Though Blind Source Separation (BSS) techniques have typically been applied within Operational Modal Analysis (OMA) framework, there joint diagonalization property can also be utilized within traditional input-output Experimental Modal Analysis (EMA) for the purpose of modal parameter estimation. This paper explores this possibility and suggests an approach to achieve the same. The paper presen...

The general applicability of the modal approach for model reduction is restricted by the lack of guaranteed bounds for approximation errors and of a satisfactory modal dominance analysis procedure. Functional and computational enhancements of this approach are proposed. Functional enhancements arise by combining the modal techniques with other methods and by using improved dominance analysis te...

In parallel manipulator design, usual 6-DOF PMs, like the Stewart platform, suffer from the disadvantages of difficult forward kinematics, coupled motion, and small workspace, so that the motion planing and control become very complicated and difficult to be implemented in real application. Most of the PMs with lower mobility are over-constrained when assembly errors are considered [1]. Therefo...

Despite having impressive vision-language (VL) pretraining with BERT-based encoder for VL understanding, the of a universal encoder-decoder both understanding and generation remains challenging. The difficulty originates from inherently different peculiarities two disciplines, e.g., tasks capitalize on unrestricted message passing across modalities, while only employ visual-to-textual passing. ...

Open hypermedia systems provide a decoupled approach to structural computing. This entails that the architecture of the systems are made up of user agents that communicate with distributed link servers. This in turn raises the consideration of the different message exchange patterns that may be implemented in such interaction, which determines the behaviour of systems according to them. The def...

In recent years, multi-modal fusion has attracted a lot of research interest, both in academia, and industry. Multimodal entails the combination information from set different types sensors. Exploiting complementary sensors, we show that target detection classification problems can greatly benefit this approach result performance increase. To achieve gain, various sensors is shown to require so...