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ELECTRICALLY INDUCED TRANSMISSIVITY MODULATION IN POLYMERIC THIN-FILM FABRY-PEROT ETALONS

APPLIED OPTICS 1989年第20期28卷 4442-4445页

作者： ELDERING, CA KOWEL, ST KNOESEN, A []The authors are with University of California Davis Department of Electrical Engineering Computer Science Organized Research Program on Polymeric Ultrathin Film Systems Davis California 95616

We report the observation of electrically induced changes in transmissivity in Fabry-Perot devices consisting of spin-cast azo-dye/polymer films deposited between gold mirrors. In poled samples the observed modulation shows a linear dependence on the applied modulating voltage. The ratio of the transmissivity modulation observed using incident transverse magnetic polarization to that observed using transverse electric polarization is used to demonstrate that the electrooptic effect dominates the modulation. This is, to our knowledge, the first reported use of a polymeric thin film linear electrooptic material in a Fabry-Perot structure and demonstrates the use of etalons to enhance electrooptic effects in very thin films.

关键词： Electrooptical effects Electrooptical modulators Materials processing Refractive index Thin film applications Thin films

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Assessment of Dynamic Photovoltaic Shading systems on Energy Performance of Commercial Buildings

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Journal of engineering for Sustainable Buildings and Cities 2022年第4期3卷 041003页

作者： Alwelayti, Dana Dehwah, Ammar H.A. Krarti, Moncef Building Systems Program Civil Environmental and Architectural Engineering Department University of Colorado Boulder 80309 CO United States

In this paper, the energy benefits of dynamic photovoltaic (PV)-integrated overhang systems are evaluated for office buildings. The benefits of dynamic PV-integrated overhangs combined energy efficiency by decreasing both heating and cooling energy demand and on-site renewable power generation by deploying tracking PV panels. The energy performance of dynamic PV-integrated overhangs is considered for various design and operation conditions. Specifically, the impacts of various design features are considered such as overhang depth, window size, glazing type, and heating, ventilation, and air conditioning (HVAC) system type. Moreover, the effects of operating conditions are assessed including the location of the building and the control strategy of the dynamic PV-integrated systems such as load-tracking, demand-tracking, and PV-tracking. The results of the various analyses indicate that the heating and cooling energy demands of the dynamic overhangs are mostly affected by the window glazing type and window overhang depths. The analysis shows that the use of demand-tracking maximizes the energy performance of the dynamic PV-integrated overhangs when deployed to US office buildings. Copyright © 2022 by ASME.

关键词： commercial buildings dynamic shading energy efficiency optimal controls PV-integrated overhangs windows

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PATTERN RECOGNITION BY USING AN ASSOCIATIVE MEMORY

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IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS 1966年第6期EC15卷 944-+页

The purpose of this paper is to present a simple template-matching pattern recognition technique by using any general-purpose associative memory. The input patterns for recognition may have wide variations, provided that the distinct features of individual pattern classes can be extracted. Each pattern class is allowed to have deviations in size, style, orientation, etc. within certain limits. This pattern recognition technique is extremely efficient in handwritten character recognition, which is used for illustration in this paper. Because each input pattern is processed with all the pattern classes simultaneously, the speed of this pattern recognition technique is very high. It is found that most input patterns are recognized within first comparison process and no input patterns require more than two comparison processes for their recognition.

关键词： Pattern recognition Associative memory Character recognition Pattern classification Feature extraction Convergence Machine learning Piecewise linear techniques Parallel processing Random number generation

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Preparing future entrepreneurs: reflections about the COVID-19 impacts on the entrepreneurial potential of Brazilian students

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Journal of Work-Applied Management 2021年第2期13卷 277-283页

作者： Cazeri, Gustavo T. Anholon, Rosley Rampasso, Izabela Simon Quelhas, Osvaldo L.G. Leal Filho, Walter School of Mechanical Engineering State University of Campinas Campinas Brazil PNPD/CAPES Program Doctoral Program in Sustainable Management Systems Federal Fluminense University Niterói Brazil Master Program in Management Systems Doctoral Program in Sustainable Management Systems Federal Fluminense University Niterói Brazil Faculty of Life Sciences Hamburg University of Applied Sciences Hamburg Germany

Purpose: This viewpoint aims to present reflections on the coronavirus disease 2019 (COVID-19) pandemic scenario and the entrepreneurial potential of Brazilian students. Guidelines are proposed to support debates in the academic environment and better prepare future entrepreneurs to the labour market. Design/methodology/approach: Since this is a viewpoint article, some statements presented here are characterised by the authors' opinions. However, for a better foundation, bibliographic research related to the theme was carried out. Findings: In the authors' point of view, the COVID-19 pandemic scenario may negatively influence the decisions of Brazilian students that are characterised as potential future entrepreneurs. Educators can use the guidelines presented here to conduct debates with students in order to clarify aspects related to profile, behaviour and other issues. Originality/value: By understanding better entrepreneurial aspects in the COVID-19 pandemic scenario, Brazilian students can make better decisions. This initiative will contribute to future success in the Brazilian entrepreneurial activity and national economy. © 2021, Gustavo T. Cazeri, Rosley Anholon, Izabela Simon Rampasso, Osvaldo L.G. Quelhas and Walter Leal Filho.

关键词： Brazilian higher education institutions COVID-19 pandemic Entrepreneurial activity Labour market

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USE OF NEURAL NETWORKS TO IDENTIFY AND COMPENSATE FOR FRICTION IN PRECISION, POSITION CONTROLLED MECHANISMS

USE OF NEURAL NETWORKS TO IDENTIFY AND COMPENSATE FOR FRICTI...

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27TH ANNUAL MEETING OF THE INDUSTRY APPLICATIONS SOC OF IEEE

作者： SEIDL, DR REINEKING, TL LORENZ, RD Department of Electrical and Computer Engineering Manufacturing Systems Engineering Program University of Wisconsin - Madison 1415 Johnson Drive Madison 53706 WI United States

ISBN: (纸本)0780306341

This paper demonstrates that artificial neural networks can identify and compensate for friction in precision, position controlled mechanisms improving performance substantially. A major contribution of this research is that knowledge of the friction's form is used to determine the neural network's structure. This unique approach solves network sizing and weight initializing problems. The friction model is used for feed-forward decoupling of friction-induced torque. The neural network also explicitly incorporates inertia compensation and linear feedback control. It can thus be readily initialized to perform identically to an existing controller. Adaptation to enhance performance can then proceed from that point. This solves the problem of providing good control in the early stages of adaptating the network's weights. Another contribution of this research is a demonstration of the trajectory dependence of static friction compensation with a discrete time controller. A hypothesis to explain this trajectory-dependent behavior is proposed. The paper includes both theoretical formulation and practical implementation results applied to control of a commercial d.c. motor having a significant amount of static friction. © IEEE.

关键词： Neural networks

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Minimization of combined sewer overflows by large-scale mathematical programming

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Computers and Operations Research 1974年第3-4期1卷 421-435页

作者： Labadie, John W. Grigg, Neil S. Trotta, Paul D. Water Resource Systems Program Department of Civil Engineering Colorado State University Fort Collins ColoradoU.S.A.

There is a critical need for the development and implementation of control strategies for minimizing receiving water pollution caused by overflows from urban combined sewer systems. Automation and control of such systems has risen as a viable approach to this problem. Control is carried out through regulation of ambient and/or auxiliary storage in the system. The goal is to detain storm flows in the system long enough to prevent flows of a magnitude that exceeds treatment plant capacity, thereby reducing overflow into receiving waters. The problem is first attacked by dividing the large combined sewer system into several mildly interconnected subsystems for which control logic can be developed from application of mathematical programming algorithms consistent with the special characteristics of each subsystem. A flow-projection technique is developed for subsystems not amenable to direct solution by standard optimization techniques. © 1974.

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Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Sub-optimal Perceptron Controller Using WOA Algorithm for Fa...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Oliveira, L.H. Bautista, J. Pinto-Lopera, Jesus Mendoza-Penaloza, Jose Munoz, Daniel M. University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Caquetá Colombia University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities. The efficacy of ANNs heavily relies on their learning process. Heuristic search algorithms have been proposed in literature as reliable options for optimizing neural networks utilizing the Perceptron architecture. This paper presents an suboptimal neural network Perceptron training method employing the Whale Optimization Algorithm for the application of farming watering mobile robots. To achieve this, a fitness function based on system responses such as overshoot, settling Time, and steady-state Error was developed. The sub-optimal Perceptron controller was then implemented using MATLAB, CoppeliaSim software and the EVA robot, resulting in a 66.17% overshoot, a 4.7% steady-state error, and a settling time of 3.05 seconds. Moreover, the sub-optimal Perceptron controller was mapped onto a System on Chip FPGA AMD-Xilinx Zynq 7020, resulting in a hardware resources consumption of 1,870 (3.52%) Lookup table, 2 (0.9%) Digital Signal Processing blocks, 1,019 (0.96%) Flip-Flops and a power consumtion of 0.005 W. Finally, Hardware-in-The-Loop validation was performed using CoppeliaSim, Python, Universal Direct Memory Access, and the EVA robot. The results showed an overshoot of 94.83%, a settling time of 2 seconds, and a steady-state error of 4.5%. © 2024 IEEE.

关键词： MATLAB

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Transplantation of human kidney organoids elicited a robust allogeneic response in a humanized mouse model

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Kidney International 2025年第6期107卷 1011-1016页

作者： Mon-Wei Yu, Samuel Choi, John Yongjoon Kady, Jamie De Cos, Marina Wong, Jenny S. King, Emily Younis, Nour Al Rahy, Nadim Al Chaar, Soltan Djebli, Houda Eskandari, Siawosh Samuel, Stephen Merhej, Tamara Sukumar, Nivedha Lin, Jia-Ren Chen, Jia-Yun Xu, Yilin Santagata, Sandro Weins, Astrid Yeung, Melissa Cravedi, Paolo Campbell, Kirk N. Lemos, Dario Bonventre, Joseph V. Brehm, Michael A. Azzi, Jamil Department of Medicine Nephrology Division Mount Sinai Hospital New York NY United States Department of Medicine Renal Division Brigham and Women's Hospital Harvard Medical School Boston MA United States Program in Molecular Medicine Diabetes Center of Excellence University of Massachusetts Chan Medical School Worcester MA United States Doctoral School of Science and Technology Lebanese University Beirut Lebanon Institute of Biological Science Faculty of Medical Sciences Mohammed VI Polytechnic University Benguerir Morocco Department of Biotechnology Northeastern University Boston MA United States Department of Systems Biology Harvard Medical School Boston MA United States Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston MA United States Harvard Stem Cell Institute Cambridge MA United States Department of Medicine Division of Engineering in Medicine Brigham and Women's Hospital Harvard Medical School Boston MA United States

Human kidney organoids derived from embryonic stem cells (ESCs) or induced pluripotent stem cells (iPSCs) have become novel tools for studying various kidney pathologies. Here, we transplanted ESC-derived kidney organoids into humanized mice with a mature human adaptive immune system developed through thymic education. As judged by histology and immunophenotyping, the transplanted HLA-mismatched kidney organoids trigged a robust alloimmune response, characterized by a dense immune cell infiltrate and enhanced memory T cell phenotype in the allograft 30 days post-transplantation. Multiplexed immunofluorescence revealed expression of functional markers of various immune cell infiltrates in response to organoid allografts, mimicking the T cell-mediated rejection process in humans. This validated our model as a novel platform to study various therapeutic strategies to control alloimmunity. Splenocytes isolated from organoid-transplanted hosts showed an alloantigen-specific memory response against 2D kidney organoids ex vivo. Overall, our study indicates that transplanting kidney organoids in humanized mice may be a valuable tool for studying human allogeneic immunity. © 2025 International Society of Nephrology

关键词： human kidney organoids humanized mice model kidney transplantation

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A NONBULK ADDITION TECHNIQUE FOR ASSOCIATIVE PROCESSORS

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IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS 1966年第6期EC15卷 938-+页

作者： YAU, SS YANG, CC Information-Processing and Control Systems Laboratory and Department of Electrical Engineering Northwestern University Evanston IL USA Program of Information Science and the Department of Electrical Engineering Washington State University Pullman USA Information-processing and Control Systems Laboratory and Department of Electrical Engineering Northwestern University Evanston IL USA

A process is described for continuing adaptation, after hyperplanes that separate pattern classes in pattern space have been found, in order to increase the distance between sample patterns and hyperplanes.

关键词： Boolean functions Logic Network synthesis Testing Silicon carbide Sufficient conditions Arithmetic Software performance Associative memory Hardware

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Evaluating Standard Search Enhancements Performance in Zen Puzzle Garden

Evaluating Standard Search Enhancements Performance in Zen P...

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2023 IEEE CHILEAN Conference on Electrical, Electronics engineering, Information and Communication Technologies, ChileCon 2023

作者： Schaa, Hans Del Solar-Zavala, Jose A. Barriga, Nicolas A. Doctoral Program in Engineering Systems Universidad de Talca Curico Chile Universidad de Talca Faculty of Engineering Talca Chile

ISBN: (纸本)9798350369533

Sokoban-type puzzles and their variants involve complex planning and decision-making challenges in wide and deep search spaces. Such scenarios are interesting for testing path-planning algorithms. This document uses A ∗ and IDA ∗ (Iterative Deepening A *) algorithms to solve Zen Puzzle Garden game boards;a Sokoban-type puzzle where you need rake the sandy area completely. The algorithms are evaluated in terms of speed and node expansion in moderately complex boards. Additionally, we implement three improvements: transposition tables, move ordering, and deadlock tables. The results show that IDA ∗ with the three proposed improvements is on average faster than A *. Although its strength is its low memory usage, it can be seen that it is very competitive versus A ∗ in terms of time usage. Transposition tables and deadlocks tables reduce by 500 times the number of nodes expanded by the IDA ∗ without improvements. On the other hand, the ordering of nodes is not very effective for some boards, which causes a worse performance of the IDA ∗ algorithm, giving rise to greater exploration in boards that do not lead to the solution. Studying these algorithms can be beneficial in the field of path-finding for Sokoban-type game domains or solver-based procedural content generators. © 2023 IEEE.

关键词： Decision making

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