Reviewerly/exHarmony huggingface dataset:
Randomized symmetric McEliece cryptosystem based on generalized Reed-Solomon codes

One of the actual problems of modern cryptography is the design of practical post-quantum cryptosystems whose security is based on the complexity of solving one computationally challenging problem, in the same way as the security of the RSA cryptosystem is based on the complexity of integer factorization. A promising class of such cryptosystems is formed by code-based cryptosystems the first asymmetric of which is the McEliece cryptosystem. The purpose of this work is to design and research a symmetric version of the McEliece cryptosystem based on generalized Reed-Solomon codes. These codes were chosen because they exist for all natural values of the parameters (the length and dimension of the code) and they are maximal distance separable allowing a wide range to change the characteristics of the relevant cryptosystems. In addition, very fast decoding algorithms are known for these codes. Asymmetric cryptosystems based on the generalized Reed-Solomon codes are not secure because for them there are efficient algorithms for recovering private keys from public keys.A symmetric code cryptosystem is proposed that is more efficient (in terms of the length of the secret key for given security requirements) compared to the LPN-C cryptosystem. An estimate of the security of the proposed cryptosystem relative to an attack with the chosen plaintext is obtained and an algorithm for selecting parameters for constructing this cryptosystem is proposed. The proposed cryptosystem is compared with the LPN-C cryptosystem along the key length for a given lower limit of security to the attack in question.
Geological Survey of Western Australia: AusAEM20–WA Stage 1 underway

Data acquisition in Stage 1 of the AusAEM20-WA project is underway. This project (see Preview 205 April 2020, https://doi.org/10.1080/14432471.2020.1751781) is funded by the Western Australian Gove...
Publication activity as an indicator of scientific status

The scientific seminar “Publication Activities and the Russian Science Citation Index (RSCI)” was held at the Peoples’ Friendship University of Russia (RUDN University) by Pavel Arefyev, head of the eLIBRARY.ru analytical department. He spoke about the problems of modern science, the motivation of scientists and how to optimize publication flows when focusing on quantitative indicators. The speaker answered questions about scientometric indicators and about the RSCI system - a bibliographic database that contains a description of scientific forms of publications, journals, proceedings of conferences, monographs, dissertations, patents.
Radiology Seminars with Guest Professors in the Virtual Environment Second Life®: Perception of Learners and Teachers

Nine professors of radiology from six different cities were invited to give a 1-hour seminar in the virtual world Second Life® to 154 third-year medical students from the University of Málaga. Students and teachers performed a questionnaire about the cognitive load that implies receiving/teaching seminars inside Second Life@ and several characteristics involving the experience. This experience was considered remarkably enriching by teachers and learners and opens new interesting pathways for educational contact between students and teachers from different universities, with the advantages of reducing costs and travel time.
PROTOYPE MONITORING PRESENSI SISWA MENGGUNAKAN FINGER PRINT DENGAN KENDALI RASPBERRY PI

One character that can be shaped in students at school is discipline. The exact time to enter school is one of the criteria for discipline that is applied in the Aliyah Negri 2 Ponorogo Madarasah. In order to improve information services to student guardians, MAN 2 Ponorogo changed the way manual attendance was made to students with fingerprint technology. But there are shortcomings in the use of fingerprint machines, the presence data on the machine is not real time in reporting student attendance to schools and student guardians. The solution is to integrate a fingerprint machine with Raspberry pi control. The Raspberry pi will automatically process the presence data inside the fingerprint machine so that it can be accessed via the web wherever the user is located and automatically sends the attendance report to the guardian using the telegram media. The design of this study uses the waterfall method in designing application prototypes and the results are tested using the blackbox method with a boundary value analysis technique. In subjective testing the system will be tested using a questionnaire about the ease of using the system to users.
Progressive Sampling Algorithm with Rademacher Averages for Optimized Learning of Big Data: A Novel Approach

Sampling of Big Data for its analytics is a tedious task.Progressive Sampling Algorithm (PSA) is a primary tool adopted elsewhere to produce minimal training data set for learning algorithm used in Big Data Analytics.PSA can be characterized by its underlying initial sample size selection ,sampling schedules and stopping criterion are suggested along with process flow of PSA in generating adequate number of samples for training data set.operations used such as initial sample size, sampling schedule and stopping criterion.Training data set is a determining factor of traing cost, computational cost and learning model accuracy.Rademacher Averages Bound of Sampling can be used to bound the sampling process.This paper suggests novel ways to underlying operations of PSA and scope for significant reduction of the cardinality of training dataset while retaining the behavior of Learning model's Accuracy within Probably Acceptable Correct(PAC) Framework using Rademacher Averages Bounds.
The Optimization of Transfer Learning Convolutional Neural Network Model with PCA and t-SNE Algorithms for Classification and Recognition of CIFAR-10 Image

The low accuracy when performing the image classification process is a problem that often occurs. The image classification process requires the completeness of the features of the image which form an informative image pattern so that information from the image can be displayed. The purpose of this study is to classify images in the CIFAR-10 image dataset using the CNN method. Initially the CNN method gave an accuracy of 79.4% but had a long computation time of 12 hours with 10,000 iterations. The optimization process for the CNN method is carried out by combining the CNN method, the PCA algorithm and the t-SNE algorithm. The algorithm is used to reduce the length of the image matrix in the initial transfer of learning without reducing the information in the image so that the classification process can be done correctly. The final result obtained from the optimization has an accuracy of 90.5%. With an optimization rate of 11%. The resulting time is more efficient, namely 3 hours for the feature transfer-value process and 6 minutes for the testing process with 10,000 iterations.
The Implementation of Module Based on Jigsaw Learning Model to Improve Students’ Grammar Understanding for Non Formal School (Package B) Students in Pariaman City

This research is motivated by the limitation of English language teaching materials in a non-formal institution of Pariaman city that can improve students' grammar understanding.The purpose of this study is to see a comparison of students' grammar understanding before and after the implementation of a module based on the jigsaw learning model.The type of this research is quasi-experimental, with a total sample of 15 package B students enrolled in PKBM Center BKM Bina Saiyo in Pariaman with academic year of 2018/2019.The data analysis technique used is the parametric statistical test in the form of a paired sample t-test.The conclusion of this study is that there is a significant difference in grammar understanding before and after using the Jigsaw learning module.
Digital Image Quality Prediction System

&ldquo;A picture is worth a thousand words.&rdquo; Based on this well-known adage, we can say that images are important in our society, and increasingly so. Currently, the Internet is the main channel of socialization and marketing, where we seek to communicate in the most efficient way possible. People receive a large amount of information daily and that is where the need to attract attention with quality content and good presentation arises. Social networks, for example, are becoming more visual every day. Only on Facebook can you see that the success of a publication increases up to 180% if it is accompanied by an image. That is why it is not surprising that platforms such as Pinterest and Instagram have grown so much, and have positioned themselves thanks to their power to communicate with images. In a world where more and more relationships and transactions are made through computer applications, many decisions are made based on the quality, aesthetic value or impact of digital images. In the present work, a quality prediction system for digital images was developed, trained from the quality perception of a group of humans.
Recent Evolution and Status of Online Homework Systems for Teaching Introductory Astronomy

Internet-delivered, automatically-graded, online homework systems are becoming ever easier for college science teaching faculty to adopt and integrate into existing learning management systems. In this sense, online homework systems have great potential to extend the amount of time on task students allocate to learning astronomy without overburdening already overextended, busy professors. At the same time, the systematic education research surrounding the use of online homework systems is less conclusive, with both benefits and disadvantages being reported in the literature. Moreover, some student advocates lament the financial burden to students and the negative optics about instructors’ commitments to teaching. In the end, an ASTRO101 professor’s decisions about whether or not to adopt online homework systems are complex and insufficiently supported by compelling education research data and by and large depend heavily on both a professor’s teaching philosophy and the academic context in which the students are learning.
Spatial reference frame based user interface design in the virtual reality game design (P)

Virtual reality (VR) creates a virtual environment for learning and education as its strong sense of presence and real-time interactivity.Much research focus on the issues of VR hardware and platform, however, little research involve the design of user interface in VR systems.Different from other interface, a VR interface is designed as a floating menu that virtually presented in the front of users.This paper aims to investigate the influence of user experience from the various spatial reference frames and how three spatial reference frames based user interface and the sense of presence impact user performance in the virtual environment.We developed a VR game for fire safety training and evaluated three types of VR user interface commonly used in VR systems.Sixty participants were involved in this evaluation based on the task completion times, completion rates and error rates.Our results show that the spatial reference frames can be critical important to the user experience when users interact with the game in the virtual environment.We found that the user interface of different spatial reference frames also has significant difference in the sense of presence and user performance of virtual environment.
Collective Subject in Implementation of STEM Technologies in Engineering Education

Provision of quality of engineering education upon implementation of international CDIO initiative (Conceive – Design – Implement – Operate) results in implementation of new education technologies, in particular: STEM (Science, Technology, Engineering, Mathematics). Its implementation allows to solve a set of educational issues concerning motivation of students from the first day by using integrated practically oriented assignments, step-by-step immersion into designing activity. Interdisciplinarity and integration, inherent in the STEM technology, assume moving out of a teacher as a holder of educational situation from his disciplinary area, would demand to be a co-participant of a student activity, his initiative in solving creative tasks. Successful realization of STEM technology depends significantly on new competences of teachers and managers, their capabilities to significant modifications of their occupational activity. Difficulty of implementation of STEM technology is related with unpreparedness of teachers and managers. This work is aimed at substantiation of necessary conditions providing readiness of managers, teachers, and students to implement the STEM technologies characterized as a collective subject. The experimental results serve as theoretical substantiation of the concept of formation of collective subjects (managers, teachers, students), determination of new functionality of managers, teachers, students, stepping of this process to provide implementation of STEM technology. The practical implementation was performed at the Federal innovation platform of Siberian Federal University: Model of system modifications in multilevel engineering education.
The management structure of digital educational data systems and organizational approaches to modeling and analysis of educational data in the countries of the world

The article presents data from the international analysis of national educational databases. The characterization of educational databases was carried out according to a number of several criteria. Based on the results of the study, conclusions are drawn about the general properties and differences between Digital systems of educational data and educational statistics in different countries and the dependence of differences on a number of factors. The grounds for making managerial decisions based on the analytics of educational data and the distribution system of functions in the management structure of digital educational databases are described.
The axiological aspects of the relationship between the human and artificial intelligence in the context of futurist conceptions of the XXI century’s beginning

The purpose of the article is to determine the idea of artificial intelligence researches’ independent development, which will give it the opportunity to develop without any restrictions and investigate itself. In order to this, the man has to create comfortable conditions for such development. &#x0D; This process manifests the stages of the sacrificial movement of a man to the inevitable result of the «loading values» into the imitation system. &#x0D; The methodology of the research consists of the comparative-historical method, the philosophical and dialectical one, and the phenomenological approach. &#x0D; In addition, there are methods of analogy and complex analysis, based on the principle of the unity and synthesis of the certain areas of the natural sciences and philosophical and cultural knowledge, in particular in the ethical and axiological sphere. &#x0D; The scientific novelty of the article is in the analysis of axiological aspects in the relationship between the man and the artificial intelligence in the context of the futurist conceptions of the beginning of the XXI century. &#x0D; For the first time, it is outlined the issue of the victim as the existential concept of human technological development. The article concludes that the cognition is a destructive process and a poison itself. In our opinion, it concerns only the human. &#x0D; This issue is open for the processes that accompany the emergence and formation of the artificial intelligence. Its origins are in the word evolution. At this stage, the world is open to man only externally, because we as its part cannot be both a part of the system and its substructure (K. Gцdel). &#x0D; This means that the person remains unknown to him- or herself. In the attempts to destroy this state of affairs, we transfer our attention to the external world and destroy it so that it collapses with us. So, we become the creators and objects of the second type of victim. Thus, a person is faced with the choice to change nothing or complete the destruction of the existing one. In our formulation, the prospect of studying this topic is the ethical-axiological and ontological analysis of the «love» category in the context of artificial intelligence development and in its approaches, highlighted in the article, to understand the concept of the victim.
THE 1991 SEISMIC CRISIS IN THE WEST OF ROMANIA AND ITS IMPACT ON SEISMIC RISK AND HAZARD ASSESSMENT

The paper represents a multidisciplinary investigation of the relation between seismicity, active stress field and geological structure for the West of Romania.The study is based on revised and updated catalogues of earthquakes (3572 events) and focal mechanisms (89 solutions).The large spatio-temporal variations of the stress tensor parameters, b-value (b=0.74-0.81)and fractal dimensions of seismicity (D=1.05-2.34)highlight both clustering patterns along active fault systems and scattered epicentres within planes or volumes.A tectonic model with at least three blocks bordered by active faults is proposed controlling SHmax trend: it rotates clockwise in time and 3D space by up to 90 0 along with the changes of the stress regime from the compressional to extensional and activity migration between two major and complex fault systems.Low b-values characterize the regardless of the size of data source, but the smaller source/dataset, with or without aftershocks included, ensures a more realistic estimation of seismic hazard that is confirmed by seismic history (Tr_Mw5.5 = 76 years).
Optimizing Virtual Resources Management Using Docker on Cloud Applications

This study aims to optimize servers with low utility levels on hardware using container virtualization techniques from Docker. This study's primary focus is to maximize the work of the CPU, RAM, and Hard Drive. The application of virtualization techniques is to create many containers as each of the containers is for the application to run a cloud storage system with the CaaS service infrastructure concept (Container as a Service). Containers on infrastructure will interact with other containers using configuration commands at Docker to form an infrastructure service such as CaaS in general. Testing of hardware carried out by running five Nextcloud cloud storage applications and five MariaDB database applications running in Docker containers and tested by random testing using a multimedia dataset. Random testing with datasets includes uploading and downloading datasets simultaneously and CPU monitoring under load, RAM, and Disk hardware resources. The testing will be done using Docker stats, HTOP, and Cockpit monitoring tools to determine the hardware capabilities when processing multimedia datasets.
Identification of provisional Centres of Excellence for digitisation of European natural science collections

Digitisation of natural science collections is fundamental to the vision for the Distributed System of Scientific Collections (DiSSCo), and given the low proportion of collections digitally accessible, it is proposed that ‘Centres of Excellence’ be developed to accelerate the creation of digital copies of original specimens. Within the ICEDIG project, a team of scientists from across the consortium explored the concept of Centres of Excellence and have constructed a toolset to help identify these centres to support the development of DiSSCo. This report documents this process and describes the toolset.
Recommendation of Movies based on Collaborative Filtering using Apache Spark

Nowdays, Recommender Systems (RS) had become more often and trendy as movie provides enhanced entertainment, Movie Recommender (MR) is most important in our social life.Such a Recommender system can suggest a variety of movies to users on the bases of their ratings, interest or the popularities of the movies.In this study we emphasize to execute Recommendation Algorithm using Apache Spark a machine learning tool, in Hadoop File System (HUE) basis to ensure a scalable system to process huge data sets effectively..The study helps to know the information about maximum ratings along with the count of users who have rated a movie and briefing about all the top most movie prediction for an individual and how often they have rated movie.Eventually the approach is obsessed with the performance of MR mechanism from ALS under various lambda values, iteration further evaluation is performed using RMS (Root Mean Squared) Error of classification forecast which is capable of creating an appropriate rating prediction for movie Recommender.
Differential filtering algorithm for robot welding seam image enhancement

Abstract The low resolution of the welding seam recognition image during robot welding will affect the welding accuracy, and the cost of high-resolution cameras is higher. Therefore, in this paper, the geometrical processing of the bilinear interpolation method for the welded seam pictures taken by the low-resolution camera was used to obtain a high-resolution image. This paper proposed a differential filtering algorithm based on Gaussian filtering and bilateral filtering, to eliminate the fine lines, noise and enhance the weld feature value for the obtained high-resolution image, thereby ensuring the welding accuracy. Finally, through the image processing experiment of increasing the 1.25 million pixel weld image to 5 million pixel weld accuracy, the effectiveness of the image enhancement method proposed in this paper was proved.
Training of Professional Pedagogues in Modern Socio-Economic Conditions of Higher Education

The article presents the actualization of the methodological base for the design and realization of educational programs for professional training of pedagogues under the socio-economic conditions of the higher education system. The study objective is to identify and describe the principles of the design and realization of educational programs for professional training of pedagogues in modern socio-economic conditions. The main methods of the study include a comparative analysis of scientific literature and modeling. Based on the interdisciplinary comparative theoretical analysis of economical concepts and education system phenomena, the principles of the design and realization of educational programs in modern socio-economic conditions are defined as the result of the study through the means of modeling the processes of professional pedagogues’ training.
Distance Learning: Theory and Practice

This article discusses the process of active implementation of online learning modes based on digital technologies. Currently available theoretical postulates and recommended procedures of learning activities have been verified in practice during the course in History in Financial University under the Government of the Russian Federation. On this basis, certain experience of seminar classes has been accumulated (online conversations, discussions, presentations, webinars), this article is devoted to its analysis and generalization. The author has concluded that digital technologies diversify the classes and possess numerous tools to enhance motivation of students. The obtained results make it possible to state that application of several methods has been activated, such as brainstorming, mind games, metal mapping, interactive enquiries, testing and guessing games using learning platforms, for instance: Kahoot. Meanwhile, well balanced combination of the existing conventional learning modes and modern digital technologies makes it possible to provide even greater effect and result.