Prototype proposal for profiling and identification of tv viewers using watching patterns

Huff model for shopping centre assessment using aggregated mobile phone data

Multilingual information delivery based on a domain ontology

As internationalisation becomes more and more intensive, organizations need to work with information in different languages in their work. Interlingua content delivery in e-learning courses could be effective learning content adaption method for delivering information for much wider audience. This paper suggests high-level framework for multilingual learning content delivery. This approach is based on a domain ontology, which allows to annotate and retrieve learning resources in a language independent way. Such method can improve accessibility, sharing and reuse of multilingual learning content.

Mobile Phone Data Statistics as Proxy Indicator for Regional Economic Activity Assessment

The mobile data analysis is an authoritative source of information for problems solving in the fields of human activity recognition, population dynamics, tourism, transport planning, traffics measuring, public administration and other activities and could be the source for valuable information as a proxy indicator. One of the obstacles to user data from mobile operators is compliance to the General Data Protection Regulation, so the development of data analytics approach that protects personal data without a necessity to identify mobility of particular persons was developed, that still provides economically relevant data. In the present research, the method for the economic activity assessm…

Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns

Meta model of e-learning materials development

The multitude of software tools is available for the creation of learning resources. However the majority of these tools provided by different software producers do not have a unified mechanism by means of which it would be possible to search and reuse the existing learning resources or their elements. To solve this problem the structures of descriptive data can be used. The aim of this paper is to describe a meta-model of e-learning objects and e-learning formats that could be used in the creation of e-learning materials compatible with various e-learning standards. The meta-data models that are used in widely-known learning resources’ repositories and their structure’s metadata standa…

Pattern Identification by Factor Analysis for Regions with Similar Economic Activity Based on Mobile Communication Data

The study analyses the regions’ economic activity in Latvia using Latvia Mobile Telephone (LMT) mobile communication data from July 2015 to January 2017. The call activity and a number of unique phone users by 119 Latvia counties and biggest cities were analysed in two steps: at first method of principal components was used to explain the variance in the data and then exploratory factor analysis was applied. Three factors were identified that describe 87.5% of the total variance of the aggregated daily data. The first factor is related more to the regions with higher economic activity, the second and third factors capture, respectively, lowers call activity during weekdays and are related t…

E-Learning material presentation and visualization types and schemes

Multimedia and content visualisation provide ability to transform electronic materials into more dynamic format. This can provide positive aspect on learning, but also can overload the limited information processing capacity in human brains. Cognitive load in technology-enhanced learning is closely related to the learning styles of learners. This study examines interactions between learning styles of students and how these are related to student’s working memory and cognitive traits. To investigate the learning styles of learners the Felder- Soloman questionnaire was chosen. It allows analyse students’ learning styles with respect to the Felder-Silverman learning style model, which is t…

Learning Content Development methodology for Mobile Devices

Abstract Mobile devices are becoming increasingly popular; basically mobile devices are reaching all levels of society. Thanks to the popularity of mobile devices, mobile learning has become great tool for delivering educational resources. The continuously increasing demand for mobile technology based learning materials, renders adoption of educational resources for these requirements. Technology by itself does not contribute much to education that is why the aim of this research is to present and evaluate methodology for visualisation and production of electronic materials in mobile environments. Methodology focuses on instructional design and mobile content design and the navigation contr…

Development of Waste Collection Model Using Mobile Phone Data: A Case Study in Latvia

In organizing household waste management and controlling waste collection and disposal, it is necessary to minimise risks to the environment and human health and, where possible, ensure that waste is recycled and returned to the economic cycle. Different models are being applied to increase waste collection management efficiency, but in recent years, the mobile phone data is widely used to solve various application problems. The research objective is to develop a waste collection model, which responds to the population’s current demands and allows planning waste container loading, based on mobile phone data statistics. The developed approach, techniques and data model can be used for waste …

Population Mobility Patterns and Monitoring of COVID-19 Restriction Measures in Latvia