Maintaining temporal validity of real-time data in component-based systems
How to schedule the sensor transactions to maintain the temporal validity of real-time data is an important research issue for cyber-physical systems. Current studies on sensor transaction scheduling assume that the sensor transactions are ...
Design of classical-quantum systems with UML
Developers of the many promising quantum computing applications that currently exist are urging companies in many different sectors seriously consider integrating this new technology into their business. For these applications to function, not ...
A framework for modeling and executing task-Specific resource allocations in business processes
As resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads ...
Efficient DNN training based on backpropagation parallelization
Pipeline parallelism is an efficient way to speed up the training of deep neural networks (DNNs) by partitioning the model and pipelining the training process across a cluster of workers in distributed systems. In this paper, we propose a new ...
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications
Machine learning techniques aim to mimic the human ability to automatically learn how to perform tasks through training examples. They have proven capable of tasks such as prediction, learning and adaptation based on experience and can be used in ...
A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition
Quality of service (QoS)-aware manufacturing cloud service composition (QoS-MCSC) is one of the key issues in Cloud manufacturing (CMfg). More and more manufacturing cloud services offering the same or similar functionality but different QoS ...
