The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Design and Implementation of Students’ Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach
Abstract
This paper identifies the causes associated with delays in processing and releasing results in tertiary institutions. An enhanced computer program for result computation integrated with a database for storage of processed results simplifies a university grading system and overcomes the short-comings of existing packages. The system takes interdepartmental collaboration and alliances into consideration, over a network that speeds up collection of processed results from designated departments through an improved centralized database system. An empirical evaluation of the system shows that it expedites processing of results and transcripts at various levels and management of and access to student results on-line. The technological approach for the implementation of the proposed system is based on open source solutions. Apache is used as Web server extended with PHP for server side processing. In recognition of the confidentiality of data contained in the system, communication networks are protected with open-ssl library for data encryption and role-based authentication. This system increases efficient service delivery and benefits both administration and students.
Related Content
|
Mukul Bhatnagar, Nitin Pathak.
© 2024.
16 pages.
|
|
Mitushi Singh, Mukul Bhatnagar.
© 2024.
32 pages.
|
|
Vikas Sharma, Sanjay Taneja, Kshitiz Jangir, Kirti Khanna.
© 2024.
15 pages.
|
|
Preet Kanwal.
© 2024.
17 pages.
|
|
Kapil Sharma, Yogesh Kumar, Rajiv Khosla, Sanjay Taneja.
© 2024.
16 pages.
|
|
Sanjeev Kumar, Mohammad Badruddoza Talukder, Firoj Kabir, Fahmida Kaiser.
© 2024.
15 pages.
|
|
K. K. Kishore Mishra, Swati Priya, Syed Sajid Hussain, Swati Gupta.
© 2024.
17 pages.
|
|
|