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Self-Awareness for Autonomous systems

PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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Linearization of two-state thruster models

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Journal of Physics: Conference Series 2020年第1期1490卷

作者： Dieky Adzkiya Hendro Nurhadi Teguh Herlambang Department of Mathematics Institut Teknologi Sepuluh Nopember Indonesia Center of Excellence for Mechatronics and Industrial Automation Research Center Institut Teknologi Sepuluh Nopember Indonesia Department of Industrial Mechanical Engineering Institut Teknologi Sepuluh Nopember Indonesia Study Program of Information Systems Universitas Nahdlatul Ulama Surabaya Indonesia

A thruster is a device used for station keeping, attitude control, in the reaction control system, or long-duration, low-thrust acceleration. Thruster is one of the main components in autonomous surface vehicle. In th...

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Additive nanomanufacturing of lab-on-a-chip fluorescent peptide nanoparticle arrays for Alzheimer＇s disease diagnosis

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Bio-Design and Manufacturing 2018年第3期1卷 182-194页

作者： Leming Sun Zhen Fan Tao Yues Jun Yin Jianzhong FU Mingjun Zhang Department of Biomedical Engineering College ofEngineering Ohio State University Columbus OH 43210USA School of Life Sciences Northwestern PolytechnicalUniversity Xi'an 710072 Shaanxi China Department of Polymeric Materials School of MaterialScience and Engineering Tongji UniversityShanghai 201804 China Institute for Advanced Study TongjiUniversity Shanghai 200092 China School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering ZhejiangUniversity Hangzhou 310028 China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province School of Mechanical EngineeringZhejiang University Hangzhou 310028 China Dorothy M. Davis Heart & Lung Research Institute The OhioState University Wexner Medical Center Columbus OH43210 USA Interdisciplinary Biophysics Graduate Program Ohio StateUniversity Columbus OH 43210 USA

This paper proposes an additive nanomanufacturing approach to fabricate a personalized lab-on-a-chip fluorescent peptide nanoparticles （f-PNPs） array for simultaneous multi-biomarker detection that can be used in Alzheimer＇s disease （AD） diagnosis. We will discuss optimization techniques for the additive nanomanufacturing process in terms of reliability, yield and manufacturing efficiency. One contribution of this paper lies in utilization of additive nanomanufacturing techniques to fabricate a patient-specific customize-designed lab-on-a-chip device for personalized AD diagnosis, which remains a major challenge for biomedical engineering. Through the integrated bio-design and bio-manufacturing process, doctor＇s check- up and computer-aided customized design are integrated into the lab-on-a-chip array for patient-specific AD diagnosis. In addition, f-PNPs with targeting moieties for personalized AD biomarkers will be self-assembled onto the customized lab-on-a- chip through the additive nanomanufacturing process, which has not been done before. Another contribution of this research is the personalized lab-on-a-chip f-PNPs array for AD diagnosis utilizing limited human blood. Blood-based AD assessment has been described as ＂the holy grail＂ of early AD detection. This research created the computer-aided design, fabrication through additive nanomanufacturing, and validation of the f-PNPs array for AD diagnosis. This is a highly interdisciplinary research contributing to nanotechnology, biomaterials, and biomedical engineering for neurodegenerative disease. The conceptual work is preliminary with intent to introduce novel techniques to the application. Large-scale manufacturing based on the proposed framework requires extensive validation and optimization.

关键词： Nanomanufacturing Lab-on-a-chip Fluorescent peptide nanoparticle Alzheimer＇s disease Diagnosis

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Manufacture of hybrid pieces using recycled R-PET, polypropylene PP and cocoa pod husks ash CPHA, by pneumatic injection controlled with LabVIEW Software and Arduino Hardware

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IOP Conference Series: Materials Science and engineering 2020年第1期844卷

作者： A D Rincón-Quintero L A Del Portillo-Valdés A Meneses-Jacomé C G Cárdenas-Arias C L Sandoval-Rodriguez J G Ascanio-Villabona B E Tarazona-Romero J A Sandoval-Baldión J C Ortiz-Ríos R A Mantilla-Olejua Design and materials research group (DIMAT) Automation and Control Energy Systems Research Group (GISEAC) Electromechanical engineering Faculty of Natural Sciences and Engineering Technological Units of Santander (UTS) Calle de los estudiantes No 9-82 680005 Bucaramanga Colombia. Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV/EHU) Engineer Torres Quevedo Plaza 1 48013 Bilbao BI España.

The research consists of the design and automation of a pneumatic injector, applying LabVIEW software through an integrated Arduino hardware module, programming through an interface, the pressure that guarantees the geometric quality in the models obtained. The final result shows a piece designed in mass fraction with 40% polypropylene resin (PP), 40% recycled polyethylene terephthalate in the form of scales (R-PET) and 20% from cocoa pod husks ash (CPHA). Likewise, the platform allows to define and control the conditions of generation of the product, defining a pattern according to the type and the mass proportion between the resin of PP, R-PET and CPHA. In addition, the design of the mechanical and thermal elements, consisting of the piston and the system of clamp-type resistors, the pneumatic injection means and the raw material feed gate, improve the efficiency and effectiveness of the equipment.

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Incidence of corrosion in low voltage electrical conductor

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IOP Conference Series: Materials Science and engineering 2020年第1期844卷

作者： J G Ascanio-Villabona A D Rincón-Quintero C G Cardenas-Arias C L Sandoval-Rodriguez Automation and Control Energy Systems Research Group (GISEAC) Design and materials research group (DIMAT) Electromechanical engineering Faculty of Natural Sciences and Engineering Technological Units of Santander (UTS) Calle de los students No 9-82 680005 Bucaramanga Colombia. Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV/EHU) Engineer Torres Quevedo Plaza 1 48013 Bilbao BI España.

This research used a salt spray booth to generate accelerated corrosion in a copper conductor, AWG 12-gauge purity of 95.95%, this caliber used in residential electrical installations according RETIE Chapter 3 Article 20 and NTC 2050 338. Additionally, to provide an enabling stage of corrosion, type mouse tail splices were made. The amount of corrosion is measured by weight loss, and incidence of corrosion in transport was evaluated from two perspectives: difference active at the beginning and end of the test power, and the change in resistance of the specimen measured at different times of the experiment. The test piece was subjected to a flow of alternating current into a low voltage system, while corrosion occurred. Using two single-phase two-wire electronic meters, the rate of power supply circuit test was recorded, to check for changes in the energy carried from exposure to the corrosive environment wire. The data collected showed that exposure times of the samples in the salt spray chamber involvement was not very noticeable in the copper wire, highlighting small corrosion spots. Similarly, the energy no changes were observed to induce corrosion, however, the resistance of the wire showed a total change of up to 2.4 [milliohms]. The data collected showed that exposure times of the samples in the salt spray chamber involvement was not very noticeable copper wire, highlighting small corrosion spots. Similarly, the energy no changes were observed to induce corrosion, however, the resistance of the wire showed a total change of up to 2.4 [milliohms].

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Building a prototype for functional analysis of the energy potential of the water flow in pipe ½ 'using microturbines applied to Unidades Tecnológicas de Santander

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IOP Conference Series: Materials Science and engineering 2020年第1期844卷

作者： J G Ascanio-Villabona C L Sandoval-Rodriguez A D Rincón-Quintero B E Tarazona-Romero R E Paez-Castro Automation and Control Energy Systems Research Group (GISEAC) Design and materials research group (DIMAT) Electromechanical engineering Faculty of Natural Sciences and Engineering Technological Units of Santander (UTS) Calle de los estudiantes No 9-82 680005 Bucaramanga Colombia. Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV/EHU) Engineer Torres Quevedo Plaza 1 48013 Bilbao BI España.

The project aims to build a working prototype for analysis of potential energy of water flow in pipe ½ 'by using micro tangential turbines with a loss running low, constituting a small-scale model for the study power generation thereof, setting parameters related to a hydraulic distribution system operation residential drinking water. Taking advantage of the electric power, a microturbine is obtained by decanting flow through it. The research methodology is descriptive quantitative approach, to develop the project initially performed a literature review, followed by identification of the electrical variables and characteristics of the prototype to generate a simulation of a real hydraulic circuit, it followed this comes the recognition and selection of the elements for retrofitting. Thus, as looking through prototype and analysis of the energy potential, generating an academic, social and environmental impact on the institution; since being pioneers in this type of project it is expected to generate the conceptual foundations in the community, enabling understanding of the use of this resource and future implementation. social and environmental in the institution; since being pioneers in this type of project it is expected to generate the conceptual foundations in the community, enabling understanding of the use of this resource and future implementation. social and environmental in the institution; since being pioneers in this type of project it is expected to generate the conceptual foundations in the community, enabling understanding of the use of this resource and future implementation.

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Development of an artificial vision system that allows non-destructive testing on flat concrete slabs for surface crack detection by processing of digital images in MATLAB

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IOP Conference Series: Materials Science and engineering 2020年第1期844卷

作者： BE Romero-Tarazona CL Rodriguez-Sandoval JG Villabonai-Ascanio A D Rincón-Quintero Automation and Control Energy Systems Research Group (GISEAC) Design and materials research group (DIMAT) Electromechanical Engineering Faculty of Natural Sciences and Engineering Technological Units of Santander (UTS) Road No 9-82 students 680005 Bucaramanga Colombia. Energy in Building research group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV/EHU) Engineer Torres Quevedo Plaza 1 48013 Bilbao BI España

A computing tool based on an intelligent algorithm generates new alternatives for an early crack detection on flat concrete slab in a surface testing. First, a system able to autonomously detect a surface crack, by means of a digital image processing system has been developed. This system carries on an effective selection of data by an algorism bound to a specialized MATLAB software that can assess in full detail the surface conditions of a concrete slab, and finding out any affected spot.

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Characterization of the mechanical vibration signals associated with unbalance and misalignment in rotating machines, using the cepstrum transformation and the principal component analysis

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IOP Conference Series: Materials Science and engineering 2020年第1期844卷

作者： C L Sandoval-Rodriguez J G Ascanio Villabona C G Cárdenas-Arias A D Rincon-Quintero B E Tarazona-Romero Energy Systems Automation and Control Research Group (GISEAC) Design and materials research group (DIMAT) Electromechanical Engineering Faculty of Natural Sciences and Engineering Technological Units of Santander (UTS) Road No 9-82 students 680005 Bucaramanga Colombia. Energy in Building Research Group (ENEDI) Doctoral Program in Energy Efficiency and Sustainability in Engineering and Architecture Department of Machines and Thermal Engines University of the Basque Country (UPV / EHU) Engineer Torres Quevedo Square 1 48013 Bilbao BI Spain.

In the present document, the Cepstrum transform and the analysis of principal components were used to differentiate amplitudes in the mechanical vibrations produced by unbalance and misalignment with respect to a reference group. This document requires three stages. It begins with levelling in order to establish the control group. The unbalancing was carried out with a known mass located in the two radial distances of the first and second flywheels. The misalignment was made by running the sliding supports back 0.5, 1.0 and 1.5 degrees. In the second stage, Matlab algorithms were created for both cepsctrum and main component analysis. In the last stage the obtained data were analyzed identifying the differences that may exist in the analyzed records. The project focused on the use of Matlab to find differences at a frequency of 30 Hz. The results obtained made it possible to determine that it is possible to find differences with the proposed methodology.

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE NEUROSCIENCE 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

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Cooperative Mainstream Traffic Flow Control on Freeways

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IFAC-PapersOnLine 2016年第32期49卷 89-94页

作者： Müller, Eduardo R. Carlson, Rodrigo C. Kraus, Werner Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina FlorianópolisSC88040-900 Brazil

Mainstream Traffic Flow Control (MTFC) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Using Variable Speed Limits (VSL) as actuators for MTFC, we study the effects of different penetration rates of automated vehicles on MTFC-VSL. Automated vehicles can be designed to be much more strict in complying with VSL, which leads to a better MTFC performance than with ordinary VSL. Simulation results show that higher penetration rates translate into better performance with a significant effect up to 30% penetration rate, and very little gains beyond that; and that mixing forms of applying VSL may be detrimental to traffic. © 2016

关键词： Highway traffic control Feedback control Flow control Speed control Automated vehicles Co operative systems Freeway traffic controls Mainstream flow Maximize throughput Penetration rates Traffic flow control Variable speed limits

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