Reviewerly/exHarmony huggingface dataset:
Transitivitas dalam Teks Peradilan Indonesia: Kajian Linguistik Fungsional Sistemik

This article analyzes transitivity in Indonesian judicial texts, particularly Jessica-Mirna's judicial texts. Functional Systemic Linguistic (FSL) theory is used as an analytical tool. The data were collected through document recording with a qualitative descriptive method through the trial process from YouTube. The results of the trial process were transcribed into written data in the form of text. The data were analyzed in stages, namely, (1) classification of judicial text based on the content of the text; (2) text characteristics; (3) analysis using the LSF model. The results showed that the material process was obtained as much as 5,822 (45%) as the first order. The second place is occupied by mental processes obtained as much as 2,064 (15%). The third place is occupied by the forming process, obtained as much as 1,616 (11%). Based on the results of this study, the actions and deeds of the perpetrator were realized through the transitivity of Jessica-Mirna's judicial texts.
THE ERROR METHOD IN THE ORGANIZATION OF STUDYING THE TOPIC «THE CROSS SECTION OF THE POLYHEDRONS»

The main task of the school today is not just to equip students with a certain set of knowledge, skills, and abilities, but also to form their ability to learn, work in a group. Based on the above, it is advisable to use interactive teaching methods in math lessons. One of the most popular strategies for interactive learning is collaborative learning. The article discusses interactive teaching techniques and their features in teaching geometry in high school. Given examples of the application of the «error method» in the study of the topic «The cross-section of the polyhedrons» are given. It is shown that, when discussing erroneous decisions in collaborative learning, students acquire the skills to solve such problems. The article fills in one of the gaps that exist in the methodological literature on the description of interactive methods of teaching geometry in high school.
Introdução à criptografia para administradores de sistemas com TLS, OpenSSL e Apache mod_ssl

The Book of Short Courses of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2019) addresses current topics which are of interest to the community, such as blockchains, network virtualization, urban computing, packet processing, wireless networks, cryptography and data science. In the first chapter, entitled “Segurança na Internet do Futuro: Provendo Confiança Distribuída através de Correntes de Blocos na Virtualização de Funções de Rede” the authors discuss the fundamentals of blockchain, and relate these concepts to research challenges in security in new generation networks. In the second chapter, “Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios”, the authors discuss the notion of Urban Computing, which correlates urban sensing, data management and its analysis to provide services with the potential to improve the quality of life of the inhabitants of large urban centers, and present the necessary steps to develop an application in this area. In the third chapter, “Processamento Rápido de Pacotes com eBPF e XDP”, the authors aim to present the Extended Berkeley Packet Filter (eBPF), which is used for the fast processing of network packets. In the fourth chapter, “Análise de Dados em Redes Sem Fio de Grande Porte: Processamento em Fluxo em Tempo Real, Tendências e Desafios”, the authors present the main methods of sampling, data collection and monitoring of wireless networks, and characterize knowledge extraction as a machine learning problem in processing large volumes of data. In the fifth chapter, “Introdução à Criptografia para Administradores de Sistemas com TLS, OpenSSL e Apache mod_ssl”, the authors address the use of cryptography by students and information technology professionals with little experience in security and encryption. In the sixth and final chapter, “Introdução à Ciência de Dados: Uma Visão Pragmática utilizando Python, Aplicações e Oportunidades em Redes de Computadores”, the authors present, using the Python language and specific libraries, the most used methods to manipulate and analyze data and extract information, applying them to solve problems in the area of computer networks. The six chapters comprehensively address current topics of the community, being a useful resource for researchers and professionals in the area of computer networks and distributed systems.
ALGORITHMIC PROVISION OF ERROR-CORRECTING MULTI-COLORED BARCODE PATTERNS BASED ON GF(p)

Background. In recent years, there has been a steady trend towards the using of multi-colored barcodes. This increases the information density of the data compared to black and white barcodes. However, this complicates the processes of recognition and decoding of bar code images. Therefore, in order to reliably read multi-colored barcodes from an object, it is necessary to ensure noise immunity of bar code patterns – the minimum structural units of the bar code image. Objective. The purpose of the paper is development of a method for the synthesis of symbolics of multi-colored bar codes, which have the property of noise immunity at the level of bar code patterns. Methods. This goal is achieved through the using of multivalued incomplete Hemming codes as the basis for constructing bar code patterns. The numerical equivalent of the bar code pattern is a code word of the multi-valued Hemming code, in which the encoding-decoding operations are performed according to the rules of a finite field GF(p). Results. A number of error-correcting multi-colored barcodes have been proposed, in which one-time distorted element (error) is corrected at the level of barcode pattern and a significant number of multiple distortions are detected. The error-correcting capability of multi-colored barcode patterns has been evaluated. Conclusions. The proposed method of the synthesis of symbolics of multi-colored barcodes allows creating barcodes with improved error-correcting characteristics, which provides the appropriate level of reliability of the process of reading multi-colored barcodes in automatic identification systems.
A MACHINE LEARNING FRAMEWORK FOR AUTOMATED GROUND MOTION PREDICTION

The continuous expansion of seismic catalogs is increasingly challenging the validity of existing ground motion prediction equations.For such real-time data, the transition of ground motion modeling toward automation became eminent.This article put forth a dynamic intelligent ground motion prediction system, automated through a novel hybridization of neural networks with a multi-objective swarm intelligence optimization to facilitate updated predictions.Under the proposed framework, acceleration data are parsed from catalogs in real-time and the continuous stream of seismic data is analyzed to both (i) optimize model predictions and (ii) minimize its computational demand.Though built adaptive to different geographical locations, the system in this article is presented in the context of Turkey.Therefore, real-time strong ground-motion records are obtained from the AFAD database, where the peak ground acceleration (PGA), velocity (PGV), and displacement (PGD) are examined against various seismic variables including earthquake magnitude, source to site distance, average shear-wave velocity, and focal mechanism.The model predictions were verified against a broad testing sample and predictions by various GMPE models for Turkey.Thereafter, the model stability was examined through an investigation into the sensitivity of the PGA, PGV, and PGD predictions to data and parameters' discrepancies.Finally, this article discusses the future potentials and challenges facing the developed framework.
RESEARCH OF THE PROJECT-BASED TECHNOLOGY LEARNING POTENTIAL AS A MEANS OF FORMATION OF ENGINEERS-TEACHERS’ PROFESSIONAL MOBILITY

The article substantiates the expediency of using project-based learning technology as a means of forming future engineers-teachers' professional mobility in the computer technology area. This is due to the general trends of the modern economy and the growing role of specialists’ professional mobility in the technology modernization in all industries. It has been emphasized that project-learning technology is an important component of professional training of future specialists in engineering and pedagogical education. It has been established that the organization of the above-mentioned technology is based on project activities that contribute to the educational process adaptation to innovative changes. The methodology of engineers-teachers' professional mobility formation in the computer technology area, which provides project-based learning technology application, has been proved. It has been noted that the use of project-based learning technology in professional mobility formation contributes to the intensification, efficiency and quality of the educational process. The range of problem-based learning methods (active, contextual, research, interactive, computer), which are the basis of project technology and expand the integration possibilities of engineering and pedagogical knowledge to solve professional problems, has been described. The efficiency of project-based learning technology in forming future engineers-teachers' professional mobility in the computer technology area has been proved. Emphasis has been placed on activating the need to reflect on one’s own experience, perform research, realize professional creativity essence, and develop the ability to professional design.
Specific Features of Three Newly Published English Textbooks for Elementary School in Japan – A Quantitative Study of the Textbooks

As Japan starts English education at the primary level in 2020, the study looks at three sets of English textbooks for the primary level through quantitative analyses. The objective of the study is to find specific features of each textbooks through quantitative analyses, because quantitative studies are known to be useful objective information which qualitative studies often fail to miss. The vocabulary-size analysis shows the following. First, Crown Jr. textbooks have the largest vocabulary size, second, the Correspondence Analysis shows that Crown Jr. textbooks seem to contain some Jr. high school level grammar, and third, Grade 5 textbooks of Junior Sunshine and New Horizon Elementary focus on the alphabets, singing and chanting, and school life; that Grade 6 textbooks of New Horizon Elementary and Junior Sunshine have materials on international foods and culture, and that both grade 5 and 6 textbooks of Crown Jr. contain more third-person sentences. The study believes these findings would provide useful information for those who are engaged in primary and secondary English education in Japan.
Learning to Learn Semantic Factors in Heterogeneous Image Classification

Few-shot learning is to recognize novel classes with a few labeled samples per class.Although numerous meta-learning methods have made significant progress, they struggle to directly address the heterogeneity of training and evaluating task distributions, resulting in the domain shift problem when transitioning to new tasks with disjoint spaces.In this paper, we propose a novel method to deal with the heterogeneity.Specifically, by simulating class-difference domain shift during the metatrain phase, a bilevel optimization procedure is applied to learn a transferable representation space that can rapidly adapt to heterogeneous tasks.Experiments demonstrate the effectiveness of our proposed method.
Signature Identification Menggunakan Metode Template Matching dan Fuzzy K-Nearest Neighbor

Abstract — Signature is the result of the process of writing a person of a particular nature as a symbolic substance, which means a symbol or mark. Signature is usually used as an identifying mark of a person, each person must have his own signature in a different pattern. Because it's used as a person's identifying badge, Signatures now become particularly susceptible to counterfeiting and abuse that require check with a signature pattern recognition. This research has created a signature pattern recognition system using methods Template Matching and Fuzzy K-Nearest Neighbor to help recognize a person's signature pattern. The number of signatures used is 110 in two categories: the original signature with 100 data and the false signature with 10 data, and there were 10 classes taken using smartphone cameras. From this research, it was found that the best value from the image size of 200x200 pixels was 92% of the class that owned the signature legible, Positive Predictive Value (PPV) 88% and False Rejection Rate (FRR) 12%, with a k=3 on the original signature, and 90% of the class that owned the signature legible, Negative Predictive Value (NPV) 90% dan False Acceptance Rate (FAR) 10% with a k=9 on the false signature. From these results, it could be concluded that methods Template Matching and Fuzzy K-Nearest Neighbor could be used for signature pattern recognition.
EDUCATIONAL CONDITIONS FOR THE DEVELOPMENT OF HEALTHY LIFE STUDENTS

The problem of population health decline has become increasingly relevant in the recent years as the increase of diseases, mortality and shortened life expectancy is being witnessed. The state of health of today's youth is an important component in generalizing parameters of the nation’s health. The health of the nation is an essential indicator of the social and economic development of the state, and the health of young people is its future. The economic, intellectual and cultural potential of our country directly depends on the health indicators of the future generation. Therefore, modern and world youth should be able to work both physically and intellectually demonstrating a high professional level. It is difficult to overestimate the importance of good health in the implementation of man’s own plans, the successful solution of life tasks and the overcoming of labor in modern conditions of computerization, demographic problems, deterioration of the ecological state of the Republic of Kazakhstan, changes in social conditions of life. The purpose of this article is to study and analyze the pedagogical conditions for the development of a healthy lifestyle for students. The article also proposed ways to solve this problem.
FAST IMPLEMENTATION OF DIGITAL WATERMARKING SCHEMES BASED ON ARNOLD AND DISCRETE WAVELET TRANSFORMS

Abstract. In recent years, digital watermarking of photo and video materials has become more and more important in connection with the transmission of multimedia data over unsecured communication channels. Digital watermarking allows to reduce the amount of transmitted information and to protect embedded metadata. Improving robustness and security of embedded data increases computational costs, which obstruct usage of digital watermarks in mobile devices. In this research, we propose a number of improvements to the digital watermarking process based on Arnold and discrete wavelet transforms to reduce the computational cost. Considering the watermark as a linear sequence of pixels allows us to speed up its processing. The two-dimensional lookup table allows performing an Arnold transform in constant time regardless of the number of iterations. Number of iteration for each block of watermark is determined using hash function applied to the secret key. Also, the structure of the lookup table is proposed to accelerate the embedding of watermark. This table allows to determine the frequency coefficients for embedding based on the key hash code. Proposed improvements allow to speed up the watermark preparation by an average 14 times and the overall embedding process by 1.22 times for 1920×1080 images.
Automatic Makers as a Source for Olympiad Tasks

Automatic maker is meant as a device to produce (or compose) things by itself, by a model, customization or a program. Nowadays the most advanced automatic makers in mass use are 3D-printers.The purpose of the paper is to present methods of generating various Olympiad tasks by using evident images of virtual automatic makers. As a perspective, production (performing) of processes is also considered (as automatic 4D-makers). Besides of the main operation: putting a pixel (voxel), the following primitives with virtual things can be involved: cutting; gluing; putting a building block; erasing a building block; copying a fragment, (for 4D-) shifting a building block. Tasks are generated naturally: to make a given thing (perform a given simple process) optimally in any sense (with respect to time; to number of primitives; to number of building blocks etc.). Such tasks are well-understood, have short formulations and are difficult to be solved even with initial data of small volume; a “brute force” method is either inapplicable or gives too overestimate of complexity.
Simulasi Prakiraan Dan Klasifikasi Hujan Wilayah Kota jakarta dengan Metode Decision Tree

Rain is a natural occurrence that occurs in the hydrological and climatic circulation. Based on the ups and downs of the hydrological circulation, one of the sources of water is rain. rain is very useful in life, because rain can meet the needs of water for living creatures. However, rain can also cause floods. A flood tragedy can cause loss and casualties. Then our activities are checking the forecast simulation forecast and rain classification using the accurate decision tree method. We take forecast and classification data because the weather in DKI Jakarta is currently very difficult to predict. Next, we use a decision tree for data mining with a dataset spanning 5 years from 2011-2015. The problem here is the weather in DKI Jakarta which is very difficult to predict.
Making Smart Mirror and Interactive using IOT

There is never an end to devices that can be made smarter with the help of adequate technologies. A smart mirror is a system that functions as a mirror with some additional features including date, time, current temperature, weather details. This paper represents the design and working of a smart mirror using Raspberry Pi. All the features are displayed on a monitor which is covered with a sheet of two-way mirror. The monitor is enclosed in a wooden frame. The computing is done with the help of Raspberry Pi.
The Effect of Duolingo on the Writing Competency of the Tenth Grade Students of SMK N 1 Sukasada in Academic Year 2017/2018

This research aimed to investigate whether or not there was a significant effect of the use of Duolingo on the writing competency of the tenth grade students of SMK N 1 Sukasada in academic year 2017/2018. This quasi-experimental research employed post-test only control group design. The population of this research was all the tenth grade students of SMK N 1 Sukasada. This research administered cluster random sampling to determine the sample. The independent sample t-test was administered to examine the equality of both groups and decided X AP1 became the experimental group and X AP2 as the control group. The treatment was given to both groups in which the experimental group treated by using Duolingo and the control group was treated by using conventional teaching media. At the end of the treatment, the post-test was administered to both groups and the result was analyzed using descriptive and inferential statistics by applying independent sample t-test. Based on the result of the descriptive analysis, the students in experimental group could gain better score than the students in control group. Moreover, the result of inferential analysis shows that the result of the independent sample t-test which tobs was higher than tcv. The result of the questionnaire also shows that students like to use Duolingo in the classroom and it helps them in their writing. It means that the implementation of Duolingo contributes significant effect to students’ writing competency of the tenth grade students of SMK N 1 Sukasada in academic year 2017/2018.
Communicative Distance Learning Strategies As A Recreational Resource Of The Digitalization Era

The relevance of the article is due to the challenges of the world pandemic time has proved the need to expand and improve educational opportunities at all levels of education.The purpose of the article is to identify and justify the communication strategies of distance learning as recreational resources that contribute to the improvement of pedagogical activity and optimize the distance learning process.The article presents the results of the reflection of the social effect of training courses for teachers of social institutions conducted as part of the Charitable Foundation "Way of life" project (Moscow, Russia) with the advisory and expert support of researchers from the Institute of Pedagogy, Psychology and Social Problems (Kazan, Russia).Opportunities, gaps and problems of training for the systematic replenishment of relevant scientific and theoretical knowledge and skills in various fields of pedagogical activity in the distant mode are evaluated.The content of the communicative strategies proposed by the authors that facilitate the adaptation of students to digital reality without essential losses in the social significance of learning is disclosed.Authors describe how to overcome various risks using authors' communication strategies -including the risk of losing emotional contact with the audience.The proposed communication strategies of distance learning can be implemented both for the education of children and adults, as well as in the framework of inclusive online education.
PLOSIVE CONSONANTS IN ENGLISH AND MINANGNESE

This Study deals with plosive consonants in English and Minangnese. The method of research used was descriptive qualitative method. It was conducted to find out the similarities and differences between English and Minangnese plosive consonants in investigating the learning problems of English by Minangnese speakers. In conducting the data, documentary and recording technique were done. Then, the data were analyzed based on the four procedures of Randal Whitman (1970). Those are description, selection, contrast, and prediction. The findings indicate that there were similarities and differences between English and Minangnese plosive connsonants. The similarities are in the place of articulation at bilabial [b, p], alveolar [d], and velars [g, k] in initial and medial positions, and in their state of the vocal cords, having the same voiced and voiceless sound. The differences are in their numbers, allophones, final positions, aspirations, and the place of articulation at [t] sound, which is alveolar in English but it is dental in Minangnese.
Detection of Crime Patterns in Digital Forensic Investigation to Trace the Adversaries

The use of the internet has increased significantly over the past couple of years. Access to the internet has become so common that a person without computer knowledge can also use this facility easily. This ease of availability has provided a lot of benefits to society but on the other hand misuse of the internet for personal or corporate benefits is also increasing. To prosecute cybercriminals and make some lawful checks on everyone's digital activities, digital forensic science comes into the light. In this context, we developed a new framework that improves the digital forensic investigation process. This research paper proposes a method in which we can identify the illegal activities and trace the adversaries. We capture the TCP (Transmission Control Protocol) packets from the servers and workstations. This data collected from the TCP log is stored in the database and preprocessed to eliminate redundant data. Furthermore, the database also contains past data. The proposed framework has three major processes collection of TCP packets, storing and preprocessing of collected data in a database, and mining of the pattern through a digital forensic anomaly collection algorithm. For the evaluation of our proposed framework, we have developed a java based application. The results are shown in the form of reports and tables.