Reviewerly/exHarmony huggingface dataset:
Implementation of Spirograph using Vector Font as Frame

Spirograph is a roulette curve generation system that expresses the trajectory past a specific point in the wheel in a curved form by engaging a wheel in a fixed frame shape. In general, the frame and wheel are made in a simple shape such as a circle, and are made and used like a kind of toy. The mathematical principle of drawing the pattern of the roulette curve has already been studied a lot and is also used as an educational game or casual game. However, these games are based only on a generation method using a circular frame and a circular wheel, and a generation method using a more complex general shape frame is not used. Therefore, in this paper, we are trying to create a roulette curve using a vector font familiar to us using this spirograph system as a frame. A solution was proposed for the treatment of discontinuous turning parts and parts that the wheel could not access, which were not covered in previous studies, and an example of application to vector fonts was shown through the experimental results. This research is expected to be used as an educational game or casual game by expanding the existing spirograph generation method, and it can be used in fields such as font transformation method using vector fonts, vector graphic application, and so on.
LibGuides: Multicultural Women's Literature for K-12: Children

The topic of this LibGuide is diversity in children's literature with a focus on female authors. The target audience for this guide is public library patrons age 6-18.
Art within philosophy of education. Part 2

Modern reformation-educational processes are influenced by digital technologies, electronic communications networks, media-art practices, etc. Hence we get the actuality of creative potential of art for pedagogical activity as the concept of philosophy of education. Human consciousness inherents organic interdependence theoretically-cognitive (knowledge, ideas, comprehension of the boundary principles of human existence, culture, procedure of philosophical reflection) and social-psychological (feelings, will) elements. Author’s perennial experience incorporates interactive forms of artistic knowledge activation of pedagogical specialties students: preparations and guided tours by students (museums, architecture of Lviv, etc.), developing skills to conduct dialogues about art and education of the countries which languages are taught in pedagogical institution (Ukraine, the United Kingdom, Germany, France, Spain). In accordance personal and pedagogical experience of intersubjective communication, existential and cultural self-determination is enriched. In the system of philosophy of education, art is designed to harmonize human existence, to balance the sensory-emotional and rational-intellectual spheres of consciousness. The spread of electronic media requires a thorough study of their impact on humans, given the cognitive problems of communication technologies, information and computer systems, digitalization. A variety of artistic phenomena form a holistic system. Moreover, beliefs are knowledge that has passed through the world of feelings and human will. An open humanitarian space, new dialogical, communicative, cultural opportunities for interaction of nature-man-culture-society-universe, the universal nature of self-organization of human life, education of intersubjective cultural communication between carriers of different types of worldview, values, spiritual traditions is methodologically important.
IMMERSION OF HEAT POLYMERIZED ACRYLIC RESIN DENTAL BASE IN ARAK BALI AGAINST SURFACE ROUGHNESS

Introduction: The denture base is the part of the removable denture that is supported by good adaptation to the underlying oral tissue. Most of the denture bases are made of acrylic or polymethyl methacrylate resin, better known as PMMA. However, the acrylic resin also has disadvantages such as easily broken and absorbs liquids both water and chemicals. The chemical absorption like alcohol, ethanol, and some drinks that contain acidic materials will chemically be induced with acrylic resin and settle in the pores of the acrylic resin. The chemical damage or defect creates roughness on the surface of the acrylic resin which can cause cracking or crazing and a decrease in surface strength and hardness. Materials and Methods: The method used in this research was a laboratory experimental design with a post-test-only control group using 12 samples consisting of 2 different types of samples by measuring the surface roughness of the acrylic resin after immersing the sample with a predetermined time. Results and Discussions: One-way ANOVA test results showed a significant difference in surface roughness after the samples immersion with a value of p = 0.006 (p &lt;0.05). Conclusions: Based on this research, can be concluded that there is an increase in the surface roughness of the heated polymerized acrylic resin for 3 hours and 4 hours of immersion. The longer the heated polymerized acrylic resin is soaked in arak hence the level of surface roughness increases.
스마트팩토리 기술수용에 영향을 미치는 요인에 관한 연구

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy ( = .459)> facilitating conditions ( = .212)> social influence ( = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.
ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications

Streaming processing is an important and growing class of applications for analyzing continuous streams in real time. In such applications, sliding-window aggregation (SWAG) is a widely used approa...
Anomaly Detection of Outlier Features from Spatio-temporal Databases of Landsat-8 Sensor, using Cloud Computing Platform

Recently there has been an explosion of research articles being published in scientific journals regarding machine learning and specialized algorithms, for feature identification, feature selection, and feature extraction studies. This article distinguishes the application of proof-of-concept from domains such as computer vision, remote sensing, image processing, and geospatial based databases technology. Using Landsat-8 sensor satellite imagery for rendering in multimedia and in scalable vector processing modes, the article lends credence to the fundamentals and principles in digital image analysis technique. With the application of user defined algorithm and scientific approach, the article in vigour details RSVM and DAFE scientific methods in cloud computing platform. It is proposed to bring about nuances of data analytics in distributed computing and parallel databases.
Iot Technology-Based Smart Distribution Framework for the Recognition of Vulnerabilities

The Internet of Things (IoT) transforms everybody’s life through functionality like control and tracking of linked intelligent devices. Smart towns, houses, vehicles, factories, e-healthcare to intelligent control systems, commuting, clothing, agriculture, and many more size IoT applications. The adaptation of these instruments is increasing rapidly, generating considerable data for visualization and interpretation. These systems are also vulnerable to various security risks and issues alongside easy human life, which not only concern consumers for their adoption in sensitive environments such as e-health, smart homes, and so on but also represent a risk for IoT nutrition in the next few days. The Internet of Things (IoT) transforms everybody’s life through functions like the tracking and surveillance of the associated intelligent objects. Smart cities, houses, vehicles, factories, e-healthcare, commuting, wearable tech, agriculture, and more are all IoT technologies. The adaptation of such instruments is exponentially increasing, which produces considerable data for processing and analysis. These systems are thus vulnerable to various threats and safety challenges alongside facilitating human life, not only causing concern to the consumers for their use in centralized locations including such e-health and intelligent home, etc but also posing a risk to IoT nutrition in the coming days. Moreover, a detailed competitive study between the suggested technique and other related schemes reveals that a better deal is reached with the suggested Method in comparison with other schemes between the safety and accessibility features, connectivity, and computing costs.
Evaluating the Impact of the Use of Augmented Reality in the Design of a Workstation

The design of a workstation includes the Design of the environment and the design of the workspace and the compliance of international and local norms established for those topics. Evaluating a posture is part of this design because it is the study of working conditions. For this specific task, there are various methods for assessing postures in a job: OWAS, Corlett, SWAT, VIRA, ARBAN, Keyserling, etc. In this paper we will present the result of the risk evaluation of 4 different postures by different analysts using two different methods, some using the OWAS method and some using an Augmented Reality app designed for the same purpose. The goal of the study is to define if there is an effect on the quality of the risk evaluation of the posture depending on the method utilized and the level of experience of the analyst.
A Study of a Reading Class Model and Teaching Plan for the Lower Grades of Elementary School

Language education by reading has many advantages for the EFL learner. Effective reading practices for elementary school students involves reading storybooks as well as non-fiction works for practical informative purposes. Reading fiction and non-fiction literature at the same time helps build background knowledge and develop young learners
하이브리드 저장장치 구조를 활용한 RDF 데이터 질의 최적화

The development of the Web has made it easy to access large amounts of data. However, it is one of the big issues how to effectively store and improve query performance about these huge data. This paper proposes an RDF query optimization with hybrid storage structures to solve the issue. Hot-cold detection relocates data properly to improve the RDF query performance. After collecting data access information for a period of time, we identify the data with hot-cold detection. It reduces the write performance degradation of the SSD by moving all hot data at a time to the SSD.
End-to-End Speech Recognition Using Recurrent Neural Network (RNN)

Deep learning algorithms have received dramatic progress in the area of natural language processing and automatic human speech recognition. However, the accuracy of the deep learning algorithms depends on the amount and quality of the data and training deep models requires high-performance computing resources. In this backdrop, this paper adresses an end-to-end speech recognition system where we finetune Mozilla DeepSpeech architecture using two different datasets: LibriSpeech clean dataset and Harvard speech dataset. We train Long Short Term Memory (LSTM) based deep Recurrent Neural Netowrk (RNN) models in Google Colab platform and use their GPU resources. Extensive experimental results demonstrate that Mozilla DeepSpeech model could be fine-tuned for different audio datasets to recognize speeches successfully.
IT Management and Staff Pattern in Special Libraries of Greater Guwahati: A Study

Information Technology (IT) management ensures better utilization of resources of production i.e. men, machines and materials. Technological change is becoming a driving force in our society. Information technology has a great impact on the functioning of all types of libraries. The services of special libraries also have been drastically changed due to convergence of computing and telecommunication technologies. This paper discusses about the IT management and staff pattern of special libraries of Guwahati.
Penentuan Klaster Koridor TransJakarta dengan Metode Majority Voting pada Algoritma Data Mining

The Covid-19 pandemic has made many changes in the patterns of community activity. Large-Scale Social Restrictions were implemented to reduce the number of transmission of the virus. This clearly affects the mode of transportation. The mode of transportation makes new regulations to reduce the number of passenger capacities in each fleet, for example, TransJakarta services. This study will categorize the TransJakarta corridors before and during the Covid-19 pandemic. The clustering method of K-Means and K-Medoids is used to obtain accurate calculation results. The calculations are performed using Microsoft Excel, Rapid Miner, and Python programming language. The clustering results obtained that using K-Means algorithm before Covid-19 pandemic, an optimum number of clusters is 3 clusters with DBI (Davies Bouldin Index) value is 0.184, and during Covid-19 pandemic, the optimum number of clusters is 2 clusters with DBI value is 0.188. Meanwhile, when using the K-Medoids algorithm before the Covid-19 pandemic, an optimum number of clusters is 3 clusters with the DBI value is 0.200, and during the Covid-19 pandemic, an optimum number of clusters is 4 clusters with the DBI value is 0.190. The final cluster is determined using the majority voting approach from all the tools used.&#x0D;
A Real Time Image Inverse and Training Process for Future Multi-Media Application with RFO Machine Learning Technique

In this research workan image inverseand easy training process mechanism is implemented with machine learning technology. The training process is providing features from selected image with simple process. The earlier technologies based models are facing mathematical problems and insufficient observations from input image. Therefore the classification and extraction is very complex for future multimedia applications. So that in this research work random forest optimization machine learning model is proposed to cross over the inverse imaging and training process. This methodology is providing many solutions to real time applications potential accuracy. Moreoverproposed RFO design giving solutions to image degradation, blurring and shadow estimation. The implemented results outperformance the methodology and compete with present as well as earlier techniques. Finally accuracy 98.3%, sensitivity 99.23%, recall 93.42% and F1 score 98.71%, these performance measures are more improved compared to earlier techniques.
외국인을 위한 고유어와 한자어의 유의어 교육 방안 연구 - 상황 맥락을 바탕으로 -

This paper suggests the teaching methods of synonyms of native Korean and Sino-Korean vocabulary, while considering the situational contexts for Korean learners. The native Korean and Sino-Korean vocabulary have one-to-one corresponding relations and thus there are many synonyms that can be replaced. However, Sino-Korean vocabulary tends to be used in professional and formal situations while native Korean words are mainly used in daily and informal contexts. If the native Korean vocabulary is used in professional and official discourse, it is likely to produce awkward speech and vice versa. Despite the distinct differences of the two types of vocabulary, there has been no pedagogical concerns for teaching their situational contexts in Korean education. With the knowledge of the situational contexts of native Korean and Sino-Korean words, Korean learners will be able to achieve successful communication by increasing the appropriateness and fluency of utterance.
Implementation of Network Security with the Whitelist Method on the Server of the Department of Electrical Engineering at State Polytechnic of Malang

State Polytechnic of Malang is an educational institution based on technique where the database is needed here, the database itself is important data that must be stored and cannot be seen by others. Database security must be developed and prioritized so that no one breaks into important data on the server. This whitelist method utilizes a port that can block port access to outside networks that are vulnerable to criminal acts, this method uses ssh as a medium to manage control of an ip address. The ip address will be added a port behind it. Use IP block with Linux OS and tested via the web and laptop using a local access point. The test results show that the quality used for security is whitelist, where this method is used for the IP security used. IP block and unblock process can be done well. The process of adding and deleting ports can be done well. So that in general, the whole system is running well and easy access.
A Study on the classification of English Coordinate Conjunction and Syntactic Phenomenon

This paper presents an approach to a further classification of English central coordinating conjunctions such as and, or, but, and their syntactic properties. In this approach it is argued that the central coordinating conjunctions can be classed under a recursive type- and, or and a non-recursive type- but. The recursive type is subdivided into omissible(and) and non-omissible(or) types according to the optional omissibility of coordinating conjunctions. This taxonomy can explain the syntactic properties that the recursive type has a strong preference in gapping constructions and it can form a complex coordinate conjunction- and/or. In addition, the classification can reflect that only the non-recursive type displays subsective gradience with adverbs and prepositions.
Marcatori del discorso in Sicilia: analisi sincronica, diacronica, e sociolinguistica

This work addresses the topic of discourse markers in the sociolinguistic context of Sicily. In a three-fold perspective, it combines a synchronic analysis with a diachronic and a sociolinguistic understanding of linguistic phenomena.The object of the study is that of discourse markers. This concept is discussed theoretically, that is also in terminological and historical terms, so that discourse markers are intended as lexical elements, i.e. stable form-function associations, serving discourse-pragmatic functions, i.e. structuring and managing the text and the interaction.Drawing mainly from an original corpus of spontaneous speech collected in the area of South-eastern Sicily, two items that are representative of the category of discourse markers are selected, ara and mentri. A synchronic form-to function mapping is carried out at first, thus identifying the formal features and above all the functional ones that define these two elements as discourse markers.Both the formal and functional properties defining these items as discourse markers (discourse-pragmatic functioning, multifunctionality, morphosyntactic independence, etc.) are better understood by reconstructing the evolution of these forms. The evolution of discourse markers is approached theoretically in the framework of grammaticalization studies, as a process of intersubjectification and coding of inferences. Thanks to a diachronic analysis, the polysemy schemas of the markers find a sound explanation, in terms of both relative chronology and logical connection among the different values and functions of each marker.The two Sicilian discourse markers are eventually examined in a sociolinguistic perspective. On the one hand, they get involved in contact phenomena between the two codes of the repertoire (Sicilian and its roof and standard language, Italian): these contact dynamics, going in the direction from the non-standard variety to the standard one, happen at both the discourse level in terms of code-mixing strategies and at the system one in terms of borrowing and interference. On the other hand, it is observed how discourse markers may assume social meaning in the speech community, namely by acquiring socio-symbolic values as identity-flagging devices and by showing variation in usage according to socio-demographic and contextual factors.In conclusion, this study of Sicilian discourse markers does not only offer new empirical data, but also advances our theoretical understanding of this linguistic category in its synchronic definition, in its diachronic dimension, and in its sociolinguistic implications.
THE EFFECT OF EXTENSIVE READING TOWARDS STUDENTS’ VOCABULARY MASTERY

In this study researcher found some problems that faced by students of grade X in MAS TI Koto Tinggi. The problems were: first, Students did not understand the meaning of vocabulary in the reading text. Secondly, Students seemed to have lack of willingness and interest in learning English. Thirdly, Students’ ability in English was still average especially in vocabulary and grammar. The study aimed: (1) To find out whether there is a significant effect of using extensive reading towards students’ vocabulary mastery, (2) To find out whether there is a significant difference of students who are using extensive reading and students who are not using extensive reading, (3) To know whether students’ reading taught by using extensive reading is better than students who are not taught by it.The class research was consisted of two classes and the students are 24 students. the first was experiment class with 12 students and the second was control class with 12 students. The researcher did pre-test in both class, then the researcher gave treatment in experiment class by using extensive reading method then did post-test in both class to know the result. Data that has been collected was processed by using SPSS. 20 The results showed that most of the average score of pre-test in experiment class 55.67. The average score of post-test in experiment class was 81. That was mean that the class category of student’s vocabulary mastery in reading skill after did treatment by using extensive method was increase. The average score of pre -test in control class was 58.67, then the average of post-test in control class was 66.67. it’s mean that the class category of student’s vocabulary mastery in reading skill after taught by using conventional method was increase in score, but the category was still in fair category.