Subjects: Physics >> Geophysics, Astronomy, and Astrophysics Subjects: Information Science and Systems Science >> Basic Disciplines of Information Science and Systems Science submitted time 2024-06-09
Abstract: The precise estimation of the satellite clock bias (SCB) holds considerable importance in ensuring accurate timekeeping, navigation, and positioning. This studyintroduces a novel SCB prediction approach that integrates variational mode decomposition (VMD) and long short-term memory (LSTM) network techniques, combining signal decomposition with deep learning methodologies. Initially, the raw SCB data undergoespreprocessing, followed by decomposition using the VMD method to generate multiple intrinsic mode functions (IMFs). These decomposed IMFs serve as inputs for LSTM, where several independent LSTM models are established for training and prediction purposes. Subsequently, the predicted outcomes are aggregated and reconstructed to derive the finalSCB prediction. Experimental findings demonstrate notable advancements in clock bias prediction for the spaceborne hydrogen atomic clock for BDS, with prediction accuracies of 0.048 ns, 0.204 ns and 1.397 ns for 6 hours, 3 days and 15 days, respectively. These results exhibit significant enhancements compared to both the LSTM network and the Back Propagation (BP) neural network, with improvements of 56%, 84% and 83% for the aforementioned time intervals in comparison to LSTM, and enhancements of 59%, 82% and 83% relative to the BP neural network.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Management Psychology submitted time 2024-06-09
Abstract: With the increasing utilization of information communication technologies (ICT) in organizations, virtual communication has emerged as the predominant method of communication. In contrast to traditional face-to-face communication, the filtering of cues and the geographically distributed nature of virtual communication significantly diminish power cues and social norm constraints. More importantly, the inherent asynchronicity of virtual communication interrupts the process of power expression and acceptance. All these have a significant impact on the existing power configuration between supervisor and subordinate. However, limited research has focused on whether and how virtual communication affects traditional hierarchical power configuration. Drawing on the perspectives of identity self-construction and mutual construction, this study will examine the impact of technical cues, message exchange behavior, and virtual communication patterns on supervisor power expression and subordinate power acceptance, considering individual-, episodic-, and interpersonal-level. By integrating the perspectives and theories of organizational behavior, information systems, and communication disciplines, this study aims to contribute to the theoretical advancement of research on the utilization of ICT and hierarchical power configurations. Furthermore, it also aims to provide a theoretical foundation for the design of communication software and the implementation of hierarchical virtual communication practices.