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Sharma, Ashu
- Smart Airline Solutions are the Next Game Changer for Airline Industry
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1 Shree Cement Limited, Beawar, Rajasthan, IN
2 NMIMS, Mumbai, Maharashtra, IN
1 Shree Cement Limited, Beawar, Rajasthan, IN
2 NMIMS, Mumbai, Maharashtra, IN
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Journal of Hospitality Application and Research, Vol 15, No 1 (2020), Pagination: 37-56Abstract
This paper analyses the impact of smart automation tools like information technology (IT), Artificial Intelligence (AI), Robotics, etc. applications in the airline industry. To address this purpose, a review of IT innovation in the airline industry, on service patterns and service quality is done. The paper explores the next big wave in automation and travel technology overall and will focus on “the process” as well as “the people”. This paper attempts how information technology, AI and Robotics can enhance and improve the travel experience from booking to destination. Technology will deliver airline customers an engaging, more “humanized” interaction. This could mean personalized travel itineraries pushed to your cell phone or digital “identities” to speed security clearance or personal GPS to ease the navigation of airports and destinations. Ironically, technologies will ultimately induce a more “human” experience in travel even for making smooth payment. The paper attempts on airline focusing more on technology as an important component and investment in their future (best illustrations are SABRE-Semi Automated Business Research Environment, CUTE-Common User Terminal Equipment, ILS). Inefficiencies in outdated technology have hindered airlines from quickly and easily making business changes. The ATC continues to rely on RADAR and analog radio in a satellite and digital world unless improvements are made on these strained systems, continued growth in air travel-both commercial and private-will result in increased delay, loss of revenues, and overall hampering the growth in the air travel. New generation technology systems are being put in place today. One of the recent developments is for “Using an emerging global network, ATN (Aeronautical Telecommunication Network)”. Information Technology will demonstrate innovations in more In-flight services and entertainment including access to the internet and phone.Keywords
IT, Airline, SABRE, Travel, RADAR, ILS.
- Biometric Face Recognition: Application of Neural Networks and Fuzzy Control in Hospitality Industry
Abstract Views :109 |
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Authors
Affiliations
1 B.Tech, Vellore Institute of Technology, Vellore, Tamil Nadu, IN
2 Associate Professor, School of Business Management, NMIMS University, Mumbai, Maharashtra, IN
3 B Tech, Vellore Institute of Technology, Vellore, Tamil Nadu, IN
1 B.Tech, Vellore Institute of Technology, Vellore, Tamil Nadu, IN
2 Associate Professor, School of Business Management, NMIMS University, Mumbai, Maharashtra, IN
3 B Tech, Vellore Institute of Technology, Vellore, Tamil Nadu, IN
Source
Journal of Hospitality Application and Research, Vol 16, No 2 (2021), Pagination: 01-16Abstract
The pattern detection device for biometric identification, which is discussed in the following paper, made use of mathematical modelling and descriptive statistics together with exploratory factor analysis i.e., Principal Component Analysis on the point of a function extraction technique. The proposed prestige gadget consisted of androgenic hair for the identification of biometric features with four hundred photographs for each database. A total of four-hundred pictures were gathered from each database. It was taken from a total of 25 respondents and sixteen snapshots from each respondent from hospitality industry. Performed with the highest accuracy, the system utilized a histogram equation with 2-fold cross-recognition, seventy-six. 68% of the average precision for the facial database and 19% mean accuracy for the androgenic hair database. Both means of accuracy are achieved using the 90 maximum large eigenvalues and their complementary eigenvectors within the principal component analysis attribute extraction technique.Keywords
Neural Network, Fuzzy Control, Principal Component Analysis, Factor Analysis, Artificial Intelligence, Biometric, Hospitality IndustryReferences
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