Full‐Dimensional Grain Boundary Stress Release for Flexible Perovskite Indoor Photovoltaics
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202200320
Abstract: Perovskite photovoltaics are strong potential candidates to drive low‐power off‐grid electronics for indoor applications. Compared with rigid devices, flexible perovskite devices can provide a more suitable surface for indoor small electronic devices, enabling them have… read more here.
Keywords: flexible perovskite; indoor; grain boundary; stress release ... See more keywords
Indoor Organic Photovoltaics for Self‐Sustaining IoT Devices: Progress, Challenges and Practicalization
Sign Up to like & getrecommendations! Published in 2021 at "Chemsuschem"
DOI: 10.1002/cssc.202100981
Abstract: Abstract Indoor photovoltaics (IPVs) have great potential to provide a self‐sustaining power source for Internet‐of‐Things (IoT) devices. The rapid growth in demand for low‐power IoT devices for indoor application not only boosts the development of… read more here.
Keywords: iot; indoor; iot devices; power ... See more keywords
C-tree: efficient cell-based indexing of indoor mobile objects
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01397-w
Abstract: With the increasing popularity of indoor positioning system technologies, many applications have become available that allow moving objects to be monitored and queried on the basis of their indoor locations. At the center of these… read more here.
Keywords: indoor; cell based; density; structure ... See more keywords
Deep panoramic depth prediction and completion for indoor scenes
Sign Up to like & getrecommendations! Published in 2024 at "Computational Visual Media"
DOI: 10.1007/s41095-023-0358-0
Abstract: We introduce a novel end-to-end deep-learning solution for rapidly estimating a dense spherical depth map of an indoor environment. Our input is a single equirectangular image registered with a sparse depth map, as provided by… read more here.
Keywords: panoramic depth; indoor; depth prediction; depth ... See more keywords
Using multi-robot active olfaction method to locate time-varying contaminant source in indoor environment
Sign Up to like & getrecommendations! Published in 2017 at "Building and Environment"
DOI: 10.1016/j.buildenv.2017.03.030
Abstract: Abstract Prevention of indoor contaminant source leak disasters is becoming an urgent issue in the indoor environment and public safety fields. Quickly locating such a source is a prerequisite for effective implementation of source control,… read more here.
Keywords: contaminant source; time varying; indoor; source ... See more keywords
Effectiveness of indoor plants for passive removal of indoor ozone
Sign Up to like & getrecommendations! Published in 2017 at "Building and Environment"
DOI: 10.1016/j.buildenv.2017.04.007
Abstract: Abstract Indoor vegetation is often proposed as a passive approach for improving indoor air quality. While studies of outdoor environments indicate that vegetation can be an important sink of outdoor ozone, there is scant data… read more here.
Keywords: indoor; removal; peace lily; indoor plants ... See more keywords
Personal exposure to indoor aerosols as actual concern: Perceived indoor and outdoor air quality, and health performances
Sign Up to like & getrecommendations! Published in 2019 at "Building and Environment"
DOI: 10.1016/j.buildenv.2019.106403
Abstract: Abstract Indoor environmental quality (IEQ) is known to affect personal health performances. A respiratory illness symptom can be an indicator of health performance that is related to the personal exposure concern and the IEQ. However,… read more here.
Keywords: quality; indoor; exposure; air ... See more keywords
A novel method based on 220Rn (thoron) exhalation rate of indoor surfaces for robust estimates of 220Rn concentration and equilibrium factor to compute inhalation dose.
Sign Up to like & getrecommendations! Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.128908
Abstract: The research into 220Rn (thoron) has generated an increasing interest in recent times due to the realisation of its radiological importance in many indoor environments. Though it is assumed that the contribution of 220Rn, per… read more here.
Keywords: indoor; concentration; inhalation dose; 220rn concentration ... See more keywords
Indexes for passive building design in urban context – indoor and outdoor cooling potentials
Sign Up to like & getrecommendations! Published in 2018 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2018.05.043
Abstract: Abstract In this paper, we propose a practical approach for decision-making regarding passive cooling design for buildings in dense urban contexts. For non-cooled buildings under temperate climates, assessment of summer thermal discomfort determines the usual… read more here.
Keywords: passive cooling; energy; indoor; building ... See more keywords
Personal cooling strategies to improve thermal comfort in warm indoor environments: comparison of a conventional desk fan and air ventilation clothing
Sign Up to like & getrecommendations! Published in 2018 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2018.06.065
Abstract: Abstract The study examined and compared the performance of two personalized cooling strategies (conventional desk fan [DF] and air ventilation clothing [VC]) in three warm indoor environments. Two cooling methods were selected so that the… read more here.
Keywords: conventional desk; indoor; air; thermal comfort ... See more keywords
Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution
Sign Up to like & getrecommendations! Published in 2021 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110525
Abstract: Abstract The indoor environment is important to the daily lives of humans. Fast and accurate prediction of indoor environments is desirable with regard to practical applications, such as coupled simulation, inverse design, and system control.… read more here.
Keywords: neural network; indoor; data preprocessing; prediction ... See more keywords