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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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the applicability of on-line contextual calibration to a neural network based monocular collision avoidance system on a UAV 5th

The applicability of on-line contextual calibration to a neu...

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5th IFAC conference on Intelligent control and automation Sciences (ICONS)

作者： Hiba, Antal Aleksziev, Rita Pazman, Koppany Bauer, Peter Benczur, Andras Zarandy, Akos Daroczy, Balint Hungarian Acad Sci Inst Comp Sci & Control Budapest Hungary Szechenyi Istvan Univ Res Ctr Vehicle Ind Gyor Hungary Pazmany Peter Catholic Univ Budapest Hungary

Contextual calibration for object detection is a technique where a pretrained network collects attractive false positives during a calibration phase and use this calibration data for further training. this paper investigates the applicability of this method to a vision based onboard sense and avoid system, which requires intruder aircraft detection in camera images. Various landscape and sky backgrounds were generated by Unreal4 3D engine for calibration tests. Contextual calibration is a promising candidate for handling extreme situations which are not covered well in the training data. (C) 2019, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Learning adaptation and evaluation Aerospace robotics and autonomous systems

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5th EAI international conference on Green Energy and Networking, GreeNets 2018

5th EAI International Conference on Green Energy and Network...

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5th EAI international conference on Green Energy and Networking, GreeNets 2018

ISBN: (纸本)9783030129491

the proceedings contain 15 papers. the special focus in this conference is on Green Energy and Networking. the topics include: Experimental Evaluation of Magnetostrictive Strain of Electrical Steel;design of Compact LoRa Devices for Smart Building Applications;electro-Optical System for Evaluation of Dynamic Inductive Wireless Power Transfer to Electric Vehicles;On the Effects of Parameter Adjustment on the Performance of PSO-Based MPPT of a PV-Energy Generation System;multi-temporal Active Power Scheduling and Voltage/var control in Autonomous Microgrids;energy End-Use Flexibility of the Next Generation of Decision-Makers in a Smart Grid Setting: An Exploratory Study;optimizing the Train-Catenary Electrical Interface through control Reconfiguration;home Energy Monitoring System Towards Smart control of Energy Consumption;performance Comparison of a Typical Nonlinear Load Connected to Ac and Dc Power Grids;how Much are Portuguese Residential Consumers Willing to Invest in Photovoltaic Systems?;sustainability Assessment of High Voltage Transmission Lines;voltage Distortion Minimization in Cascaded H-Bridge Inverters;a Selective Harmonic Compensation with Current Limiting Algorithm.

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Design of a New Soft Robot Hand for Grasping and Sorting Operation

Design of a New Soft Robot Hand for Grasping and Sorting Ope...

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IEEE international conference on Cyber Technology in automation, control, and Intelligent Systems

作者： Yaxi Wang Qingsong Xu Faculty of Science and Technology University of Macau Macau China

ISBN: (数字)9781728190105

ISBN: (纸本)9781728190112

this paper presents the design and fabrication of a new soft robot hand for grasping and sorting operation. the soft hand is driven by five pneumatic actuators. the designed soft hand structure is evaluated by conducting simulation study with finite-element analysis. A prototype of the soft hand is fabricated and combined with a collaborative robot arm (Universal Robot UR5) to construct a soft robotic manipulator. It can be used to grasp any shaped object in certain space by providing high safety and high adaptability. In addition, as an intelligent visual servo system using deep learning, the Solomon AccuPick system is added to the robot hand, which can quickly recognize the object, guide the robot hand to approach the target object, and finally complete the grasping and sorting work.

关键词： control systems Actuators three-dimensional displays Testing Soft robotics Robotic assembly Robot sensing systems

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Multidisciplinary Discussion on 5G from the Viewpoint of Algebraic Combinatorics 12

Multidisciplinary Discussion on 5G from the Viewpoint of Alg...

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12th international conference on Computer Science and Information Technologies, CSIT 2019

作者： Kulhandjian, Michel Aslanyan, Levon Sahakyan, Hasmik Kulhandjian, Hovannes D'Amours, Claude University of Ottawa School of Electrical Engineering and Computer Science OttawaONK1N 6N5 Canada National Academy of Sciences Institute for Informatics and Automation Problems Yerevan0014 Armenia California State University Department of Electrical and Computer Engineering Fresno FresnoCA93740 United States

ISBN: (纸本)9781728128580

In this paper, we present some of the interesting questions raised in the "5G and Beyond" workshop discussions. We propose to explore alternative solutions in other discipline such as algebraic combinatorics and discrete optimization. Construction of matrices that possess certain desirable properties in discrete tomography can be exploited for the 5th generation (5G) multiuser waveform design. Moreover, we propose to investigate thoroughly the random graph theory developed by Erdos and A. Rényi for 5G multiuser waveform design. Furthermore, we explore using the "Best Match" algorithm, which has a polynomial time complexity, in 5G communications. © 2019 IEEE.

关键词： Code division multiple access

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Statistical Properties and Temporal Properties of Calling Behavior 5

Statistical Properties and Temporal Properties of Calling Be...

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5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Gui, Jun Zheng, Zeyu Zhao, Xuefeng Qin, Zhaobo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Shenyang University of Technology School of Information Science and Engineering Shenyang110870 China

ISBN: (纸本)9781728147437

Modern information technology makes it possible to understand, model and predict human activities by analyzing electronic traces of human behavior. In this work, we analyze more than 30 million Call Data Records (CDRs) to investigate statistical properties and temporal properties of calling behavior. We find that ranked call frequency of each number can be described by a two-stage power law function. the distribution of call duration is much different and can be described by a bimodal log-normal function. Further, we confirm that both call frequency and call duration are related with circadian cycles. During daylight, call duration is strongly correlated with call frequency. However, during evening and midnight, the pattern of call duration is much different with the pattern of call frequency. Our findings have significant impact on modeling human calling activity and optimizing telecommunication services. © 2019 IEEE.

关键词： Telecommunication services

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Distributed Coverage control of Quadrotor Multi-UAV Systems for Precision Agriculture 6th

Distributed Coverage Control of Quadrotor Multi-UAV Systems ...

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6th international-Federation-of-Automatic-control (IFAC) conference on Sensing, control and automation Technologies for Agriculture (AGRIcontrol)

作者： Elmokadem, Taha Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW Australia

A distributed control strategy of multi quadrotor UAV systems is proposed in this work to address area coverage in precision agriculture. It adopts a region-based control approach by restricting the motion of UAVs within a desired dynamical region with planned dynamics while providing collision avoidance between UAVs. Voronoi partitions that can be computed in a distributed way are used to determine UAVs positions within the moving region which provides a robust and scalable solution. Simulations are done using Gazebo and Robot Operating System (ROS) to evaluate the performance of the proposed method showing good results. (C) 2019, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sensing and automation with UAVs automation and robotics in Agriculture Robust control Systems for Agriculture Crop Monitoring Wireless Sensor Network Coverage control Multi-UAV System

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Abnormal State Detection for Rolling Bearings Using DBSE Approach 5

Abnormal State Detection for Rolling Bearings Using DBSE App...

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5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Gui, Jun Zheng, Zeyu Zhao, Xuefeng Qin, Zhaobo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China School of Information Science and Engineering Shenyang University of Technology Shenyang110870 China

ISBN: (纸本)9781728147437

Rolling bearings play an important role in mechanical equipment. Abnormal state detection of rolling bearings is significant to avoid industrial accident. In this paper, we use Distribution-based States Extraction (DBSE) approach to detect and analyze the abnormal state of rolling bearings. We apply DBSE approach on three different datasets. Each dataset contains time series of horizon acceleration and vertical acceleration right before a specific fault of a rolling bearing. the results show that the DBSE is able to extract normal states and abnormal states before all three faults and effective for fault prediction. By analyzing statistical properties of two states for all three faults, we find distributions of acceleration data on two states are quite different. Further more, we find that standard deviations are more effective to describe features of different states than means of acceleration data. Our finding are great useful for abnormal detection and fault prediction. © 2019 IEEE.

关键词： Extraction

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Image Matching Algorithm based on ORB and K-Means Clustering

Image Matching Algorithm based on ORB and K-Means Clustering

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Information Science, Computer Technology and Transportation (ISCTT), international conference on

作者： Liye Zhang Fudong Cai Jinjun Wang Changfeng Lv Wei Liu Guoxin Guo Huanyun Liu Yixin Xing School of Computer Science and Technology Shandong University of Technology Zibo China Electric Power Automation Division Shandong Senter Electronic Zibo China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China Jinan Xintongda Electronic Technology Co. Ltd Jinan China

ISBN: (数字)9781728185750

ISBN: (纸本)9781728185767

With the rapid development of science and technology, image processing technology plays an important role in the field of computer vision. In order to improve the matching speed and real-time requirements, this paper proposes an image matching algorithm based on ORB and K-means clustering, which can effectively improve the accuracy of image feature point location and the accuracy and efficiency of image feature matching, and reduce the time consumption. the algorithm uses sub-pixel interpolation to optimize the traditional ORB algorithm, which improves the accuracy and characteristics of clustering calculation.

关键词： Interpolation Information science Image matching Clustering algorithms Transportation Real-time systems Stereo vision

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Auto landing system on a fixed wing unmanned aerial vehicle using linear quadratic approach 5

Auto landing system on a fixed wing unmanned aerial vehicle ...

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5th international conference on Science and Technology, ICST 2019

作者： Dharmawan, Andi Ashari, Ahmad Handayani, Ariesta Martiningtyas Meirani Utami, Riarsari Tresnayana, I Made Universitas Gadjah Mada Electronics and Instrumentation Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Computer System and Networking Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Department of Electrical and Informatics Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728123691

the primary control issue on Unmanned Aerial Vehicle (UAV) is to control the rotation motion in the form of pitch, roll, and yaw. these rotational movements are used for various flight phases. the flight phases are at least divided into 3, consisting of taking off, cruising, and landing phases. the landing phase is one of the most critical phases. If the flight control of a UAV in this phase is not optimal, then it can crash. the landing phase control system in this research uses the Linear Quadratic Regulator (LQR) method. this method works on a full-state feedback control system. this control system will produce style and torque, both of which will be converted to PWM (Pulse Width Modulation) signals and the servos deflection angle values. the PWM signals play a role in regulating how fast the brushless motor rotates. the control system is used to maintain the stability of the UAV upon landing so that the UAV does not experience undesirable things. Landing phase testing results show that the control system has been able to land the UAV with an optimal control response. © 2019 IEEE.

关键词： State feedback

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Sparse decomposition of pressure pulse wave signal based on time frequency analysis

Sparse decomposition of pressure pulse wave signal based on ...

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international conference on Intelligent informatics and Biomedical Sciences (ICIIBMS)

作者： Zhixing Jiang Guangming Lu David Zhang School of Computer Science and Technology Harbin Institute of Technology Shenzhen Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China

ISBN: (数字)9781728180229

ISBN: (纸本)9781728180236

In traditional Chinese medicine (TCM), wrist pulse is of great significance to help doctors in diagnosis. With the development of sensing technology, the computerized wrist pulse analysis has been attracting more attention in modern medicine for its non-invasive and convenient. Considering the TCM pulse diagnosis theory, it is necessary to develop effective feature extraction methods for computerized diagnosis. In this paper, we decompose the pressure pulse waveform of the radial artery to several components by sparse decomposition with Gabor function. In order to better represent the pulse waveform signal, we use an Gabor function based on the characteristics of the pulse waveform to generate a time-frequency dictionary. Compared with the conventional representation methods, the shape of the Gabor function is more variable, which can better represent both the contour and specific peaks. In addition, due to the limitation of the windowing, the Gabor function can reduce the influence on other positions when representing specific position. the feature vector composed of the decomposed components can be used for the computerized pulse signal analysis and disease diagnosis. the experimental results show that the proposed method can exhibit superior performance in distinguishing between the signals collected from patients and healthy individuals.

关键词： Wrist Time-frequency analysis Dictionaries Shape Physiology Sensors Signal analysis

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