scholarly journals QFEA - A Method for Assessing the Filtration Efficiency of Face Mask Materials for Early Design Prototypes and Home Mask Makers

2020 ◽  
Author(s):  
Eugenia O’Kelly ◽  
Anmol Arora ◽  
Corinne O’Kelly ◽  
Charlotte Pearson ◽  
James Ward ◽  
...  
Keyword(s):  
Face Mask ◽  
Filtration Efficiency ◽  
Small Scale ◽  
Early Design ◽  
Commercial Use ◽  
Efficiency Assessment ◽  
Mask Making ◽  
Novel Method ◽  
Design And Production

Abstract The COVID-19 pandemic has led to a surge in the design and production of fabric face coverings. There are few published methods which enable mask designers, makers and purchasers to assess the relative filtration ability of mask making materials. Those methods which do exist are prohibitively expensive and difficult to conduct. As a result, mask makers, non-profits, and small-scale designers face difficult decisions when designing face coverings for personal and commercial use. In this paper, we propose a novel method, the Qualitative Filtration Efficiency Assessment (QFEA), for easily and inexpensively comparing the filtration efficiency of common materials. This method provides a highly affordable and readily available way to assess potential mask materials.

Study of face mask filtration efficiency to prevent fine dust to secure people’s right to health

2020 ◽  
Vol 19 (2) ◽  
pp. 186-193
Author(s):  
Woo-Taeg Kwon ◽  
◽  
Min-Jae Jung ◽  
Bum-Soo Kim ◽  
Woo-Sik Lee ◽  
...  
Keyword(s):  
Face Mask ◽  
Right To Health ◽  
Filtration Efficiency ◽  
Fine Dust

Cost-Effective Face Mask Filter Based on Hybrid Composite Nanofibrous Layers with High Filtration Efficiency

Langmuir ◽  
2021 ◽  
Author(s):  
Walaa A. Abbas ◽  
Basamat S. Shaheen ◽  
Loujain G. Ghanem ◽  
Ibrahim M. Badawy ◽  
Mohamed M. Abodouh ◽  
...  
Keyword(s):  
Hybrid Composite ◽  
Cost Effective ◽  
Face Mask ◽  
Filtration Efficiency

Large-Scale Assembly of Carbon Nanotubes

2004 ◽  
Author(s):  
T. El-Aguizy ◽  
Sang-Gook Kim
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Nanotube ◽  
Large Scale ◽  
Small Scale ◽  
Manufacturing Processes ◽  
Micro Scale ◽  
Multi Scale ◽  
Novel Method ◽  
Functionalization Of Carbon Nanotubes

The scale decomposition of a multi-scale system into small-scale order domains will reduce the complexity of the system and will subsequently ensure a success in nanomanufacturing. A novel method of assembling individual carbon nanotube has been developed based on the concept of scale decomposition. Current technologies for organized growth of carbon nanotubes are limited to very small-scale order. The nanopelleting concept is to overcome this limitation by embedding carbon nanotubes into micro-scale pellets that enable large-scale assembly as required. Manufacturing processes have been developed to produce nanopellets, which are then transplanted to locations where the functionalization of carbon nanotubes are required.

scholarly journals Small-Scale Face Detection Based on Improved R-FCN

2020 ◽  
Vol 10 (12) ◽  
pp. 4177
Author(s):  
Chaowei Tang ◽  
Shiyu Chen ◽  
Xu Zhou ◽  
Shuai Ruan ◽  
Haotian Wen
Keyword(s):  
Receptive Field ◽  
Face Detection ◽  
Feature Fusion ◽  
Selection Method ◽  
Local Information ◽  
Small Scale ◽  
Average Precision ◽  
Convolutional Network ◽  
High Layer ◽  
Novel Method

Face detection is an important basic technique for face-related applications, such as face analysis, recognition, and reconstruction. Images in unconstrained scenes may contain many small-scale faces. The features that the detector can extract from small-scale faces are limited, which will cause missed detection and greatly reduce the precision of face detection. Therefore, this study proposes a novel method to detect small-scale faces based on region-based fully convolutional network (R-FCN). First, we propose a novel R-FCN framework with the ability of feature fusion and receptive field adaptation. Second, a bottom-up feature fusion branch is established to enrich the local information of high-layer features. Third, a receptive field adaptation block (RFAB) is proposed to ensure that the receptive field can be adaptively selected to strengthen the expression ability of features. Finally, we improve the anchor setting method and adopt soft non-maximum suppression (SoftNMS) as the selection method of candidate boxes. Experimental results show that average precision for small-scale face detection of R-FCN with feature fusion branch and RFAB (RFAB-f-R-FCN) is improved by 0.8%, 2.9%, and 11% on three subsets of Wider Face compared with that of R-FCN.

scholarly journals SE-IYOLOV3: An Accurate Small Scale Face Detector for Outdoor Security

Mathematics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 93 ◽  
Author(s):  
Zhenrong Deng ◽  
Rui Yang ◽  
Rushi Lan ◽  
Zhenbing Liu ◽  
Xiaonan Luo
Keyword(s):  
Receptive Field ◽  
Face Detection ◽  
Network Structure ◽  
Difficult Problem ◽  
Detection Performance ◽  
Experimental Results ◽  
Small Scale ◽  
Detection Accuracy ◽  
Novel Method ◽  
Face Detector

Small scale face detection is a very difficult problem. In order to achieve a higher detection accuracy, we propose a novel method, termed SE-IYOLOV3, for small scale face in this work. In SE-IYOLOV3, we improve the YOLOV3 first, in which the anchorage box with a higher average intersection ratio is obtained by combining niche technology on the basis of the k-means algorithm. An upsampling scale is added to form a face network structure that is suitable for detecting dense small scale faces. The number of prediction boxes is five times more than the YOLOV3 network. To further improve the detection performance, we adopt the SENet structure to enhance the global receptive field of the network. The experimental results on the WIDERFACEdataset show that the IYOLOV3 network embedded in the SENet structure can significantly improve the detection accuracy of dense small scale faces.

scholarly journals Filtration Efficiency of Hospital Face Mask Alternatives Available for Use During the COVID-19 Pandemic

2020 ◽  
Vol 180 (12) ◽  
pp. 1607 ◽  
Author(s):  
Emily E. Sickbert-Bennett ◽  
James M. Samet ◽  
Phillip W. Clapp ◽  
Hao Chen ◽  
Jon Berntsen ◽  
...  
Keyword(s):  
Face Mask ◽  
Filtration Efficiency

Research on the Creation of Small-Scale English-Chinese Parallel Corpus for Manufacturing Systems

2013 ◽  
Vol 421 ◽  
pp. 725-730
Author(s):  
Song Bin Bao
Keyword(s):  
Teaching And Learning ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Small Scale ◽  
Chinese Word Segmentation ◽  
Translation Memory ◽  
Parallel Corpus ◽  
Novel Method ◽  
Chinese Texts ◽  
Education In China

English, which is specially used in the field of manufacturing systems, belongs to ESP (English for specific purposes). In order to improve the effect of ESP education in China, it is very necessary to create an English-Chinese parallel corpus for aiding ESP teaching and learning. In this paper, a novel method is presented to create a small-scale English-Chinese parallel corpus by means of TMS (translation memory system). Firstly, the suitable English and Chinese texts are collected from network, publication and human translation; secondly, The English and Chinese texts are aligned and formatted by using the related TMS functions; then Chinese texts are split into words by using ICWSS (Intelligent Chinese Word Segmentation System); finally, the English-Chinese corpus is stored in cloud database. This small-scale English-Chinese parallel corpus can be searched through ParaConc and meet the basic needs of ESP teaching and learning. Since the method does not need to design new algorithm nor develop new software system, the construction of the corpus is much easier and more flexible compared to general large-scale corpus.

scholarly journals Model Predictive Control for a Small Scale Unmanned Helicopter

10.5772/10583 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 34 ◽  
Author(s):  
Jianfu Du ◽  
Konstantin Kondak ◽  
Markus Bernard ◽  
Yaou Zhang ◽  
Tiansheng Lü ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Time Delays ◽  
Control Algorithm ◽  
Controller Design ◽  
Control Mode ◽  
Small Scale ◽  
Unmanned Helicopter ◽  
Dynamical Equations ◽  
Novel Method

Kinematical and dynamical equations of a small scale unmanned helicoper are presented in the paper. Based on these equations a model predictive control (MPC) method is proposed for controlling the helicopter. This novel method allows the direct accounting for the existing time delays which are used to model the dynamics of actuators and aerodynamics of the main rotor. Also the limits of the actuators are taken into the considerations during the controller design. The proposed control algorithm was verified in real flight experiments where good perfomance was shown in postion control mode.

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