DCSA 2015 - Workshop on Data Centered Smart Applications (DCSA 2015)
Topics/Call fo Papers
Chairs: Ajantha Dahanayake (Prince Sultan University, Saudi Arabia), Bernhard Thalheim (Christian Albrechts University, Germany)
Website: http://www.is.informatik.uni-kiel.de/en/is/events/...
Nowadays, smart applications are gaining a lot of attention from academics and industry. Massive data collections and the usage of that data brings in the development of smart applications as the key process for improving the efficiency, reliability, and security of a traditional application. The concept of smart applications includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the deployment of networked smart devices and sensors, unprecedentedly large amount of sensory data can be collected and processed by advanced computing paradigms which are the enabling techniques for smart applications. For example, given historical environmental, population and economic information, salient modeling and analytics are needed to simulate the impact of potential application development strategies, which will be critical for intelligent decision making. Analytics are also indispensable for discovering the underlying structure from retrieved data in order to design the optimal policies for real time automatic control in the cyberphysical smart system. Furthermore, uncertainties and security concerns in the data collected from heterogeneous resources aggravate the problem, which makes smart planning, operation, monitoring and control highly challenging
Website: http://www.is.informatik.uni-kiel.de/en/is/events/...
Nowadays, smart applications are gaining a lot of attention from academics and industry. Massive data collections and the usage of that data brings in the development of smart applications as the key process for improving the efficiency, reliability, and security of a traditional application. The concept of smart applications includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the deployment of networked smart devices and sensors, unprecedentedly large amount of sensory data can be collected and processed by advanced computing paradigms which are the enabling techniques for smart applications. For example, given historical environmental, population and economic information, salient modeling and analytics are needed to simulate the impact of potential application development strategies, which will be critical for intelligent decision making. Analytics are also indispensable for discovering the underlying structure from retrieved data in order to design the optimal policies for real time automatic control in the cyberphysical smart system. Furthermore, uncertainties and security concerns in the data collected from heterogeneous resources aggravate the problem, which makes smart planning, operation, monitoring and control highly challenging
Other CFPs
- 19th East-European Conference on Advances in Databases and Information Systems (ADBIS 2015)
- 2nd International Workshop on Big Data Applications and Principles (BigDAP 2015)
- 9th International Workshop on Communication Technologies for Vehicles: Nets4Cars-2015
- Workshop on Adaptive Resource Management and Scheduling for Cloud Computing
- 3rd International Engineering and Technology Education Conference (IETEC’15) and 7th Balkan Region Conference on Engineering and Business Education (BRCEBE)
Last modified: 2015-03-17 22:01:10