Картография, геоинформатика и дистанционное зондирование: вызовы 21 века
Currently, the effective use of all available geographical information in Earth Sciences worldwide is associated with problems of their processing and effective application, although more recently, the problems of storing large amounts of data have been added to this. In modern conditions, the spatial data Fund is a complex and extensive information field containing the most heterogeneous data in terms of spatial coverage and resolution. This is due to an increase in the volume of information, and the ways to choose the means and methods of processing. In the research work of scientists and the routine work of managers, only knowledge-intensive information is needed, which has specifics due to the specialization, complexity and strong connectivity of data.
This book describes modern tools and methods of geoinformation mapping, remote monitoring in geographical research for complex spatial analysis of natural and socio-economic processes. The synthesis of industry knowledge is also necessary for studying different aspects of nature and society, for establishing patterns and deepening geographical knowledge, and for making forecasts. Modern geoinformation technologies, remote sensing of the Earth, and cartographic works based on them most fully meet such complex requests.
Extensive data on the flora and fauna of the surveyed areas, as well as individual groups of protected plant and animal species, can be mapped using the square grid method. The paper shows the ways and directions of development of the method, as well as the features of its application in Russia. On the example of the Kaliningrad region and the Republic of Crimea the peculiarities of distribution of protected species of higher vascular plants and vertebrates are analyzed, the places of floristic, faunistic and floristic-faunistic diversity are revealed. The conclusions about the effectiveness of the environmental protection are drawn on the basis of comparison with the network of specially protected natural areas. The paper also assesses the applicability of the method of grid mapping at the regional level to solve environmental problems.
This article conducts a study of multiplying the credit rating agencies efforts. These opportunities are practically important in connection with implementation of the IRB approach. The author considers Russian commercial banks as one of the main examples of using proposal methods, so in addition to literature overview the paper includes review of the Russian banking system and rating activities.
Firstly, the author discussed the rating scales mapping for comparison of rating estimations of different agencies. Then, he proposed the distance method with the connected extremum problem to find compatible mapping functions for rating scale correspondence.
Secondly, the paper considered the possibility of rating model system creation for financial institutions. The bank rating models in order logit interpretation are discussed simultaneously for resident (Russian) and non-resident institutions. In addition, the specification of bank models’ characteristics and their quality were considered for the three largest international rating agencies also as econometrical models for corporates and sovereign were presented.
The results reviewed can help to apply basic instruments for practical applications of such models to the risk management problems, which are based on the public information and remote estimation of ratings. Commercial banks and government financial regulators may be perspective consumers of the proposed methods.
The article describes thefeatures of comparstive planetary science as academic discipline. The article shows the components of the Comparative Planetology. The article reveals the integration aspect of the discipline. The article compares the Geo-Informatics and Comparative Planetology.
The Russian Scientometric Handbook is designed to provide an overview of the field of scientometrics. The Handbook describes the history of creation of the breakthrough concept of citation indexing by Dr. Eugene Garfield, and development of the first multidisciplinary scholarly citation index, the Science Citation Index. Application of scientometric tools and methods in research management and resource allocation is discussed. Authors survey various scientometric indicators relevant to individual researchers, journals, research institutions and whole countries. Authors explore new types of indicators, such as altmetrics, relationship between scientometric indicators and the nature of scientific communication, and various methods of visualizing scientometric information. Possibilities and limitations of various scientometric techniques are examined. Authors highlight the need for an informed and reasonable approach to the use of quantitative indicators for research assessment. The Handbook includes the first Russian translations of three articles by Dr. Eugene Garfield.
The Handbook is intended for use by researchers, science analysts, universities and research institutions administrators, libraries and information centers staff, graduate students, and the general public interested in scientometrics and research evaluation.
The Baikal region in Siberia had long been a zone of interactions between various European, Asian and global actors. Numerous relational spaces which were produced by the interactions were reconstructed in a geographic information system (GIS) and analysed jointly. The fall of the Qing and Russian empires resulted in energetic attempts to redraw administrative and international boundaries. Between 1917 and 1919 several disentanglement projects were developed and implemented by different actors, including indigenous intellectuals and Buddhist monks. These were the Buryat Autonomy proclaimed in 1917; the Buddhist theocracy created by a dissident Buddhist monk Lubsan Samdan Tsydenov; and the pan-Mongolian federation of Inner, Outer, Hulunbuir and Buryat Mongolia supported by Japanese officers and a regional Cossack leader Grigory Semenov. Each project underlined a certain group identity and claimed particular relational spaces. The article explored how the conflicts between overlapping identities were resolved, and why all three projects failed.
Human reasoning uses to distinguish things that do change and things do not. The latter are commonly expressed in the reasoning as objects, which may represent classes or instances, and classes being further divided into concept types and relation types. These became the main issue of knowledge engineering and have been well tractable by computer. The former kind of things, meanwhile, inevitably evokes consideration not only of a ``thing-that-changes'' but also of ``change-of-a-thing'' and thus claims that the change itself be another entity that needs to be comprehended and handled. This special entity, being treated from different perspectives as event, (changeable) state, transformation, process, scenario and the like, remains a controversial philosophical, linguistic and scientific entity and has gained notably less systematic attention by knowledge engineers than non-changing things. In particular, there is no clarity in how to express the change in knowledge engineering -– as some specific concept or relation type, as a statement, or proposition, in which subject is related to predicate(s), or in another way. There seems to be an agreement among the scientists that time has to be related, explicitly or implicitly, to everything we regard as change -– but the way it should be related, and whether this should be exactly the time or some generic property or condition, is also an issue of debate. To bring together the researchers who study representation of change in knowledge engineering both in fundamental and applied aspects, a workshop on Modeling States, Events, Processes and Scenarios (MSEPS 2013) was run on 12 January, 2013, in the framework of the 20th International Conference on Conceptual Structures (ICCS 2013) in Mumbai, India. Seven submissions were selected for presentation that cover major approaches to representation of the change and address such diverse domains of knowledge as biology, geology, oceanography, physics, chemistry and also some multidisciplinary contexts. Concept maps of biological and other transformations were presented by Meena Kharatmal and Nagarjuna Gadiradju. Their approach stems from conceptual graphs of Sowa and represents the vision of change as a particular type of concept or, likely, relation, defined by meaning rather than by formal properties. The work of Prima Gustiene and Remigijus Gustas follows a congenial approach but develops a different notation for representation of the change based on specified actor dependencies in application to business issues concerning privacy-related data. Nataly Zhukova, Oksana Smirnova and Dmitry Ignatov explore the structure of oceanographic data in concern of opportunity of their representation by event ontologies and conceptual graphs. Vladimir Anokhin and Biju Longhinos examine another Earth science, geotectonics, and demonstrate that its long-lasting methodological problems urge application of knowledge engineering methods, primarily engineering of knowledge about events and processes. They suggest a draft of application strategy of knowledge engineering in geotectonics and claim for a joint interdisciplinary effort in this direction. Doji Lokku and Anuradha Alladi introduce a concept of ``purposefulness'' for any human action and suggest a modeling approach based on it in the systems theory context. In this approach, intellectual means for reaching a purpose are regarded either as structure of a system, in which the purpose is achieved, or as a process that takes place in this system. These means are exposed to different concerns of knowledge, which may be either favorable or not to achieving the purpose. The resulting framework perhaps can be described in a conceptual-graph-related way but is also obviously interpretable as a statement-based pattern, more or less resembling the event bush (Pshenichny et al., 2009). This binds all the aforementioned works with the last two contributions, which represent an approach based on understanding of the change as a succession of events (including at least one event), the latter being expressed as a statement with one subject and finite number of predicates. The method of event bush that materializes this approach, previously applied mostly in the geosciences, is demonstrated here in application to physical modeling by Cyril Pshenichny, Roberto Carniel and Paolo Diviacco and to chemical and experimental issues, by Cyril Pshenichny. The reported results and their discussion form an agenda for future meetings, discussions and publications. This agenda includes, though is not limited to, - logical tools for processes modeling, - visual notations for dynamic knowledge representation, - graph languages and graph semantics, - semantic science applications, - event-driven reasoning, - ontological modeling of events and time, - process mining, - modeling of events, states, processes and scenarios in particular domains and interdisciplinary contexts. The workshop has marked the formation of a new sub-discipline in the knowledge engineering, and future effort will be directed to consolidate its conceptual base and transform the existing diversity of approaches to representation of the change into an arsenal of complementary tools sharpened for various spectral regions of tasks in different domains.
Spatial Data: the Needs of the Economy in the Context of Digitalization / E. Belogurova, V. Vorobyev, O. Gvozdev et al.; The Federal Service for State Registration, Cadastre and Cartography; National Research University Higher School of Economics; Institute for Scientiﬁ c Research of Aerospace Monitoring ”AEROCOSMOS“. – Moscow: HSE, 2020.
We examine the synergy of the credit rating agencies’ efforts. This question is important not only for regulators, but also for commercial banks if the implementation of the internal ratings and the advanced Basel Approach are discussed. We consider Russian commercial banks as a good example where proposal methods might be used. Firstly, a literature overview was supplemented with an analysis of the activities of rating agencies in Russia. Secondly, we discussed the methods and algorithms of the comparison of rating scales. The optimization task was formulated and the system of rating maps onto the basic scale was obtained. As a result we obtained the possibility of a comparison of different agencies’ ratings. We discussed not only the distance method, but also an econometric approach. The scheme of correspondence for Russian banks is presented and discussed. The third part of the paper presents the results of econometric modeling of the international agencies’ ratings, as well as the probability of default models for Russian banks. The models were obtained from previous papers by the author, but complex discussion and synergy of their systematic exploration were this paper’s achievement. We consider these problems using the example of financial institutions. We discuss the system of models and their implementation for practical applications towards risk management tasks, including those which are based on public information and a remote estimation of ratings. We expect the use of such a systemic approach to risk management in commercial banks as well as in regulatory borders.
The ability of social media to rapidly disseminate judgements on ethnicity and to influence offline ethnic relations creates demand for the methods of automatic monitoring of ethnicity-related online content. In this study we seek to measure the overall volume of ethnicity-related discussion in the Russian-language social media and to develop an approach that would automatically detect various aspects of attitudes to those ethnic groups. We develop a comprehensive list of ethnonyms and related bigrams that embrace 97 Post-Soviet ethnic groups and obtain all messages containing one of those words from a two-year period from all Russian-language social media (N=2,660,222 texts). We hand-code 7,181 messages where rare ethnicities are over-represented and train a number of classifiers to recognize different aspects of authors’ attitudes and other text features. After calculating a number of standard quality metrics, we find that we reach good quality in detecting intergroup conflict, positive intergroup contact, and overall negative and positive sentiment. Relevance to the topic of ethnicity and general attitude to an ethnic group are least well predicted, while some aspects such as calls for violence against an ethnic group are not sufficiently present in the data to be predicted.
The application of mathematical modeling methods (with subsequent computer sales) to determine the parameters of accuracy geometry bands obtained with the new equipment and process the step deformation bands of hard alloys based on copper
Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments of sensory de-multiplexing, i.e., the parallel processing of different frequency streams in sensory signals. Yet their causal role in such a process has never been demonstrated. Here, we used a neural microcircuit model to address whether coupled theta–gamma oscillations, as observed in human auditory cortex, could underpin the multiscale sensory analysis of speech. We show that, in continuous speech, theta oscillations can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification. The tracking of slow speech fluctuations by theta oscillations, and its coupling to gamma-spiking activity both appeared as critical features for accurate speech encoding. These results demonstrate that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding.