Proposal of Chat Based Automated System for Online Shopping
Hemin Joshi,
Vidhi Agarwal,
Amol Ghodke,
Dolly Gupta,
Sharmila Gaikwad
Issue:
Volume 3, Issue 1, February 2017
Pages:
1-4
Received:
26 October 2016
Accepted:
25 January 2017
Published:
1 March 2017
Abstract: Chatbots have the potential to save any individual’s time, hassle, and tedium by automating mundane tasks. The idea about this application is that it will help the user to interact with the Ecommerce engine through an Intelligent Assistant. The application offers the exhilarating experience of placing orders on the Ecommerce site according to his/her needs and viewing the previously placed orders anytime the user wants. CartBot will turn into a customized personal assistant that knows your online likes and preferences and serves as a magical tool to deliver the products on time and in the most convenient manner. An account has to be linked to the device, thus allowing you to back up your history in case of device malfunction or any other unfortunate activity. This paper is based on the research work that has been done for the project.
Abstract: Chatbots have the potential to save any individual’s time, hassle, and tedium by automating mundane tasks. The idea about this application is that it will help the user to interact with the Ecommerce engine through an Intelligent Assistant. The application offers the exhilarating experience of placing orders on the Ecommerce site according to his/h...
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Performance Analysis of Cellular Radio System Using Artificial Neural Networks
Kriti Priya Gupta,
Madhu Jain
Issue:
Volume 3, Issue 1, February 2017
Pages:
5-13
Received:
26 December 2016
Accepted:
6 January 2017
Published:
17 March 2017
Abstract: In this paper, we exploit one of the fastest growing techniques of Soft Computing, i.e. Artificial Neural Networks (ANNs) for obtaining various performance measures of a cellular radio system. A prioritized channel scheme with subrating is considered in which a fixed number of channels are reserved for handoff calls and in case of heavy traffic, these reserved channels are subrated into two channels of equal frequency to deal with more handoff calls. Two models dealing with infinite and finite number of subscribers are considered and the blocking probabilities of new and handoff calls are computed analytically as well as by using ANNs. A feedforward two-layer ANN is considered for obtaining the blocking probabilities. The backpropagation algorithm is used for training the ANN. The analytical and ANN results are compared by taking the numerical illustrations.
Abstract: In this paper, we exploit one of the fastest growing techniques of Soft Computing, i.e. Artificial Neural Networks (ANNs) for obtaining various performance measures of a cellular radio system. A prioritized channel scheme with subrating is considered in which a fixed number of channels are reserved for handoff calls and in case of heavy traffic, th...
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