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15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018

作者： Zhang, Siyang Shapiro, Nicholas Gehrke, Gretchen Castner, Jessica Liu, Zhenlei Guo, Beverly Zhang, Jianshun Haines, Sarah Kormos, David Frey, Paige Qin, Rongjun Dannemiller, Karen C. Department of Computer Science and Engineering Ohio State University United States Public Laboratory for Open Technology and Science Department of Mechanical and Aerospace Engineering Syracuse University Environmental Science Graduate Program Ohio State University United States Department of Civil Environmental and Geodetic Engineering College of Engineering Ohio State University United States Strand Associates Incorporated Department of Electrical and Computer Engineering Ohio State University United States Department of Environmental Health Sciences College of Public Health Ohio State University United States

ISBN: (纸本)9781713826514

Formaldehyde is a ubiquitous contaminant in the indoor environment that is both a carcinogen and irritant. The goal of this project is to develop a smartphone-based app for use by citizen scientists or researchers that can be paired with low-cost colorimetric badges for detection of indoor formaldehyde. We conducted both national and geographically-targeted surveys prior to app design. We have subsequently developed the app and conducted a beta test. Surveys of 147 individuals indicated broad public interest in formaldehyde testing using smartphone technology. Testing of the badges indicated consistent change in illumination with increasing formaldehyde exposure. Beta testing indicated users were able to navigate the existing app, and highlighted areas for improvement including incorporation of public surveys. Planned future analysis includes extensive calibration testing and a community-based field test. © 2018 15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018. All rights reserved.

关键词： Formaldehyde

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Dilatometric study of ferroelectric Rb2CdI4 monoclinic crystal grown by czochralski method

Dilatometric study of ferroelectric Rb2CdI4 monoclinic cryst...

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12th International Meeting on Ferroelectricity, IMF-12 and the 18th IEEE International Symposium on Applications of Ferroelectrics, ISAF-18

作者： Yamaguchi, T. Gotou, S. Miyoshi, T. Kasano, H. Mitsui, T. Kurihama, T. Shimizu, F. Takashige, M. Department of Electrical Engineering School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Electrical Engineering Graduate School of Science and Engineering Meisei University Hino-shi Tokyo 191-8506 Japan Department of Physics Graduate School of Science and Engineering Yamaguchi University Yamaguchi-shi Yamaguchi 753-8512 Japan Laboratory of Developmental Program Faculty of Pharmaceutical Sciences Teikyo University Sagamihara-shi Kanagawa 229-0195 Japan Department of Electronics and Information Engineering College of Engineering Chubu University Kasugai-shi Aichi 487-8501 Japan Department of Electronics and Computer Science College of Science and Engineering Iwaki Meisei University Iwaki-shi Fukushima 970-8551 Japan

Crystal growth of Rb2CdI4 was performed by Czochralski method. Transparent colourless crystals with monoclinic structure were obtained. Temperature dependence of the dielectric constant along the b-axis was measured with variation of frequency. The thermal expansions x i (i = a, b, c and a′;a′ = a + c) along the four independent axes were measured both by clip-type strain-gauge dilatometer and X-ray diffraction methods. These results show distinct anomalies associated with the ferroelectric transition at TC= 210 K. Copyright © 2010 Taylor & Francis Group, LLC.

关键词： X ray diffraction

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Effect of Periodic Poling on Self-phase Modulation in Thin-film Lithium Niobate Waveguides

Effect of Periodic Poling on Self-phase Modulation in Thin-f...

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Frontiers in Optics, FiO 2022

作者： Gül, Gamze Abdelsalam, Kamal Fathpour, Sasan Lee, Kim F. Kanter, Gregory S. Kumar, Prem Graduate Program in Applied Physics Northwestern University 2145 Sheridan Road EvanstonIL60208 United States CREOL The College of Optics and Photonics University of Central Florida OrlandoFL32816 United States Department of Electrical and Computer Engineering University of Central Florida OrlandoFL32816 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States

We study self-phase modulation of sub-picosecond telecom wavelength pulses in partially periodically poled thin-film lithium niobate waveguides. We experimentally and computationally investigate the effect of phase mi... 详细信息

ISBN: (纸本)9781557528209

关键词： Thin films

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Light-Based Analog Computing Using a Single Array of Polarizable Particles 12

Light-Based Analog Computing Using a Single Array of Polariz...

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12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018

作者： Rardi, Y. Alu, A. Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Electrical Engineering City College of New York New YorkNY10031 United States

ISBN: (纸本)9781538647028

Light-based signal processing in the spatial domain enables parallel computation, resulting in faster operations in comparison to digital-based systems. We propose a basic platform to realize spatial differentiation and integration of the impinging wavefront using a basic array of electric/magnetic dipoles. We also leverage bianisotropic inclusions to realize odd operations on the impinging wavefront. Our results show that a single array of polarizable particles enables sufficient degrees of freedom to realize optical analog computing using metasurfaces. © 2018 IEEE.

关键词： Wavefronts

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Metagratings for Efficient Wavefront Manipulation 12

Metagratings for Efficient Wavefront Manipulation

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12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018

ISBN: (纸本)9781538647028

Metagratings are two-dimensional periodic arrays of individual scatterers that enable highly-efficient extreme wave transformation which was impossible using conventional metasurfaces. We review our recent progress in this area and, notably, discuss metagrating designs based on asymmetric electric dipoles that are practically easier to realize compared to bianisotropic inclusions. In addition, we present the design of a tunable metagrating based on graphene strips. It will be shown that the proposed structure can provide multiple functionalities by tuning just two bias voltages. The efficiency of the proposed design is only limited by dissipation in graphene. © 2018 IEEE.

关键词： Graphene

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MEMS and microsystems courses with national and international dissemination

MEMS and microsystems courses with national and internationa...

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113th Annual ASEE Conference and Exposition, 2006

作者： McAfee, Leo Najafi, Khalil Gianchandani, Yogesh Wise, Kensall D. Maharbiz, Michel M. Aslam, Dean Bergstrom, Paul Friedrich, Craig University of Michigan United States IEEE ASEE Department of Electrical Engineering and Computer Science University of Michigan United States MI United States WIMS ERC United States EECS Department College of Engineering Interdisciplinary Professional Degree Program in Integrated Microsystems Department of Electrical Engin-eering and Computer Science Department of Manufacturing Technology Department of Biomedical Engineering AIMBE United States United States National Academy of Engineering United States Electrical Engineering and Computer Science Chemical and Biomedical Engineering Departments University of Michigan Ann Arbor United States Wireless Integrated Microsystems NSF ERC National Nanotechnology Initiative Network Michigan State University United States Engineering Research Center for Wireless Integrated MicroSystems United States Michigan Technological University United States Michigan Technological University Houghton MI United States Microfabrication Facility Michigan Tech. United States

The Wireless Integrated MicroSystems (WIMS) engineering Research Center (ERC) has developed a broad comprehensive MEMS and microsystem curriculum suitable for upper-level undergraduate students, graduate students, and industry professionals. Five core courses were in the initial curriculum design. The design had flexibility that invited development of other core courses, as well as related technical electives and breadth electives. The core courses provide instruction in MEMS, Microsystems, major design and laboratory measurements, and societal impact. The course enrollments have been strong. A master of engineering in integrated microsystems degree program was developed so that industry professionals would have a focused set of coursework, while providing flexibility that would permit custom tailoring of the total course package to serve specific needs. Distance education dissemination of the courses as whole courses, or as discrete portions of course materials, was intended to be available;that goal has been realized. The core courses originate at the University of Michigan (UM), and have been distributed to Michigan State University (MSU), Michigan Technological University (MTU), Howard University (HU), University of Puerto Rico - Mayaguez (UPRM), and Western Michigan University (WMU). Rochester Institute of Technology (RIT) has used materials from the UM core courses in its offerings. Other institutions that have used the course web-streaming video and course materials are University of Lille, Darmstadt University, and Middle East Technical University. © American Society for engineering Education, 2006.

关键词： Curricula

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Stochastic unit commitment in a distribution system with photovoltaic power: Empirical assessment

Stochastic unit commitment in a distribution system with pho...

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International Conference on Environment and electrical engineering (EEEIC)

作者： Thaís F. Araújo Wadaed Uturbey Luis G. Monteiro Le Xie Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Electrical Engineering Department Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Electrical and Computer Engineering Texas A&M University College Station Texas

ISBN: (纸本)9781479979943

This paper proposes an economic dispatch strategy to accommodate photovoltaic (PV) generation, using the solar radiation historical data. The stochastic scenario based economic dispatch approach is formulated in the context of a power system with photovoltaic generators. The stochastic nature of PV power is represented through scenarios. The strategy proposed addresses the improvement of system ability to maintain the power balance while minimizing the management costs of power system. The benefits of this approach are illustrated using a modified version of the IEEE 30-bus test system. The results obtained show that the proposed model is appropriated to accommodate the estimation error of PV generation, while providing economic benefits.

关键词： Generators Stochastic processes Production Solar radiation Power systems Predictive models Economics

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Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis

Automatic stress-relieving music recommendation system based...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Il-hyung Shin Jaepyeong Cha Gyeong Woo Cheon Choonghee Lee Seung Yup Lee Hyung-Jin Yoon Hee Chan Kim Interdisciplinary Program Biomedical Engineering Major Graduate School Seoul National University Department of Electrical and Computer Engineering Johns Hopkins University Interdisciplinary Program Bioengineering Major Graduate School Seoul National University Department of Biomedical Engineering University of Michigan Department of Biomedical Engineering College of Medicine Seoul National University

ISBN: (纸本)9781424479276

This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.

关键词： Heart rate variability Stress Recommender systems Indexes Multiple signal classification Educational institutions Music

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Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN

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IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023年第5期20卷 3267-3277页

作者： Tu, Deng-Yao Lin, Peng-Chan Chou, Hsin-Hung Shen, Meng-Ru Hsieh, Sun-Yuan National Cheng Kung University Master Degree Program on Artificial Intelligence Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Informatics Department of Oncology Department of Genomic Medicine National Cheng Kung University Hospital College of Medicine Department of Computer Science and Information Engineering Tainan City70101 Taiwan National Chi Nan University Department of Computer Science and Information Engineering Nantou County54561 Taiwan National Cheng Kung University Graduate Institute of Clinical Medicine Department of Obstetrics and Gynecology Department of Pharmacology National Cheng Kung University Hospital College of Medicine Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Information Institute of Manufacturing Information and Systems Center for Innovative FinTech Business Models International Center for the Scientific Development of Shrimp Aquaculture Department of Computer Science and Information Engineering Tainan City70101 Taiwan

Automatic liver tumor detection from computed tomography (CT) makes clinical examinations more accurate. However, deep learning-based detection algorithms are characterized by high sensitivity and low precision, which hinders diagnosis given that false-positive tumors must first be identified and excluded. These false positives arise because detection models incorrectly identify partial volume artifacts as lesions, which in turn stems from the inability to learn the perihepatic structure from a global perspective. To overcome this limitation, we propose a novel slice-fusion method in which mining the global structural relationship between the tissues in the target CT slices and fusing the features of adjacent slices according to the importance of the tissues. Furthermore, we design a new network based on our slice-fusion method and Mask R-CNN detection model, called Pinpoint-Net. We evaluated proposed model on the Liver Tumor Segmentation Challenge (LiTS) dataset and our liver metastases dataset. Experiments demonstrated that our slice-fusion method not only enhance tumor detection ability via reducing the number of false-positive tumors smaller than 10mm, but also improve segmentation performance. Without bells and whistles, a single Pinpoint-Net showed outstanding performance in liver tumor detection and segmentation on LiTS test dataset compared with other state-of-the-art models. © 2004-2012 IEEE.

关键词： Tumors

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A Preliminary Study on the Collaborative Playing Piano Automatic with Deep Learning

A Preliminary Study on the Collaborative Playing Piano Autom...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Varinya Phanichraksaphong Karuna Yampray Department of Electronic Engineering International Graduate Program of Electrical Engineering and Computer Science National Taipei University of Technology Taipei Taiwan College of Creative Design and Entertainment Technology Dhurakij Pundit University Bangkok Thailand

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

A great number of deep learning-based models have been recently proposed for automatic piano classification. In this paper, we describe our contribution to the challenge of automatic piano classification when the performer performs at the concert or stage. Among these models in deep learning, we use init-1D-WaveNet and init-2D-MLNet for comparison the accuracy in the piano beginning level of the Christmas song (Jingle bells). Our experimental results show that the assessment using the init-2D-MLNet still achieve high accuracy of 87.5%.

关键词： Deep learning Accuracy Instruments Collaboration Consumer electronics

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