The disasters can be either natural or man-made. Control and management of disaster of any kind is possible in effective and robust way by the implementation of IoT in the system. The objective of implementing IoT into the disaster management system is the quick and effective recovery from the disaster. The various methods that can be deployed after the disaster is outlined through utilization of IoT. This paper gives an insight on the various methods that can be effectively used after the disaster using IoT. The existing techniques are very well monitored and has the ability to react to the situation as per needs, this paper significantly provides the contribution in analyzing these techniques for appropriate disaster management development block.
Various physical parameters like humidity, temperature, raindrop, GSM, atmospheric pressure and LDR can be monitored effectively and can be made more interactive with the help of different sensors that are interfaced with microcontrollers like ATmega328P. All the sensors can be connected to this microcontroller ATmega328P as the center preparing unit for the whole framework and plans can be associated with the microcontroller. The real-time monitoring of the various systems becomes possible with this IoT based system. The Paper displays different application based on IoT and proves that the monitoring and control of the system becomes flexible, robust and effective for any real-time implementation .
This paper introduces a method of automatic multilevelcar parking system that parks the vehicle in reduced space using the conditions based on fuzzy logic controller. It possibly controls the traffic and avoids traffic congestion .This automatic multi-level vehicle stacking system also has online access to book the parking slot in advance which is interfaced with the LabVIEW. The vehicle placed at the entrance point is parked automatically according to the availability of slots. The car park consists of number of slots based on three different sizes. The car is moved to the particular slot with help of an elevator placed at the centre of the parking system. The elevator consists of an arm that moves along the vertical axis and can rotate along the multi stack parking system. LabVIEW is used to check the availability of slots, total number of cars parked the movement of the elevator and the position of the arm. The programming software tracks the location of the vehicle and returns the vehicle on request from the patron by the access system installed. Thus the paper shows the description of the automatic multi-level vehicle stacking with microcontroller and fuzzy mechanism using LabVIEW to achieve conventional parking system.
Diabetes mellitus is a disease which needs constant and continued attention. The treatment of diabetes is patient specific and extreme care and caution is necessary for effective monitoring. The amount of insulin to be given to patients should be exact to their needs for obtaining the best results. The proposed system calculates the insulin required by using patient blood glucose levels and weight using fuzzy analysis. This quantity of insulin can be delivered to the patient using an insulin pump. The process has been simulated in LabVIEW. The insulin levels can be sent to the doctor by online access. It has been implemented and tested using each of the three different protocols web publishing, TCP-IP and datasocket connections separately. The doctor can advise further treatment and also suggest changes to the insulin quantity according to current glucose levels. The patient can also post questions for doctor consultation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.