C., Jr. Univ Philippines Diliman Elect & Elect Engn Inst Quezon City Philippines

ISBN: (纸本)9781728133263

Over the past few years, soft continuum manipulators gained popularity in advanced robotic systems due to its compliance and ability to execute different complicated tasks in an unstructured environment that are not possible with hard manipulators. In this field of soft robotics, series of experiments and revisions are usually performed first to come up with a nearly perfect hardware prototype. Only after these validations will simulations and kinematic modeling be performed. Recent advancement in the research field includes simulation using the combination of finite element analysis and a mathematical soft-ware for performing numerical iterations. this paper presents a kinematic modeling of a single link constant curvature continuum manipulator based on finite element analysis. the approach aims to demonstrate the capability of finite element analysis to do a "specific" modeling of soft continuum manipulator, i.e., pressure and actuator's length relationship. the result allows us to do complete simulation and modeling of forward and inverse kinematics even if a hardware prototype has not been constructed yet.

关键词： soft robotics continuum manipulator kinematic modeling finite element analysis

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conference Speakers

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automation, control and robotics Engineering (CACRE), international conference on

Lists the authors included in the conference proceedings.

ISBN: (数字)9781728198880

ISBN: (纸本)9781728198897

Lists the authors included in the conference proceedings.

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A Method for Managing Engineers Training Processes using Swarm Intelligence Algorithms 5

A Method for Managing Engineers Training Processes using Swa...

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5th international conference on Information Technologies in Engineering Education, Inforino 2020

作者： Bobryakov, A.V. Yanukovich, S.P. Zakharchenkov, K.V. Borisov, V.V. National Reseacrh University MPEI Department of Control and Informatics Moscow Russia Joint Stock Company Mogilev Regional Development Agency Mogilev Belarus Belorussin-Russian University Department of Automated Control Systems Mogilev Belarus

ISBN: (纸本)9781728148106

the paper examines the problem of managing the training of engineers using modern information technologies and describes the method proposed to manage the training of engineers based on the rational choice of individual and team learning by selecting algorithms and parameters of the swarm intelligence algorithms. the application of the proposed method is considered on the example of training engineers in information technology using algorithms for swarming bees, ant colonies, fireflies, schools of fish. © 2020 IEEE.

关键词： Swarm intelligence

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Trans-DF: A Transfer Learning-based end-to-end Deepfake Detector 5

Trans-DF: A Transfer Learning-based end-to-end Deepfake Dete...

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5th IEEE international conference on Computing Communication and automation, ICCCA 2020

作者： Patel, Mohil Gupta, Aaryan Tanwar, Sudeep Obaidat, M.S. Institute of Technology Nirma University Department of Computer Science and Engineering Gujarat India University of Sharjah UAE King Abdullah II School of It University of Jordan College of Computing and Informatics Jordan

ISBN: (数字)9781728163246

ISBN: (纸本)9781728163246

With the advent of information and communication technologies, there have been breakthrough developments in the field of Artificial Intelligence (AI). Moreover, increasing computation power and decreasing processing times, new applications are being developed at great speeds. One such application is Deepfakes, which tackles the increased manipulated and forged media content. But these fake images and videos hamper the security and privacy of individuals and can have large-scale religious, communal, or political implications that may prove to be catastrophic for a nation. the face swapped content at times can be identified by human observation, but with the use of Generative adversarial networks (GANs), such forged content can be developed with is hard to be identified even by humans. Hence, detecting such videos and images is a challenging task for researchers. Motivated from these gaps, in this paper, we propose a pipeline for detecting and extracting human faces from videos, process them to extract features from them, and then classify them as real or fake. the results of the proposed model achieved an accuracy of 90.2% for classifying fake images from real ones. © 2020 IEEE.

关键词： Generative adversarial networks

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Quantifying Robotic Swarm Coverage 15th

Quantifying Robotic Swarm Coverage

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15th international conference on informatics in control, automation and robotics (ICINCO)

作者： Anderson, Brendon G. Loeser, Eva Gee, Marissa Ren, Fei Biswas, Swagata Turanova, Olga Haberland, Matt Bertozzi, Andrea L. Univ Calif Berkeley Dept Mech Engn Berkeley CA 94720 USA Univ Calif San Diego Dept Math San Diego CA 92093 USA Cornell Univ Ctr Appl Math Ithaca NY 14853 USA Univ Calif Berkeley Ind Engn & Operat Res Berkeley CA 94720 USA Univ Edinburgh Sch Math Edinburgh EH9 3FD Midlothian Scotland Inst Adv Study Sch Math Princeton NJ 08540 USA Cal Poly BioResource & Agr Engn San Luis Obispo CA 93407 USA Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA

ISBN: (纸本)9783030319939;9783030319922

In the field of swarm robotics, the design and implementation of spatial density control laws has received much attention, with less emphasis being placed on performance evaluation. this work fills that gap by introducing an error metric that provides a quantitative measure of coverage for use with any control scheme. the proposed error metric is continuously sensitive to changes in the swarm distribution, unlike commonly used discretization methods. We analyze the theoretical and computational properties of the error metric and propose two benchmarks to which error metric values can be compared. the first uses the realizable extrema of the error metric to compute the relative error of an observed swarm distribution. We also show that the error metric extrema can be used to help choose the swarm size and effective radius of each robot required to achieve a desired level of coverage. the second bench-mark compares the observed distribution of error metric values to the probability density function of the error metric when robot positions are randomly sampled from the target distribution. We demonstrate the utility of this benchmark in assessing the performance of stochastic control algorithms. We prove that the error metric obeys a central limit theorem, develop a streamlined method for performing computations, and place the standard statistical tests used here on a firm theoretical footing. We provide rigorous theoretical development, computational methodologies, numerical examples, and MATLAB code for both benchmarks.

关键词： Swarm robotics Multi-agent systems Coverage optimization Central limit theorem

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Spoofing detectability as a property of biometric characteristics 5

Spoofing detectability as a property of biometric characteri...

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5th Italian conference on Cybersecurity, ITASEC 2021

作者： Zoppi, Tommaso Schiavone, Enrico Bicchierai, Irene Brancati, Francesco Bondavalli, Andrea Department of Mathematics and Informatics University of Florence Viale Morgagni 65 Florence50142 Italy 56025 Italy

Regardless of the application domain, adversaries may conduct spoofing attacks in order to bypass an authentication system. the difficulty of fooling a biometric sensor, known as circumvention;can be paired with an additional property based on the easiness of identifying ongoing presentation attacks which could help selecting the most suitable characteristic(s) when designing a biometric system. To such extent, this paper proposes spoofing detectability, as a property of biometric characteristics, to indicate the likelihood of detecting ongoing presentation attacks aiming at overcoming authentication mechanisms. We define and then quantitatively estimate spoofing detectability through unsupervised anomaly detection on publicly available biometric datasets, collecting metric scores which are then converted into the Low, Medium, High categories for 8 different biometric characteristics. We built our results upon unsupervised algorithms as they represent the most suitable answer to the detection of zero-day attacks. Alongside with our experimental process, we show the intrinsic relevance of spoofing detectability to complement circumvention. As a final contribution of the paper, we show how to embed an anomaly-based spoofing detection module into an authentication system for runtime support. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Intrusion detection

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A Novel Energy Based Ground Movement Detection Technique using Seismic Signal

A Novel Energy Based Ground Movement Detection Technique usi...

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international conference on Information Systems and Computer Networks (ISCON)

作者： Anisom Chakraborty Ankit Mallick Srinivasa Reddy Nemalidinne Siva Ram Krishna Vadali Srinivasan Aruchamy Vinayak Shriniwas Nageli Robotics & Automation CSIR-CMERI DurgapurIndia CAIR- DRDO BengaluruIndia

ISBN: (纸本)9781665447874

Event detection using seismic signals is a problem of great significance. though several techniques have been developed, achieving an acceptable event detection performance in an outdoor environment is difficult to accomplish. In this paper, a ground movement detection technique is proposed using the energy of acquired seismic signal in different spectral ranges. Performance of the proposed method is tested with an experimental setup including a geo-phone and a data acquisition system. Analysis of results from experimental data indicate that the proposed method renders significant (≈90%) reduction in false alarm probability besides providing ≈ 8% improvement in event detection accuracy, over amplitude and energy thresholding approaches.

关键词： Event detection Data acquisition Motion detection Computer networks Information systems

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On the Robustness of Power IOT against Attack Based on General Framework

On the Robustness of Power IOT against Attack Based on Gener...

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Power and Energy Engineering (ICPEE), international conference on

作者： Tianyu Wang Weiwei Miao Jianming Zhao Bowen Zhang Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China State Grid Jiangsu Electric Power Co. Ltd Information & Telecommunication Branch Nanjing China

ISBN: (纸本)9781665420471

Power Internet of things (IOT) is the application of Internet of things in smart grid and the result of the development of information and communication technology to a certain stage. It will effectively integrate communication infrastructure resources and power system infrastructure resources, and improve the informationize level of power system. However, real-world complex systems are often vulnerable under disruptions. Power IOT is facing with different types of attack, which contains natural disasters and human intentional attacks. Motivated by this point, we propose a general framework of Power IOT robustness with different structures against diverse attacks. Evaluation on example IOT networks shows the effectiveness of our framework, and the characteristics of different structure against attacks. Our study contributes to a better understanding of Power IOT robustness, and reveals the designation of the Power IOT network improves the robustness of the network.

关键词： Robustness Power systems Smart grids Information and communication technology Internet of things Complex systems

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