The Mobile Application Development Based on Online Music Library for Socializing in the World of Bard Songs and Scouts’ Bonfires

Rusyn, Bohdan; Pohreliuk, Liubomyr; Rzheuskyi, Antonii; Kubik, Roman; Ryshkovets, Yuriy; Chyrun, Lyubomyr; Chyrun, Sofiia; Vysotskyi, Anatolii; Basto‐Fernandes, Vitor

doi:10.1007/978-3-030-33695-0_49

Cited by 12 publications

(5 citation statements)

References 42 publications

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“…The design stage is chosen by designing the user interface [20]. User interface design is the design for software, computers, equipment, machines, and websites that focuses on the user experience and interaction [21].…”

Section: Designmentioning

confidence: 99%

Design and Implementation of Travel Agent in the Face of the COVID-19 pandemic

et al. 2021

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The tourism agent information system is an information system that brings together people who need tourism agents with tourism agent providers. This information system contains offers of tourism packages in several well-known tours that are often visited, this system is also available with request packages which will be directed to the admin to confirm with the desired request package. This system does not only contain offers about tour packages but also provides information and education about these tours, making it easier for users to choose the desired tour packages because they have received education or an overview of the tour. The development stages implemented include surveys, needs analysis, dedication, and implementation. Surveys and needs analysis serve as stages used in finding target users and their needs. User Interface Design is used to make user interaction as simple and efficient as possible, in terms of achieving user goals or what is often referred to as user-centered design. Conversion of the user interface design is done by choosing the right programming language on the web and generating an information system.

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Section: Designmentioning

confidence: 99%

Design and Implementation of Travel Agent in the Face of the COVID-19 pandemic

et al. 2021

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“…Thus, in order to compare the authorship of two texts, it is enough to compute the parameters and determine the distance for them [88]. To associate a text with the author, the vectors the author's parameters and of the text are compared, that is, actually, two texts are compared again -a text, the author of which is known (the reference text), and the text, the authorship of which is necessary to identify, confirm or refute (analyzed/ researched text) [89]. The vectors of formal parameters that recognize not specific authors (or groups), but rather distinguish certain characteristics of authors (for example, educational level) are constructed [90].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution

Lytvyn

Vysotska

Budz

et al. 2019

EEJET

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Розглянуто особливостi застосування технологiй лiнгвостатистики для iдентифiкацiї стилiстики автора текстового контенту науково-технiчного профiлю. Квантитативний лiнгвiстичний аналiз тексту використовує переваги контент-монiторiнгу на основi методiв NLP для визначення та аналiзу множини стопових слiв, ключових слiв, стiйких словосполучень та дослiдження N-грам. Останнi використовують в методах лiнгвометрiї для визначення приналежностi аналiзованого тексту конкретному авторовi у вiдсотках. Розроблено квантитативний метод автоматичного визначення авторства текстового контенту на основi статистичного аналiзу розподiлу 3-грам. Запропоновано пiдхiд реалiзацiї визначення автора україномовного тексту науково-технiчного профiлю. Отримано експериментальнi результати запропонованого методу для визначення приналежностi аналiзованого тексту конкретному автору за наявностi еталонного авторського тексту. Застосування лiнгвостатистичного аналiзу 3-грам до множини статей дозволить сформувати пiдмножину подiбних за лiнгвiстичними характеристиками публiкацiй. Накладання на пiдмножину додаткових умов у виглядi проведення статистичних та квантитативних аналiзiв (множини ключових слiв, стiйких словосполучень, стилеметричного, лiгвометричного тощо) дозволить значно скоротити цю пiдмножину, уточнивши список ймовiрнiших авторських робiт. Для якiсного та ефективного аналiзу контенту при визначеннi ступеня авторства конкретному автору пропонуємо аналiзувати еталонного тексту та дослiджуваного в декiлька етапiв: лiнгвометричний аналiз коефiцiєнтiв рiзноманiття авторського мовлення, стилометричний аналiз, аналiз стiйких словосполучень, лiнгвостатистичний аналiз 3-грам. Для автоматизованого опрацювання тексту має велике значення не тiльки частота появи тiєї чи iншої категорiї, а взагалi присутнiсть в дослiджуваному текстi. Кiлькiсний пiдрахунок дозволяє зробити об'єктивнi висновки щодо спрямованостi матерiалiв за кiлькiстю уживань одиниць аналiзу в дослiджуваних текстах. Якiсний аналiз робить те саме, але внаслiдок дослiдження того, чи зустрiчається (i в якому контекстi) певна важлива оригiнальна категорiя взагалi Ключовi слова: NLP, контент, контент-монiторiнг, стоп-слова, контент-аналiз, статистийний лiнгвiстичний аналiз, квантитативна лiнгвiстика, статистична лiнгвiстика, лiнгвометрiя UDC 004.

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“…Streaming de-duplication should be viewed as an upgrade target de-duplication. The first has all the advantages of the latter, but no lack of work associated with a slow drive (Rusyn et al, 2020;.…”

Section: Data De-duplicationmentioning

confidence: 99%

“…System analysis will divide the task set before us on the set of simple tasks, given the relationship simpler tasks among themselves Fedushko, 2014;. So complex system is divided into components and with well-formed business processes between parts of the product (Rusyn et al, 2016;Tkachenko et al, 2018;Rusyn et al, 2020).…”

Section: Analysis Of Known Systemsmentioning

confidence: 99%

Untitled

2019

WEB

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The system for backing up the data is designed. Client software works on the computer of user, takes all the necessary files for backup, and turns them into Stream of bytes. Then breaks it into blocks (from 32 KB to 64KB) using a Rabin algorithm. It is based on hash ring that is absorbing every incoming byte if the current hash mask or equal to a certain reach 64KB, there is division committed. This approach helps to avoid is coping all data if the content of a file has changed in separately. For each data block client software calculates the http://www.webology.org/2019/v16n2/a188.pdf hash. Then sends parts even 256 times or more of those hashes to the server and checks if they already know the system. The blocks are not known, refers to the server. As part of the de-duplication, data on distribution and cloud distribution occurs on hashes, hashes are SHA-1, so that 20 bytes are given in hexadecimal format. First number or letter and will serve key distribution. So essentially, you can evenly distribute the data among the workers from 2 to 16 pieces. You need to take the second number of hash, and more commit distribution.

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The Mobile Application Development Based on Online Music Library for Socializing in the World of Bard Songs and Scouts’ Bonfires

Cited by 12 publications

References 42 publications

Design and Implementation of Travel Agent in the Face of the COVID-19 pandemic

Design and Implementation of Travel Agent in the Face of the COVID-19 pandemic

Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution

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