Reviewerly/exHarmony huggingface dataset:
The Study of an Image Processing Method for Tracking and Capturing Space Debris

In recent years, the number of space debris such as artificial satellites with the end of life and rocket upper stage reside in Earth’s orbit has increased, and there is an increased risk that the increased space debris will collide with artificial satellites and manned spacecraft. Therefore, it is necessary to positively remove debris.
Quick Submit Video Guide for OJS

This text and video guide provides an overview of the publication process in Open Journal Systems (OJS) 3 using the Quick Submit plugin. It also explains how to add digital object identifiers (DOIs) to your issues and articles.
Icephery and Icy Score - concepts for multi sensory approach

Introduction For years during the darkest moment of the year, I have photographed the reflections of light in the cracks of ice on a remote frozen lake in Eastern Finland. At first glance it may seem that there is only ice, snow and some light. And this is the case in some point of view, but the more detailed focusing widens the view. This exposition describes how by carefully multisensory reading the environment – here by reading the auditive and thermoception information - is organized and is in continuous moving process. My key concepts are Icephery and The Icy Score which I have created by analyzing what kind of information my thermoception and auditive orientations will give about the ice and the icy environment. In this presentation the other senses are less attentive. Those I have opened in my previous investigations (see Timonen 2014, 2019). By concentrating the multisensory close-reading the place gets new meanings and layers. The place that while ago was peripheral, remote and silence are now near with full of meanings and sounds. The understanding created by the sensory attention pushes the borders of periphery of the place in a constant float. The article proceeds by presenting the theoretical starting points of the research, then describing the concrete workplace on ice from the point of view of the place and materiality and then presenting the concepts the Icephery and the Icy score as a result of carefully multi sensory close-reading. The Icy Score is a visual outcome of the auditive layers of the ice.
El rol del docente en el aprendizaje adaptativo

In this article we recognize the role that teachers should take in the implementation of learning strategies that contribute to the development of students, so it should focus on combating the specific needs of each student through the implementation of Adaptive Learning, a system that analyzes the knowledge of each of the students and offers personalized recommendations that allow them to advance at their own pace. Big Data and Learning Analytics are the fundamental part that facilitate the generation of personalized learning adapted to the students' detected needs, through data analysis.
Contextuality and Expressivity of Non-locality

Contextuality is often referred to as a generalization of non-locality. In this work, using the hypergraph approach for contextuality we show how to associate a contextual scenario to a general k-partite non local game, and consider the reverse direction: how and when is it possible to represent a general contextuality scenario as a non local game. Using the notion of conditional contextuality, we show that it is possible to embed any contextual scenario in a two players non local game. We also discuss different equivalences of contextuality scenarios and show that the construction used in the proof is not optimal by giving a simpler bipartite non local game when the contextual scenario is a graph instead of a general hypergraph.
Methodology for Actual Pronunciation Survey Using AI Devices

이 연구에서는 과거의 한국어 발음 실태 조사의 현황을 면밀히 살펴보고, AI 기기를 활용한 한국어 발음 실태 조사 방법론을 제안하였다. 발음 실태 조사는 언어에 대한 이론적 연구에서 매우 필요하다. 발음 실태 조사 자료는 음운론 연구뿐만 아니라 사회언어학 연구에서도 중요한 참고 자료가 되기 때문이다. 또한 발음 실태 조사는 언어의 표준 규정을 정비하는 데 매우 중요하다. 언어의 표준 규정은 언중의 실제 언어 사용을 면밀히 살핀 후에 이루어져야 더욱 합리적인 규정이 될 수 있기 때문이다. 발음 실태 조사에 대한 필요성과 중요성은 과거에도 이미 인지되어 왔으며, 다양한 방식으로 발음 실태 조사가 이루어져 왔다. 그러나 과거의 방식은 조사 방법론적인 측면에서 한계가 분명했다. 이에 이 연구에서는 AI 기기를 활용하여 한국어의 발음 실태를 조사하는 방법론을 제안한 것이다. 이 연구에서는 AI 기기를 활용한 발음 실태 조사가 다음과 같은 장점을 가질 것으로 보았다. 1) 현실 발음을 수집하기에 적합하다. 2) 대규모 발음 조사가 가능하다. 3) 실시간 발음 조사가 가능하다. 4) 발음 자료 제공자의 특성을 파악하기 용이하다 5) 조사 결과를 연구 및 정책 결정 과정에서 활용하기 편리하다. 현재로서는 이 연구의 아이디어는 국어학자의 제안에 불과하다. 모쪼록 이 연구에서 제안된 AI 기기를 활용한 한국어 발음 실태 조사 방법론이 국어학자와 공학자의 긴밀한 협력 작업을 통해 실제 시스템으로 구축되기를 기대한다.In this study, we propose a methodology for surveying Korean pronunciation using AI devices. Pronunciation surveys are necessary in the theoretical study of language, as such survey data are an important reference not in only phonology but also sociolinguistic research. In addition, these surveys are important in developing and improving language standard regulations after careful consideration of actual language use in speech. The necessity and importance of the pronunciation survey has been recognized in the past, and the survey has been conducted in various ways. However, past approaches were clearly limited in terms of research methodology. Therefore, this study proposes a new methodology to investigate the pronunciation of Korean language, using AI devices. This methodology is expected to have the following advantages: 1) suitable for collecting realistic pronunciations, 2) possibility of a large-scale pronunciation survey, 3) possibility of a real-time survey, 4) easy-to-understand characteristics of the pronunciation data provider, and 5) convenience in using the survey results in the research and policy-making process. At present, this survey methodology has not been implemented elsewhere and remains just a suggestion of a Korean linguist. It is hoped that this methodology of Korean pronunciation survey using AI devices will be converted into a real system through close collaboration between Korean linguists and engineers.
Security Issues in Big Data

Big data analytics is one of the very popular technologies at the present moment. Ensuring security in the big data environment is a challenging task. Unique characteristics of big data environment make it very tricky to ensure security in it. There are unique challenges and requirements. Internet of Things and social networks are contributing in generating a huge amount of data and at the same time making the security scenario complex. In this article, various security threats, security challenges and security requirements in big data environment are reviewed.
Penerapan Model Pembelajaran Kooperatif Tipe Complete Sentence (CS) dalam Penguasaan Kosakata Bahasa Jerman (Wortschatz)

The focus of the problem in this study is: how is the application of the Complete Sentence (CS) Cooperative learning model in mastering German vocabulary (Wortschatz) for students of the German Language Study Program Department of Foreign Language Education, Faculty of Language and Literature, Makassar State University? . The aim is to produce textbooks in learning German vocabulary (Wortschatz) based on the Complete Sentence Type Cooperative learning model (CS). This research is a Quasi Experiment Designs research. The design used is the Two Group Pretest Posttest Design. The initial test (pretest), treatment (treatment) and final test (posttest) were applied in this study in order to find the effectiveness of the application of the Cooperative Learning Model Type Complete Sentence (CS). in teaching German vocabulary (Wortschatz). Based on the results of data analysis, it can be concluded that the application of the Complete Sentences (CS) type of Cooperative learning model is effective in mastering German vocabulary (Wortschatz) students of the German Language Study Program, Department of Foreign Language Education, Language and Literature Faculty, Makassar State University. his is evidenced from the results of the t-test analysis on the students' post-test scores after the t-test was carried out in each group with the results of data analysis namely th = 8.83> tt = 2.004 at a significance level of 0.05.
D. Armstrong’s Account of Laws: Identity Lost, Regained, and Lost Again

We have seen that Dretske explicitly required that laws related items like F-ness and G-ness, which would normally be understood as a reference to universals. However he also referred to laws as relating physical magnitudes. If all physical magnitudes, including refractive indices in particular, count, according to Dretske, as universals, then it seems to me that universals so understood, are in tremendous abundance, and set no limits for the expressive power of physical theories, beyond those set by the use of ordinary mathematical analysis. We noted in Chap. 4 , there isn’t any problem with those universals used by Dretske, if they are physical magnitudes.
An Intensive Study of Backbone and Architectures with Test Image Augmentation and Box Refinement for Object Detection and Segmentation

In this paper, we present an intensive study of various backbones and architectures with test augmentation and box refinement for object detection and segmentation. Recently, several models discovered by Neural Architecture Search achieve the state-of-the-art in ImageNet Classification. However, their robustness on detection task is not yet verified. While various architectures have been proposed to improve the accuracy, they are rarely evaluated with test-time image augmentation and box refinement which can further boost their gains. In this work, we thoroughly evaluate them on challenging COCO dataset to identify the robustness of backbones on detection task, the effect of various architectures and the state-of-the-art accuracy on object detection and segmentation
How to Get the Most From Zwift

For years, Zwift has changed the face of indoor riding. For just $14.99 a month, you have access to a virtual world where the experience of riding ...
SIGAA - MÓDULO BIBLIOTECA: USO DAS ABAS TRATAMENTO TÉCNICO E CIRCULAÇÃO

Faced with the excessive increase in knowledge production, libraries had to modernize to organize and make information available to their users, safely and accurately. The use of tools, such as software, greatly helps the professional librarian in managing the collection. Accept the need of this audience, the market offers a range of software, therefore, it’s necessary to establish a methodology of analysis and selection of these tools which will assist in the library praxis. This article focuses on the experience report of the use of the Integrated Academic Activities Management System (SIGAA) - Library Module by the Library System of the Instituto Federal de Alagoas  (SiBi / Ifal), more precisely the   technical processes   (cataloging)   and circulation   (loan),   discussing the functionality, benefits and errors presented in the use of the mentioned tabs, from the training occurred to the effective use.
A Study on the Curriculum of Critical Writing Linked to Students’ Major Characteristics − A Case Study on the ‘Critical Writing for the Exhibition’ of Art Students −

The purpose of this article is to find ways to more effectively educate critical writing by combining students’ major characteristics in college writing classes. The main texts to be analyzed in this article were practiced in the “Theory and Practice of Writing” classes conducted at Incheon National University in the first semester of 2019, largely written by Art students. Before attending the digital technology exhibition held at the National Museum of Modern and Contemporary Art and writing criticism, the students digested a class model that included learning theory, accepting existing examples, accumulating background knowledge on the exhibition, asking and answering questions, discussing groups, and writing outlines. Accordingly, the results of the criticism showed the possibility of being linked with the goals of liberal arts education as follows. Firstly, the students tried to give a clear view of the issues surrounding current issues while understanding the original intention of hosting the exhibition and established their own perspectives on the subject of digital technology. Secondly, the students are not only flexibly looking at the issue of the exhibition, but also exploring the possibility of free interpretation of the work. In this regard, the students were able to demonstrate their specific understanding of the exhibition subjects by using their knowledge of their majors and establish their own subjective perspective through a critical perspective. Therefore, critical writing in connection with the characteristics of students’ major can be effectively used in self-regulated college writing class in that it creates new knowledge through active ‘understanding’ rather than reproducing knowledge that is only passive ‘understanding’.
PRAWIROTAMAN AS KAMPUNG INGGRIS AND THE IMPROVEMENT OF STUDENTS MOTIVATION IN LEARNING ENGLISH FOR

Yogyakarta is not only the city with favorite tourist destinations in Indonesia but also as an education city with students from around the countries and cities. Prawirotaman is a part of the area in Yogyakarta which is known as Kampung Inggris. This area has good potential in influencing and improving the students' motivation in learning English, especially for tourism students, because there are so many foreigners who stay in that area. With that atmosphere, the student can improve their English by practice with the native speakers. This research used a descriptive qualitative method. The purpose of this research is to find out the impact of Prawirotaman in increasing the students’ motivation in learning English. This research shows that Prawirotaman has a good influence on the students who want to learn English directly with native speakers.&#x0D; Keywords: Prawirotaman, Kampung Inggris, Students Motivation, Learning English
Analisis Kesiapan Pelaksanaan Ujian Nasional Berbasis Komputer (UNBK) Mandiri Di SMP Muhammadiyah 10 Muncar Kabupaten Banyuwangi

Information and Communication Technology (ICT) is an important topic that hasbeen developed in various public policies, including in the field of education. Atthis time information and communication technology (ICT) is not used only in theprocess of providing a knowledge, but also as media of evaluation for students.One example is the evaluation of education conducted by the government in theform of a Computer-Based National Examination (UNBK). This study aims todescribe the readiness for the implementation of an independent Computer BasedNational Examination (UNBK) at Muhammadiyah Secondary School 10 Muncarincluding: 1) Why did Muncar Muhammadiyah 10 Secondary School choose totake an independent Computer-Based National Examination (UNBK) preparingfor the independent implementation of UNBK. In this study the researchers useddescriptive methods using a qualitative approach. Research data was obtainedfrom primary sources, namely: Principal, Vice Principal, Vice Facilities, Proctor,Technicians, Teachers and Helpdesk of Banyuwangi Regency. While secondarydata sources from documents relating to UNBK. The results of the study statedthat the 10 Muncar Muhammadiyah Secondary School in Banyuwangi Regencywas ready to carry out an independent Computer-Based National Examination(UNBK), this was evidenced by three stages of the process including: 1) Planningstage; 2) Implementation stage; 3) Evaluation stage. So that Muhammadiyah 10Muncar Secondary School was successful and ready to implement UNBKindependently
A Study on the Hierarchy of Difficulty Setting of the Consonant Allophones in Korean through Recording and Listening Test

During the process in which Chinese students learning Korean, they have difficulty in mastering the pronunciation of consonants and the variation in pronunciation according to  phonological rules. This paper is aimed to help the learners master and learn the pronunciation of Korean consonants well by focusing on the difficulty they meet in learning the consonants and setting the hierarchy of difficulty of Korean consonants through experiments like recording.
GOD 4N 리더십코칭모델 개발에 관한 연구(I)

Raising a Christian leader-coach as an ultimate goal, this study is the first stage of research to develop an integrated Bible-based leadership-coaching model. Raising a Christian leader-coach as an ultimate goal, this study is the first stage of a three-part study to develop an integrated Bible-based leadership-coaching model. Along with the literature review, we first conducted three different group education sessions and focus group interviews with experts and then we carried out the expert content validity of the model. That is, we computed the average score using a 4-point Likert-type scale and content feedback. The experts participating in the expert review are university professors currently writing a PhD thesis on the subject of leadership and coaching, and they are professional coaches who are holding the KAC, KPC, KSC and MCC certificate. After the validity of the model was thoroughly reviewed and approved by the participating experts, the developed model has been named the “GOD 4N Leadership-Coaching Model” where “GOD” stands for God. “Holiness” (Leviticus 11:45) is the core value that this model is pursuing. The GOD 4N leadership-coaching program has two models, conceptual model and practical model. GOD, the conceptual model, is composed of three sub-models, each of which takes the initial letter of “God Father”, “Only Jesus”, “Dream of Holy Spirit”, respectively, and thus G-O-D. Based on the three conceptual models, each model is then further divided into four practical models whose names all start with the letter N, which is G-4N, O-4N, and D-4N. Specifically, G-4N consists of New Life, New Frame, New Practice, and New Attitude, O-4N consists of No Bible, No Bread, No Bed, No Breath, and finally D-4N is composed of Never-ending Coach-Leader, Never-ending Cheerer, Never-ending Comforter, and Never-ending Counselor. The way to become holy is to live a new life everyday based on the Bible and the GOD 4N leadership-coaching model as a guideline. The second stage of this study will be to develop a program that utilizes the GOD 4N leadership-coaching model and to analyze its effect. The names of the programs that will be developed based on this model will be , , and , and all will be approached with ‘The Word Coaching’ methods.
Cryptocurrencies and Risk Mitigation

Since their surge in the last decade cryptocurrencies have gained considerable attention in financial markets, and in academic research. Scholars and practitioners are showing interest in the role of cryptocurrencies as part of investors’ risk management strategies. Understanding how the returns of different cryptocurrencies, and the associated volatilities, relate to the returns and volatilities of other assets (including other cryptocurrencies, stocks, commodities, and bonds, among others) is crucial to derive conclusions regarding the potential hedging and diversification advantages they could offer to investors’ portfolios. The notion of volatility transmission, its intensity and direction, is of importance in explaining the risk management benefits that could stem from adding a specific asset, such as cryptocurrencies, to an existing portfolio.
Performance Analysis of TLS for Quantum Robust Cryptography on a Constrained Device.

Advances in quantum computing make Shor's algorithm for factorising numbers ever more tractable. This threatens the security of any cryptographic system which often relies on the difficulty of factorisation. It also threatens methods based on discrete logarithms, such as with the Diffie-Hellman key exchange method. For a cryptographic system to remain secure against a quantum adversary, we need to build methods based on a hard mathematical problem, which are not susceptible to Shor's algorithm and which create Post Quantum Cryptography (PQC). While high-powered computing devices may be able to run these new methods, we need to investigate how well these methods run on limited powered devices. This paper outlines an evaluation framework for PQC within constrained devices, and contributes to the area by providing benchmarks of the front-running algorithms on a popular single-board low-power device.
Media Moodle dalam Pembelajaran Menulis Forumsbeitrag Mahasiswa Program Studi Pendidikan Bahasa Jerman

Media of Moodle in Writing Skills in Forumsbeitrag the Students of the German Language Education Faculty of Langauge and Literature Universitas Negeri Makassar. This study aims to obtain data and information regarding the use of Moodle on the writing skills of german language Forumsbeitrag in fourth semester students of the German Language Study Program at FBS UNM. Moodle is software that is used to develop and run Internet-based learning that has features such as uploading and sharing material, forums and conversations, quizzes, gathering and reviewing assignments, and recording grades. Forumsbeitrag is writting or written in a discussion forum to discuss a theme. In the Goethe-Institut German standard B1 level exam, Forumsbeitrag is the second part of the writing test. The design of this study is quasi-experimental. The research subjects were 52 students of fourth semester who programmed the course Schriftlicher Ausdruck consisting of 27 students in class A as an experimental class and 25 people in class B as a control class. Data is collected by providing a pretest and posttest in the form of writing Forumsbeitrag. Data analysis was performed through normality test, homogeneity test and t-test. The results showed that t-count = 1.50 < t-table = 2.009 at the 0.05 significance level. This means that Moodle is not effective in learning of writing the Forumsbeitrag for students in the German Language Study Program, FBS UNM.
Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation

Face detection is a prominent research domain in the field of digital image processing particularly in the field of video surveillance systems. Today is the world of video technology starting from low resolution videos to the high definition videos. The videos obtained from surveillance systems are often of low resolution due to the reasons such as distance between the camera and place of footage, environment factors, wide coverage area, installation problems, out of focus, bandwidth issue, hardware constraints, storage space limitations etc. because of which the frames need to be compressed or converted to lower resolution before storage. In this paper, we have worked on motion segmentation based face detection from low resolution surveillance videos. The motion segmentation is used to extract the region of interest from the current frame. Thereafter only the pixels obtained after the motion segmentation are subjected to the face detection process. The haar features based face detection has been used in this work, employing the image scaling to facilitate multi-scale face detection. Considerable search space reduction and efficiency boost has been achieved by proposed motion segmentation technique.
The Tree-Generative Capacity of Combinatory Categorial Grammars.

The generative capacity of combinatory categorial grammars as acceptors of tree languages is investigated. It is demonstrated that the such obtained tree languages can also be generated by simple monadic context-free tree grammars. However, the subclass of pure combinatory categorial grammars cannot even accept all regular tree languages. Additionally, the tree languages accepted by combinatory categorial grammars with limited rule degrees are characterized: If only application rules are allowed, then they can accept only a proper subset of the regular tree languages, whereas they can accept exactly the regular tree languages once first degree composition rules are permitted.