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IEEE Latin American Robotics Symposium, LARS

作者： Reynaldo Mateus Gago Mauricio Galassi Filipe Silveira Gustavo Medeiros Freitas Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Centro de Pesquisas e Desenvolvimento Petrobras Rio de Janeiro RJ Brazil Industrial Technology Architecture Vale S.A. Coronel Fabriciano MG Brazil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

The increasing deployment of industrial and service robots has created a significant demand for robotic Fleet Management systems (FMS) to control these assets and deliver efficient and safe operations. This paper explores applications of FMS across various industrial sectors, including oil and gas, mining and agroindustry. Then, it describes expected functionalities of FMS, such as route planning, task allocation, simulation, realtime monitoring, integration with corporate systems, diagnosis, teleoperation, data analytics and devops tools. The discussion includes an analysis of current FMS software solutions, highlighting their features and industry-specific applications. The paper concludes that the continued evolution of FMS technology is critical for optimizing robotic operations and achieving strategic industrial goals, and the selection of a FMS solution should consider companies’ current fleet and expectations towards its adoption.

关键词： Industries Frequency modulation DevOps Data analysis Service robots Oils Software Planning Data mining Resource management

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Towards Modular and Accessible AUV systems

Towards Modular and Accessible AUV Systems

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Symposium on Autonomous Underwater Vehicle Technology (AUV)

作者： Mingxi Zhou Farhang Naderi Yuewei Fu Tony Jacob Lin Zhao Manavi Panjnani Chengzhi Yuan William McConnell Emir Cem Gezer Graduate School of Oceanography University of Rhode Island Narragansett RI USA Department of Ocean Engineering University of Rhode Island Narragansett RI USA Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA Department of Mechanical Industrial and Systems Engineering University of Rhode Island Kingston RI USA Department of Marine Technology Norwegian University of Science and Technology Norway

ISBN: (数字)9798331542238

ISBN: (纸本)9798331542245

This paper reports the development of a new open-access modular framework, called Marine Vehicle Packages (MVP), for Autonomous Underwater Vehicles. The framework consists of both software and hardware designs allowing easy construction of AUV for research with increased customizability and sufficient payload capacity. This paper will present the scalable hardware system design and the modular software design architecture. New features, such as articulated thruster integration and high-level Graphic User Interface will be discussed. Both simulation and field experiments results are shown to highlight the performance and compatibility of the MVP.

关键词： Autonomous underwater vehicles Software design Attitude control Computer architecture Hardware Software Marine vehicles System analysis and design Payloads Graphical user interfaces

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Evaluation of Hydrogen Ions Flowing through Protonic Ceramic Fuel Cell Using Ytterbium-Doped Barium Zirconate as electrolyte

Evaluation of Hydrogen Ions Flowing through Protonic Ceramic...

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243rd ECS Meeting

作者： Okuyama, Yuji Harada, Yoshiaki Mikami, Yuichi Yamauchi, Kosuke Kuroha, Tomohiro Shimada, Hiroyuki Yamaguchi, Yuki Mizutani, Yasunobu Research Center for Sustainable Energy & Environmental Engineering Faculty of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Department of Environmental Robotics Mechanical Systems and Informatics Course Graduate School of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Interdisciplinary Graduate School of Agriculture and Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Technology Division Panasonic Holdings Corporation 3-1-1 Yagumo-naka-machi Osaka Moriguchi City570-8501 Japan Innovative Functional Materials Research Institute National Institute of Advanced Industrial Science and Technology 4-205 Sakurazaka Moriyama-ku Aichi Nagoya463-8560 Japan

ISBN: (纸本)9781607685395

To measure the proton current in a PCFC (protonic ceramic fuel cell), the proton current detector was developed using a proton conducting oxide. The amount of proton current that flowed in the PCFC can be measured by an apparatus developed based on the electromotive force of an electrochemical cell using 10 mol% In-doped CaZrO3 (hydrogen sensor) and Y-stabilized zirconia (oxygen sensor). The water vapor pressure on the cathode changed when hydrogen ions pass through the PCFC. The hydrogen ion current can be determined by monitoring the water vapor pressure. The electronic leakage was then estimated from the hydrogen ion current and external current. We measured the current of hydrogen flowing through protonic ceramic fuel cell using ytterbium-doped barium zirconate as the electrolyte. Hydrogen ions and holes were found to leak under the OCV at 700°C. The electronic leakage was found to be suppressed with the increasing electrolyte film thickness. On the other hand, no leakage of hydrogen and holes was observed at 500°C. © The Electrochemical Society.

关键词： Ions

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MULTIPLEXED DNA-DIRECTED PATTERNING OF ANTIBODIES FOR SINGLE-CELL SURFACE MARKER ANALYSIS 25

MULTIPLEXED DNA-DIRECTED PATTERNING OF ANTIBODIES FOR SINGLE...

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25th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kozminsky, Molly Scheideler, Olivia J. Li, Brian Liu, Nathaniel K. Sohn, Lydia L. California Institute of Quantitative Biosciences Berkeley United States UC Berkeley-UCSF Graduate Program in Bioengineering Berkeley and San Francisco United States UC Berkeley Department of Mechanical Engineering Berkeley United States

ISBN: (纸本)9781733419031

Cell surface marker expression is a ubiquitously measured property of single-cell phenotypes. However, measuring several markers with exogenous labels can be costly and complex. We applied a novel bioconjugation chemistry known as DNA-directed patterning to functionalize glass substrates with great specificity and flexibility. Combined with a newly-designed node-pore sensing device, we have developed a flexible and label-free platform for multiplexed surface-marker screening of single cells. In this work, we present our design and demonstrate our platform's capability to screen two example cell types for surface-marker expression. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized systems for Chemistry and Life Sciences. All rights reserved.

关键词： DNA

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Dynamic interaction between dislocations and obstacles in bcc iron based on atomic potentials derived using neural networks

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Physical Review Materials 2023年第6期7卷 063605-063605页

作者： Hideki Mori Tomohito Tsuru Masahiko Okumura Daisuke Matsunaka Yoshinori Shiihara Mitsuhiro Itakura Department of Mechanical Engineering College of Industrial Technology 1-27-1 Nishikoya Amagasaki Hyogo 661-0047 Japan Nuclear Engineering Research Center Japan Atomic Energy Agency Tokai-mura Ibaraki 319-1195 Japan Center for Computational Science & e-Systems Japan Atomic Energy Agency 178-4 Wakashiba Kashiwa Chiba 277-0871 Japan Department of Mechanical Systems Engineering Shinshu University 4-17-1 Wakasato Nagano Nagano 380-8553 Japan Graduate School of Engineering Toyota Technological Institute Nagoya Aichi 468-8511 Japan

The introduction of obstacles (e.g., precipitates) for controlling dislocation motion in molecular structures is a prevalent method for designing the mechanical strength of metals. Owing to the nanoscale size of the dislocation core (≤1 nm), atomic modeling is required to investigate the interactions between the dislocation and obstacles. However, conventional empirical potentials are not adequately accurate in contrast to calculations based on density functional theory (DFT). Therefore, the atomic-level details of the interactions between the dislocations and obstacles remain unclarified. To this end, in this paper, we applied an artificial neural network (ANN) framework to construct an atomic potential by leveraging the high accuracy of DFT. Using the constructed ANN potential, we investigated the dynamic interaction between the (a0/2)〈111〉{110} edge dislocation and obstacles in body-centered cubic (bcc) iron. When the dislocation crossed the void, an ultrasmooth and symmetric half-loop was observed for the bowing-out dislocation. Except for the screw dislocation, the Peierls stress of all the dislocations predicted using the ANN was <100 MPa. More importantly, the results confirmed the formation of an Orowan loop in the interaction between a rigid sphere and dislocation. Furthermore, we discovered a phenomenon in which the Orowan loop disintegrated into two small loops during its interaction with the rigid sphere and dislocation.

关键词： Disclinations & dislocations Plastic deformation Body-centered cubic Transition metals Machine learning Molecular dynamics

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Classification of Abandoned Areas for Solar Energy Projects Using Artificial Intelligence and Quantum Mechanics

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Journal of Geographic Information System 2021年第3期13卷 318-339页

作者： David Gabriel de Barros Franco Maria Teresinha Arns Steiner Undergraduate Program in Logistics Universidade Federal do Tocantins (UFT) Araguaína Brasil Graduate Program in Industrial Engineering and Systems Pontifícia Universidade Católica do Paraná (PUC-PR) Curitiba Brasil

The increasing demand for energy has intensified recently, requiring alternative sources to fossil fuels, which have become economically and environmentally unfeasible. On the other hand, the increasing land occupation in recent centuries is a growing problem, demanding greater efficiency, particularly in the reuse of abandoned areas, which has become an alternative. An interesting alternative would be installing energy facilities like solar, wind, biomass, and geothermal, in these areas. The objective of this paper is to develop a classification methodology, based on Artificial Intelligence (AI) and Quantum Theory (QT), to automatically carry out the classification of abandoned areas suitable for the settlement of these power plants. Artificial Neural Networks (ANNs) improved by the hybrid algorithm Quantum-behaved Particle Swarm Optimization (QPSO) together with the Levenberg-Marquardt Algorithm (LMA) were used for the classification task. In terms of Mean Squared Error (MSE), the QPSO-LMA approach achieved a decrease of 19.6% in relation to the classical LMA training with random initial weights. Moreover, the model’s accuracy showed an increase of 7.3% for the QPSO-LMA over the LMA. To validate this new approach, it was also tested on six different datasets available in the UCI Machine Learning Repository and seven classical techniques established in the literature. For the problem of installing photovoltaic plants in abandoned areas, the knowledge acquired with the solar dataset can be extrapolated to other regions.

关键词： Solar Energy Soil Reuse Artificial Neural Networks Quantum-Behaved Particle Swarm Optimization

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Real engineering Problems in an Undergraduate Course: The learning methodologies and assessment tools

Real Engineering Problems in an Undergraduate Course: The le...

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World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Ricardo A. Diogo André L.A.C. Venâncio Maria Angela M. Roveredo Santos Eduardo F.R. Loures Neri dos Santos Knowledge Engineering&Management Graduate Program Federal University of Santa Catarina Florianopolis Brazil Industrial&Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Control and Automation Engineering/Mechatronics Engineering Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9781665424899

This paper presents the context of the Ubiquitous Computing course carried out in an industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Institutional Modernization program led by the Control and Automation engineering Undergraduate program, which consists in the modernization of undergraduate engineering programs at the Pontifical Catholic University of Paraná. The course aimed to help develop competencies, i.e., a set of knowledge, skills, and attributes aligned with Student Outcomes suggested by ABET. Also, the course proposal brought the productive sector very close to the academic environment, proposing real engineering problems as challenges. However, what are the methods and assessment tools for practical learning in a course with modern elements? This paper proposed the flipped learning and the Challenge-Based Learning Framework with the support of the CDIO Framework as learning methodologies to answer such question. Additionally, quizzes, tests, presentations, rubrics, and peer evaluation were applied as assessment tools to measure the student's progress. Finally, students were listened to about their perceptions during the course. The results suggested that the learning methodologies and assessment tools are suitable for the course context, although some improvements are expected for the following course offers. Moreover, students approved the initiative to bring in real challenges proposed by companies, the mentoring hours, and the feedback about the projects.

关键词： Automation Companies industrial engineering Ubiquitous computing Proposals Mentoring engineering education

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Development and Functional Evaluation of The PrHand V3 Soft-Robotics Prosthetic Hand

Development and Functional Evaluation of The PrHand V3 Soft-...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Orion Ramos Laura De Arco Marcela Múnera Jorge Robledo Mehran Moazen Helge Wurdemann Carlos A. Cifuentes School of Engineering Science and Technology Universidad del Rosario Bogota Colombia Graduate Program of Electrical Engineering Federal University of Espírito Santo Vitoria Brazil Bristol Robotics Laboratory University of the West of England Bristol UK Colombian School of Engineering Bogotá D.C. Colombia Prótesis Avanzadas SAS Medellin Colombia Department of Mechanical Engineering University College London London UK

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

The affordability and functionality of hand prosthetics in developing countries are still very limited. This work aims to present and evaluate the new version of the PrHand affordable robotic prosthesis (PrHand V3), built with soft robotics and compliant mechanisms. PrHand V3 implements a new frictionless tendon unification system, the degree of freedom of thumb opposition was removed, and the finger flexion was improved to the previous version, PrHand V2. The study contributes by evaluating these mechanical changes and conducting the first functional assessment of PrHand V3 with an amputee user. The Anthropomorphic Hand Assessment Protocol (AHAP) dexterity test was the first evaluation in this work; it evaluated how the prosthesis performs eight different grips. PrHand V3 was compared with a PrHand V2 and a commercial robotic prosthesis A3D from Prótesis Avanzadas SAS. PrHand V3’s score on the AHAP test was 80%. This result is higher than the 69% obtained by the PrHand V2 and the 79% obtained by A3D. The Activities Measure for Upper Limb Amputees (AM-ULA) test was the second evaluation in this work; An A3D amputee user performed 23 Activities of Daily Living with PrHand V3 and an A3D. PrHand V3 obtained an average of 2.86/4 and A3D obtained an average of 2.96/4 without significant differences between the two tests. The soft actuation of PrHand V3 as an affordable prosthesis performs similarly to a commercial robotic prosthesis with the advantage of being more flexible to assist a trans-radial hand amputee.

关键词： Hands Protocols Manufacturing processes Thumb Grasping Soft robotics Synthetic aperture sonar Prosthetic hand Prosthetics Tendons

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Working in the 4.0 Era: An Ontology for Competence Management in the Fourth industrial Revolution 26th

Working in the 4.0 Era: An Ontology for Competence Managemen...

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26th International Joint Conference on industrial engineering and Operations Management, IJCIEOM 2020

作者： Francisco, Rosemary de Freitas Rocha Loures, Eduardo Santos, Eduardo Alves Portela Deschamps, Fernando UNISINOS University São LeopoldoRS Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná CuritibaPR Brazil

ISBN: (纸本)9783030569198

Industry 4.0 is creating a radically more dynamic work environment, which calls for considerable changes in the role of industry professionals. As industries need to respond to evolving trends quickly, as well professionals need to be able to work and constantly learning in this new work environment. Besides, due to the continuous advances in technology and the adoption of these technologies in the industries processes, the level of complexity in the workplace is increasing, which results in the need for a new professional role. However, the main challenge is how to prepare and qualify these professionals to acquire these competences. In order to provide a better understanding of the new professional role and their relationship with the industry 4.0 working environment, this paper introduces an ontology for Competence Management in the Fourth industrial Revolution. Considering the recent scientific and business developments for preparing the industries and workers for this new working era, competences and skills needed for professionals in industry 4.0 were reviewed, as well as challenges and opportunities. Based on a systematic literature review in scientific sources and grey literature, this work identified what technologies are being adopted and what the professional competences are for working in this working environment. Since Industry 4.0 is spreading all over the world, this study contributes to this understanding and also provides a starting point for further research regarding workforce competence management for Industry 4.0. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Industry 4.0

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A Method to Gaze Following Detection by Computer Vision Applied to Production Environments 17th

A Method to Gaze Following Detection by Computer Vision Appl...

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17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020

作者： Cenzi, Emannuell Dartora Rudek, Marcelo Pontifícia Universidade Católica do Paraná PUCPR Industrial and Systems Engineering Graduate Program – PPGEPS CuritibaPR80215-901 Brazil

ISBN: (纸本)9783030628062

The humans have the natural ability of following objects with the head and eyes and identify the relationship between those objects. This daily activity represents a challenge for computer vision systems. The procedure to identify the relationship between human eye gaze and the trackable objects is complex and demands several details. In this current paper we proposed a review of the main gazing following methods, identified the respective performance of them and also proposed an AI based method to estimate the gaze from 2D images based on head pose estimation. The main important details to be recovered from images are scene depth, head position and alignment and ocular rotation. In this approach we perform a track estimation of the gaze direction without the use of the eye position, and also, the face partial occlusion is considered in the analysis. The proposed approach allows low cost in processing with considerable accuracy at low complexity sceneries, because we don’t need to extract the facial features. Gaze tracking is important to evaluate employees’ attention to specific tasks in order to prevent accidents and improve work quality. The presented method improves the current knowing workflow by applying the head pose estimation instead face detection for training and inference. The promisors results are presented and open points are also discussed. © 2020, IFIP International Federation for Information Processing.

关键词： Neural networks

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