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Deep Weighted Fusion Learning(DWFL)-based multi-sensor fusion model for accurate building occupancy detection

energy and AI 2024年第3期17卷 542-554页

作者： MdRumman Rafi Fei Hu Shuhui Li Aijun Song Xingli Zhang Zheng O’Neill Department of Electrical and Computer Engineering The University of AlabamaTuscaloosaALUSA Mechanical Engineering Texas A&M UniversityTXUSA

With the advancement of artificial intelligence,the dominance of deep learning(DL)models over ordinary machine learning(ML)algorithms has become a reality in recent years due to its capability of handling complex pattern recognition without manual feature *** the growing demands for power savings,building energy loss reduction could benefit from DL *** buildings/rooms with the varying number of occupants,heating,ventilation,and air conditioning(HVAC)systems are often found in operations without much *** reduce the building’s energy loss,accurate occupancy detection/prediction(ODP)results could be used to control the proper operations of ***,ODP is a challenging issue due to multiple reasons,such as improper selection/deployment of sensors,inefficient learning algorithms for pattern recognition,varying room conditions,*** overcome the above challenges,we propose a DL-based framework,i.e.,Deep Weighted Fusion Learning(DWFL),to detect and predict occupancy counts with optimal multi-sensor fusion *** fuses the extracted features from multiple types of sensors with the priority/weight assignment to each *** weight assignment considers different room conditions and the pros/cons of each type of *** evaluate DWFL model in terms of occupancy prediction accuracy,we have set up an experimental testbed with low-cost cameras,carbon dioxide(CO_(2)),and passive infrared(PIR)*** the recently proposed occupancy detection models,DeepFusion utilized deep learning model on heterogeneous sensor data and achieved 88%accuracy in occupancy count estimation(Xue et al.,2019).Another deep learning-based model MI-PIR achieved 91%accuracy on raw analog data from PIR sensors(Andrews et al.,2020).Our research outcome is 94%.Therefore,the experiment results show that our DWFL scheme outperforms the state-of-the-art ODP methods by 3%.

关键词： Building energy saving Convolutional neural network(CNN) Occupancy detection Deep learning Multi-sensor fusion Wavelet transform

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Effects of Angular Fillers on Thermal Runaway of Lithium-Ion Battery

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Journal of Materials Science & Technology 2016年第11期32卷 1117-1121页

作者： Meng Wang Anh V.Le Yang Shi Daniel J.Noelle Hyojung Yoon Minghao Zhang Y.Shirley Meng Yu Qiao Department of Structural Engineering University of California-San Diego Program of Materials Science and Engineering University of California-San Diego Department of Nanoengineering University of California-San Diego

By adding 1 wt% damage homogenizer（DH）, i.e. carbon black microparticles, into the electrodes of lithiumion batteries, thermal runaway can be mitigated as the battery cells are subjected to impact loadings. In a drop tower test, the generated heat of the modified cells is reduced by nearly 40%, compared with the reference cells. This phenomenon may be attributed to the weakening effect of the carbon black *** shape of the filler grains does not have a pronounced influence on the temperature profile.

关键词： Lithium-ion battery Thermal runaway Micro-particulate Nail Impact

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Multiphysics modeling of solid-oxide iron-air redox battery:analysis and optimization of operation and performance parameters

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Science Bulletin 2016年第17期61卷 1345-1354页

作者： Xinfang Jin Kevin Huang Department of Mechanical Engineering University of South Carolina

The present study reports a systematic computational analysis of the performance of solid oxide metalair redox battery operated at 800 and 550 ℃ using a recently developed high-fidelity multiphysics *** sets of parameters are particularly investigated:(1) operational parameters including current density and depth of discharge;(2) performance parameters including the chemical reaction kinetic rate constant of the redox cycle unit and exchange current density of the regenerative solid oxide fuel *** two groups of parameters are particularly analyzed with the goal to achieve high specific energy and round trip efficiency for SOIARB operated at different operating temperatures.

关键词： energy storage Solid oxide fuel cell Battery Modeling FeO reduction Fe3O4 reduction

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TransPolymer: a Transformer-based language model for polymer property predictions

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npj Computational Materials 2023年第1期9卷 1703-1716页

作者： Changwen Xu Yuyang Wang Amir Barati Farimani Department of Materials Science and Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Department of Mechanical Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Machine Learning Department Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Department of Chemical Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA

Accurate and efficient prediction of polymer properties is of great significance in polymer ***,expensive and time-consuming experiments or simulations are required to evaluate polymer ***,Transformer models,equipped with self-attention mechanisms,have exhibited superior performance in natural language ***,such methods have not been investigated in polymer ***,we report TransPolymer,a Transformer-based language model for polymer property *** proposed polymer tokenizer with chemical awareness enables learning representations from polymer *** experiments on ten polymer property prediction benchmarks demonstrate the superior performance of ***,we show that TransPolymer benefits from pretraining on large unlabeled dataset via Masked Language *** results further manifest the important role of self-attention in modeling polymer *** highlight this model as a promising computational tool for promoting rational polymer design and understanding structure-property relationships from a data science view.

关键词： property polymer rational

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Vertical Gallium Nitride Power Devices：Current Status and Prospects

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电力电子技术 2017年第8期51卷 49-52页

作者： ZHANG Yu-hao PALACIOS Tomas Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge 02139 United States

A comprehensive review on the current status and prospects of vertical gallium nitride(GaN) power devices is *** paper starts with an introduction of the market potential for GaN power devices, and presents a comparison between lateral and vertical GaN power ***, different high-performance vertical GaN power devices are introduced, including diodes and transistors on free-standing GaN substrates and low-cost Si *** paper is concluded by elucidating the research and commercialization prospects in developing several key components of vertical GaN power *** relatively new area has only been explored for 3-5 years, but already seen the demonstration of a series of successful vertical power devices that outperformed lateral GaN power devices and conventional Si power *** are tremendous research opportunities regarding materials, physics, devices and system-level integrations of vertical GaN power *** vertical GaN power devices show great potential for >600 V level high-current,high-voltage and high-power applications.

关键词：氮化镓电力设备技术创新功率

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Designing Textile Architectures for High energy-Efficiency Human Body Sweat-and Cooling-Management

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advanced Fiber Materials 2019年第1期1卷 61-70页

作者： Kun Fu Zhi Yang Yong Pei Yongxin Wang Beibei Xu YuHuang Wang Bao Yang Liangbing Hu Department of Materials Science and Engineering University of MarylandCollege ParkMD 20742USA Department of Mechanical Engineering University of DelawareNewarkDE 19716USA Department of Mechanical Engineering University of MarylandCollege ParkMD 20742USA Department of Chemistry University of MarylandCollege ParkMD 20742USA

Thermal management of textiles requires local microclimate control over heat and wet dissipation to create a comfortable thermal-wet environment at the interface of the human body and ***,we design a fabric capable of both sweat-and cooling-management using a knitted fabric featuring a bilayer structure consisting of hydrophobic polyethylene terephthalate and hydrophilic cellulose fibers to simultaneously achieve high infrared(IR)transmittance and good thermal-wet *** IR transmission of this cooling textile increased by~twofold in the dry state and~eightfold in the wet state compared to conventional cotton *** the porosity changes from 10 to 47%with the comparison of conventional cotton fabric and our cooling textile,the heat flux is increased from 74.4 to 152.3 W/cm^(2).The cooling effect of the cooling fabric is 105%greater than that of commercial cotton fabric,which displays a better thermal management capacity for personal *** bilayer design controls fast moisture transfer from inside out and provides thermal management,demonstrating high impact not only for garments,but also for other systems requiring heat regulation,such as buildings,which could mitigate energy demand and ultimately contribute to the relief of global energy and climate issues.

关键词： Thermal responsive textile IR transmission Cooling textiles Moisture transfer and management

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Widely tunable,heterogeneously integrated quantum-dot O-band lasers on silicon

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Photonics research 2020年第10期8卷 1551-1557页

作者： ADITYA MALIK JOEL GUO MINH A.TRAN GEZA KURCZVEIL DI LIAN JOHN EBOWERS Department of Eilectrical&Cormputer Engineening University of CaliforniaSanta BarbaraCalifornia 93106USA Nexus Photonics GoletaCalifonia 93117USA Hewiett PackardLabs Palo AltoCalifomia 94304USA

Heterogeneously integrated lasers in the O-band are a key component in realizring low-power optical interconnects for data centers and high-performance ***-dot-based materials have been particularly appealing for light generation due to their ultralow lasing thresholds,small linewidth enhancement factor,and low sensitivity to ***,we present widely tunable quantum-dot lasers heterogencously integrated on silicon-on-insulator *** tuning mechanism is based on Vernier dual-ring geometry,and a 47nm tuning range with 52 dB side-mode suppression ratio is *** parameters show an increase to 52nm and 58 dB,respectively,when an additional wavelength filter in the form of a Mach-Zehnder interferometer is added to the *** Lorentzian linewidth of the lasers is measured as low as 5.3 kHz.

关键词： tunable tuning lasers

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Dynamic performance and reflection sensitivity of quantum dot distributed feedback lasers with large optical mismatch

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Photonics research 2021年第8期9卷 1550-1558页

作者： BOZHANG DONG JIANAN DUAN HEMING HUANG JUSTIN CNORMAN KENICHI NISHI KEIZO TAKEMASA MITSURU SUGAWARA JOHN EBOWERS FRéDéRIC GRILLOT LTCI Telecom ParisInstitut Polytechnique de Paris19 Place Marguerite Perey91120 PalaiseauFrance Institute for energy Efficiency University of CaliforniaSanta BarbaraCalifornia 93106USA Materials Department University of CaliforniaSanta BarbaraCalifornia 93106USA QD Laser Inc.KawasakiKanagawa 210-0855Japan Department of Electrical and Computer Engineering University of CaliforniaSanta BarbaraCalifornia 93106USA Center for High Technology Materials University of New-MexicoAlbuquerqueNew Mexico 87106USA Current address:State Key Laboratory on Tunable Laser Technology School of Electronic and Information EngineeringHarbin Institute of TechnologyShenzhen 518055China

This work reports on a high-efficiency In As/Ga As distributed feedback quantum dot *** large optical wavelength detuning at room temperature between the lasing peak and the gain peak causes the static,dynamic,and nonlinear intrinsic properties to all improve with temperature,including the lasing efficiency,the modulation dynamics,the linewidth enhancement factor,and consequently the reflection *** reported show an optimum operating temperature at 75°C,highlighting the potential of the large optical mismatch assisted single-frequency laser for the development of uncooled and isolator-free high-speed photonic integrated circuits.

关键词： mismatch optical tuning

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Integrated dispersion compensated mode-locked quantum dot laser

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Photonics research 2020年第9期8卷 1428-1434页

作者： ZEYU ZHANG JUSTIN CNORMAN SONGTAO LIU ADITYA MALIK AND JOHN EBOWERS Electrical and Computer Engineering Department University of California Santa BarbaraSanta BarbaraCalifornia 93106USA Materials Department University of California Santa BarbaraSanta BarbaraCalifornia 93106USA Institute for energy Efficiency University of CaliforniaSanta BarbaraCalifornia 93106USA

Quantum dot lasers are excellent on-chip light sources,offering high defect tolerance,low threshold,low temperature variation,and high feedback *** a monolithic integration technique combining epitaxial quantum dot lasers with passive waveguides has not been demonstrated and is needed for complex photonic integrated *** present here,for the first time to our knowledge,a monolithc offset quantum dot integration platform that permits formation of a laser cavity utilizing both the robust quantum dot active region and the versatility of passive GaAs waveguide *** platform is substrate agnostic and therefore compatible with the quantum dot lasers directly grown on *** an illustration of the potential of this platform,we designed and fabricated a 20 GHz mode-locked laser with a dispersion-engineered on-chip waveguide *** to the dispersion compensation effect of the waveguide mirror,the pulse width of the mode-locked laser is reduced by a factor of 2.8.

关键词： waveguide passive quantum

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An Analysis of Soil Coring Strategies to Estimate Root Depth in Maize(Zea mays)and Common Bean(Phaseolus vulgaris)

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Plant Phenomics 2020年第1期2卷 347-366页

作者： James D.Burridge Christopher K.Black Eric A.Nord Johannes A.Postma Jagdeep S.Sidhu Larry M.York Jonathan P.Lynch The Pennsylvania State University Department of Plant ScienceTyson BuildingUniversity ParkPA 16802USA Department of Biology Greenville University315 E.College AveGreenvilleIL 62246USA Forschungszentrum Jülich GmbH Institute of Bio-and Geosciences-Plant Sciences(IBG-2)52425 JülichGermany Noble research Institute LLC2510 Sam Noble ParkwayArdmoreOK 73401USA

A soil coring protocol was developed to cooptimize the estimation of root length distribution(RLD)by depth and detection of functionally important variation in root system architecture(RSA)of maize and *** functional-structural model OpenSimRoot was used to perform in silico soil coring at six locations on three different maize and bean RSA *** were compared to two seasons of field soil coring and one *** one-sided T-test(TOST)analysis of in silico data suggests a between-row location 5 cm from plant base(location 3),best estimates whole-plot RLD/D of deep,intermediate,and shallow RSA phenotypes,for both maize and *** discriminant analysis indicates location 3 has~70%categorization accuracy for bean,while an in-row location next to the plant base(location 6)has~85%categorization accuracy in *** of field data suggests the more representative sampling locations vary by year and *** silico and field studies suggest location 3 is most robust,although variation is significant among seasons,among replications within a field season,and among field soil coring,trench,and *** propose that the characterization of the RLD profile as a dynamic rhizo canopy effectively describes how the RLD profile arises from interactions among an individual plant,its neighbors,and the pedosphere.

关键词： mays soil Root

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