Reviewerly/exHarmony huggingface dataset:
APPLICATION OF NEURO-FUZZY MODELS IN THE SYSTEM FOR ASSESSING THE PROFESSIONAL ABILITIES OF APPLICANTS

The work is devoted to solving a problem of assessing the professional abilities of entrants to higher education institutions. The subject of the study is the process of automatic support of entrants' decisions in conditions of fuzzy uncertainty caused by the need to communicate "online". The object of the study is a supporting means of the decisions of applicants to choose the direction of study "online". The main purpose of the work is to substantiate the technology of decision support for choosing a direction of study using an infocommunication system, the work of which has based on a neuro-fuzzy output system. Particular attention has paid to overcoming the problems that accompany the creation of infocommunication systems, which has designed to support decision-making on the choice of field of study in conditions of unclear uncertainty caused by the limitation of offline communication. The article presents the results of a study of the criteria for admission to higher education institutions in different countries. The structural model of the Specialized Intellectual System of Identification of Abilities of Entrants has offered. The system has designed to support the decision to choose a specialty of higher education institution. It has shown that to substantiate the recommendation conclusion based on the results of professional game; it is advisable to use a fuzzy neural network Takagi-Sugeno-Kanga. To solve the problem of substantiation of expert decisions at the stage of formation of a priori base of rules of fuzzy knowledge base of fuzzy inference system, it is expedient to use Mamdani model, which operates with linguistic variables and fuzzy sets.
THE ROLE OF ACADEMIC INSTITUTIONS IN THE DEVELOPMENT OF TRADITIONAL ARTS

Traditional arts and crafts reflect the degree of development in any society, and the history of traditional arts and crafts of any people is part of the social and cultural history of the people in which the utilitarian function is combined with religious functions, customs, traditions and inherited values .The handicrafts sector is of great interest in most countries of the world, and efforts are increasing at the national, regional and international levels to emphasize the social and cultural importance of crafts, traditional arts and handicrafts as part of the national heritage, not only interest is not limited to cultural and social aspects, but also the economic aspects of the importance of taking advantage of the available possibilities, whether those possibilities related to human resources that have distinct skills in craft activities or to increase the use of raw materials available in the local environment, or other possibilities available in some of the relevant parts, which can be utilized in the development of the arts and heritage sector ,some countries focus on the development of this sector, because of the importance of its products in attracting tourists and increasing their numbers
Effects of Incorporating AR-based Mobile Learning System on Elementary School Students’ Perceived Usefulness of M-learning

The rapid development of information technology has diversified the application of multimedia in education. Through the combination of mobile apps and augmented reality (AR) technology, smart devices such as tablet computers and smartphones make learning interesting and enable diverse interaction modes. The starting point of this study was creative teaching covering topics such as ecological conservation and environmental education. We created an AR app for users in schools to take an ecological tour of the plants in the diet of butterflies. The app formed the localized and special mobile learning content in school. Students were allowed to walk out of the classroom and use their mobile devices to engage in autonomous learning and determined their acceptance of the AR app.
Analisis Penerapan Code Splitting Library React pada Aplikasi Penjualan Mebel Berbasis Website

Mebel Murah is a shop that sells furniture products located in Semarang, Central Java, Indonesia. Due to Covid-19, the sales revenue have decreased due to limited access for buyers. Therefore, an innovation is needed to overcome this, namely by creating a website that can support especially the marketing and sales of furniture products to the public. The aims of this research is to focus on testing the rendering speed of components through the React Profiler to analyze the comparison of component rendering times on the client side of the code breaking features of the React library. The result of this research is to produce a website by utilizing the code splitting feature to display information content related to products sold by Mebel Murah stores.
Secure Data Mobility in Cloud Computing for e-Governance Application

Due to the rapid technological advancement, traditional e-government systems are getting obsolete because of their inherent limitation of interoperability and accessibility to the highly secured and flexible e-governance services. Migration of such systems into highly secured cloud governance architecture will be a long-term viable solution. However, the adoption of distributed cloud computing has created operational and security challenges. This research work aims to bridge the gap between traditional and cloud-based e-Government systems in terms of data security based on confidentiality, interoperability, and mobility of data among distributed databases of cloud computing environments. In this work, we have created two organization databases by the use of AWS EC2 instances and classified the data based on the Risk Impact Level (RIL) of data by the use of the Metadata Attribute Value (MAV) function. To enhance further security on classified data, we take appropriate security action based on the sensitivity of the data. For the analysis purpose, we implemented different security algorithms, i.e. AES, DES, and RSA in the mobility of data between two distributed cloud databases. We measured the encryption and decryption time along with the file size of data before and after classification. AES performed better while considering the encryption time and file size, but the overall performance of RSA was better for smaller file sizes. Finally, the performance of the data mobility between two distributed clouds databases was analyzed while maintaining the sensitivity level of the data.
Cross-Topic Author Identification -- a Case Study on Swedish Literature

Using material from the Swedish Literature Bank, we investigate whether common methods of author identification using word frequencies and part of speech frequencies are sensitive to differences in topic. The results show that this is the case, thereby casting doubt on much previous work in author identification. This sets the stage for a broader future study, comparing other methods and generalising the results.
SMART-CAM FOR WAREHOUSE

We are implementing a project for memory optimization for video surveillance with the help of human motion happening in the surrounding in the warehouse and also will be able to playback the recorded video which will only have the human motion recorded video and images will be click continuously after a fixed interval of time to get a view when there is human motion or no human motion images will be always clicked and stored.This system is based on IoT (Internet of Things).It has a Raspberry Pi (RPI), Camera module to detect human (thief) or detection of fire.Motion detection is a process of confirming a change in the position of an object relative to its surroundings or the change in the surroundings relative to an object.Generally, motion detection is useful in real-time or active surveillance systems.IN this paper the main focus is given to the processing of the captured video data to detect human motion in it.So that it is easy for the user to view images and videos whenever he wants.So this system is very useful to maintain a warehouse and memory optimization will be done.
Protected Industrial Iot: Blockchain Process Using Credit-Based Consensus Process

In the active scheme Industrial Internet of Things (IIoT) carries out essentialconcern in lieu of Industry 4.0, individuals remain steadfast in realizing a universal, extensibleand protected IIoT structure embraced in a number of businesses. In established methods, bythe advent of blockchain(BC), conception of merging BC plus IoT maintains achievedextensive involvement by way of an access control arrangement set up at the BC technology toget along IoT devices. Yet, it is not wholly put upon the disseminated mode for the reason ofhandling of the key controlling axis. The minute it’s seized up or ruined, IoT devices attachedto it befits inaccessible. In purported scheme that shield reliable data concealment, a dataauthority justified order is structured to standardize the right to use the sensor data.Investigation outcomes concluded that credit-centered proof-of-work (PoW) besides datacompliance control have a reliable attainment in IoT devices.Keywords: Sensor Data, IIoT, BC system, credit-centered PoW, Directed Acyclic Graph (DAG)structured BC.
Robot House Human Activity Recognition Dataset

—Human activity recognition is one of the most challenging tasks in computer vision. State-of-the art approaches such as deep learning techniques thereby often rely on large labelled datasets of human activities. However, currently available datasets are suboptimal for learning human activities in companion robotics scenarios at home, for example, missing crucial perspectives. With this as a consideration, we present the University of Hertfordshire Robot House Human Activity Recognition Dataset (RH-HAR-1). It contains RGB videos of a human engaging in daily activities, taken from four different cameras. Importantly, this dataset contains two non-standard perspectives: a ceiling-mounted fisheye camera and a mobile robot’s view. In the first instance, RH-HAR-1 covers five daily activities with a total of more than 10,000 videos.
The IoT (Internet of Things) Impact on Global Development

Internet of Things (IoT) IOT is a kind of “universal global neural network” in the cloud which connects various devices. The Internet of Things - IoT is the sum of all the connected devices and systems which are comprised of machine-to-machine interacting and communicating, environments, objects and infrastructures and the Radio Frequency Identification (RFID) and sensor network technologies will rise to improve our day-to-day life.
The Impact of Motivation and Collaborative Learning on Academic Achievement

The Impact of Motivation and Collaborative Learning on Academic Achievement. Objective: This article aimed at explaining the impact of motivation in learning English and the application of collaborative learning on English learning achievement. Method: A three by two factorial design was employed and the sample of this research was 48 students of English for Special Purposes (ESP) subject. The valid and reliable motivation questionnaire and English test were distributed to gather the data and were analyzed by independent simple t-test and two-way ANOVA. Result: The result presented that there was a significant interaction between motivation and the application of collaborative learning to the ESP learners‘ English achievements with the sig. 0.00. Conclusion: It can be derived that the motivation and the use of collaborative learning gave a positive impact on ESP learners‘ English achievement and there was a significant interaction between learning English motivation and the application of collaborative learning to the ESP learners‘ English achievements. Keywords: Motivation, collaborative learning, academic achievement. Abstrak: Dampak Motivasi dan Pembelajaran Kolaboratif pada Nilai Akademik. Tujuan: Artikel ini bertujuan untuk menjelaskan dampak motivasi dan penerapan pembelajaran kolaboratif pada nilai Bahasa Inggris. Metode: Desain faktorial three by two diterapkan dalam penelitian ini dengan sampel berjumlah 48 orang mahasiswa yang mengambil mata kuliah English for Special Purposes (ESP). Angket motivasi dan tes Bahasa Inggris yang valid dan reliabel digunakan untuk memperoleh data dan dianalisa dengan Independent simple t-test dan two way ANOVA. Temuan: Hasil penelitian menunjukan bahwa ada interaksi yang signifikan antara dampak pengunaan pembelajaran kolaborasi dengan siswa yang memiliki, motivasi tinggi, sedang, dan rendah dengan nilai sig. 0.00. Kesimpulan: Dapat disimpulkan bahwa motivasi dan pembelajaran kolaboratif memberikan dampak positif dan signifikan pada nilai Bahasa Inggris khususnya pada mata kuliah ESP. Kata kunci: motivasi, pembelajaran kolaboratif, nilai akademik. DOI: http://dx.doi.org/10.23960/jpp.v11.i2.202108
Persepsi Pustakawan Perpustakaan Umum terhadap Transformasi Perpustakaan Berbasis Inklusi Sosial

The National Library of Indonesia launched a social inclusion-based library transformation program based on the library for all movement in collaboration with the Ministry of National Development Planning / BAPPENAS. In 2019, all libraries participating in this program totaled 359 public libraries spread across all provinces in Indonesia. The purpose of this study was to determine the perceptions of general librarians in Indonesia towards social inclusion-based library programs that have been implemented for the last two years. Two previous studies related to librarian perception research and the development of social transformation programs are the basis for the development of this research. The population in this study was 2477 librarians who work in public library institutions in Indonesia from various levels ranging from central to the village, while the determination of the research sample was carried out by simple random sampling technique with a confidence level of 94.5% and a margin of error of 5.7% so that 273 respondents were obtained. The research results are expected to provide input on national strategies and policies for the implementation of a social inclusion-based library transformation program.
Digital Transformations and Musical Education on the Traditions of Folk Instrumental Culture

The paper presents the peculiarities of introduction of digital technologies in musical education on traditions of folk instrumental culture, the potentials of building an educational process on the basis of centuries-old traditions of the Russian people, its richest cultural heritage, in particular, folk art culture. Functions of folk art culture are shown and analyzed. The core viewpoint of the paper is showing the importance of knowledge and respect for own culture as a guarantor of self-preservation of the ethnic group, strengthening of social self-awareness, formation of tolerant relationships and relationships with other ethnic groups. The importance of folk instruments in children's musical education is considered. The possibilities of solving the problem of archiving of cultural heritage products and providing them with full access are explored. Modern opportunities of distance education and use of digital technology resources in music education are demonstrated. Keywords: Folk Art Culture, Cultural Heritage, Traditions of Folk Instrumental Culture, Translation of Cultural Values, Digital Technologies, Information Environment, Distance Education
Material Evaluation of English Textbook of BS Criminology: An ESP Analysis

The present research aims to investigate the pedagogical value and suitability of the English textbook of BS Criminology at the University of Sargodha, Main Campus.The study adheres to the material evaluation in ESP.The data comprises 14 sample analyses.For evaluating the textbook Miekley's checklist has opted.In this study, the total participants were fifty who were undertaking the course of ESP.All the participants were taken from 19 to 21 years.The sampling was done from the University of Sargodha, Department of Criminology.According to the results, the English taught to the students is accurate and fulfilling their communicative needs.The ESP textbook has key features which are proved to be motivational for the students.It is implied for further researches in ESP to evaluate the materials according to the needs of the learners.Moreover, it recommends the modification and redesigning of the courses according to the needs and wants of the learners.
A Simple and Efficient Framework for Sentence Similarity Measurement in Bengali Language

Sentence similarity measurement is a crucial task for the performance of several Natural Language Processing applications and it has received much attention mainly for English language.However, for low resource languages like Bengali, very few works have been done in this field.This article proposes a simple approach to measure sentence similarity score for low resource languages.Rather than relying on complex approaches that try to extract lexical information from text, here, semantic information using language-agnostic language models based on BERT is extracted.The variable length pairs of sentences are embedded into fixed length feature vectors using different language-agnostic BERT sentence encoders, then their differences are measured using some standard loss functions and finally the concatenated loss vectors are used to train a simple feed forward neural network to measure the similarity score between sentence pairs.The experiments show that this relatively simple approach gives satisfactory results when trained with Bengali sentence pairs.This approach requires almost no intricate pre-processing steps.Which means a similar architecture should work well for other low resources languages for which well performing stemmers, lemmatizers etc are scarce.
Perancangan Sistem Informasi Inventaris Barang Berbasis Web

Information technology is rapidly developing and applied in any field of interest. It can be used as simple to the complex computation. It can also use greatly assisting human performance in managing inventory items. This paper discusses a website-based item inventory system applied in a very remote village in Desa Kusik Batu, West Kalimantan. The research goal is to facilitate the performance of village officials in managing data items, where overall data input is still done manually. The method of this research is using interviews, documentation, and literature studies. The implementation of the system resulted from this research is the following features: user data, all goods data having by the village, incoming goods data, outgoing goods data, avoid physical calculations, asset mutation reports, and goods reports, as well as making goods inventory reports can be easily done. With the existence of a web-based inventory information system website, at the village office of Kusik Batu Lapu, West Kalimantan, can improve the performance of village officials to manage goods data.
The use of Instagram to improve students’ analytical exposition text writing achievement at the second grade of SMAN 14 Bandar Lampung

The objectives of this research were to find out the significant difference of students’ writing achievement after using Instagram and to investigate the students’ perception of using Instagram in writing. The research was conducted among the second-grade students of SMA Negeri 14 Bandar Lampung in 2020/2021 academic year. The data were collected by using writing test and questionnaire. The data were collected by using writing tests (pre-test and post-test in the forms of analytical exposition text) and a close-ended questionnaire. The data taken from the test were analyzed by using a Paired Sample T-test and the data collected by using the questionnaire were descriptively analyzed. The result showed that there is a significant difference of students’ writing achievement after the implementation of Instagram. It was also found that students’ perception of the implementation of Instagram was positive. Keywords: Instagram, writing, perception.
International experience against cyber crime and cyber crime

The article considers the concept of cybercrime, mechanisms for combating it at the international level (in the UN system), analyzes international legal acts governing the process of combating cybercrime. It is noted that today a large-scale problem of the world community is cybercrime, the number of which is growing every year. Despite the active growth of the IT industry and information space, businesses are still not fully aware of the importance of cybersecurity. Both the population and state (non-state) organizations become potential victims of criminal en-croachments.Cybersecurity means first and foremost responding quickly to threats within the Internet. It is noted that in most cases, the objects of cyberattacks are the Internet of Things and the industrial Internet of Things, as, first, a low degree of protection of devices and ports, cloud applications, application programming interfaces; second, there are no security standards.The experience of counteracting such new challenges and threats as cybercrime, information terrorism and ex-tremism, information fight operations, which not every country is able to cope with, is being studied.International experience in counteracting such new challenges and threats as cybercrime, cyber-fraud, informa-tion terrorism, phishing, vishing and smuggling, targeted phishing, impersonating another person and other methods of cyber-fraud, information control operations, which each is unable to deal with .The importance of international treaties in this area is noted, including the Commonwealth Model Law on Cybercrime of 2002, the Caribbean Model Law on Cybercrime (HIPCAR project), a joint project of the European Union and the International Telecommunication Union for the Pacific and Pacific States. UN project to develop cybercrime legislation for African countries.
Interuniversity Global Student Collaboration During COVID-19

During the Spring of 2020, schools and universities across the world were among the institutions that had to close down their activities due to the COVID-19 lockdown. Because of its high contagiousness, students and faculty were prevented from having regular on-site synchronous classes. Following lockdown, innovative and virtual learning projects were designed to continue amid the pandemic. In order to provide students with novel, digital, collaborative experiences that enhanced their particular course learning outcomes, a two-week global teaming activity between two different universities (located in Illinois, U.S.A. and Mexico City, Mexico) was designed and implemented during the lockdown. The technical tools, digital environments, expected skill development and resources were planned during the design period, and included a theoretical framework that guided the activity. The results obtained from the experience varied as regards the use and acquired skills from collaborative, real-time technological tools, as well as different approaches to problem-solving between the participating teams. Results also reflect how cultural, language and generational differences played out during the teaming activity, between both students and faculty members.
The phenomenon of aftertext: an elusive entity

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