Threading Possibilities of Smart Devices Platforms for Future User Adaptive Systems

Modern Smartphones bring to their users many advantages from well-known text prediction with T9 up to voice recognition or personal intelligent voice assistant. These new application features require more and more CPU power which makes a press to CPU producer to develop better and more powered CPUs. New trend can be recognized in multithreading as well as in multicore CPUs. This paper deals with threading possibilities of current versions of mobile devices with Windows Mobile or Android platform where we present a simple architecture to process data in hard or soft realtime with precise time base. We also deal with a future of Smartphones and possible trends to develop multithread application.

[1]  Wan-Young Chung,et al.  A Comprehensive Ubiquitous Healthcare Solution on an Android™ Mobile Device , 2011, Sensors.

[2]  George Shih,et al.  Is Android or iPhone the Platform for Innovation in Imaging Informatics , 2009, Journal of Digital Imaging.

[3]  Peter Forbrig,et al.  Perspectives in Business Informatics Research - 9th International Conference, BIR 2010, Rostock Germany, September 29-October 1, 2010. Proceedings , 2010, BIR.

[4]  Ngoc Thanh Nguyen,et al.  Agent-Based Approach for Distributed Intrusion Detection System Design , 2006, International Conference on Computational Science.

[5]  Cheng-Yuan Liou,et al.  Resolving Hidden Representations , 2007, ICONIP.

[6]  Peter Mikulecky,et al.  Remarks on ubiquitous intelligent supportive spaces , 2009 .

[7]  Martin Augustynek,et al.  Verification of Set Up Dual-Chamber Pacemaker Electrical Parameters , 2010 .

[8]  Jyrki Leskela,et al.  OpenCL embedded profile prototype in mobile device , 2009, 2009 IEEE Workshop on Signal Processing Systems.

[9]  Sherali Zeadally,et al.  Green Networking for Major Components of Information Communication Technology Systems , 2009, EURASIP J. Wirel. Commun. Netw..

[10]  John E. Stone,et al.  OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems , 2010, Computing in Science & Engineering.

[11]  Cheng-Yuan Liou,et al.  Manifold Construction by Local Neighborhood Preservation , 2007, ICONIP.

[12]  Radoslaw Katarzyniak,et al.  Conditional Statements Grounded in Past, Present and Future , 2010, ICCCI.

[13]  Stephen Gilmore,et al.  Combining Measurement and Stochastic Modelling to Enhance Scheduling Decisions for a Parallel Mean Value Analysis Algorithm , 2006, International Conference on Computational Science.

[14]  Gerhard Wunder,et al.  Decentralized Utility Maximization in Heterogeneous Multicell Scenarios with Interference Limited and Orthogonal Air Interfaces , 2009, EURASIP J. Wirel. Commun. Netw..

[15]  Marc Moeneclaey,et al.  Monte Carlo Solutions for Blind Phase Noise Estimation , 2009, EURASIP J. Wirel. Commun. Netw..

[16]  Radoslaw Katarzyniak,et al.  Measuring Similarity of Observations Made by Artificial Cognitive Agents , 2008, KES-AMSTA.

[17]  Petr Tucník Optimization of Automated Trading System's Interaction with Market Environment , 2010, BIR.

[18]  Josef Zelenka,et al.  Information and communication technologies in tourism - influence, dynamics, trends , 2009 .

[19]  Marco Torchiano,et al.  An in-vehicle infotainment software architecture based on google android , 2009, 2009 IEEE International Symposium on Industrial Embedded Systems.

[20]  Sherali Zeadally,et al.  Enabling Wireless Technologies for Green Pervasive Computing , 2009, EURASIP J. Wirel. Commun. Netw..