Mohammed I. Aal-Nouman

Bio: Mohammed I. Aal-Nouman is an academic researcher from Nahrain University. The author has contributed to research in topics: Location-based service & The Internet. The author has an hindex of 5, co-authored 16 publications receiving 36 citations. Previous affiliations of Mohammed I. Aal-Nouman include University of Salford.

Cloud-based COVID-19 Patient Monitoring using Arduino

Abstract: IoT is considered as one of the fastest growing technology in the medical and industrial fields, and one of its use is the transmission of the Medical information of the patients to the general practice (GP) or hospitals. And because of the last situation of the COVID-19, and the increasing number of the infected people, the researchers started to focus on how to transmit and monitor the patients’ information remotely in order to decrease the chance of infection. This paper introduces an affordable IoT-based application aiming to decreases the chance of COVID-19 infection transmission. The proposed device can help the patients by checking their health status, while doctors remotely monitor this information. This paper presents a measuring and recording device for heart rate, oxygen saturation levels, and body temperature. An Arduino device with sensors will be used to measure these records and send them to the cloud server. The results show that the information has been sent successfully to the cloud.

A new architecture for location-based services core network to preserve user privacy

Abstract: A location-based service (LBS) is a software level service that are offered through mobile device based on users' location, that means the user location is known to the service and data provider who may be an external third-party location service (LCS) client. To achieve a good quality of service and good system performance, the system needs to preserve the user's privacy with a quick response and accurate results. Recently, there have been many researches about how to protect and preserve user's privacy with quick response. Those researches can be summarised into two main methods: spatial and temporal cloaking, and transformation of the user's location. In this paper, a new architecture is proposed by attaching a database to the existing gateway mobile location centre (GMLC) in the mobile core network to protect the user privacy and reduce the response time. The results show that the new architecture protects user privacy well and reduces the response time.

Cloud-Based Vehicle Tracking System

Abstract: The need for vehicle tracking system in real time is growth continues due to increase the cases of theft. This type of system in real time needs to transmit large data with huge number of HTTP request to the server to keep tracking and monitoring in real time, thus causes spend extremely high cost every month for transportation the information on tracking vehicles to server therefor the needs for reducing the number of transportation and data size that transmits in each HTTP request to save expenses. This paper designed and implement an integrated vehicle tracking system in real time to track vehicle anywhere and anytime. This system is divided into two parts: vehicle tracking part and monitoring part. Tracking part is represented by installation the electronic devices in the vehicle using modern Global Positioning System (GPS), microcontroller Arduino UNO R3 and SIM800L GSM/GPRS modem. GPS is determined location of the vehicle via received coordinates from satellites such as latitude and latitude with accuracy ranging approximately 2.5 meters; the coordinates faked to add a type of protection to information on vehicles without effecting on characterizing real time tracking before sending it via a General Packet Radio service (GPRS). The monitoring part is in the cloud and will receive the coordinates and displays it on a map in a web page. The main contribution of this system is it reduced data size that sent from in-vehicle device via selected only necessary data for tracking vehicle from NEMA sentences of GPS and reduced number of HTTP request that sent to remote server via constrain the transmission of information with the movement of vehicles, since when vehicle moved the coordinates each 10s and did not send anything when the vehicle stopped thus will reduce the cost of expenses every month. This system can be utilized to track and monitoring the vehicles of large universities, companies, organization and also can be used in army vehicles and police vehicles.

A study on the value of location privacy

Abstract: This paper introduces results of a study into the value of location privacy for individuals using mobile devices. We questioned a sample of over 1200 people from five EU countries, and used tools from experimental psychology and economics to extract from them the value they attach to their location data. We compare this value across national groups, gender and technical awareness, but also the perceived difference between academic use and commercial exploitation. We provide some analysis of the self-selection bias of such a study, and look further at the valuation of location data over time using data from another experiment. © 2006 ACM.

Lte And The Evolution To 4g Wireless Design And Measurement Challenges

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6G Wireless Communications Networks: A Comprehensive Survey

Abstract: The commercial fifth-generation (5G) wireless communications networks have already been deployed with the aim of providing high data rates. However, the rapid growth in the number of smart devices and the emergence of the Internet of Everything (IoE) applications, which require an ultra-reliable and low-latency communication, will result in a substantial burden on the 5G wireless networks. As such, the data rate that could be supplied by 5G networks will unlikely sustain the enormous ongoing data traffic explosion. This has motivated research into continuing to advance the existing wireless networks toward the future generation of cellular systems, known as sixth generation (6G). Therefore, it is essential to provide a prospective vision of the 6G and the key enabling technologies for realizing future networks. To this end, this paper presents a comprehensive review/survey of the future evolution of 6G networks. Specifically, the objective of the paper is to provide a comprehensive review/survey about the key enabling technologies for 6G networks, which include a discussion about the main operation principles of each technology, envisioned potential applications, current state-of-the-art research, and the related technical challenges. Overall, this paper provides useful information for industries and academic researchers and discusses the potentials for opening up new research directions.

Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases

Abstract: Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs) can save lives by categorising them on the basis of disease severity and determining priority patients. Such hybridisation is challenging and thus has not been reported in the literature on telemedicine. This paper presents an intelligent classification and prioritisation framework for patients with CHDs who engage in telemedicine. The emergency status of 500 patients with CHDs was evaluated on the basis of multiple heterogeneous clinical parameters, such as electrocardiogram, oxygen saturation, blood pressure and non-sensory measurements (i.e. text frame), by using wearable sensors. In the first stage, the patients were classified according to Dempster–Shafer theory and separated into five categories, namely, at high risk, requires urgent care, sick, in a cold state and normal. In the second stage, hybridised multi-criteria decision-making models, namely, multi-layer analytic hierarchy process (MLAHP) and technique for order performance by similarity to ideal solution (TOPSIS), were used to prioritise patients according to their emergency status. Then, the priority patients were queued in each emergency category according to the results of the first stage. Results demonstrated that Dempster–Shafer theory and the hybridised MLAHP and TOPSIS model are suitable for classifying and prioritising patients with CHDs. Moreover, the groups’ scores in each category showed remarkable differences, indicating that the framework results were identical. The proposed framework has an advantage over other benchmark classification frameworks by 33.33% and 50%, and an advantage over earlier benchmark prioritisation by 50%. This framework should be considered in future studies on telemedicine architecture to improve healthcare management.