Information Data Research Articles

METHOD FOR DETERMINING THE RATIONAL NUMBER OF UAV FLOTILLA TAKING INTO ACCOUNT THE RELIABILITY OF THE AIRCRAFT

The conducted studies showed that projects of analysis and assessment of emergencies at critical infrastructure facilities have been initiated in Ukraine and abroad. The purpose of such a system is the formation of data for the development of architecture, demonstration analytics and a prototype of decision support capabilities, taking into account the use of currently available data and analytical methodologies. Unmanned aerial vehicles (UAVs), which work with ground and air control points in emergencies, are planned as the basis for the construction of such a system. The subject of the study is methods of determining the rational number of UAV flotillas taking into account the assigned tasks and characteristics. Currently, there is no method for determining the rational number of a UAV flotilla, taking into account the reliability of the aircraft. An urgent scientific and technical task is the task of creating a rational number of the UAV flotilla, taking into account the reliability of the aircraft and the necessary quality of monitoring the situation in emergencies. The purpose of the article is to develop a method for determining the rational number of UAV flotillas taking into account the reliability of the aircraft and the necessary quality of monitoring the situation in emergencies. Research methods – provisions of risk theory, probability theory, combinatorics, mathematical apparatus of reliability theory, mathematical methods of optimization. Research results: an analysis of factors affecting the structure of the UAV grouping was carried out; the dependence of task performance on the probability of UAV failure under the influence of interfering factors was obtained; it is shown that in conditions with a low impact of interfering factors, the reliability of individual UAVs does not have a significant impact on the performance of assigned tasks. It has been established that with increasing influence of interfering factors, the probability of completing tasks depends on the reliability of the aircraft. Conclusions: The proposed method makes it possible to create a rational number of UAV flotillas taking into account the reliability of the aircraft and the necessary quality of monitoring the situation with a rational number of UAVs in emergencies.

Application and research on trajectory big data

In the era of big data, the formation of massive trajectory data of moving objects with rich Spatio-temporal feature information can mine data such as human activity patterns and behavioral characteristics through trajectory data processing technology. This paper and analyzes the concept of trajectory data, the application process and the research results. Firstly, this paper briefly describes the trajectory data. Secondly, it outlines the supporting techniques of trajectory data, including data cleaning, integration, and transformation. Next, it introduces the classification steps of trajectory data mining, including using the segmentation method to segment the data, extract features from the segments; besides, it models and studies the predicted questions in this topic. Then it briefly introduces the application method of trajectory data mining in data privacy and the application of trajectory data in the transportation field. Finally, the paper summarizes the challenges and future research directions of trajectory data processing.

Methods and hardware to accelerate the work of a convolutional neural network

Three main approaches to building computer systems are analyzed and allocated: software, hardware, and problem-oriented. A problem-oriented approach was chosen for the implementation of CNN. This approach uses a processor core with hardware accelerators that implement basic CNN operations. The development of computer systems for the implementation of CNN should be carried out based on an integrated approach. This approach includes a modern element base, existing hardware, and software for the implementation of the CNN; methods and algorithms for the implementation of CNN; methods, algorithms, and VLSI structure for the implementation of basic operations of the CNN; methods and means of computer-aided design of hardware and software focused on the implementation of CNN computer systems. For the development of computer systems for the implementation of CNN chosen approach, which includes: variable composition of equipment; use of the basis of elementary arithmetic operations; organization of the process of calculating the scalar product as execution single operation; pipeline and spatial parallelism; localization and simplification of links between the steps of the conveyor; coordination of the time of formation of input data and weighting coefficients with the duration of the conveyor cycle. It is shown that in order to reduce the processing time of large images, it is most expedient to use parallel-stream VLSI -implementation of basic operations. The modified Booth algorithm for forming partial products in a parallel-threaded computing device is selected, which decreased the number of steps in the pipeline. The method of group summation has been improved, which, with multi-input single-digit adders, combined according to the principle of the Wallace tree, provides a reduction in summation time. The method of parallel-flow calculation of scalar product in a sliding window is developed, which, by coordinating the time of receipt of columns of input data and weighting coefficients with the duration of the conveyor cycle, provides high efficiency of equipment use and calculations in real-time. The main ways regarding coordination of the time of receipt of input data columns and weighting coefficients with the duration of the conveyor stroke of hardware that implement two-dimensional convolution are determined. The hardware structure for the realization of two-dimensional convolution in a sliding window, which is focused on VLSI- implementation with high efficiency of equipment use, has been developed. Programmable logic integrated circuits selected for the implementation of hardware accelerators. Single-bit 7, 15, and 31 input adders were developed and modeled on the basis of FPGA EP3C16F484 of the Cyclone III family of Altera company, and an 8-input 7-bit adder was synthesized on their basis.

METHODOLOGICAL PRINCIPLES OF THE ORGANIZATION OF REAL ESTATE OBJECTS IN THREE-DIMENSIONAL CADASTЕRS

The purpose of the article is to study methodological provisions for the organization of real estate objects in the three-dimensional cadastre. The principles of combining two-dimensional information about land plots and three-dimensional information about real estate objects, taking into account legal information about each element of the system, are determined. Special attention is paid to the principles of selection and implementation of the geospatial data base of the three-dimensional cadastre system. This database of geospatial data is based on modern developments and effective tools. The three-dimensional cadastral system is responsible for registering the legal status of real estate objects and has the ability to provide this information to clients in the future. The increase in the use of space under and above the surface of the Earth presented the cadastral system with the need to determine and store information about objects of the real world under and above the surface. Entitlement to specified objects is still registered using 2D surface areas. In the third dimension, it is important to be able to penetrate into the actual situation, which is determined by the factor of confirming the legal status of the land plot or real estate object. Therefore, the developed three-dimensional cadastre system provides an opportunity to collect, model and store, request and visualize data on real estate objects under and above the surface in combination with already existing two-dimensional data on land plots. With the help of the specified proposals of the tool of the three-dimensional cadastral system, it is possible to use real estate objects more effectively, taking into account rights and restrictions. Thus, the study presents methodical regulations on the organization of real estate objects in the three-dimensional cadastre. The principles of combining two-dimensional information about land plots and three-dimensional information about real estate objects, taking into account legal information about each element of the system, are determined. Special attention is paid to the principles of selection and implementation of the geospatial data base of the three-dimensional cadastre system. This database of geospatial data is based on modern developments and effective tools. To access data and view query results, a viewer will be built on top of the geospatial database. It also looks at how data can be viewed administratively: as two-dimensional (traditional GIS interface) and three-dimensional (perspective, stereo) and in combination with each other in the same environment. The studied provisions make a significant contribution to the development of cadastral systems, the formation of cadastral data, the creation and management of geospatial databases of three-dimensional cadastre. Keywords: land plot parameters, three-dimensional cadastre, cadastral data, legal restrictions, real estate object, geospatial database, real estate registration.

Investigation of Efficient Backup Tecniques To Reduce Late In Cloud Systems: A Modeling Study

From the formation stages of the information society to the present day, new developments have been experienced in many areas such as data formation, processing, storage and sharing of data in electronic environments. In this context, many new technological concepts have been included in our lives. When it comes to data storage environments, the concept of "Cloud Computing", which has been developing and increasing in popularity in recent years, comes to our minds. Cloud computing, with its known definition, is an internet-based technology service that provides access to the data stored on its servers at any time through internet access and allows users to benefit from the services offered by the system to the extent they want. While the advantages of cloud computing systems such as low cost, high performance, not requiring physical materials and being flexible can be mentioned, it is also emphasized that it brings many problems in terms of system. The most important of these problems; the lack of resources in cloud computing service providers, causing unpredictable delays in server response times. Based on all this information, this research is structured on the development of solution processes on these delays. In this sense, it is possible to consider three areas of cloud infrastructure; cloud computing, distributed storage and streaming communications. One of the first solutions that comes to mind is duplicating a task on multiple machines and waiting for the earliest copy to finish can reduce service latency; but intuitively, it costs additional computing resources and increases the queue load on servers. In this context, the effect of redundancy on the tail will be analyzed in the first part of the research. As a solution proposal, in this section, it will be discussed that service delays and queue load can be reduced by using the replication method, thus making the system more efficient. In a similar way, by requesting more than one copy of a file and waiting for any of them to arrive, the cloud storage requests will be accelerated for content download. In the second part of the research, generalization will be made from replication to coding and the (n, k) fork-join model will be studied to analyze the delay in accessing a storage system with (n, k) deletion code. This analysis will provide practical information that several users can access a content at the same time and provide faster service to the relevant users. Achieving low latency in streaming communication is even more difficult, as packets must be transmitted quickly and sequentially. Based on this structure, in the third part of the research, it is aimed to develop deletion codes to transmit redundant packet combinations and ensure smooth playback. Experimental modeling method was used as a research method in the study. In general, the aim of the research is to blend various mathematical tools from queuing, theory coding and renewal processes. It is foreseen that the techniques and insights to be developed with these dimensions of the research can be applied to other systems with stochastically changing components, and integrated studies can be made and contribute to the literature in this context.

Анализ систем менеджмента по международному стандарту ISO 45001:2018

The issues of ensuring the safety of labor process do not lose their relevance. The tendency of regular occurrence of the events with extremely negative, resonant consequences in the field of ensuring industrial safety is typical both for the whole world and for the Russian Federation in particular, for example, in the field of industrial safety. The work on improving the efficiency of existing risk management measures in the field of industrial safety, occupational safety and other related areas can proceed at various levels of management, from the level of the relevant federal executive authorities to the level of operating organizations. It also includes the activities on improving the occupational health and safety management systems developed in accordance with the requirements of the international standard ISO 45001:2018. The most important element of the management and improvement of the the occupational health and safety management system is a regular analysis of the functioning of the system, the results obtained, and the current state of affairs. The requirements are considered related to the process of analyzing the functioning of the occupational health and safety management system based on the international standard ISO 45001:2018. The recommendations are given on the formation of full-fledged input data for conducting an analysis of the management system functioning in terms of the timing and frequency of its implementation, the attention is focused on the need for careful compliance with the requirements for registering the results of the analysis and informing the staff about its results. An analogy is given in the requirements for conducting the analysis of functioning the management system formulated in the international standard ISO 45001:2018, and the Russian regulatory legal acts in the field of industrial and occupational safety. It is concluded that a full, scrupulous, comprehensive analysis of the functioning of the occupational health and safety management system is an opportunity to improve the state of affairs in the field of the production safety.

CHARACTERISTICS OF THE METHODS OF ASSESSING THE LEVEL OF THE SHADOW ECONOMY AND PROBLEMS OF THEIR MEASUREMENT

The article considers systematic approaches to assessing the shadow economy's level, substantiating their advantages and disadvantages. Researching methods to evaluate the level of the shadow economy is an essential task because the shadow economy includes illegal or incompletely officially registered economic activities. Such activity is not subject to taxation and regulation, which can lead to loss of state income and impact macroeconomic stability. Unregulated markets of the shadow economy guide to the exploitation of workers, insufficient social protection, and violation of workers' rights, which negatively impacts social justice. Understanding the extent of the shadow economy helps identify problem areas and regulatory gaps, which can lead to more effective policy measures to combat the shadow economy and stimulate economic growth. The methods used in Ukraine to determine the volume of the shadow economy and methodological approaches proposed by foreign scientists are analyzed. Determining the shadow economy's level remains a difficult task, and there is no universally recognized approach to its assessment. Different methodological approaches can produce different results due to the hidden and unregulated nature of the shadow economy. The proposed direction of improving the acquisition of raw data (formation of an information database) is the development of innovative data sources: the use of new data sources, such as big data (Big Data), digital traces, patterns, social media, which can help to obtain more accurate and complete information about the shadow economy. Analysis of these data can provide new insights into the scope and features of unofficial activity considering contextual factors such as the country's political, economic, social, and cultural situation. This can help better understand the causes and consequences of the shadow economy, why people work in it, and what motivates them and what they earn. Including the indicator of the level of the shadow economy in official statistical data is essential for obtaining an accurate map of the country's economy. Keywords: shadow economy, micro methods, macro methods, integral indicator, gross domestic product, economic activity

Использование генеративно-состязательных нейронных сетей для расширения обучающих (тестовых) выборок

The article is devoted to the formation of the initial data set for training neural networks. The main methods of formation and expansion of training (test) samples are presented, in particular with the help of augmentation, mathematical modeling methods, as well as generative-adversarial neural networks. The principle of operation of GAN networks is considered, the algorithm of operation of the generator and discriminator according to the minimax game method, the Wasserstein method and the "penalty gradients" method is described. A digital simulation of the GAN network was performed using a minimax model trained on the MNIST dataset. Conclusions are drawn regarding the possibility of using the developed generative-adversarial neural network in order to expand the bank of training (test) samples.

Удосконалення обліку інвестиційної діяльності підприємства

The aim of the article is to study the current state of carrying out the investment and its impact on the formation of data on the investment activity of enterprise in the accounting system. In accordance with the set goal, the study solved the following tasks: systematize, closer define and supplement the theoretical foundations of investment policy at enterprises; identify current problems of investment policy at enterprises; propose scientific and practical ways to improve the accounting of investment activity of enterprise. During the analysis, systematization and generalization of scientific works of numerous scholars, the need for a comprehensive study of this issue was determined. As a result of the study, a scheme of dependence of the level of risk on the type of investment has been composed, the factors influencing the level of development of the investment policy of enterprise have been considered, the constituent elements of the accounting policy of investment activity of enterprise have been analyzed. Prospects for further research in this direction are to improve the accounting of investment activities of enterprises in any sector of the national economy, given that a new stage of Ukraine’s integration into the European and world communities has begun. Ensuring Ukraine’s integration into the modern global economic system as a technologically developed country with an appropriate level of development of investment policy in the industrial sector and an ensured accounting of investment activities should become a top national priority.

МЕТОД ТРИВИМІРНОГО ПАРАМЕТРИЧНОГО МОДЕЛЮВАННЯ ТИПОВОГО КРОНШТЕЙНА НА ОСНОВІ ПРИМІТИВІВ ЗА ДОПОМОГОЮ КОМП’ЮТЕРНОЇ ІНТЕГРОВАНОЇ СИСТЕМИ SIEMENS NX

Design of an analytical etalons of structural elements using computer technologies allows to reduce the costs creation, production and maintenance during its life cycle, to increase work productivity and ergonomics, which will finally increase the quality and competitiveness of manufacturedproducts.To increase the effectiveness of the three-dimensional modeling of aircraft structural elements at the initial stages of design was the general research problem to reach.The aim of the article was to develop the method of three-dimensional parametric modeling of a typical bracket based on primitives using the CAD\CAM\CAE\PLM SIEMENS NX computer integrated system; its’ implementation when creating a typical bracket; forming the method structure.The SIEMENS NX computer integrated system as a three-dimensional modeling system have been selected.Approaches to the analysis and simplification of the typical brackets’ structure have been shown. It was proposed to divide all sizes of the bracket into three groups according to the axes of the coordinatesystem. The development of the method was based on the Form Features typical elements (Block, Cylinder primitives) and Feature Operation typical operations (Edge Blend, Boolean Operations). The developed method includes: structural analysis; brackets’ structure simplification; selec-tion/analysis of a typical operations, Feature typical elements form; synthesis of properties of a typical elements and a simpli-fied brackets’ structure; formation of the initial data using Expression spreadsheet; modeling basedon the results of both analysis and synthesis according to a certain sequence; analysis of the analytical etalons.The method of three-dimensional parametric modeling of a typical structural element, such as a typical bracket, based on primitives have been developed using both the CAD\CAM\CAE\PLM SIEMENS NX computer integrated system and the Expressions spreadsheet and setting parameters during solid bodies creation. Up to 9-11 operations have been obtained for the typical brackets’ structure, which corresponds to a reduction in the number of operations on objects when creating a 3D parametric model with little time consumption. Only four commands have been used without losing the quality of the model, which led to the simplification of the modeling of the analytical etalon of the structural element and the possibility of rapid reconstruction.

Method of digital automatic design of grinding operations carried out on CNC cylindrical grinding machines

Based on the literature review, the problem is formulated, which consists in the absence of detailed recommendations for the design of grinding operations for CNC cylindrical grinding machines. This paper provides a solution to the problem described above using the developed method, which includes: the formation of initial data, the formation of grinding cycles, and the calculated determination of cycle parameters.

Automating the formation of statistical data on the results of research activities of the university

The paper considers the formation of the concept of scientific research (SR) of universities with the task of developing an automated tool for evaluating its results. Modern requirements and trends in the organization and management of scientific research work in universities are given. The role of information support and measurement procedures in assessing the results of scientific research are emphasized. The necessity of automating the processes and reporting data of university scientific research is substantiated. An analysis of works and publications on the automation of assessment of research work of universities is provided. Names of university research activity report data are systematized and described. The model of the process of forming the university research reports is presented, which will ensure the effectiveness of information support of scientific research.

Media resources in video information systems

The article describes methods for increasing the contrast of images in video information systems, the main compression of the video stream is provided by eliminating inter-frame redundancy using methods for compensating the movement of image fragments of adjacent frames. However, the use of motion compensation methods requires the formation of additional data (metadata) containing information about the types of image blocks used, their movement coordinates, etc. At the same time, in order to increase the compression of the video stream without sacrificing its quality, a higher accuracy of motion compensation is required, which leads to an increase in the number of blocks and, accordingly, an increase in the volume of the video stream metadata that reduces the effectiveness of motion compensation. This is the main problem of compressing streaming video without compromising image quality. In addition, higher positioning accuracy of blocks with motion compensation dramatically reduces the speed of image processing, which is not always feasible in real-time systems.

ФУНКЦІОНАЛЬНИЙ ФІНАНСОВИЙ БЕНЧМАРКІНГ НА СТРАХОВОМУ РИНКУ УКРАЇНИ

The article determines the importance of benchmarking as a tool for forming strategic decisions in the insurance business at the current stage. Functional benchmarking of financial parameters was chosen as an applied component of the study. Insurance companies as financial institutions operate exclusively with cash flows, which explain the approach chosen. Each sector of the Ukrainian economy has suffered from the war with russia. But the depth of losses and the time of the fall in individual industries differed significantly. The conducted analysis showed that the losses of the insurance business were immediate and very significant. Inefficiency and low financial stability were characteristic of most insurers in Ukraine even in the pre-war period. The market falls during the war only emphasized the previously accumulated problems. Benchmarking of financial parameters of TOP10 insurance companies was carried out based on real data of the non-life insurance sector. The first half of 2022 was chosen for the analysis, which is explained by heavy market and financial losses (related to the war) of all insurance market participants. A methodological problem (formation of statistical data and their systematization) was identified during the research. The methodological approach of conducting functional financial benchmarking, which was formed by the authors, made it possible to eliminate this problem. The main compared financial parameters, sources of initial information and presents the benchmarking procedure are defined. The basic financial parameters in comparison allow us to identify the strengths and weaknesses of the activities of insurers in today’s difficult conditions. The analysis showed that the market is in the conditions of a liquidity gap, which arose due to a sharp decrease in the receipt of insurance premiums and an increase in insurance payments. The problem of low capitalization, which is a common threat to all market participants, was identified. The problem of low efficiency also occurred in the pre-war period and worsened during the war. It is possible to predict a decrease in the number of market participants under the influence of the outlined problems in the near future. A number of solutions for overcoming crisis manifestations in the insurance market in the war and post-war periods are suggested in the article.

МОДЕЛЮВАННЯ СУДОВО-ЕКОНОМІЧНОГО ЕКСПЕРТНОГО ДОСЛІДЖЕННЯ

The article is devoted to the issue of developing a unified conceptual approach to the creation and adaptation of procedures and methods formalized to the object of forensic-economic expertise. The relevance of the research is determined by the need to systematize methods of forensic economic expertise adjusted to common or individual tasks that need to be solved during the pre-trial investigation or trial. The article analyzes the correlation between the tasks of a forensic expert as perception of the nature of criminogenic processes reflected in the system of accounting and methods of examination. The methodical approach was elaborated and the system of individual methods related to the algorithm of solving the problem of forensic economic expert through their procedures was modeled. Interaction of elements of the given model in the direction of their formalization presupposes the solution of individual forensic examination tasks, taking into account the nature of initial information about the object of forensic economic examination, its description on the basis of the formalized form. The proposed modeling of the expert examination process logically connects together the expert’s tasks, methods and the theoretical basis for the application of relevant procedures that are aligned with the overall goal of forensic economic examination. The results of expert examination process are logically concluded in the expert’s report. The presence of necessary condition to apply the proposed model of forensic economy expertise is proven, which include the creation of formalized description of the object branch of expertise - illegal (lawbreaking) activity and its reflection in the system of accounting. The main advantages of application of the forensic accounting model is creation of additional information possibilities to assess efficiency of the accounting system organization, efficiency of its control function as well as formation of restorative function and formation of reference and analytical data on reaction to unlawful actions of responsible persons. Practical results of application of methodological basis for construction of expert economic research taking into account the suggested scientific logic of its realization are new possibilities of generalization of practical activity of forensic experts in the area of research of economic offences, disclosure of potential of the whole set of instruments to perceive the object of forensic economic expert examination acquired by practice.

Economic risks in the activity of agro-industrial complex enterprises in conditions of import substitution

The scientific article is devoted to the study of economic risks in the activities of enterprises of the agro-industrial complex in the context of import substitution. The purpose of the scientific research is to identify critical risks in the activities of enterprises of the agro-industrial complex in the context of import substitution and to substantiate possible measures to level them. When preparing a scientific publication, general scientific (observation, comparison, measurement, analysis and synthesis, the method of logical reasoning) and specific scientific methods (static analysis, peer review, graphical method, Foresight's "4 worlds" method) were used. Results: the critical risks for the normal functioning of agro-industrial enterprises are: 1) the occurrence of a shortage of seed material; 2) raw material dependence of manufacturers of plant protection products against pests; 3) the critical dependence of the Russian agro-industrial complex on the import of feed additives and vaccines aimed at realizing the genetic potential of animal breeds; 4) degradation of the genetic fund of biological assets bred in animal husbandry with insufficient experience in genetic modeling and domestic selection; 5) technological dependence of the digitalization of business processes in the agro-industrial complex on technology transfer and a decrease in innovative activity in agribusinesses. The main efforts to resolve the existing risks are: active support for domestic seed producers through the provision of tax incentives and other regulatory preferences; creation of a national standard for the formation and storage of data - Big GeoData, which will become the basis for the formation of the domestic market of digital agricultural technologies; creation of full-fledged domestic productions based on gaining access to technologies for the creation of plant protection products and tracking the latest developments by

Застосування непараметричних методів оцінки ефективності діяльності закладів первинної медико-санітарної допомоги

The medical reform carried out in Ukraine in recent years has led to the emergence of a number of managerial problems faced by the heads of health care institutions. Now they are forced to perform the entire scope of management functions, including the assessment and analysis of performance of the headed institutions. The article poses the problem of inconsistency of the arrays of primary data for assessing and analyzing the efficiency of health care institutions and secondary economic and statistical models of processing these data in order to useful information support regarding the actions of the management of institutions. The structure and content of primary data do not fit any model of further processing due to the non-compliance of the system for collecting arrays of primary data with the key requirements and principles of forming such arrays. The purpose of the article is to identify, on the basis of the calculation experiment, the key problems of domestic approaches to the formation of primary data for the use of non-parametric models for assessing the performance of health care institutions and to develop recommendations for solving these problems. To solve the tasks set, the world experience on the effective application of non-parametric models for evaluating the effectiveness of health care institutions was analyzed, the appropriate factual material was selected and a calculation experiment was carried out to establish a simple causal relationship between the indicators of evaluation of health care institutions, which are components of statistical accounting indicators approved by the State in this sphere. It is found that currently a very large number of indicators are used for evaluation, with excessive use of cost effectiveness indicators, while the statistical relationship of the behavior of indicators against each other is insignificant or absent altogether because the dominant principle of the selection of indicators is statistical availability and regularity of initial data. The main directions of solving the indicated problem are: changing approaches to the formation of primary indicators for the activities of health care institutions in general, necessarily basing not on the simplicity of their calculation, but on the requirements of models of further economic and statistical processing; structuring of the primary information base according to the directions of institutional interaction at the local level and uniform filling with appropriate and adequate assessment indicators by each of the directions.

Neurogastronomy: Factors Affecting the Taste Perception of Food

Neurogastronomy is a new formation that includes many researches to provide a connection between gastronomy and neurology. The existence of biological, emotional and cultural factors as flavor in the brain can be explained as neurogastronomy. The data received with the five senses are collected in the brain and perceived in its relevant parts. Research on what kind of perception is created with the formation of missing sensory data in the brain has been increasing day by day. In addition, by considering the different reflections of sensory data from reality, it is examined how they lead to perceptions in the brain. Plate design is very important in terms of visual presentation. What kind of an effect the presentation types of plate design have on customers and what kind of plate design they prefer is a matter of curiosity for researchers. Every stage of life continues in the light of technological developments. One of these technological developments is virtual reality. With the use of virtual reality in the field of neurogastronomy, it is possible to simulate the senses differently. This situation creates the possibility of causing different perceptions in the brain. In this study, neurogastronomy, the concepts of taste and flavor and the parameters affecting the perception of taste were addressed, the studies on the effect of plate presentation and atmosphere were examined, and information was conveyed by making a comprehensive literature review.

Master Data Management using Record Linkage Toolkit for Integrating Lecturer Master Data

Merging databases from different data sources is one of the important tasks in the data integration process. This study will integrate lecturer data from data sources in the application of academic information systems and research information systems at the Sriwijaya State Polytechnic. This integration of lecturer data will later be used as a single data as master data that can be used by other applications. Lecturer data in the academic section contains 444 records, while those from the p3m section contain 443 records. An important task in the database merging process is to eliminate duplicate records. One of the important libraries in the formation of this master data management uses the record linkage toolkit which is implemented in the python programming language. The steps taken are pre-processing, generating candidate record pairs, compare pairs, score pairs, and finally the data link to merge the two data sources. In this study, 5 fields, namely username, name, place of birth, date of birth, and gender, from each data source were used to measure the level of record similarity. The result of this research is the formation of lecturer master data from the merging of the two sources.

Application research of computer big data informatization technology in oilfield mining automation system

Science and technology are developing continuously, and oilfield exploitation has gradually realized informatization and automation. In order to meet the needs of the oilfield mining automation system and to better monitor the data in the oilfield mining process, the computer big data information technology application system has become an indispensable part of the oilfield mining operation enterprise. In this paper At the beginning, the status quo of the oilfield mining automation system is analyzed. In this paper, the role of the computer big data information technology automation system in oilfield mining is analyzed. This paper discusses the key points of the development and design of the automation system system. The ultimate purpose of this paper is to provide certain ideas for oilfield mining automation.