bluuebunny/crossref_metadata_2025 huggingface dataset:
The Life of the Reverent Stephan Makhrishchsky: on the Question of the Short Version of the Work
Authors: Прихотько Кирилл
Published: December 2021

В статье представлен результат текстологического исследования списков Краткой и Минейной редакций Жития прп. Стефана Махрищского. Уточняется датировка рукописи из собр. В. М. Ундольского № 235 (Отдел рукописей Российской государственной библиотеки), приводятся памяти русских святых и дни преставления князей, встречающиеся в святцах. Исследователь приходит к выводу, что составитель Краткой редакции произведения в качестве источника использует Минейную редакцию Жития. Значительно сокращается состав памятника. Новых сюжетов в текст не вводится. Незначительно редактируется лексика и синтаксические конструкции, что свидетельствует об устойчивой системе церковнославянского языка.

The article represents the result of a textological study of the lists of the Brief and Mineyna versions of the Life of St. Stephan Makhrishchsky. The dating of the MS 235 by Undolsky (Russian State Library) is specified, the memory days of Russian saints and the dates of death of princes, which are found in the calendar, are provided. The researcher comes to the conclusion that the compiler of the Brief version of the Works uses the Minea version of the Life as a source. The composition of the life story is significantly reduced. New plots are not introduced into the text. The vocabulary and syntactic constructions are slightly edited, thus demonstrating the stable systemic Slavonic language.
Canonicality/Variability in the Depiction of the Image of St. Sergius of Radonezh in Modern Children’s Hagiographic Literature
Authors: Зырянова Елизавета Сергеевна
Published: December 2021

Статья посвящена исследованию современной детской агиографической литературы, которая рассматривается на соответствие её жанровому агиографическому канону. Образ святого является ключевой фигурой текста жития, поэтому особое внимание отводится анализу художественных приёмов изображения праведника. Для житийных текстов, посвящённых святому Сергию Радонежскому, каноном может выступать древнерусское житие «Житие и чудеса преподобного Сергия игумена Радонежского» Епифания Премудрого. В статье анализируется образ преподобного Сергия Радонежского в житийной драме для детей Р. В. Кошурниковой «Дивен Бог во святых Своих. Сцены из жития преподобного Сергия Радонежского». Были рассмотрены речевая характеристика, внешний портрет и внутренний облик святого в пьесе, перечислены основные житийные топосы, выделены вымышленные эпизоды, исследованы принципы психологизма в пьесе Кошурниковой. С помощью сравнительно-сопоставительного анализа древнерусского жития Епифания Премудрого и житийной драмы Р. В. Кошурниковой была выявлена степень соответствия канону в изображении преподобного Сергия в пьесе. Вариативность в описании Сергия Радонежского, допущенная по отношению к средневековому житийному канону, во многом обусловлена фактором адресата - современного ребенка.

The article is devoted to a review of the actual problem of children’s reading and modern children’s hagiographic literature based on canonicity and variability, the factors for which are goal-setting, the nature of the addressee, topics, etc. In the article, we analyze the image of Sergius of Radonezh from the point of view of his canonicity and variability in a very new, for the modern reader, genre of clerical drama R. V. Koshurnikova «God is wonderful in His saints. Scenes from the Life of St. Sergius of Radonezh», using a comparative analysis of the canonical life of Epiphanius the Wise and the modern hagiographic drama of Rima Koshurnikova, we identified the variability of the image of a saint in a modern hagiographic work, which is due to the addressee factor - the child. The speech, external and internal portraits of the saint were considered, fictional episodes were highlighted, the motivation of the saint to commit this or that act was explained, which speaks of the psychologism of the protagonist.
Lexical discrepancies in Slavic and Russian translations of the Syntagma Canonum of Matthew Blastares
Authors: Малакаев Константин Николаевич
Published: December 2021

В статье рассмотрены некоторые лексические разночтения в славянских и русских переводах Алфавитной Синтагмы Матфея Властаря, византийского словаря по церковному праву XIV в. Разобраны такие разночтения, как «агапа - вечеря любви», «иконом - строитель - эконом», «причетник - клирик», «магия - волшебство - чародейство». На основе этих примеров показаны изменения в употреблении заимствованной лексики в переводах Синтагмы Властаря разных периодов, а также делается вывод о необходимости сопоставления различных вариантов перевода и обращения к греческому оригиналу с целью точного установления значения и смысла канонических норм и правил.

The article considers some lexical discrepancies in Slavic and Russian translations of the Syntagma Canonum of Matthew Blastares, a byzantine canonical collection of the 14th century. Such discrepancies as «агапа - вечеря любви», «иконом - строитель - эконом», «причетник - клирик», «магия - волшебство - чародейство». On the basis of these examples, changes in the use of borrowed vocabulary in translations of the Syntagma Canonum of different periods are shown, and it is also concluded that it is necessary to compare different versions of the translation and refer to the Greek original in order to accurately establish the meaning and meaning of the canonical norms and rules.
«Everyone is His Own King and Camel»: the Tradition of Derzhavin in the Poem by J. Brodsky «December 24, 1971»
Authors: Муравлёв Денис Петрович
Published: December 2021

В статье проводится сопоставление оды Г. Р. Державина «Бог» и стихотворения И. А. Бродского «24 декабря 1971 года» с точки зрения тематики, стилистики и композиции, а также определяются черты, позволяющие говорить о державинской традиции в данном стихотворении Бродского.

The article compares the ode of G. Derzhavin «God» and the poem of J. Brodsky«December 24, 1971» from the point of view of themes, stylistics and composition, and also identifies features that allow talking about the tradition of Derzhavin in this poem by Brodsky.
The Motif «My Strength is Made Perfect in Weakness» in N. V. Gogol’s Epistolary Heritage of the 1840s
Authors: Смирнов Василий Андреевич
Published: December 2021

Статья посвящена исследованию библейского мотива «сила Моя в немощи совершается» в письмах Н. В. Гоголя 1840х гг. Источником данного мотива является фрагмент Второго послания апостола Павла к Коринфянам. Определяются особенности авторской интерпретации апостольского послания, выявляются основные способы его включения в эпистолярий Гоголя (прямое цитирование, аллюзия).

The article is devoted to the study of the biblical motive «My strength is made perfect in weakness» in the letters of N. V. Gogol in the 1840s. The source of this motive is a fragment of the second epistle of the Apostle Paul to the Corinthians. The author defines the peculiarities of the author’s interpretation of the apostolic epistle, identifies the main ways of its inclusion in Gogol’s epistolary (direct citation, allusion).
Christianity in Bakhtin. (Chapter 1)
Authors: Каутс Рут
Published: December 2021

Настоящая публикация продолжает цикл переводов, цель которых - познакомить русскоязычного читателя с содержанием наиболее важных разделов исследования Рут Каутс (Ruth Coates) «Христианство в творчестве Бахтина» («Christianity in Bakhtin»). Во второй части вступления она перечисляет работы западных и российских исследователей творчества Бахтина (монографии, статьи, эссе), к выводам которых относится довольно скептически и разъясняет свою попытку оспорить некоторые трактовки и выводы, а также показать их надуманность и поверхностность. Наибольший интерес для нее представляют основательные исследования, и сама она настраивает читателя на свой комплексный и практичный подход в работе. В то же время, четко обозначая цель своего исследования, автор смело утверждает, что ей самой «чуждо православие», и в своём исследовании она совершает попытку ещё и углубить свои знания.

The present publication continues a series of translations that aim to introduce the Russian-speaking reader to the contents of the most important sections of Ruth Coates' study, Christianity in Bakhtin. In the second part of the introduction, she lists the works of Western and Russian scholars of Bakhtin's work (monographs, articles, essays) to whose conclusions she is rather sceptical and explains her attempt to challenge certain interpretations and conclusions and to show them to be far-fetched and superficial. She is most interested in solid research and sets the reader up for her comprehensive and practical approach to her work. At the same time, while clearly stating the aim of her research, the author boldly states that she herself is "alien to Orthodoxy" and in her research she also attempts to deepen her knowledge.
Bagaimana Intellectual Capital Mempengaruhi Kinerja Perusahaan Pada Perbankan Di Indonesia?
Authors: Sorongan Fangky A.
Published: December 2021

Perusahaan yang sukses adalah perusahaan yang terus berinovasi, mengandalkan teknologi baru dan menekankan pada keterampilan dan pengetahuan karyawan. Nilai tambah dapat dihasilkan dari sebuah aset yang tidak berwujud yang tidak selalu tercermin dalam laporan keuangan. Oleh karena itu, penelitian ini mencoba untuk menyelidiki pengaruh Intellectual Capital dan kinerjanya pada Bank di Indonesia. Hasil penelitian didasarkan pada data yang diambil dari 16 Bank Umum Swasta Nasional Devisa (BUSND) yang terdaftar di BEI periode tahun 2015-2019. Ditemukan bahwa Intellectual Capital memiliki hubungan yang signifikan dan positif dengan kinerja perusahaan yang diukur dengan profitabilitas dan Return on Assets (ROA). Hasil penelitian menunjukan secara parsial menunjukan bahwa HCE, CEE dan SCE berpengaruh signifikan terhadap ROA, sedangkan model VAIC (HCE, CEE dan SCE) secara bersama-sama berpengaruh signifikan terhadap ROA.
Program Pemulihan Bisnis UMK Terdampak Covid-19 di Wilayah Bogor
Authors: Tanjung Dahri , Fathin Safira
Published: December 2021

Bencana Covid-19 telah memberi berdampak buruk terutama terhadap kesehatan dan ekonomi. Usaha mikro dan kecil (UMK) merupakan sektor ekonomi yang sangat terdampak. Sementara posisi UMK demikian besarnya dalam ekonomi daerah, sehingga begitu pentingnya membantu UMK untuk segera bangkit dari terpaan Covid-19 tersebut.Tujuan penelitian terapan ini adalah menganalisis dampak Covid-19 dan menyusun program pemulihan bisnis UMK menghadapi kondisi normal. Metode Analisis yang digunakan dalam penelitian ini adalah analisis deskriptif tabulasi dan grafis, dan analisis pemasaran. Hasil analisis menunjukkan sebagian besar (75%) merupakan wanita yang berumur 30-50 tahun. Dari responden penelitian ini, sebanyak 40% bergerak dibidang usaha makanan ringan dan minuman. Hasil uji paired samples terhadap asset, biaya dan keuntungan menunjukkan bahwa sebelum pandemi jauh berbeda dibandingkan dengan setelah pandemi. Untuk itu program pemulihan UMK yang perlu dilakukan yaitu penyiapan izin usaha, perbaikan kualitas produk, dan pengembangan digital marketing.
Pengaruh Promosi dan Kualitas Produk Terhadap Keputusan Pembelian Dimediasi Citra Merek (Studi Pada Konsumen KOI Bubble Tea Tunjungan Plaza Surabaya)
Authors: Oktavianti Rani , Budiarti Anindhyta
Published: December 2021

KOI Bubble Tea merupakan minuman yang berasal dari Taiwan pada awal tahun 1980. Salah satu perusahaan produk merek minuman yang popular di Seluruh Indonesia dengan mengeluarkan produk andalan yang berupa bola tapioka dan produk lainnya yang telah dikembangkan yaitu berbagai varian rasa dan topping. Penelitian ini bertujuan untuk mengetahui Pengaruh Kualitas Produk dan Promosi terhadap Keputusan Pembelian Dimediasi Citra Merek pada KOI bubble tea. Populasi yang digunakan dalam penelitian merupakan pelanggan KOI bubble tea. Jenis penelitian ini adalah penelitian kuantitatif. Sampel yang diperoleh dalam penelitian ini menggunakan purposive sampling, dimana penentuan sampelnya diperoleh dengan memberikan batasan-batasan kepada responden yang memenuhi kriteria sebagai sumber data. Jumlah sampel yang digunakan dalam penelitian ini sebanyak 100 sampel yang merupakan elanggan KOI bubble tea. Metode analisis yang digunakan adalah analisis jalur (path analysis) dengan menggunakan program SPSS. Hasil penelitian ini menunjukkan bahwa promosi berpengaruh signifikan dan positif terhadap citra merek. Kualitas produk berpengaruh signifikan dan positif terhadap citra merek. Promosi berpengaruh signifikan dan positif terhadap keputusan pembelian. Kualitas produk berpengaruh signifikan dan positif terhadap keputusan pembelian. Citra merek berpengaruh tidak signifikan dan positif terhadap keputusan pembelian. Promosi berpengaruh terhadap keputusan pembelian dimediasi citra merek. Kualitas produk berpengaruh terhadap keputusan pembelian dimediasi citra merek.
ПРИНЦИПИ ФОРМУВАННЯ ІНФОРМАЦІЙНО-КОМУНІКАЦІЙНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ МАГІСТРІВ ТА ДОКТОРІВ ФІЛОСОФІЇ В ГАЛУЗІ ОСВІТИ
Authors: Топольник Яна
Published: December 2021

У статті розглянуті аспекти проблеми інформатизації освіти. Звертається увага на те, що реформування освітньої галузі відбувається на основі компетентнісного підходу, а формуванню й розвитку інформаційно-комунікаційної компетентності приділяється особлива роль. Охарактеризовано поняття «система», «принцип». Зазначено, що система інформаційно-комунікаційної підтримки наукових досліджень майбутніх науковців у галузі освіти побудована з урахуванням кількох взаємопов’язаних наукових підходів та принципів. Наведено принципи вищої освіти, що сформульовані в Законі України «Про вищу освіту». Виокремлено принципи, що розкривають підходи до формування ІК-компетентності майбутніх магістрів та докторів філософії в галузі освіти, визначають зміст, організаційні форми та методи з урахуванням мети й закономірностей науково-дослідницької діяльності. Охарактеризовано принцип інформатизації науково-дослідницької діяльності; принцип наочності, реалізованої засобами візуалізації та мультимедіа; принцип оптимального вибору засобів навчання; принцип інтеграції традиційних методів наукової діяльності та інноваційних технологій; принцип інтерактивності. Зазначено, що вказані принципи ґрунтуються на загальних закономірностях сучасної освіти, відображають вимоги інформаційного суспільства до ІК-компетентності майбутніх магістрів та докторів філософії, визначають основні напрями науково-дослідницької діяльності здобувачів у процесі професійного розвитку.
ГЛОБАЛІЗАЦІЯ ЯК ФЕНОМЕН ТРАНСФОРМАЦІЇ ПОСТКОМУНІСТИЧНОЇ КУЛЬТУРИ: ІСТОРІОГРАФІЯ ПРОБЛЕМИ
Authors: Танська Людмила Вацлавівна
Published: December 2021

Мета статті — визначити культурно-історичні детермінанти глобалізаційних процесів культури у пострадянському просторі як феномен діалогу культур. Методологію дослідження становлять системний та компаративний методи, що дали змогу визначити специфіку глобалізаційних реалій пострадянського простору. Наукова новизна полягає у розкритті особливостей взаємодії глобалізації культури в цілому та локальних ініціатив національних культур, зокрема української. Висновки. Наголосимо, що глобалізація культури є метафорою, яка не дає можливостей визначити місце окремих культур у просторі тоталізації, гомогенізації та нівеляції культурно-історичного потенціалу в цілому. Посткомуністичний простір, на відміну від пострадянського простору культуротворення, теж є достатньо розмитою дефініцією, бо ліворадикальний локус не втрачає своєї актуальності. Втім, кореляція глобалістських інтенцій метамодернізму та посткомунізму свідчить про певну стратегію альтерглобалізму — поміркованого універсалізму культуротворчих інтенцій. Доведено, що пострадянські країни погано вписуються в ці стратегему та міфологему. Суперетатизм мімікрує в систему національного етатизму за умови розвитку автохтонного капіталізму, який межує з олігархатом. Визначено, що постмодерністське забарвлення національних культур у контексті виникнення стратегії постпостмодерну, або метамодерну, все більше трансформується в різного типу етноренесанси: музеєфікацію, фестивацію традиційних цінностей. Поле діалогу культур звужується, а в умовах локальних конфліктів між країнами колишнього СРСР взагалі сходить нанівець. Відтак, глобалізація як «модернізація», «макдоналізація», «транзитологія» західних цінностей масової культури є глобалістським синдромом нерівності і відображує вже минулий етап національного будівництва культури.
Kenya: On-site antenatal syphilis services are cost-effective
Authors:   Frontiers in Reproductive Health
Published: December 2021

The World Health Organization has determined that screening and treating all pregnant women for syphilis is cost-effective if at least 0.1 percent of pregnant women have syphilis. To address the high rate of syphilis among pregnant women (6.5–7.3 percent), the Nairobi City Council (NCC) introduced maternal syphilis screening and management in its antenatal clinics in 1989. However, its centralized approach—taking collected blood samples to a central laboratory for testing—was inefficient. Therefore, in 1992 the NCC tested a decentralized approach in 9 of its 54 antenatal clinics, which featured on-site rapid testing of women by clinic staff and same-day treatment of positive women by nurses, and promotion of notification and presumptive treatment of the positive women’s partners. This approach was deemed successful and was replicated in five additional clinics. In 2000, the Population Council conducted a case study to assess the effectiveness, cost, and sustainability of the decentralized syphilis screening program after eight years of operation. As noted in this brief, providing antenatal clients with same-day screening and treatment for syphilis resulted in higher treatment rates for positive clients and their partners at an affordable cost.
South Africa: Providers should encourage sexually active youth to use condoms
Authors:   Frontiers in Reproductive Health
Published: December 2021

To assess the effectiveness of youth centers in reaching adolescents with reproductive health information, life skills, and services, the Reproductive Health Research Unit in KwaZulu Natal and the Population Council conducted an assessment of 12 youth centers and their affiliated peer education programs. The centers were run by the KwaZulu Natal Department of Health, the loveLife program, and the Youth and Adolescent Reproductive Health Program. Researchers also examined young people’s use of condoms as protection against pregnancy and HIV/AIDS. Data sources for this study, conducted in 2000, were an inventory of youth center services, interviews with center staff and clients, service statistics, and community surveys of 1,399 young people aged 12–24 and their parents. As noted in this brief, the study found that many sexually active young people in South Africa are knowledgeable about the sexual transmission of HIV/AIDS but do not use condoms consistently. Service providers can do more to promote condom use among youth by placing condom dispensers in private places and counseling youth on correct condom use and safer sexual practices.
Cultural Dynamics of Women Population as Inheritable Property in Anambra Traditional Society in South-Eastern Nigeria: Implications for Women’s Health
Authors: Akporaro Abrifor Chiedu , Caroline Okumdi Muoghalu
Published: December 2021

The study examined the practice of women as inheritable property among the Anambra Igbo. This was with a view to analysing how this practice has impacted on women’s population health and ascertain whether there have been changes in this practice. Feminism theory was employed to explain the inferior social status, subordination and exclusion of women population from partaking in the societal resources such as family property. This paper argued that women’s lack of access to inheritable property is the cause of women’s poverty and their poor health in Igboland. The study indicated that women are seen and treated as property and that women are inherited by their husbands’ kinsmen at the death of their husbands. The study also revealed neglect in the welfare of the widow and her children for her refusal to observe certain cultural but inhumane practice. The study also revealed that some communities practice widow cleansing in which the village deity priest must have sex with the widow after the burial of her husband so that she should be allowed to stay in that community. The study recommended that women as inheritable property have economic and health implications for all women in Igboland whether they are widowed, married or single. The study concluded that the concept of women as inheritable property impoverishes women and constitutes a barrier to women’s attainment of their full potentials in Igboland, and it has serious implications for their health.
Air Quality Monitoring System
Authors: Vijay Kumar G. , Kiran Kumar K. , Manohar Bravara , Venkatesh Chintha , Chand Basha Shaik , Javeed Akthar Shaik
Published: December 2021

Safeguarding and checking of air quality has becoming a most important practice in various modern and metropolitan zones now a days. The behaviour of air is unfavourably influenced by various types of contamination that we get by the transportation in production of power, natural resources utilizes and so for the emission of different poisonous gases is making a major danger for the personal life in various urban communities. The contamination of air is getting expanded day by day. Our main task is to provide a effective air contamination prediction observing techniques by which we can gather the data about infectious or poisonous gases present in every zone and gives us an idea of air contamination in each zone. Therefore, air quality measuring has become amongst important technique. The shape of air is influenced by multi-dimensional elements contains of area, time and unsure factors. As of now, various specialists get started to use the very large information investigation methodology because of various ways in large information applications and using the resources of nature detecting organisations and information sensed by sensor. The examination researches different various information and air quality evaluation methods using artificial intelligence methods. Moreover, it identifies and predict the future explanation needs.
Help Farmers – Farm Era App
Authors: Thamizhselvi D. , Supraja S.V. , Priyadharshini G.
Published: December 2021

The income of the famers has decreased drastically over the past years as they do not have the proper channel for marketing their produce. This has also proved to be the factor that favors the landlords and money lenders to gain possession over their agricultural products at a very low cost and obtain a large profit from it. This also reflects the inability of farmers to obtain the righteous profit from their produce. The main aim of our project is to organizing and uniting the farmers under one umbrella, to reduce the unbalanced accumulation of the profit from perishable farm produces for the traders and the sellers and help maximise the income level of the farmers by self-marketing. This system has been implemented by considering the entire supply-demand eco system and it also helps avoid product wastage.
Price Prediction for Pre-Owned Cars Using Ensemble Machine Learning Techniques
Authors: Longani Chetna , Prasad Potharaju Sai , Deore Sandhya
Published: December 2021

The Pre-owned cars or so-called used cars have capacious markets across the globe. Before acquiring a used car, the buyer should be able to decide whether the price affixed for the car is genuine. Several facets including mileage, year, model, make, run and many more are needed to be considered before getting a hold of any pre-owned car. Both the seller and the buyer should have a fair deal. This paper presents a system that has been implemented to predict a fair price for any pre-owned car. The system works well to anticipate the price of used cars for the Mumbai region. Ensemble techniques in machine learning namely Random Forest Algorithm, eXtreme Gradient Boost are deployed to develop models that can predict an appropriate price for the used cars. The techniques are compared so as to determine an optimal one. Both the methods provided comparable performance wherein eXtreme Boost outperformed the random forest algorithm. Root Mean Squared Error of random forest recorded 3.44 whereas eXtreme Boost displayed 0.53.
Prediction of Fake Tweets Using Machine Learning Algorithms
Authors: Sreedevi M. , Vijay Kumar G. , Kiran Kumar K. , Aruna B. , Yadav Arvind
Published: December 2021

Social networking sites will attract millions of users around the globe. Internet media is becoming popular for news consumption because of its ease, simple access and fast spreading of data takes to consume news from social media. Fake news on social media is making an appearance that is attracting a huge attention. This kind of situation could bring a great conflict in real time. The false news impacts extremely negative on society, particularly in social, commercial, political world, also on individuals. Hence detection of fake news on social media became one of the emerging research topic and technically challenging task due to availability of tools on social media. In this paper various machine learning techniques are used to predict fake news on twitter data. The results shown by using these techniques are more accurate with better performance.
Study on Product Opinion Analysis for Customer Satisfaction on E-Commerce Websites
Authors: Sagvekar Vijaya , Sharma Prashant
Published: December 2021

The E-commerce websites have been emerged in a high range of marketing benefits for the users to publish or share the experience of the received product by posting review that contain useful comments, opinions and feedback on the product. These days, a large number of clients acquire freedoms to look at comparative items in online sites and pick their top choices in computerized retailers, like Amazon.com and Taobao.com. Client audits in online media and electronic trade Websites contain important electronic word data of items. Sentiment Analysis is broadly applied as voice of clients for applications that target showcasing and client care. Sentiment extractors in their most essential structure classify messages as either having a good or negative or once in a while neutral supposition. A typical application of sentiment investigation is the programmed assurance of whether an online review contains a positive or negative review. Subsequently, in this paper, with the use of the strategies on sentiment analysis, obstinate sentences alluding to a particular element are first recognized from item online audits. We have proposed deep learning strategy as a classification model for discovering the condition of review. The outcomes showed suggested site for the client dependent on the early audits, past reviews and answer given to inquiry audit for the client. Additionally, it is seen that the proposed strategy can ready to answer every one of the reviews with a superior closeness like a human reaction to the client.
Hybrid Customer-Centric Sales Forecasting Model Using AI ML Approaches
Authors: Londhe Sanket , Palwe Sushila
Published: December 2021

Business Intelligence is a process of preparing, analyzing, presenting, and maintaining the data to gain insights for the decision-makers to make informed decisions. While there are many approaches to predict the growth based on the sales figures a very few consider the influence of customer data on the forecasting and the relevance of the same while making the predictions. So, in this study, we will look at some of the existing techniques used so far to make predictions and studies used to understand the customer data. With the analysis, we shall try to devise a hybrid approach to the traditional sales prediction, which would include a customer-centric data analysis. We shall look at some of the techniques which are traditionally used in Market Basket analysis and at the same time look at the techniques like classification, segmentation, regression, etc. to get a perception of the impact of customer data on sales forecasting. We shall highlight all the pros and cons of the algorithms and try to come up with an intelligent approach that would give accurate results
A Comprehensive Assessment on IOT Devices with Data Mining Techniques
Authors: Vijay Kumar G. , Sreedevi M. , Yadav Arvind , Aruna B.
Published: December 2021

Now at present development the entire world using vast variety of smart devices associated among sensors & handful of actuators. There is an enormous progress within the field of electronic communication; processing the data through devices and the bandwidth in internet technologies makes very easy to access and to interact with the variety of devices all over the whole world. There is a wide range research in the area of Internet of Things (IoT) along Cloud Technologies making to build incredible data which are creating from this type of heterogeneous environments and can be able to transform into a valuable knowledge with the help of data mining techniques. The knowledge that is generated will takes a crucial role in making intellectual decisions and also be a best possible resource management and services. In this paper we organized a comprehensive assessment on various data mining techniques engaged with small and large scale IoT applications to make the environment smart.
Computer Vision Approach for Detecting Adulteration of Ghee with Foreign Fats – A Survey
Authors: Upadhyay Aditya , Chaudhary Neha
Published: December 2021

Ghee is pure clarified fat derived from milk, yogurt and fresh cream. It is most commonly used milk fat product in India. The consumption and production of ghee is consistently increasing by 10% in our country in every year. In comparison to other milk fat product, ghee is expensive and short in demand because of its pleasant taste or high nutrition value. Due to its high cost and demand in market, there are high possibilities to adulterate it with cheap fats like vegetable oil/animal body fats. The adulteration detection of ghee is becoming a serious issue to chemists. Several analytical and instrumental methods are available for the detecting adulteration in ghee based on chemical principles. On the basis of study, it was observed that analytical methods are not suitable to detect the adulteration level of <15%. In recent time, digital image analysis is introduced in the field of adulteration detection in food products. A very few studies found in the area of milk fat adulteration detection with foreign fats using image analysis. Various studies found related to detection of adulteration in Oils (like Extra virgin olive oil, sesame oil etc.) with cheap oil using the various color models (like CIELAB, RGB, HSV, CMYK) and machine learning algorithms.
Distributed Denial of Service Attacks Detection and Mitigation in Software Defined Mesh Networks
Authors: Mani Santosh , Nene Manisha J
Published: December 2021

Networks configured in Mesh topology provide Network security in the form of redundancy of communication links. But redundancy also contributes to complexity in configuration and subsequent troubleshooting. Critical networks like Backbone Networks (used in Cloud Computing) deploy the Mesh topology which provides additional security in terms of redundancy to ensure availability of services. Distributed Denial of Service attacks are one of the most prominent attacks that cause an immense amount of loss of data as well as monetary losses to service providers. This paper proposes a method by which using SDN capabilities and sFlow-RT application, Distributed Denial of Service (DDoS) attacks is detected and consequently mitigated by using REST API to implement Policy Based Flow Management through the SDN Controller which will help in ensuring uninterrupted services in scenarios of such attacks and also further simply and enhance the management of Mesh architecture-based networks.
Chennai Water Resource Management Using GIS
Authors: Purohit Saral , Jay Dipakbhai Gadhiya , Abirami G.
Published: December 2021

Water scarcity is one of the biggest problems in the country of India, this problem is often caused by poor water resource management. Notably in India, the city of Chennai has had a water crisis going on for the past few years. On June 19th, 2019, the city officials declared that the city had run out of water. This was termed as ‘Day Zero’ where there was no water left. Most of the lakes of Chennai dried out. Poor water management and very less rainfall were the major reasons for this scarcity. Water resource management thus is of critical importance to ensure that water is utilized in the right way. So the aim of the proposed system is to evaluate the nature, significance, and rate of change in the water bodies of Chennai over a period of time using GIS/Remote sensing and assess the past and present conditions of water bodies in Chennai and to understand the dynamics and trends of change through various forms of spatial analysis. This is achieved by using different functionalities of ArcGIS and ArcMap and then analysing the obtained data and maps.
Data Privacy Preservation and Security Approaches for Sensitive Data in Big Data
Authors: Ravindra Nikam Rohit , Shahapurkar Rekha
Published: December 2021

Data mining is a technique that explores the necessary data is extracted from large data sets. Privacy protection of data mining is about hiding the sensitive information or identity of breach security or without losing data usability. Sensitive data contains confidential information about individuals, businesses, and governments who must not agree upon before sharing or publishing his privacy data. Conserving data mining privacy has become a critical research area. Various evaluation metrics such as performance in terms of time efficiency, data utility, and degree of complexity or resistance to data mining techniques are used to estimate the privacy preservation of data mining techniques. Social media and smart phones produce tons of data every minute. To decision making, the voluminous data produced from the different sources can be processed and analyzed. But data analytics are vulnerable to breaches of privacy. One of the data analytics frameworks is recommendation systems commonly used by e-commerce sites such as Amazon, Flip Kart to recommend items to customers based on their purchasing habits that lead to characterized. This paper presents various techniques of privacy conservation, such as data anonymization, data randomization, generalization, data permutation, etc. such techniques which existing researchers use. We also analyze the gap between various processes and privacy preservation methods and illustrate how to overcome such issues with new innovative methods. Finally, our research describes the outcome summary of the entire literature.
Content Filtering of Social Media Sites Using Machine Learning Techniques
Authors: Tambe U.S. , Kakad N.R. , Suryawanshi S.J. , Bhamre S.S.
Published: December 2021

To build a social network or social relations between people, we use social networking platforms like Facebook, Twitter, apps, etc. Using this media, users can share their views and opinions about a particular thing. Many people use their media for personal interests, entertainment, the market stocks, or business purposes. Nowadays, user security is the major concern for social networking sites. Online social networks give a little bit of support regarding content filtering. In this article, we proposed a system that provides security regarding malicious content that is posted on their social networking sites. To filter the content that might be unwanted messages, labeled images, or vulgar images, we proposed three level architecture. The user can use the auto-blocking facility as well.
COVID-19: Face Mask Detector with Open CV and CNN Algorithm
Authors: Pragati Tambe , Akshada Tanpure , Asmita Wakchaure , Prachi Zaware , Bhosale S.A.
Published: December 2021

Now a day, covering our faces with a mask has become a new normal habit in this pandemic, as face masks are effective in preventing the virus outbreak. Masks reduce risk from an infected person whether they have symptoms or not. In this paper, we propose a system that restrict the growth of COVID-19 by finding out peoples with mask and without mask. Where all the public places are monitored with CCTV cameras. A deep learning architecture is trained on a dataset which consists of images of people with wearing mask and without wearing is masks collected from various sources. By using image processing analysis and machine learning method we can find out face mask wearied or not. Face mask detection can be done using various methods. Mainly convolutional neural network and OpenCV method is used. The accuracy and decision making of CNN algorithm is higher than other algorithms.
Mineral Rock Classification Using Convolutional Neural Network
Authors: Srinivas Amiripalli Shanmuk , Nageshwara Rao Grandhi , Behara Jahnavi , Sanjay Krishna K , pavan venkat durga ram Mathurthi
Published: December 2021

The main aim of the research is to build a model that can effectively predict the type of mineral rocks. Rocks can be predicted by observing it is colour, shape and chemical composition. On-site technicians need to apply different techniques on rock sample in order to predict rock type. Technicians need to apply different techniques on rock samples, so it is a time-consuming process, and sometimes the predictions may be accurate, and sometimes predictions may be false. When predictions are false, it might show a negative impact in several ways for workers and organization as well. We considered an image dataset of rock types, namely Biotite, Bornite, Chrysocolla, Malachite, Muscovite, Pyrite, and Quartz. We applied CNN (Convolutional Neural Network) Algorithm to get a better prediction of different mineral rocks. Nowadays, CNN is mainly used for image classification and image recognition tasks.
Brain Inspired Visual Effects and Animation Psychological Computing Impact in Indian Television Advertisement Pre and Post 2000s
Authors: Surender Dhanunjay Gondi , Singh Pranjal , Samee Sayyad , Vengatesan K. , Kumar Abhishek , Singhal Achintya
Published: December 2021

Technology in its immense boom in the last decade has made us aware of a lot of ways to increase consumer potential and engagement with different products in various spheres and aspects of production. Taking this idea forward, the main idea of this study is to identify the major visual effects facets being used and how they contributed towards consumer engagement. In this regard, a pilot study was done and then questionnaire has been prepared which was completed by 369 participants between the age group 18–60 years. Hence the main aim of this work is to use statistical data to understand how the last decade has proved beneficial for the Advertising industry through the use of visual effects Statistical analysis is used to interpret the data.
Data Confidentiality in Cloud Storage. A Survey
Authors: Kausalye Shekhar S , Kumar Sharma Sanjeev
Published: December 2021

In cloud computing security, privacy and data confidentiality plays important role when popularity in terms of cloud computing services is consider. Till now there are various schemes, protocols and architecture for cloud computing privacy and data protection are proposed which are based on data confidentiality, cryptographic solution, cipher text blocks, various transforms, symmetric encryption schemes, attribute-based encryption, trust and reputation, access control, etc., but they are scattered and lacking uniformity without proper security logic. This paper systematically reviews as well as analyze research done in this relevant area. First various shortcomings in cloud computing, architectures, framework and schemes proposed for data confidentiality will be discussed; then existing cryptographic schemes, encryption functions, linear transform, grid storage system, key exposure, secret sharing, AONT (All or Nothing Transform), dispersed storage, trust, block encryption mechanism, attribute-based encryption, access control will be discussed; thirdly propose future direction with research challenges for data confidentiality in cloud computing; finally focus is on concern data confidentiality scheme to overcome the technical deficiency and existing schemes.
A GSM Based Assistive Device for Blind, Deaf and Dumb
Authors: Dhanesh Lavanya , Monica S  , Revathi R  , Suganya S  , Swetha Lakshmi K N
Published: December 2021

This paper tries to overcome the shortcomings of the recent technology that fails to enhance the communication between physically disabled people by designing an assistive device. This device uses a GSM modem with a SIM card and no smartphones are needed which makes the device affordable. Here, the sender sends the message to the phone number of the disabled person and he/she receives the SMS that gets converted to text and voice message and vibrations to Braille pad using a microcontroller which is easily readable by the disabled person.
Grid-Tie Rotating Solar Rooftop System Using Atmega
Authors: Ushanandhini K. , Kiruthika A. , Dharmaprakash
Published: December 2021

This paper presents a grid-tie rotating solar rooftop system solar power project which is powered by using Atmega 328 microcontroller. It includes solar panel, LCD display, and battery charging circuit and an inverter circuit with sun tracking capability. This project represents whether a particular industrial or residential load would be powered by the photovoltaic panel or the company. This project is based on Atmega 328 micro-controller which controls the solar array by rotating it consistently with the position of sun. This energy obtained from the solar array is then stored in battery which is then sent back to power the domestic or industrial area. The remaining energy is then reverted to the power house through the gird-tie system. Hence with the assistance of this project, power usage can be reduced by the renewable source of energy and profit can be earned with the help of the power which is fed back to the grid.
Smart Ticketing System for Public Transport Vehicles
Authors: Subramaniyan J. , Senthil Kumar P. , Sripriya S. , Jegan C. , Jenny M.
Published: December 2021

Recent Growth in technologies has taken drastic improvements in all fields especially public welfare. Soon transport systems with demanding technologies like frequency Identification Devices (RFID), GSM, and face recognition will gain the spotlight. The RFID concept is applied in a public transport identification card which is a reliable system, automatically detects the passenger, and the camera will recognize the passenger’s face and debit the fare following the distance traveled. A feedback message is forwarded to the corresponding person’s mobile, as a sign of good security. The security system is equipped with a GSM modem.IR sensor will count the persons entering and exiting the bus.
Smart Reader Glass for Blind and Visually Impaired People
Authors: Anbarasi S. , Krishnaveni S. , Aruna R. , Karpagasaravanakumar K.
Published: December 2021

Visually impaired people fail to read the text with existing technology. The proposed project targeted to design a spectacle with a camera by which the blind visually impaired people can read whatever they want to read based on contemporary OCR (optical character recognition) technique and text-to-speech (TTS) engines. This proposed smart reader will read any kind of documents like books, magazines and mobiles. People can access this novel technology with blindness and limited vision. The earlier version of the proposed project was developed successfully with mobile reader which had certain drawbacks such as high cost due to the need of android mobile, not user friendly and improper focusing. To overcome these disadvantages, a spectacle type reader with camera is proposed in this project, which will be cost effective and more efficient.
UPDATING THE TOOLS FOR ECONOMIC AND MANAGEMENT RECONFIGURATION OF BUSINESS PROCESSES OF CONSTRUCTION ENTERPRISES IN THE CONTEXT OF THE MODERN PARADIGM OF DIGITALIZATION OF THE ECONOMY
Authors: Chupryna Khrystyna , Ishchenko Tetyana , Savchuk Tetyana , Dykyi Oleksandr , Pokolenko Vadim , Veremeeva Tetyana
Published: December 2021

Current trends of globalization, digitalization of the economy, the introduction of information technology objectively gradually weaken the material component (traditional factors of labor - land, capital, labor) and, conversely, highlight the importance of the intangible component of competitive positions of economic entities. The study of the evolutionary development of competition theory and establishing the impact of modern technological changes on the content and nature of competition was the basis for substantiating the key provisions of modern theory of network intellectual information information, the content of which is to form hyperconnected intellectual information business systems. introduction of digital technologies, resources, competencies and business platforms provide intensification of intersectoral innovation and production cooperation, increase the speed and volume of information and knowledge, reduce the life cycle of innovation and generally contribute to the generation of dynamic competitiveness. Achieving strategic priorities for development and ensuring the competitiveness of enterprises, taking into account the digitalization of the market of construction works and services requires taking into account the specifics of innovation. The essential and substantive characteristics of the concept of "innovative convergence" are revealed, innovative incentives, motives, interests and tools of its implementation are established, which will create conditions for production at the enterprises of the branch with the use of BIM-technologies. Theoretical and methodological approaches to modeling the information technology architecture of the organization are proposed. Theoretical and methodological approaches to determining the formal features of an innovative organization in the context of the digital economy have been developed. The influence of intellectual potential and innovation culture on the innovative development of the organization in the digital economy is determined. The factors that generate in management information and identify the conditions that promote (hinder) the implementation of innovations are systematized.