scholarly journals A GEO-DATABASE SOLUTION FOR THE MANAGEMENT AND ANALYSIS OF BUILDING MODEL WITH MULTI-SOURCE DATA FUSION

Author(s):  
W. Li ◽  
S. Zlatanova ◽  
J. J. Yan ◽  
A. Diakite ◽  
M. Aleksandrov

Abstract. Over the last decades, building models have become valuable for a multitude of application scenarios, such as visualisation, simulations and decision support. As the growth of multi-source data consisting of semantic and 2D/3D spatial information, data management becomes feasibility means for facilitating the development and deployment of building model applications. In addition, most studies focus on modelling buildings at geometric level, while semantic analysis can become a promising approach to get a better understanding of built environment. How to utilize multi-source data in a joint manner to further express the building model, therefore, is an emerging challenge. In this paper, we develop a semantic 3D building model based on complex multi-source data. Then, we tackle data management and analysis problems in a geo-database solution for our unified building model. Performance studies on the University of New South Wales (UNSW) campus demonstrate the efficiency of our solution.

Author(s):  
Yehorova O.I. ◽  
Kozlova Yu.V.

The article aims at analyzing the topical English pandemic (coronavirus) vocabulary from the perspective of system-functional approach. This envisages performing following tasks: 1) to identify the pandemic (coronavirus) lexical cluster, 2) to describe the word-building peculiarities of the English coronavirus vocabulary and 3) to interpret the functioning of this vocabulary within the political, every day, and Internet discourses.Methods. The methodological framework used in the study features: 1) generalization for establishing basic theoretical principles of the research; 2) structure-semantic analysis for studying the word-building specifics of the pandemic vocabulary; 3) statistical method for defining calculate the frequency and the productivity of certain word-building models within the pandemic lexical cluster; 4) the elements of discourse analysis to highlight the functional peculiarities of coronavirus vocabulary.Results. Coronacrisis, that we have experienced till the present, has become a crucial factor catalyzing nomination processes of the novel concepts, thus influencing the lexical system of the English language. We consider pandemic lexicon (coronavirus vocabulary) the novelist group of neologisms in the English language since it comprises innovative words and phrases which have been coined since the start of COVID-19 pandemic and relate to its impact on the modern life. Among the most common for coronavirus vocabulary word-building models are derivation, compounding, shortening, loan and substitution; alongside, the statistical analysis has proved blending to be the most productive word-building model. The study of functional peculiarities of the pandemic lexicon within various types of discourses shows that its biggest part has entered the usus. The use of pandemic vocabulary within the Internet discourse is marked by the development of a number of thematic groups of language units referring to: 1) routine activities and events; 2) changes in learn and work modes; 3) excess weight; 4) alcohol and 5) verbal aggressiveness.Conclusions. The study enabled categorizing the units of the English pandemic (coronavirus) vocabulary as a separate lexical cluster, which has predominantly developed with the help of the already existing language resources. The units of this innovative cluster perform nominative function by naming new concepts and realia of life, reflect social moods, for instance, the feelings of worry, fear, anguish, and hopelessness, or facilitate the humorous effect in communication. Prospects for future research lie within the expansion of discursive analysis of pandemic innovations for revealing functional of some neological units on different stages of the COVID-19 pandemic, as well as conducting a comparative study of pandemic innovations in distant languages.Key words: word-building, lexical innovation, pandemic vocabulary, discourse. Метою пропонованого дослідження є висвітлення актуального пандемійного (коронавірусного) вокабуляру англійської мови з позицій системно-функціонального підходу. Досягненню мети сприяє виконання таких завдань: 1) ідентифікувати пандемійний (коронавірусний) лексичний кластер; 2) охарактеризувати словотвірні особливості коронавокабуляра англійської мови та 3) проінтерпретувати особливості функціонування коронавокабуляра в політичному, повсякденному та інтернет-дискурсах.Методи. Для досягнення поставленої мети застосовувалися: 1) метод узагальнення для ідентифікації базових теоретич-них положень; 2) метод структурно-семантичного аналізу для вивчення особливостей словотвору пандемійного вокабуляра; 3) статистичний метод для вирахування частотності та продуктивності словотворення пандемійного лексичного кластера за конкретними моделями; 4) елементи дискурс-аналізу для вивчення функціональних особливостей короновокабуляра.Результати. Коронакриза, що триває нині, є центральним фактором впливу на лексикографічну систему англійської мови, оскільки актуалізувала проблему номінації нових реалій. Найактуальнішою неологічною групою англійської мови нині є пандемійна лексика (коронавірусний вокабуляр), до складу якого, зокрема, входять інноваційні слова та вирази, що виникли з початку пандемії COVID-19 та пов’язані з її впливом на сучасне життя. Елементи коронавокабуляра утворюються за низкою дериваційних моделей, до числа яких відносимо деривацію, основоскладання, скорочення, запозичення, субституцію, проте найпродуктивнішою моделлю за результатами статистичного аналізу є телескопія. Дослідження особливостей функціонуван-ня коронавірусного вокабуляра в різних типах дискурсу дає змогу констатувати превалювання узуальної лексики та тісні між-дискурсивні зв’язки, зокрема між політичним дискурсом та дискурсом повсякденності. Використання пандемійної лексики на просторах інтернет-дискурсу відзначається формуванням низки лексико-семантичних груп на позначення: 1) рутинних занять та подій; 2) змін у звичному розпорядку навчальної та робочої діяльності; 3) зайвої ваги; 4) алкоголю та 5) мовної агресії.Висновки. Проведене дослідження уможливило виокремлення англомовного пандемійного (коронавірусного) вокабуляра як окремого лексичного кластера, основу якого становить загальновживана лексика. Одиниці цього інноваційного кластера виконують номінативну функцію через іменування нових реалій та концептів життя, а також рефлектують настрої суспільства, зокрема відчуття занепокоєння, остраху, туги та безнадійності, або ж сприяють реалізації гумористичного ефекту комунікації.Ключові слова: словотворення, лексична інновація, пандемійний вокабуляр, дискурс.


Author(s):  
Mohamed El-Mekawy ◽  
Anders Östman

The Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) are the two most prominent semantic models for the representation of Building Information Models (BIM) and geospatial objects. IFC and CityGML use different terminologies to describe the same domain, and there is a great heterogeneity in their semantics. For bidirectional conversions between these models, an intermediate Unified Building Model (UBM) is proposed that facilitates the transfer of spatial information from IFC to CityGML and vice versa. A unified model in the current study is defined as a superset model that is extended to contain all the features and objects from both IFC and CityGML building models. The conversion is a two-steps process in which a model is first converted to the unified model and then to the target model.


IFLA Journal ◽  
2021 ◽  
pp. 034003522110541
Author(s):  
Adrian W Chew ◽  
Cherry Zin Oo ◽  
Adeline LH Wong ◽  
Joanne Gladding

In response to low research data management engagement at the University of New South Wales, Australia, an introductory research data management online training was developed and rolled out to all newly enrolled Higher Degree Research candidates. This article outlines the development process of the research data management online training and provides an initial evaluation of the training from the perspectives of the candidates and the university. As such, this article joins up with existing literature on research data management training to assist institutions and research data management stakeholders with the development of research data management training to help researchers and research students enact research data management best practices. Overall, the majority of the candidates ( n = 643) were satisfied with the quality of the training and found it helpful. The benefits the training brought to the university are mapped out by linking institutional research data management problems, the research data management online training’s design and findings into a coherent narrative.


Author(s):  
Nataliia Tsymbalenko

The subject of research-theoretical concepts of economic security managementof universities. The purpose of the article. The study of the essence of the economicsecurity management system of the university and the definition of its main tasks,the formulation of principles of economic security management of the university.Methodology. The dialectical method, methods of analysis and synthesis, methodsof structural-logical and semantic analysis were used to study and summarizescientific papers on the research topic. The results of the work. The essence of theuniversity’s economic security management system has been reviewed. The maintasks of the control system have been identified. A definition of the university’seconomic security system has been proposed. Principles of management of economicsecurity of the university have been formulated. These are: scientific andorganizational and social principles. Conclusions. The proposed principles allow totake into account the economic role and social mission of universities in managingeconomic security.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.


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