Design for energy-efficient and reliable fog-assisted healthcare IoT systems

Cardiovascular disease and diabetes are two of the most dangerous diseases as they are the leading causes of death in all ages. Unfortunately, they cannot be completely cured with the current knowledge and existing technologies. However, they can be effectively managed by applying methods of continuous health monitoring. Nonetheless, it is difficult to achieve a high quality of healthcare with the current health monitoring systems which often have several limitations such as non-mobility support, energy inefficiency, and an insufficiency of advanced services. Therefore, this thesis presents a Fog computing approach focusing on four main tracks, and proposes it as a solution to the existing limitations. In the first track, the main goal is to introduce Fog computing and Fog services into remote health monitoring systems in order to enhance the quality of healthcare. In the second track, a Fog approach providing mobility support in a real-time health monitoring IoT system is proposed. The handover mechanism run by Fog-assisted smart gateways helps to maintain the connection between sensor nodes and the gateways with a minimized latency. Results show that the handover latency of the proposed Fog approach is 10%-50% less than other state-of-the-art mobility support approaches. In the third track, the designs of four energy-efficient health monitoring IoT systems are discussed and developed. Each energy-efficient system and its sensor nodes are designed to serve a specific purpose such as glucose monitoring, ECG monitoring, or fall detection; with the exception of the fourth system which is an advanced and combined system for simultaneously monitoring many diseases such as diabetes and cardiovascular disease. Results show that these sensor nodes can continuously work, depending on the application, up to 70-155 hours when using a 1000 mAh lithium battery. The fourth track mentioned above, provides a Fog-assisted remote health monitoring IoT system for diabetic patients with cardiovascular disease. Via several proposed algorithms such as QT interval extraction, activity status categorization, and fall detection algorithms, the system can process data and detect abnormalities in real-time. Results show that the proposed system using Fog services is a promising approach for improving the treatment of diabetic patients with cardiovascular disease

Implementation of a Smart Fridge by Using RFID and Web technology

The purpose of the project was to build a smart system which could be applied in daily life to improve the quality of life. A smart fridge helps users save time in buying necessary products by providing information about food inside the fridge. Furthermore, the smart fridge helps users take care of their health by warning about expired or opened products. The project was built based on HTML, PHP, JavaScript, MySQL, a Sirit Infinity 510 RFID reader, antennas and a fridge. HTML and PHP are programming languages for building the interface of the project. JavaScript, which is a programming language used in the client-side, was used to make the website become more fascinating. MySQL is a relational database management system for processing data. The RFID reader and antennas played important roles in the project. The set of RFID equipment had responsibility for reading and checking product data. The fridge was just a familiar fridge used at home. Users could add their favourite food and dishes to the system which stored the information and updated the shopping list, so users ensured that they always had the wanted products in the fridge. Moreover, the system had some special features in protecting users’ health. The system listed all the expired products in the fridge and informed or warned about some opened products. Users would know the exact time when the product was opened and how long the product could be used after being opened. The main objective of the application was to prove that the RFID technology could be applied in daily life and was to provide a convenient, easy-to-use and smart system which could help people in improving the quality of life. The result offers users a high-tech and multi-functional system enhancing the quality of life. Moreover, the project shows that the RFID technology is possible to be applied at home

ADDING TIME AND LEVELS OF DETAIL IN THE BUILDINGS MODEL

ABSTRACTThe paper describes two improvements in the available three-dimensional (3D) data model-Urban Data Model (UDM) with surface and body objects. The advantages of these improvements reduce size of data storage; reduce the time cost of data show and visualizing data more realistic than the original model. The paper also added to the model time class to manage historical of changes on the spatial properties of  1D, 2D and 3D object. The levels of detail added to show buildings at four levels from simple to complex. Event class in the model should record the reasons to create changes on the buildings in their evolution.Keywords.  3D, data model, spatio-temporal model