Search results for "Computer science"
showing 10 items of 22367 documents
Dati kā ontoloģija - glabāšana, vaicāšana, vizualizācija
2014
Anotācija Promocijas darba centrālā tēma ir semantiski dati un to lietojums datu atlasē un sistēmu izstrādē. Darba centrālā tēze ir “Semantiskā Latvija” – ontoloģijas kā vienojošs aspekts. Tās tiek publicētas, ir pieejama platforma, kas interpretē ontoloģiju un ļauj tajā ievadīt un labot datus, ir pieejams grafisks rīks, kas ļauj sastādīt grafiskus vaicājumus pār izveidotajiem datiem. Darbā ir izstrādāta grafiska vaicājumu valoda, ar kuras palīdzību var sastādīt grafiskus vaicājumus pār semantiskiem datiem. Vaicājumi tālāk tiek tulkoti uz SPARQL vaicājumu valodu. Mēs esam pierādījuši, ka vaicājumu valoda ir saprotama un uzlabo lietotājiem lasāmību. Vaicājumu valodai ir izstrādāts arī eksper…
Molecular Mechanisms of the Blockage of Glioblastoma Motility
2021
Glioblastoma (GBM) is the most common and lethal brain tumor. GBM has a remarkable degree of motility and is able to infiltrate the healthy brain. In order to perform a rationale-based drug-repositioning study, we have used known inhibitors of two small Rho GTPases, Rac1 and Cdc42, which are upregulated in GBM and are involved in the signaling processes underlying the orchestration of the cytoskeleton and cellular motility. The selected inhibitors (R-ketorolac and ML141 for Cdc42 and R-ketorolac and EHT 1864 for Rac1) have been successfully employed to reduce the infiltration propensity of GBM in live cell imaging studies. Complementarily, all-atom simulations have elucidated the molecular …
Analysis of MAC-level throughput in LTE systems with link rate adaptation and HARQ protocols
2015
LTE is rapidly gaining momentum for building future 4G cellular systems, and real operational networks are under deployment worldwide. To achieve high throughput performance, in addition to an advanced physical layer design LTE exploits a combination of sophisticated mechanisms at the radio resource management layer. Clearly, this makes difficult to develop analytical tools to accurately assess and optimise the user perceived throughput under realistic channel assumptions. Thus, most existing studies focus only on link-layer throughput or consider individual mechanisms in isolation. The main contribution of this paper is a unified modelling framework of the MAC-level downlink throughput of …
Using Talking Books to Support Early Reading Development
2009
This chapter explores the question of how interactive multimedia talking books can promote young children’s literacy development. Whilst commercially available talking books can motivate young children to read, there is little evidence that they are linked to the development of skills known to promote reading itself. The ‘Bangers and Mash’ talking books (Chera, 2000), were designed to address this issue, and we review studies that evaluated their effectiveness as classroom resources that could promote reading-related skills and abilities. We then consider the various barriers to collaborative learning in Early Years classrooms, and describe how resources like talking books could address som…
Applications of Microlocal Analysis in Inverse Problems
2020
This note reviews certain classical applications of microlocal analysis in inverse problems. The text is based on lecture notes for a postgraduate level minicourse on applications of microlocal analysis in inverse problems, given in Helsinki and Shanghai in June 2019.
Automated Railway Signs Detection. Preliminary Results
2019
Abstract Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional lines) several tasks still depend on the choices and actions of a human crew. With the aim to improve safety in such type of railways, this research proposes a system for the automatic detection and recognition of railway signs by means of the digital image processing technique. First field applications, carried out on the Italian railway network, show that the proposed system is very accurate (the percentage of correctly detected railway signs is about 97%), even at high train speeds.
Improving Scalable K-Means++
2021
Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means‖ type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces produced by the random projection method for the initialization. The proposed methods are scalable and can be run in parallel, which make them suitable for initializing large-scale problems. In the experiments, comparison of the proposed methods to the K-means++ and K-means‖ methods is conducted using an extensive set of reference and synthetic large-scale datasets. Concerning the latter, a novel high-dimensional clustering data generation …
The effect of writing modality on recollection in children and adolescents
2019
We set out to assess the extent to which writing modality affects recollection in children and adolescents. We examined 10- to 11-year-old children’s (N = 63) and 16-year-old adolescents’ (N = 43) handwriting, keyboarding with a laptop computer and keyboarding with a touchscreen tablet computer or mobile phone in a within-subjects experimental design. Participants were instructed to write down stories dictated to them in the three writing modalities. Recollection of the stories was assessed using free recall of details in the stories. The results indicate that the writing modality affects recollection, handwriting leading to better recollection. However, currently, digital writing tools are…
An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-C…
2020
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model. However, it may produce a data compatibility dilemma. Our proposed eHealth ontology can increase interoperability between different heterogeneous networks, provide situation awareness, help in data integration, and discover…
Context-Aware Adaptive System For M- Learning Personalization
2014
International audience; Context-aware mobile learning is becoming important because of the dynamic and continually changing learning settings in learner's mobile environment, giving rise to many different learning contexts that are difficult to apprehend. To provide personalization of learning content, we aim to develop a recommender system based on semantic modeling of learning contents and learning context. This modeling is complemented by a behavioral part made up of rules and metaheuristics used to optimize the combination of pieces of learning contents according to learner's context. All these elements form a new approach to mobile learning.