dc.contributor.author |
Mehta, Dhaval |
|
dc.contributor.author |
Ranadive, Amol |
|
dc.date.accessioned |
2021-10-04T05:30:51Z |
|
dc.date.available |
2021-10-04T05:30:51Z |
|
dc.date.issued |
219-07 |
|
dc.identifier.issn |
2321-9653 |
|
dc.identifier.uri |
http://27.109.7.66:8080/xmlui/handle/123456789/716 |
|
dc.description |
International Journal for Research in Applied Science & Engineering Technology (IJRASET)
ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.177
Volume 7 Issue VII, July 2019, p. 553-556 |
en_US |
dc.description.abstract |
Abstract: Cable TV forms the backbone of the broadcasting distribution industry in India. Because of large number of TV
Channels and due to problems of then analogue system, Govt. of India introduced the concept of Digitization and later on,
Telecom Regulatory Authority of India(TRAI) advocated the Pay Per Channel concept in the favour of Consumers and made it
compulsory for D2H service provider for implementation. But later to the implementation of the concept, it became an extremely
cumbersome process for consumers to select TV Channels and packages that suit their own or family needs and again fit into
their budget at the same time. This Paper introduces a new methodology for generating TV Channels/packages using Genetic
Algorithm and Fuzzy Logic (Popular Branches of Artificial Intelligence). |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
TV Channels |
en_US |
dc.subject |
TV Packages |
en_US |
dc.subject |
DTH |
en_US |
dc.subject |
Telecom Regulatory Authority of India(TRAI |
en_US |
dc.subject |
Fuzzy Logic |
en_US |
dc.subject |
Membership functions |
en_US |
dc.subject |
Genetic Algorithm |
en_US |
dc.subject |
Artificial Intelligence |
en_US |
dc.title |
A method for TV channel package generation using artificial intelligence |
en_US |
dc.type |
Article |
en_US |