To Study the Factors That Impact In-Game Purchases in Mobile Gaming Industry: A West Bengal Perspective

2020 ◽  
Author(s):  
Abhishek Duttagupta ◽  
Moumita Poddar
Author(s):  
Darshan BabuL.Arasu ◽  
Syafiza AnisBasharuddin ◽  
Nur ZulailaZulShukor ◽  
Wan Mohd Nazmee Wan Zainon

Nowadays, there is new technology such as augmented reality and virtual reality that starting to get attention from many parties especially in mobile gaming industry. This technology brings elements of the virtual world into the real world by enhancing what users see, hear and feel. All these elements are augmented by computer generated sensory input such as, sound, video, graphics or GPS data. Augmented and virtual reality also supported in many fields for example, education, design, reconnaissance, maintenance and etc. This paper review the field of Augmented Reality, including a brief definition, the problems, the inventing technologies and their characteristics. Besides, it will also discuss some recent application of as well as the limitations in the use of thesetechnology


2012 ◽  
Vol 36 (3) ◽  
pp. 212-221 ◽  
Author(s):  
Claudio Feijoo ◽  
José-Luis Gómez-Barroso ◽  
Juan-Miguel Aguado ◽  
Sergio Ramos

Pressacademia ◽  
2016 ◽  
Vol 3 (4) ◽  
pp. 368-368
Author(s):  
Boubacar Gamatche Abdoul Aziz ◽  
Shen Lei

Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
M Gangopadhyay ◽  
R Bhattacharya ◽  
D Chakraborty ◽  
S Bhattacharya ◽  
A Mitra ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.


1949 ◽  
Vol 18 (15) ◽  
pp. 178-179
Author(s):  
Richard L. Park
Keyword(s):  

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