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Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence

Building simulation 2023年第7期16卷 1219-1238页

作者： Cary A.Faulkner dominik s.jankowski John E.Castellini Jr Wangda Zuo Philipp Epple Michael D.sohn Ali Taleb Zadeh Kasgari Walid saad Department of Mechanical Engineering University of Colorado BoulderBoulderCOUSA HysON Institut SonnebergGermany Department of Architectural Engineering Pennsylvania State UniversityUniversity ParkPAUSA Department of Mechanical Engineering Coburg University of Applied SciencesCoburgGermany Energy Analysis and Environmental Impacts Division Lawrence Berkeley National LaboratoryBerkeleyCAUSA Department of Electrical and Computer Engineering Virginia TechArlingtonVAUSA

Prediction of indoor airflow distribution often relies on high-fidelity,computationally intensive computational fluid dynamics(CFD)*** intelligence(Al)models trained by CFD data can be used for fast and accurate prediction of indoor airflow,but current methods have limitations,such as only predicting limited outputs rather than the entire flow ***,conventional Al models are not always designed to predict different outputs based on a continuous input range,and instead make predictions for one or a few discrete *** work addresses these gaps using a conditional generative adversarial network(CGAN)model approach,which is inspired by current state-of-the-art Al for synthetic image *** create a new Boundary Condition CGAN(BC-CGAN)model by extending the original CGAN model to generate 2D airflow distribution images based on a continuous input parameter,such as a boundary ***,we design a novel feature-driven algorithm to strategically generate training data,with the goal of minimizing the amount of computationally expensive data while ensuring training quality of the Al *** BC-CGAN model is evaluated for two benchmark airflow cases:an isothermal lid-driven cavity flow and a non-isothermal mixed convection flow with a heated *** also investigate the performance of the BC-CGAN models when training is stopped based on different levels of validation error *** results show that the trained BC-CGAN model can predict the 2D distribution of velocity and temperature with less than 5%relative error and up to about 75,ooo times faster when compared to reference CFD *** proposed feature-driven algorithm shows potential for reducing the amount of data and epochs required to train the Al models while maintaining prediction accuracy,particularly when the flow changes non-linearlywith respectto an input.

关键词： artificial intelligence indoor airflow conditional generative adversarial network computational fluid dynamics

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Hanfu Hype Unites

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Beijing Review 2024年第12期67卷 48-48页

作者： Mateusz jankowski Tsinghua University

About a decade ago,wearing hanfu,a traditional style of clothing worn by China's Han ethnic group,was considered more of a hobby,with a relatively small number of Chinese individuals participating in the ***,there is a notable shift as young consumers in China are urging brands to acknowledge their heritage and adapt to it to influence the *** hanfu movement rather suits this rhetoric,advocating cultural autonomy infused with a touch of patriotism-a perspective echoed by experts tracking this social trend.

关键词： trend heritage participating

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Layered double hydroxide(LDH)-based materials:A mini-review on strategies to improve the performance for photocatalytic water splitting

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Journal of Energy Chemistry 2022年第1期31卷 406-431,I0011页

作者： Hanane Boumeriame Eliana s.Da silva Alexey s.Cherevan Tarik Chafik Joaquim L.Faria dominik Eder Laboratory of separation and Reaction Engineering-Laboratory of Catalysis and Materials(LsRE-LCM) Faculdade de EngenhariaUniversidade do PortoRua Dr Roberto Frias s/n4200-465 PortoPortugal Institute of Materials Chemistry Technische Universicat Wien(TU Wien)Getreidemarkt 9Vienna 1060Austria Laboratory of Chemical Engineering and Valorization of Resources(LGCVR-UAE/L01FsT).Faculte des sciences et Techniques Universite Abdelmalek EssaadiTangierMorocco

The high energy demand we currently face in society and the subsequent large consumption of fossil fuels cause its depletion and increase the pollution *** quest for the production of clean energy from renewable and sustainable sources remains *** conversion of solar energy into hydrogen via the water-splitting process,assisted by pho tores pons ive semiconductor catalysts,is one of the most promising *** progress has been made on water splitting in the past few years and a variety of photocatalysts active not only under ultra-violet(UV) light but especially with the visible part of the electromagnetic spectrum have been *** double hydroxides(LDH)-based materials have emerged as a promising class of nanomaterials for solar energy applications owing to their unique layered structure,compositional flexibility,tunable bandgaps,ease of synthesis and low manufacturing *** review covers the most recent research dedicated to LDH materials for photocatalytic water-splitting applications and encompasses a range of synthetic strategies and post-modifications used to enhance their ***,we provide a thorough discussion of the experimental conditions crucial to obtaining improved photoactivity and highlight the impact of some specific parameters,namely,catalysts loading,cocatalysts,sacrificial agents,and irradiation *** review provides the necessary tools to select the election technique for adequately enhancing the photoactivity of LDH and modified LDH-based materials and concludes with a critical summary that outlines further research directions.

关键词： Layered double hydroxides Water splitting Photocatalysis Hydrogen generation Oxygen evolution Nanomaterials

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swelling-Based Chemical sensing With Unmodified Optical Fibers

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Photonic sensors 2022年第2期12卷 99-104页

作者： Alin JDERU Dorel DOROBANTU dominik ZIEGLER Marius ENACHEsCU s.C.NanoPro sTART MC s.R.L. Bucharest 033091Romania Center for surface science and Nanotechnology University Politehnica of BucharestBucharest 060042Romania Academy of Romanian scientists Bucharest 050094Romania

We use distributed fiber optic strain sensing to examine swelling of the fiber’s polymer *** distributed sensing technique that uses unmodified low-cost telecom fibers opens a new dimension of applications that include leak detection,monitoring of water quality,and waste *** a short-range length scale,the technology enables“lab-on-a-fiber”applications for food processing,medicine,and biosensing for *** chemical sensing is realized with unmodified low-cost telecom optical fibers,namely,by using swelling in the coating material of the fiber to detect specific *** generic and able to work in various areas such as environmental monitoring,food analysis,agriculture or security,the proposed chemical sensors can be targeted for water quality monitoring,or medical diagnostics where they present the most groundbreaking ***,the technique is without restrictions applicable to longer range installations.

关键词： Chemical sensing distributed fiber optic strain short range sensing Brillouin optical time domain analysis

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Overconfidence and the adoption of robo-advice:why overconfident investors drive the expansion of automated financial advice

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Financial Innovation 2022年第1期8卷 463-486页

作者： dominik M.Piehlmaier University of sussex Business school University of SussexBrightonUK

Adaptive online platforms,powered by artificial intelligence,commonly referred to as robo-advice,steadily increase their market *** these comparably new financial services are critically *** is known about why some investors adopt robo-advice for something as essential as asset *** current paper tries to close this gap by shedding light on the causal effect of investor overconfidence on the propensity of using *** study proposes a theoretical framework that combines the divergence of opinion hypothesis with consumer behavior insights and information technology diffusion *** framework is empirically tested on the Investor sample of the 2015 National Financial Capability study,a subsample of 2000 Us *** results from a series of generalized linear,structural,and semipara-metric models show that in a pre-chasm market,overconfident investors have a significantly higher propensity of adopting *** higher financial literacy seems to decrease robo-advice uptake,unjustified confidence in one’s knowledge causally increases *** to take financial risk cannot account for the significantly increased adoption of robo-advice among overconfident *** findings help managers to better position robo-advice by offering behavioral insights into their user *** addition,the results outline a managerial tool to take demand-side actions to increase the likelihood of an end-user innovation crossing the chasm.

关键词： Overconfidence Robo-advice Divergence of opinions Diffusion of innovation

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Vertical power flow forecast with LsTMs using regular training updatestrategies

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能源与人工智能(英文) 2022年第2期8卷 92-99页

作者： Katharina Brauns Christoph scholz Alexander schultz AndréBaier dominik Jost Fraunhofer IEE Königstor 5934119 KasselGermany

The strong growth of renewable energy sources as well as the increasing amount of volatile energy consumptionis leading to major challenges in the electrical grid. In order to ensure safety and reliability in the electricitygrid, a high quality of power flow forecasts for the next few hours are needed. In this paper we investigateforecasts of the vertical power flow at transformer between the medium and high voltage grid. Forecastingthe vertical power flow is challenging due to constantly changing characteristics of the power flow at thetransformer. We present a novel approach to deal with these challenges. For the multi step time series forecastsa Long-short Term Memory (LsTM) is used. In our presented approach an update process where the model isretrained regularly is investigated and compared to baseline models. The model is retrained as soon as asufficient amount of new measurements are available. We show that this retraining mostly captures changesin the characteristic of the transformer that the model has not yet seen in the past and therefore cannot bepredicted by the model without an update process. To give more weight to recent data, we examined differentstrategies in terms of the number of epochs and the learning rate. We show that our new approach significantlyoutperforms the investigated baseline models. On average, we achieved an improvement of about 8% with theregular update process compared to the approach without update process.

关键词： Vertical power flow Forecasting LsTM

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Addressing materials’microstructure diversity using transfer learning

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npj Computational Materials 2022年第1期8卷 223-235页

作者： Aurèle Goetz Ali Riza Durmaz Martin Müller Akhil Thomas dominik Britz Pierre Kerfriden Chris Eberl Fraunhofer Institute for Mechanics of Materials IWM 79108FreiburgGermany Mines ParisTech PsL University Centre des Matériaux91000EvryFrance University of Freiburg 79110FreiburgGermany Department of Materials science Saarland UniversitySaarbrücken66123Germany Material Engineering Center saarland 66123SaarbrückenGermany Cardiff University School of EngineeringCardiffUK

Materials’microstructures are signatures of their alloying composition and processing ***,quantitative analyses of microstructural constituents were lately accomplished through deep learning ***,their shortcomings are poor data efficiency and domain generalizability across data sets,inherently conflicting the expenses associated with annotating data through experts,and extensive materials *** tackle both,we propose to apply a sub-class of transfer learning methods called unsupervised domain adaptation(UDA).UDA addresses the task of finding domain-invariant features when supplied with annotated source data and unannotated target data,such that performance on the latter is ***,this study is conducted on a lath-shaped bainite segmentation task in complex phase steel *** to bridge are selected to be different metallographic specimen preparations and distinct imaging *** show that a state-of-the-art UDA approach substantially fosters the transfer between the investigated domains,underlining this technique’s potential to cope with materials variance.

关键词： microstructure alloying bainite

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An Artificial Heart system for Testing and Evaluation of Cardiac Pacemakers

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Computers, Materials & Continua 2022年第12期73卷 6269-6287页

作者： Martin Augustynek Jan Kubicek Jaroslav Thomas Marek Penhaker dominik Vilimek Michal strycek Ondrej sojka Antonino Proto Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of Ostrava17.Listopadu 15Ostrava–Poruba70800Czech Republic

The usability assessment of a pacemaker is a complex task where the dedicated programmer for testing programmed algorithms is *** paper provides the outcomes of development and complex testing of the artificial cardiac system to evaluate the pacemaker’s *** this work,we used the modular laboratory platform ELVIs II and created graphical user interface in LabVIEW programming *** electrical model of the heart allows signals generation(right atrium,right ventricle)and the monitoring of the stimulation *** LabVIEW user interface allows to set the parameters of the generated signals and the simulation of the cardiac rhythm disorders as well as the monitoring and visualization of the pacemaker behavior in *** results demonstrate the capability of proposed system to evaluate the paced and sensed *** proposed solution allows the scientists to test the behavior of any cardiac pacemaker for its pre-programmed settings and pacing *** addition,the proposed system can simulate various disorders and test cardiac pacemakers in different working modes.

关键词： Artificial heart cardiac conduction system electrical cardiac stimulation pacemaker

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Remote sensing of bark beetle damage in Norway spruce individual tree canopies using thermal infrared and airborne laser scanning data fusion

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Forest Ecosystems 2022年第5期9卷 710-723页

作者： Agata Zakrzewska dominik Kopec Department of Biogeography Paleoecology and Nature ProtectionFaculty of Biology and Environmental ProtectionUniversity of LodzŁodzPoland MGGP Aero sp.z o.o. TarnowPoland

Background:Increasing threat to Central Europe’s forests from the growing population of the European spruce bark beetle Ips typographus (L.) calls for developing highly effective methods of detection of the infestation spots. The main goal of this study was to establish an automatic workflow for detection of dead trees and trees in poor condition of Picea abies using Middle Wave Infrared spectral range obtained from the ***:The studies were conducted in Wigry National Park (Poland) in 2020. A fusion of aircraft thermal data and laser scanning was used. synchronous with thermal data acquisition ground reference data were obtained for P. abies in different health conditions. Determination of the range of canopy temperatures characteristic of the three condition states (‘healthy’,‘poor condition’,‘dead’) was performed using K-mean clustering. The accuracy of the method was evaluated on two validation sets:(1) individual tree canopies determined by photointerpretation, and (2) automatic segmentation of laser scanning ***:The results showed that the average temperature of ‘healthy’trees was 27.70℃, trees in ‘poor condition’28.57℃, and ‘dead’trees 30.17℃. High temperature differences between ‘healthy’and ‘dead’P. abies made it possible to distinguish these two condition classes with high accuracy. Lower accuracies were obtained for the class of ‘poor condition’, which was found to be confusing with both ‘healthy’and ‘dead’trees. According to results from the first validation set, a high overall accuracy of 0.60 was obtained. For the second validation set, the overall accuracy was reduced by 11%.Conclusions:This study indicates that canopy temperature recorded from the airborne level is a variable that differentiates ‘healthy’spruces from those in ‘poor condition’and the ‘dead’trees. The results confirmed that thermal and airborne laser scanning data fusion allows for creating a quick and simple workflow, which can successfully separate individual tre

关键词： Infrared thermography Picea abies Ips typographus Middle wave infrared Forest invasion Forest health K-mean clustering

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The mutational dynamics of the sARs-CoV-2 virus in serial passages in vitro

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Virologica sinica 2022年第2期37卷 198-207页

作者： sissy Therese sonnleitner stefanie sonnleitner Eva Hinterbichler Hannah Halbfurter dominik BCKopecky stephan Koblmüller Christian sturmbauer Wilfried Posch Gernot Walder Dr.Gernot Walder GmbH Medical LaboratoryDepartment of VirologyAusservillgraten9931Austria Division of Hygiene and Medical Microbiology Medical University of InnsbruckInnsbruck6020Austria Institute of Biology University of GrazGraz8010Austria

since its outbreak in 2019,severe Acute Respiratory syndrome Coronavirus 2(sARs-Co V-2)keeps surprising the medical community by evolving diverse immune escape mutations in a rapid and effective *** gain deeper insight into mutation frequency and dynamics,we isolated ten ancestral strains of sARs-Co V-2 and performed consecutive serial incubation in ten replications in a suitable and common cell line and subsequently analysed them using RT-q PCR and whole genome *** those lines we hoped to gain fundamental insights into the evolutionary capacity of sARs-Co V-2 in *** results identified a series of adaptive genetic changes,ranging from unique convergent substitutional mutations and hitherto undescribed *** region coding for spike proved to be a mutational hotspot,evolving a number of mutational changes including the already known substitutions at positions s:484 and s:*** discussed the evolution of all specific adaptations as well as possible reasons for the seemingly inhomogeneous potential of sARs-Co V-2 in the adaptation to cell *** combination of serial passage in vitro with whole genome sequencing uncovers the immense mutational potential of some sARs-Co V-2 *** observed genetic changes of sARs-Co V-2 in vitro could not be explained solely by selectively neutral mutations but possibly resulted from the action of directional selection accumulating favourable genetic changes in the evolving variants,along the path of increasing potency of the *** among a high number of quasi-species in the sARs-Co V-2 in vitro population gene pool may reinforce directional selection and boost the speed of evolutionary change.

关键词： sARs-CoV-2 Whole genome sequencing(WGs) Mutational dynamics Adaptation serial passage in vitro

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