Proceedings of the International Conference of Science and Technology for the Internet of Things

2013 ◽  
Vol 380-384 ◽  
pp. 2042-2045
Author(s):  
Ming Wei Qin ◽  
Bao Lin Hou ◽  
Ya Jun Liang ◽  
Yuan Cheng Yao

Laboratories of IoT Engineering are occupied an important position in education industry. This paper, with the goal of grasping developing tendency and improving the application ability and combined with the characteristics of the Internet of Things Engineering of Southwest University of Science and Technology (SWUST) which focused on the training of application-oriented talent, proposed the experimental teaching programs of the Internet of Things Engineering and completed the development of experimental teaching platform. Its significance lies: to improve the level of teaching and research, improve the application ability of students, promote students employment, and enhance the competitiveness of the school.


2020 ◽  
Vol 4 (2) ◽  
pp. 155-163
Author(s):  
Taufik Akbar ◽  
◽  
Indra Gunawan ◽  

The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.


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