Despite the rabid increase of using mobile applications nowadays, there is a lack of mobile applications that concerned about the helping the patient. We aim in this project to provide a mobile application with services related to the help the patient for the trouble of waiting in line, such as booking appointment in advance and reaching to the doctor. Furthermore, we aim to provide a better user experience.
12/11/2019
In last few years, the number of internet users is becoming more than the number of human in the planet themselves. The most parts of surfers are intelligent devices used in daily life or in industry. Connecting smart devices to internet have provided a huge amount of collected data which make analyzing, storing and managing it as a difficult task. On the other hand, cloud computing provides a great potential to manage and store data. Consequently, many researchers propose to benefit from cloud computing to manage data collected by things. However, the use of cloud computing with things is face to many challenges like: minimizing the use of energy, providing the best quality of service, using data effectively and avoiding useless data.
02/11/2019
Patient Assistance system is an electronic device contracting of a Two-way radio or video transmitter with a phone application. Patient Assistance helps the patient by monitor and organize his treatment and reassure millions of families that their patient is safe. Many patient care devices are available; however, we find that many of them do not fulfil the required requirements. The aim of this project is to produce a patient monitor which provides high-quality features. The idea is to design a system that will simplify the process of monitoring the patient. The most important of which is to give patients their medication on time. The proposed device has many features such as: Alarm when the medication is delayed, Allows the doctor to contact the patient. Image recognition to determine if the patient is asleep or awake. The device will connect to the hardware Controller Application. The application allows the monitor to insert a new medication, list in Application do patient eat medicine or not. The monitor of the patient can terminate the medication in the application, allows the doctor to communicate on the patient, allows the observer to connect to the patient, allows the doctor and the observer to communicate with each other and Relieves the patient loneliness by contacting their family by displaying HD live video.
01/09/2019
In these days, smartphones are being widely used, people use them to store sensitive and private information. The password authentication is the most used authentication method, however, the password can be disclosure through shoulder surfing attack, since the users write their password in public places and they tend to make the password easy to remember which increase the vulnerability to attacks. Many authentications schemes were proposed to prevent shoulder surfing attack, but they still vulnerable to shoulder surfing attack or have accuracy problems or lack in usability. In this project, we proposed a gaze-text based PIN entry method, which will utilize the user's eye to enter the password. The main idea is, a user authenticates by following numbers that move along fixed paths on the screen, these will increase the security against shoulder surfing attack as well as usability and accuracy.
15/08/2019
Image classification is fundamental to many computer vision applications. The image feature set plays an important role in image classification. In this thesis, the objective is to investigate auto-correlograms for image classification problems. In a given image, the features are extracted and they are trained by the classifier. The feature calculation is based on the auto-correlograms approach. This work investigates the auto-correlograms approach for many classification scenarios. The auto-correlogram of the image captures the spatial correlation between similar colors in the corresponding image. Thus, the spatial nature of the auto-correlogram has a huge potential for image recognition and classification. Previously, this area was not thoroughly explored but it is believed that the nature of the auto-correlogram feature set can contribute to image classification. From Experimental results, we noted that the auto-correlogram has much better performance compared to the edge based feature set, for example the Gabor filters. However, we noted that the auto- correlogram has less performance compared to the color features, for example the color layout features. The experimental work in this thesis contributes to many fields in computer vision.
01/06/2019
Recently, using technology in hospitals’ internal businesses facilitates their services and raises their accuracy levels. This project builds a food recommendation system for Hospital Dietary Service Department using machine learning. The system determines the appropriate diet for each patient based on the patient’s medical condition, then recommends suitable food for him. The system is analyzed using stakeholders’ interviews and existing systems observations. More- over, the system is subsequently designed using several designing tools, including DFDs, ERD, and Relational Schema. Additionally, the system is a web-based one that is implemented using various technologies, e.g. C language and ASP .NET MVC. Finally, the system is tested and evaluated with considerations on its units, components, and then the entire system functions integration.
15/11/2003