scholarly journals IoT based on secure personal healthcare using RFID technology and steganography

2021 ◽  
Vol 11 (4) ◽  
pp. 3300
Author(s):  
Haider Ali Khan ◽  
Raed Abdulla ◽  
Sathish Kumar Selvaperumal ◽  
Ammar Bathich
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Medical Model ◽  
Environmental Sensors ◽  
Rfid Technology ◽  
Time Data ◽  
Personal Healthcare ◽  
Smart Healthcare ◽  
Real Time Data ◽  
User Data

Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.

scholarly journals Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

2018 ◽  
Vol 210 ◽  
pp. 03008
Author(s):  
Aparajita Das ◽  
Manash Pratim Sarma ◽  
Kandarpa Kumar Sarma ◽  
Nikos Mastorakis
Keyword(s):  
Air Pollution ◽  
Light Intensity ◽  
Real Time ◽  
Environmental Conditions ◽  
Low Cost ◽  
Environment Monitoring ◽  
Time Data ◽  
Graphical Information ◽  
Real Time Data ◽  
Sun Light

This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.

scholarly journals LOW COST DATABASE DESIGN FOR 3D VIEWING AND ACCESS

2011 ◽  
Author(s):  
Kambiz Farahmand
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Visual Basic ◽  
Parametric Modeling ◽  
Shop Floor ◽  
Time Data ◽  
Microsoft Access ◽  
Technical Manual ◽  
Real Time Data ◽  
Modeling Software

Using the popular desktop software, Microsoft Access and Visual Basic coding, a database inventory was designed for a helicopter maintenance plant. This design aims to provide the managers and maintenance engineers a reliable tool to view the inventory list in its shops. This design model uses real time data from the shop floor and the data provided in the Blackhawk Technical Manual for Army operations. This project provides integration between Pro/ENGINEER and Microsoft Access. Microsoft Access is a desktop database application which is inexpensive and available readily. PTC© Pro/ENGINEER is interactive, powerful parametric modeling software for 3D viewing and modeling. In effect, this design aims to provide the managers with a better understanding and quick access to inventory list of the shop floor and as such better utilization of all the available resources.

scholarly journals MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4615
Author(s):  
Olivier Pieters ◽  
Emiel Deprost ◽  
Jonas Van Der Donckt ◽  
Lore Brosens ◽  
Pieter Sanczuk ◽  
...  
Keyword(s):  
Climate Change ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Cost Effective ◽  
Time Data ◽  
Real Time Data ◽  
Microclimate Monitoring ◽  
Weather Stations

Monitoring climate change, and its impacts on ecological, agricultural, and other societal systems, is often based on temperature data derived from official weather stations. Yet, these data do not capture most microclimates, influenced by soil, vegetation and topography, operating at spatial scales relevant to the majority of organisms on Earth. Detecting and attributing climate change impacts with confidence and certainty will only be possible by a better quantification of temperature changes in forests, croplands, mountains, shrublands, and other remote habitats. There is an urgent need for a novel, miniature and simple device filling the gap between low-cost devices with manual data download (no instantaneous data) and high-end, expensive weather stations with real-time data access. Here, we develop an integrative real-time monitoring system for microclimate measurements: MIRRA (Microclimate Instrument for Real-time Remote Applications) to tackle this problem. The goal of this platform is the design of a miniature and simple instrument for near instantaneous, long-term and remote measurements of microclimates. To that end, we optimised power consumption and transfer data using a cellular uplink. MIRRA is modular, enabling the use of different sensors (e.g., air and soil temperature, soil moisture and radiation) depending upon the application, and uses an innovative node system highly suitable for remote locations. Data from separate sensor modules are wirelessly sent to a gateway, thus avoiding the drawbacks of cables. With this sensor technology for the long-term, low-cost, real-time and remote sensing of microclimates, we lay the foundation and open a wide range of possibilities to map microclimates in different ecosystems, feeding a next generation of models. MIRRA is, however, not limited to microclimate monitoring thanks to its modular and wireless design. Within limits, it is suitable or any application requiring real-time data logging of power-efficient sensors over long periods of time. We compare the performance of this system to a reference system in real-world conditions in the field, indicating excellent correlation with data collected by established data loggers. This proof-of-concept forms an important foundation to creating the next version of MIRRA, fit for large scale deployment and possible commercialisation. In conclusion, we developed a novel wireless cost-effective sensor system for microclimates.

Enabling human–infrastructure interfaces for inspection using augmented reality

2020 ◽  
pp. 147592172097701
Author(s):  
D Maharjan ◽  
M Agüero ◽  
D Mascarenas ◽  
R Fierro ◽  
F Moreu
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Industrial Revolution ◽  
Cost Allocation ◽  
Low Cost ◽  
Data Access ◽  
Maintenance Cost ◽  
Time Data ◽  
Real Time Data ◽  
Human Awareness

Decaying infrastructure maintenance cost allocation depends heavily on accurate and safe inspection in the field. New tools to conduct inspections can assist in prioritizing investments in maintenance and repairs. The industrial revolution termed as “Industry 4.0” is based on the intelligence of machines working with humans in a collaborative workspace. Contrarily, infrastructure management has relied on the human for making day-to-day decisions. New emerging technologies can assist during infrastructure inspections, to quantify structural condition with more objective data. However, today’s owners agree in trusting the inspector’s decision in the field over data collected with sensors. If data collected in the field is accessible during the inspections, the inspector decisions can be improved with sensors. New research opportunities in the human–infrastructure interface would allow researchers to improve the human awareness of their surrounding environment during inspections. This article studies the role of Augmented Reality (AR) technology as a tool to increase human awareness of infrastructure in their inspection work. The domains of interest of this research include both infrastructure inspections (emphasis on the collection of data of structures to inform management decisions) and emergency management (focus on the data collection of the environment to inform human actions). This article describes the use of a head-mounted device to access real-time data and information during their field inspection. The authors leverage the use of low-cost smart sensors and QR code scanners integrated with Augmented Reality applications for augmented human interface with the physical environment. This article presents a novel interface architecture for developing Augmented Reality–enabled inspection to assist the inspector’s workflow in conducting infrastructure inspection works with two new applications and summarizes the results from various experiments. The main contributions of this work to computer-aided community are enabling inspectors to visualize data files from database and real-time data access using an Augmented Reality environment.

scholarly journals DESIGN AND IMPLEMENTATION OF A LOW-COST UAV-BASED MULTI-SENSOR PAYLOAD FOR RAPID-RESPONSE MAPPING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1017-1022 ◽  
Author(s):  
M. Sakr ◽  
Z. Lari ◽  
N. El-Sheimy
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Low Cost ◽  
Building Blocks ◽  
Rapid Response ◽  
Disaster Mitigation ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Real Time Data Processing

The main objective of this paper is to investigate the potential of using Unmanned Aerial Vehicles (UAVs) as a platform to collect geospatial data for rapid response applications, especially in hard-to-access and hazardous areas. The UAVs are low-cost mapping vehicles, and they are easy to handle and deploy in-field. These characteristics make UAVs ideal candidates for rapid-response and disaster mitigation scenarios. The majority of the available UAV systems are not capable of real-time/near real-time data processing. This paper introduces a low-cost UAV-based multi-sensor mapping payload which supports real-time processing and can be effectively used in rapid-response applications. The paper introduces the main components of the system, and provides an overview of the proposed payload architecture. Then, it introduces the implementation details of the major building blocks of the system. Finally, the paper presents our conclusions and the future work, in order to achieve real-time/near real-time data processing and product delivery capabilities.

Online Processing of End-User Data in Real-Time Data Warehousing

2015 ◽  
pp. 13-31
Author(s):  
M. Asif Naeem ◽  
Noreen Jamil
Keyword(s):  
Real Time ◽  
Cost Model ◽  
Main Memory ◽  
Stream Data ◽  
Time Data ◽  
Online Processing ◽  
Master Data ◽  
Real Time Data ◽  
User Data ◽  
Resource Aware

Stream-based join algorithms are a promising technology for modern real-time data warehouses. A particular category of stream-based joins is a semi-stream join where a single stream is joined with a disk based master data. The join operator typically works under limited main memory and this memory is generally not large enough to hold the whole disk-based master data. Recently, a seminal join algorithm called MESHJOIN (Mesh Join) has been proposed in the literature to process semi-stream data. MESHJOIN is a candidate for a resource-aware system setup. However, MESHJOIN is not very selective. In particular, MESHJOIN does not consider the characteristics of stream data and its performance is suboptimal for skewed stream data. This chapter presents a novel Cached-based Semi-Stream Join (CSSJ) using a cache module. The algorithm is more appropriate for skewed distributions, and we present results for Zipfian distributions of the type that appear in many applications. We conduct a rigorous experimental study to test our algorithm. Our experiments show that CSSJ outperforms MESHJOIN significantly. We also present the cost model for our CSSJ and validate it with experiments.

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