The International Arab Journal of Information Technology (IAJIT)


Smelling the Web Olfactory Display for Web

 Internet technology has gone a very far in term of  advances and improvements, flash players, video com ponents and  other  multimedia  support  are  incorporated  into  the  recent  web  pages.  Also,  services  provided  such  as:  Clouding,  storage  system,  online  banking  and  e-commerce  are  very  comm on  and  used  on  daily  basis,  still  there  are  many  missing  components  regarding  more  human  interaction  with  the  web  page,   rather  than  just  seeing  and  clicking.  In  this  paper,  we  implemented  a  system that’s capable of identifying mouse location  onto a web page and capturing that component (most ly images) extracting  its  meta-data  and  Exchangeable  Image  File  Format  (E XIF)  information,  this  information  is  processed  further  by  a  basic  natural  language processing  subsystem  providing  it  with  text  parsing  results  after  tokenizing  the  string,  this  is  to  come with  a  single conclusion : What dose this image represents. The result is nor mally a single descriptive word corresponds to that  image  sent  to  a  micro-controller  to  be  analyzed  through  a   table  with  corresponding  values  essentially  a  set of  pulses  and  signals  data,  to  display  it  as  a  smell  corresponds  to  the  i tem  under  the  mouse  by  applying  the  pulses  to  the  a tomizer  to  give  the  user  the  smell  of  that  object.  We  found  that  the  system  has  high  successful  identification  ratio  over  websites  with  fairly  accurate  image identification ratio.     

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[12] Yokoyama S., Tanikawak T., Horota K., and Hirose M., Development of Wearable Olfactory Display, in Proceedings of the Virtual Reality Society of Japan 8 th Annual Conference , Japan, pp. 69-72, 2003. Saad Abid received his BSc degree in computer science at AL-Mansour University College 2001 and Masters degree in computer Sciences, Iraqi committee for computer and informatics in 2004. He continued working in academic teaching in AL-Mansour University College for 11 years, through that time all of his research was se lf- funded and concentrated in automation and control, he has been promoted from assistant Lecturer to Lectur er in 2011. He is now a PhD degree student at Hunan University in PR China. Zhiyong Li received the MSc degree in System Engineering from National University of Defense Technology, Changsha, China, in 1996 and PhD degree in Control Theory and Control Engineering from Hunan University, Changsha, China, in 2004. Since 2004, he joined the College o f Information Science and Engineering of Hunan University. Now, he is a Full Professor with Hunan University, member of China Computer Federation (CCF). His research interests include visual object tracking, embedded computing system, dynamic multi- objective optimization evolutionary algorithm and tasks scheduling optimization in cloud computing. H e has published more than 50 papers in international and domestic Journals and Conferences. He obtained several awards from academic organizations and conferences, such as the Champion of the Future Challenge: Intelligent Vehicles and Beyond, FC 09, which was hosted by the National Natural Science Fund Committee of China in 2009. Li Renfa works as Professor and PhD supervisor of Hunan University, Senior member of China Computer Federation (CCF), his main research interests include embedded system, artificial intelligence and optimization theory etc.