Inactivation of Airborne Viruses using Newly Designed Emitron

The objective of the current research is to validate the microbiological quality of Emitron against MS2 phage, Corona virus, bacteria, yeast, and molds. Unimech healthcare designed PMEE based Emitron which is mostly used to reduce the microbial count and virus count in an area. To perform microbiological testing of the Emitron, environmental monitoring was performed for MS2 phage, Corona virus, bacteria, yeast, and molds before and after treatment by settle plate method. Petri plates of sterilized Phage agar, SCDA and PDA media were prepared and exposed for environment monitoring before and after treatment by settle plate method. The phage agar and SCDA plates were incubated at 37°C for 72 hours and PDA plates incubated at 25°C for 5 days. Total of 99% reduction was reported in microbiology lab with respect to the microorganisms after installing Emitron. We can conclude that the Unimech healthcare’s Emitron is virus attenuation device so one can use it to purify the air and kill the viruses, bacteria, fungi, and other microbes.

Inactivation of Airborne Viruses using Newly Designed Emitron

The objective of the current research is to validate the microbiological quality of Emitron against MS2 phage, Corona virus, bacteria, yeast, and molds. Unimech healthcare designed PMEE based Emitron which is mostly used to reduce the microbial count and virus count in an area. To perform microbiological testing of the Emitron, environmental monitoring was performed for MS2 phage, Corona virus, bacteria, yeast, and molds before and after treatment by settle plate method. Petri plates of sterilized Phage agar, SCDA and PDA media were prepared and exposed for environment monitoring before and after treatment by settle plate method. The phage agar and SCDA plates were incubated at 37°C for 72 hours and PDA plates incubated at 25°C for 5 days. Total of 99% reduction was reported in microbiology lab with respect to the microorganisms after installing Emitron. We can conclude that the Unimech healthcare’s Emitron is virus attenuation device so one can use it to purify the air and kill the viruses, bacteria, fungi, and other microbes.

An internet of things framework for real-time aquatic environment monitoring using an Arduino and sensors

Aquaculture is the farming of aquatic organisms in natural, controlled marine and freshwater environments. The real-time monitoring of aquatic environmental parameters is very important in fish farming. Internet of things (IoT) can play a vital role in the real-time monitoring. This paper presents an IoT framework for the efficient monitoring and effective control of different aquatic environmental parameters related to the water. The proposed system is implemented as an embedded system using sensors and an Arduino. Different sensors including pH, temperature, and turbidity, ultrasonic are placed in cultivating pond water and each of them is connected to a common microcontroller board built on an Arduino Uno. The sensors read the data from the water and store it as a comma-separated values (CSV) file in an IoT cloud named ThingSpeak through the Arduino microcontroller. To validate the experiment, we collected data from 5 ponds of various sizes and environments. After experimental evaluation, it was observed among 5 ponds, only three ponds were perfect for fish farming, where these 3 ponds only satisfied the standard reference values of pH (6.5-8.5), temperature (16-24 °C), turbidity (below 10 ntu), conductivity (970-1825 μS/cm), and depth (1-4) meter. At the end of this paper, a complete hardware implementation of this proposed IoT framework for a real-time aquatic environment monitoring system is presented.

An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data

Prior knowledge of the effectiveness of new observation instruments or new data streams for air quality can contribute significantly to shaping the policy and budget planning related to those instruments and data. In view of this, one of the main purposes of the development and application of the Observing System Simulation Experiments (OSSE) is to assess the potential impact of new observations on the quality of the current monitoring or forecasting systems, thereby making this framework valuable. This study introduces the overall OSSE framework established to support air quality forecasting and the details of its individual components. Furthermore, it shows case study results from Northeast Asia and the potential benefits of the new observation data scenarios on the PM2.5 forecasting skills, including the PM data from 200 virtual monitoring sites in the Gobi Desert and North Korean non-forest areas (NEWPM) and the aerosol optical depths (AOD) data from South Korea’s Geostationary Environment Monitoring Spectrometer (GEMS AOD). Performance statistics suggest that the concurrent assimilation of the NEWPM and the PM data from current monitoring sites in China and South Korea can improve the PM2.5 concentration forecasts in South Korea by 66.4% on average for October 2017 and 95.1% on average for February 2018. Assimilating the GEMS AOD improved the performance of the PM2.5 forecasts in South Korea for October 2017 by approximately 68.4% (~78.9% for February 2018). This OSSE framework is expected to be continuously implemented to verify its utilization potential for various air quality observation systems and data scenarios. Hopefully, this kind of application result will aid environmental researchers and decision-makers in performing additional in-depth studies for the improvement of PM air quality forecasts.

Sensor Mathematical Model Data Fusion Biobjective Optimization

Sensors are an important tool to quantify the changes and an important part of the information acquisition system; the performance and accuracy of sensors are more strictly desired. In this paper, a highly sensitive fiber optic sensor for measuring temperature and refractive index is prepared by using femtosecond laser micromachining technology and fiber fusion technology. The multimode fiber is first spliced together with single-mode fiber in a positive pair, and then, the multimode fiber is perforated using a femtosecond laser. The incorporation of data model sensors has led to a rapid increase in the development and application of sensors as well. Based on the design concept and technical approach of the wireless sensor network system, a general development plan of the indoor environmental monitoring system is proposed, including the system architecture and functional definition, wireless communication protocols, and design methods of node applications. The sensor has obvious advantages over traditional electrical sensors; the sensor is resistant to electromagnetic interference, electrical insulation, corrosion resistance, low loss, small size, high accuracy, and other advantages. The upper computer program of the indoor environment monitoring system was developed in a Visual Studio development environment using C# language to implement the monitoring, display, and alarm functions of the indoor environment monitoring system network. The sensor-data model interfusion with each other for mutual integration performs the demonstration of the application.

The Sea Route Planning for Survey Vessel Intelligently Navigating to the Survey Lines

Marine surveying is an important part of marine environment monitoring systems. In order to improve the accuracy of marine surveying and reduce investment in artificial stations, it is necessary to use high-precision GNSS for shipborne navigation measurements. The basic measurement is based on the survey lines that are already planned by surveyors. In response to the needs of survey vessels sailing to the survey line, a method framework for the shortest route planning is proposed. Then an intelligent navigation system for survey vessels is established, which can be applied to online navigation of survey vessels. The essence of the framework is that the vessel can travel along the shortest route to the designated survey line under the limitation of its own minimum turning radius. Comparison and analysis of experiments show that the framework achieves better optimization. The experimental results show that our proposed method can enable the vessel to sail along a shorter path and reach the starting point of the survey line at the specified angle.