Currently a new version of the distance education platform WeLearn [3] to be combined with an agent system ([1], also developed locally) for providing advanced services [2] is under development. In a previous stage of the project software was created to automatically derive keywords from documents, either from the different versions of metadata already contained (various Microsoft file formats,...

As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...

ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...

Wildfire is a growing concern worldwide with significant impacts on human lives and the environment. This study aimed to provide an overview of current trends research gaps in wildfire prediction by conducting bibliometric analysis papers Web Science Scopus databases. CiteSpace was employed analyze co-occurrence keywords, identify clusters, detect emerging trends. The results showed that most f...

We present a new constructive solving approach for systems of 3D geometric constraints. The solver is based on the cluster rewriting approach, which can efficiently solve large systems of constraints on points, and incrementally handle changes to a system, but can so far solve only a limited class of problems. The new solving approach extends the class of problems that can be solved, while reta...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a “knowledge gap” and other missing function words to generate natural ...

Clustering is the process of grouping of data, where the grouping is established by finding similarities between data based on their characteristics. Such groups are termed as Clusters. A comparative study of clustering algorithms across two different data items is performed here. The performance of the various clustering algorithms is compared based on the time taken to form the estimated clus...

RNA secondary structure prediction and classification are two important problems in the field of RNA biology. Here, we propose a new permutation based approach to create logical non-disjoint clusters of different secondary structures of a single class or type. Many different types of techniques exist to classify RNA secondary structure data but none of them have ever used permutation based appr...

Homemade HPC clusters are widely used in many small labs, because they are easy to build and cost-effective. Even though incremental growth is an advantage of clusters, it results in heterogeneous systems anyhow. Instead of adding new nodes to the cluster, we can extend clusters to include some other Internet servers working independently on the same LAN, so that we can make use of their idle t...