A Framework For A Blood Seeker - Donor Matching System
Journal Title: Computer Reviews Journal - Year 2019, Vol 4, Issue 0
Abstract
The work designed, implemented and evaluated the blood seeker-donor (BSD) matching system. The system comprises of a backend server and a mobile application that serves as the main interaction interface between the users and the system. This is with the view to providing a computerized system that enables blood seekers and blood donation centers in the Nigerian geographic space to find and communicate with prospective blood donors, in a fast and efficient manner. The system connects the users using the blood type compatibility, relative location between the users, and other blood donation related attributes specified by the users. The backend service of the system was implemented using the Firebase platform. The mobile application was implemented using Java programming language on the Android platform. The results of the evaluation showed that; on a scale of 1 – 10, the system has a mean score of 7.02 for its effectiveness. The mean score for ease-of-use is 7.17 and the score for learnability is 7.39. The work concluded that geo-location technologies, through the use of mobile applications, can provide an easier, faster and efficient means of finding and communicating with prospective blood donors.
Authors and Affiliations
Segun Aina, Rasheed Sulayman, Samuel Okegbile, Ronke Lawal, Adeniran Oluwaranti
Keywords
Related Articles
- EP ID EP655236
- DOI -
- Views 136
- Downloads 0
Possibility to Realize an Accelerated Turing Machine
On the basis of a theorem, in which an evanescent photon is a superluminal particle, the author considers the possibility of realizing a high performance computer system compared with conventional silicon processors. To...
Experimental Evaluation Platform for Voice Transmission Over Internet of Things (VoIoTs)
Internet of Things (IoTs) is an example of the last advances in Information and Communication Technologies. In particular, with the revolutionary development of Wireless Sensor Network (WSN) technologies, researchers lar...
Robust RLS Wiener Fixed-Lag Smoother for Discrete-Time Stochastic Systems with Uncertain Parameters
This paper, by combining the robust recursive least-squares (RLS) Wiener filter and the RLS Wiener fixed-lag smoothing algorithm, proposes the robust RLS Wiener fixed-lag smoothing algorithm. In the robust estimation pro...
Radial Basis Function Neural Networks : A Review
Radial Basis Function neural networks (RBFNNs) represent an attractive alternative to other neural network models. One reason is that they form a unifying link between function approximation, regularization, noisy interp...
The MOUSE approach: Mapping Ontologies using UML for System Engineers
To address the problem of semantic heterogeneity, there has been a large body of research directed toward the study of semantic mapping technologies. Although various semantic mapping technologies have been investigated,...