Reviewerly/exHarmony huggingface dataset:
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs

This paper studies the distribution estimation of contaminated data by the MoM-GAN method, which combines generative adversarial net (GAN) and median-of-mean (MoM) estimation. We use a deep neural network (DNN) with a ReLU activation function to model the generator and discriminator of the GAN. Theoretically, we derive a non-asymptotic error bound for the DNN-based MoM-GAN estimator measured by integral probability metrics with the $b$-smoothness H\"{o}lder class. The error bound decreases essentially as $n^{-b/p}\vee n^{-1/2}$, where $n$ and $p$ are the sample size and the dimension of input data. We give an algorithm for the MoM-GAN method and implement it through two real applications. The numerical results show that the MoM-GAN outperforms other competitive methods when dealing with contaminated data.
Chance-Constrained Planning for Dynamically Stable Motion of Reconfigurable Vehicles

&lt;p&gt;In this paper, a computationally efficient chance-constrained rollover-free motion planning method is presented. Specifically, the method is developed to plan motions for reconfigurable vehicles with the knowledge of a 3-D terrain model that has limited accuracy. The overall motion planning problem is formulated as a nonlinear optimal control problem (NOCP) that employs a constraint in the form of a bound on the probability of rollover under terrain-induced vehicle orientation uncertainty. To increase the computational efficiency of the NOCP, a geometric interpretation of the chance constraint is derived based on the characteristics of SO(3), the 3-D rotation group. Monte Carlo simulations are provided to demonstrate the usefulness of the geometric interpretation through comparisons with other methods. Experimental data gathered from driving a mobile robot through real forests are also used to validate the proposed model. Finally, path and trajectory generation results obtained with the proposed planning method for a feller-buncher machine traversing through uncertain 3-D terrain are presented to showcase the method's overall performance and efficiency.&lt;/p&gt;
Technological bases of the professional training and education in agrarian sphere applying distance learning

Introduction. Didactics bases of introduction are analysed in the educational environment of administrative conceptions and information technologies in the conditions of distance education. The technological stages in the process of professional preparation of agrarians are based on the pedagogical technology of management of educational and creative activity of students. Research methodology was determined by various methodological approaches (system, аctivity, competence, personality-developing). The purpose of the article is to research the development of complex educational and creative activity of students in the conditions of training agrarian sphere students in educational SMART - environment. Results. It is outlined that a single informative environment of higher scientific establishment, in which automation of pedagogical processes is provided for a network contact in the interactive mode of competitors and teachers must be basic organization of the distance education. The pedagogical model of the distance education organization in the conditions of network technology management of educational and creative activity of students is offered. Didactics complexes, methods, forms and facilities of realization of pedagogical technology management of educational and creative activity of students in the conditions of educational SMART -environment are grounded. Realization of this pedagogical model in the system of distance education allows to activate creative activity of students considerably, to deepen the level of independence and indi-vidualization of studies, and, the result is determined by the high level of formed professional and creative competence of future specialists. Conclusions. Obviously, the basis for organizing distance education is telecommunication environment, which in-cludes information, educational, methodical and didactics contents. Experimental results showed the substantial increase of high-quality indexes of the professional training of agrarian sphere students (level of independence, individualization, creative experience, scientific character, productivity). Keywords: professional training of agrarian sphere students, educational SMART-environment, distance learning, distance educational complex, educational and creative activity; pedagogical network technology of management of educa-tional and creative activity of students.
Evolution of Controllers for the Speed Control in Thyristor Fed Induction Motor Drive

Induction Motors (IMs) are now becoming the pillar of almost all the motoringapplications related to the industry and household. The practical applications of IMs usually requireconstant motoring speed. As a result, different types of control systems for IM's speed controlling havebeen shaped. One of the important techniques is the utilization of thyristor fed drive. Although, thethyristor fed induction motor drive (TFIMD) offers stable speed performance, the practical speed controldemand is much more precise. Hence, this drive system utilizes additional controllers to attain precisespeed for practical applications. This paper offers a detailed review of the controllers utilized with thethyristor fed IM drive in the past few decades to achieve good speed control performance. The clear intentof the paper is to provide a comprehensible frame of the pros and cons of the existing controllers developedfor the TFIMD speed control requirements.&#x0D; Keywords: Thyristor Fed Drives, Induction Motors, Speed Controller, Conventional Controllers, andSoft Computing Techniques.
Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future Directions

&lt;p&gt;Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to developing UI lies in the involvement of the large number of network devices, which contribute their data to collaborative Machine Learning (ML) and provide their computational resources to support the learning process. Federated Learning (FL) is a new ML method that enables data owners to collaborate in model training without exposing private data, which allows user devices to contribute their data to developing UI. Edge computing deploys cloud-like capabilities at the network edge, which enables network devices to offer their computational resources for supporting FL. Therefore, a combination of FL and edge computing may greatly facilitate the development of ubiquitous intelligence. &lt;/p&gt; &lt;p&gt;In this article, we present a comprehensive survey of the recent developments in technologies for combining FL and edge computing with a holistic vision across the fields of FL and edge computing. We conduct our survey from both the perspective of an FL framework deployed in an edge computing environment (&lt;em&gt;FL in Edge&lt;/em&gt;) and the perspective of an edge computing system providing a platform for supporting FL (&lt;em&gt;Edge for FL&lt;/em&gt;). From the &lt;em&gt;FL in Edge&lt;/em&gt; perspective, we first identify the main challenges to FL in edge computing and then survey the representative technical strategies for addressing the challenges. From the &lt;em&gt;Edge for FL&lt;/em&gt; perspective, we first analyze the key requirements for edge computing to support FL and then review the recent advances in edge computing technologies that may be exploited to meet the requirements. Then we discuss open problems and identify some possible directions for future research on combining FL and edge computing, with the hope of arousing the research community’s interest in this emerging and exciting interdisciplinary field. &lt;/p&gt;
Non-formal education at the level of management of the class / student group

The article recovered on some methodological ways to achieve non-formal education in the management of the class / group of students. In this sense, the need to ensure the integration of education in school has become current in the paradigm of national curricular reforms, with the emphasis on the role of non-formal and informal educational influences. For the efficiency of the general education system and process, pedagogical actions of non-formal activities are approached. The theoretical and praxiological approaches of the research elucidate the benefits of ensuring the implementation of non-formal extracurricular / extracurricular activities. Thus, at the level of quality, the responsibility for its organization lies with the decision makers, managers, teachers and all actors of general education.
An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams

Bitcoin is the most common cryptocurrency involved in cyber scams. Cybercriminals often utilize pseudonymity and privacy protection mechanism associated with Bitcoin transactions to make their scams virtually untraceable. The Ponzi scheme has attracted particularly significant attention among the Bitcoin fraudulent activities. This paper considers a multi-class classification problem to determine whether a transaction is involved in Ponzi schemes or other cyber scams, or is a non-scam transaction. We design a specifically designed crawler to collect data and propose a novel Attention-based Long Short-Term Memory (A-LSTM) method for the classification problem. The experimental results show that the proposed model has better efficiency and accuracy than existing approaches, including Random Forest, Extra Trees, Gradient Boosting, and classical LSTM. With correctly identified scam features, our proposed A-LSTM achieves an F1-score over 82% for the original data and outperforms the existing approaches.
The Impact of Education and Technology on Sustainability and Profitability in the Banking Sector

The article reflects on the impact of financial education and technology on sustainable development methods for banks of the three global players (US, Europe and Asia-China) during the period between the global financial crisis and the pandemic crisis.The first two parts of the research highlight the relationships between the financial literacy and the degree of technological development of these three banking systems along with the results of other significant research on this issue.The third part of the research comprises the empirical study based on a series of indicators that can be assimilated to financial education and technological development, relevant indicators to the performance of the banking system, as well as indicators that can be assimilated to sustainability.The sample of analyzed countries contains a selection of 29 countries on three continents (USA, Europe and Asia-China) over a 12-year period between (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020).The selection of these countries was based on the fact that together they account for about 62% of the world's GDP.The empirical study was based on the use of the Autoregressive Panel Vector methodology in order to identify the inter correlations between the indicators used in the research.Thus, the impact of each variable related to financial education and technology development in the short and long term was identified.The fourth part highlights the obtained results, together with qualitative correlations that add value to the research.
Digital Competence Of Compulsory General Education Teachers In The Present-Day Conditions

The purpose of the research was to analyse the digital competence of compulsory general education teachers and to create a model for improving functional literacy of all parties in educational relations.The paper covers the major steps of an experimental study aimed at diagnosing the initial level of digital literacy of teachers specialised in life and human sciences.The framework of the research involved four steps.Step one was to analyse the results of the scientific and methodological search for the components of the competence.Step two was to list the indicators to diagnose the relevant competencies.Step three was to process the data received from respondents, to visualise and to define the digital skills level.As the final step, the main conclusions were made based on the results of the study, and the ways to improve the efficiency of the teachers' digital competence were suggested.The main conclusions include: 1) the following digital skills of digital competence were defined: reproductive, active and interactive; 2) information and communication technologies are the basis for the digital competence formation, but these concepts are not identical; 3) the level of digital skills mastery does not depend on the subject taught; 4) the methodology for achieving the subject learning outcomes requires the development of key principles of digital didactic tools mastery.
The Analysis of Chemical Waste Management System in Integrated Waste Management Site of Lampung University

The waste management system of the Integrated Waste Management Site of the Lampung University is considered quite effective in handling the university organic waste, besides that the university also gets commercial benefits. This study analyzes the chemical waste management system at the Integrated Waste Management Site of the Lampung University and its potential in reducing university chemical waste independently. The type of research carried out was using descriptive research and use a qualitative approach by conducting observational studies and in-depth interviews. Waste management activities at the Integrated Waste Management Site of the Lampung University include waste collection, sorting and waste processing activities. One of the programs in the waste management process at the Integrated Waste Management Site of the Lampung University is known as the Unila Waste Bank.
ANALISIS KINERJA GABUNGAN PERKUMPULAN PETANI PEMAKAI AIR (GP3A) ARUNG RADEN DALAM PENINGKATAN PERTANIAN DI DAERAH IRIGASI PENGADANGAN KECAMATAN PRINGGASELA KABUPATEN LOMBOK TIMUR

The purpose of this study was to determine the level of conformity of the performance of the Arung Raden Water-Using Farmers Association (GP3A) in the Pengadangan Irrigation Area, Pringgasela District and to determine the performance improvement strategy of the Arung Raden GP3A in the Pengadangan Irrigation Area, Pringgasela District in managing irrigation networks. Based on the results of the calculation of the level of conformity, it can be concluded that, in the organizational aspect, the indicator that has the highest level of conformity with a3 of 98.72% is an indicator that becomes the main priority and improves the performance of gp3a. Then on the irrigation aspect b1 of 98.63%, and the farming aspect there are 2 indicators that have the same suitability value and the highest is c1 of 89.61%, c2 of 89.61%. In the financial aspect, d2 is 97.33%, and the last is the role of the government e1 is 98.68%. The indicator that has the highest conformity value becomes the main priority. In the IPA Analysis (Performance Analysis Index), quadrant A is a quadrant that is a top priority that is very influential in the level of gp3a performance. To improve the performance of GP3A, the increase in rice production should not exceed 6 tons/ha.
Polymovment technical devices – basis of the problem teaching of physics

In the article actual methodical direction – use of problem training in a course of physics is considered. If now this direction is guided by movement "from a problem to knowledge", the author offers as an educational technique to take movement "from representation about a principle of action of the technical device" to "comprehension in him of functions of physical processes" and to "mastering of knowledge about physical processes ". Concerning technical devices the new concept "polymovment" is entered. It occurs from "poly" – much, and "movement" – to move and means such samples of engineering or technology, in which some subsystems using the simultaneously different forms of movement work.&#x0D; The separate illustrations of the physical phenomena in the plan of studing are poorly effective, as have single character and are connected to isolated examples. By more effective from the point of view the mastering of knowledge, is illumination of the interconnected phenomena, which display a principle of action polymovment of the technical device. Use of the offered approach puts forward on the foreground of training an especially practical problem – understanding of principles of action of concrete samples of engineering and the ability of the schoolboys them is qualified to interpret in language of a physical science.
Establishment of interdisciplinary connections between mathematical disciplines in the context of high-quality professional training of a future cybersecurity specialist

The problems of qualitative training of a specialist in the specialty 125 "Cybersecurity" are considered in the work. The importance of the aspect of mathematical training is emphasized. Factors that ensure proper professional training of students and the formation of their defined MES integrated competence. The international experience of training cybersecurity specialists is reviewed. It is noted that in most US universities, the course of discrete mathematics, the course of algorithms and their mathematical implementation at the bachelor's level is a mandatory part of obtaining a degree in computer science.
A Fast and Effective Image Denoising Algorithm

Abstract Classic denoising algorithms have always suffered from the disadvantage of being slow, even for the famous BM3D.This paper presents a fastst and effective image denoising algorithm, which is based on the aggregation. It is a relatively faster method that first applies other known denoising algorithms (such as DCT for Discrete Cosine Transform, Wavelet Transform, Wiener Filter Denoising, etc.), selects different chunking specifications and different parameters to obtain several different denoised images, and then aggregate them to obtain the final denoised image.However, not arbitrarily generated noise reduction image aggregation can get good results, only the right combination can get good denoising results.One of the suitable combinations is proposed in the paper guided by the above ideaExperiments show that the algorithm has good noise reduction performance, and the algorithm has the fastest running time among all classical algorithms, and the running time is only equivalent to less than one-tenth of other algorithms.
An Open-Source Simulation Platform for Benchmarking Geo-Distributed Data Center Schedulers

Abstract To help meet the ever increasing demand for cloud computing services and resources world-wide, while providing resilience and adequate resource utilization, cloud service providers have opted to distribute their data centers around the world. This trend has been motivating research from the data center management research and practitioner community on new job schedulers that take into account data center geographical distribution. However, testing and benchmarking new schedulers for geo-distributed data centers is complicated by the lack of a common, easily extensible experimental platform. To fill this gap, we propose GDSim, an open-source, extensible job scheduling simulation environment for geo-distributed data centers that aims at facilitating the benchmarking of existing and new geo-distributed schedulers by subjecting them to a variety of data center features and conditions We use our geo-distributed job scheduler simulation platform to reproduce experiments and results for recently proposed geo\hyp{}distributed job schedulers, as well as testing those schedulers under new conditions which can reveal trends that have not been previously uncovered.
Effectiveness of Problem-Based Learning Application with Video Assistance on Improving Medical Record Understanding

The study's purpose was to determine whether there was an increase in understanding of medical records that were not taught and taught using the video-assisted Problem Based Learning model. This research is experimental in the form of a Quasi Experiment with a control group. Still, it cannot fully function to control external variables that affect the implementation of the experiment. The research design used was a "Nonequivalent (Pretest-Posttest) Control Group Design." The research population was all nursing students from STIKES Bhakti Husada Bengkulu. The research sample is class IA as the control class and class IB as the experimental class. Data collection was carried out using medical record comprehension tests in the form of pretest and post-test, observation, and documentation. Data analysis showed that students' understanding of medical records in the experimental class using the Problem Based Learning learning model as a learning model was in the high category, with a percentage of 81.05%, while the control class using conventional learning models was in the medium category, with a rate of 69.30%. Secondly, from the results of the analysis of hypothesis testing using the t-test, the value of sig = 0.01 is obtained. Thus there is an increase in the understanding of medical records of students taught through the Video-assisted Problem Based Learning model.
Implementation of Multi-literacy Education Based on Cultural Literacy with the TANDUR Strategy in Community Learning Center (CLC)

The need for a grand design of education in the implementation of literacy education so that it can provide an output in the form of a society that is literate and able to solve problems in their lives as expected by the law. No. 20 of 2003 article 3 which states that national education functions to develop abilities and shape national character and civilization so that they are able to actively participate in advancing the world community. So, to be able to make it happen, the TANDUR strategy is a strategy solution for implementing literacy education. Development The implementation of multi-literacy education at PKBM is carried out using the RnD method and the application of quasi-experiments to test the developed model. The results obtained in this study are that the TANDUR strategy applied in implementing multi-literacy at PKBM has a positive effect, both on tutors, the learning process, and the learning community. So it is hoped that with the TANDUR strategy it can be implemented and socialized to education units that will organize multi-literacy education.
A Performance Comparative on Most Popular Internet Web Browsers

Our reliance on the internet increases daily as it depends on the number of services implemented on the internet. With the growth of internet usage dramatically increasing, more users feel the need to explore and utilize it to the fullest. The only way the typical user would be able to access the WWW by using a web browser; hence, the creation of numerous web browsers in the past decade. However, websites are significantly slowed down and websites frequently take a few seconds to fully load.. This is worrisome because slow performance can cause users to leave a loading page, lower search engine rankings, and other negative effects. The purpose of this paper is to compare and evaluate the performance of five commonly used browsers, which are Google Chrome, Mozilla Firefox, Microsoft Edge, Opera, and Brave. The comparison will include CPU, RAM, and GPU usage using Speedometer and MotionMark benchmark tools, which come with the high-performing browsers. The results of this study reveal that Chrome utilizes more CPU and Memory but economically utilizes GPU power. In contrast, Microsoft Edge utilizes CPU and RAM memory economically but uses the GPU more freely.