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67th Annual Conference and Expo of the Institute of industrial Engineers 2017

作者： Moura, Louisi Francis De Lima, Edson Pinheiro Van Aken, Eileen Deschamps, Fernando Treinta, Fernanda Tavares Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil Grado Department of Industrial and Systems Engineering Virginia Tech Blacksburg United States

ISBN: (纸本)9780983762461

Nonprofit organizations have specific and complex characteristics that influence their performance measurement and differentiate it from others business models. So, it is important to know what are the factors, as motivations, barriers, and drivers, that influence the design of a performance measurement system to develop a complete system with all organizational issues, as social aspects, accountability, and legitimacy. A systematic literature review was previously performed and a set of factors that influence the design of performance measurement system for nonprofit organizations were identified. This paper presents a case study conducted in a Fire Department in the United States with the purpose investigate the set of factors in the practice. The data were collected using four techniques: interviews, documents and archival records, and observation. The findings show that the influence of the factors can vary depending on the type of organization and the paper indicates some reasons for that. Therefore, understanding the organization and these factors is a challenge for the performance measurement area to provide tools and frameworks that contribute to the organizational management and research area advance.

关键词： Social aspects

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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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Towards atomic and close-to-atomic scale manufacturing

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International Journal of Extreme Manufacturing 2019年第1期1卷 4-36页

作者： Fengzhou Fang Nan Zhang Dongming Guo Kornel Ehmann Benny Cheung Kui Liu Kazuya Yamamura Center of Micro/Nano Manufacturing Technology(MNMT) Tianjin UniversityTianjin 300072People’s Republic of China Center of Micro/Nano Manufacturing Technology(MNMT-Dublin) University College DublinIreland Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of TechnologyDalian 116024People’s Republic of China Department of Mechanical Engineering Northwestern UniversityEvanstonILUnited States of America State Key Laboratory of Ultra-Precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China Singapore Institute of Manufacturing Technology Singapore 638075 Department of Precision Science and Technology Graduate School of EngineeringOsaka UniversityOsaka 565-0871Japan

Human beings have witnessed unprecedented developments since the 1760s using precision tools and manufacturing methods that have led to ever-increasing precision,from millimeter to micrometer,to single nanometer,and to atomic *** modes of manufacturing have also advanced from craft-based manufacturing in the Stone,Bronze,and Iron Ages to precisioncontrollable manufacturing using automatic *** the past 30 years,since the invention of the scanning tunneling microscope,humans have become capable of manipulating single atoms,laying the groundwork for the coming era of atomic and close-to-atomic scale manufacturing(ACSM).Close-to-atomic scale manufacturing includes all necessary steps to convert raw materials,components,or parts into products designed to meet the user’s *** processes involved in ACSM are not only atomically precise but also remove,add,or transform work material at the atomic and close-to-atomic *** review discusses the history of the development of ACSM and the current state-of-the-art processes to achieve atomically precise and/or atomic-scale *** and future applications of ACSM in quantum computing,molecular circuitry,and the life and material sciences are also *** further develop ACSM,it is critical to understand the underlying mechanisms of atomic-scale and atomically precise manufacturing;develop functional devices,materials,and processes for ACSM;and promote high throughput manufacturing.

关键词： atomic and close-to-atomic scale ACSM manufacturing metrology single-atom manipulation

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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Design and Implementation of OLED Driving and OPD Readout Circuitry for an Optical Vibration Sensor 17

Design and Implementation of OLED Driving and OPD Readout Ci...

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17th IEEE SENSORS Conference, SENSORS 2018

作者： Wu, Yi-Cheng Kao, Yung-Hua Chao, Paul C.-P. Wey, Chin-Long Sauter, Thilo Eka, Fitrah P. Pandey, Rajeev Department of Electrical Engineering National Chiao Tung University Hsinchu300 Taiwan Institute of Electrical and Control Engineering National Chiao Tung University Hsinchu City Taiwan EECS International Graduate Program National Chiao Tung University Hsinchu City Taiwan Department for Integrated Sensor Systems Danube University Krems Austria Department of Electrical and Computer Engineering National Chiao Tung University Hsinchu City Taiwan

ISBN: (纸本)9781538647073

This study presents an organic light-emitting diode (OLED) drive circuit and an organic photo detector (OPD) readout circuits for a vibration sensor. Vibration sensor consist of micro-electro-mechanical systems (MEMS), which are OLED and OPD needs to be integrated for many applications in automation or consumer electronics. The light flux is generated by an OLED located on top of the structure and the modulated light flux is measured by an OPD. The OLED drive circuit contains pulse width modulation (PWM) driver to control PWM output for optimization of voltage operation is designed in order to minimize power consumption efficiency of device. The readout circuit includes a trans-impedance amplifier (TIA) to convert incident light of OPD to voltage output, a 14-bit analog-to-digital converter (ADC) to extract amplitude of vibration level, circuit to generate clock for time-to-digital converter (TDC) which detect frequency of vibration sensor. The designed circuit has been successfully fabricated by using TSMC 0.18 μm CMOS process, the chip area is 1.012 mm2. The power consumption of chip is about 6.2 mW. The measured frequency of PWM is about 200 kHz with 50% duty cycle. The frequency range of the vibration can be sensed well as about 10 Hz1.5 kHz, and resulting in high SNR at frequencies under 60 Hz. © 2018 IEEE.

关键词： Electric power utilization

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Multi-Objective Model Selection for Unmanned Aerial Vehicles Automatic Target Recognition systems

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IFAC-PapersOnLine 2017年第1期50卷 11607-11612页

作者： Alves Ribeiro V.H. Reynoso-Meza G. dos Santos Coelho L. Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) Curitiba Brazil Department of Electrical Engineering (PPGEE) Federal University of Parana (UFPR) Polytechnic Center Curitiba Parana Brazil

Within unmanned aerial vehicles on-going research topics, automatic target recognition is acquiring relevance. This is due to the easiness with which it is possible to acquire such devices. In order to do this, signal processing and classification techniques could be adopted. Also, in order to improve the classification ratio, optimization techniques could be used. This subject is object of study for many researchers, but the authors worry about the lack of information while using single-objective optimization techniques. The proposed work comprises the application of multi-objective optimization design in order to create an automatic target recognition system to discriminate different types of unmanned aerial vehicles. In order to accomplish this, a K-band radar system is used to send and receive electromagnetic signals, which are then processed with feature extraction techniques, and finally, applied on an artificial neural network system. In order to improve the system's classification ratio, the classifier is defined as a multi-objective problem, and evolutionary multi-objective optimization techniques are applied. Finally, in order to select the best possible trade-off, the level diagrams multi-criteria decision making methodology is used to compare different solutions. © 2017

关键词： Artificial neural networks Classifiers Electromagnetic signals Genetic algorithms Multi-objective optimization Optimization Signal processing

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On the comparison of three numerical methods applied to building simulation: finite-differences, RC circuit approximation and a spectral method.

arXiv

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arXiv 2019年

作者： Berger, Julien Gasparin, Suelen Dutykh, Denys Mendes, Nathan Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LOCIE Chambéry73000 France Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LAMA Chambéry73000 France Thermal Systems Laboratory Mechanical Engineering Graduate Program Pontifical Catholic University of Paraná Rua Imaculada Conceição 1155 Curitiba - ParanáCEP: 80215-901 Brazil

Predictions of physical phenomena in buildings are carried out by using physical models formulated as a mathematical problem and solved by means of numerical methods, aiming at evaluating, for instance, the building thermal or hygrothermal performance by calculating distributions and fluxes of heat and moisture transfer. Therefore, the choice of the numerical method is crucial since it is a compromise among $i$ the solution accuracy, $ii$ the computational cost to obtain the solution and $iii$ the complexity of the method implementation. An efficient numerical method enables to compute an accurate solution with a minimum computational run time $CPU$. On that account, this article brings an investigation on the performance of three numerical methods. The first one is the standard and widely used finite-difference approach, while the second one is the so-called RC approach, which is a particular method brought to the building physics area by means of an analogy of electric circuits. The third numerical method is the spectral one, which has been recently proposed to solve nonlinear diffusive problems in building physics. The three methods are evaluated in terms of accuracy on the assessment of the dependent variable $temperature or vapor pressure$ or of density of fluxes for three different cases: i\) heat diffusion through a concrete slab, ii\) moisture diffusion through an aerated concrete slab and iii\) heat diffusion using measured temperatures as boundary conditions. Results highlight the spectral approach as the most accurate method. The RC based model with a few number of resistances does not provide accurate results for temperature and vapor pressure distributions neither to flux densities nor conduction loads. Copyright © 2019, The Authors. All rights reserved.

关键词： Numerical methods

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Fabrication of $\Omega$ -gated Negative Capacitance FinFETs and SRAM

Fabrication of $\Omega$ -gated Negative Capacitance FinFETs ...

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International Symposium on VLSI Technology, systems and Applications

作者： P.-J. Sung C.-J. Su D. D. Lu S.-X. Luo K.-H. Kao J.-Y. Ciou C.-Y. Jao H.-S. Hsu C.-J. Wang T.-C. Hong T.-H. Liao C.-C. Fang Y.-S. Wang H.-F. Huang J.-H. Li Y.-C. Huang F.-K. Hsueh C.-T. Wu W. C.-Y. Ma K.-P. Huang Y.-J. Lee T.-S. Chao J.-Y. Li W.-F. Wu W.-K. Yeh Y.-H. Wang National Nano Device Laboratories Hsinchu Taiwan National Cheng Kung University Tainan Taiwan Dept. of Electrical Engineering National Sun Yat-Sen University Kaohsiung Taiwan Dept. of Electrophysics National Chiao Tung University Hsinchu Taiwan Mechanical and Systems Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan Dept. of Electrical Engineering and Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan National Applied Research Laboratories Taipei Taiwan

Ω -gated negative capacitance (NC) FinFETs, CMOS inverters and SRAM are fabricated and analyzed. Forming gas annealing (FGA) is performed and found to not only enhance ferroelectricity (FE) but also the NCFET electrostatics, in terms of higher I ON , smaller hysteresis and subthreshold slop (SS). The SS is less than 60 mV/dec for both N-FinFET and P-FinFET in this work. Moreover, the CMOS inverter shows more symmetric and larger voltage gain after FGA.

关键词： Logic gates FinFETs Inverters Fabrication Random access memory Iron Passivation

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Critical success factors for digital manufacturing implementation in the context of industry 4.0 67

Critical success factors for digital manufacturing implement...

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67th Annual Conference and Expo of the Institute of industrial Engineers 2017

作者： Shinohara, Ana Carolina Da Silva, Elias Hans Dener Ribeiro De Lima, Edson Pinheiro Deschamps, Fernando Da Costa, Sergio Eduardo Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology Parana Brazil Federal University of Parana Curitiba Brazil

ISBN: (纸本)9780983762461

Considering Industry 4.0 context, Digital Manufacturing (DM) stands out by combining conventional manufacturing technologies with digital techniques for modeling and analyzing the production system. Basically, its main goal is to assist product lifecycle management and to enable the development, through improvements and maturity evolution, of all aspects related to factory and product design. It is noticed there is a significant amount of information related to DM concepts and technologies, however its implementation process is not widely framed. This paper aims to propose a set of critical success factors (CSF) for DM implementation. For mapping CSF it is applied a research strategy based on academic literature review and consulting reports. Therefore, interviews were conducted for assessing digital manufacturing CSF influences in automotive assembly factory. The main result is a conceptual framework to assist organizations in developing a strategy for DM implementation, and map for that purpose all the required resources and capabilities. This research contributes for updating digital manufacturing CSF discussion in the new context of Industry 4.0 and it provides a guide to check the organizational readiness for DM.

关键词： Industry 4.0

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A semantic reconciliation view to support the interoperable information relationships in product design and manufacturing

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IFAC-PapersOnLine 2017年第1期50卷 15896-15903页

作者： Szejka, Anderson L. Junior, Osiris Canciglieri Panetto, Hervé Aubry, Alexis Loures, Eduardo F. Rocha Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Centre de Recherche en Automatique de Nancy University of Lorraine Vandoeuvre-lès-Nancy Cedex France CNRS CRAN UMR 7039 France

Global competitiveness has challenged manufacturing industry to rationalize different ways of bringing to the market new products in a short lead-time with competitive prices, high quality, and customization. Modern Product Development Process (PDP) has been requiring simultaneously collaboration of multiple groups, exchanging information from multiple perspectives within and across enterprise boundaries. However, semantic interoperability issues (misinterpretation and mistakes) in view of the information heterogeneity from multiple perspectives and their relationships. This research proposes a semantic reconciliation view to support the interoperable information relationships in product design and manufacturing. This view is part of the conceptual framework of an Interoperable Product Design and Manufacturing System (IPDMS). The semantic reconciliation method uses three approaches (Adjustment Context, Ontology Intersection, and Semantic Alignment) to provide support for the semantic information relationships across the product design and manufacturing. The method is applied in a rotational thin-wall plastic injected design and manufacturing and evaluated through the development of semantic rules responsible for the information mapping of sharing, conversion and translation. This semantic rules were modeled in Semantic Web Rule Language (SWRL) supported by Web Ontology Languages (OWL). Sequentially, the potential benefits and limitation of the method was discussed, contributing to the semantic information interoperability during the development of complex products. © 2017

关键词： Product design Competition industrial research Interoperability Manufacture Ontology Product development Semantics Formal Rules Information heterogeneity Manufacturing industries Multiple domains Product development process Semantic information Semantic interoperability Semantic Web Rule Language(SWRL)

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