BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare

2017 ◽  
Vol 5 (4) ◽  
pp. 628-641 ◽  
Author(s):  
Abdur Rahim Mohammad Forkan ◽  
Ibrahim Khalil ◽  
Ayman Ibaida ◽  
Zahir Tari
2018 ◽  
Vol 7 (2.19) ◽  
pp. 52
Author(s):  
J Vivek ◽  
Gandla Maharnisha ◽  
Gandla Roopesh Kumar ◽  
Ch Karun Sagar ◽  
R Arunraj

In  this  paper,  context  awareness  is  a  promising  technology  that  provides  health care services and a niche  area of big data paradigm. The   drift  in  Knowledge  Discovery  from  Data  refers  to  a  set  of  activities  designed  to refine and  extract  new knowledge from complex  datasets.  The   proposed  model  facilitates  a  parallel  mining  of  frequent item sets for Ambient Assisted Living (AAL) System [a.k.a. Health  Care [System]  of  big  data that  reside   inside  a  cloud  environment.  We  extend  a  knowledge  discovery framework for  processing  and  classifying  the  abnormal  conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate(HR) and storing  this data  sets  called  Big data  into Cloud to access from  anywhere   when  needed.   This   accessed data is used to compare the new data with it, which helps to know the patients health condition.  


2021 ◽  
Author(s):  
Peiyi Li ◽  
Peilin Li ◽  
John Morris ◽  
Yu Sun

Recent years, video games have become one of the main forms of entertainment for people of all ages, in which millions of members publicly show their screenshots while playing games or share their experience of playing games [4]. Puzzle game is a popular game genre among various video games, it challenges players to find the correct solution by providing them with different logic/conceptual problems. However, designing a good puzzle game is not an easy task [5]. This paper designs a puzzle game for players of all age ranges with proper difficulty level, various puzzle mechanics and attractive background setting stories. We applied our games to different players to test play and conducted a qualitative evaluation of the approach. The results show that the pace of puzzle games affects play experience a lot and the difficulty level of the puzzles affects players' feelings to the game.


Author(s):  
Zhiqiang Zhang ◽  
Zhengyin Hu ◽  
Ning Yang ◽  
Yi Wen ◽  
Xiaochu Qin ◽  
...  

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