scholarly journals Research on Real-time Application of Ubiquitous Power Internet of Things Information Based on Smart Sensor Technology

2021 ◽  
Vol 714 (4) ◽  
pp. 042046
Author(s):  
Jiangping Nan ◽  
Yajuan Jia ◽  
Xuezhen Dai ◽  
Yinglu Liu ◽  
Xiaowen Ren ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Sensor Technology ◽  
Smart Sensor ◽  
Real Time Application

scholarly journals Internet of Things for Smart Environment and Integrated Ecosystem

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1218
Author(s):  
Renu Thapliyal ◽  
Ravi Kumar Patel ◽  
Ajit Kumar Yadav ◽  
Akhilesh Singh
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Wireless Sensors ◽  
Home Automation ◽  
Time System ◽  
Real Time System ◽  
Introduction History ◽  
Virtual System ◽  
Increasing Demand ◽  
Real Time Application

Internet of things (IoT) is in increasing demand in our daily life. This is the technology that transforms the real-time system into the virtual system and makes the communication in between machines. The rapid growth of IoT can be easily noticed in industries like home automation, transport, robotics, environment, energy, water domain etc. The IoT is a technological revolution that represents the future of computing and communications, and its development depends on dynamic technical innovation in a number of important fields, from wireless sensors to nanotechnology. They are going to tag each object for identifying, automating, monitoring and controlling. The aim of this paper is to give an overview of introduction, history, architecture, real-time application, challenges and future aspects of IoT along with statistics and its application in monitoring for future.  

scholarly journals Rancang Bangun Alat Pengukur Suhu Real Time Laboratorium Menggunakan Protokol MQTT Berbasis Internet of Things

2021 ◽  
Vol 9 (1) ◽  
pp. 39-46
Author(s):  
Indrawata Wardhana ◽  
◽  
Vandri Ahmad Isnaini ◽  
Rahmi Putri Wirman ◽  
Rita Syafitri ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Temperature Rise ◽  
Observation System ◽  
The Internet ◽  
Stable Temperature ◽  
Temperature Observation ◽  
The Impact ◽  
The Internet Of Things ◽  
Real Time Application

The stable temperature in the laboratories is the major requirement for ensuring safety at work. The changes in the temperature which are oftentimes caused by precisely unrecognized factor may provide hazardous impacts on humans who are working in such place. Similar researches were conducted; however, they did not use NodeMCU as a microcontroller and MQTT protocol. This study tried to build a real-time temperature observation system using MQTT protocol based on the Internet of Things which has a fast delivery speed message. The temperature and humidity were captured by using DHT22 sensor that were then stored in database for one month. The result showed that the temperature change of the laboratory could be rapidly detected through the tests process on a certain heat-produced device. It could be analyzed periodically using the real-time application so that the impact of temperature rise could be detected quickly.

Integration of Internet of Things with quantum dots: A state-of-the-art of medicine.

2021 ◽  
Vol 27 ◽  
Author(s):  
Drashti Desai ◽  
Pravin Shende
Keyword(s):  
Quantum Dots ◽  
Internet Of Things ◽  
Real Time ◽  
Cost Effective ◽  
Disruptive Innovation ◽  
Integrated System ◽  
Healthcare Sector ◽  
Sensor Technology ◽  
Biomedical Sciences ◽  
Medical Quality

: Internet of Things (IoT) emerges as disruptive innovation and development in the fields of drug delivery and biomedical sciences using on-target active transportation, sensors, wearable devices, real-time diagnostics, etc. Semiconducting fluorescence emitting material, quantum dots on integration with IoT displayed interesting results in healthcare sector especially in hospitals and pathological laboratories. Presently, the integrated system is used to improve productivity without the interference of human and offer cost-effective system. This integrated system can be used for detection of various diseases like epilepsy, cancer, diabetes, etc. and various biomedical applications like energy storage, lights, sensor technology, light filters, etc. The integrated technology is implemented into the field of medicine for simplifying the approaches in therapeutics and diagnostic applications. The collected and analyzed data are further useful for healthcare professionals to find patient-centric solutions. Artificial Intelligence-aided IoT emerges as a novel technology for transmitting and securing the health data. Despite some of the limitations like e-waste and risk of hacking, IoT-based QD system will be considered as a modern healthcare provider with life-saving products for enriching medical quality and real-time accessibility.

scholarly journals Real-Time Internet of Things Enabled Dashboard for Next Generation Anxiety Risk Classification

2021 ◽  
Author(s):  
Shama Siddiqui ◽  
Farid Nait-Abdesselam ◽  
Anwar Ahmed Khan ◽  
Shamsul Arfin Qasmi ◽  
Indrakshi Dey
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Space Time ◽  
Risk Classification ◽  
Sensor Technology ◽  
Physiological Data ◽  
Next Generation ◽  
Communication Architecture ◽  
Time Frequency ◽  
End To End

<div> <div> <div> <p>The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop an end-to-end communication architecture for real-time digital dashboards to visualize the anxiety risks of a population during a pandemic, as in the case of COVID-19. Such an architecture can be regarded as the next-generation anxiety risk classification mean for the healthcare industry 4.0 as it will be capable of generating automated and quick actions through the use of analytics on the collected data and predefined thresholds. Based on Internet of Things and wearable healthcare sensors, the proposed end-to-end communication architecture is capable of detecting physiological data related to heart rate, blood pressure, and SPO2, and communicate them to remote cloud servers. Based on this collected data, the centralized dashboard will classify in real time the patients of each geographic region involved according to a specific attribute, namely: normal, mild, moderate, high, severe, or extreme. In addition, we also propose to incorporate the emerging technologies of Space Time Frequency Spreading (STFS) and Space-Time Spreading-Aided Indexed Modulation (STS-IM) for the design of the communication links. It has been found that the integration of STFS and STS-IM promises to reduce the likelihood of data disruption for the proposed architecture.</p> </div> </div> </div>

scholarly journals Large-Scale Real-Time Semantic Processing Framework for Internet of Things

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xi Chen ◽  
Huajun Chen ◽  
Ningyu Zhang ◽  
Jue Huang ◽  
Wen Zhang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Semantic Processing ◽  
Large Scale ◽  
Sensor Data ◽  
Sensor Technology ◽  
Semantic Web Technologies ◽  
Computing Platform ◽  
Iot Applications ◽  
Processing Framework

Nowadays, the advanced sensor technology with cloud computing and big data is generating large-scale heterogeneous and real-time IOT (Internet of Things) data. To make full use of the data, development and deploy of ubiquitous IOT-based applications in various aspects of our daily life are quite urgent. However, the characteristics of IOT sensor data, including heterogeneity, variety, volume, and real time, bring many challenges to effectively process the sensor data. The Semantic Web technologies are viewed as a key for the development of IOT. While most of the existing efforts are mainly focused on the modeling, annotation, and representation of IOT data, there has been little work focusing on the background processing of large-scale streaming IOT data. In the paper, we present a large-scale real-time semantic processing framework and implement an elastic distributed streaming engine for IOT applications. The proposed engine efficiently captures and models different scenarios for all kinds of IOT applications based on popular distributed computing platform SPARK. Based on the engine, a typical use case on home environment monitoring is given to illustrate the efficiency of our engine. The results show that our system can scale for large number of sensor streams with different types of IOT applications.

A New Alternative Real-Time Method to Monitoring Dough Behavior during Processing Using Wireless Sensor Technology

2013 ◽  
Vol 9 (4) ◽  
pp. 505-509 ◽  
Author(s):  
Luiz Arthur Malta Pereira ◽  
Camila Nardi Pinto ◽  
Luciana Vieira Piza ◽  
Ana Carolina Sousa Silva ◽  
Ursula Gonzales-Barron ◽  
...  
Keyword(s):  
Real Time ◽  
Food Processing ◽  
Control Variable ◽  
Processing System ◽  
Sensor Technology ◽  
Bread Making ◽  
Food Industries ◽  
Proper Formulation ◽  
Available Information ◽  
Real Time Application

AbstractCurrently, food industries need rapidly available information related to food production while most lab-based instrumentation techniques are often complicated and expensive for real-time application. Studies show that the measurement of rheological characteristics of dough is a relevant control variable for the proper formulation of ingredients and bread-making additives. It is in this context that this work aims to present an alternative method for real-time monitoring of the evolution of the dough behavior during processing with telemetry form. The dough behavior is monitored through the changes in the electrical properties of the motor as affected by the properties of the machine torque that makes the mixture. Results of this work showed that it is possible to record dough deformation during mixing in real time and also demonstrated how wireless technology can contribute to the quality control of a food processing system.

scholarly journals Real-Time Internet of Things Enabled Dashboard for Next Generation Anxiety Risk Classification

2021 ◽  
Author(s):  
Shama Siddiqui ◽  
Farid Nait-Abdesselam ◽  
Anwar Ahmed Khan ◽  
Shamsul Arfin Qasmi ◽  
Indrakshi Dey
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Space Time ◽  
Risk Classification ◽  
Sensor Technology ◽  
Physiological Data ◽  
Next Generation ◽  
Communication Architecture ◽  
Time Frequency ◽  
End To End

<div> <div> <div> <p>The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop an end-to-end communication architecture for real-time digital dashboards to visualize the anxiety risks of a population during a pandemic, as in the case of COVID-19. Such an architecture can be regarded as the next-generation anxiety risk classification mean for the healthcare industry 4.0 as it will be capable of generating automated and quick actions through the use of analytics on the collected data and predefined thresholds. Based on Internet of Things and wearable healthcare sensors, the proposed end-to-end communication architecture is capable of detecting physiological data related to heart rate, blood pressure, and SPO2, and communicate them to remote cloud servers. Based on this collected data, the centralized dashboard will classify in real time the patients of each geographic region involved according to a specific attribute, namely: normal, mild, moderate, high, severe, or extreme. In addition, we also propose to incorporate the emerging technologies of Space Time Frequency Spreading (STFS) and Space-Time Spreading-Aided Indexed Modulation (STS-IM) for the design of the communication links. It has been found that the integration of STFS and STS-IM promises to reduce the likelihood of data disruption for the proposed architecture.</p> </div> </div> </div>

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