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Dive into the research topics where Kirbana Jai Raman is active.

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Featured researches published by Kirbana Jai Raman.


Archive | 2016

A Framework on Cloud Based Connected Car Services

Sumendra Yogarayan; Afizan Azman; Kirbana Jai Raman; Hesham Ali Alsayed Elbendary; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim

The connected car is a loaded term describing all the technological advances happening inside automobiles with assistance of cloud technology to transfer information. The best known connected-car technology is satellite navigation, which uses the global-positioning system (GPS) simultaneously with a database of roads to provide directions and find points of interest. Following globalized technology era, many consumers are now adding internet connectivity to their cars in portable device which acts as the “smart” phone. Besides that, a two-way internet link allows for more detailed forms of navigation, and also makes it possible to gather and accumulate information from small to large numbers of vehicles. Smartphone’s is continuously changing how consumers interact with the world around them. Connected car with cloud technology can broaden this interactive dynamic to drivers on the road. In this paper, we proposed to deliver in-car experience for drivers or passengers using cloud technology.


international conference on information science and applications | 2018

Real Time Driver Anger Detection

Afizan Azman; Kirbana Jai Raman; Imran Artwel Junior Mhlanga; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; Siti Fatimah Abdul Razak; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu

The field of artificial intelligence has seen an increasing number of researches being done related to facial expression recognition. Different methods have been proposed with some of them yielding good results and some performing poorly. Apart from that, anger plays a pivotal role in road accidents since road rage is stated to be one of the contributing factors to road accidents. In order to cater road rage and considering it being harmful to drivers and passengers, this paper proposes a real time driver anger detection. The project classifies human facial expressions, mainly anger expression in real time from a live video in order to warn the driver and eventually road accidents can be reduced.


international conference on information science and applications | 2018

A Study of Wireless Communication Technologies for Vehicular Communication

Afizan Azman; Sumendra Yogarayan; Samuel Leong Wei Jian; Siti Fatimah Abdul Razak; Kirbana Jai Raman; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu

In recent years, vehicle communication is an advanced technology that has attain attention in both industries and academician all over the world. The initiation on vehicular communication is to improve road safety, efficiency and comfort. This paper studies the availability of the wireless communication technologies for vehicular communication and the possible implementation of the suitable wireless communication for vehicle communication in the context of Malaysia.


Archive | 2016

Driver Fatigue Detection

Muhamad Hafiz Abdullah; Kirbana Jai Raman; Afizan Azman; Sumendra Yogarayan; Hesham Ali Alsayed Elbendary; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim

Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue. Besides, the system also produces warning output in a form of sound once fatigue is detected.


Archive | 2015

Real Time Customer Satisfaction Index

Afizan Azman; Luwe Cheng Wong; Mohd Fikri Azli; Siti Zainab; Kirbana Jai Raman; Sumendra Yogarayan

A Real Time and Automatic Customer Satisfaction Index is an application-based facial expression recognition system which is used to capture a person facial expression. The main idea of this system is to capture customer’s facial expressions while using a product or services and act as an assessment tool to evaluate customer satisfaction with subjective evaluation (questionnaire) to understand customer’s facial expressions. Hence, the system will enable product or services seller to get customer feedback immediately and it can help product or services seller to save time because the ordinary way to get customer feedback about a product or services is by doing a survey or interview.


International Journal of Human and Technology Interaction (IJHaTI) | 2018

A Comparability Study on Driver Fatigue Using C#, C++ and Python

Kirbana Jai Raman; Afizan Azman; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; S.F. Abdul Razak; A.H. Muhamad Amin; K. Sonai Muthu


International Journal of Human and Technology Interaction (IJHaTI) | 2018

Real-Time Connected Car Services

Sumendra Yogarayan; Afizan Azman; S.F. Abdul Razak; Kirbana Jai Raman; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim; A.H. Muhamad Amin; K. Sonai Muthu


Indian journal of science and technology | 2018

Fatigue Alert System

Kirbana Jai Raman; Afizan Azman; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; Siti Fatimah Abdul Razak; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu


Indian journal of science and technology | 2018

Cloud Based Android App Data Transmission (Leverage Connectivity)

Sumendra Yogarayan; Afizan Azman; Tan Geok Huei; Kirbana Jai Raman; Siti Fatimah Abdul Razak; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu


Indian journal of science and technology | 2018

Driver Face Recognition: Anti-Theft System

Kirbana Jai Raman; Afizan Azman; Wong Kit Wen; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; Siti Fatimah Abdul Razak; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu

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