Reviewerly/exHarmony huggingface dataset:
Freedom to choose the theme of the project as the basis of the cognitive activity of future designers

A lot has already been written on the problem of the development of students’ creative activity, the experience is described in a number of publications by domestic and foreign authors. All of them recognize that being active is the core of the professional training of any specialist. Design today as a field of activity is in great demand, which significantly increases the requirements for graduates. Employers point out that some of them do not show the necessary responsibility in the design process. There are many reasons for this, but the most often cited are insufficient interest in the outside world, low activity, lack of initiative. Unfortunately, it should be noted that the cognitive activity of students in design engineering has been little studied, and the teaching methodology often has to be borrowed from related disciplines. Finding ways to maintain creativity in design is highly relevant. To study the influence of the freedom of choice of the design topic on cognitive activity, experimental work was carried out with bachelor students, future designers. The experiment proceeded in three stages, each of which had its own tasks and results. The results of the experimental work showed that freedom in choosing a topic is an important factor in teaching methods and has a positive effect on the preservation of students' cognitive activity in educational design and further professional activity.
Group Perceptual Quality Optimization for Multi-Channel Image Encoding Systems Based on Adaptive Hyper Networks

Images and short videos that produced by social networks surge in recent years. Image/Video encoders, such as JPEG and H.264, are indispensably involved to reduce the transmitting bandwidth. However, based on our observation, the encoding parameters and their candidates are often preset to fixed values (or fixed candidate values) in real-world scenarios, which might not be the optimal bandwidth allocation strategy. Considering that, we propose an efficient group quality optimization (GQO) framework for multi-channel image/video encoding systems in which the encoding parameters are configured in a perceptual-quality-driven manner. The GQO framework employs adaptive hyper network to predict the relationships between encoding parameters, transmitting resources, and perceptual qualities, i.e., just taking the pristine image as input, the adaptive hyper network could accurately yield a global overview of perceptual quality and transmitting resource varied along encoding parameters. A step-by-step optimization procedure is then employed to search the optimal encoding parameter for each channel so that overall perceptual quality could be maximized under limited transmitting resource. Experimental results demonstrate the proposed GQO framework could achieve higher perceptual quality whilst maintain the same bandwidth compared to traditional allocation strategies where encoding parameters are preset.
Exploration of Data Mining Algorithm of Online Learning Behavior Log based on Cloud Computing

In this research, the learning patterns and behavioural data of learners' online learning in a cloud computing environment are analysed, and the learners' learning progress, learning rules, and lea...
Offline Handwriting Recognition to Determine the Handwriting Accents – A Pilot Study

Handwriting is a neuro-muscular phenomenon, which is influenced by gender, age, ethnicity, handedness, the system of handwriting learned, subject matter (content), writing protocol (written from memory, dictated, or copied out), writing instrument (pen and paper), changes in the handwriting of an individual over time, etc. In other words, one can say that handwriting is an acquired skill, which is greatly influenced by the ethnicity and the system of handwriting learned. Handwriting relates the cognitive aspects of the brain with the muscular movements. Thus, it becomes likely that a certain degree of commonness exists in the handwriting features of the people of the same population group.” Few researches had been conducted in this aspect to identify the ethnic origin of author via some distinctive characteristics of their handwriting, which reflects their ethnic origin. Out of these works, a couple of studies took quantitative approach to statistically examine the observed handwriting characteristics. The predictions of this work will help the forensic fraternity in identifying the authors of anonymous writings. Also, the work will help the anthropological researchers in identifying the ethnic origin of writer based on their ethno-linguistic handwriting features. We approach this problem using multilingual writers who can also write in English. We have focused our work in distinguishing two very distinctive ethno-linguistic groups Telugu and Hindi writers, to double check the results obtained. The further comparison of findings is done with the findings of the data obtained from control population. Each set of group contains 50 samples.
Prediction of Cervical Cancer

Cancer is a disease that develops when normal cells are converted into tumour cells. Cancer can affect any part of the body. Causing cancer sometimes could be a loss of life. The most common type of cancer seen in women is cervical cancer. Many various methods are existing for the control and prevention of cervical cancer such as Cytology, Schiller, Hinselmann and Biopsy. In this paper we are using Machine Learning approach, the system aims to predict whether the patient has cancerous cells based on the data collected from various hospitals. This paper uses Artificial Neural Network and Random Forest Classifier. The existence of cervical cancer is predicted, which helps the patient to diagnose the disease at the early stage. This paper also compares the accuracies of the performance analysis of the classification algorithms.
LibGuides: Library automation machine @ VinUni Library: Self-Service Scanner

You can use the self - check machine on either the 1st floor or the 2nd floor to borrow or return print books. The 24/7 book return machine at the library main entrance is just for checking in books only.
Penggunaan periang gadis untuk mengurangi gangguan diPT PLN (Persero) UP3 Depok

In the electric power system to channel power from power plants to consumers, a network of transmission and distribution lines is needed. One of the distribution channel power is the 20 KV Medium Voltage Air Line. The main problem to carry out the function of the distribution network is to overcome the various disturbances in the distribution network, given the most disruption in the electric power system contained in the distribution network. The term reliability in the distribution network describes the safety of distribution, avoidance of disturbances that cause the distribution network outages, especially in the 20 kv medium voltage network, especially in animals, kites and trees. So that the distribution network does not experience interference or equipment damage, network maintenance and installation of periang gadis equipment are installed on the transformer bushing and arrester to reduce network disruption.At thesubstation that has been carried out jolly girl installation namely on the APsubstation, and SMY substation. After installing the girl's jolly, the tension value measured meets the jolly girl's specifications. To reduce interference, maintenance of substations is carried out to prevent interference.
IMPROVING MANDARIN LEARNING FOR DUNGAN BY AUTOMATIC SPEECH RECOGNITION AND MACHINE TRANSLATION

Motivation:As China's "one belt, one road" economy develops, more and more Donggan people want to learn Chinese to understand and integrate into China. Mandarin learning education has developed rapidly in recent years under the promotion of Donggan students learning in China. At present, Donggan students learn grammar, vocabulary, and other knowledge of Mandarin from teachers in the classroom with a traditional way. However, traditional learning methods need bilingual teachers who understand both Chinese and Donggan. Teachers who teach Chinese for Donggan in China are mainly Chinese, and few teachers understand Donggan Language, which brings difficulties to Donggan students' Chinese teaching. Therefore, using artificial intelligence technology to develop a technology that can help teachers translate Donggan into Chinese can help teachers teach Donggan students Mandarin.Method:This paper uses automatic speech recognition and machine translation technology to solve the lack of bilingual teachers when Donggan students learn Putonghua. First, we use end-to-end speech recognition technology to train the speech recognition acoustic model of Donggan Language. Secondly, we use the transformer method to train a machine translation model from Donggan to Chinese. Finally, we use the acoustic model of speech recognition to recognize Donggan speech as Donggan text and use the machine translation model to translate Donggan text into Chinese text.Result:We construct a Donggan Language Corpus, including Donggan text and its corresponding Donggan phonetics. Among them, there are 4616 sentences in Donggan text, including initials, finals, and tones. Five native speakers of the Donggan Language recorded 4616 Donggan Phonetics (923 sentences per person for 6 hours). The experimental results show that this method's word error rate is 27.9% in Donggan speech recognition. Compared with the traditional hidden Markov model (HMM) and deep neural network (DNN), the word error rate is reduced by 3.24%. We conducted experiments on 20 Donggan students in Putonghua learning scene. Students of Donggan nationality can convert Donggan pronunciation into corresponding Chinese text through the method in this paper. Conclusion:This paper puts forward a method to convert Donggan speech into Chinese text used for Donggan students' Mandarin learning. The results show that this method can effectively improve the Donggan students' Mandarin learning level and promote the better development of Donggan Putonghua learning.
Mosaic plots for displaying and exploring categorical data

PM&RVolume 13, Issue 5 p. 531-534 Statistically Speaking Mosaic plots for displaying and exploring categorical data Regina L. Nuzzo PhD, Corresponding Author regina@amstat.org Science, Technology, Accessibility, Mathematics & Public Health, Gallaudet University, Washington, DC, USA Correspondence Regina L. Nuzzo, Science, Technology, Accessibility, Mathematics & Public Health, Gallaudet University, 800 Florida Ave. NE, Washington, DC 20002, USA. Email: regina@amstat.orgSearch for more papers by this author Regina L. Nuzzo PhD, Corresponding Author regina@amstat.org Science, Technology, Accessibility, Mathematics & Public Health, Gallaudet University, Washington, DC, USA Correspondence Regina L. Nuzzo, Science, Technology, Accessibility, Mathematics & Public Health, Gallaudet University, 800 Florida Ave. NE, Washington, DC 20002, USA. Email: regina@amstat.orgSearch for more papers by this author First published: 21 March 2021 https://doi.org/10.1002/pmrj.12593 Disclosure: None. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Volume13, Issue5May 2021Pages 531-534 RelatedInformation
Creating Superposition: The Beam Splitter

Abstract Now that we have explored qubits and the phenomenon of superposition, we can ask the question: how do we know that superposition actually happens? is the evidence that shows that a quantum particle really does exist in two different locations at this same time while in a quantum superposition? The nature of science means that experiments are constantly updating previous results, so are there other interpretations of the experimental results that can explain the data without the need for superposition? In this chapter we’ll explore the experimental evidence interpretations other than quantum superposition. Further, while a flipping coin is a simple model of a qubit, it is not very useful for building a quantum computer because it does not exhibit all of the properties of a true quantum superposition. For example, we cannot manipulate the superposition amplitudes. In this chapter, we will study some real physical examples of quantum particles in a superposition containing two states. These examples include a photon in a beam splitter and the Mach–Zehnder interferometer.
On the Tail Risk of Cyberattacks in the Bitcoin Market

In the era of digitalization, cryptocurrencies have become an alternative asset for both retail and institutional investors. While the new emerging digital ecosystem based on blockchain technology has been praised for offering plenty of advantages such as decentralization, discretion or increased efficiency in terms of faster settlements among others, investors need to be aware of new types of risks such as hacking incidents. In the 2011-2018 period, about 1.7 million unit of Bitcoin have been stolen corresponding to losses accumulating more than $655 million highlighting the societal impact of this criminal activity. The novel aspect of our study is that it employs a recently proposed approach related to Extreme-Value-Theory to compute the quantity of the risk of cyberattacks. Our results show that employing naïve statistics in risk management dramatically underestimates this risk. We argue that our findings have important implications for policy makers as they call for an urgent need for cryptocurrency market regulations from governments and regulatory agencies to protect investors.
Comparative Study of Cryptographic Algorithms

This paper presents a comparative study of two cryptosystems, Data Encryption Standard (DES) and the Rivest-Shamir-Adleman (RSA) schemes. DES is a symmetric (or private) key cipher. This means that the same key is used for encryption and decryption. RSA, on the other hand, is an asymmetric (or public) key cipher, meaning that two keys are used, one for encryption and the other for decryption. The objective of this paper is to implement these two schemes in software. The program is written in the Java™ language. It generates a key from a passphrase given by the user, encrypts and decrypts a message using the same key, for the case of DES. In RSA, decryption is done by computing the decryption key from the encryption key. Finally, the program returns the time taken to encrypt and decrypt a message.
FACTORS OF GLOBAL DIGITAL TRANSFORMATION OF EDUCATION: INFLUENCE ON VALUE ORIENTATIONS FORMATION AMONG YOUNG PEOPLE

The COVID-19 pandemic has significantly accelerated global digitalization of education in many countries. This is a necessary and preventive measure in education system of many countries. An approval of distance learning as the main form of knowledge and experience transfer during the COVID-19 pandemic motivated to refer to the subject of global digitalization of education factors research and their impact on value orientations formation among young people. We realize that it will be analysis data from the first results obtained. The purpose is to identify factors of global digitalization of education and to analyze their influence on value orientations transformation among young people from the point of process approach and digital educational environment analysis.Research methodology and methods. The research based on methodology of the process approach and distance learning analysis as an educational process in the digital educational environment. Method of comparative analysis of major factors of traditional and distance learning allowed to identify main factors of global digitalization of education. Method of pedagogical analysis of theoretical sources and pedagogical practices in Russia and abroad allowed to reveal negative and positive aspects of these factors effect on value orientations formation among young people. An axiological approach was applied in present research which allowed us to distinguish transformation of young people value orientations when learning in digital educational environment and using distance learning only. Results: main factors of global digitalization of education are highlighted such as provision distance learning on digital media; a new virtual pedagogical practice without traditional emotional contact between educational process subjects; a new form of socialization of the individual in the digital educational environment; new design-thinking. Positive factors: enhanced network opportunities; virtual employment; open digital education platforms, academic and social freedom of the higher school student. Negative factors of global digitalization of education are mainly caused by the emotional and cognitive spheres of a person. These factors include: reduced communication experience and risk of speech degradation; loss of students' basic cognitive competencies and reduced emotional stability; sedentary lifestyle of students and educators which opens the way to new forms of didactogeny. Transformation of value orientations among young people, according to our observation during the COVID-19 pandemic and the complete transition to distance learning, affected terminal and instrumental values, mainly such as development and creativity, diligence and self-control.
Maneuver-Based Cross-Validation Approach for Angle-of-Attack Estimation

The estimation of the Angle of Attack (AOA) and Angle of Sideslip (AOS) is crucial for flight monitoring and control.However, a gap has been identified on the data selection technique for the class of estimators based on data-driven methods, such as the synthetic sensor based on Neural Network (NN).This paper proposes a Cross Validation (CV) technique applied on a manoeuver-based partitioning method to provide evidence that a given selection of data can lead to better estimation performance, with the final aim of providing a list of manoeuvers suitable for the training phase of the estimator.Results are shown using simulated data related to the CleanSky 2 project MIDAS.
Report on ESSIR 2019

This paper reports on the 12th edition of the European Summer School in Information Retrieval (ESSIR 2019), held in Milan, Italy, from 15 to 19 July 2019.
Sentiment Analysis Using Supervised Machine Learning

This paper acquaints a methodology with assumption investigation which utilizes different content standardization methods in Natural Language Processing (NLP) for converting a text into vector and briefly explains the the importance of standardization methods and how they are used in python with the help of its Natural Language Toolkit (NLTK) library. Finally this paper analyzes different algorithms in Supervised Machine Learning with comparison of two Machine Learning models, i.e., Logistic Regression and Naive Bayes for linear classification with the help of a data set.
Problem of Forming of Musical-Performing Competency of Pedagogue- Musicians on the Base of Vanguard Works for Folk Instruments

the article highlights the problems of developing the teacher-musicians’ performing skills on the material of works of avant-garde composers for folk instruments and proposes ways to solve them. Folk instruments and avant-garde music are still perceived as incompatible phenomenaby many contemporaries, and educational programs in the field of training “Pedagogical Education” (profile “Musical Education”) inherit the traditional approach, which implies the mastery of folk instruments by performers, primarily the classical repertoire, closely related to Russian folk culture. As a result, avant-garde compositions for an accordion or guitar remain out of the attention of both university teachers and their pupils, future specialists in the field of music pedagogy and cultural and educational activities. Conclusions of the study: it is necessary to change the attitude towards folk instruments and the educational potential of avant-garde music for folk instruments; training programs require improvement in the content and composition of disciplines, among which the analysis of musical works and the art of interpretation deserve particular attention; in the teaching methodology, preference should be given to the problematic method and the practice-oriented approach.
No-Reference Quality Assessment for UAV Patrol Images of Transmission Line

Uav patrol has gradually become the main operation mode of transmission line patrol task, however, due to the influence of the shooting mode and weather, the patrol images are inevitably distorted, resulting in quality degradation. In order to effectively evaluate the patrol image quality, this paper proposes a no-reference quality assessment method. Specifically, we first construct a dedicated patrol image quality assessment database, and then propose a no-referenced quality assessment model based on structure, texture and exposure. The experimental result shows that the method surpasses existing methods and is highly consistent with the quality labels.
COMPARATIVE STUDY: DISTANCE EDUCATION OF STUDENTS AT VOCATIONAL SCHOOLS AND OF MEMBERS OF THE ARMED FORCES

The paper addresses the issue of education of students and adults in distance learning. Given that direct interaction between teacher and student appears to be a key factor in education, long-term distance learning is a much-discussed topic. Students at high vocational schools are immature and are in a very sensitive phase of their development. In long-term distance learning, the question remains whether the lack of social interaction between the student and the teacher and between the students does not reduce the effectiveness of the educational process. Adults who are participants in a long-term distance learning courses are expected to be disciplined and personally mature enough to manage the organization of their education and to replace the missing social interaction within their education with other self-developing activities. The empirical part will present research aimed at students at high vocational schools and members of the armed forces, as representatives of the adult population. The opinion of both monitored groups on the course and results of their distance education in comparison with full-time learning is found. The obtained data we used to compare the results between the adolescent and adult population. A partial goal of the research is to find out whether psychosocial skills of students and adults develop during distance learning. The tactics that students and adults choose in their education are also examined. Due to the ongoing COVID-19 pandemic, an anonymous questionnaire is chosen for the research. The comparison of results among students at high vocational schools and members of the armed forces is unique. Research conducted in the past has focused on either pupils or members of the armed forces. Due to the lock-down during the COVID-19 pandemic, it is possible to compare the results of long-term distance learning for a group of members of the armed forces and students who are currently preparing to perform their profession. Recommendations for pedagogical practice are derived from the obtained data, specifically for the implementation of teaching methods and strategies in long-term distance education.
Deep Learning Versatility in New Physics Searches

In this communication, we will discuss the application of Deep Learning models as a discriminant step to improve sensitivity at searches for new physics.Of particular interest, we will focus on the transferability of Deep Learning models, where a neural network trained to isolate a specific signal can still provide sensitivity when deriving upper limits on a different process.This is expanded to include a discussion on the versatility of Deep Learning models to provide enough sensitivity in cases where the signal present in the sample does not follow the assumptions of an analysis.