Econtechmod

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Smartphone app with usage of AR technologies – SolAR System
(2018-06-18) Shchur, G.; Shakhovska, N.; Rybchak, Z.; Lviv Polytechnic National University
The article describes the AR mobile system for Sun system simulation. The main characteristics of AR systems architecture are given. The differences between tracking and without tracking technics are underlined. The architecture of the system of use of complemented reality for the study of astronomy is described. The features of the system and the principles of its work are determined.
Generalized formal model of Big Data
(Commission of Motorization and Energetics in Agriculture, 2016) Shakhovska, N.; Veres, O.; Hirnyak, M.
This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the “big data” term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It is described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System technology, Cassandra, HBase, Lustre and ZFS, by the MapReduce and Hadoop programming constructs and many other solutions. According to the experts, such as McKinsey Institute, the manufacturing, healthcare, trade, administration and control of individual movements undergo the transformations under the influence of the Big Data.
Analytical review of medical mobile diagnostic systems
(Commission of Motorization and Energetics in Agriculture, 2016) Kordiyak, D.; Shakhovska, N.
This article analyzes the mobile medical diagnostic systems and compare them with the proposed HealthTracker system based on smart watch Apple Watch. Before the development of the system HealthTracker, there was conducted a review and analysis of existing similar systems to identify common and distinctive features of the future system. This analysis will improve HealthTracker system, based on the strengths and weaknesses of existing systems and help identify and justify the key benefits and unique system HealthTracker. The main goal is to provide a system HealthTracker convenient way to interact with the patient the doctor based on the vital signs of the patient. Apple Watch is an excellent watch presented in 2014 that has the capacity to collect and compile data on the health of the user and can be used for medical purposes. The main hardware components of the watch for collecting and analyzing health data is a technology Taptic Engine, infrared sensors and pulse. The main software components of the watch, that will be used in the design of the system is the 3 applications, each of which measures a user's vital signs. Integration with smartphone user makes data on the health of a quick and reliable. On the market today there are analogues of the system, but most of the systems are relatively new and require many improvements, some are under development prototypes. In addition, all the above systems require binding to certain equipment that is not always convenient in everyday use. To eliminate all the inconvenience in using existing systems need to create a system that is integrated into smart watches that provide ease of use, and the mechanism storing and analyzing medical data to cloud storage. An important aspect of the study is to analyze the general situation in the market of mobile medical diagnostic systems. Thanks to research the key advantages and disadvantages of the proposed mobile medical analysis system and shows its versatility compared with existing systems on the market.
The method of automatic summarization from different sources
(Commission of Motorization and Energetics in Agriculture, 2016) Shakhovska, N.; Cherna, T.
In this article is analyzed technology of automatic text abstracting and annotation. The role of annotation in automatic search and classification for different scientific articles is described. The algorithm of summarization of natural language documents using the concept of importance coefficients is developed. Such concept allows considering the peculiarity of subject areas and topics that could be found in different kinds of documents. Method for generating abstracts of single document based on frequency analysis is developed. The recognition elements for unstructured text analysis are given. The method of pre-processing analysis of several documents is developed. This technique simultaneously considers both statistical approaches to abstracting and the importance of terms in a particular subject domain. The quality of generated abstract is evaluated. For the developed system there was conducted experts evaluation. It was held only for texts in Ukrainian. The developed system concluding essay has higher aggregate score on all criteria. The summarization system architecture is building. To build an information system model there is used CASE-tool AllFusion ERwin Data Modeler. The database scheme for information saving was built. The system is designed to work primarily with Ukrainian texts, which gives a significant advantage, since most modern systems still oriented to English texts.

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