Reviewerly/exHarmony huggingface dataset:
CULTURAL AND EDUCATIONAL ACTIVITY OF M. O. KORF IN THE LIGHT OF DEVELOPMENT OF MONITORING OF QUALITY OF EDUCATION

The aim of the research is to discover the pedagogical and cultural ideas of baron М. О. Korf and their impact on the modern monitoring of quality of education. The pedagogical ideas of baron М. О. Korf refering to the problem of monitoring of quality of education are exposed in the article. In fact he was the first person in Ukraine and Russia who started verification of knowledge of peasants and students. The research methodology is based on the principles of historicism, system-formation, scientific character, verification, the author’s objectivity, moderated narrative constructivism, and the use of general scientific (analysis, synthesis, generalization) and specially pedagogical (empiric, historical comparative) methods. The scientific novelty of the article consists in the fact that for the first time in history of pedagogics it was found out on the basis of works of Mykola Korf and publications of researchers of his inheritance that a teacher tested the knowledge of peasants and students of elementary school and then made a report. A question for conversation was divided into two categories: those which analytically name an object and offer child to define the sign and the ones that enumerate signs synthetically, not naming an object, and offer to thinking of child to recreate an object according to its signs. Nowadays there is the idea that the founder of the world monitoring of quality of education is the American association of Progressive Education Association in the of United States. However, we prove that Mykola Korf measured the quality of knowledge of students, conducted monitoring of quality of knowledge, considerably before associations. Conclusions the results of research allow to assert that the pedagogical ideas of baron M. O. Korf can be considered as basic developments of modern theory and practices of monitoring of quality of education because he organized the research before American association of Progressive Education Association in the of United States. Key words: monitoring, knowledge, methodology, conversation, pedagogical ideas.
PERPUSTAKAAN KOTA PONTIANAK

Reported by the Ministry of Education and Culture in 2019 regarding the literacy culture of each region, West Kalimantan is listed as the third lowest province in literacy culture or reading interest, the Pontianak City Government has provided places for the public to develop reading interest in the Pontianak City Library, however The Pontianak City Library as the parent of literacy media in Pontianak City has problems in terms of architecture such as inaccurate spatial programs, inadequate spatial size, and the formation of a library that is less representative. Several steps are used in the new library design starting from ideas, data, analysis, synthesis of the initial design to design development, the focus of library design is on programming a space where one of the commercial rooms and a separate room, also in library collections requires special treatment so that processing The collection provides space in the manager building by bridges between buildings for manager access. The new library design approach is adapted to current times by utilizing the latest technology related to libraries such as automatic lending and book creation tools, the library formation is also designed more iconically, on the main building facade of the library which adapts from the tanjak formation and applies secondary skin formations in the form of motifs, gill patterns typical of Pontianak City.
Deep Learning Suggestions for Analyzing Student Activity Data

In this study, eight data are collected data. Eight data were obtained through surveys and interviews, and some data were analyzed after being obtained through smart wearable devices. Traditional learning model amount are effectively learned through algorithms with the help of various sensors and Artificial Intelligent. Therefore, this study suggests learning activities based on the deep-learning instruction model as a method for teaching to improve data analytic thinking ability. Models analyze learning activity data design a model of the data through the observation of a given data.
A Study on the Effect of DropConnect to Control Overfitting in Designing Neural Networks

The neural network is an approach of machine learning by training the connected nodes of a model to predict the results of specific problems. The prediction model is trained by using previously collected training data. In training neural network models, overfitting problems can occur from the excessively dependent training of data and the structural problems of the models. In this paper, we analyze the effect of DropConnect for controlling overfitting in neural networks. It is analyzed according to the DropConnect rates and the number of nodes in designing neural networks. The analysis results of this study help to understand the effect of DropConnect in neural networks. To design an effective neural network model, the DropConnect can be applied with appropriate parameters from the understanding of the effect of the DropConnect in neural network models.
Development Of Vocational Teacher's Scientific Potential With Reference To Foreign Experience

The article provides the analysis of statistical data on the system of vocational education and training in the Russian Federation, which has laid the foundation for the collective portraits of the vocational teacher and apprentice master elaborately assembled by the authors. Another valuable outcome of the analysis was the opportunity to detect one of grave problems of the VET system - high unemployment rate among the graduates - and its cause. In order to find an effective solution the authors have turned to the modern VET research done by acclaimed international organisations as well as the experience of the countries that either demonstrate the renowned high level of education - Finland, South Korea, France and Germany or can be compared with Russia in terms of size, administrative structure, economy type or GDP per capita: Argentina, China, and Turkey. The juxtapositional analysis of the VET systems has allowed identifying the omni-characteristics of VET. Relying on the analyses, the authors suggest multivector solution that is tightly linked to continuing professional development and the growth of vocational personnel’s scientific potential. The solution has a methodical regard to modern global tendencies in VET that demand the preparedness to perform in a constantly changing environment and face new challenges for the vocational teacher and trainer.
Increased Knowledge of Pringwulung Youth Group, Sleman, on the Use of Solar Energy to Support Energy Security

The youth group RT10/ RW40 Pringwulung, Condong Catur, Depok, Sleman Yogyakarta Special Region is located east of SMKN 2 Depok, Sleman. This youth group formed a semi-autonomous activity centre under the youth organization which aims to provide knowledge to children in RT 10 about natural science. To implement the objectives, the workshop collaborated with several partners as resource persons for the activity. Some of the partners included lecturers and student associations around the location. The educational background of the youth groups varies from high school to tertiary education. The Adisutjipto College of Technology through its lecturers attempted to increase the knowledge of youth group members through a community-service partnership program on alternative energy, especially solar energy which has the potential to support energy security. It is hoped that through this activity the youth groups would be able to increase their knowledge. This community-service activity used the presentation method and to check the knowledge of youth group members, tests or questions and answers were provided with both at the beginning of the activity and the end of the activity. In addition, a small group discussion (SGD) was also conducted so that the participants could discuss the presentation material and improve the understanding of the material. In this community service activity, there was an increase in participants' knowledge, and indicators of improvement were shown from the results of the small group discussion, pre-test, and post-test sessions. The average percentage of increase of their knowledge from the pre-test and posttest results was 36%.
Braille to Text Translation for Bengali Language: A Geometric Approach

Braille is the only system to visually impaired people for reading and writing. However, general people cannot read Braille. So, teachers and relatives find it hard to assist them with learning. Almost every major language has software solutions for this translation purpose. However, in Bengali there is an absence of this useful tool. Here, we propose Braille to Text Translator, which takes image of these tactile alphabets, and translates them to plain text. Image deterioration, scan-time page rotation, and braille dot deformation are the principal issues in this scheme. All of these challenges are directly checked using special image processing and geometric structure analysis. The technique yields 97.25% accuracy in recognizing Braille characters.
Performance comparison between NewSQL and SQL : Sharded TiDB vs MariaDB

Databases are used extensively for websites and a large amount of websites are built upon Wordpress. Wordpress uses MySQL compatible databases and for many larger websites itcan be imperative to ha ...
<i>Library Futures: Blockchain</i>

While it may be mostly driven by Bitcoin, the topic of blockchain has quickly evolved from being trendy to ubiquitous. And although most associate this topic with cryptocurrencies, there are variou...
Interactive educational systems in the context of e-learning and blended learning

The article considers and analyzes issues related to the problems of organizing e-learning, the use of distance learning technologies in organizing the educational process in the extreme conditions of the period of self-isolation in 2020. On the basis of the sociological survey of pupils and teachers the article defines the readiness of the educational organizations, teachers trained to use information technologies in the course of remote/e-Learning in the event of unforeseen force majeure and insuperable circumstances.
Pengembangan Model Rapid Application Development (RAD) dalam Aplikasi E-Voting Pemilihan Bakal Calon Rektor saat Masa Pandemi Covid 19

The Catholic University of Santo Thomas conducts the election of the Chancellor by all lecturers and educational staff as well as the Higher Education Senate, by deliberation and voting to elect candidates for the chancellor (lecturers who have met certain qualifications). The implementation system for selecting Candidate Chancellors from its establishment until the 2016-2020 period is still using a manual / conventional system where this system is impossible to implement because the Covid-19 Pandemic period has not ended. Enforcement of Large-Scale Social Restrictions, a regulation issued by the Ministry of Health in the figures for the Acceleration of Handling of COVID-19 recorded in the Minister of Health Regulation No.9 of 2020 restricts the movement of humans to carry out their daily tasks. Rapid Application Development (RAD) as an alternative to the System Development Life Cycle is often used to overcome delays that occur when using conventional methods and is used to build applications to solve these problems. The test results illustrate that there are 115 people (50%) from a total of 230 lecturers and staff of Unika Santo Thomas who are interested / participating in testing the application. On the day of the election, the prospective chancellor indicated that the total number of voters was 230 people, with details of participating as many as 166 people (72.17%) and not exercising their voting rights as many as 64 people (27.83%). This shows an improvement compared to the time of testing.
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief

To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed. This paper further proposes FCM-RDpA, which improves MBGD-RDA by replacing the grid partition approach in rule initialization by fuzzy c-means clustering, and AdaBound by Powerball AdaBelief, which integrates recently proposed Powerball gradient and AdaBelief to further expedite and stabilize parameter optimization. Extensive experiments on 22 regression datasets with various sizes and dimensionalities validated the superiority of FCM-RDpA over MBGD-RDA, especially when the feature dimensionality is higher. We also propose an additional approach, FCM-RDpAx, that further improves FCM-RDpA by using augmented features in both the antecedents and consequents of the rules.
The Recapitulate Analysis of Image Mining Techniques Applications and Challenges Associated

In today’s world, multimedia plays a very vital role. The mining of images is strategically the most complicated yet interesting field for the researchers. Multimedia mining and knowledge discovery deal with non-structured information. Texts are embedded in real-world objects or scenes; examples are street image and its name, car license number, and the number/name on the back of a soccer player. The problems of accurately detecting and extracting the graph image recognition need to be addressed. Since image mining is more or less an extension of data mining, all the concepts of data mining work well with image mining as well. Image mining works with hidden knowledge extraction, image data association, and additional patterns that are dispersed locally in the images. This paper presents a survey of various image mining techniques and challenges related to them. Web image mining facilitates using a complementary textual resource available in the image.
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Generation of stroke-based non-photorealistic imagery, is an important problem in the computer vision community. As an endeavor in this direction, substantial recent research efforts have been focused on teaching machines "how to paint", in a manner similar to a human painter. However, the applicability of previous methods has been limited to datasets with little variation in position, scale and saliency of the foreground object. As a consequence, we find that these methods struggle to cover the granularity and diversity possessed by real world images. To this end, we propose a Semantic Guidance pipeline with 1) a bi-level painting procedure for learning the distinction between foreground and background brush strokes at training time. 2) We also introduce invariance to the position and scale of the foreground object through a neural alignment model, which combines object localization and spatial transformer networks in an end to end manner, to zoom into a particular semantic instance. 3) The distinguishing features of the in-focus object are then amplified by maximizing a novel guided backpropagation based focus reward. The proposed agent does not require any supervision on human stroke-data and successfully handles variations in foreground object attributes, thus, producing much higher quality canvases for the CUB-200 Birds and Stanford Cars-196 datasets. Finally, we demonstrate the further efficacy of our method on complex datasets with multiple foreground object instances by evaluating an extension of our method on the challenging Virtual-KITTI dataset. Source code and models are available at https://github.com/1jsingh/semantic-guidance.
Privacy-Preserving Algorithms: the Gain and the Loss

The rapid development of Big Data technology has put privacy issues into focus. Data-driven technologies help people make appropriate inferences and decisions, but the large amount of data collecte...
IMPLEMENTASI MEDIA BERBASIS AUDIO VISUAL DALAM PEMBELAJARAN MATERI GERAKAN SHOLAT FIQIH (STUDI KASUS DIKELAS V MIN 1 BANYUMAS)

Abstract&#x0D; In effective learning in a classroom, it requires a variety of media that makes it easier for students to absorb the learning conveyed by the teacher. Therefore, the teacher is required to be able to convey the material correctly and correctly. From there the researchers wanted to conduct a research with the formulation of the problem of how the use of audio visual media in the ability to practice reading and prayer movements in the study of jurisprudence. The subjects in this study were grade V students with 30 students consisting of 18 women and 12 men. The method in this study used a descriptive (qualitative) method. Data collection used is observation, interview and documentation, which are then analyzed using the data reduction techniques described. In accordance with the results of the analysis conducted by researchers, students who scored above the Minimum Mastery Criteria (KKM) were 18 students, with a percentage of 65%, while students who received scores below as many as 12 students with a percentage of 35%. If you look at the data for each aspect, it can be concluded that there are still many students who only have enough mastery in terms of dhikr and pray after prayer. While those who reach the level of mastering well are the aspects of reading the Surah Al-Fatihah. The conclusion is that the Ability, Practicing of Reading and Movement of Prayer is interesting and enthusiastic so that through audio-visual media can be improved by audio-visual media.
Web Design Consulting for Bearcat Promise Career Studio

By Caroline Edens, Communication; Azuree Carrington, Communication; Shuhao Yang, Communication Advisor: Michael Sharp Abstract: The Bearcat Promise Career Studio is a brand new resource offered by UC as of Spring 2020. Knowing that students primarily research and find access to campus resources through websites, we have been working with our client to ensure that their website meets required standards. This includes a user friendly interface design and the presence of/ ability to access relevant information. By pushing out a survey directly to UC students, we will gain firsthand insight into how effective users find the website to be. We will use this information to then make suggestions to the Bearcat Promise Career Studio as to how they can make such a valuable campus resource more accessible to students through proper web design.
Design and Implementation of Web English Teaching Information Retrieval Platform Based on Page Link Mining

How to effectively use the huge information base of web for English teaching information retrieval plays an important role in English teaching reform. The traditional keyword based search engine has made some achievements, but there is a problem of low precision. In fact, the link structure between web pages implicitly expresses authoritative information, which has been used by many researchers to improve the performance of Web Information Retrieval (including search engines). This method has achieved good results, but there is still a lot of room for improvement. Therefore, this paper proposes a Web graph authority resource mining algorithm based on frequency. This method interprets the new definition of authority page, and proposes the concepts of frequent subgraph with order and authoritative community. Experimental results show that the algorithm improves the effectiveness of information retrieval.
MATHEMATICAL SOLUTION FOR ANALYSING OF ORDINARY DIFFERENTIAL EQUATIONS USING DATA ASSIMILATION APPROACH

Recent development in machine learning has told the best way to conjecture and, somewhat,become familiar with the dynamics of a model from its yield, turning specifically to neural networks and deeplearning techniques. The dynamics of a model are found out from its perception and an ordinary differentialequation (ODE) portrayal of this model is gathered utilizing a recursive nonlinear regression. Since thetechnique is inserted in a Bayesian data assimilation framework, it can gain from fractional and uproariousperceptions of a state direction of the physical model. In addition, a space-wise nearby portrayal of the ODEframework is acquainted and is key with adapting to high-dimensional models.
Close Latency--Security Trade-off for the Nakamoto Consensus

Bitcoin is a peer-to-peer electronic cash system invented by Nakamoto in 2008. While it has attracted much research interest, its exact latency and security properties remain open. Existing analyses provide security and latency (or confirmation time) guarantees that are too loose for practical use. In fact the best known upper bounds are several orders of magnitude larger than a lower bound due to a well-known private-mining attack. This paper describes a continuous-time model for blockchains and develops a rigorous analysis that yields close upper and lower bounds for the latency--security trade-off. For example, when the adversary controls 10\% of the total mining power and the block propagation delays are within 10 seconds, a Bitcoin block is secured with less than $10^{-3}$ error probability if it is confirmed after four hours, or with less than $10^{-9}$ error probability if confirmed after ten hours. These confirmation times are about two hours away from their corresponding lower bounds. To establish such close bounds, the blockchain security question is reduced to a race between the Poisson adversarial mining process and a renewal process formed by a certain species of honest blocks. The moment generation functions of relevant renewal times are derived in closed form. The general formulas from the analysis are then applied to study the latency--security trade-off of several well-known proof-of-work longest-chain cryptocurrencies. Guidance is also provided on how to set parameters for different purposes.
Blockchain - An Advance Security System

Blockchain may be a decentralized technology.Blockchain has slowly become one among the foremost frequently discussed methods for securing data storage and transfer through decentralized, trust less, peer-to-peer systems.This timely systematic review also sheds light on future directions of research, education and practices within the blockchain and cyber security space, like security of blockchain in IoT, security of blockchain for AI data, and sidechain security.We also review the safety enhancement solutions for blockchain, which might be utilized within the event of varied blockchain systems, and suggest some future directions to stir research efforts into this area.Blockchain has attracted tremendous attention because of its immutable nature and thus the associated security and privacy benefits.BC has the potential to beat security and privacy challenges of the web of Things.