IoT-Enabled Non-Contact-Based Infrared Thermometer for Temperature Recording of a Person

2021 ◽  
pp. 195-203
Author(s):  
Swapna B.
Keyword(s):  
Real Time ◽  
Web Application ◽  
Temperature Data ◽  
Monitoring Systems ◽  
Laboratory Environment ◽  
Environment Temperature ◽  
History Of ◽  
The Stability ◽  
Indoor Conditions

Laboratories are essential facilities provided in professional institutes for scientific and technological work. The lab must ensure their accuracy to regulatory requirements and maintain their data records so that the laboratory environment can be monitored properly. The laboratory environment temperature (LET) is monitored to ensure proper regulation and maintenance of indoor conditions and also to correlate the collected samples with these conditions. The LET data collection must be stored to influence the quality of the results and to ensure the stability of the laboratory environment. Hence, an IoT solution is presented to supervise real-time temperature and is known as iRT. This method helps to monitor ambient object supervision in real time. It is composed of a hardware prototype to collect the temperature data and to use web application to provide the history of temperature evolution. The result gained from the study is promising, and it provides a significant contribution to IoT-based temperature monitoring systems.

The Development of a SMPS Monitoring System Based on ZigBee

2013 ◽  
Vol 333-335 ◽  
pp. 1704-1707
Author(s):  
Jun Ho Ko ◽  
Ming Jin ◽  
Sung Ho Park ◽  
Yoon Sang Kim
Keyword(s):  
Power Quality ◽  
Monitoring System ◽  
Medical Devices ◽  
Power Supply ◽  
Power Source ◽  
Temperature Data ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Power Quality Monitoring

The rapidly increasing usage of high-powered devices and the high specification in personal and industrial/medical devices has led to a greater demand for a SMPS for high-powered devices. A stable and reliable power source for such devices and research on power quality monitoring systems are needed. To these ends, this paper introduces a SMPS monitoring system based on ZigBee communication. The SMPS monitoring system uses ZigBee to collect the voltage, current, and temperature data from SPMS in real time. The collected data are visually synchronized and the current power supply status is displayed to the operator. In addition, to prevent any decline in the quality of the power, the system gives feedback via smartphone to the operator if errors are detected.

Development and Application of Real-Time Quality Monitoring System of Hot Mixed Asphalt Mixture

2013 ◽  
Vol 321-324 ◽  
pp. 1863-1866
Author(s):  
Wei Feng Zhou ◽  
Wen Bin Xie
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Monitoring System ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Quality Monitoring ◽  
Pavement Performance ◽  
The Stability ◽  
Hot Mixed Asphalt

As the stability of quality of hot mixed asphalt mixture (including gradation, asphalt aggregate ratio, temperature, etc) is the premise of good pavement performance of asphalt pavement, it is regarded the key of ensuring service life and pavement performance of road to ensure the quality of hot mixed asphalt mixture. This research is oriented at developing real-time quality control & monitoring system of asphalt mixture further on the basis of the established quality control system of mixing plant. The functions and operating principles of the system are introduced in this article.

scholarly journals DNA-Templated Fluorescent Silver Nanoclusters Inhibit Bacterial Growth While Being Non-Toxic to Mammalian Cells

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 4045
Author(s):  
Lewis Rolband ◽  
Liam Yourston ◽  
Morgan Chandler ◽  
Damian Beasock ◽  
Leyla Danai ◽  
...  
Keyword(s):  
Mammalian Cells ◽  
Antibacterial Properties ◽  
Silver Nanoclusters ◽  
Metal Nanoclusters ◽  
Fluorescent Properties ◽  
Dna Oligonucleotides ◽  
Mammalian Cell Lines ◽  
History Of ◽  
The Stability

Silver has a long history of antibacterial effectiveness. The combination of atomically precise metal nanoclusters with the field of nucleic acid nanotechnology has given rise to DNA-templated silver nanoclusters (DNA-AgNCs) which can be engineered with reproducible and unique fluorescent properties and antibacterial activity. Furthermore, cytosine-rich single-stranded DNA oligonucleotides designed to fold into hairpin structures improve the stability of AgNCs and additionally modulate their antibacterial properties and the quality of observed fluorescent signals. In this work, we characterize the sequence-specific fluorescence and composition of four representative DNA-AgNCs, compare their corresponding antibacterial effectiveness at different pH, and assess cytotoxicity to several mammalian cell lines.

scholarly journals BoardION: real-time monitoring of Oxford Nanopore sequencing instruments

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aimeric Bruno ◽  
Jean-Marc Aury ◽  
Stefan Engelen
Keyword(s):  
Real Time ◽  
Web Application ◽  
Data Streaming ◽  
Access To Information ◽  
Library Preparation ◽  
Sequencing Data ◽  
Time Data ◽  
Interactive Interface ◽  
Oxford Nanopore

Abstract Background One of the main advantages of the Oxford Nanopore Technology (ONT) is the possibility of real-time sequencing. This gives access to information during the experiment and allows either to control the sequencing or to stop the sequencing once the results have been obtained. However, the ONT sequencing interface is not sufficient to explore the quality of sequencing data in depth and existing quality control tools do not take full advantage of real-time data streaming. Results Herein, we present BoardION, an interactive web application to analyze the efficiency of ONT sequencing runs. The interactive interface of BoardION allows users to easily explore sequencing metrics and optimize the quantity and the quality of the data generated during the experiment. It also enables the comparison of multiple flowcells to assess library preparation protocols or the quality of input samples. Conclusion BoardION is dedicated to people who manage ONT sequencing instruments and allows them to remotely and in real time monitor their experiments and compare multiple sequencing runs. Source code, a Docker image and a demo version are available at http://www.genoscope.cns.fr/boardion/.

Internet of Things Monitoring System of a Modeled Cleanroom

2021 ◽  
Vol 20 (3) ◽  
pp. 7-14
Author(s):  
Muhammad Ilias Rosli ◽  
Mohd Ridzuan Ahmad
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Humidity Sensor ◽  
Historical Data ◽  
Monitoring Systems ◽  
Quality Of Work ◽  
System Requirements ◽  
Temperature And Pressure ◽  
Working Out

The development of a cleanroom monitoring system needs more concentrated consideration consistently. There is a challenge to prove that the cleanroom operates following the specifications, in other words, users do not see the software error, they see failures in execution. This paper aims to design a smart monitoring system to monitor important parameters inside the cleanroom, i.e. temperature, humidity, and pressure to produce a good quality of work or experiment inside the cleanroom. The observing framework utilizes Arduino Mega as a microcontroller, ESP 8266 Wi-Fi module, DHT 11 as an integrated temperature and humidity sensor, HX710B as a pressure sensor, and Blynk application as a monitoring system to record and show information including provide fault notification. The project is tested on a modeled cleanroom to monitor important parameters via smartphone anytime and anywhere. From the experimental results, the Cleanroom IoT Monitoring System successfully read all parameters based on the system requirements and displays data of parameters in real-time and stored historical data. This system is also successful to provide failures notification of humidity, temperature, and pressure in real-time if any of the parameters are out of range from the system requirements. Lastly, users can monitor the condition of the cleanroom anytime and anywhere including receiving real-time failures notifications. This concept can avoid or reduce cleanroom working out of the criteria that can cause testing or experiment inside the cleanroom to be inaccurate. By observing and controlling the prerequisite development for IoT monitoring systems, great nature and better quality of performance of operational cleanrooms can be delivered.

Hardware and Software System for Determination of Iron in Coagulants Based on Spectrophotometric Analysis

2021 ◽  
Vol 43 (4) ◽  
pp. 89-102
Author(s):  
A.P. Safonyk ◽  
◽  
I.M. Hrytsiuk ◽  
M.M. Mishchanchuk ◽  
І.V. Ilkiv ◽  
...  
Keyword(s):  
Real Time ◽  
Web Application ◽  
Color Space ◽  
Spectrophotometric Analysis ◽  
Laboratory Setup ◽  
Experimental Laboratory ◽  
History Of ◽  
Artificial Neural Network Ann ◽  
Color And Light

Methods for determining the coagulant concentration in the process of electrocoagulation are considered. An experimental laboratory setup for researching photometric analysis processes was created, the principle of which is on the determination of color and light intensity in real time. Based on spectrophotometric analysis an artificial neural network (ANN) has been developed to determine the coagulant concentration (Fe) in real time, which according to the obtained values of RGB converts to the color space of HSL, and then converts to the value of the concentration of Fe. Software for determining the concentration of iron in a coagulant using artificial intelligence has been developed, which is a web application that displays the color parameters of a coagulant, a certain concentration of iron in a coagulant, and also saves the history of all measurements to a database. While investigating ANN by various methods, an optimizer was matched for the respective process, the standard deviation (RMSE) is 6.91%.

scholarly journals A QoE Evaluation Method for RT-HDMV Based on Multipath Relay Service

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1127
Author(s):  
Yuzhuo Zhan ◽  
Weimin Lei ◽  
Yunchong Guan
Keyword(s):  
Real Time ◽  
Video Transmission ◽  
Evaluation Method ◽  
Communication Process ◽  
High Definition ◽  
Network Resources ◽  
The Stability ◽  
Single Path ◽  
Multiple Transmission

Multipath diversity leads to a possible higher performance for real-time high definition video, especially for medical video transmission, which would improve the stability of multiple transmission paths in the symmetrical state, and avoid the potential losses of imaging information in the communication process. Most of the previous works are always based on the single-path end-to-end transmission, although the service had been demonstrated that it is unable to meet the rigorous demand for the RT-HDMV. In the paper, a multipath relay service based on the QoE (quality of experience) evaluation method is proposed for the RT-HDMV (real-time high definition medical video). The method eliminates several of the limitations in the existing methods for some conventional single-path transmission. It can fully utilize the finite network resources and transmission bandwidth to meet the users’ demands of the RT-HDMV to get a better score of the QoE. We use a four-stage framework to evaluate the QoE, which consists of constructing the multipath relay transmission for the RT-HDMV, calculating the weights of diversified QoS parameters in the multipath, designing the load distribution strategy by the mapping between the QoS (quality of service) and QoE, and redefining the rule of the QoE evaluation. Many experiments show that the proposed design scheme achieves weighting of the transmission sub-paths and computes the QoE score. Compared with the state-of-art methods in the single path transmission scene, our framework mainly gains the excellent performance for the RT-HDMV.

scholarly journals On the Development of a Real Time Water Monitoring System

2021 ◽  
Vol 327 ◽  
pp. 02011
Author(s):  
Sandel Zaharia ◽  
Gabriel Iana ◽  
Cristian Monea ◽  
Mihnea Sandu
Keyword(s):  
Artificial Intelligence ◽  
Water Quality ◽  
Real Time ◽  
Web Application ◽  
Quality Of Data ◽  
Sewer System ◽  
Hardware Platform ◽  
Running Water ◽  
Software Application

The goal of the paper starts from the need for real-time monitoring of both running water and its affluents and urban sewerage systems with a role in discharging wastewater. The idea is to assess water quality and to determine the sources of pollutants resulting from human activity. The data quality will be obtained by purchasing them with a high resolution, both spatial and temporal, using multi-parametric sensors on a hardware platform of its own multisensory acquisition. The acquired data is stored in CLOUD or local server for storage, analysis and interpretation. There will be a software application based on artificial intelligence technologies that serves to identify and classify different polluted areas, locate pollution sources, predict their extinction, degree of pollution and help make decisions based on real-time detection. A web application will provide all the data collected in the field and it can be accessed on a common online platform. This allows researchers or employees of relevant agencies as well as city sewer system operators to validate the quality of data purchased from sensors and end users to be sure of their correctness.

scholarly journals DRY MIXTURES AND MIXING EQUIPMENT FOR THEIR PRODUCTION

2021 ◽  
Vol 5 (12) ◽  
pp. 145-150
Author(s):  
Y. Fadin ◽  
O. Shemetova
Keyword(s):  
Building Materials ◽  
Raw Materials ◽  
Mixing Process ◽  
Chemical Additives ◽  
High Quality ◽  
Main Indicator ◽  
History Of ◽  
The Creation ◽  
The Stability

Today’s economic situation creates conditions for revising the existing base of materials and raw materials in construction, as well as for transforming and using it in the future. One of the ways to achieve this goal is the creation of new types of building materials, more effective and low in the price category compared to the classic ones. Dry building mixtures belongs to such materials. The high quality of dry building mixes is guaranteed by the stability of their composition and the properties of the ingredients used. Saving time when using high-quality dry building mixes will allow to get an irreproachable end result. A necessary component in the manufacture of dry building mixtures is the mixing process, which includes the preparation of raw materials, dosing and the distribution of chemical additives. The main indicator of the quality of the finished product in the production of dry mixes is its uniformity. Therefore, special attention is paid to the mixing section in the production line. The variety of bulk materials and their properties contributes to the creation of various types of mixers for high-quality mixing of components. The article discusses the history of the emergence of dry building mixes and mixing equipment for production.

scholarly journals BoardION: real-time monitoring of Oxford Nanopore Technologies devices

2020 ◽  
Author(s):  
Aimeric Bruno ◽  
Jean-Marc Aury ◽  
Stefan Engelen
Keyword(s):  
Real Time ◽  
Web Application ◽  
Data Streaming ◽  
Sequencing Data ◽  
Real Time Monitoring ◽  
Time Data ◽  
Oxford Nanopore ◽  
Sequencing Platforms ◽  
Oxford Nanopore Technologies

AbstractSummaryOne of the main advantages of the Oxford Nanopore Technology (ONT) is the possibility of sequencing in real time. However, the ONT sequencing interface is not sufficient to explore the quality of sequencing data in depth and existing tools do not take full advantage of real-time data streaming. We present BoardION, an interactive web application, dedicated to sequencing platforms, for real-time monitoring of all ONT sequencing devices (MinION, Mk1C, GridION and PromethION). BoardION allows users to easily explore sequencing metrics and optimize the quantity and the quality of the generated data during the experiment. It also enables the comparison of several flowcells to evaluate the library preparation protocols or the quality of input samples.AvailabilitySource code and a Docker image are available at http://www.genoscope.cns.fr/boardion/[email protected]

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