Akazue I. Maureen

Work place: Department of computer science, Delta State University,P.M.B 1, Abraka, Nigeria



Research Interests: Computer systems and computational processes, Information Security, Information Systems


Dr. Maureen I. akazue is a Lecturer in the Department of Mathematics & Computer Science, Delta State University, Abraka, Delta State, Nigeria. She received Master of Information Science degree in 2001 from University of Ibadan, Oyo State, Nigeria, M.Sc.Computer Science in 2008 and PhD Computer Science in 2014, both from University of Benin, Edo State, Nigeria. Her research interests are HCI, Enhancing Customer’s satisfaction, Online fraud prevention, Security challenges and Computer Solutions, business information systems, and Trust computing

Author Articles
Fuzzy Based Enhanced Smart Rest Room Automated Faucet System

By Akazue I. Maureen Ajenaghughrure Ighoyota Ben.

DOI: https://doi.org/10.5815/ijem.2017.03.03, Pub. Date: 8 May 2017

Existing smart rest room automated faucet systems operate on traditional control theory, with absolute control value, irrespective of its degree of accuracy. For example, a hands-free hand wash basin may be programmed to release water when an object is about 2cm close to the infrared sensor. This absolute control value has pitfalls such as, ascertaining the quantity of water required for each operation, without activating the water flow switch to release water at maximum rate, leading to wastage of water resources. In order to develop an efficient and accurate smart rest room automated faucet system that will release water at an approximate quantity as required for varying condition, this research paper delves into employing a data-centric model for understanding and designing a smart rest room automated faucet system, that is more accurate in operation and properly utilizes water resources. To achieve this goal, we first designed a fuzzy model using MATLAB, for the proposed smart rest room automated faucet system, and then implemented the model on embedded atmel328 microcontroller, interfaced with an infrared obstacle sensor and an electronic flow control switch to automate rest room faucet activities. In order to understand and improve its operation, data logged from the system infrared sensor for 3cm distance, was mined for proper understanding of the system operational accuracy. During which the result indicated proper water utilization at various rate of water dispensation, as a function the nearness of the object to the sensor. This supports the improvement promised by the proposed system, when adopted in existing smart rest room automated faucet systems design and re-design.

[...] Read more.
Other Articles