Generalized Nets Model of an E-Learning System Software Architecture

The paper has been presented at the International Conference Pioneers of Bulgarian Mathematics, Dedicated to Nikola Obreshko ff and Lubomir Tschakaloff , Sofi a, July, 2006.

A framework for automated construction of resource space based on background knowledge

Resource Space Model is a kind of data model which can effectively and flexibly manage the digital resources in cyber-physical system from multidimensional and hierarchical perspectives. This paper focuses on constructing resource space automatically. We propose a framework that organizes a set of digital resources according to different semantic dimensions combining human background knowledge in WordNet and Wikipedia. The construction process includes four steps: extracting candidate keywords, building semantic graphs, detecting semantic communities and generating resource space. An unsupervised statistical language topic model (i.e., Latent Dirichlet Allocation) is applied to extract candidate keywords of the facets. To better interpret meanings of the facets found by LDA, we map the keywords to Wikipedia concepts, calculate word relatedness using WordNet's noun synsets and construct corresponding semantic graphs. Moreover, semantic communities are identified by GN algorithm. After extracting candidate axes based on Wikipedia concept hierarchy, the final axes of resource space are sorted and picked out through three different ranking strategies. The experimental results demonstrate that the proposed framework can organize resources automatically and effectively.©2013 Published by Elsevier Ltd. All rights reserved.

Analysis of extended range variable gain hybrid Raman-EDFAs in systems using Nyquist-WDM 100/200G PM-QPSK/16QAM

We use the GN-model to assess Nyquist-WDM 100/200Gbit/s PM-QPSK/16QAM signal reach on low loss, large core area fibre using extended range, variable gain hybrid Raman-EDFAs. 5000/1500km transmission is possible over a wide range of amplifier spans. © OSA 2014.

Applying Data Mining Tools in E-Learning

Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014

Chemical and mineral composition of rocks from the Philippine Sea

The book is devoted to geology of the Philippine Sea floor. This region is studied most extensively among other marginal seas of the Pacific Ocean. Rocks of the sedimentary and basalt layers within this sea have been studied during five legs of D/S Glomar Challenger. International geological expedition on board R/V Dmitry Mendeleev carried out according to the Project ''Ophiolites of Continents and Comparable Rocks of the Ocean Floor''obtained unique collection of rocks from the second and third layers of the ocean crust in the Philippine Sea. The book provides detailed petrographic and geochemical description of igneous and sedimentary formations from the Philippine Sea and compares them with rocks of the continental ophiolite association. An analysis of structure and history of the ocean crust formation in the region is based on all known geological information. The main periods of tectonic movement activation and nature of their manifestations within the sea are shown.

Anthropological Renga

Peer reviewed

Samoyedic Diary : Early Years of Visual Anthropology in the Soviet Arctic

Peer reviewed

Add language documentation to any ethnographic project in six steps

Peer reviewed

The Politics of Culture and the Space for Islam : Soviet and Post-Soviet Imaginaries in Uzbekistan

Peer reviewed

The Politics of Culture and the Space for Islam : Soviet and Post-Soviet Imaginaries in Uzbekistan

Peer reviewed

Biography of a Road : Past and Present of the Siberian Doroga Lena

Peer reviewed

Households without Houses : Mobility and Moorings on the Eurasian Steppe

Peer reviewed

Key figure of mobility : The pedestrian

Peer reviewed

A Naturalist Abroad in the Museum of Ontology : Phillipe Descola's Beyond Nature and Culture

Peer reviewed

Constraints on community participation in salmon fisheries management in Northwest Russia

Acknowledgements Many parties contributed to making this paper a reality. This research was supported by the European Social and Research Council, grant ESRC ES/K006428/1. The author is particularly grateful to the grant’s holder, Professor David Anderson from the Department of Anthropology, University of Aberdeen, for his various support throughout this research. The Barents Center of the Humanities at Kola Science Center of the Russian Academy of Sciences in Apatity provided important institutional support. Officials from several fisheries management institutions of Arkhangelsk oblast, including Shiriaev Igor Alekseevich from Dvinsko-Pechorskoe Territorial Management Board, Skovorod’ko Artem Aleksandrovich from the Northern Basin Directorate of Fisheries and Water Biological Resources Conservation (Sevrybvod) and Korotenkov Aleksei Anatol’evich from the Fishing Industry Agency of Arkhangelsk oblast were very supportive and shared their knowledge wherever possible. Scholars Studenov Igor Ivanovich and Stasenkov Vladimir Aleksandrovich at Northern branch of the Knipovich Polar Research Institute of Marine Fisheries and Oceanography (SevPINRO) in Arkhangelsk provided their invaluable expertise on marine fisheries. Chairmen of several fishing collective farms – Tuchin Sergei Viktorovich, Samoilov Sergei Nikolaevich and Seliverstova Marina Nikolaevna – offered a great administrative support. Local residents of several villages in Mezen region were extremely generous and hospitable, providing places to stay, warm clothes, food, endless cups of tea, and most valuably, sparing their time. Finally, Natalie Wahnsiedler was a regular companion during fieldwork and a great source of inspiration for this research.