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检索条件"任意字段=6th International Conference on Informatics in Control, Automation and Robotics"

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CODILA: A Collaborative and Distributed Learning Activity applied to software engineering courses in Latin American Universities

CODILA: A Collaborative and Distributed Learning Activity ap...

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international conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

作者： César A. Collazos Sergio F. Ochoa Sergio Zapata Fáber D. Giraldo M. Inés Lund Laura Aballay Gisela Torres de Clunie IDIS Research Group University of Cauca Colombia Computer Science University of Chile Chile Computer Science Informatics Institute National University of San Juan Argentina SINFOCI (Information System and Industrial Control) University of Quindío Armenia Informatics Institute National University of San Juan Argentina Technical University of Panama Panama

Software engineering education has been recognized as an important challenge in computer science undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform practical experiences that allow students to assimilate and apply such knowledge. this paper introduces a computer-supported Collaborative and Distributed Learning Activity (CODILA) that has been used to allow undergraduate students to acquire not only particular knowledge on software engineering, but also specific competencies or skills to collaborate in a distributed development team. the article also presents two experiences in which CODILA was applied. Such experiences involved students and instructors from five Latin American Universities. the obtained results were satisfactory and indicate this collaborative learning activity could be appropriate to address the instructional process in other disciplines.

关键词： Software Educational institutions Monitoring Computers Indexes Mediation Buildings

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Miniature Reconfigurable Modular Soft Robots Using Liquid Crystal Elastomer Actuation

Miniature Reconfigurable Modular Soft Robots Using Liquid Cr...

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ASME/IFToMM international conference on Reconfigurable Mechanisms and Robots, ReMAR

作者： Huayu Zhang Jiajun An Tianle Pan Upinder Kaur Zhijian Wang Xuchen Wang Qiguang He Xin Ma Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong SAR Multiscale Medical Robotics Centre Hong Kong SAR Department of Agricultural and Biological Engineering Purdue University USA Key Laboratory of Aerospace Advanced Materials and Performance Ministry of Education School of Materials Science and Engineering Beihang University China

ISBN: (数字)9798350395969

ISBN: (纸本)9798350395976

Soft robotics is rapidly evolving, fueled by advancements in controllable materials. Liquid crystal elastomers (LCEs) stand out with their exceptional actuation capabilities, ease of processing, and built-in programmability. However, current LCE robots struggle with limited dexterity and adaptability, hindering their real-world potential. We address this limitation by introducing a novel modular design approach that unlocks the full potential of LCEs. Our miniature, highly deformable soft robot utilizes reconfigurable LCE modules for bending and twisting, enabling enhanced manipulability through serial combinations. Demonstrating its dexterity, the modular robot performs intricate fingertip manipulation, allowing a miniature gripper to rotate a small object. this achievement highlights the reconfigurability and utility of our system, paving the way for more dexterous and versatile LCE-based robots.

关键词： Elastomers Soft robotics Bending Grippers

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Servo System of 6 DOF Electro-hydraulic Shaking Table

Servo System of 6 DOF Electro-hydraulic Shaking Table

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2011 3rd international Asia conference on informatics in control, automation and robotics (CAR 2011 LNEE 132)

作者： Liyi Yin Zhengmao Ye Gang Shen Junwei Han State Key Laboratory of Robotics and System School of Mechatronics EngineeringHarbin Institute of Technology School of Mechanical and Electrical Engineering China University of Mining and Technology

Electro-hydraulic shaking table(EHST) is a useful experimental apparatus to real-time replicate the desired acceleration vibration signal for evaluating the performance of the tested specimen structural systems. A three axis six degree-of-freedom(DOF) EHST system with eight hydraulic actuators is presented in the paper. A decouple control method is employed to lower the acceleration couple among the six DOF. the procedure of the decouple controller is programmed in MATLAB/Simulink, and then compiled to a realtime PC with Microsoft Visual *** for implementation. the experimental results demonstrate that a better tracking performance with the improved servo controller is achieved in experiments by using actual EHST.

关键词： Electro-hydraulic shaking table,decouple control,identification

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Classifying Fault Category and Severity of UAV Flight controllers’ Reported Issues

Classifying Fault Category and Severity of UAV Flight Contro...

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international conference on System Reliability and Science (ICSRS)

作者： Anamta Khan Maria Lucia Ferramosca Naghmeh Ivaki Henrique Madeira Department of Informatics Engineering University of Coimbra Centre for Informatics and Systems of the University of Coimbra Coimbra Portugal Department of Control and Computer Engineering Polytechnic of Turin Italy

Unmanned Ariel Vehicles (UAVs) have gained significant importance in diverse sectors. thus, a profound safety risk analysis/assessment to prevent any possible damage to themselves, the environment, and humans is fundamental for building and utilizing UAVs. To achieve that, two fundamental challenges should be addressed: i) identification of types and frequency of the issues and ii) assessment of their impact. In this paper, we aim to address the first challenge by automatizing the process of data field analysis. To do so, we first performed some statistical analysis of the reported issues of UAV systems (in Github) and manually extracted detailed data from the reports to better understand the type and nature of the issues. then, to automatize the analysis, we used natural language processing algorithm to extract the keywords from the reports, and then applied four machine learning algorithms to build classifier models to classify the reports according to the fault category and severity level. the good performance results obtained suggest that these analyzes can be performed to further understand the UAV system issues, and help in the risk assessment procedure to identify the hazard and define the frequency and severity of the risk. Moreover, the results of this work can help a big community of developers and researchers in the precise and fast analysis of bug reports and safety risk assessment of any software system.

关键词： Fault diagnosis Machine learning algorithms Statistical analysis Computer bugs Software systems Classification algorithms Autopilot

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Blind Area Optimization of Multiple Interference Incident Angles Based on Improved Harris Hawks Optimization

Blind Area Optimization of Multiple Interference Incident An...

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international conference on Electronic Engineering and informatics (EEI)

作者： Zheyu Li Yaxing Li Kai Yang Ze Wang Jiaqi Liang Fangmin He Jin Meng National Key Laboratory of Electromagnetic Energy Naval University of Engineering Wuhan China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

the cancellation blind area is closely related to interference incident angle. the distribution and proportion of blind area vary with different interference incident angle. this paper proposes an improved Harris Hawks Optimization (HHO) to optimize the blind area of sparse planar array with multiple interference incident angles. the simulation verifies that the method can control the blind area in main interference incident area below 8% and the blind area in non-main interference incident area no more than 18%. Compared with the uniform sparse planar array, the blind area is reduced by about 10% and 12%, respectively.

关键词： Interference cancellation Chaotic communication Interference Planar arrays Apertures Attenuation informatics Optimization Convergence

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A Robust Color Image Zero-Watermarking Based on SURF and DCT Features 6th

A Robust Color Image Zero-Watermarking Based on SURF and DCT...

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6th international conference on Artificial Intelligence and Security,ICAIS 2020

作者： Nawaz, Saqib Ali Li, Jingbing Bhatti, Uzair Aslam Li, Hui Han, Baoru Mehmood, Anum Ahmed, Raza M. Shoukat, Muhammad Usman Zhou, Jingjun College of Information and Communication Engineering Hainan University Haikou570228 China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan University HaikouHainan570228 China Key Laboratory of Virtual Geographic Environment MOE Nanjing Normal University Nanjing210023 China Department of Biochemistry and Molecular Biology Hainan University Haikou570228 China School of Automation and Information Sichuan University of Science and Engineering Yibin644000 China College of Medical Informatics Chongqing Medical University Chongqing400016 China

ISBN: (纸本)9789811580857

For most of the current watermarking algorithms, a multi-function color image that can simultaneously perform copyright protection and content authentication is proposed as Dual watermarking algorithm. First, the original image is converted from RGB space to YUV space, and the SURF (speeded up robust feature) of the luminance component is extracted. the marker points, constructs a description vector according to the main direction of the feature point and splits it into two sub-vectors, respectively calculating the cosine clip between them and a reference vector Angle, construct a robust zero watermark sequence by comparing the size relationship of the angles;then 2 × 2 the original image, and the singular value norm of the sub-image block. the XOR operation is performed to generate fragile watermark information and embed it into the least significant bit of the image space. By calculating the original robust zero water at the time of copyright attribution. the correlation coefficient between the printed sequence and the watermark sequence extracted from the image to be detected is used as the basis for identification, and the content authentication is passed. Experimental results show that the proposed algorithm has good performance. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Copyrights

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the effectiveness of diagnostic potential of descriptors with the use of selected features of the vibroarthrographic signal

The effectiveness of diagnostic potential of descriptors wit...

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Nanotechnology in Instrumentation and Measurement (NANOFIM)

作者： Anna Froń Mirosław Szmajda Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

ISBN: (纸本)9781665407014

Due to its biological conditions, the cartilage of the knee joint is exposed to overuse injuries caused by chronic, repetitive movements that cause microscopic damage, resulting in softening, fibrosis and the formation of fissures called chondromalacia. the friction of cartilage surfaces generates vibrations and acoustic sounds. Vibroarthrography is a non-invasive method of analysing registered mechanical vibrations. the authors compare the six descriptors including the standard and the proposed ones based on selected frequencies and processing spectrogram results. the paper provides effectiveness analysis of descriptors in two diagnostic cases: the healthy knee group (66 signals) vs the first stage chondromalacia (26 signals) and the third stage chondromalacia (36 signals) vs the osteoarthritis (26 signals). the effectiveness is assessed using the overlap coefficient. the paper indicates the descriptors with the highest diagnostic potential for classification accuracy.

关键词： Vibrations Microscopy Softening Nanobioscience Instrumentation and measurement Osteoarthritis Surface treatment

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Mining and linguistically interpreting summaries from surveyed data related to financial literacy and behaviour 6th

Mining and linguistically interpreting summaries from survey...

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6th international conference on Data Science, Technology and Applications, DATA 2017

作者： Hudec, Miroslav Brokešová, Zuzana Faculty of Economic Informatics University of Economics in Bratislava Dolnozemská cesta 1 Bratislava Slovakia Faculty of National Economy University of Economics in Bratislava Dolnozemská cesta 1 Bratislava Slovakia

ISBN: (纸本)9783319948089

Financial decisions represent important decisions in everyday life, as they could affect the financial well-being of the individuals. these decisions are affected by many factors including level of financial literacy, emotions, heuristics and biases. this paper is devoted to mining and interpreting information regarding effect of financial literacy on individuals’ behaviour (angst, fear, nervousness, loss of control, anchoring and risk taking) from the data surveyed by questionnaire applying linguistic summaries. Fuzzy sets and fuzzy logic allow us to mathematically formalize linguistic terms such as most of, high literacy, low angst and the like, and interpret mined knowledge by short quantified sentences of natural language. this way is suitable for managing semantic uncertainty in data and in concepts. the results have shown that for the majority of respondents having low level of financial literacy, angst and other treats represent serious issues, as expected. On the other hand, about half of respondents with high level of literacy do not consider these treats as significant. this effect is emphasized by the experimenting with socio-demographic characteristics of respondents. this research has also observed problems in applying linguistic summaries on data from questionnaires and suggests some recommendations. © Springer international Publishing AG, part of Springer Nature 2018.

关键词： Fuzzy logic

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A Single Image Deraining Network Based on Global Feature Perception 22

A Single Image Deraining Network Based on Global Feature Per...

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Proceedings of the 2022 6th international conference on Computer Science and Artificial Intelligence

作者： Bo Fu Hongguang Wang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China and University of Chinese Academy of Sciences China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China and Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China

ISBN: (纸本)9781450397773

Rainy weather can degrade the quality of image captured outdoors, which in turn reduces the effectiveness of the subsequent computer vision algorithm. therefore, as a way to improve the performance of subsequent visual tasks, single image deraining has become an important research topic. In this paper, a single image deraining method based on global feature perception is proposed, which can effectively locate the rain streak and estimate corresponding background content via Swin Transformer mechanism. Different from convolutional neural network and traditional Transformer, the proposed network can extract the global features of an image while reducing the amount of computation. Combing advantages of Swin Transformer and convolutional network, a three-stage deraining network is proposed. First, the coarse features of an image are extracted through the convolutional layer. then, using the feature refining module based on Swin Transformer, global features are extracted and fused. Finally, through the image reconstruction module, the clean image is generated by using residual learning. the experimental results show the superiority of the proposed network.

关键词： single image deraining Transformer convolution neural network

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Prescribed-Time Clusters Flocking for Multi-Agent Systems of UAVs and USVs

Prescribed-Time Clusters Flocking for Multi-Agent Systems of...

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international conference on Electronic Engineering and informatics (EEI)

作者： Hanjun Shang Zhenhuan Wang Yingxin Tian Qimin Hou Jiyuan Kuang Yabin Gao School of Astronautics Harbin Institute of Technology Harbin China Elite Engineers School Harbin Institute of Technology Harbin China The National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing China School of Software Harbin Institute of Technology Harbin China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

this paper deals with the problem of clusters flocking for a heterogeneous multi-agent system of Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vessels (USVs). the dynamics models of the UAVs and USVs are established separately. Due to the different state dimensions and dynamics models of the UAVs and USVs, the two types of agents are formulated with two clusters. then, the functions of formation errors of the two clusters are constructed. For the two clusters, a new type of prescribed-time formation control laws is designed respectively. Moreover, compared with the conventional formation control that can only ensure that the multi-agent system completes ideal formations without strict time constraints theoretically, the present prescribed-time control laws can enable the multi-agent system to complete ideal formation strictly at a prescribed time independent of initial formation errors. Finally, the effectiveness of the prescribed-time formation control is verified by simulations.

关键词： Simulation control systems Autonomous aerial vehicles Formation control Time factors Vehicle dynamics informatics Dynamical systems Multi-agent systems

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