IIUM Repository (IREP)

Bio-engineered solution in enhancement of septic sludge with artificial immune system

Ting, Sie Chun and Ismail , Amelia Ritahani and Abdul Malik, Marlinda (2012) Bio-engineered solution in enhancement of septic sludge with artificial immune system. In: International Conference on Water Resources (ICWR 2012), 5-9 November 2012, BayView Hotel, Langkawi, Kedah. (In Press)

[img] PDF (Bio-engineered solution in enhancement of septic sludge with artificial immune system) - Accepted Version
Restricted to Repository staff only

Download (310kB) | Request a copy
[img]
Preview
PDF (Acceptance Letter for Conference (ICWR))
Download (360kB) | Preview

Abstract

In Sarawak, most of the residential properties are connected to septic tank where only toilet wastes are accepted. Overtime, solid retention in the septic tank will be accumulated and result in discharging into the drain hence, polluting our waterways. Therefore, regular desludging is required. The raw sludge will be treated in the Septic Sludge Treatment Plant (SSTP) before the wastewater is being discharged into the waterway. In this paper, the SSTP model will be outlined using Artificial Immune System (AIS) technique called Clonal Selection Algorithm (CSA). AIS is defined as a computational paradigm that is inspired by human immune system. The immune system has the ability to build repertoires of cells and molecules to resist invading disease-causing elements. Therefore, in the engineering perspective, utilizing the ideas of immune systems will be useful as an engineering tool. In this study, CSA inspired by the Clonal Selection theory of immune systems that explains how B and T lymphocytes (cells) improve their response to antigens over time will be used to identify the behaviour of the SSTP. Moreover, the CSA describes that the cells will recognise the antigen proliferation which will be selected against those do not. The effluents namely Chemical Oxygen Demand (COD) and Total Suspended Solids (TSS) are analysed to identify the performance of the SSTP. As such, this approach will allow better forecasting on the function of SSTP and in turn, prevents infringement of future environmental balance.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4296/28365
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Amelia Ritahani Ismail
Date Deposited: 21 Jan 2013 09:09
Last Modified: 13 Feb 2013 23:24
URI: http://irep.iium.edu.my/id/eprint/28365

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year