Search for dissertations about: "mobile learning industrial engineering"
Showing result 1 - 5 of 11 swedish dissertations containing the words mobile learning industrial engineering.
-
1. Making Mobile Meaning : expectations and experiences of mobile computing usefulness in construction site management practice
Abstract : During the last decade, anticipated and realized benefits of mobile and wireless information and communication technology (ICT) for different business purposes have been widely explored and evaluated. Also, the significance of ‘user acceptance’ mechanisms through ‘perceived usefulness’ of ICT applications has gained broad recognition among business organizations in developing and adopting new ICT capabilities. READ MORE
-
2. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms
Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE
-
3. A Timely Journey Through the Cloud
Abstract : This thesis treats the intersection between two of the largest transformations we are seeing within our society today; the cloud and the Internet-of-Things (IoT). The aim of this thesis is to investigate different ways to model and control a network of cloud services so that timing-critical IoT applications can make use of them. READ MORE
-
4. Automation of Wheel-Loaders
Abstract : Automation and tele-remote operation of mobile earth moving machines is desired for safety and productivity reasons. With tele-operation and automation, operators can avoid harsh ergonomic conditions and hazardous environments with poor air quality, and the productivity can in principle be improved by saving the time required to commute to and from work areas. READ MORE
-
5. Learning Behavior Trees for Collaborative Robotics
Abstract : This thesis aims to address the challenge of generating task plans for robots in industry-relevant scenarios. With the increase in small-batch production, companies require robots to be reprogrammed frequently for new tasks. However, maintaining a team of operators with specific programming skills is only cost-efficient for large-scale production. READ MORE