Design and Development of a low cost Ultraviolet Disinfection system to reduce the cross infection of SARS-CoV-2 in ambulances

Author(s):  
Sakhawat Hossen Rakib ◽  
S.M Masum ◽  
Md. Rashadul Islam Patwari ◽  
Rafatul Alam Fahima ◽  
Atika Farhana ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3817
Author(s):  
Nicholas Wei-Jie Goh ◽  
Jun-Jie Poh ◽  
Joshua Yi Yeo ◽  
Benjamin Jun-Jie Aw ◽  
Szu Cheng Lai ◽  
...  

Fever is a common symptom of many infections, e.g., in the ongoing COVID-19 pandemic, keeping monitoring devices such as thermometers in constant demand. Recent technological advancements have made infrared (IR) thermometers the choice for contactless screening of multiple individuals. Yet, even so, the measurement accuracy of such thermometers is affected by many factors including the distance from the volunteers’ forehead, impurities (such as sweat), and the location measured on the volunteers’ forehead. To overcome these factors, we describe the assembly of an Arduino-based digital IR thermometer with distance correction using the MLX90614 IR thermometer and HC-SR04 ultrasonic sensors. Coupled with some analysis of these factors, we also found ways to programme compensation methods for the final assembled digital IR thermometer to provide more accurate readings and measurements.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Godoi Bernardes Da Silva ◽  
R Dias Santos ◽  
M Sommer Bittencourt ◽  
J.A.M Carvalho ◽  
M Franken ◽  
...  

Abstract Introduction The Finnish Diabetes Risk Score (FINDRISC) was developed in Europe to predict type 2 diabetes mellitus (T2DM) risk without need of laboratory tests. Small cross-sectional studies analyzed the association between RF with metabolic syndrome (MS) or hepatic steatosis (HS). Our objective was to test the association of FINDRISC with MS or HS, in a transversal and longitudinal way. Methods In 41,668 individuals (age 41.9±9.7 years; 30.8% women) who underwent health evaluation between 2008 and 2016 in a single centre in Brazil, we tested the transversal association between FINDRISC and MS or HS, in multivariate models. The same analyzes were performed longitudinally in non-diabetic subgroups, followed for 5±3 years, to test the predictive value of FINDRISC and the incidental risk of MS (n=10,075 individuals) or HS (n=7,097 individuals), using logistic regression. Models were adjusted for confounders such as sex, use of medications for dyslipidemia, smoking, and baseline plasma levels of glucose, creatinine and lipids. A receiver operating characteristic (ROC) curve was used to evaluate the discriminative and predictive values of FINDRISC for MS and HS. Results In the cross-sectional analysis, 2,252 (5%) individuals had MS and 14,176 (34%) HS. In the longitudinal analysis, there were 302 cases of incidental MS (2%) and 1,096 cases of HS (15%). FINDRISC was independently associated with MS and HS in the cross-sectional analysis (respectively, OR 1.27, 95% CI: 1.25–1.28, P<0.001; and OR 1.21, 95% CI: 1.20–1.22, P<0.001, per FINDRISC unit) and in longitudinal analysis (respectively, OR of 1.18, 95% CI: 1.15–1.21, P<0.001; and OR of 1.10, 95% CI: 1.08–1.11, P<0.001, per FINDRISC unit). In comparison with individuals with low FINDRISC, those with moderate, high and very high values showed significant and proportional increases of the 12 to 77 fold in the chance of current SM (P<0.001) and 3 to 10 fold in the chance of HS (P<0.001). During follow-up, these increases were 3 to 10 fold in the chance of incidental MS (P<0.001) and 1 to 3 fold in the chance of HS (P<0.001). The AUC from cross-sectional analysis for MS and HS were respectively 0.82 (95% CI 0.81–0.83) and 0.76 (95% CI 0.75–0.76), and in longitudinal analysis 0.73 (95% CI 0.70–0.76) and 0.63 (95% CI 0.61–0.65), respectively. Conclusion FINDRISC was associated with the presence and onset of MS and HS, but it predicted better metabolic syndrome risk than hepatic steatosis. Therefore, this simple, practical and low-cost score can be useful for population screening and identification of subgroups of individuals at higher risk future metabolic diseases. Funding Acknowledgement Type of funding source: None


Author(s):  
A. F. Kheiralla ◽  
Hussain Yousif ◽  
Hassan Galal Hassan ◽  
Hafiza Abdelmoniem Khiery ◽  
Marwa Ghanim

2020 ◽  
pp. 495-501
Author(s):  
Jaya Prasad ◽  
Reema Anne Roy ◽  
Monish Mohan Kora ◽  
Abin Sam ◽  
Chriso Christudhas ◽  
...  

There are many integrated perimeter security solutions available, the main objective of this paper is to provide cost effective solution. This paper mainly focuses on design of a Low-cost vibration module with RS485 interface, Controller hub with RS485 interface and Ethernet interface and a Command Centre server. The platform consists of RS485 daisy chained vibration sensor network connected to control server via Controller hub. It is designed to pin point the area of intrusion and cueing the camera to that specified location. It can be integrated with smart devices like PTZ/Thermal/IR cameras or radars. Each daisy chain consists of 250 sensors with each sensor 3 metres apart, each ethernet hub can handle 2 daisy chains. The Controller hub gets vibration sensor information via RS485 and transmits data to Command centre using TCP/IP protocol. The Controller centre identifies the location of the sensor and moves the PTZ camera to the specific location and live streams the data to the user.


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