Improving total system leakage in water networks using swarm intelligence / Amira Farag Mohammed Gibril ; Supervised Abdelaziz Ahmed , Ahmed Farouk Alsadek , Hesham Hefny
Material type: TextLanguage: English Publication details: Cairo : Amira Farag Mohammed Gibril , 2020Description: 87 Leaves : charts , facsmilies ; 30cmOther title:- تحسين الفقد المائى الكلى لشبكات المياه باستخام ذكاء الحشود [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2020.Am.I (Browse shelf(Opens below)) | Not for loan | 01010110082094000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2020.Am.I (Browse shelf(Opens below)) | 82094.CD | Not for loan | 01020110082094000 |
Browsing المكتبة المركزبة الجديدة - جامعة القاهرة shelves Close shelf browser (Hides shelf browser)
No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | ||
Cai01.18.02.M.Sc.2019.Ya.E Enhancing detection of SQL injection attacks / | Cai01.18.02.M.Sc.2019.Ya.E Enhancing detection of SQL injection attacks / | Cai01.18.02.M.Sc.2020.Am.I Improving total system leakage in water networks using swarm intelligence / | Cai01.18.02.M.Sc.2020.Am.I Improving total system leakage in water networks using swarm intelligence / | Cai01.18.02.M.Sc.2020.Eh.E Enhanced clustering for textual case-based reasoning / | Cai01.18.02.M.Sc.2020.Eh.E Enhanced clustering for textual case-based reasoning / | Cai01.18.02.M.Sc.2020.He.M A machine learning technique for detecting water quality based on algal growth / |
Thesis (M.Sc.) - Cairo University - Faculty of Grduate Studies for Statistical Research - Department of Computer and Information Science
Pressurized irrigation systems (PIS) are complex infrastructural entities with a combination of pipes, pumps, reservoirs, tanks, etc. Each component is designed as a compromise between economic and technical considerations. PIS represents one of the most expensive entities in any infrastructure. Simulation of PIS within a looped pipe network is a complex task involving solving a system of non-linear equations. EPANET is a computer program (Rossman, 1993) that performs extended period simulation of hydraulic and water quality behavior within pressurized pipe networks. This thesis aims to propose a model based on PSO to improve total leakage in a (pressurized) sprinkler irrigation system. The proposed approach is to modify the pipe diameters used in the network using the optimization algorithm PSO to modify the network pipe diameters that meet the requirements of the network with the use of EPANET to calculate Head-Loss at each node as well as calculate the total leakage before and after optimization.The simulation experimental work solves a standard bench-mark problem of New York using this algorithm. The first simulation of the network is done using simulation software; EPANET from which integrate the head values obtained into MATLAB and the criteria for necessary head is checked. Further, the selection of different diameters is done using the PSO algorithm and their cost estimated.
Issued also as CD
There are no comments on this title.