JSON Documents Processing Using Situation-Oriented Databases

Mironov, V.V.; Гусаренко, Артем Сергеевич; Yusupova, Nafisa; Smetanin, Yuriy

doi:10.12700/aph.17.8.2020.8.3

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…An alternative to multilevel technology is the use of embedded dynamic models in Internet applications [6]. An approach is known that includes obtaining characteristics of user actions (user login, mouse movement, average time between pressing a mouse button and the beginning of cursor movement, typing speed, etc.).…”

Section: Discussionmentioning

confidence: 99%

Dataset of User Reactions When Filling Out Web Questionnaires

Magomedov

Ilin

Silaeva

et al. 2020

Data

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This paper presents the dataset and the results of the analysis of user reactions when filling out questionnaires. Based on the analysis of 1980 results of users’ responses to simple questionnaire questions, patterns in user reactions were revealed. Data analysis shows that a user is characterized by reactions when answering a variety of questions, reflecting the individual skills of the interface, reading speed, speed of choosing an answer, which can be used to supplement personal verification in information systems. The built-in reaction time does not significantly load the data volumes for logging and transferring and does not contain confidential information. The data would be of interest for further research by specialists in the field of psychology, information security, and information systems design.

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Section: Discussionmentioning

confidence: 99%

Dataset of User Reactions When Filling Out Web Questionnaires

Magomedov

Ilin

Silaeva

et al. 2020

Data

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“…Where the key refers to the name of the variable and the value data can be a string, number, array, object, etc. (Mironov et al, 2020) (Lee et al, 2021). Arduino JSON is a library that can be used to connect and exchange information data from the microcontroller to web service or between other microcontroller boards through serial protocol communication (Blanchon, n.d.).…”

Section: Methodsmentioning

confidence: 99%

Relay Driver Based on Arduino UNO to Bridge the Gap of The Digital Output Voltage of The Node MCU ESP32

Yulianto

2023

EMACS Journal

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The IoT could control the devices that need a high current voltage to operate. The voltage control here means that the IoT could give the command to turn on and turn off the electric current by using a relay module. One of the devices that are most frequently used in many research projects is Node MCU ESP8266 and Node MCU ESP32. Those microcontrollers work with the maximum supply is 3.3-volt direct current (DC). On the other hand, the relay module commonly needs a voltage supply of 5-volt DC and the relay needs to be controlled by a single transistor to make a trig on. The relay will be active when the transistor’s basis pin is grounded into the ground, so the relay will get the current flow. However, the relay module which is controlled using Node MCU could not work properly, caused Node MCU only provides the digital out is 3-volt maximum from its digital Input Output pins (I/O). Meanwhile, the driver relay based on a single transistor needs a bias input amount of 5 volts to make the relay module active well. If the bias voltage doesn't reach 5 volts or just 3.3 volts will make the relay can't switch on properly which can result in bad contact. To overcome that problem this research proposed the driver relay based on Arduino UNO. The novel of this research is adding the Arduino UNO module between Node MCU and the relay module which has task to bridge the voltage difference between the output digital output ESP that only maximum 3.3 volt converted by Arduino to be digital output which can reach the voltage of 5 volt. The Arduino JSON library was also involved to wrap the commands that produced by Node MCU then deserialized on Arduino to parse and convert to be digital output to control the relay module.

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“…В основе методики лежит следующая идея: качество анализа данных зависит от знания и понимания идеальной картины разработки месторождения, а также целевых показателей (например, по снижению темпов падения добычи). Это означает, что ответственный руководитель должен знать, как должна выглядеть сфера деятельности, в данном случае развитие сферы с рациональной и логической точки зрения [3][4][5][6].…”

Section: рис 2 этапы внедрения методики управления качеством данных F...unclassified

Development of a Data Quality Management Methodology Based on Logical-Semantic Digital Double

Павлович¹,

Dron²,

Куликов³

2023

CTAC&R

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Data quality is a key issue in decision support systems. The urgency of the problem is due to the fact that the introduction of corporate information systems, digital technologies and digital twins requires strict synchronization and updating of a large amount of data. Management decisions depend on big data. The use of data containing one or more logical errors can lead to incorrect decisions and large losses for the enterprise. Aim. The aim of the study is to develop a classification of data that takes into account the production profile, types of data in production, the formal structure of business processes for each type of data based on the proposed logical-semantic architecture of the digital twin for data quality control. The theoretical and methodological basis of the study are the works of domestic and foreign scientists on the problems of managing digital platforms and digital transformation and digital twins of the enterprise. Results. In the course of the study, the classification of the main logical-semantic factors of poor-quality data provision was generalized and systematized, and a methodology for assessing data quality was presented. Business processes for collecting, storing and processing are formalized for each type of data and one responsible person is identified for the relevant business processes, as well as competency requirements for individual responsible persons and a tool for data quality control are developed. As a result, an approach based on the logical-semantic architecture of the digital twin for data quality control is proposed. Conclusion. In modern realities, logical filtering of a huge amount of redundant data in decision support systems (DSS) is necessary. Digital twins (DTs) in decision support systems can provide high quality of initial digital data for PPR. This article presents an integrated approach to data quality management based on their logical-semantic digital twins when creating an effective decision support system using the example of oil and gas companies. Data quality management based on the use of logical-semantic digital twins ensures the usefulness of digital data.

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JSON Documents Processing Using Situation-Oriented Databases

Cited by 9 publications

References 9 publications

Dataset of User Reactions When Filling Out Web Questionnaires

Dataset of User Reactions When Filling Out Web Questionnaires

Relay Driver Based on Arduino UNO to Bridge the Gap of The Digital Output Voltage of The Node MCU ESP32

Development of a Data Quality Management Methodology Based on Logical-Semantic Digital Double

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