OPENPROP, an open-source computational tool for the design and analysis of propellers and horizontal-axis turbines, is extended to provide estimates of normal stresses in the blades for both onand off-design operating conditions. The numerical model is based on propeller lifting theory, and the present implementation of the code includes an analysis capability to estimate the off-design perform...

Quantitative methods to measure the participation to parliamentary debate and discourse of elected Members of Parliament (MPs) and the parties they belong to are lacking. This is an exploratory study in which we propose the development of a new approach for a quantitative analysis of such participation. We utilize the New Zealand government’s digital Hansard database to construct a topic model ...

The main objective of the paper is to study the approximation and complexity trade-off capabilities of the recently proposed Tensor Product Distributed Compensation (TPDC) based control design framework. The TPDC is the combination of the TP model transformation and the Parallel Distributed Compensation (PDC) framework. The TP model transformation includes an HOSVD based technique to solve the ...

quickpsy is a package to parametrically fit psychometric functions. In comparison with previous R packages, quickpsy was built to easily fit and plot data for multiple groups. Here, we describe the standard parametric model used to fit psychometric functions and the standard estimation of its parameters using maximum likelihood. We also provide examples of usage of quickpsy, including how allow...

Uncovering latent topics from given texts is an important task to help people understand excess heavy information. This has caused the hot study on topic model. However, the main texts available daily are short, thus traditional topic models may not perform well because of data sparsity. Popular models for short texts concentrate on word co-occurrence patterns in the corpus. However, they do no...

Topic modeling has become a ubiquitous topic analysis tool for text exploration. Most of the existing works on topic modeling focus on fitting topic models to input data. They however ignore an important usability issue that is closely related to the end user experience: stability. In this study, we investigate the stability problem in topic modeling. We first report on the experiments conducte...

Many system types in engineering require mathematical models involving non-differentiable or discontinuous functions. Such system models are often sensitive to round-off errors. Their parameters might be uncertain due to impreciseness in measurements or lack of knowledge. Therefore, interval methods represent a straightforward choice for verified analysis of such systems. However, application o...