scholarly journals Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3928
Author(s):  
Sepehr Makhsous ◽  
Joelle M. Segovia ◽  
Jiayang He ◽  
Daniel Chan ◽  
Larry Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
High Efficiency ◽  
3D Visualization ◽  
Three Dimensional ◽  
Local Area ◽  
Intervention Strategies ◽  
Dental Restoration ◽  
Transmission Risk ◽  
School Of Dentistry

Human exposure to infectious aerosols results in the transmission of diseases such as influenza, tuberculosis, and COVID-19. Most dental procedures generate a significant number of aerosolized particles, increasing transmission risk in dental settings. Since the generation of aerosols in dentistry is unavoidable, many clinics have started using intervention strategies such as area-filtration units and extraoral evacuation equipment, especially under the relatively recent constraints of the pandemic. However, the effectiveness of these devices in dental operatories has not been studied. Therefore, the ability of dental personnel to efficiently position and operate such instruments is also limited. To address these challenges, we utilized a real-time sensor network for assessment of aerosol dynamics during dental restoration and cleaning producers with and without intervention. The strategies tested during the procedures were (i) local area High-Efficiency Particle Air (HEPA) filters and (ii) Extra-Oral Suction Device (EOSD). The study was conducted at the University of Washington School of Dentistry using a network of 13 fixed sensors positioned within the operatory and one wearable sensor worn by the dental operator. The sensor network provides time and space-resolved particulate matter (PM) data. Three-dimensional (3D) visualization informed aerosol persistence in the operatory. It was found that area filters did not improve the overall aerosol concentration in dental offices in a significant way. A decrease in PM concentration by an average of 16% was observed when EOSD equipment was used during the procedures. The combination of real-time sensors and 3D visualization can provide dental personnel and facility managers with actionable feedback to effectively assess aerosol transmission in medical settings and develop evidence-based intervention strategies.

scholarly journals Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network

2021 ◽  
Author(s):  
Sepehr Makhsous ◽  
Joelle M. Segovia ◽  
Jiayang He ◽  
Daniel Chan ◽  
Larry Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
High Efficiency ◽  
3D Visualization ◽  
Three Dimensional ◽  
Local Area ◽  
Intervention Strategies ◽  
Dental Restoration ◽  
Transmission Risk ◽  
School Of Dentistry

Human exposure to infectious aerosols results a transmission of diseases, such as influenza, tuberculosis, and COVID-19. Most dental procedures generate a significant number of aerosolized particles, increasing transmission risk in dental settings. Since the generation of aerosols in dentistry is unavoidable, many clinics started using intervention strategies such as area-filtration units and extraoral evacuation equipment, especially under the relatively recent constraints of the pandemics. However, the effectiveness of these devices in dental operatories has not been studied. Therefore, the dental personnel's ability to position and operate such instruments efficiently is also limited. To address these challenges, we utilized a real-time sensor network for assessment of aerosol dynamics during dental restoration and cleaning producers with and without intervention. The strategies tested during the procedures were (i) local area high-efficiency particle air (HEPA) filters and (ii) extra-oral suction device (EOSD). The study was conducted at the University of Washington School of Dentistry using a network of thirteen fixed sensors positioned within the operatory and one wearable sensor worn by the dental operator. The sensor network provides time and space-resolved particulate matter (PM) data. Three-dimensional (3D) visualization informs aerosol persistence in the operatory. It was found that area filters did not improve the overall aerosol concentration in dental offices significantly. An average of 16% decrease in PM concentration was observed when EOSD equipment was used during the procedures. The combination of real-time sensors and 3D visualization can provide dental personnel and facility mangers with actionable feedback to effectively assess aerosol transmission in medical settings and develop evidence-based intervention strategies.

scholarly journals Binocular stereovision omnidirectional motion handling robot

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092685
Author(s):  
Bo Tang ◽  
Li Jiang
Keyword(s):  
Real Time ◽  
High Efficiency ◽  
Recognition Rate ◽  
Three Dimensional ◽  
Image Feature ◽  
Software Framework ◽  
Matching Algorithm ◽  
Speeded Up Robust Features ◽  
Binocular Stereovision ◽  
The Relationship

Binocular stereovision has become one of the development trends of machine vision and has been widely used in robot recognition and positioning. However, the current research on omnidirectional motion handling robots at home and abroad is too limited, and many problems cannot be solved well, such as single operating systems, complex algorithms, and low recognition rates. To make a high-efficiency handling robot with high recognition rate, this article studies the problem of robot image feature extraction and matching and proposes an improved speeded up robust features (SURF) algorithm that combines the advantages of both SURF and Binary Robust Independent Elementary Features. The algorithm greatly simplifies the complexity of the algorithm. Experiments show that the improved algorithm greatly improves the speed of matching and ensures the real-time and robustness of the algorithm. In this article, the problem of positioning the target workpiece of the robot is studied. The three-dimensional (3-D) reconstruction of the target workpiece position is performed to obtain the 3-D coordinates of the target workpiece position, thereby completing the positioning work. This article designs a software framework for real-time 3-D object reconstruction. A Bayesian-based matching algorithm combined with Delaunay triangulation is used to obtain the relationship between supported and nonsupported points, and 3-D reconstruction of target objects from sparse to dense matches is achieved.

High-Efficiency Three-Dimensional Visualization of Complex Microstructures via Multidimensional STEM Acquisition and Reconstruction

2020 ◽  
Vol 26 (2) ◽  
pp. 240-246 ◽  
Author(s):  
Kevin G. Field ◽  
Benjamin P. Eftink ◽  
Chad M. Parish ◽  
Stuart A. Maloy
Keyword(s):  
High Efficiency ◽  
3D Visualization ◽  
Accurate Determination ◽  
Three Dimensional ◽  
High Energy ◽  
Scanning Transmission Electron Microscope ◽  
Chromium Steel ◽  
Transmission Electron ◽  
Scanning Transmission

AbstractComplex material systems in which microstructure and microchemistry are nonuniformly dispersed require three-dimensional (3D) rendering(s) to provide an accurate determination of the physio-chemical nature of the system. Current scanning transmission electron microscope (STEM)-based tomography techniques enable 3D visualization but can be time-consuming, so only select systems or regions are analyzed in this manner. Here, it is presented that through high-efficiency multidimensional STEM acquisition and reconstruction, complex point cloud-like microstructural features can quickly and effectively be reconstructed in 3D. The proposed set of techniques is demonstrated, analyzed, and verified for a high-chromium steel with heterogeneously situated features induced using high-energy neutron bombardment.

Real-Time 3D Visualization and Navigation Using Fiber-Based Endoscopic System for Arthroscopic Surgery

2016 ◽  
Vol 20 (5) ◽  
pp. 735-742 ◽  
Author(s):  
Zhongjie Long ◽  
◽  
Kouki Nagamune ◽  
Ryosuke Kuroda ◽  
Masahiro Kurosaka ◽  
...  
Keyword(s):  
Knee Joint ◽  
Real Time ◽  
3D Visualization ◽  
Arthroscopic Surgery ◽  
Three Dimensional ◽  
Joint Surface ◽  
Computer Assisted ◽  
Normal Vector ◽  
3D Navigation ◽  
Freehand Technique

Three-dimensional (3D) navigation using a computer-assisted technique is being increasingly performed in minimally invasive surgical procedures because it can provide stereoscopic information regarding the operating field to the surgeon. In this paper, the development of a real-time arthroscopic system utilizing an endoscopic camera and optical fiber to navigate a normal vector for a reconstructed knee joint surface is described. A specific navigation approach suitable for use in a rendered surface was presented in extenso. A small-sized endoscopic tube was utilized arthroscopically on a cadaveric knee joint to show the potential application of the developed system. Experimental results of underwater navigation on a synthetic knee joint showed that our system allows for a higher accuracy than a freehand technique. The mean angle of navigation for the proposed technique is 9.5circ (range, 5circ to 17circ; SD, 2.86circ) versus 14.8circ (range, 6circ to 26circ; SD, 7.53circ) and 12.6circ (range, 4circ to 17circ; SD, 3.98circ) for two sites using a freehand technique.

scholarly journals Bedside 3D Visualization of Lymphatic Vessels with a Handheld Multispectral Optoacoustic Tomography Device

2020 ◽  
Vol 9 (3) ◽  
pp. 815 ◽  
Author(s):  
Guido Giacalone ◽  
Takumi Yamamoto ◽  
Florence Belva ◽  
Akitatsu Hayashi
Keyword(s):  
Real Time ◽  
Near Infrared ◽  
3D Visualization ◽  
Imaging Modality ◽  
Three Dimensional ◽  
Lymphatic Vessels ◽  
Secondary Lymphedema ◽  
Optoacoustic Tomography ◽  
Small Vessels ◽  
Promising Tool

Identification of lymphatics by Indocyanine Green (ICG) lymphography in patients with severe lymphedema is limited due to the overlying dermal backflow. Nor can the method detect deep and/or small vessels. Multispectral optoacoustic tomography (MSOT), a real-time three- dimensional (3D) imaging modality which allows exact spatial identification of absorbers in tissue such as blood and injected dyes can overcome these hurdles. However, MSOT with a handheld probe has not been performed yet in lymphedema patients. We conducted a pilot study in 11 patients with primary and secondary lymphedema to test whether lymphatic vessels could be detected with a handheld MSOT device. In eight patients, we could not only identify lymphatics and veins but also visualize their position and contractility. Furthermore, deep lymphatic vessels not traceable by ICG lymphography and lymphatics covered by severe dermal backflow, could be clearly identified by MSOT. In three patients, two of which had advanced stage lymphedema, only veins but no lymphatic vessels could be identified. We found that MSOT can identify and image lymphatics and veins in real-time and beyond the limits of near-infrared technology during a single bedside examination. Given its easy use and high accuracy, the handheld MSOT device is a promising tool in lymphatic surgery.

Research on Real-Time 3D Visualization of Dam Transport on Network Environment

2012 ◽  
Vol 256-259 ◽  
pp. 2431-2434
Author(s):  
Xu Liu ◽  
Bo Cui ◽  
Da Wei Tong
Keyword(s):  
Real Time ◽  
Visual Information ◽  
3D Visualization ◽  
Three Dimensional ◽  
Earth Dam ◽  
Practical Significance ◽  
Dump Truck ◽  
Network Environment ◽  
Complex Technology ◽  
Construction Organization

According to the high earth dam with a large volume, high construction intensity, tense schedule, numerous construction machines, complex technology, and a lot of unexpected risk factors, the construction transportation becomes poor if the arrangement for transportation to the dam is unreasonable, which may result in schedule delays. This paper discusses the system of the real-time 3D visualization on network environment which is based on Unity3D engine, and the query of real-time three-dimensional visual information for transportation to the dam on the network environment is achieved. Users can have a real-time view of the dump truck during transportation and optimize the arrangements of construction organization. The results of research have great practical significance.

scholarly journals Efficient protein tertiary structure retrievals and classifications using content based comparison algorithms

2007 ◽  
Author(s):  
◽  
Pin-Hao Chi
Keyword(s):  
Protein Structure ◽  
Real Time ◽  
High Throughput ◽  
High Efficiency ◽  
Tertiary Structure ◽  
Protein Structures ◽  
Three Dimensional ◽  
Comparison Algorithms ◽  
High Level ◽  
Protein Structure Retrieval

Functionally important sites of proteins are potentially conserved to specific three-dimensional structural folds. To understand the structure-to-function relationship, life sciences researchers and biologists have a great need to retrieve similar structures from protein databases and classify these structures into the same protein fold. Traditional protein structure retrieval and classification methods are known to be either computationally expensive or labor intensive. In the past decade, more than 35000 protein structures have been identified. To meet the needs of fast retrieval and classifying high-throughput protein data, our research covers three main subjects: (1) Real-time global protein structure retrieval: We introduce an image-based approach that extracts signatures of three-dimensional protein structures. Our high-level protein signatures are then indexed by multi-dimensional indexing trees for fast retrieval. (2) Real-time global protein structure classification: An advanced knowledge discovery and data mining (KDD) model is proposed to convert high-level protein signature into itemsets for mining association rules. The advantage of this KDD approach is to effectively reveal the hidden knowledge from similar protein tertiary structures and quickly suggest possible SCOP domains for a newly-discovered protein. In addition, we develop a non-parametric classifier, E-Predict, that can rapidly assign known SCOP folds and recognize novel folds for newly-discovered proteins. (3) Efficient local protein structure retrieval and classification: We propose a novel algorithm, namely, the Index-based Protein Substructure Alignment (IPSA), that constructs a two-layer indexing tree to capture the obscured similarity of protein substructures in a timely fashion. Our research works exhibit significantly high efficiency with reasonably high accuracy and will benefit the study of high-throughput protein structure-function evolutionary relationships.

Structure modeling in three-dimensional simulation of weft-knitted seamless kneepads

2021 ◽  
pp. 004051752110408
Author(s):  
Yingle Shen ◽  
Zhijia Dong ◽  
Honglian Cong
Keyword(s):  
Real Time ◽  
High Efficiency ◽  
Characteristic Point ◽  
Three Dimensional ◽  
Simulation Method ◽  
Loop Model ◽  
Characteristic Points ◽  
Dimensional Simulation ◽  
Joint Programming ◽  
Basic Loop

This paper proposes a simulation method suitable for weft-knitted seamless kneepads. The purpose of this study is to realize the simulation of complete weft-knitted products, and it has the advantage of speed to display the simulation results online in real-time. The loop of the basic loop model is controlled by up to eight characteristic points and the yarn path is fitted by a three-dimensional spline curve. To string the loop model into the fabric, the coordinate of the characteristic point of the loop at other positions is obtained based on the loop model at the origin by using the translation matrix and the rotation matrix. The simulation of the weft-knitted kneepad is realized by the joint programming of Visual Studio and WebGL. The results show that the structure model can achieve the simulation of the kneepad with high efficiency. This method has strong real-time performance and practicability.

Study on the Technologies of Rapid Three-Dimension Optical Measurement for Welding Deformation of Sheet Materials

2010 ◽  
Vol 97-101 ◽  
pp. 4251-4256 ◽  
Author(s):  
Zhen Zhong Xiao ◽  
Jin Liang ◽  
De Hong Yu ◽  
Zheng Zong Tang
Keyword(s):  
Real Time ◽  
High Speed ◽  
High Efficiency ◽  
Three Dimensional ◽  
Bundle Adjustment ◽  
Reconstruction Technique ◽  
Welding Deformation ◽  
Three Dimension ◽  
Time Deformation ◽  
Sheet Materials

To solve the problem of measurement for welding deformation of sheet metal, a non-contact three-dimension optical method is proposed. Firstly, photos of moving objects from different observation points are taken by two high-resolution and high-speed digital cameras simultaneously. Secondly, the three-dimensional coordinates of targets are calculated by three-dimensional reconstruction technique including collinear equation, photo orientation based on the coplanar equation, direct linear transform, epipolar geometric constraint and bundle adjustment method. Finally, the deformations at different moments are associated with points of the same name; the deformation of the observation points is calculated and the real time deformation curves are sketched. Compared with the traditional methods, this method is not subjected to the high temperature and strong interference and has the advantages of real-time, high efficiency and high precision. The application in the measurement for welding deformation of sheet materials is satisfying.

Real-time three-dimensional (3D) visualization of fusion image for accurate subdural electrodes placement of epilepsy surgery

2017 ◽  
Vol 44 ◽  
pp. 330-334 ◽  
Author(s):  
Ayataka Fujimoto ◽  
Tohru Okanishi ◽  
Sotaro Kanai ◽  
Keishiro Sato ◽  
Mitsuyo Nishimura ◽  
...  
Keyword(s):  
Real Time ◽  
Epilepsy Surgery ◽  
3D Visualization ◽  
Three Dimensional ◽  
Fusion Image ◽  
Subdural Electrodes
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